Classifications

• • 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
  • F24F11/30—Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
• • 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
  • F24F11/30—Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
  • F24F11/41—Defrosting; Preventing freezing
• • 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
  • F24F11/56—Remote control
  • F24F11/58—Remote control using Internet communication
• • 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
  • F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
• • 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
  • F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
  • F24F11/63—Electronic processing
• • 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
  • F24F11/56—Remote control
• • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
  • F24—HEATING; RANGES; VENTILATING
  • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
  • F24F2130/00—Control inputs relating to environmental factors not covered by group F24F2110/00
• • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
  • F24—HEATING; RANGES; VENTILATING
  • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
  • F24F2130/00—Control inputs relating to environmental factors not covered by group F24F2110/00
  • F24F2130/10—Weather information or forecasts

Definitions

• the invention relates to the field of household appliances and automatic control, in particular to a cloud computing-based cloud air conditioner adaptive defrosting method and system, which can be adaptively implemented according to ambient temperature, humidity and rain and snow conditions under heating conditions. Frost.
• the automatic frost is required under the condition that the outdoor condenser is frosted, and the defrosting control generally collects the relevant temperature through the outdoor ambient temperature sensor, the outdoor condenser coil temperature sensor, etc., and then presses the fixed software.
• the algorithm determines the entry and exit conditions of the defrosting, and finally realizes the defrosting operation. Due to the large differences in ambient temperature, humidity, and rain and snow conditions, when the same fixed defrosting algorithm is used, there may be cases where frost does not enter defrosting, defrosting is not complete, or frost-free defrosting occurs. It seriously affects the comfort of the air conditioner under heating conditions; on the other hand, if it is still defrosted without frost, it will cause unnecessary energy consumption.
• Cloud air conditioners can provide three-way interaction and communication between home appliance manufacturers and cloud air conditioners, manufacturers and users, users and cloud air conditioners. Air conditioner manufacturers or authorized users can customize the different application functions of air conditioners at any time, thus easily implementing cloud service functions such as automatic upgrade of air conditioner software, personalized temperature and humidity settings, but they do not pay sufficient attention to adaptive defrosting. It is therefore necessary to design a new defrosting solution.
• the present invention provides a cloud computing-based cloud air conditioner adaptive defrosting method and system, which can adaptively perform defrosting according to local environmental temperature, humidity, and rain and snow conditions under heating conditions.
• the technical solution of the cloud-based cloud air conditioner adaptive defrosting method of the present invention is adapted to the cloud air conditioning system connected to the cloud computing center platform through a communication network, which includes: The cloud computing center platform receives the adaptive defrosting function startup command sent by the user and the current geographic information;
• the cloud service center of the cloud computing center platform queries the weather forecast platform to obtain the current weather conditions, and the current weather conditions obtained include the real-time temperature, humidity, rain and snow conditions of the cloud air conditioner location;
• the cloud service center calls its cloud service application module to obtain an optimized frost plan based on current weather conditions
• the Cloud Service Center downloads the optimized frost solution to the cloud air conditioner for adaptive defrosting.
• the user sends an adaptive defrosting function activation command and current geographic information through the user terminal.
• the cloud service center downloads the optimized frost scheme to the embedded controller of the cloud air conditioner to perform adaptive defrosting.
• the optimal frost scheme determines the cloud air conditioner entry determination condition and the defrosting exit determination condition according to the current weather condition, wherein: when the cloud air conditioner is in a low ambient temperature, a large humidity, or a rainy or snowy weather, the defrosting enters Determine the condition to maximize the frost running time, so that the defrost exit determination condition maximizes the frost running time, and adjusts the first coil temperature setting value and the second coil temperature setting value; when the cloud air conditioner is in the south In the area or normal weather, adjust the above parameters accordingly
• the present invention provides a cloud computing-based cloud air conditioner adaptive defrosting system, the technical solution of which is adapted to connect to a cloud air conditioning system of a cloud computing center platform through a communication network, the cloud computing center platform is connected to the weather a forecasting platform, wherein: the cloud computing center platform is configured to receive an adaptive frosting function startup instruction and current geographic information sent by the user; and query the weather forecasting platform through the cloud service center of the cloud computing center platform to obtain a current weather condition
• the current weather conditions obtained include real-time temperature, humidity, rain and snow conditions of the cloud air conditioner location; and the cloud service application module is invoked by the cloud service center to obtain an optimized frost scheme determined according to current weather conditions;
• the service center downloads the optimized frost plan to the cloud air conditioner for adaptive defrosting.
• the user terminal is connected to the cloud computing center platform through a communication network, and is used for the user to send an adaptive defrosting function startup instruction and current geographic information through the user terminal.
• the cloud air conditioner is provided with an embedded controller, and the cloud service center is configured to download an optimized frost scheme into the embedded controller, so as to perform adaptive defrosting accordingly.
• the embedded controller is provided with a remote setting function module and a remote online software upgrading function module.
• the communication network is an Internet of Things.
• the optimized frost scheme obtained by the cloud service center determines the cloud air conditioner entry determination condition and the defrosting exit determination condition according to the current weather condition, wherein: when the cloud air conditioner is in an environment with a low ambient temperature, a large humidity, or a rain or snow In the weather, the defrosting enters the determination condition to maximize the frost running time, so that the defrosting exit determination condition maximizes the frost running time, and adjusts the first coil temperature setting value and the second coil temperature setting value; When the environment in which the cloud air conditioner is located is in the southern region or in normal weather, the above parameters are adjusted in reverse.
• the present invention utilizes the Internet of Things and the cloud computing platform to adaptively perform defrosting according to the ambient temperature, humidity, and rain and snow conditions of the local environment, specifically: in the case of frost, it can be automatically and thoroughly performed. Defrost ensures the comfort of the air conditioner under heating conditions; when there is no frost, it does not enter the defrosting, thus avoiding unnecessary energy consumption.
• FIG. 1 is a composition diagram of a cloud air conditioning network to which the adaptive defrosting method and system of the present invention are applied;
• FIG. 2 is a block diagram showing the composition of a cloud-based cloud air conditioner adaptive defrosting system according to the present invention
• FIG. 3 is a flow chart of a cloud computing-based cloud air conditioner adaptive defrosting method according to the present invention.
• the conditions for determining the air-conditioning heating cream are generally classified into entry defrosting conditions and exit defrosting conditions.
• the parameters for entering the defrosting determination are generally the heating operation time Theat, the coil temperature Tpipe, the minimum heating operation time Tmin, the coil temperature setting value Tsetl, etc.; when Tpipe ⁇ Tsetl and Theat>Tmin are satisfied, the air conditioner enters the defrosting.
• the exit defrosting determination parameter is generally to maximize the frost running time Tmax, the coil temperature Tpipe, the defrosting running time Tdefrost, the coil temperature setting value Tset2, etc.; when the defrosting operation is satisfied When Tdefrost>Tmax or Tpipe>Tset2, the air conditioner exits the defrosting operation.
• Ordinary air conditioners are designed according to the same judgment mode. For different seasons and different seasons and rain and snow conditions, Tsetl, Tset2, Tmax, Tmin and other spring numbers are unique.
• the defrosting control scheme cannot be combined with the real-time ambient temperature and humidity of the air conditioner. In accordance with the specific environmental conditions such as rain and snow, the defrosting is not timely, the defrosting is not thorough, and the frost-free defrosting is caused, resulting in poor comfort performance.
• the so-called cloud computing the basic principle is: By distributing the calculations on a large number of distributed computers, rather than local computers or remote servers, the enterprise data center will operate more like the Internet. This allows companies to switch resources to the applications they need and access computers and storage systems as needed. This is a revolutionary move, which is like a shift from the old single generator mode to the centralized power supply mode of the power plant. It means that computing power or computing power can also be circulated as a commodity, just like gas and water, it is easy to use and low cost. The biggest difference is that this computing power or storage capacity is transmitted over the Internet. In this way, only one laptop, one mobile phone or other terminal is needed, and everything that the user needs can be realized through the network service, even including the task of super computing. From this perspective, the end user is the true owner of cloud computing.
• the core idea of the present invention is to solve the problem that the current air conditioning defrosting control scheme cannot adapt to the specific environmental conditions such as temperature, humidity, rain and snow, and thus the defrosting is not timely, the defrosting is not thorough, and the frost is not frosted.
• a cloud-based air conditioning control system solution based on cloud computing and adaptive frosting according to specific environmental conditions is proposed.
• the cloud air conditioning system is a cloud air conditioning system with an adaptive defrosting function, including a cloud air conditioner 4 connected by a communication network (Internet of Things) 5, a cloud computing center 2, a user terminal (MID device) 1, a weather forecasting platform The third part, thus forming a cloud air conditioning defrosting control system based on cloud computing technology.
• a cloud air conditioner 4 connected by a communication network (Internet of Things) 5, a cloud computing center 2, a user terminal (MID device) 1, a weather forecasting platform
• MID device user terminal
• the third part thus forming a cloud air conditioning defrosting control system based on cloud computing technology.
• FIG. 2 a preferred embodiment of the cloud computing-based cloud air conditioner adaptive defrosting system of the present invention is shown. among them:
• the user terminal 1 can be a mobile phone, a notebook computer, etc., when the user confirms that the adaptive defrosting needs to be started, The user terminal 1 sends an adaptive defrosting function command and current geographic location information to the cloud service center of the cloud computing center platform to perform subsequent self-applied defrosting.
• the cloud computing center platform 2 and the weather forecasting platform 3 are interconnected, and can query and feedback the real-time weather conditions of the user at any time, including temperature, humidity, rain and snow conditions, etc.;
• the cloud computing center 2 includes a cloud service center 21 having various cloud application modules 22, thereby enabling specific algorithms to determine different operating modes of the air conditioner and providing an optimal frost scheme that best meets local conditions;
• the weather forecasting platform 3 is a public center, and can provide real-time weather conditions in various places, and is used for reference of the cloud computing center platform 2 when determining the defrosting scheme;
• the cloud air conditioner 4 is provided with an intelligent embedded controller that starts adaptive defrosting when a defrosting scheme is received.
• the intelligent embedded controller has functions such as remote setting and remote online software upgrade, and realizes online upgrade and personalized customization of the software through the cloud computing center platform under the condition of user confirmation.
• the working process of the cloud computing-based cloud air conditioner adaptive defrosting system mainly comprises: 1 a cloud computing center platform for receiving an adaptive defrosting function startup instruction sent by a user and current geographic information;
• the cloud service center of the cloud computing center platform queries the weather forecasting platform to obtain the current weather condition;
• 3 the cloud service application module is invoked by the cloud service center to obtain an optimized frost plan determined according to the current weather condition;
• 4 by the cloud The service center downloads the optimized frost plan to the cloud air conditioner for adaptive defrosting.
• the manufacturer or authorized user can realize the optimal adaptation of the defrosting control and the local operating environment by relying on the cloud air-conditioning platform.
• the online update and upgrade of the software for the air-conditioning through the cloud service center can ensure that the cloud air-conditioning adopts the most suitable local. Defrost control scheme for the current environment.
• FIG. 3 a preferred embodiment of the cloud computing-based cloud air conditioner adaptive defrosting method of the present invention is shown.
• the cloud cloud air conditioner adaptive defrosting method shown in Figure 3 utilizes the powerful cloud service center function of the cloud computing center platform, and adopts an adaptive defrosting mode.
• the specific execution process mainly includes the following steps:
• the cloud computing center platform receives an adaptive defrosting function start instruction and current geographic information sent by the user through the user terminal.
• the cloud air conditioner user confirms that the adaptive defrosting needs to be started
• the user terminal sends the adaptive defrosting function command and the current geographical location information to the cloud service center of the cloud computing center platform to perform the subsequent self-applied defrosting.
• the cloud service center of the cloud computing center platform queries the weather forecast platform to obtain the current weather conditions.
• the cloud service center of the cloud computing center platform automatically connects to the weather forecasting platform to query the current current weather conditions such as the real-time temperature, humidity, rain and snow conditions of the user's location, so that the cloud service application module generates an optimal frost plan.
• the cloud service center of the cloud computing center platform invokes its cloud service application module to obtain an optimized frost scheme determined according to current weather conditions.
• the cloud service center After the cloud service center calls its cloud service application module, it determines the defrosting entry judgment condition and the exit determination conditions Tsetl, Tset2, Tmax, Tmin and other parameters that best meet the local environmental conditions according to the current weather conditions.
• the maximum running time Tmin of the judgment condition is reduced accordingly, and the exit condition is maximized.
• the frost running time Tmax is increased, and Tsetl and Tset2 are adjusted accordingly to avoid frost. No defrosting or defrosting is not complete.
• the air conditioner is in the south or normal weather, adjust the above parameters in reverse to avoid frost-free defrosting to reduce the power consumption of the air conditioner and improve its comfort.
• the cloud service center of the cloud computing center platform downloads the optimized frost scheme determined according to the current weather conditions to the embedded controller of the cloud air conditioner through the network, and uses the cloud air conditioner to adaptively defrost the scheme.
• the cloud service center After the cloud service center generates the adaptive frosting method, it downloads to the cloud air conditioner embedded controller through the network; and the cloud air conditioner embedded controller obtains the defrosting parameters provided by the cloud center, and then provides the operating plan that is most suitable for the current environmental conditions. Determining and executing the defrosting work.
• the present invention utilizes the Internet of Things and the cloud computing platform to adaptively perform defrosting according to ambient temperature, humidity, and rain and snow conditions.
• automatic and thorough defrosting can be performed to ensure air conditioning. Comfort under heating conditions; when there is no frost, it does not enter defrosting, thus avoiding Unnecessary energy consumption.

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• Engineering & Computer Science (AREA)
• Chemical & Material Sciences (AREA)
• Combustion & Propulsion (AREA)
• Mechanical Engineering (AREA)
• General Engineering & Computer Science (AREA)
• Signal Processing (AREA)
• Physics & Mathematics (AREA)
• Fuzzy Systems (AREA)
• Mathematical Physics (AREA)
• Human Computer Interaction (AREA)
• Air Conditioning Control Device (AREA)

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Cited By (12)

Citations (7)

• 2012
  • 2012-01-30 WO PCT/CN2012/070756 patent/WO2013113139A1/fr not_active Ceased

Patent Citations (7)

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