JP4382467B2 - Air conditioner data collection system - Google Patents

Description

  The present invention relates to an air conditioner data collection system for monitoring an air conditioner composed of an indoor unit and an outdoor unit.

An example of acquiring and processing data related to the use of an air conditioner from a remote location in order to maintain the performance of the air conditioner or prevent the air conditioner from failing in a building where the air conditioner is installed (For example, Patent Document 1).
In this case, data of the air conditioner is acquired by communication, but the communication is generally performed at time intervals. The average value of data with such a time interval can be obtained by integrating the data and dividing the integrated value by the number of data.
JP 11-337149 A

  However, when acquiring data with a time interval as described above, acquisition may fail due to a transmission error or a reception error. This is so-called data loss. When such data loss occurs, the data acquisition time interval changes, and in the method of simply dividing the integrated value of data by the number of data as described above, the obtained average value and the actual average value The difference is greatly different.

  In consideration of the above circumstances, the present invention provides highly reliable air conditioner data capable of obtaining a data average almost accurately regardless of how the data acquisition time interval from the air conditioner changes. It aims to provide a collection system.

The air conditioner data collection system of the invention according to claim 1 is a data acquisition means for acquiring air conditioner data at time intervals based on addresses unique to the air conditioner, and each of the data acquisition means acquired by the data acquisition means. A means for multiplying each data by a data time interval, and continuously multiplying these multiplication results while maintaining them regardless of an address change accompanying the relocation of the air conditioner based on an identification number unique to the air conditioner. And means for calculating an average value of each data acquired by the data acquisition means by dividing the integrated value by the operation time of the air conditioner.

  In the air conditioner data collection system of the present invention, since the previous data is treated as valid during the period from the previous data to the next data acquisition, no matter how the data acquisition time interval from the air conditioner changes, It is possible to provide a highly reliable air conditioner data collection system capable of obtaining a data average almost accurately.

[1] First embodiment
Hereinafter, a first embodiment of the present invention will be described with reference to the drawings.
As shown in FIG. 1, a center server 2 and a database (DB) server 3 are installed in the management center 1, and local servers 5a, 5b,... 5n are connected to the center server 2 via a communication network 4 such as the Internet. ing. These local servers are connected to relay interfaces (IF) 7a, 7b,... 7n through a local bus line 6. The air conditioner groups 9a, 9b,... And the centralized management remote controller 10 are connected to these relay interfaces via the air conditioner bus line 8.

  A terminal (personal computer or the like) 21 of the monitoring center 20 and a terminal (personal computer or the like) 31 of the service center 30 are connected to the center server 2 via the communication network 4.

  The air conditioner groups 9a, 9b,... Are so-called multi-type air conditioners each of which is an aggregate of indoor units and outdoor units and grouped in units of refrigeration cycles. For example, the air conditioner group 9a includes two indoor units Y1 and Y2 and one outdoor unit X. The air conditioner group 9b includes three indoor units Y1, Y2, Y3 and two outdoor units X1, X2.

  The relay interfaces 7a, 7b,... 7n collect and temporarily store data of indoor units and outdoor units connected to the air conditioner bus line 8, and the air conditioner bus line 8 and the local bus line 6 Adjust the communication speed between. Basically, data of indoor units and outdoor units are collected at a fixed time, for example, at a time interval of 1 minute.

  The local servers 5a, 5b,... 5n collect the data temporarily stored in the relay interfaces 7a, 7b,... 7n at regular intervals, for example, at intervals of 1 minute, and the collected data together with the time data i at that time. Send to. The format of data to be transmitted is shown in FIG. That is, starting from time data i, the address of the local server 5a, the code of the air conditioner group 9a, the data of the indoor unit Y1, the data of the indoor unit Y2, the data of the outdoor unit X, the code of the air conditioner group 9b, the indoor unit Y1 Data, indoor unit Y2 data, indoor unit Y3 data, outdoor unit X1 data, outdoor unit X2 data, air conditioner group 9b code, and so on. As shown in FIG. 3, the data of each device (indoor unit and outdoor unit) is as follows. In the indoor unit, the operation data (operation or stop state), unit number (type name of air conditioner), indoor temperature Ta , Set temperature Ts, indoor fan tap (fan speed), indoor heater (heater on / off state), etc., outdoor unit has operation data, machine number, outdoor temperature To, compressor current consumption value I, etc. .

The center server 2 includes the following means (1) to (6) as main functions.
(1) Data acquisition means for acquiring data of indoor units and outdoor units transmitted from the local servers 5a, 5b,... 5n at regular time intervals (1 minute intervals).
(2) Means for storing the acquired data into a database in the format shown in FIG.

(3) Means for taking in the acquired data as valid until the next data acquisition.
(4) The data “room temperature Ta”, “set temperature Ts”, and “outside air temperature To” when the indoor unit and the outdoor unit are operating are integrated among the data captured as valid. Means for obtaining the operating time of the indoor unit and the outdoor unit based on the stored data. For the indoor temperature Ta and the outside air temperature To, all data may be integrated when calculating the average value including when the device is not operating.

(5) Of the data fetched as valid, the indoor unit and the outdoor unit based on “indoor fan tap state”, “indoor heater operating state”, “outdoor unit consumption current value I”, “outdoor fan tap state” Means to find the amount of power consumption so far.
(6) Data “indoor temperature Ta” “set temperature Ts” “outside air temperature during operation of the indoor unit and the outdoor unit by dividing the integrated data by the obtained operation time periodically, for example, every month. Means for obtaining an average (time average value) of To ″.

Next, the operation of the above configuration will be described with reference to the flowchart of FIG.
At the acquisition timing every one minute (YES in Step 101), the indoor server and outdoor unit data transmitted from the local servers 5a, 5b,... 5n are acquired by the center server 2 (Step 102). The acquired data is stored in the database server 3 as a database based on time i as shown in FIG.

  Among the acquired data, the indoor unit data includes the indoor unit operation status (operation data indicating ON / OFF), the indoor unit unit number (model number), the indoor temperature Ta, the set temperature Ts, and the indoor fan tap. The state (high / medium / low / super low / stop) and the indoor heater operating state (on / off). The outdoor unit data includes the outdoor unit operating status (on / off), outdoor unit number (model number), outdoor air temperature To, outdoor unit current consumption I, outdoor fan tap status (high, medium, low, Stop). Of these, the outdoor unit consumption current value I corresponds to the operating current of the compressor (input current of the inverter).

  For each acquisition of data at the acquisition timing, it is determined whether the acquisition is successful or unsuccessful (step 103). As an example of the failure, there is a data pattern in which some data is missing and all data is not complete, such as data at 15:33:00 in the database of FIG.

  If the determination result is successful (YES in step 103), the data acquired this time is taken as valid, and among the fetched data, “indoor temperature Ta” “set temperature Ts” “ The outside air temperature To ″ is accumulated (step 104). Further, the current operation time (on time = 1 minute) of the indoor unit and the outdoor unit is obtained based on the data acquired as valid, and the operation time is integrated to thereby calculate the indoor unit and the outdoor unit. The total operating time so far is required. Further, based on the data acquired as valid, the current number of times the indoor unit and the outdoor unit are started and stopped (number of on / off switching) is obtained, and the number of times of starting and stopping is integrated, The total number of times of starting and stopping the outdoor unit so far is obtained (step 105).

  Also, if the judgment result is successful, among the data acquired as valid, “Indoor fan tap status (high / medium / low / super low / stop)” “Indoor heater operating status (on / off ) ”, The power consumption during the current operation time of the indoor unit (on time = 1 minute) is calculated, and the power consumption of the indoor unit so far is obtained from the power consumption. Further, among the data acquired as valid, the outdoor unit operating time (ON time = 1) based on the “outdoor unit current consumption value I” and “outdoor fan tap state (high / medium / low / stop)”. Power consumption in minutes) is calculated, and the power consumption amount of the outdoor unit so far is obtained from the power consumption (step 106).

  However, if the determination result is unsuccessful, that is, if data is missing (NO in step 103), the previously acquired data (data acquired one minute ago) is continuously taken as valid, and the acquisition is performed. Of the stored data, “indoor temperature Ta”, “set temperature Ts”, and “outside air temperature To” during operation are integrated (step 107). Furthermore, based on the data acquired as valid, the total operation time of the indoor unit and the outdoor unit so far is obtained as well as the above, and the overall start and stop of the indoor unit and the outdoor unit so far are determined. The number of times is determined (step 105). Similarly to the above, the power consumption of the indoor unit so far and the power consumption of the outdoor unit are determined (step 106).

  For example, looking at the data for 5 minutes from 15:30 to 15:35:00 in the database of FIG. 3, as can be seen from the graph of FIG. 5, “indoor temperature Ta when the indoor unit Y1 is in operation” The integrated value of “25 ° C. + 26 ° C. + 26 ° C. (the previous value is diverted) + 26 ° C.”. The integrated value of “set temperature Ts” during operation of the indoor unit Y1 is “25 ° C. + 25 ° C. + 25 ° C. (the previous value is diverted) + 25 ° C.”. The integrated value of the “outside air temperature To” during operation of the outdoor unit X is “29 ° C. + 30 ° C. + 30 ° C. (the previous value is diverted) + 31 ° C.”. The operating time of indoor unit Y1 is 1 minute from 15:30 to 15:31:00, 2 minutes from 15:32:00 to 15:34:00, 15:34:00 1 minute from 15:35:00 to 4 minutes. The operation time of the outdoor unit X is 5 minutes from 15:30 to 15:35:00. The number of start / stop of the indoor unit (number of on / off switching) is 2 times including 1 time at 15:31:00 and 1 time at 15:32:00.

Concerning the power consumption of indoor units, regarding the “indoor fan tap status (high, medium, low, ultra low, stopped)”, power consumption of 80W, 60W, high, medium, low, ultra low, and stop respectively. A data table defining 40 W, 30 W, and 0 W is stored in the database server 3, and the power consumption of the indoor fan is obtained from the data table. In addition, regarding the “indoor heater state (on / off)”, a data table defining power consumption 1000 W · 0 W corresponding to on / off is stored in the database server 3, and the consumption of the indoor heater is determined from the data table. Electric power is required. The sum of the “power consumption of the indoor fan” and “power consumption of the indoor heater” is calculated as the power consumption Win of the indoor unit.
Win = “Indoor fan power consumption” + “Indoor heater power consumption”
For the indoor unit Y1, looking at the data for one minute from 15:30 to 15:31:00 in the database of FIG. 3, Win = 40W (indoor fan tap; low) + 0W (indoor heater off). Become. In the data for 1 minute from 15:31:00 to 15:32:00, Win = 0W (indoor fan stop) + 0W (indoor heater off). In the data for one minute from 15:32:00 to 15:33:00, Win = 40W (indoor fan tap; low) + 0W (indoor heater off). In the data for 1 minute from 15:33:00 to 15:34:00, the data one minute before is used, so Win = 40W (indoor fan tap; low) + 0W (indoor heater off). . In the data for 1 minute from 15:34:00 to 15:35:00, Win = 60W (indoor fan tap; medium) + 0W (indoor heater off).

Therefore, the integrated value of the power consumption in units of 1 minute from 15:30:30 to 15:35:00 of the indoor unit Y1 is 40W + 0W + 40W + 40W + 60W = 180W.
By dividing the integrated value 180 W of power consumption in units of 1 minute by 60 (= unit time “1 hour” / data collection interval “1 minute”), the power consumption amount for 5 minutes of the indoor unit Y1 can be obtained. it can.
180W / 60min = 3Wh
In addition, regarding the outdoor fan tap state (high / medium / low / stop), a data table defining power consumption 100 W / 70 W / 40 W / 0 W corresponding to high / medium / low / stop is stored in the database server 3. The power consumption of the outdoor fan is obtained from the data table. From this “power consumption of outdoor fan”, outdoor unit consumption current value (compressor operating current value) I, power factor P, and power supply voltage V, the power consumption Wout of the outdoor unit can be calculated.
Wout = I × P × V + “Power consumption of outdoor fan”
As the power factor P, “0.95” is used when the compressor motor is a single-phase motor, and “0.93” is used when the compressor motor is a three-phase motor. Regardless of the model of the compressor motor, the value of the power factor P may be selected according to the rotation speed of the compressor motor or the outdoor unit consumption current value I. For example, P = 0.92 is selected when the rotational speed is less than 20 rps, P = 0.94 is selected when the rotational speed is 20 rps or more and less than 60 rps, and P = 0.96 is selected when the rotational speed is 60 rps or more. Alternatively, P = 0.92 when the outdoor unit consumption current value I is less than 5 A, P = 0.94 when the outdoor unit consumption current value I is 5 A or more and less than 12 A, and P = 0 when the outdoor unit consumption current value I is 12 A or more. .96 is selected.

As for the power supply voltage V, 200V is used as it is for a single-phase 200V, and “200V × √3” is used for a three-phase 200V.
Specifically, when the outdoor unit X is viewed with 1-minute data from 15:30 to 15:13:00 in the database of FIG. 3, Wout = 35A × P × V + 70W. In the data for 1 minute from 15:31:00 to 15:32:00, Wout = 30A × P × V + 40W. In the data for 1 minute from 15:32:00 to 15:33:00, Wout = 35A × P × V + 70W. In the 1-minute data from 15:33:00 to 15:34:00, the data one minute before is used, so Wout = 35A × P × V + 70W. In the 1-minute data from 15:34:00 to 15:35:00, Wout = 37A × P × V + 70W.

Therefore, the total power consumption of the outdoor unit X for 15 minutes from 15:30 to 15:35:00 is “(35A + 30A + 35A + 35A + 37A) × P × V + (70W + 40W + 70W + 70W + 70W)”.
By dividing the total power consumption by the unit time of 60 minutes, the power consumption amount for 5 minutes of the outdoor unit X can be obtained.
The power consumption Win of the indoor units described above is the power consumption of only the indoor fan and the indoor heater that do not take into account the air conditioning capability, and there is not much difference between the indoor units. Actually, each indoor unit exhibits a sufficient air conditioning capacity corresponding to its required capacity. The substantial power consumption Wn of each indoor unit can be obtained by the following equation that takes into account the apportioning air conditioning capacity.
Wn = (Required capacity of the indoor unit / Required capacity of all indoor units) × Wout + Win
On the other hand, when a certain period, for example, one month elapses (YES in step 108), the accumulated values of the indoor temperature Ta, the set temperature Ts, and the outside air temperature To until then are divided by the number of data accumulated so far. In this embodiment, since it is assumed that data is acquired in units of 1 minute, the integrated number of data is the same as the operating time (in minutes), and may be divided by the operating time. As a result, the average value of the indoor temperature Ta, the average value of the set temperature Ts, and the average value of the outside air temperature To are obtained as the time average value of the data during operation in the one month (step 109). These average values are reported together with the operation time so far, the number of times of starting and stopping, and the amount of power consumption. As this notification method, a report of the format shown in FIG. 6 is created (step 110). This report also includes information on the indoor unit and outdoor unit numbers and installation locations.

The created report is stored in the database server 3. Also, an e-mail with the created report attached is generated, and the e-mail is transmitted to the terminal 21 of the monitoring center 20 and the terminal 31 of the service center 30. It is also possible to transmit to a portable terminal such as a portable telephone held by a maintenance service person.
Monitors and maintenance service personnel can appropriately understand the status of each indoor unit and each outdoor unit by looking at the report attached to the received e-mail. Can be used for maintenance and inspection.

  Apart from the transmission of the e-mail, it is also possible to browse the created report by accessing the center server 2 from the terminal 21 of the monitoring center 20 or the terminal 31 of the service center 30 through the Internet. In the present invention, the previous data is treated as valid during the period from the previous data to the next data acquisition so that it can cope with data loss. In other words, since various data such as temperature, pressure, and current related to the air conditioner are basically based on the response of the heat medium (air or refrigerant in the refrigeration cycle), the change in a short time is small, and the change Is continuous in time. Therefore, there is a very high possibility that data acquired without an extremely long interval is continued at the same value thereafter. Therefore, if the previous data is treated as valid during the period from the previous data to the next data acquisition, there is no major error and almost correct results can be obtained. In addition, the set temperature is based on the user's operation, and unlike the above-mentioned data, there is no temporal continuity, but usually the user does not change the set temperature greatly, and in this case, too, If the previous data is treated as valid in the period from the previous data to the next data acquisition, there is no significant difference.

  To the report of FIG. 6, the report of “occurrence of this month” shown in FIG. 7 is also attached. When any abnormality occurs in the indoor unit and the outdoor unit, there is a function of issuing an abnormality code indicating the content of the abnormality, and the abnormality code is sent to the center server 2 in a form included in the data shown in FIG. This report, “This Month's Occurrence Warning” is created. This report also includes text information on how the monitoring staff and the maintenance service staff took actions for the abnormality.

  As mentioned above, even if data from the air conditioner is missing, it will continue until the next data can be obtained from the previous acquired data that is closest in time and likely to be close to the missing data. Therefore, the average data and power consumption such as the room temperature Ta, the set temperature Ts, and the outside air temperature To can be obtained almost accurately. Thereby, the reliability of the monitoring system for the air conditioner is greatly improved.

  By the way, as shown in the report of FIG. 6, the installation location is associated with each of the indoor unit and the outdoor unit, but it has been installed due to a change in the layout in the building or a change in the human organization. It is conceivable that the indoor unit will be relocated to another location.

  In response to the possibility of relocation, the center server 2 identifies the indoor unit and the outdoor unit by a unique device address and serial number as shown in FIG. After the relocation, the integrated value is held, and after the relocation, a process of starting integration continuously from the held integrated value is performed. This continuous integration process makes it possible to appropriately grasp the situation of the indoor unit and the outdoor unit regardless of the relocation.

In other words, the production number is a unique identification number of the device, and the device address is a number assigned to the device when configuring the network.For devices with the same production number even if the device address is changed, Accumulation can be continued by recognizing that the devices are the same. On the other hand, if the serial number is different even if the device address is the same, the device is recognized as a different device and integration is started as a new device without taking over the data of the device with the same address in the past. Note that the device address is notified once a day or only when the power of the device is inserted. In the normal communication routine, only the device address is used, and the communication data amount is reduced to reduce the communication load. Second embodiment
In the second embodiment, the indoor server and outdoor unit data transmitted from the local servers 5a, 5b,..., 5n are acquired by the center server 2 at a certain period or irregular period acquisition timing (YES in step 201). (Step 202). The acquired data is stored in the database server 3 as a database based on time i as shown in FIG.

  The acquired data is treated as valid until the next data is acquired, and the effective acquisition period of the data is a period between the acquisition of the data and the acquisition time of the next data. Of the acquired data, “indoor temperature Ta”, “set temperature Ts”, and “outside air temperature To” during operation are multiplied by the effective acquisition period of each data, and each multiplication value is integrated individually. (Step 203).

  Specifically, in the database of FIG. 3, when looking at 5 minutes from 15:30 to 15:35:00, the indoor unit Y1 is operating at the time of 15:30, The effective taking-in period of “indoor temperature Ta” during the operation is 1 minute until 15:31:00. Therefore, “room temperature Ta” × “1 minute” is obtained as a multiplication value for the room temperature Ta. The indoor unit Y1 is still operating at the time of 15:32:00, and the effective intake period of the “indoor temperature Ta” during the operation is 2 minutes until 15:34:00. Therefore, “room temperature Ta” × “2 minutes” is obtained as a multiplication value for the room temperature Ta. The indoor unit Y1 is still operating at the time of 15:34:00, and the effective intake period of the “indoor temperature Ta” during the operation is 1 minute until 15:35:00. Therefore, “room temperature Ta” × “1 minute” is obtained as a multiplication value for the room temperature Ta. These multiplication values are integrated.

  Similarly, multiplication values are integrated for “set temperature Ts” and “outside temperature To”.

  On the other hand, the current operation time (on time = 1 minute) of the indoor unit and the outdoor unit is obtained based on the data taken in as valid, and the operation time is integrated to thereby calculate the indoor unit and the outdoor unit. The total operating time so far is required. Further, the operation time of the indoor unit and the outdoor unit is obtained from operation data indicating the respective operation stop states. That is, if the operation data is operation, a time interval until the next operation data is obtained is obtained, and the time is added. If the acquired operation data is stopped, addition is stopped until operation data indicating operation is acquired, and then operation data indicating operation is acquired until the next operation data is acquired again. Find the time interval and add the times. This integrated value is the operating time of the device. Further, based on the operation data, the total number of times of starting and stopping the indoor unit and the outdoor unit so far is obtained (step 204).

  Note that the integrated value of the operation time can be calculated by integrating the stop time from the operation data and subtracting the integrated value of the stop time from the time period to be obtained. Furthermore, the time interval from the data acquisition time when the operation data is changed from the stop to the data indicating the operation to the time when the operation data indicating the next stop is acquired can be integrated.

  In addition, based on the data collected as valid, “indoor fan tap status (high / medium / low / super low / stop)” and “indoor heater operating status (on / off)”, The power consumption during the current operation time (on time = 1 minute) is calculated, and the power consumption of the indoor unit so far is determined from the power consumption. Further, among the data acquired as valid, the outdoor unit operating time (ON time = 1) based on the “outdoor unit current consumption value I” and “outdoor fan tap state (high / medium / low / stop)”. Power consumption in minutes) is calculated, and the power consumption amount of the outdoor unit so far is obtained from the power consumption (step 205).

  When a certain period of time, for example, one month elapses (YES in step 206), the integrated value of each multiplication value relating to the room temperature Ta is divided by the operation time. In this case, since the room temperature Ta is accumulated only during operation of the device, the operation time is the same as the accumulated value of the time interval between the room temperature data and the next room temperature data. In addition, when averaging including data during shutdown, the integrated value of the time interval between the room temperature data and the next room temperature data is the same as the period for calculating the average value. It may be used as a division value. The average value calculation method according to the second embodiment is particularly effective in a system that acquires data irregularly. By this division, the average value of the room temperature Ta during the operation for one month is obtained. Similarly, for the set temperature Ts and the outside air temperature To, similarly, the integrated value of the multiplication values of the time intervals between the data is divided by the operation time, and the average value for one month is obtained (step 207).

  The obtained average value is reported in the report format of the format of FIG. 6 together with the operation time so far, the number of start / stop times, and the power consumption (step 208).

As described above, even if the data acquisition time interval is constant or non-constant, the average data and power consumption such as the room temperature Ta, the set temperature Ts, and the outside air temperature To can be obtained almost accurately. This greatly improves the reliability of the monitoring system for the air conditioner.
Other configurations and techniques are the same as those in the first embodiment. In addition, the present invention is not limited to the above-described embodiments as they are, and can be embodied by modifying the constituent elements without departing from the scope of the invention in the implementation stage. In addition, various inventions can be formed by appropriately combining a plurality of components disclosed in the embodiment. For example, some components may be deleted from all the components shown in the embodiment.

The block diagram which shows the structure of 1st Embodiment of this invention. The block diagram which shows the format of the transmission data in 1st Embodiment. The figure which shows the format of the database of the acquisition data in 1st Embodiment. The flowchart for demonstrating the effect | action of 1st Embodiment. The figure which shows the specific example of the data acquisition in 1st Embodiment. The figure which shows the format of the report in 1st Embodiment. The figure which shows the format of the report called "this month generation | occurrence | production warning" in 1st Embodiment. The figure for demonstrating the continuation of the integration | accumulation at the time of apparatus transfer in 1st Embodiment. The flowchart for demonstrating the effect | action of 2nd Embodiment.

Explanation of symbols

  DESCRIPTION OF SYMBOLS 1 ... Management center, 2 ... Center server, 3 ... Database server, 4 ... Communication network, 5a, 5b, ... 5n ... Local server, 6 ... Local bus line, 7a, 7b, ... 7n ... Relay interface, 8 ... Air conditioner bus line, 9a, 9b, ... air conditioner group, 10 ... centralized remote control, Y1, Y2, Y3 ... indoor unit, X, X1, X2 ... outdoor unit, 20 ... monitoring center, 21 ... terminal, 30 ... Service center, 31 ... terminal

Claims (4)

Data acquisition means for acquiring air conditioner data at time intervals based on addresses unique to the air conditioner ;
Means for multiplying each data by the time interval of each data acquired by the data acquisition means ;
Means for continuously multiplying these multiplication results while maintaining them regardless of the address change accompanying the relocation of the air conditioner based on the identification number unique to the air conditioner;
A calculation means for calculating an average value of each data acquired by the data acquisition means by dividing the integrated value by the operation time of the air conditioner;
An air conditioner data collection system characterized by comprising: Data acquisition means for acquiring air conditioner data at time intervals based on addresses unique to the air conditioner ;
Storage means for storing each data acquired by the data acquisition means together with the time of acquisition;
Means for Ru determined from each time point of the same storage means a time interval of acquisition of each data in the storage means,
Means for multiplying each corresponding data by the obtained time interval ;
Means for continuously multiplying these multiplication results while maintaining them regardless of the address change accompanying the relocation of the air conditioner based on the identification number unique to the air conditioner;
A calculation means for calculating an average value of each data in the storage means by dividing the integrated value by the operation time of the air conditioner;
An air conditioner data collection system characterized by comprising: The obtaining means obtains the time interval of acquisition of each data in the storage means from each time in the storage means as an effective capture period,
The multiplying unit multiplies each corresponding data by the obtained effective capture period,
The air conditioner data collection system according to claim 2 . The air conditioner data collection system according to claim 1 or 2, wherein the air conditioner data includes an indoor temperature, a set temperature, and an outside air temperature.

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