Air conditioner management method and air conditioning system

Abstract

To provide a management method of an air conditioner capable of evaluating comfort of a user of the air conditioner according to an actual situation, and an air conditioning system.SOLUTION: The communication device 4 of the air conditioner receives a radio wave transmitted from the mobile terminal 10, and the monitoring center 1 calculates a comfort index of an air-conditioned area of the air conditioner 2 at a certain time, detects the presence of a worker in the air-conditioned area of the air conditioner 2 at the certain time based on the reception of the radio wave by the communication device 4, and evaluates the comfort of the air-conditioned area of the air conditioner 2 based on the comfort index and the detection result of the presence of the worker at a plurality of times.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present disclosure relates to an air conditioner management method and an air conditioning system. [Background technology]

[0002] Conventionally, there have been known methods for evaluating the comfort of air conditioners using the predicted mean vote (PMV). For example, Patent Document 1 describes an air conditioner that controls the indoor environment to a comfortable state using the PMV value, in which the PMV value is calculated without being restricted by the installation location of the detection means, and the PMV value is quickly controlled neutrally, and even if the PMV value is distributed within the air-conditioned space, the PMV value is controlled neutrally in all occupied areas. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Publication No. 5-306830 Summary of the Invention [Problem to be solved by the invention]

[0004] In the method described in Patent Document 1, the comfort of the air conditioner user is evaluated using PMV regardless of whether there is a person in the air-conditioned area. Even if the PMV is significantly different from the comfortable state, there is no point in evaluating the comfort if there is no person in the air-conditioned area.

[0005] Therefore, an object of the present disclosure is to provide an air conditioner management method and an air conditioning system that can evaluate the comfort of air conditioner users in accordance with actual conditions. [Means for solving the problem]

[0006] The air conditioner management method disclosed herein comprises the steps of calculating a comfort index for the air conditioner's air-conditioned area at a certain time, detecting the presence of a worker in the air conditioner's air-conditioned area at a certain time based on reception of radio waves transmitted from a mobile terminal carried by the worker by a communication device installed in the air conditioner, and evaluating the comfort of the air conditioner's air-conditioned area based on the comfort index at multiple times and the detection results of the worker's presence.

[0007] The air conditioning system of the present disclosure comprises an air conditioner equipped with a communication device, a mobile terminal, and a monitoring center that monitors the air conditioner, wherein the communication device of the air conditioner receives radio waves transmitted from the mobile terminal, and the monitoring center calculates a comfort index for the air conditioner's air-conditioned area at a certain time, detects the presence of a worker in the air conditioner's air-conditioned area at a certain time based on the radio waves received by the communication device, and evaluates the comfort of the air conditioner's air-conditioned area based on the comfort index at multiple times and the detection results of the worker's presence. [Effects of the Invention]

[0008] According to the present disclosure, the comfort of users of an air conditioner can be evaluated in accordance with actual conditions. [Brief explanation of the drawings]

[0009] [Figure 1] 1 is a diagram showing the configuration of an air conditioning system according to a first embodiment. [Figure 2] FIG. 1 is a diagram showing the configuration of a monitoring center 1. [Figure 3] 3 is a flowchart showing a procedure for evaluating the comfort of an air conditioner according to the first embodiment. [Figure 4] FIG. 3 is a diagram illustrating an example of a detection table according to the first embodiment. [Figure 5] FIG. 2 is a diagram illustrating an example of a counting process according to the first embodiment. [Figure 6] 10 is a flowchart showing the procedure for evaluating the comfort of an air conditioner according to the second embodiment. [Figure 7] FIG. 10 is a diagram illustrating an example of a detection table according to the second embodiment. [Figure 8]FIG. 10 is a diagram illustrating an example of a counting process according to the second embodiment. [Figure 9] FIG. 10 is a diagram showing the configuration of an air conditioning system according to a third embodiment. [Figure 10] 10 is a flowchart showing the procedure for evaluating the comfort of an air conditioner according to the third embodiment. [Figure 11] FIG. 11 is a diagram illustrating an example of a detection table according to the third embodiment. [Figure 12] 10 is a flowchart showing the procedure for evaluating the comfort of an air conditioner according to a fourth embodiment. [Figure 13] FIG. 13 is a diagram illustrating an example of a detection table according to the fourth embodiment. [Figure 14] FIG. 10 is a diagram showing the configuration of an air conditioning system according to a fifth embodiment. [Figure 15] 10 is a flowchart showing the procedure for evaluating the comfort of an air conditioner according to a fifth embodiment. [Figure 16] FIG. 13 is a diagram illustrating an example of a detection table according to the fifth embodiment. [Figure 17] 13 is a flowchart showing the procedure for evaluating the comfort of an air conditioner according to the sixth embodiment. [Figure 18] FIG. 20 is a diagram illustrating an example of a detection table according to the sixth embodiment. [Figure 19] FIG. 13 is a diagram showing the configuration of an air conditioning system according to a seventh embodiment. [Figure 20] 13 is a flowchart showing the procedure for evaluating the comfort of an air conditioner according to the seventh embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0010] Hereinafter, embodiments will be described with reference to the drawings. Embodiment 1

[0011] 1 is a diagram showing the configuration of an air conditioning system according to embodiment 1. The air conditioning system includes a monitoring center 1, a plurality of air conditioners 2, and a mobile terminal 10.

[0012] The air conditioner 2 performs cooling, heating, or ventilation for the air-conditioned areas R1, R2, R3, etc. in which it is located. The air conditioner 2 is equipped with an air supply temperature sensor 3 and a communication device 4. The air supply temperature sensor 3 detects the temperature of the air at the air supply port of the air conditioner 2. The communication device 4 is configured to be capable of short-range wireless communication with the mobile terminal 10 via Bluetooth (registered trademark) or Wi-Fi. The communication device 4 is configured to be capable of communication with the monitoring center 1.

[0013] The mobile terminal 10 is held by a worker in the air-conditioned area of ​​the air conditioner 2. The mobile terminal 10 is configured to be capable of short-range wireless communication with the communication device 4 of the air conditioner 2.

[0014] 2 is a diagram showing the configuration of the monitoring center 1. The monitoring center 1 includes a memory 11, a processor 12, and a communication circuit 13.

[0015] The communication circuit 13 is configured to be able to communicate with the communication device 4 of the air conditioner 2. The memory 11 stores various data, programs, etc. The processor 12 executes the programs stored in the memory 11. The processor 12 calculates the PMV of the air-conditioned area of ​​the air conditioner 2 at a certain time, detects the presence of a worker in the air-conditioned area of ​​the air conditioner 2 at a certain time based on radio waves received by the communication device 4, and evaluates the comfort of the air-conditioned area of ​​the air conditioner 2 based on the PMV at multiple times and the detection results of the worker presence. The processor 12 evaluates the comfort of the air-conditioned area by excluding the PMV for times when the presence of a worker was not detected. FIG. 3 is a flowchart showing the procedure for evaluating the comfort of the air conditioner according to the first embodiment.

[0016] In step S101, if the current time point reaches a predetermined detection time point at every fixed time, the process proceeds to step S102.

[0017] In step S102, the processor 12 of the monitoring center 1 calculates the PMV of the air-conditioned area of ​​the air conditioner 2. For example, the processor 12 calculates the PMV of the air-conditioned area based on the air supply temperature of the air conditioner 2 detected by the air supply temperature sensor 3 and other factors. The other factors may use measured values ​​or may use predetermined values ​​determined by the current date and time.

[0018] In step S103, the processor 12 of the monitoring center 1 detects whether a worker is present in the air-conditioned area of ​​the air conditioner 2 based on whether radio waves are received from the mobile terminal 10 by the communication device 4 or whether the radio wave reception level is above a threshold.

[0019] In step S104, the processor 12 of the monitoring center 1 updates the detection table using the PMV calculated in step S102 and the presence of a worker in the air-conditioned area detected in step S103. Figure 4 is a diagram showing an example of the detection table of the first embodiment. The detection table records the PMV at the time of detection (date, time) and the presence or absence of a worker.

[0020] In step S105, if the current time point reaches a predetermined aggregation point for each fixed time period, the process proceeds to step S106.

[0021] In step S106, the processor 12 of the monitoring center 1 performs a counting process on the detection table. Fig. 5 is a diagram showing an example of the counting process in the first embodiment. For each period, the processor 12 of the monitoring center 1 calculates the average value of the PMW at the detection time when a worker is present in the air-conditioned area as the statistical value of the comfort index for that period. In Fig. 4, the PMVs at the detection times when no worker was present (PMV at April 1, 2023, 8:00:00, and April 1, 2023, 11:00:00) are not used in calculating the statistical value of the comfort index.

[0022] As described above, according to this embodiment, the PMV at times when the worker who is the user of the air conditioner is not present in the air-conditioned area is not used for comfort evaluation, so the comfort of the air conditioner user can be evaluated in accordance with the actual situation. Embodiment 2

[0023] In this embodiment, the processor 12 of the monitoring center 1 weights the PMV according to the number of detected workers.

[0024] Figure 6 is a flowchart showing the procedure for evaluating the comfort of an air conditioner in embodiment 2. The flowchart in Figure 6 differs from the flowchart in embodiment 1 in Figure 3 in that it includes steps S203, S204, and S206 instead of steps S103, S104, and S106, and further includes step S2031.

[0025] In step S203, the processor 12 of the monitoring center 1 detects the number of workers present in the air-conditioned area based on whether or not the communication device 4 receives radio waves from the mobile terminal 10, or whether or not the radio wave reception level is above a threshold.

[0026] In step S2031, the processor of the monitoring center 1 calculates a weighted PMV by weighting the PMV by the number of workers.

[0027] In step S204, the processor 12 of the monitoring center 1 updates the detection table using the weighted PMV. FIG. 7 is a diagram showing an example of a detection table according to the second embodiment. The detection table records the PMV at the time of detection (date, time), the number of workers, and the weighted PMV. The weighted PMV is expressed as the product of the number of workers and the PMV. Alternatively, the weighted PMV may be expressed as the product of the PMV and the output value of a function such as a logarithmic function that takes the number of workers as input.

[0028] In step S206, the processor 12 of the monitoring center 1 performs a counting process on the detection table. Fig. 8 is a diagram showing an example of the counting process in embodiment 2. The processor 12 of the monitoring center 1 calculates the average value of the weighted PMW for each period as a statistical value of the comfort index for that period.

[0029] As described above, according to this embodiment, the PMV is weighted according to the number of workers present in the air-conditioned area, so that the comfort of the air-conditioner users can be evaluated in accordance with the actual situation. Embodiment 3

[0030] 9 is a diagram showing the configuration of an air conditioning system according to embodiment 3. A mobile terminal 10 is configured to be able to communicate with a communication circuit 13 of a monitoring center 1 via the Internet or the like.

[0031] In this embodiment, the processor 12 of the monitoring center 1 weights the PMV depending on the number of customers present in the air-conditioned area.

[0032] Fig. 10 is a flowchart showing the procedure for evaluating the comfort of an air conditioner according to embodiment 3. The flowchart in Fig. 10 differs from the flowchart in Fig. 3 according to embodiment 1 in that steps S303, S304, and S306 are provided instead of steps S103, S104, and S106, and step S3031 is further provided.

[0033] In step S303, the processor 12 of the monitoring center 1 acquires the number of customers in the air-conditioned area transmitted from the mobile terminal 10 via the communication circuit 13.

[0034] In step S3031, the processor 12 of the monitoring center 1 calculates a weighted PMV by weighting the PMV by the number of customers in the air-conditioned area.

[0035] In step S304, processor 12 of monitoring center 1 updates the detection table using the weighted PMV. Fig. 11 shows an example of a detection table according to the third embodiment. The detection table records the PMV at the time of detection (date, time), the number of customers, and the weighted PMV. The weighted PMV is expressed as the product of the number of customers and the PMV.

[0036] In step S306, the processor 12 of the monitoring center 1 executes the aggregation process of the detection table. For each period, the processor 12 of the monitoring center 1 calculates the average value of the weighted PMW as the statistical value of the comfort index for that period.

[0037] As described above, according to this embodiment, the PMV is weighted according to the number of customers present in the air-conditioned area, so that the comfort of the air-conditioner users can be evaluated in accordance with the actual situation. Embodiment 4

[0038] In this embodiment, the processor 12 of the monitoring center 1 weights the PMV according to the sum of the number of workers and the number of customers present in the air-conditioned area.

[0039] Fig. 12 is a flowchart showing the procedure for evaluating the comfort of an air conditioner in embodiment 4. The flowchart in Fig. 12 differs from the flowchart in embodiment 1 in Fig. 3 in that steps S403, S404, and S206 are provided instead of steps S103, S104, and S106, and steps S4031 and S4032 are also provided.

[0040] In step S403, the processor 12 of the monitoring center 1 detects the number of workers present in the air-conditioned area based on whether or not the communication device 4 receives radio waves from the mobile terminal 10, or whether or not the radio wave reception level is above a threshold.

[0041] In step S4031, the processor 12 of the monitoring center 1 acquires the number of customers in the air-conditioned area transmitted from the mobile terminal 10 via the communication circuit 13.

[0042] In step S4032, the processor 12 of the monitoring center 1 adds the number of workers in the air-conditioned area detected in step S403 and the number of customers in the air-conditioned area received in step S4031 to detect the number of people in the air-conditioned area.

[0043] In step S4033, the processor 12 of the monitoring center 1 calculates a weighted PMV by weighting the PMV by the number of people in the air-conditioned area.

[0044] In step S404, the processor 12 of the monitoring center 1 updates the detection table using the weighted PMV. Fig. 13 is a diagram showing an example of a detection table according to the fourth embodiment. The detection table records the PMV at the time of detection (date, time), the number of workers, the number of customers, the number of people (the sum of the number of workers and the number of customers), and the weighted PMV. The weighted PMV is expressed as the product of the number of people and the PMV.

[0045] In step S206, the processor 12 of the monitoring center 1 executes the aggregation process of the detection table. For each period, the processor 12 of the monitoring center 1 calculates the average value of the weighted PMW as the statistical value of the comfort index for that period.

[0046] As described above, according to this embodiment, the PMV is weighted by the sum of the number of workers and the number of customers in the air-conditioned area (= number of people), so the comfort of the air-conditioner users can be evaluated in accordance with the actual situation. Embodiment 5

[0047] 14 is a diagram showing the configuration of an air conditioning system according to embodiment 5. An air conditioner 2 according to embodiment 5 is provided with a human presence sensor 5. The human presence sensor 5 is configured by, for example, an infrared sensor.

[0048] In this embodiment, the processor 12 of the monitoring center 1 weights the PMV by the number of customers present in the air-conditioned area, which is obtained by subtracting the number of workers present in the air-conditioned area from the number of people present in the air-conditioned area.

[0049] Fig. 15 is a flowchart showing the procedure for evaluating the comfort of an air conditioner according to embodiment 5. The flowchart in Fig. 15 differs from the flowchart in Fig. 3 according to embodiment 1 in that steps S503, S504, and S206 are provided instead of steps S103, S104, and S106, and steps S5031 and S5032 are further provided.

[0050] In step S502, the processor 12 of the monitoring center 1 detects the number of people in the air-conditioned area based on the detection result of the human presence sensor 5 of the air conditioner 2.

[0051] In step S503, the processor 12 of the monitoring center 1 detects the number of workers present in the air-conditioned area based on whether or not the communication device 4 receives radio waves from the mobile terminal 10, or whether or not the radio wave reception level is above a threshold.

[0052] In step S5031, the processor 12 of the monitoring center 1 calculates the number of customers in the air-conditioned area by subtracting the number of workers in the air-conditioned area detected in step S503 from the number of people in the air-conditioned area detected in step S502.

[0053] In step S5032, the processor 12 of the monitoring center 1 calculates a weighted PMV by weighting the PMV by the number of customers in the air-conditioned area.

[0054] In step S504, the processor 12 of the monitoring center 1 updates the detection table using the weighted PMV. Fig. 16 is a diagram showing an example of a detection table according to the fifth embodiment. The detection table records the PMV at the time of detection (date, time), the number of people, the number of workers, the number of customers, and the weighted PMV. The weighted PMV is expressed as the product of the number of customers and the PMV.

[0055] In step S206, the processor 12 of the monitoring center 1 executes the aggregation process of the detection table. For each period, the processor 12 of the monitoring center 1 calculates the average value of the weighted PMW as the statistical value of the comfort index for that period.

[0056] As described above, according to this embodiment, the PMV is weighted by the number of people present in the air-conditioned area minus the number of workers (= number of customers), so that the comfort of customers provided by the air conditioner can be evaluated in accordance with actual conditions. Embodiment 6

[0057] In this embodiment, the processor 12 of the monitoring center 1 weights the PMV according to the number of workers by class present in the air-conditioned area.

[0058] Fig. 17 is a flowchart showing the procedure for evaluating the comfort of an air conditioner according to embodiment 6. The flowchart in Fig. 17 differs from the flowchart in Fig. 3 according to embodiment 1 in that it includes steps S603, S604, and S206 instead of steps S103, S104, and S106, and further includes step S6031.

[0059] In step S603, the processor 12 of the monitoring center 1 detects the number of workers by class present in the air-conditioned area based on whether or not the communication device 4 receives radio waves from the mobile terminal 10, or whether or not the radio wave reception level is above a threshold.

[0060] In step S6031, the processor of the monitoring center 1 calculates a weighted PMV by weighting the PMV according to the number of workers by class.

[0061] In step S204, the processor 12 of the monitoring center 1 updates the detection table using the weighted PMV. FIG. 18 is a diagram showing an example of a detection table according to the sixth embodiment. The detection table records the PMV at the time of detection (date, time), the number of workers in class 1, the number of workers in class 2, the number of workers in class 3, and the weighted PMV. The weighted PMV is expressed as the product of the number of workers n1 in class 1 and the coefficient C1 for class 1, the product of the number of workers n2 in class 2 and the coefficient C2 for class 2, and the product of the number of workers n3 in class 3 and the coefficient C3 for class 3, all times the PMV. For example, class 1 can be the executive class, class 2 the middle management class, and class 3 the general employee class, with C1 > C2 > C3.

[0062] In step S206, the processor 12 of the monitoring center 1 executes the aggregation process of the detection table. For each period, the processor 12 of the monitoring center 1 calculates the average value of the weighted PMW as the statistical value of the comfort index for that period.

[0063] As described above, according to this embodiment, the PMV is weighted according to the number of workers by class present in the air-conditioned area, so that the comfort provided by the air conditioner can be evaluated in accordance with the actual situation. Embodiment 7 FIG. 19 is a diagram showing the configuration of an air conditioning system according to the seventh embodiment.

[0064] Four air conditioners 2 are arranged in the room. Each of the four air conditioners 2 performs air conditioning in one of the air-conditioned areas ZN1, ZN2, ZN3, and ZN4.

[0065] In the seventh embodiment, the processor 12 of the monitoring center 1 detects in which of a plurality of air-conditioned areas a worker who is the owner of the mobile terminal 10 is present.

[0066] Fig. 20 is a flowchart showing the procedure for evaluating the comfort of an air conditioner according to embodiment 7. The flowchart in Fig. 20 differs from the flowchart in Fig. 3 according to embodiment 1 in that it includes steps S703 and S206 instead of steps S103 and S106, and further includes step S7031.

[0067] In step S703, the processor 12 of the monitoring center 1 identifies the air-conditioning area in which the worker carrying the mobile terminal 10 is located, using a three-point measurement method or the like, based on the reception level of radio waves from one mobile terminal 10 received by the communication devices 4 of the multiple air conditioners 2. The processor 12 of the monitoring center 1 executes this procedure for radio waves from all mobile terminals 10, thereby detecting the number of workers present in each air-conditioning area.

[0068] In step S7031, the processor of the monitoring center 1 calculates a weighted PMV by weighting the PMV by the number of workers.

[0069] In step S206, the processor 12 of the monitoring center 1 executes the aggregation process of the detection table. For each period, the processor 12 of the monitoring center 1 calculates the average value of the weighted PMW as the statistical value of the comfort index for that period.

[0070] As described above, according to this embodiment, when multiple air conditioners are installed in one room, it is possible to detect which air conditioner's air-conditioned area the worker is in, thereby making it possible to evaluate the comfort provided by the air conditioners in accordance with the actual situation. Variant.

[0071] In the above embodiment, the comfort index and the statistical value of the comfort index for the air-conditioned area of ​​each air conditioner are calculated at the monitoring center, but this is not limitative. The management device for each building may calculate these. The above-described embodiment is a specific example of the following additional notes.

[0072] (Appendix 1) A method for managing an air conditioner, comprising: calculating a comfort index for the air-conditioned area of ​​the air conditioner at a certain time; detecting the presence of a worker in the air-conditioned area of ​​the air conditioner at the certain time based on reception of radio waves transmitted from a mobile terminal carried by the worker by a communication device installed in the air conditioner; A method for managing an air conditioner, comprising a step of evaluating the comfort of the air-conditioned area of ​​the air conditioner based on the comfort index at multiple times and the detection results of the worker's presence.

[0073] (Appendix 2) The air conditioner management method of claim 1, wherein the evaluating step includes a step of evaluating the comfort of the air-conditioned area by excluding the comfort index for times when the presence of the worker was not detected.

[0074] (Appendix 3) 3. The air conditioner management method according to claim 1, wherein the evaluating step includes a step of weighting the comfort index according to the number of workers detected.

[0075] (Appendix 4) the detecting step includes a step of detecting the number of people in the air-conditioned area as the sum of the number of workers, which is the number of mobile terminals that have transmitted the radio waves received by the communication device, and the number of customers transmitted from the mobile terminals carried by the workers in the air-conditioned area; 4. The air conditioner management method according to any one of appendices 1 to 3, wherein the evaluating step comprises a step of weighting the comfort index according to the calculated number of people.

[0076] (Appendix 5) the detecting step includes a step of detecting, as the number of customers in the air-conditioned area, a number obtained by subtracting the number of mobile terminals that transmitted the radio waves received by the communication device from the number of people in the air-conditioned area detected by a human presence sensor installed in the air conditioner; 5. The air conditioner management method according to any one of appendices 1 to 4, wherein the evaluating step comprises a step of weighting the comfort index according to the calculated number of guests.

[0077] (Appendix 6) the detecting step includes a step of detecting the number of mobile terminals that have transmitted radio waves received by the communication device by class of workers who possess the mobile terminals; 6. The air conditioner management method according to any one of appendices 1 to 5, wherein the evaluating step comprises a step of weighting the comfort index depending on the number of workers for each class.

[0078] (Appendix 7) An air conditioner management method described in any one of Appendices 1 to 6, wherein the detecting step includes a step of detecting in which of multiple air-conditioned areas the worker is located based on radio waves received by the communication devices of the multiple air conditioners.

[0079] (Appendix 8) 8. The air conditioner management method according to any one of appendices 1 to 7, wherein the comfort index is PMV.

[0080] (Appendix 9) An air conditioning system comprising an air conditioner equipped with a communication device, a mobile terminal, and a monitoring center that monitors the air conditioner, The communication device of the air conditioner receives radio waves transmitted from the mobile terminal, An air conditioning system in which the monitoring center calculates a comfort index for the air-conditioned area of ​​the air conditioner at a certain time, detects the presence of a worker in the air-conditioned area of ​​the air conditioner at the certain time based on the reception of the radio waves by the communication device, and evaluates the comfort of the air-conditioned area of ​​the air conditioner based on the comfort index at multiple times and the detection results of the worker's presence.

[0081] The embodiments disclosed herein should be considered to be illustrative in all respects and not restrictive. The scope of the present invention is defined by the claims, not by the above description, and is intended to include all modifications within the meaning and scope of the claims. [Explanation of symbols]

[0082] 1 monitoring center, 2 air conditioner, 3 air intake temperature sensor, 4 communication device, 5 human presence sensor, 10 mobile terminal, 11 memory, 12 processor, 13 communication circuit.

Claims

1. A method for managing an air conditioner, comprising: calculating a comfort index for the air-conditioned area of ​​the air conditioner at a certain time; detecting the presence of a worker in the air-conditioned area of ​​the air conditioner at the certain time based on reception of radio waves transmitted from a mobile terminal carried by the worker by a communication device installed in the air conditioner; A method for managing an air conditioner, comprising a step of evaluating the comfort of the air-conditioned area of ​​the air conditioner based on the comfort index at multiple times and the detection results of the worker's presence.

2. The air conditioner management method according to claim 1 , wherein the evaluating step includes a step of evaluating the comfort of the air-conditioned area by excluding the comfort index for times when the presence of the worker was not detected.

3. The air conditioner management method according to claim 1 , wherein the evaluating step includes a step of weighting the comfort index depending on the number of the detected workers.

4. the detecting step includes a step of detecting the number of people in the air-conditioned area as the sum of the number of workers, which is the number of mobile terminals that have transmitted the radio waves received by the communication device, and the number of customers transmitted from the mobile terminals carried by the workers in the air-conditioned area; The air conditioner management method according to claim 1 , wherein the evaluating step includes a step of weighting the comfort index according to the calculated number of people.

5. the detecting step includes a step of detecting, as the number of customers in the air-conditioned area, a number obtained by subtracting the number of mobile terminals that transmitted the radio waves received by the communication device from the number of people in the air-conditioned area detected by a human presence sensor installed in the air conditioner; The air conditioner management method according to claim 1 , wherein the evaluating step includes a step of weighting the comfort index according to the calculated number of occupants.

6. the detecting step includes a step of detecting the number of mobile terminals that have transmitted radio waves received by the communication device by class of workers who possess the mobile terminals; The air conditioner management method according to claim 1 , wherein the evaluating step includes a step of weighting the comfort index according to the number of workers for each class.

7. The air conditioner management method of claim 1, wherein the detecting step includes a step of detecting in which of a plurality of air-conditioning areas the worker is located based on radio waves received by the communication devices of the plurality of air conditioners.

8. The air conditioner management method according to any one of claims 1 to 7, wherein the comfort index is PMV.

9. An air conditioning system comprising an air conditioner equipped with a communication device, a mobile terminal, and a monitoring center that monitors the air conditioner, The communication device of the air conditioner receives radio waves transmitted from the mobile terminal, An air conditioning system in which the monitoring center calculates a comfort index for the air-conditioned area of ​​the air conditioner at a certain time, detects the presence of a worker in the air-conditioned area of ​​the air conditioner at the certain time based on the reception of the radio waves by the communication device, and evaluates the comfort of the air-conditioned area of ​​the air conditioner based on the comfort index at multiple times and the detection results of the worker's presence.

Images