WO2019153888A1 - 空调机组控制方法和装置、空调机组 - Google Patents

空调机组控制方法和装置、空调机组 Download PDF

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Publication number
WO2019153888A1
WO2019153888A1 PCT/CN2018/121247 CN2018121247W WO2019153888A1 WO 2019153888 A1 WO2019153888 A1 WO 2019153888A1 CN 2018121247 W CN2018121247 W CN 2018121247W WO 2019153888 A1 WO2019153888 A1 WO 2019153888A1
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Prior art keywords
fan
compressor
temperature
frequency
preset
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Ceased
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PCT/CN2018/121247
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English (en)
French (fr)
Inventor
刘华
卓明胜
程琦
陈培生
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Gree Electric Appliances Inc of Zhuhai
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Gree Electric Appliances Inc of Zhuhai
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Priority to US16/961,728 priority Critical patent/US11408634B2/en
Priority to EP18905517.1A priority patent/EP3715737A4/en
Publication of WO2019153888A1 publication Critical patent/WO2019153888A1/zh
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/70—Control systems characterised by their outputs; Constructional details thereof
    • F24F11/80—Control systems characterised by their outputs; Constructional details thereof for controlling the temperature of the supplied air
    • F24F11/86—Control systems characterised by their outputs; Constructional details thereof for controlling the temperature of the supplied air by controlling compressors within refrigeration or heat pump circuits
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/50—Control or safety arrangements characterised by user interfaces or communication
    • F24F11/61—Control or safety arrangements characterised by user interfaces or communication using timers
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/70—Control systems characterised by their outputs; Constructional details thereof
    • F24F11/72—Control systems characterised by their outputs; Constructional details thereof for controlling the supply of treated air, e.g. its pressure
    • F24F11/74—Control systems characterised by their outputs; Constructional details thereof for controlling the supply of treated air, e.g. its pressure for controlling air flow rate or air velocity
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/89—Arrangement or mounting of control or safety devices
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/0205—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric not using a model or a simulator of the controlled system
    • G05B13/024—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric not using a model or a simulator of the controlled system in which a parameter or coefficient is automatically adjusted to optimise the performance
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F2110/00—Control inputs relating to air properties
    • F24F2110/10—Temperature
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F2140/00—Control inputs relating to system states
    • F24F2140/20—Heat-exchange fluid temperature
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F2140/00—Control inputs relating to system states
    • F24F2140/50—Load
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F2140/00—Control inputs relating to system states
    • F24F2140/60—Energy consumption

Definitions

  • the present disclosure relates to the field of air conditioning control technologies, and in particular, to an air conditioning unit control method and apparatus.
  • Air conditioning units are used to regulate the ambient temperature in many areas of life and production. For example, in the field of rail transit such as subways, water-cooled direct-cooling air-conditioning units are often used for cooling and cooling.
  • the related methods mostly detect the compressor in the air conditioning unit according to the detected ambient temperature by detecting the ambient temperature in the target area.
  • the embodiment of the present application provides a method for controlling an air conditioning unit, comprising: obtaining a return air temperature, a condensing temperature, an evaporating temperature, a compressor parameter, and a fan parameter of an air conditioning unit, wherein the air conditioning unit includes at least a compressor and a fan; Determining a predetermined evaporation temperature, wherein the predetermined evaporation temperature is determined by the return air temperature, the condensation temperature, the evaporation temperature, the compressor parameter, the fan parameter, the compressor power curve, and the fan power curve At a temperature, a sum of the compressor power and the fan power is minimum; determining, according to the compressor power curve and the fan power curve, a preset compressor frequency corresponding to the preset evaporation temperature, and a preset fan Frequency; controlling the compressor according to the preset compressor frequency, and controlling the fan according to the preset fan frequency.
  • the air conditioning unit control method further includes: determining the compressor power curve according to the return air temperature, the condensation temperature, the evaporation temperature, the compressor parameter, and the fan parameter. The fan power curve.
  • determining a preset compressor frequency corresponding to the preset evaporation temperature and a preset fan frequency according to the compressor power curve and the fan power curve including: according to the preset evaporation temperature The return air temperature, the condensation temperature, the compressor parameter, and the fan parameter respectively determine the preset compressor frequency and the preset fan frequency.
  • the air conditioning unit control method further includes: detecting whether a user load changes; and determining that the user load changes, controlling the fan frequency according to the target temperature and the return air temperature.
  • controlling the fan frequency according to the target temperature and the return air temperature comprises: comparing the return air temperature with the target temperature; and when the return air temperature is greater than the target temperature, And if the fan frequency is lower than an upper limit value of the fan frequency, raising the fan frequency; wherein the return air temperature is lower than the target temperature, and the fan frequency is higher than a lower limit value of the fan frequency In this case, the fan frequency is reduced.
  • the compressor frequency is raised if the return air temperature is greater than the target temperature and the fan frequency is equal to an upper limit value of the fan frequency
  • the compressor frequency is decreased if the return air temperature is less than the target temperature and the fan frequency is equal to a lower limit value of the fan frequency.
  • the embodiment of the present application further provides an air conditioning unit control device, including: an acquisition module, configured to acquire a return air temperature, a condensation temperature, an evaporation temperature, a compressor parameter, and a fan parameter of the air conditioning unit, wherein the air conditioning unit includes at least a compressor and a fan; a first determining module, configured to determine, according to the return air temperature, the condensation temperature, the evaporation temperature, the compressor parameter, the fan parameter, a compressor power curve, and a fan power curve a preset evaporating temperature, wherein, at the preset evaporating temperature, a sum of the compressor power and the fan power is minimum; and a second determining module configured to: according to the compressor power curve, the fan power curve Determining a preset compressor frequency and a preset fan frequency; and a control module for controlling the compressor according to the preset compressor frequency, and controlling the fan according to the preset fan frequency.
  • an acquisition module configured to acquire a return air temperature, a condensation temperature, an evaporation temperature,
  • An embodiment of the present application further provides an air conditioning unit control apparatus, including: a memory; and a processor coupled to the memory, the processor being configured to perform, as described above, based on an instruction stored in the memory An air conditioning unit control method according to an embodiment.
  • the embodiment of the present application further provides a computer readable storage medium, where the computer program is stored, and when the program is executed by the processor, the air conditioning unit control method according to any of the foregoing embodiments is implemented.
  • the embodiment of the present application further provides an air conditioning unit, including: a compressor and a fan; a temperature sensor configured to detect a return air temperature of the air conditioning unit; and a first pressure sensor configured to detect a first pressure, a first pressure is used to determine a condensing temperature of the air conditioning unit; a second pressure sensor is configured to detect a second pressure, the second pressure is used to determine an evaporation temperature of the air conditioning unit; and a controller.
  • an air conditioning unit including: a compressor and a fan; a temperature sensor configured to detect a return air temperature of the air conditioning unit; and a first pressure sensor configured to detect a first pressure, a first pressure is used to determine a condensing temperature of the air conditioning unit; a second pressure sensor is configured to detect a second pressure, the second pressure is used to determine an evaporation temperature of the air conditioning unit; and a controller.
  • the controller is configured to perform the operations of: obtaining the return air temperature, the condensation temperature, the evaporation temperature, a compressor parameter, a fan parameter; according to the return air temperature, the condensation temperature, Determining a preset evaporating temperature, the compressor power, the compressor parameter, the fan parameter, the compressor power curve, and the fan power curve, wherein the compressor power and the fan power are at the preset evaporating temperature And a minimum; determining, according to the compressor power curve, the fan power curve, a preset compressor frequency corresponding to the preset evaporation temperature, a preset fan frequency; and controlling the preset compressor frequency according to the a compressor that controls the fan according to the preset fan frequency.
  • An embodiment of the present application provides a method for controlling an air conditioning unit, including:
  • determining a compressor power curve and a fan power curve according to the return air temperature, the condensation temperature, the evaporation temperature, the compressor parameter, and the fan parameter including:
  • the compressor power curve is determined based on the return air temperature, the condensation temperature, the refrigeration capacity model, and the compressor power model.
  • the compressor parameters include compressor frequency, compressor power
  • the fan parameters include fan frequency, fan power
  • the refrigeration capacity model is established according to the following formula:
  • Q is the cooling capacity
  • F y is the compressor frequency
  • T e is the evaporation temperature
  • T C is the condensation temperature
  • ⁇ c1 , ⁇ c2 , ⁇ c3 , ⁇ c4 , ⁇ c5 , ⁇ c6 , ⁇ c7 , ⁇ c8 , ⁇ c9 and ⁇ c10 are constant coefficients, respectively.
  • the compressor power model is established according to the following formula:
  • P y is the compressor power
  • F y is the compressor frequency
  • T e is the evaporation temperature
  • T C is the condensation temperature
  • p c1 , p c2 , p c3 , p c4 , p c5 , p c6 , p c7 , p C8 , p c9 and p c10 are each a constant coefficient.
  • determining a preset compressor frequency and a preset fan frequency according to the compressor power curve and the fan power curve including:
  • the method further includes:
  • the detecting whether the user load has changed includes:
  • the continuous return air temperature is equal to the value of the target temperature during a continuous preset time period, and it is determined that the user load does not change;
  • the continuous returning temperature is not equal to the value of the target temperature during a continuous preset period of time, and the user load is determined to change.
  • adjusting the fan frequency according to the ambient temperature and the return air temperature comprises:
  • the fan frequency is decreased if the return air temperature is less than or equal to the ambient temperature.
  • the compressor frequency is adjusted based on the adjusted fan frequency, including:
  • the compressor frequency is decreased.
  • the embodiment of the present application further provides an air conditioning unit control device, including:
  • the obtaining module is configured to obtain a return air temperature, a condensing temperature, an evaporating temperature, a compressor parameter, and a fan parameter of the air conditioning unit, wherein the air conditioning unit comprises at least a compressor and a fan;
  • a first determining module configured to determine a compressor power curve and a fan power curve according to the return air temperature, the condensation temperature, the evaporation temperature, the compressor parameter, and the fan parameter;
  • a second determining module configured to determine a preset compressor frequency and a preset fan frequency according to the compressor power curve and the fan power curve;
  • control module configured to control the compressor according to the preset compressor frequency; and control the fan according to the preset fan frequency.
  • FIG. 1 is a schematic flow chart showing a process of a control method of an air conditioning unit according to an embodiment of the present disclosure
  • FIG. 2 is a schematic structural diagram of a configuration of an air conditioning unit control device according to an embodiment of the present disclosure
  • FIG. 3 is a schematic flow chart of applying an air conditioning unit control method and apparatus provided by an embodiment of the present application to energy-saving control of a water-cooled direct-cooling air-conditioning unit in a subway in a scenario example;
  • FIG. 4 is a fan power curve, a compressor power curve, and a total machine obtained by applying the air conditioning unit control method and apparatus provided by the embodiment of the present application to energy-saving control of a water-cooled direct-cooling air-conditioning unit in a subway in a scenario example.
  • the present application considers that the various interaction parameters of the air conditioning unit can be analyzed in depth, and combined with various operating parameters, the fans, compressors and the like in the air conditioning unit are separately performed.
  • the precise and precise regulation makes the overall operation of multiple units of the air conditioning unit to an optimal operating state. Therefore, the technical problems of low accuracy and poor control effect on the control of the air conditioning unit existing in the related method can be solved, and the technical effects of comprehensively adjusting the influence of various operating parameters and accurately performing energy saving regulation on the air conditioning unit can be achieved.
  • the embodiment of the present disclosure provides a method and a device for controlling an air conditioning unit, so as to solve the technical problem that the accuracy of the air conditioning unit control is not high and the effect is poor in the related method, and the effect of comprehensive operation parameters is obtained.
  • an air conditioning unit control method is provided.
  • the method may specifically include the following steps.
  • S101 Obtain a return air temperature, a condensation temperature, an evaporation temperature, a compressor parameter, and a fan parameter of the air conditioning unit, wherein the air conditioning unit includes at least a compressor and a fan.
  • the air conditioning unit may be a water-cooled direct-cooling air conditioning unit. Different from the air conditioner combined with the chiller and the combination cabinet, the above-mentioned water-cooled direct-cooling air-conditioning unit has the characteristics of good energy-saving effect and easy installation, and its popularization and application has been paid more and more attention.
  • the target area to be applied by the air conditioning unit may be a shopping mall, a hotel, or the like, or a transportation such as a subway or a train. It should be noted that the above-mentioned air conditioning unit and target area are only for better explaining the embodiments of the present application. In the specific implementation, other types of air conditioning units other than the above-described air conditioning units may be used depending on the specific situation, and may be applied to other target areas than the above-mentioned places and regions. In this regard, the application is not limited.
  • the air conditioning unit includes at least a compressor (including an inverter compressor) and a fan (including an inverter blower).
  • the compressor may be specifically configured to output a cooling amount to the target area to cool the target area.
  • the above fan can be specifically used for supplying air to the target area, and by adjusting the amount of the supplied air, affecting the temperature of the target area and the human experience in the target area.
  • the operation of the compressor and the fan in the air conditioning unit will have an important influence on the ambient temperature and the human body experience in the target area, and therefore it is proposed to simultaneously perform the above two types of devices.
  • the relevant regulation and control makes the air conditioning unit as a whole in an optimal operating state.
  • the air conditioning unit further includes other corresponding devices.
  • the air conditioning unit may further include: a water-cooled condenser, an electronic expansion valve, an evaporator (for example, a direct evaporative fin evaporator), and a sensor system.
  • the sensor system may specifically include: a high pressure sensor, a low pressure sensor, an ambient temperature sensor, a return air temperature sensor, a supply air temperature sensor, a cooling water inlet temperature sensor, a cooling water outlet temperature sensor, and the like.
  • the compressor parameters may specifically include a compressor frequency, a compressor power, and the like
  • the fan parameters may specifically include a fan frequency, a fan power, and the like.
  • the return air temperature, the condensing temperature, and the evaporating temperature of the target area may be specifically implemented, and may include the following: determining the return air temperature by using data collected by the return air temperature sensor; The acquired data determines the condensation temperature; the evaporation temperature is determined by data collected by a low pressure pressure sensor.
  • other temperature parameters may be acquired according to one or more of the following manners for more detailed data analysis: the air supply temperature is collected by the air supply temperature sensor; The ambient temperature in the target area is collected by an ambient temperature sensor.
  • obtaining the compressor parameters, the fan parameters, and other parameters of the air conditioning unit may specifically include the following: turning on the air conditioning unit, turning on the fan, and collecting and recording each fan frequency adjustment by using the controller as the fan frequency increases.
  • the fan frequency corresponds to the fan frequency corresponding to the fan frequency, as the fan frequency and fan power during the operation of the air conditioning unit; control the cooling capacity, condensing temperature, return air temperature unchanged, adjust the air supply volume of the fan, the collection corresponds to different delivery
  • the evaporating temperature of the wind and air volume is used as the evaporating temperature during the operation of the air conditioning unit.
  • the cooling capacity of different sets of compressor frequencies, different evaporating temperatures and different condensing temperatures is tested, and the cooling capacity during the operation of the air conditioning unit is obtained.
  • Compressor frequency and condensing temperature through the controller, test the input power of multiple sets of different compressor frequencies, different evaporating temperatures and different condensing temperatures, as the compressor power during the operation of the air conditioning unit.
  • the air conditioning unit control method further includes: determining, according to the return air temperature, the condensation temperature, the evaporation temperature, the compressor parameter, the fan parameter, a compressor power curve, a fan power curve, A predetermined evaporation temperature is determined, wherein at the predetermined evaporation temperature, a sum of the compressor power and the fan power is minimum.
  • the air conditioning unit control method before determining the preset evaporation temperature, the air conditioning unit control method further includes: S102: according to the return air temperature, the condensation temperature, the evaporation temperature, the compressor parameter, and the fan parameter , determine the compressor power curve, fan power curve.
  • the compressor power curve and the fan power curve are determined according to the return air temperature, the condensation temperature, the evaporation temperature, the compressor parameter, and the fan parameter. Includes the following:
  • S102-1 establishing a fan air volume model, an evaporating temperature model, a cooling capacity model, and a compressor power model according to the return air temperature, the condensation temperature, the evaporation temperature, the compressor parameter, and the fan parameter. ;
  • S102-2 determining the fan power curve according to the return air temperature, the condensation temperature, the fan air volume model, and the evaporation temperature model;
  • S102-3 determining the compressor power curve according to the return air temperature, the condensation temperature, the cooling capacity model, and the compressor power model.
  • relevant data may be sequentially extracted from the compressor parameters and the fan parameters; Relevant data, in turn, establish a fan air volume model, an evaporating temperature model, a cooling capacity model, and a compressor power model.
  • the air conditioning unit may be extracted from the fan parameter, and after the fan is operated, the fan frequency collected and recorded by the controller and the fan power corresponding to the fan frequency are performed as the fan frequency increases. Data analysis, the wind turbine volume model is obtained by data fitting. The fan air volume model can be used to characterize the variation of fan air volume with fan frequency and fan power. Then, the actual measured fan frequency, fan power, and wind turbine characteristic curve are used to calibrate, and the calibrated fan air volume model is obtained.
  • the calibrated fan air volume model may be specifically expressed in the following form:
  • q v can be expressed as the fan air volume
  • F s can be expressed as the fan frequency
  • P s can be expressed as the fan power
  • control cooling capacity, the condensing temperature, and the return air temperature may be extracted from the compressor parameter, the fan parameter, and other parameters, and the air volume of the fan is adjusted, and the collected air volume is collected.
  • the evaporation temperature model is established by data fitting.
  • the evaporation temperature model can be specifically used to characterize the variation law of the evaporation temperature with the amount of the supplied air when the condensation temperature, the return air temperature, and the cooling capacity are constant.
  • the above evaporation temperature model may specifically be expressed as the following form:
  • T e f(T C ,Q,T h ,q v )
  • T e can be expressed as an evaporation temperature
  • T h can be specifically expressed as a return air temperature
  • T C can be specifically expressed as a condensation temperature
  • Q can be specifically expressed as a cooling capacity
  • q v can be specifically expressed as a fan air volume.
  • the fan air volume can be specifically substituted by using the calibrated fan air volume.
  • multiple sets of different compressor frequencies, different evaporation temperatures, and different condensing temperatures may be extracted from the compressor parameters, the fan parameters, and other parameters, and The above data were analyzed by data, combined with the evaporation temperature model, and the cooling capacity model was established by data fitting.
  • the cooling capacity model can be specifically used to characterize the variation of the cooling capacity with the evaporation temperature, the condensation temperature, and the compressor frequency.
  • the above cooling capacity model may specifically be expressed in the following form:
  • Q can be specifically expressed as the cooling capacity
  • T C can be specifically expressed as the condensation temperature
  • F y can be specifically expressed as the compressor frequency
  • T e can be specifically expressed as the evaporation temperature.
  • the above evaporation temperature can be specifically substituted using an evaporation temperature model.
  • the cooling capacity model can be established according to the following formula:
  • Q can be specifically expressed as the cooling capacity
  • F y can be specifically expressed as the compressor frequency
  • T e can be specifically expressed as the evaporation temperature
  • T C can be specifically expressed as the condensation temperature
  • ⁇ c1 , ⁇ c2 , ⁇ c3 , ⁇ c4 , ⁇ c5 , ⁇ c6 , ⁇ c7 , ⁇ c8 , ⁇ c9 , ⁇ c10 can be expressed as constant coefficients, respectively.
  • the constant coefficients ⁇ c1 , ⁇ c2 , ⁇ c3 , ⁇ c4 , ⁇ c5 , ⁇ c6 , ⁇ c7 , ⁇ c8 , ⁇ c9 , ⁇ c10 may be specifically determined according to the compressor parameters, the fan parameters and other parameters , determined by data fitting.
  • the compressor frequency model may also be reversed according to the cooling capacity model, wherein the compressor frequency model may specifically be used to characterize the variation of the compressor frequency with the evaporation temperature.
  • the above compressor model can be expressed in the following form:
  • Q can be specifically expressed as the cooling capacity
  • T C can be specifically expressed as the condensation temperature
  • F y can be specifically expressed as the compressor frequency
  • T e can be specifically expressed as the evaporation temperature.
  • the above evaporation temperature can be specifically substituted using an evaporation temperature model.
  • multiple sets of different compressor frequencies, different evaporation temperatures, and input powers of compressors at different condensation temperatures may be extracted from the compressor parameters, and data analysis is performed on the above data, in combination with other operations.
  • the parametric model establishes a compressor power model by data fitting.
  • the compressor power model can be specifically used to characterize the variation of compressor power (ie, compressor input power) with condensing temperature, evaporation temperature, and compressor frequency.
  • the compressor power model described above may be specifically represented in the following form:
  • P y can be specifically expressed as compressor power
  • T C can be specifically expressed as a condensation temperature
  • F y can be specifically expressed as a compressor frequency
  • T e can be specifically expressed as an evaporation temperature.
  • the compressor power model can be established by data fitting and calculations, in particular, according to the following formula:
  • P y can be specifically expressed as compressor power
  • F y can be specifically expressed as compressor frequency
  • T e can be specifically expressed as evaporation temperature
  • T C can be specifically expressed as condensation temperature
  • p c1 , p c2 , p c3 , p C4 , p c5 , p c6 , p c7 , p c8 , p c9 , and p c10 are each a constant coefficient.
  • the constant coefficients p c1 , p c2 , p c3 , p c4 , p c5 , p c6 , p c7 , p c8 , p c9 , p c10 may be specifically determined according to the compressor parameters, the fan parameters and other parameters. , determined by data fitting.
  • the fan power curve is determined according to the return air temperature, the condensing temperature, the fan air volume model, and the evaporating temperature model.
  • the following content may be included:
  • the fan air volume model and the specific evaporating temperature model are substituted into the corresponding operating parameters and mathematically arranged to obtain the fan power curve.
  • the fan power curve can be specifically used to characterize the variation of the fan power with the evaporating temperature under the condition that the user load is stable.
  • the above-described user load can be specifically understood as the target cooling amount requested by the user. If the target cooling capacity required by the user does not change, the user load can be considered to be stable and there is no change. If the target cooling capacity requested by the user changes, for example, if the user increases the set cooling capacity, the user load may be considered to be unstable and change.
  • the compressor power curve is determined according to the return air temperature, the condensing temperature, the cooling capacity model, and the compressor power model.
  • the following content may be included:
  • the specific compressor power model and the specific cooling capacity model are substituted into corresponding operating parameters and mathematically arranged to obtain the compressor power curve.
  • the above compressor power curve can be specifically used to characterize the variation of the compressor power with the evaporation temperature under the condition that the user load is stable.
  • S103 Determine a preset compressor frequency and a preset fan frequency according to the compressor power curve and the fan power curve.
  • the preset compressor frequency, the preset fan frequency corresponds to the preset evaporation temperature.
  • the preset compressor frequency and the preset fan frequency are determined according to the compressor power curve and the fan power curve. In specific implementation, the following may be included:
  • S103-1 determining a preset evaporation temperature according to the compressor power curve and the fan power curve, wherein, at the preset evaporation temperature, a sum of the compressor power and the fan power is minimum;
  • S103-2 determining the preset compressor frequency and the preset fan frequency according to the preset evaporation temperature, the return air temperature, the condensation temperature, the compressor parameter, and the fan parameter, respectively .
  • the fan power curve and the compressor power curve may be in the same graph; the sum of the fan power and the compressor power is determined in the graph (ie, the total unit of the air conditioning unit) The temperature corresponding to the lowest point of the power) is taken as the preset evaporation temperature.
  • the above-mentioned preset evaporation temperature can be specifically understood as the optimum evaporation temperature.
  • the user load can be satisfied, and the sum of the compressor power and the fan power (ie, equivalent to the overall power of the air conditioning unit) reaches a minimum. It can be considered that under the preset evaporating temperature, under the premise of satisfying the user load and the user load is stable, the air conditioning unit as a whole is in an optimal operating state, and has a good energy saving effect.
  • the preset evaporating temperature may be substituted into a compressor frequency model or a cooling capacity model, in combination with a specific preset evaporating temperature, the return air temperature, the condensing temperature, and the compressor.
  • the parameter, the fan parameter obtains the preset compressor frequency, that is, the optimal compressor frequency.
  • the preset evaporating temperature may be substituted into the fan air volume model and the evaporating temperature model, and combined with a specific preset evaporating temperature, the return air temperature, the condensing temperature, the compressor parameter, and the fan parameter, the preset is obtained.
  • Fan frequency which is the optimal fan frequency.
  • S104 Control the compressor according to the preset compressor frequency; and control the fan according to the preset fan frequency.
  • the preset compressor frequency can be sent to the compressor through the controller of the air conditioning unit, so that the compressor controls the operation of the compressor according to the preset compression frequency; the controller of the air conditioning unit will pre- The fan frequency is sent to the fan so that the fan controls the operation of the fan according to the preset fan frequency; thus, the air conditioning unit as a whole can be in an optimal or relatively optimal operating state, that is, the user load is satisfied when the user load is stable. To improve the human body experience, reduce energy waste and achieve better energy saving and emission reduction effects.
  • the compressor power curve and the fan power curve are established by acquiring various operating parameters of the air conditioning unit, and the compressor power curve and the fan power curve are comprehensively used to determine the preset compressor.
  • Frequency, preset fan frequency so that the compressor and fan can be precisely controlled at the same time, so that the air-conditioning unit as a whole can achieve a better operating state, thus solving the low accuracy and control effect of the air-conditioning unit control in the related method.
  • the air conditioning unit control method provided above is mainly applied to a situation in which the user load is stable, that is, the user load does not change.
  • the user load changes for example, a new user load is set, it is often necessary to additionally control the compressor and the fan to preferentially and accurately reach the new user load required by the user; after the user load is reached,
  • the above control method is used to control the compressor and the fan to operate according to the preset compressor frequency and the preset fan frequency, so that the air conditioning unit is in an optimal operating state.
  • the air conditioning unit when the user load changes, the air conditioning unit is adjusted to meet the new user load priority, and the air conditioning unit is adjusted to the case where the user load does not change.
  • the priority of the optimal operating state that is to say, in the case that the user load does not change, the controller of the air conditioning unit controls the fan frequency and the compressor frequency to make the air conditioning unit as a whole in an optimal operating state.
  • the controller of the air conditioning unit preferentially adjusts the fan and the compressor to achieve a new user load; after the new user load is reached, that is, after the user load is stabilized, the fan frequency is separately regulated.
  • the compressor frequency makes the air conditioning unit as a whole in an optimal operating state.
  • the method may specifically include the following content:
  • the ambient temperature is equal to the return air temperature.
  • the fan frequency is controlled in accordance with the return air temperature and the target temperature.
  • the foregoing detects whether the user load changes.
  • the following content may be included:
  • the target temperature can be specifically understood as a specific temperature set by the user according to his own requirements.
  • the duration of the preset time period may be specifically 5 minutes to 20 minutes.
  • the durations of the preset time periods listed above are only for better explaining the embodiments of the present application.
  • other durations may also be designed as the duration of the preset time period according to specific conditions and accuracy requirements. In this regard, the application is not limited.
  • the return air temperature is equal to the target temperature in a continuous preset time period, and can be understood as the collected return air temperature in a preset time period. It is the same as the value of the target temperature. In contrast, during the continuous preset time period, the return air temperature is not equal to the target temperature, and may be understood as the collected return air temperature and the target temperature in a preset time period.
  • the values vary, for example, the return air temperature is greater than the target temperature at a certain point in time, or the return air temperature is less than the target temperature for a certain period of time.
  • the fan frequency is adjusted according to the ambient temperature and the return air temperature.
  • the following content may be included:
  • the ambient temperature may specifically refer to the actual temperature of the target area.
  • the return air temperature is usually equal to the ambient temperature value; when the user load is unstable and changes, the return air temperature and the ambient temperature value may be different.
  • the fan may be up-converted by raising the fan frequency; and the return air temperature is less than or equal to In the case of the ambient temperature, the fan is down-converted by reducing the fan frequency, so that the fan operation can be effectively regulated according to the new user load.
  • the compressor frequency is adjusted according to the adjusted fan frequency.
  • the following may be included:
  • the upper limit value of the fan frequency can be specifically understood as the highest frequency of the fan operation; the lower limit value of the fan frequency can be specifically understood as the lowest frequency of the fan operation.
  • the compressor may be up-converted by raising the compressor frequency;
  • the compressor is down-converted, so that the compressor operation can be effectively performed according to the new user load. Corresponding regulation.
  • the fan frequency is controlled based on the return air temperature and the target temperature. That is, comparing the return air temperature with the target temperature; if the return air temperature is greater than the target temperature, and the fan frequency is lower than an upper limit value of the fan frequency, increasing the fan frequency; The fan frequency is decreased if the return air temperature is less than the target temperature and the fan frequency is higher than a lower limit of the fan frequency.
  • the compressor frequency is raised if the return air temperature is greater than the target temperature and the fan frequency is equal to an upper limit value of the fan frequency.
  • the compressor frequency is decreased if the return air temperature is less than the target temperature and the fan frequency is equal to a lower limit value of the fan frequency.
  • the fan and the compressor are respectively subjected to targeted up-conversion or down-conversion control, so that the air-conditioning unit as a whole can reach the user load quickly and accurately.
  • the fan power curve and the compressor power curve are respectively determined according to various operating parameters. Two power curves determine the preset fan frequency and the preset compressor frequency to control the overall operation state of the air conditioning unit to achieve the purpose of improving user experience, reducing energy consumption and improving energy saving effect under the premise of satisfying user load. .
  • the air conditioning unit control method establishes a compressor power curve and a fan power curve by acquiring various operating parameters of the air conditioning unit, and comprehensively utilizes
  • the compressor power curve and the fan power curve determine the preset compressor frequency and the preset fan frequency, so that the compressor and the fan can be precisely controlled at the same time, so that the air-conditioning unit as a whole achieves a better operating state, thereby solving the related method.
  • the embodiment of the present application further provides an air conditioning unit control device.
  • an air conditioning unit control device For details, refer to the schematic structural diagram of the air conditioning unit control device according to the embodiment of the present disclosure shown in FIG. 2 .
  • the device mainly includes the following structures: an acquisition module 201, a first determination module 202, a second determination module 203, and a control module 204.
  • the obtaining module 201 is specifically configured to obtain a return air temperature, a condensation temperature, an evaporation temperature, a compressor parameter, and a fan parameter of the air conditioning unit, wherein the air conditioning unit includes at least a compressor and a fan.
  • the first determining module 202 is configured to determine, according to the return air temperature, the condensation temperature, the evaporation temperature, the compressor parameter, the fan parameter, a compressor power curve, a fan power curve, A predetermined evaporation temperature is determined, wherein at the predetermined evaporation temperature, a sum of the compressor power and the fan power is minimum.
  • the first determining module 202 is specifically configured to determine a compressor power curve according to the return air temperature, the condensation temperature, the evaporation temperature, the compressor parameter, and the fan parameter. , fan power curve.
  • the second determining module 203 is specifically configured to determine a preset compressor frequency and a preset fan frequency according to the compressor power curve and the fan power curve.
  • the control module 204 is specifically configured to control the compressor according to the preset compressor frequency; and control the fan according to the preset fan frequency.
  • the determining module 202 may specifically include the following structural units:
  • the modeling unit may be specifically configured to respectively establish a fan air volume model, an evaporating temperature model, a cooling capacity model, according to the return air temperature, the condensation temperature, the evaporation temperature, the compressor parameter, and the fan parameter, Compressor power model;
  • the first determining unit may be specifically configured to determine the fan power curve according to the return air temperature, the condensation temperature, the fan air volume model, and the evaporation temperature model;
  • the second determining unit may be specifically configured to determine the compressor power curve according to the return air temperature, the condensation temperature, the cooling capacity model, and the compressor power model.
  • the compressor parameters may specifically include a compressor frequency, a compressor power, and the like
  • the fan parameters may specifically include a fan frequency, a fan power, and the like.
  • the cooling capacity model may be established according to the following formula:
  • Q can be specifically expressed as the cooling capacity
  • F y can be specifically expressed as the compressor frequency
  • T e can be specifically expressed as the evaporation temperature
  • T C can be specifically expressed as the condensation temperature
  • ⁇ c1 , ⁇ c2 , ⁇ c3 , ⁇ c4 , ⁇ c5 , ⁇ c6 , ⁇ c7 , ⁇ c8 , ⁇ c9 , ⁇ c10 can be expressed as constant coefficients, respectively.
  • the constant coefficient may be specifically determined by data fitting according to the compressor parameter, the fan parameter and other parameters.
  • the compressor power model may be established according to the following formula:
  • P y can be specifically expressed as compressor power
  • F y can be specifically expressed as compressor frequency
  • T e can be specifically expressed as evaporation temperature
  • T C can be specifically expressed as condensation temperature
  • p c1 , p c2 , p c3 , p C4 , p c5 , p c6 , p c7 , p c8 , p c9 , and p c10 can each be expressed as a constant coefficient.
  • the constant coefficient may be specifically determined by data fitting according to the compressor parameter, the fan parameter and other parameters.
  • the second determining module 203 may specifically include the following structural units:
  • the third determining unit may be specifically configured to determine a preset evaporating temperature according to the compressor power curve and the fan power curve, wherein the compressor power and the fan power are at the preset evaporating temperature And minimum;
  • the fourth determining unit may be specifically configured to determine the preset compressor frequency and the location respectively according to the preset evaporation temperature, the return air temperature, the condensation temperature, the compressor parameter, and the fan parameter The preset fan frequency.
  • the air conditioning unit control device may further include the following structural units:
  • the detecting unit can be specifically configured to detect whether the user load changes
  • the acquiring unit may be specifically configured to acquire an ambient temperature of the target area when determining that the user load changes;
  • the first adjusting unit may be specifically configured to adjust the fan frequency according to the ambient temperature and the return air temperature;
  • the second adjusting unit may be specifically configured to adjust the compressor frequency according to the adjusted fan frequency
  • the control unit can be specifically configured to control the fan according to the adjusted fan frequency; and control the compressor according to the adjusted compressor frequency.
  • the detecting unit when it is specifically implemented, it may be executed according to the following procedure: comparing the value of the return air temperature and the target temperature in a continuous preset time period; and the return air in a continuous preset time period
  • the temperature is equal to the value of the target temperature, and it is determined that the user load does not change; in a continuous preset time period, the return air temperature and the target temperature are not equal, and the user load is determined to change.
  • the duration of the preset time period may specifically be 5 minutes to 20 minutes. Of course, it should be noted that the durations of the preset time periods listed above are only for better explaining the embodiments of the present application. During specific implementation, the specific duration of the preset time period may be adjusted according to specific conditions and accuracy requirements. In this regard, the application is not limited.
  • the first adjusting unit when the first adjusting unit is specifically implemented, it may be performed according to the following procedure: comparing the return air temperature with the ambient temperature; and when the return air temperature is greater than the ambient temperature, increasing The fan frequency; wherein the fan frequency is reduced if the return air temperature is less than or equal to the ambient temperature.
  • the second adjusting unit when the second adjusting unit is specifically implemented, it may be executed according to the following procedure: comparing the adjusted fan frequency with an upper limit value of a fan frequency and a lower limit value of a fan frequency; When the adjusted fan frequency is equal to the upper limit value of the fan frequency, the compressor frequency is raised; and when the adjusted fan frequency is equal to the lower limit value of the fan frequency, the Compressor frequency.
  • the air conditioning unit control device acquires various operating parameters of the air conditioning unit through the acquiring module, and establishes a compressor power curve through the first determining module.
  • the fan power curve, and the second determining module comprehensively utilizes the compressor power curve and the fan power curve to determine the preset compressor frequency and the preset fan frequency, so that the control module can accurately control the compressor and the fan at the same time, so that the air conditioning unit
  • the overall operation status is better, which solves the technical problems of low accuracy and poor control effect of the air conditioning unit control in the related methods, and achieves the interaction effect of various operating parameters, and accurately on the air conditioning unit.
  • the technical effect of energy-saving regulation is also carried out; also, according to the relevant operating parameters, the specific frequency adjustment of the compressor and the fan is performed according to the relevant operating parameters, so as to effectively adjust the return air temperature and quickly meet the user load requirement. Improve the user experience.
  • the air conditioning unit control method and apparatus provided by the embodiments of the present application are applied to automatically optimize the energy-saving control of the water-cooled direct-cooling air-conditioning unit installed in a subway.
  • a schematic diagram of a process for energy-saving control of a water-cooled direct-cooling air-conditioning unit in a subway by applying the air-conditioning unit control method and apparatus provided by the embodiment of the present application in a scenario example shown in FIG. 3 can be combined with the following. carried out.
  • T C can be specifically expressed as a condensation temperature
  • F y can be specifically expressed as a compressor frequency
  • T e can be specifically expressed as an evaporation temperature.
  • Q can be specifically expressed as the cooling capacity
  • F y can be specifically expressed as the compressor frequency
  • T C can be specifically expressed as the evaporation temperature
  • T c can be specifically expressed as the condensation temperature
  • ⁇ c1 , ⁇ c2 , ⁇ c3 , ⁇ c4 , ⁇ c5 , ⁇ c6 , ⁇ c7 , ⁇ c8 , ⁇ c9 , ⁇ c10 can be expressed as constant coefficients, respectively.
  • the compressor input power of different sets of compressor frequency, evaporation temperature, and condensation temperature can be tested through experimental tests.
  • the relationship of the input power of the compressor ie, the compressor power model
  • P y f(T C , T e , F y ).
  • T C can be specifically expressed as a condensation temperature
  • F y can be specifically expressed as a compressor frequency
  • T e can be specifically expressed as an evaporation temperature.
  • P y can be specifically expressed as compressor power
  • F y can be specifically expressed as compressor frequency
  • T e can be specifically expressed as evaporation temperature
  • T C can be specifically expressed as condensation temperature
  • p c1 , p c2 , p c3 , p C4 , p c5 , p c6 , p c7 , p c8 , p c9 , and p c10 are each a constant coefficient.
  • the controller when the operation is stable, according to the currently detected evaporation temperature, the condensation temperature, and the compressor output frequency (ie, the compressor power), the controller can automatically calculate the compressor output cooling capacity, and the cooling capacity is User load.
  • the controller can calculate the relationship between the fan power and the evaporating temperature according to the above formulas 1.1 and 2.1, and form a corresponding data table 1, and then draw the evaporating temperature/fan power curve (ie, the fan power curve) as indicated by the dotted line of the system. .
  • controller calculate the relationship between the compressor power and the evaporation temperature under the same compressor output cooling capacity, and form the corresponding data table 2, and then draw the evaporation temperature as shown by the system dashed line / Compressor power curve (ie compressor power curve).
  • compressor power curve ie compressor power curve
  • the data table 3 that is, the data table of the total power and the evaporation temperature of the whole machine is listed.
  • the controller finds out the minimum total power of the whole machine, that is, the evaporation temperature T e corresponding to P s +P y .
  • the evaporation temperature is the optimum evaporation temperature (ie, the preset evaporation temperature).
  • the controller calculates the corresponding compressor frequency (ie, the preset compressor frequency) at the optimal evaporation temperature; and outputs the calculated compressor frequency to the compressor to control the compressor.
  • the corresponding compressor frequency ie, the preset compressor frequency
  • the controller calculates the optimal fan frequency (ie, the preset fan frequency), and inputs the frequency to the fan. To control the fan.
  • the optimal fan frequency ie, the preset fan frequency
  • the most energy-saving fan control frequency point and the compressor control frequency point can be found under the condition of ensuring the user load demand, thereby realizing the energy saving of the whole machine operation.
  • the detection of whether the user load changes can be performed in the following manner:
  • the detected return air temperature is not equal to the target set temperature (ie, the target temperature) for the continuous A time (ie, the preset time period)
  • the target set temperature ie, the target temperature
  • the continuous A time ie, the preset time period
  • the compressor frequency adjustment priority is greater than when the user load is stabilized.
  • the fan frequency adjustment priority is greater than when the user load is stable.
  • the above control it is possible to accurately control the return air temperature when the user load changes, to meet the user load demand and to achieve the user load.
  • the load stability control can be entered, and the air conditioning unit will automatically find the optimal compressor control frequency and the fan control frequency, thereby achieving energy saving for the overall operation.
  • the air conditioning unit control method and apparatus obtained various operating parameters of the air conditioning unit, establish a compressor power curve, a fan power curve, and comprehensively utilize the compressor power curve and the fan power.
  • the curve determines the preset compressor frequency and the preset fan frequency, so that the compressor and the fan can be accurately controlled at the same time, so that the air-conditioning unit as a whole can achieve a better running state, and the control of the air-conditioning unit existing in the relevant method is indeed solved.
  • the technical problems of low precision and poor control effect can achieve the technical effect of comprehensively adjusting the influence of various operating parameters and accurately controlling the air conditioning unit.
  • a storage medium in which the above software is stored, including but not limited to: an optical disk, a floppy disk, a hard disk, an erasable memory, and the like.
  • modules or steps of the above-described embodiments of the present disclosure may be implemented by a general-purpose computing device, which may be centralized on a single computing device or distributed across multiple computing devices. On a network, in some embodiments, they may be implemented in program code executable by a computing device such that they may be stored in a storage device for execution by the computing device and, in some cases, may be different.
  • the steps shown or described herein are performed sequentially, or they are separately fabricated into individual integrated circuit modules, or a plurality of modules or steps thereof are fabricated as a single integrated circuit module.
  • embodiments of the present disclosure are not limited to any specific combination of hardware and software.

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Abstract

一种空调机组控制方法和装置，其中，该方法包括：获取空调机组的回风温度、冷凝温度、蒸发温度、压缩机参数、风机参数；根据回风温度、冷凝温度、蒸发温度、压缩机参数、风机参数、压缩机功率曲线、风机功率曲线，确定预设蒸发温度，其中，在所述预设蒸发温度下，所述压缩机功率与所述风机功率的和最小；根据压缩机功率曲线、风机功率曲线，确定与所述预设蒸发温度对应的预设压缩机频率、预设风机频率；根据预设压缩机频率控制压缩机；根据预设风机频率控制风机。该方法通过获取多种运行参数，建立压缩机功率曲线、风机功率曲线，并综合利用压缩机功率曲线、风机功率曲线分别确定预设压缩机频率、预设风机频率，以便可以同时对压缩机、风机进行精确控制，从而解决了相关方法的对空调机组控制的精确度不高、控制效果较差的技术问题。

Description

空调机组控制方法和装置、空调机组
相关申请的交叉引用
本申请是以CN申请号为201810141010.5，申请日为2018年2月11日的申请为基础，并主张其优先权，该CN申请的公开内容在此作为整体引入本申请中。
技术领域
本公开涉及空调控制技术领域，具体而言，涉及一种空调机组控制方法和装置。
背景技术
在生活、生产中的诸多领域场所都有使用空调机组进行环境温度的调控。例如，在地铁等轨道交通领域，常常采用水冷直接制冷式空调机组进行制冷降温。
目前，为了能够有效地控制空调机组的运行，相关方法大多是通过检测目标区域内的环境温度，根据所检测的环境温度，对空调机组中的压缩机进行相应调节。
发明内容
本申请实施方式提供了一种空调机组控制方法，包括：获取空调机组的回风温度、冷凝温度、蒸发温度、压缩机参数、风机参数，其中，所述空调机组至少包括压缩机和风机；根据所述回风温度、所述冷凝温度、所述蒸发温度、所述压缩机参数、所述风机参数、压缩机功率曲线、风机功率曲线，确定预设蒸发温度，其中，在所述预设蒸发温度下，所述压缩机功率与所述风机功率的和最小；根据所述压缩机功率曲线、所述风机功率曲线，确定与所述预设蒸发温度对应的预设压缩机频率、预设风机频率；根据所述预设压缩机频率控制所述压缩机，根据所述预设风机频率控制所述风机。
在一些实施例中，所述空调机组控制方法还包括：根据所述回风温度、所述冷凝温度、所述蒸发温度、所述压缩机参数、所述风机参数，确定所述压缩机功率曲线、所述风机功率曲线。
在一些实施例中，根据所述压缩机功率曲线、所述风机功率曲线，确定与所述预设蒸 发温度对应的预设压缩机频率、预设风机频率，包括：根据所述预设蒸发温度、所述回风温度、所述冷凝温度、所述压缩机参数、所述风机参数，分别确定所述预设压缩机频率、所述预设风机频率。
在一些实施例中，所述空调机组控制方法还包括：检测用户负荷是否发生变化；在确定所述用户负荷发生变化的情况下，根据目标温度、所述回风温度，控制所述风机频率。
在一些实施例中，根据所述目标温度、所述回风温度，控制所述风机频率，包括：比较所述回风温度与所述目标温度；在所述回风温度大于所述目标温度、且所述风机频率低于风机频率的上限值的情况下，升高所述风机频率；在所述回风温度小于所述目标温度、且所述风机频率高于风机频率的下限值的情况下，降低所述风机频率。
在一些实施例中，在所述回风温度大于所述目标温度、且所述风机频率等于所述风机频率的上限值的情况下，升高所述压缩机频率；
在所述回风温度小于所述目标温度、且所述风机频率等于所述风机频率的下限值的情况下，降低所述压缩机频率。
本申请实施例还提供了一种空调机组控制装置，包括：获取模块，用于获取空调机组的回风温度、冷凝温度、蒸发温度、压缩机参数、风机参数，其中，所述空调机组至少包括压缩机和风机；第一确定模块，用于根据所述回风温度、所述冷凝温度、所述蒸发温度、所述压缩机参数、所述风机参数，压缩机功率曲线、风机功率曲线，确定预设蒸发温度，其中，在所述预设蒸发温度下，所述压缩机功率与所述风机功率的和最小；第二确定模块，用于根据所述压缩机功率曲线、所述风机功率曲线，确定预设压缩机频率、预设风机频率；控制模块，用于根据所述预设压缩机频率控制所述压缩机，根据所述预设风机频率控制所述风机。
本申请实施例还提供了一种空调机组控制装置，包括：存储器；和耦接至所述存储器的处理器，所述处理器被配置为基于存储在所述存储器中的指令，执行如前述任一实施例所述的空调机组控制方法。
本申请实施例还提供了一种计算机可读存储介质，其上存储有计算机程序，该程序被处理器执行时实现如前述任一实施例所述的空调机组控制方法。
本申请实施例还提供了一种空调机组，包括：压缩机和风机；温度传感器，被配置为检测所述空调机组的回风温度；第一压力传感器，被配置为检测第一压力，所述第一压力用于确定所述空调机组的冷凝温度；第二压力传感器，被配置为检测第二压力，所述第二压力用于确定所述空调机组的蒸发温度；和控制器。所述控制器被配置为执行下述操作： 获取所述回风温度、所述冷凝温度、所述蒸发温度、压缩机参数、风机参数；根据所述回风温度、所述冷凝温度、所述蒸发温度、所述压缩机参数、所述风机参数、压缩机功率曲线、风机功率曲线，确定预设蒸发温度，其中，在所述预设蒸发温度下，所述压缩机功率与所述风机功率的和最小；根据所述压缩机功率曲线、所述风机功率曲线，确定与所述预设蒸发温度对应的预设压缩机频率、预设风机频率；根据所述预设压缩机频率控制所述压缩机，根据所述预设风机频率控制所述风机。
本申请实施方式提供了一种空调机组控制方法，包括：
获取空调机组的回风温度、冷凝温度、蒸发温度、压缩机参数、风机参数，其中，所述空调机组至少包括压缩机和风机；
根据所述回风温度、所述冷凝温度、所述蒸发温度、所述压缩机参数、所述风机参数，确定压缩机功率曲线、风机功率曲线；
根据所述压缩机功率曲线、所述风机功率曲线，确定预设压缩机频率、预设风机频率；
根据所述预设压缩机频率控制所述压缩机；根据所述预设风机频率控制所述风机。
在一些实施例中，根据所述回风温度、所述冷凝温度、所述蒸发温度、所述压缩机参数、所述风机参数，确定压缩机功率曲线、风机功率曲线，包括：
根据所述回风温度、所述冷凝温度、所述蒸发温度、所述压缩机参数、所述风机参数，分别建立风机风量模型、蒸发温度模型、制冷量模型、压缩机功率模型；
根据所述回风温度、所述冷凝温度、所述风机风量模型、所述蒸发温度模型，确定所述风机功率曲线；
根据所述回风温度、所述冷凝温度、所述制冷量模型、所述压缩机功率模型，确定所述压缩机功率曲线。
在一些实施例中，所述压缩机参数包括压缩机频率、压缩机功率，所述风机参数包括风机频率、风机功率。
在一些实施例中，按照以下公式建立所述制冷量模型：
Figure PCTCN2018121247-appb-000001
其中，Q为制冷量，F y为压缩机频率，T e为蒸发温度，T C为冷凝温度，φ c1、φ c2、φ c3、φ c4、φ c5、φ c6、φ c7、φ c8、φ c9、φ c10分别为常数系数。
在一些实施例中，按照以下公式建立所述压缩机功率模型：
Figure PCTCN2018121247-appb-000002
其中，P y为压缩机功率，F y为压缩机频率，T e为蒸发温度，T C为冷凝温度，p c1、p c2、p c3、p c4、p c5、p c6、p c7、p c8、p c9、p c10分别为常数系数。
在一些实施例中，根据所述压缩机功率曲线、所述风机功率曲线，确定预设压缩机频率、预设风机频率，包括：
根据所述压缩机功率曲线、所述风机功率曲线，确定预设蒸发温度，其中，在所述预设蒸发温度下，所述压缩机功率与所述风机功率的和最小；
根据所述预设蒸发温度、所述回风温度、所述冷凝温度、所述压缩机参数、所述风机参数，分别确定所述预设压缩机频率、所述预设风机频率。
在一些实施例中，在获取空调机组的回风温度、冷凝温度、蒸发温度、压缩机参数、风机参数之后，所述方法还包括：
检测用户负荷是否发生变化；
在确定所述用户负荷发生变化的情况下，获取目标区域的环境温度；
根据所述环境温度、所述回风温度，调整所述风机频率；
根据调整后的风机频率，调整所述压缩机频率；
根据调整后的风机频率控制风机；根据调整后的压缩机频率控制压缩机。
在一些实施例中，所述检测用户负荷是否发生变化，包括：
比较在连续的预设时间段内回风温度与目标温度的数值；
在连续的预设时间段内，所述回风温度与所述目标温度的数值相等，确定所述用户负荷没有发生变化；
在连续的预设时间段内，所述回风温度与所述目标温度的数值不相等，确定所述用户负荷发生变化。
在一些实施例中，根据所述环境温度、所述回风温度，调整所述风机频率，包括：
比较所述回风温度与所述环境温度；
在所述回风温度大于所述环境温度的情况下，升高所述风机频率；
在所述回风温度小于等于所述环境温度的情况下，降低所述风机频率。
在一些实施例中，根据调整后的风机频率，调整所述压缩机频率，包括：
将所述调整后的风机频率分别与风机频率的上限值、风机频率的下限值进行比较；
在所述调整后的风机频率等于所述风机频率的上限值的情况下，升高所述压缩机频率；
在所述调整后的风机频率等于所述风机频率的下限值的情况下，降低所述压缩机频率。
本申请实施例还提供了一种空调机组控制装置，包括：
获取模块，用于获取空调机组的回风温度、冷凝温度、蒸发温度、压缩机参数、风机参数，其中，所述空调机组至少包括压缩机和风机；
第一确定模块，用于根据所述回风温度、所述冷凝温度、所述蒸发温度、所述压缩机参数、所述风机参数，确定压缩机功率曲线、风机功率曲线；
第二确定模块，用于根据所述压缩机功率曲线、所述风机功率曲线，确定预设压缩机频率、预设风机频率；
控制模块，用于根据所述预设压缩机频率控制所述压缩机；根据所述预设风机频率控制所述风机。
附图说明
构成本申请的一部分的附图用来提供对本公开的进一步理解，本公开的示意性实施例及其说明用于解释本公开，并不构成对本公开的不当限定。在附图中：
图1是根据本公开实施例的空调机组控制方法的处理流程示意图；
图2是根据本公开实施例的空调机组控制装置的组成结构示意图；
图3是在一个场景示例中应用本申请实施方式提供的空调机组控制方法和装置对某地铁中的水冷直接制冷式空调机组进行节能控制的流程示意图；
图4是在一个场景示例中应用本申请实施方式提供的空调机组控制方法和装置对某地铁中的水冷直接制冷式空调机组进行节能控制中获得的风机功率曲线、压缩机功率曲线、整机总功率曲线的示意图。
具体实施方式
为使本公开的目的、技术方案和优点更加清楚明白，下面结合实施方式和附图，对本 公开做进一步详细说明。在此，本公开的示意性实施方式及其说明用于解释本公开，但并不作为对本公开的限定。
考虑到相关方法中往往只是简单地根据所采集的环境温度对空调机组中的压缩机进行调控，没有深入分析其他多种运行参数相互之间的影响与作用，也没有对空调机组的其他设备，例如影响较大的风机进行针对性的精确调控。因此，基于相关方法的调控，往往无法使得空调机组整体达到最优的运行状态。综上可知，相关方法具体实施时，往往存在对空调机组控制的精确度不高、控制效果较差的技术问题。针对产生上述技术问题的根本原因，本申请考虑可以深入分析空调机组多种运行参数相互之间具体的相互影响作用，并结合多种运行参数，对空调机组中的风机、压缩机等设备分别进行针对性的精确调控，使得空调机组多个设备整体可以达到一种最优的运行状态。从而，可以解决相关方法中存在的对空调机组控制的精确度不高、控制效果较差的技术问题，达到综合多种运行参数的作用影响，精确地对空调机组进行节能调控的技术效果。
本公开实施例提供了一种空调机组控制方法和装置，以解决相关方法中存在的对空调机组控制的精确度不高、效果较差的技术问题，达到综合多种运行参数的作用影响，精准地对空调机组进行节能调控的技术效果。
根据本申请的一些实施方式，提供了一种空调机组控制方法。具体可以参阅图1所示的根据本公开实施例的空调机组控制方法的处理流程示意图。该方法具体可以包括以下步骤。
S101：获取空调机组的回风温度、冷凝温度、蒸发温度、压缩机参数、风机参数，其中，所述空调机组至少包括压缩机和风机。
在一些实施例中，上述空调机组具体可以是水冷直接制冷式空调机组。区别于冷水机组与组合柜组合的空调，上述水冷直接制冷式空调机组具有节能效果较好，便于安装等特点，其推广应用越来越受到人们的重视。上述空调机组所应用的目标区域具体可以是商场、酒店等场所，也可以地铁、火车等交通等交通工具。需要说明的是，上述所列举的空调机组、目标区域只是为了更好地说明本申请实施方式。具体实施时，也可以根据具体情况使用除上述所列举的空调机组以外的其他类型的空调机组，应用于除上述所列举的场所、区域以外的其他目标区域。对此，本申请不作限定。
在本实施方式中，上述空调机组至少包括压缩机(包括变频压缩机)和风机(包括变频送风机)。其中，上述压缩机具体可以用于向目标区域输出制冷量，以对目标区域进行降温。上述风机具体可以用于向目标区域送风，通过调整送风风量，影响目标区域的温度 和目标区域中的人体体验度。在本实施方式中，正是考虑到了空调机组中的压缩机、风机的工作运行都会对目标区域中的环境温度、人体体验产生较为重要的影响，因此才提出了同时针对上述两种设备，进行相关的调控，使得空调机组整体能处于一个最优的运行状态。其中，上述最优的运行状态具体可以理解为一种满足了用户负荷要求的同时，用户人体体验度较好，且耗能相对最少的运行状态。当然。需要说明的是，上述所列举的压缩机、风机只是为本申请实施方式所要关注的两个具体设备，上述空调机组还包括有其他相应的设备。具体的，上述空调机组还可以包括：水冷冷凝器、电子膨胀阀、蒸发器(例如直接蒸发式翅片蒸发器)，以及传感器系统。其中，上述传感器系统具体可以包括：高压压力传感器、低压压力传感器、环境温度传感器、回风温度传感器、送风温度传感器、冷却水进水温度传感器、冷却水出水温度传感器等等。
在一些实施例中，所述压缩机参数具体可以包括压缩机频率、压缩机功率等，所述风机参数具体可以包括风机频率、风机功率等。
在一些实施例中，上述获取目标区域的回风温度、冷凝温度、蒸发温度，具体实施时，可以包括以下内容：通过回风温度传感器所采集的数据确定所述回风温度；通过高压压力传感器所采集的数据确定所述冷凝温度；通过低压压力传感器所采集的数据确定所述蒸发温度。具体的，除了获取上述多种温度参数以外，还可以根据具体情况按照以下方式中的一种或多种，获取其他温度参数以进行更加精细的数据分析：通过送风温度传感器采集送风温度；通过环境温度传感器采集目标区域中的环境温度。
在一些实施例中，获取空调机组的压缩机参数、风机参数及其他参数，具体可以包括以下内容：开启空调机组，开启风机，随着风机频率上升，利用控制器采集并记录每一次风机频率调节后的风机频率与该风机频率对应的风机功率，作为空调机组运行过程中的风机频率、风机功率；控制制冷量、冷凝温度、回风温度不变，调整风机的送风风量，采集对应不同送风风量的蒸发温度，作为空调机组运行过程中的蒸发温度；通过控制器，测试多组不同压缩机频率、不同蒸发温度、不同冷凝温度下的制冷量，得到空调机组运行过程中的制冷量、压缩机频率、冷凝温度；通过控制器，测试多组不同压缩机频率、不同蒸发温度、不同冷凝温度下压缩机的输入功率，作为空调机组运行过程中的压缩机功率。
在一些实施例中，空调机组控制方法还包括：根据所述回风温度、所述冷凝温度、所述蒸发温度、所述压缩机参数、所述风机参数、压缩机功率曲线、风机功率曲线，确定预设蒸发温度，其中，在所述预设蒸发温度下，所述压缩机功率与所述风机功率的和最小。
在另一些实施例中，在确定预设蒸发温度前，空调机组控制方法还包括S102：根据所 述回风温度、所述冷凝温度、所述蒸发温度、所述压缩机参数、所述风机参数，确定压缩机功率曲线、风机功率曲线。
在一些实施例中，上述根据所述回风温度、所述冷凝温度、所述蒸发温度、所述压缩机参数、所述风机参数，确定压缩机功率曲线、风机功率曲线，具体实施时，可以包括以下内容：
S102-1：根据所述回风温度、所述冷凝温度、所述蒸发温度、所述压缩机参数、所述风机参数，分别建立风机风量模型、蒸发温度模型、制冷量模型、压缩机功率模型；
S102-2：根据所述回风温度、所述冷凝温度、所述风机风量模型、所述蒸发温度模型，确定所述风机功率曲线；
S102-3：根据所述回风温度、所述冷凝温度、所述制冷量模型、所述压缩机功率模型，确定所述压缩机功率曲线。
在一些实施例中，为了建立风机风量模型、蒸发温度模型、制冷量模型、压缩机功率模型，具体实施时可以依次从所述压缩机参数、所述风机参数中提取相关数据；再根据所提取的相关数据，依次建立风机风量模型、蒸发温度模型、制冷量模型、压缩机功率模型。
在一些实施例中，具体实施时，可以从所述风机参数中提取空调机组开启，风机运行后，随着风机频率上升，控制器所采集并记录的风机频率和该风机频率对应的风机功率进行数据分析，通过数据拟合得到风机风量模型，其中，上述风机风量模型具体可以用于表征风机风量随风机频率、风机功率的变化规律。再利用实际测得的风机频率、风机功率、风机风力的特性曲线进行校准，得到校准后的风机风量模型。
在一些实施例中，具体实施时，上述校准后的风机风量模型具体可以表示为以下形式：
q v＝f(F s,P s)
其中，q v具体可以表示为风机风量，F s具体可以表示为风机频率，P s具体可以表示为风机功率。
在一些实施例中，具体实施时，可以从所述压缩机参数、所述风机参数及其他参数中提取控制制冷量、冷凝温度、回风温度不变，调整风机的送风风量，所采集的对应不同送风风量的蒸发温度，并对上述数据进行数据分析，结合上述校准后的风机风量模型，通过数据拟合建立蒸发温度模型。其中，所述蒸发温度模型具体可以用于表征在冷凝温度、回风温度、制冷量一定的情况下，蒸发温度随送风风量的变化规律。
在一些实施例中，具体实施时，上述蒸发温度模型具体可以表示为以下形式：
T e＝f(T C,Q,T h,q v)
其中，T e具体可以表示为蒸发温度，T h具体可以表示为回风温度，T C具体可以表示为冷凝温度，Q具体可以表示为制冷量，q v具体可以表示为风机风量。其中，上述风机风量具体可以使用校准后的风机风量代入。
在一些实施例中，具体实施时，可以从所述压缩机参数、所述风机参数及其他参数中提取多组不同压缩机频率、不同蒸发温度、不同冷凝温度下的采集的制冷量，并对上述数据进行数据分析，结合蒸发温度模型，通过数据拟合建立制冷量模型。其中，所述制冷量模型具体可以用于表征制冷量随蒸发温度、冷凝温度、压缩机频率变化的规律。
在一些实施例中，具体实施时，上述制冷量模型具体可以表示为以下形式：
Q＝f(T C,T e,F y)
其中，Q具体可以表示为制冷量，T C具体可以表示为冷凝温度，F y具体可以表示为压缩机频率，T e具体可以表示为蒸发温度。其中，上述蒸发温度具体可以使用蒸发温度模型代入。
在一些实施例中，通过数据拟合以及算式整理，具体的，可以按照以下公式建立所述制冷量模型：
Figure PCTCN2018121247-appb-000003
其中，Q具体可以表示为制冷量，F y具体可以表示为压缩机频率，T e具体可以表示为蒸发温度，T C具体可以表示为冷凝温度，φ c1、φ c2、φ c3、φ c4、φ c5、φ c6、φ c7、φ c8、φ c9、φ c10分别可以表示为常数系数。其中，上述常数系数φ c1、φ c2、φ c3、φ c4、φ c5、φ c6、φ c7、φ c8、φ c9、φ c10具体可以根据所述压缩机参数、所述风机参数及其他参数，通过数据拟合确定。
在一些实施例中，具体实施时，还可以根据制冷量模型反推出压缩机频率模型，其中，上述压缩机频率模型具体可以用于表征压缩机频率随蒸发温度的变化规律。具体的，上述压缩机模型可以按照以下形式表示：
F y＝f(T C,T e,Q)
其中，Q具体可以表示为制冷量，T C具体可以表示为冷凝温度，F y具体可以表示为压缩机频率，T e具体可以表示为蒸发温度。其中，上述蒸发温度具体可以使用蒸发温度模型代入。
在一些实施例中，具体实施时，可以从所述压缩机参数中提取多组不同压缩机频率、不同蒸发温度、不同冷凝温度下压缩机的输入功率，对上述数据进行数据分析，结合其他运行参数模型，通过数据拟合，建立压缩机功率模型。其中，所述压缩机功率模型具体可 以用于表征压缩机功率(即压缩机输入功率)随冷凝温度、蒸发温度、压缩机频率的变化规律。
在一些实施例中，上述压缩机功率模型具体可以表示为以下形式：
P y＝f(T C,T e,F y)
其中，P y具体可以表示为压缩机功率，T C具体可以表示为冷凝温度，F y具体可以表示为压缩机频率，T e具体可以表示为蒸发温度。
在一些实施例中，通过数据拟合以及算式整理，具体的，可以按照以下公式建立所述压缩机功率模型：
Figure PCTCN2018121247-appb-000004
其中，P y具体可以表示为压缩机功率，F y具体可以表示为压缩机频率，T e具体可以表示为蒸发温度，T C具体可以表示为冷凝温度，p c1、p c2、p c3、p c4、p c5、p c6、p c7、p c8、p c9、p c10分别为常数系数。其中，上述常数系数p c1、p c2、p c3、p c4、p c5、p c6、p c7、p c8、p c9、p c10具体可以根据所述压缩机参数、所述风机参数及其他参数，通过数据拟合确定。
在一些实施例中，上述根据所述回风温度、所述冷凝温度、所述风机风量模型、所述蒸发温度模型，确定所述风机功率曲线，具体实施时，可以包括以下内容：结合上述具体的风机风量模型、具体的蒸发温度模型，代入相应的运行参数，并作数学整理，得到所述风机功率曲线。其中，上述风机功率曲线具体可以用于表征用户负荷稳定的情况下，风机功率随蒸发温度的变化规律。
在本实施方式中，需要说明的是上述用户负荷具体可以理解为是用户要求的目标制冷量。如果用户要求的目标制冷量不变，则可以认为用户负荷稳定，没有发生变化。如果用户要求的目标制冷量发生改变，例如，用户提高了所设定的制冷量，则可以认为用户负荷不稳定，发生变化。
在一些实施例中，上述风机功率曲线，具体可以按照以下形式表示：P s＝f(T e)，其中，P s具体可以表示风机功率，T e具体可以表示为蒸发温度。
在一些实施例中，上述根据所述回风温度、所述冷凝温度、所述制冷量模型、所述压缩机功率模型，确定所述压缩机功率曲线，具体实施时，可以包括以下内容：结合上述具体的压缩机功率模型、具体的制冷量模型，代入相应的运行参数，并作数学整理，得到所述压缩机功率曲线。其中，上述压缩机功率曲线具体可以用于表征用户负荷稳定的情况下，压缩机功率随蒸发温度的变化规律。
在一些实施例中，上述压缩机功率曲线，具体可以按照以下形式表示：P y＝f(T e)，其中，P y具体可以表示压缩机机功率，T e具体可以表示为蒸发温度。
S103：根据所述压缩机功率曲线、所述风机功率曲线，确定预设压缩机频率、预设风机频率。
在一些实施例中，预设压缩机频率、预设风机频率与所述预设蒸发温度对应。
在一些实施例中，上述根据所述压缩机功率曲线、所述风机功率曲线，确定预设压缩机频率、预设风机频率，具体实施时，可以包括以下内容：
S103-1：根据所述压缩机功率曲线、所述风机功率曲线，确定预设蒸发温度，其中，在所述预设蒸发温度下，所述压缩机功率与所述风机功率的和最小；
S103-2：根据所述预设蒸发温度、所述回风温度、所述冷凝温度、所述压缩机参数、所述风机参数，分别确定所述预设压缩机频率、所述预设风机频率。
在一些实施例中，具体实施时，可以将上述风机功率曲线、上述压缩机功率曲线至于同一曲线图；在该曲线图中确定出风机功率与压缩机功率之和(即空调机组的整机总功率)的最低点所对应的温度作为所述预设蒸发温度。
在本实施方式中，上述预设蒸发温度具体可以理解为是最优蒸发温度。在该最优蒸发温度下，能够满足用户负荷，且压缩机功率与风机功率的和(即相当于空调机组的整机功率)达到最小值。可以认为，在该预设蒸发温度下，在满足用户负荷的前提，且用户负荷稳定的前提下，空调机组整体处于最优运行状态，具有较好的节能效果。
在一些实施例中，具体实施时，可以将上述预设蒸发温度代入压缩机频率模型或者制冷量模型，结合具体的预设蒸发温度、所述回风温度、所述冷凝温度、所述压缩机参数、所述风机参数，得到所述预设压缩机频率，即最优压缩机频率。可以将预设蒸发温度代入风机风量模型、蒸发温度模型，结合具体的预设蒸发温度、所述回风温度、所述冷凝温度、所述压缩机参数、所述风机参数，得到所述预设风机频率，即最优风机频率。
S104：根据所述预设压缩机频率控制所述压缩机；根据所述预设风机频率控制所述风机。
在本实施方式中，具体实施时，可以通过空调机组的控制器将预设压缩机频率输送至压缩机，以便压缩机按照预设压缩频率控制压缩机的运行；通过空调机组的控制器将预设风机频率输送至风机，以便风机按照预设风机频率控制风机的运行；从而可以使得空调机组整体处于一个最优或者相对最优的运行状态，即在用户负荷稳定的情况下，在满足用户负荷、给用户提高较好的人体体验的同时，减少能源的浪费，达到较好的节能减排效果。
在本申请实施例中，相较于相关方法，通过获取空调机组的多种运行参数，建立压缩机功率曲线、风机功率曲线，并综合利用压缩机功率曲线、风机功率曲线确定出预设压缩机频率、预设风机频率，以便可以同时针对压缩机、风机进行精确控制，使得空调机组整体达到较好的运行状态，从而解决了相关方法中存在的对空调机组控制的精确度不高、控制效果较差的技术问题，达到综合多种运行参数相互的作用影响，精确地对空调机组进行节能调控的技术效果。
在一些实施例中，需要说明的是，上述所提供的空调机组控制方法主要应用于用户负荷稳定，即用户负荷没有发生变化的情况。在用户负荷发生变化时，例如设定了新的用户负荷，则往往需要另外对压缩机、风机进行调控，以优先快速、准确达到用户所要求的新的用户负荷；在达到用户负荷以后，再按照用户负荷稳定的情况，利用上述控制方法控制压缩机、风机分别按照预设压缩机频率、预设风机频率运行，以使得空调机组处于最优运行状态。
在本实施方式中，需要说明的是，在用户负荷发生变化的情况下，将空调机组调控至满足新的用户负荷的优先级高于在用户负荷没有发生变化的情况下，将空调机组调控至最优运行状态的优先级。即可以理解为，在用户负荷没有发生变化的情况下，空调机组控的制器通过分别调控风机频率、压缩机频率使得空调机组整体处于最优运行状态。在用户负荷发生变化的情况下，空调机组的控制器优先通过调控风机、压缩机使得空调机组达到新的用户负荷；在达到新的用户负荷后，即用户负荷稳定后，再通过分别调控风机频率、压缩机频率使得空调机组整体处于最优运行状态。
在一些实施例中，具体实施时，为了将本申请实施例提供的空调机组控制方法推广应用到用户负荷发生变化的情况，例如，在获取空调机组的回风温度、冷凝温度、蒸发温度、压缩机参数、风机参数之后，所述方法具体还可以包括以下内容：
S1：检测用户负荷是否发生变化；
S2：在确定所述用户负荷发生变化的情况下，获取目标区域的环境温度；
S3：根据所述环境温度、所述回风温度，调整所述风机频率；
S4：根据调整后的风机频率，调整所述压缩机频率；
S5：根据调整后的风机频率控制风机；根据调整后的压缩机频率控制压缩机。
在一些实施例中，环境温度等于回风温度。在步骤S3中，根据回风温度和目标温度来控制风机频率。
在一些实施例中，上述检测用户负荷是否发生变化，具体实施时，可以包括以下内容：
S1：比较在连续的预设时间段内回风温度与目标温度的数值；
S2：在连续的预设时间段内，所述回风温度与所述目标温度的数值相等，确定所述用户负荷没有发生变化；
S3：在连续的预设时间段内，所述回风温度与所述目标温度的数值不相等，确定所述用户负荷发生变化。
在本实施方式中，上述目标温度具体可以理解为用户根据自己要求设定的具体温度。
在一些实施例中，上述预设时间段的时长具体可以为5分钟至20分钟。当然，需要说明的是，上述所列举的预设时间段的时长只是为了更好地说明本申请实施方式。具体实施时，也可以根据具体情况和精度要求，设计其他的时长作为上述预设时间段的时长。对此，本申请不作限定。
在本实施方式中，上述在连续的预设时间段内，所述回风温度与所述目标温度的数值相等，具体可以理解为在一个预设时间段的时长中，所采集的回风温度与目标温度的数值连续相同。相对的，在连续的预设时间段内，所述回风温度与所述目标温度的数值不相等，具体可以理解为在一个预设时间段的时长中，所采集的回风温度与目标温度的数值出现了不同，例如，某个时间点回风温度大于目标温度，或者某个时间段回风温度小于目标温度。
在一些实施例中，上述根据所述环境温度、所述回风温度，调整所述风机频率，具体实施时，可以包括以下内容：
S1：比较所述回风温度与所述环境温度；
S2：在所述回风温度大于所述环境温度的情况下，升高所述风机频率；
S3：在所述回风温度小于等于所述环境温度的情况下，降低所述风机频率。
在本实施方式中，上述环境温度具体可以是指目标区域的实际温度。在用户负荷稳定，没有发生变化的情况下，通常回风温度与环境温度数值相等；在用户负荷不稳定，发生变化的情况下，回风温度与环境温度数值上可能会存在差异。
在本实施方式中，具体实施时，可以在所述回风温度大于所述环境温度的情况下，通过升高所述风机频率对风机进行升频控制；在所述回风温度小于等于所述环境温度的情况下，通过降低所述风机频率对风机进行降频控制，从而可以根据新的用户负荷有效地对风机运行进行相应调控。
在一些实施例中，上述根据调整后的风机频率，调整所述压缩机频率，具体实施时，可以包括以下内容：
S1：将所述调整后的风机频率分别与风机频率的上限值、风机频率的下限值进行比较；
S2：在所述调整后的风机频率等于所述风机频率的上限值的情况下，升高所述压缩机频率；
S3：在所述调整后的风机频率等于所述风机频率的下限值的情况下，降低所述压缩机频率。
在本实施方式中，上述风机频率的上限值具体可以理解为风机运行的最高频率；上述风机频率的下限值具体可以理解为风机运行的最低频率。
在本实施方式中，具体实施时，可以在所述调整后的风机频率等于所述风机频率的上限值的情况下，通过升高所述压缩机频率，对压缩机进行升频控制；在所述调整后的风机频率等于所述风机频率的下限值的情况下，通过降低所述压缩机频率，对压缩机进行降频控制，从而可以根据新的用户负荷有效地对压缩机运行进行相应的调控。
在一些实施例中，根据回风温度和目标温度来控制风机频率。即，比较所述回风温度与所述目标温度；在所述回风温度大于所述目标温度、且所述风机频率低于风机频率的上限值的情况下，升高所述风机频率；在所述回风温度小于所述目标温度、且所述风机频率高于风机频率的下限值的情况下，降低所述风机频率。
在所述回风温度大于所述目标温度、且所述风机频率等于所述风机频率的上限值的情况下，升高所述压缩机频率。在所述回风温度小于所述目标温度、且所述风机频率等于所述风机频率的下限值的情况下，降低所述压缩机频率。
在本实施方式中，通过结合多种运行参数，分别对风机、压缩机进行针对性的升频或降频调控，从而使得空调机组整体能够快速、精确地达到用户负荷。在达到用户负荷后，如果用户不再改变所设定的用户负荷，可以认为用户负荷稳定，在这种情况下，再根据多种运行参数，分别确定风机功率曲线、压缩机功率曲线，综合上述两种功率曲线，确定预设风机频率、预设压缩机频率，以控制空调机组整体处于最优运行状态，达到在满足用户负荷的前提下，改善用户体验，减少能耗，提高节能效果的目的。
从以上的描述中，可以看出，相较于相关方法，本申请实施方式提供的空调机组控制方法，通过获取空调机组的多种运行参数，建立压缩机功率曲线、风机功率曲线，并综合利用压缩机功率曲线、风机功率曲线确定出预设压缩机频率、预设风机频率，以便可以同时针对压缩机、风机进行精确控制，使得空调机组整体达到较好的运行状态，从而解决了相关方法中存在的对空调机组控制的精确度不高、控制效果较差的技术问题，达到综合多种运行参数相互的作用影响，精确地对空调机组进行节能调控的技术效果；还通过在用户 负荷发生变化的情况下，根据相关运行参数，对压缩机、风机分别进行针对性的频率调整，达到有效地调整回风温度，快速满足用户负荷要求，提高用户体验度的效果。
基于相同的发明构思，本申请实施方式还提供了一种空调机组控制装置，具体可以参阅图2所示的根据本公开实施例的空调机组控制装置的组成结构示意图。该装置主要包括以下结构：获取模块201、第一确定模块202、第二确定模块203和控制模块204。
获取模块201，具体可以用于获取空调机组的回风温度、冷凝温度、蒸发温度、压缩机参数、风机参数，其中，所述空调机组至少包括压缩机和风机。
在一些实施例中，第一确定模块202用于根据所述回风温度、所述冷凝温度、所述蒸发温度、所述压缩机参数、所述风机参数，压缩机功率曲线、风机功率曲线，确定预设蒸发温度，其中，在所述预设蒸发温度下，所述压缩机功率与所述风机功率的和最小。
在另一些实施例中，第一确定模块202，具体可以用于根据所述回风温度、所述冷凝温度、所述蒸发温度、所述压缩机参数、所述风机参数，确定压缩机功率曲线、风机功率曲线。
第二确定模块203，具体可以用于根据所述压缩机功率曲线、所述风机功率曲线，确定预设压缩机频率、预设风机频率。
控制模块204，具体可以用于根据所述预设压缩机频率控制所述压缩机；根据所述预设风机频率控制所述风机。
在一些实施例中，为了能够根据所述回风温度、所述冷凝温度、所述蒸发温度、所述压缩机参数、所述风机参数，确定压缩机功率曲线、风机功率曲线，所述第一确定模块202具体可以包括以下结构单元：
建模单元，具体可以用于根据所述回风温度、所述冷凝温度、所述蒸发温度、所述压缩机参数、所述风机参数，分别建立风机风量模型、蒸发温度模型、制冷量模型、压缩机功率模型；
第一确定单元，具体可以用于根据所述回风温度、所述冷凝温度、所述风机风量模型、所述蒸发温度模型，确定所述风机功率曲线；
第二确定单元，具体可以用于根据所述回风温度、所述冷凝温度、所述制冷量模型、所述压缩机功率模型，确定所述压缩机功率曲线。
在一些实施例中，所述压缩机参数具体可以包括压缩机频率、压缩机功率等，所述风机参数具体可以包括风机频率、风机功率等。
在一些实施例中，上述第二确定单元具体实施时，可以按照以下公式建立所述制冷量模型：
Figure PCTCN2018121247-appb-000005
其中，Q具体可以表示为制冷量，F y具体可以表示为压缩机频率，T e具体可以表示为蒸发温度，T C具体可以表示为冷凝温度，φ c1、φ c2、φ c3、φ c4、φ c5、φ c6、φ c7、φ c8、φ c9、φ c10分别可以表示为常数系数。其中，上述常数系数具体可以根据所述压缩机参数、所述风机参数及其他参数，通过数据拟合确定。
在一些实施例中，上述第二确定单元具体实施时，可以按照以下公式建立所述压缩机功率模型：
Figure PCTCN2018121247-appb-000006
其中，P y具体可以表示为压缩机功率，F y具体可以表示为压缩机频率，T e具体可以表示为蒸发温度，T C具体可以表示为冷凝温度，p c1、p c2、p c3、p c4、p c5、p c6、p c7、p c8、p c9、p c10分别可以表示为常数系数。其中，上述常数系数具体可以根据所述压缩机参数、所述风机参数及其他参数，通过数据拟合确定。
在一些实施例中，为了能够根据所述压缩机功率曲线、所述风机功率曲线，确定预设压缩机频率、预设风机频率，所述第二确定模块203具体可以包括以下结构单元：
第三确定单元，具体可以用于根据所述压缩机功率曲线、所述风机功率曲线，确定预设蒸发温度，其中，在所述预设蒸发温度下，所述压缩机功率与所述风机功率的和最小；
第四确定单元，具体可以用于根据所述预设蒸发温度、所述回风温度、所述冷凝温度、所述压缩机参数、所述风机参数，分别确定所述预设压缩机频率、所述预设风机频率。
在一些实施例中，为了能够同时处理用户负荷发生变化和用户负荷没发生变化这两种情况下的空调机组的调控，所述空调机组控制装置具体还可以包括以下结构单元：
检测单元，具体可以用于检测用户负荷是否发生变化；
获取单元，具体可以用于在确定所述用户负荷发生变化的情况下，获取目标区域的环境温度；
第一调整单元，具体可以用于根据所述环境温度、所述回风温度，调整所述风机频率；
第二调整单元，具体可以用于根据调整后的风机频率，调整所述压缩机频率；
控制单元，具体可以用于根据调整后的风机频率控制风机；根据调整后的压缩机频率控制压缩机。
在一些实施例中，上述检测单元具体实施时，可以按照以下程序执行：比较在连续的预设时间段内回风温度与目标温度的数值；在连续的预设时间段内，所述回风温度与所述目标温度的数值相等，确定所述用户负荷没有发生变化；在连续的预设时间段内，所述回风温度与所述目标温度的数值不相等，确定所述用户负荷发生变化。其中，所述预设时间段的时长具体可以是5分钟至20分钟。当然，需要说明的是，上述所列举的预设时间段的时长只是为了更好地说明本申请实施方式。具体实施时，可以根据具体情况和精度要求，调整上述预设时间段的具体时长。对此，本申请不作限定。
在一些实施例中，上述第一调整单元具体实施时，可以按照以下程序执行：比较所述回风温度与所述环境温度；在所述回风温度大于所述环境温度的情况下，升高所述风机频率；在所述回风温度小于等于所述环境温度的情况下，降低所述风机频率。
在一些实施例中，上述第二调整单元具体实施时，可以按照以下程序执行：将所述调整后的风机频率分别与风机频率的上限值、风机频率的下限值进行比较；在所述调整后的风机频率等于所述风机频率的上限值的情况下，升高所述压缩机频率；在所述调整后的风机频率等于所述风机频率的下限值的情况下，降低所述压缩机频率。
从以上的描述中，可以看出，相较于相关装置，本申请实施方式提供的空调机组控制装置，通过获取模块获取空调机组的多种运行参数，通过第一确定模块建立压缩机功率曲线、风机功率曲线，并通过第二确定模块综合利用压缩机功率曲线、风机功率曲线确定出预设压缩机频率、预设风机频率，以便控制模块可以同时针对压缩机、风机进行精确控制，使得空调机组整体达到较好的运行状态，从而解决了相关方法中存在的对空调机组控制的精确度不高、控制效果较差的技术问题，达到综合多种运行参数相互的作用影响，精确地对空调机组进行节能调控的技术效果；还通过在用户负荷发生变化的情况下，根据相关运行参数，对压缩机、风机分别进行针对性的频率调整，达到有效地调整回风温度，快速满足用户负荷要求，提高用户体验度的效果。
在一个具体的场景示例中，应用本申请实施例提供的空调机组控制方法和装置对某地铁内设置的水冷直接制冷式空调机组进行自动寻优节能控制。具体实施过程，可以结合图3所示的在一个场景示例中应用本申请实施方式提供的空调机组控制方法和装置对某地铁中的水冷直接制冷式空调机组进行节能控制的流程示意图，参阅以下内容执行。
一、在用户负荷稳定(即用户负荷没有发生变化)时，调节压缩机和送风风机(即风机)频率，达到节能效果。具体实施时，可以包括以下内容。
S1：计算风机频率对应的风机风量(即建立风机风量模型)。
在本实施方式中，具体实施时，空调机组每次开机后，送风(变频)风机开启，风机频率逐渐上升，通过控制器记录每一次调节的风机频率和该频率下对应的风机功率。再通过和控制器程序中嵌入实际测试的风机频率、风量和功率特性曲线进行校准对比，控制器可以自动计算出不同风机频率下，对应风机风量，整理算式即可以得到如下关系式(即风机风量模型)：q v＝f(F s,P s)。——(1.1)其中，q v具体可以表示为风机风量，F s具体可以表示为风机频率，P s具体可以表示为风机功率。
S2：计算风机风量对应的蒸发温度(即建立蒸发温度模型)。
在本实施方式中，具体实施时，可以通过实验测试，试验多组在相同压缩机输出制冷量、相同的冷凝温度以及相同的回风温度情况下，调整不同的送风风量(即风机风量)，测试对应的蒸发温度。通过对所测试得到的多组数据进行分析，拟合的出蒸发温度与送风风量的关系式(即蒸发温度模型)。具体可以表示为以下形式：T e＝f(T C,Q,T h,q v)。——(2.1)其中，Q具体可以表示为制冷量，T C具体可以表示为冷凝温度，F y具体可以表示为压缩机频率，T e具体可以表示为蒸发温度。并将上述拟合出的关系式，写入控制器程序中以便后续使用。
S3：计算压缩机输出制冷量(即建立制冷量模型)。
在本实施方式中，具体实施时，可以通过实验测试，测试多组不同压缩机频率、蒸发温度、冷凝温度下的压缩机制冷量。再根据过测试得到多组数据，拟合出压缩机输出制冷量的关系式(即制冷量模型)。具体可以表示为：Q＝f(T C,T e,F y)。——(3.1)
具体的，上述拟合关系式可以进一步整理为以下形式：
Figure PCTCN2018121247-appb-000007
其中，Q具体可以表示为制冷量，F y具体可以表示为压缩机频率，T C具体可以表示为蒸发温度，T c具体可以表示为冷凝温度，φ c1、φ c2、φ c3、φ c4、φ c5、φ c6、φ c7、φ c8、φ c9、φ c10分别可以表示为常数系数。
在压缩机输出的制冷量一定情况下。通过式3.1进一步可以反推出，压缩机频率与蒸发温度的关系式(即压缩机频率模型)即：F y＝f(T C,T e,Q)。——(3.2)其中，Q具体可以表示为制冷量，T C具体可以表示为冷凝温度，F y具体可以表示为压缩机频率，T e具体可 以表示为蒸发温度。
S4：计算压缩机输入功率(即建立压缩机功率模型)。
在本实施方式中，具体实施时，可以通过实验测试，测试多组不同压缩机频率、蒸发温度、冷凝温度下的压缩机输入功率。根据测试得到的多组数据，拟合出压缩机输入功率的关系式(即压缩机功率模型)，即可以表示为：P y＝f(T C,T e,F y)。——(4.1)其中，P y具体可以表示为压缩机功率，T C具体可以表示为冷凝温度，F y具体可以表示为压缩机频率，T e具体可以表示为蒸发温度。
具体的，上述拟合关系式可以进一步整理为以下形式：
Figure PCTCN2018121247-appb-000008
其中，P y具体可以表示为压缩机功率，F y具体可以表示为压缩机频率，T e具体可以表示为蒸发温度，T C具体可以表示为冷凝温度，p c1、p c2、p c3、p c4、p c5、p c6、p c7、p c8、p c9、p c10分别为常数系数。
S5：用户负荷一定(即用户负荷没有发生变化)时计算最优压缩机运行频率(即预设压缩机频率)。
在本实施方式中，当运行稳定后可以根据当前检测到的蒸发温度、冷凝温度和压缩机输出频率(即压缩机功率)，控制器可以自动计算出压缩机输出制冷量，此制冷量即为用户负荷。
在控制室内温度不变的情况下，即回风温度不变情况下，用户需求负荷一定时，空调机组运行的冷凝温度几乎不变。进而控制器可以根据上述公式1.1和2.1计算出风机功率和蒸发温度的关系式，并形成对应的数据表1，进而绘制成如系统虚线所示的蒸发温度/风机功率曲线(即风机功率曲线)。再根据上述公式3.2和公式4.1控制器计算在相同压缩机输出制冷量下，压缩机功率和蒸发温度的关系式，并形成对应的数据表2，进而绘制成如系统虚线所示的蒸发温度/压缩机功率曲线(即压缩机功率曲线)。具体可以参阅图4所示的在一个场景示例中应用本申请实施方式提供的空调机组控制方法和装置对某地铁中的水冷直接制冷式空调机组进行节能控制中获得的风机功率曲线、压缩机功率曲线、整机总功率曲线的示意图。
根据数据表1和2，在保证室内环境温度相同，压缩机输出制冷量相同，和冷凝温度 相同情况下，列出数据表3，即整机总功率和蒸发温度的数据表。控制器从中找出最小的整机总功率和，即P s+P y所对应的蒸发温度T e。该蒸发温度为最优蒸发温度(即预设蒸发温度)。
再根据公式3.2，控制器计算出最优蒸发温度下对应压缩机频率(即预设压缩机频率)；并将计算出的压缩机频率，输出给压缩机，以控制压缩机。
表1
Figure PCTCN2018121247-appb-000009
表2
Figure PCTCN2018121247-appb-000010
表3
Figure PCTCN2018121247-appb-000011
Figure PCTCN2018121247-appb-000012
S6：用户负荷一定时计算最优风机运行频率(即预设风机频率)。
在本实施方式中，具体实施时，可以根据所找出的最优蒸发温度，根据公式1.1和2.1，控制器计算出最优风机频率(即预设风机频率)，并将该频率输入给风机，以控制风机。
在本实施方式中，需要说明的是通过以上控制，可以实现了保证用户负荷需求的情况下，找到最节能的风机控制频率点和压缩机控制频率点，从而实现了整机的运行节能。
二、用户负荷变化时，调节压缩机和送风风机频率，使得快速准确地达到用户需求。
在本实施方式中，具体实施时，可以按照以下方式进行用户负荷是否变化的检测：
当连续A时间(即预设时间段)，检测到的回风温度不等于目标设定温度(即目标温度)，则可以判断该用户负荷发生变化了。以下控制基于负荷变化时的控制。其中，A的时间范围一般可以设置为5～20分钟。
在本实施方式中，需要说明的是，用户负荷变化时进行压缩机频率调节优先级大于用户负荷稳定时压缩机频率调节。同样，用户负荷变化时进行风机频率调节优先级大于用户负荷稳定时风机频率调节。
在确定用户发生变化后，具体可以按照以下步骤执行。
S7：用户负荷变化后，计算风机频率。
1)对风机进行升频控制，条件：回风温度＞目标室内温度(即环境温度)，对风机进行加频控制。
2)对风机进行降频控制，条件：回风温度≤目标室内温度，对风机进行降频控制。
S8：用户负荷变化后，计算压缩机频率。
1)当检测得到的风机频率为风机运行最高频率(即风机频率的上限值)时，对压缩机进行升频控制。
2)当检测得到的风机频率为风机运行最低频率(风机频率的下限值)时，对压缩机进行降频控制。
在本实施方式中，需要说明的是，通过以上控制，可以实现在用户负荷发生变化时，能够精准的控制回风温度，以满足用户负荷需求，达到用户负荷。当用户负荷稳定后，则可以进入负荷稳定的控制，空调机组会自动的寻找到最优的压缩机控制频率和风机控制频率，从而实现的整体运行的节能。
通过上述场景示例，验证了应用本申请实施例提供的空调机组控制方法和装置通过获 取空调机组的多种运行参数，建立压缩机功率曲线、风机功率曲线，并综合利用压缩机功率曲线、风机功率曲线确定出预设压缩机频率、预设风机频率，以便可以同时针对压缩机、风机进行精确控制，使得空调机组整体达到较好的运行状态，确实解决了相关方法中存在的对空调机组控制的精确度不高、控制效果较差的技术问题，达到综合多种运行参数相互的作用影响，精确地对空调机组进行节能调控的技术效果。
在另外一些实施例中，还提供了一种软件，该软件用于执行上述实施例及优选实施方式中描述的技术方案。
在另外一些实施例中，还提供了一种存储介质，该存储介质中存储有上述软件，该存储介质包括但不限于：光盘、软盘、硬盘、可擦写存储器等。
显然，本领域的技术人员应该明白，上述的本公开实施例的各模块或各步骤可以用通用的计算装置来实现，它们可以集中在单个的计算装置上，或者分布在多个计算装置所组成的网络上，在一些实施例中，它们可以用计算装置可执行的程序代码来实现，从而，可以将它们存储在存储装置中由计算装置来执行，并且在某些情况下，可以以不同于此处的顺序执行所示出或描述的步骤，或者将它们分别制作成各个集成电路模块，或者将它们中的多个模块或步骤制作成单个集成电路模块来实现。这样，本公开实施例不限制于任何特定的硬件和软件结合。
以上所述仅为本公开的优选实施例而已，并不用于限制本公开，对于本领域的技术人员来说，本公开实施例可以有各种更改和变化。凡在本公开的精神和原则之内，所作的任何修改、等同替换、改进等，均应包含在本公开的保护范围之内。

Claims (15)

  1. 一种空调机组控制方法，包括：
    获取空调机组的回风温度、冷凝温度、蒸发温度、压缩机参数、风机参数，其中，所述空调机组至少包括压缩机和风机；
    根据所述回风温度、所述冷凝温度、所述蒸发温度、所述压缩机参数、所述风机参数、压缩机功率曲线、风机功率曲线，确定预设蒸发温度，其中，在所述预设蒸发温度下，所述压缩机功率与所述风机功率的和最小；
    根据所述压缩机功率曲线、所述风机功率曲线，确定与所述预设蒸发温度对应的预设压缩机频率、预设风机频率；
    根据所述预设压缩机频率控制所述压缩机，根据所述预设风机频率控制所述风机。
  2. 根据权利要求1所述的空调机组控制方法，还包括：
    根据所述回风温度、所述冷凝温度、所述蒸发温度、所述压缩机参数、所述风机参数，确定所述压缩机功率曲线、所述风机功率曲线。
  3. 根据权利要求1所述的空调机组控制方法，其中，根据所述回风温度、所述冷凝温度、所述蒸发温度、所述压缩机参数、所述风机参数，确定压缩机功率曲线、风机功率曲线，包括：
    根据所述回风温度、所述冷凝温度、所述蒸发温度、所述压缩机参数、所述风机参数，分别建立风机风量模型、蒸发温度模型、制冷量模型、压缩机功率模型；
    根据所述回风温度、所述冷凝温度、所述风机风量模型、所述蒸发温度模型，确定所述风机功率曲线；
    根据所述回风温度、所述冷凝温度、所述制冷量模型、所述压缩机功率模型，确定所述压缩机功率曲线。
  4. 根据权利要求1所述的空调机组控制方法，其中，所述压缩机参数包括压缩机频率、压缩机功率，所述风机参数包括风机频率、风机功率。
  5. 根据权利要求3所述的空调机组控制方法，其中，按照以下公式建立所述制冷量模型：
    Figure PCTCN2018121247-appb-100001
    其中，Q为制冷量，F y为压缩机频率，T e为蒸发温度，T C为冷凝温度，φ c1、φ c2、φ c3、φ c4、φ c5、φ c6、φ c7、φ c8、φ c9、φ c10分别为常数系数。
  6. 根据权利要求3所述的空调机组控制方法，其中，按照以下公式建立所述压缩机功率模型：
    Figure PCTCN2018121247-appb-100002
    其中，P y为压缩机功率，F y为压缩机频率，T e为蒸发温度，T C为冷凝温度，p c1、p c2、p c3、p c4、p c5、p c6、p c7、p c8、p c9、p c10分别为常数系数。
  7. 根据权利要求1所述的空调机组控制方法，其中，根据所述压缩机功率曲线、所述风机功率曲线，确定与所述预设蒸发温度对应的预设压缩机频率、预设风机频率，包括：
    根据所述预设蒸发温度、所述回风温度、所述冷凝温度、所述压缩机参数、所述风机参数，分别确定所述预设压缩机频率、所述预设风机频率。
  8. 根据权利要求1所述的空调机组控制方法，还包括：
    检测用户负荷是否发生变化；
    在确定所述用户负荷发生变化的情况下，根据目标温度、所述回风温度，控制所述风机频率。
  9. 根据权利要求8所述的空调机组控制方法，其中，所述检测用户负荷是否发生变化，包括：
    比较在连续的预设时间段内回风温度与目标温度的数值；
    在连续的预设时间段内，所述回风温度与所述目标温度的数值相等，确定所述用户负荷没有发生变化；
    在连续的预设时间段内，所述回风温度与所述目标温度的数值不相等，确定所述用户负荷发生变化。
  10. 根据权利要求8所述的空调机组控制方法，其中，根据所述目标温度、所述回风温度，控制所述风机频率，包括：
    比较所述回风温度与所述目标温度；
    在所述回风温度大于所述目标温度、且所述风机频率低于风机频率的上限值的情况下，升高所述风机频率；
    在所述回风温度小于所述目标温度、且所述风机频率高于风机频率的下限值的情况下，降低所述风机频率。
  11. 根据权利要求10所述的空调机组控制方法，其中：
    在所述回风温度大于所述目标温度、且所述风机频率等于所述风机频率的上限值的情况下，升高所述压缩机频率；
    在所述回风温度小于所述目标温度、且所述风机频率等于所述风机频率的下限值的情况下，降低所述压缩机频率。
  12. 一种空调机组控制装置，包括：
    获取模块，用于获取空调机组的回风温度、冷凝温度、蒸发温度、压缩机参数、风机参数，其中，所述空调机组至少包括压缩机和风机；
    第一确定模块，用于根据所述回风温度、所述冷凝温度、所述蒸发温度、所述压缩机参数、所述风机参数，压缩机功率曲线、风机功率曲线，确定预设蒸发温度，其中，在所述预设蒸发温度下，所述压缩机功率与所述风机功率的和最小；
    第二确定模块，用于根据所述压缩机功率曲线、所述风机功率曲线，确定预设压缩机频率、预设风机频率；
    控制模块，用于根据所述预设压缩机频率控制所述压缩机，根据所述预设风机频率控制所述风机。
  13. 一种空调机组控制装置，包括：
    存储器；和
    耦接至所述存储器的处理器，所述处理器被配置为基于存储在所述存储器中的指令，执行如权利要求1至11中任一项所述的空调机组控制方法。
  14. 一种计算机可读存储介质，其上存储有计算机程序，该程序被处理器执行时实现如权利要求1至11中任一项所述的空调机组控制方法。
  15. 一种空调机组，包括：
    压缩机和风机；
    温度传感器，被配置为检测所述空调机组的回风温度；
    第一压力传感器，被配置为检测第一压力，所述第一压力用于确定所述空调机组的冷凝温度；
    第二压力传感器，被配置为检测第二压力，所述第二压力用于确定所述空调机组的蒸发温度；
    控制器，被配置为执行下述操作：
    获取所述回风温度、所述冷凝温度、所述蒸发温度、压缩机参数、风机参数；
    根据所述回风温度、所述冷凝温度、所述蒸发温度、所述压缩机参数、所述风机参数、压缩机功率曲线、风机功率曲线，确定预设蒸发温度，其中，在所述预设蒸发温度下，所述压缩机功率与所述风机功率的和最小；
    根据所述压缩机功率曲线、所述风机功率曲线，确定与所述预设蒸发温度对应的预设压缩机频率、预设风机频率；
    根据所述预设压缩机频率控制所述压缩机，根据所述预设风机频率控制所述风机。
PCT/CN2018/121247 2018-02-11 2018-12-14 空调机组控制方法和装置、空调机组 Ceased WO2019153888A1 (zh)

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