JPH05149598A - Fuzzy air conditioner system for guest room of hotel - Google Patents

Abstract

(57) [Summary] [Purpose] To improve user comfort and energy efficiency by applying fuzzy control to the air conditioning of hotel guest rooms. [Structure] A fan coil unit installed in the cabin,
The user information 16b, the user-reported value 24, and the room state are provided, which includes an operation panel that is provided in the cabin and that inputs the user-reported value 24, and user information 16b and the room-state information 25 that are input from outside the cabin. After the information 25 is fuzzy by the membership function, the temperature setting means 27 for setting the air conditioning temperature by performing fuzzy inference based on the fuzzy rule, and the room temperature and its change amount with respect to this set temperature are respectively set by the membership function. After the fuzzy processing, the air volume setting means 22 for performing the fuzzy inference based on the fuzzy rule to set the air volume.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a fuzzy air conditioner for a hotel guest room, which performs fuzzy inference based on fuzzy rules after fuzzy user-reservation data, declared value, etc. by a membership function, and then performs fuzzy inference based on fuzzy rules. Regarding the system.

[0002]

2. Description of the Related Art Conventionally, the setting of air conditioning in a hotel guest room is performed by the user entering the guest room and operating the ON / OFF or the strong, medium and weak buttons by the user himself.

[0003]

However, in the above-mentioned conventional setting method, there is a problem that a desired environment cannot be realized because the temperature cannot be set to the temperature that the user likes, and the user cannot enter the room. Since the air conditioning is performed after that, there is a problem that the environment when entering the room is particularly bad,
Further, since the heat source device side does not know the air conditioning setting condition of the passenger compartment, there is a problem that the operation efficiency of the heat source device is low.

By applying fuzzy control to air conditioning, the indoor and outdoor temperatures, humidity, etc. are detected, and the detected value is simply compared with the target value to determine the operation amount depending on whether the detected value is larger or smaller than the target value. Instead of the conventional air conditioning control that was decided, it is possible to perform sensory air conditioning control that determines the operation amount by judging the environment with ambiguous expressions such as hot, cold, damp, dry etc. became.

According to the fuzzy control, for example, a membership function for exchanging a detected value such as temperature by a sensor and an ambiguous natural language such as "high" or "just right" that humans have, "if the temperature is high, If the fuzzy rule is used, the fuzzy inference is performed, the center of gravity of the fuzzy set obtained by the logical sum is calculated, and defuzzification is performed for each controlled object to determine the manipulated variable. You can decide.

The present invention is to solve the above-mentioned problems, and by applying the above-mentioned fuzzy control to the air-conditioning of a hotel guest room, it is possible to improve user comfort and energy saving fuzzy for a hotel guest room. The purpose is to provide an air conditioning system.

[0007]

Therefore, the fuzzy air-conditioning system for hotel guest rooms of the present invention is provided with a fan coil unit 2 provided in the guest room 1 and an operation panel provided in the guest room 1 for inputting a user-declared value 24. 7 and the user information 16b and the room state information 25 input from outside the guest room 1, and after the user information 16b, the user declared value 24 and the room state information 25 are fuzzy by the membership function respectively, The temperature setting means 27 for performing the fuzzy inference based on the fuzzy rule to set the air-conditioning temperature, and the room temperature and its change amount with respect to the set temperature are fuzzy by membership functions respectively, and then the fuzzy inference based on the fuzzy rule is performed. And an air volume setting means 22 for setting the air volume.

For example, the user information 16b is at least one of age, nationality, area, and sex, the user declaration value 24 is a request for the user's thermal sensation, and the room state information 25 is The information is at least one of room orientation, solar radiation amount, and blind open / closed state. It should be noted that the numbers added to the above-mentioned configurations are for comparison with the drawings for easy understanding, and the configurations of the present invention are not limited thereby.

[0009]

According to the present invention, the user information, the user-reported value, and the room state information are fuzzy by membership functions, and then fuzzy inference based on fuzzy rules is performed to set the air conditioning temperature. Since the room temperature and its variation with respect to this set temperature are fuzzy by the membership function, and the air volume setting means for performing the fuzzy inference based on the fuzzy rule to set the air volume is provided at the time of reservation or check-in. Based on the data, the air conditioning according to the user's preference is realized, and after entering the room, the air conditioning according to the user's thermal sensation at that time is performed.

[0010]

Embodiments of the present invention will be described below with reference to the drawings. FIG. 1 is a plan view of a hotel guest room according to the present invention. FIG. 2 is an overall configuration diagram showing an embodiment of a fuzzy air conditioning system for hotel guest rooms according to the present invention.

A fan coil unit 2, an operation panel 7 having a display unit 3, an operation unit 5 and a temperature / humidity sensor 6 and a blind state detection sensor 10 for detecting an open / close state of a blind 9 are provided in a hotel cabin 1. It is provided. The fan coil unit 2 includes a blower fan 11, a cold water coil 12 and a hot water coil 13, and cold water and hot water are supplied to the cold water coil 12 and the hot water coil 13 from a heat source device 15 provided in a basement of a hotel or the like.

A signal input from the operating device 5, a detection signal from the temperature / humidity sensor 6, check-in / out and user information 16 input from the front machine are input to a fuzzy controller 17, which will be described later. After making fuzzy by the ship function, the fuzzy inference based on the fuzzy rule is operated and processed, and the fan coil unit 2 outputs the start / stop command and the control signal for setting the air volume, and also sets it to the heat source fuzzy controller 19. The temperature signal is output. Further, the fuzzy controller 17 outputs predetermined information to the display device 3. The heat source fuzzy controller 19 performs fuzzy control based on the set temperature signals from all guest rooms, and outputs control signals for the water flow rate and the water temperature to the heat source device 15.

FIG. 3 shows the configuration of the fuzzy controller 17, which is composed of the input unit 2
0, fuzzy control unit 21, air volume setting unit 22, VVVF
(Variable voltage / variable frequency power supply device) 23.

In the input section 20, check-in / out information 16 is provided as room utilization information 16 from the front side.
a and user information 16b such as age, nationality, region, and gender are input. Further, the user-reported value 24 is input by the user from the operation panel 7 side. Further, as the room state information 25, the room orientation, the amount of solar radiation, and the blind open / closed state are input. Further, the indoor temperature is input from the sensor 6.

The fuzzy controller 21 includes an input calculator 26,
The temperature setting unit 27 and the output calculation unit 28 are included. In the input calculation unit 26, the user information 16b and the user declared value 24
After fuzzy by each membership function of the room state information 25 and the room state information 25, fuzzy inference is performed based on the set temperature change rules A, B, C which are fuzzy rules, and the temperature setting unit 27 uses the output values of the fuzzy reasoning. Temperature is set. In addition, in the output calculation unit 28, the fan coil unit start / stop rule D is processed based on the check-in / out information 16a, and the signal of the sensor 6 with respect to the set temperature of the temperature setting unit 27 is fuzzy by a membership function. After that, fuzzy inference is performed based on the fan coil unit control rule E, which is a fuzzy rule, and VVVF (variable voltage / variable frequency power supply device) is set in the air volume setting unit 22 according to the operation amount determined by the fuzzy control unit 21. The control signal is converted into a control signal 23, and the VVVF controls the start and stop of the blower fan 11 and the rotation speed.

Next, each of the above fuzzy rules will be described.

Set Temperature Change Rule A This rule determines the set temperature of the air conditioner suitable for the user based on the user information 16b such as age, nationality, region, gender, etc. input at the time of reservation or check-in. This is processing for. For that purpose, first, a membership function is provided to transfer input values such as age, nationality, region, and gender, and an ambiguous natural language such as "confident" or "somewhat convincible" that humans have. Since this membership function is subjectively determined by the experience and intuition of the operator, the setting and modification of the membership function can be performed by the operator sensuously on the CRT, which is ambiguous to humans. The evaluation axis can be imported into the computer as it is. Therefore, the condition of the knowledge base can be described in an ambiguous natural language rather than a numerical value, and an excellent interface with the operator can be provided.

4A to 4D show membership functions of age, nationality, region, sex and set temperature, respectively. For example, in terms of age, the entered age is
It is converted into fuzzy words such as "infant", "young person" and "elderly" with a certainty factor of 0 to 1. In the nationality and region, the input latitude is converted into fuzzy words such as "tropical region", "warm region", and "cold region" with a certainty factor of 0 to 1 to be fuzzy. In gender, it is converted to male / female because the distinction is clear.

When the input items are made fuzzy by the above membership function, fuzzy inference is performed based on the following fuzzy rules. The fuzzy rule is the conditional part IF ~
The state of the controlled object is described in, and the content of the operation corresponding to the state is described in the conclusion part THEN.

[Age] IF: User = elderly THEN: Set temperature = higher IF: User = infant THEN: Set temperature = higher IF: User = younger THEN: Set temperature = lower [Nationality / Region] IF : User = From warm area THEN: Set temperature = Normal IF: User = From tropical area THEN: Set temperature = High IF: User = From cold area THEN: Set temperature = Low [Gender] IF: User = Male THEN: Set temperature = Low IF: User = Female THEN: Set temperature = High Then, the set temperature is determined by the membership function of the set temperature shown in FIG. 4D.

Set Temperature Change Rule B This rule is a process for determining the set temperature of the air conditioner that meets the user's request based on the user declared value 24. The user can use the operation panel 7 shown in FIG. 5 to press the cool button 7a or the warm button 7b according to his / her individual preference, for example, when he / she wants to be a little cooler or warmer. Request is entered. In addition, the operation panel 7 has a room temperature, a set temperature,
Liquid crystal display 7c for displaying the air conditioning operation status (fan output)
Is provided so that the user can monitor the air conditioning status.

FIG. 6 shows a cool button 7a or a warm button 7b.
, Which is converted into a fuzzy word “more” or “long” with a certainty degree of 0 to 1 and fuzzy. When input items are fuzzy by this membership function, fuzzy inference is performed based on the following fuzzy rules.

IF: Cool button press count = many or long THEN: Set temperature = decrease IF: Warm button press count = many or long THEN:
Set temperature = increase Set temperature change rule C This rule is a process for determining the set temperature of the air conditioner that suits the state of the room based on the room state information 25 such as the room orientation, the amount of solar radiation, and the blind open / close state. .. 7A
Each of ~ D indicates a membership function of the room orientation, the amount of solar radiation, the blind open / closed state, and the set temperature. When the input items are fuzzy by this membership function, fuzzy inference is performed based on the following fuzzy rules.

IF: Room orientation = West AND Solar radiation = Large AND Blind = Open THEN: Set temperature = High IF: Room orientation = West AND Solar radiation = Large AND
Blind = Closed THEN: Set temperature = Lower a little IF: Room orientation = West AND Insolation amount = Low THEN: Set temperature = As is IF: Room orientation = North AND Insolation amount = High AND
Blind = Open THEN: Set temperature = As is IF: Room orientation = North AND Insolation = Large AND
Blind = Closed THEN: Set temperature = Increase slightly IF: Room orientation = North AND Solar radiation = Less THEN: Set temperature = Increase …………………………… And by the membership function of the set temperature shown in Fig. 7D. Determine the set temperature.

Then, the logical sum (superposition) of the membership functions of each rule conclusion part obtained by the processing of the above rules, and is taken, the centroid of the fuzzy set obtained by this logical sum is calculated, and the final Get the desired set temperature.

Fan coil unit start / stop rule D This rule is not a fuzzy rule but a check-in / check-in rule.
This is a process for starting and stopping the blower fan 11 based on the out information 16a. When the check-in is input, the blower fan 11 is turned on, and when the check-out is input, the blower fan 11 is turned off. This is a binary decision rule.

Fan Coil Unit Control Rule E This rule is for the room temperature T and the room temperature T with respect to the set temperature.
Is a process of determining the operation amount of the VVVF (variable voltage / variable frequency power supply device) 23 according to the change amount ΔT of

8A to 8C show membership functions of the room temperature T with respect to the set temperature, the variation ΔT thereof, and the VVVF manipulated variable, respectively. For example, in the room temperature T with respect to the set temperature, the input temperature is converted to the ambiguous words “low”, “appropriate”, and “high” with a certainty degree of 0 to 1 and fuzzy. Be converted. In the amount of change ΔT, the input value is 0 to 1 for the ambiguous words “falling” and “raising”.
Is converted into fuzzy by the certainty factor of. When the input items are fuzzy by the above membership function, fuzzy inference is performed based on the following fuzzy rules.

[Heating rule] IF: T = high AND ΔT = up THEN: VVVF operation amount = decrease IF: T = high AND ΔT = decrease THEN: VVVF operation amount = slightly decrease IF: T = appropriate AND ΔT = Increase THEN: VVVF operation amount = Slightly decrease IF: T = Appropriate AND ΔT = Down THEN: VVVF operation amount = Slightly increase IF: T = Low AND ΔT = Up THEN: VVVF operation amount = Slightly IF: T = Low AND ΔT = Down THEN: VVVF operation amount = Increase [cooling rule] IF: T = High AND ΔT = Up THEN: VVVF operation amount = Increase IF: T = High AND ΔT = Down THEN: VVVF operation amount = slightly increase IF: T = appropriate AND ΔT = increase THEN: VVVF operation amount = slightly increased IF: T = appropriate AND ΔT = decreased THEN: VVVF operation amount = slightly decreased IF: T = low AND ΔT = increased THEN: VVVF operation amount = slightly decreased IF: T = Low AND ΔT = Down THEN: VVVF manipulated variable = decreased Then, the manipulated variable is determined by the membership function of the VVVF manipulated variable shown in FIG. 8C.

The present invention is not limited to the above embodiment, but various modifications can be made. For example, in the above-mentioned embodiment, various examples are given as the input information, but not all of them are input, and, for example, input information such as humidity and the like may be input.

[0031]

As is apparent from the above description, according to the present invention, the air conditioning according to the user's preference is realized based on the data at the time of reservation and at the time of check-in. Environment is provided. In addition, after entering the room, air conditioning is performed according to the user's preference for the thermal sensation at that time, so that the comfort of the user can be improved. Furthermore, since the air conditioning is automatically started and stopped and the heat source is controlled based on the setting conditions of each guest room, the energy saving effect is high.

[Brief description of drawings]

FIG. 1 is a plan view of a hotel guest room according to the present invention.

FIG. 2 is an overall configuration diagram showing one embodiment of a fuzzy air conditioning system for hotel guest rooms of the present invention

FIG. 3 is a diagram showing a configuration example of the fuzzy controller of FIG.

FIG. 4 is a diagram showing an example of a membership function of user information.

FIG. 5 is a diagram showing an example of an operation panel.

FIG. 6 is a diagram showing an example of a membership function of a user-declared value.

FIG. 7 is a diagram showing an example of membership functions of room state information and set temperature.

FIG. 8 is a diagram showing an example of membership functions of room state information and an operation amount.

[Explanation of symbols]

DESCRIPTION OF SYMBOLS 1 ... Guest room, 2 ... Fan coil unit, 7 ... Operation panel, 16b ... User information 17 ... Fuzzy controller, 21 ... Fuzzy control part, 22 ... Air volume setting means 24 ... User declared value, 25 ... Room state information, 27 ... Temperature setting means

Claims (3)

[Claims] 1. A fan coil unit provided in a passenger compartment, an operation panel provided in the passenger compartment for inputting a user-declared value, user information and room state information inputted from outside the passenger compartment, Information, user-declared value and room state information are fuzzy by membership functions respectively, and then fuzzy inference based on fuzzy rules is used to set the air-conditioning temperature, and the room temperature and its corresponding temperature are set. A fuzzy air conditioning system for a hotel guest room, comprising: an air volume setting means for performing a fuzzy inference based on a fuzzy rule to perform a fuzzy inference based on a fuzzy rule, after fuzzyizing each of the changes by a membership function. 2. The user information is at least one of age, nationality, region, and gender, the user declared value is a request for a user's thermal sensation, and the room state information is The fuzzy air-conditioning system for a hotel guest room according to claim 1, wherein the information is at least one of a room orientation, an amount of solar radiation, and a blind opening / closing state. 3. The fuzzy air-conditioning system for a hotel guest room according to claim 1, wherein the fan coil unit is started and stopped according to check-in / out information input from outside the guest room.