JP4697179B2 - Air conditioning monitoring support device and air conditioning monitoring support system - Google Patents

Description

  The present invention relates to an air conditioning monitoring support device and an air conditioning monitoring support system, and more particularly to an air conditioning monitoring support device and an air conditioning monitoring support system for acquiring and monitoring air conditioner data related to an air conditioner.

  2. Description of the Related Art Conventionally, a system for acquiring set temperature data, power consumption data, operation mode data, and the like of an air conditioner when monitoring the air conditioner is known.

  For example, as a system for monitoring abnormal data generated in an air conditioner, there is a monitoring system described in Patent Document 1 shown below. In this monitoring system, when an abnormality occurs in the air conditioner, the content of the abnormality including the abnormality occurrence information and the latest operating state information is transmitted from the monitoring device that monitors the air conditioner to the remote monitoring device. . Then, the transmitted abnormality content is stored in the operation information database in the remote monitoring device and accumulated as needed. As a result, the local service person communicates via the Internet using the mobile terminal that he / she holds, and extracts the driving state information from the last 30 minutes before the present out of the abnormal contents in the driving information database. It is possible to quickly respond to the occurrence of abnormalities.

That is, in this monitoring system, processing for extracting driving state information in a predetermined latest time zone from data stored in the driving information database is performed.
JP 2004-226062 A

  As described above, in the monitoring system described in Patent Document 1 described above, the content of the abnormality that has occurred in the air conditioner is identified more quickly by the process of extracting the operating state information in a predetermined latest time zone.

  However, in the above-described monitoring system, when monitoring the power consumption according to the operation status of the air conditioner, even if data is extracted by focusing only on the time zone, data useful for analysis is not obtained. It cannot be said that it can be extracted. In other words, even if the operating state information is simply extracted from the enormous amount of data stored in the database, the data that is useful in monitoring the power consumption cannot be extracted. There is.

  On the other hand, in order to monitor the power consumption, a huge amount of data stored in the database is individually processed, judged, and analysis work is performed. Data that does not make sense or data that does not make sense in some cases may be confused and exist, which causes a lot of useless processing and is not efficient.

  The present invention has been made in view of the above points, and an object of the present invention is to provide air-conditioning monitoring support that can make data analysis work more efficient when monitoring power consumption data related to an air conditioner. It is to provide an apparatus and an air conditioning monitoring support system.

  An air conditioning monitoring support device according to a first aspect of the present invention is an air conditioning monitoring support device that supports monitoring of air conditioner data related to the operating status of a plurality of air conditioners, and includes an air conditioner data memory, an extraction unit, and an output unit. I have. The air conditioner data memory stores air conditioner data including data on power consumption and outside air temperature in a predetermined unit period selected from a period including at least one day and one month as a meaningful length period to be compared with each other. Each predetermined unit period is associated with each. The extraction unit classifies the air conditioner data that the air conditioner data memory has based on the data related to the corresponding outside air temperature, and for each power consumption amount that the air conditioner data memory has for each section, Summarize at least one of the maximum value or its neighborhood value, the minimum value or its neighborhood value, the median value or its neighborhood value, and the average value or its neighborhood value with a predetermined unit period corresponding to each corresponding air conditioner. And extracted as extracted air conditioner data. The output unit outputs the extracted air conditioner data. Further, the output here includes display output on a display or the like, transfer of data to another analytical instrument, and the like.

  Here, only the characteristic power consumption is classified based on the data regarding the outside air temperature, extracted as extracted air conditioner data, and output.

  As a result, the amount of data is extracted and the amount of data is reduced, so the load of data processing in air conditioner monitoring can be suppressed, and characteristic power consumption can be monitored by paying attention to air conditioner data. It becomes possible, and it becomes possible to reduce processing load.

  The air conditioning monitoring support device according to a second aspect of the present invention is the air conditioning monitoring support device according to the first aspect of the present invention, wherein the classification based on the data relating to the outside air temperature is a holiday data out of each power consumption amount possessed by the air conditioner data memory. For data excluding, data value related to the minimum ambient power consumption in relation to the data related to the outside air temperature, or a classification based on the value of the data related to the outside air temperature or its neighborhood value, or a predetermined value related to the outside air temperature One of the categories.

  In order to monitor the air conditioner, even if the power consumption is the same, the classification based on the data regarding the outside air temperature, for example, the classification of the cooling operation mode or the heating operation mode is determined. There is a need. Here, in order to refrain from any operation of cooling and heating at a comfortable temperature, the minimum power consumption of the power consumption is determined by assuming that neither the power consumption by cooling nor the power consumption by heating is increased. Is determined according to a classification based on a value of data related to the outside air temperature or a value near the value, or a classification based on a predetermined value related to the outside air temperature.

  This makes it possible to automatically and accurately determine the operating state of the air conditioner even when the power consumption is the same.

  The air conditioning monitoring support device according to a third aspect of the present invention is the air conditioning monitoring support device of the first or second aspect, wherein the data relating to the outside air temperature includes the outside air temperature, the outdoor discomfort index, and the outdoor air during the predetermined unit period. It is at least one of enthalpies.

  Here, even when data indicating that power consumption is equivalent are obtained, the operating status of the air conditioner depends on one of the outside air temperature, the outdoor discomfort index, and the enthalpy of outdoor air. It becomes possible to clearly distinguish the differences.

  An air conditioning monitoring support device according to a fourth aspect of the present invention is the air conditioning monitoring support device according to any of the first to third aspects of the present invention, further comprising a position data memory storing position data relating to the installation position for each air conditioner. Yes. The output unit displays the extracted air conditioner data in association with the position data. Here, an output by a list display in which extracted air conditioner data is simply compared with position data is included.

  Here, it becomes possible to easily grasp the position where the air conditioner of the extracted air conditioner data is provided.

  An air conditioning monitoring support device according to a fifth aspect of the present invention is the air conditioning monitoring support device of the fourth aspect of the invention, wherein the position data includes floor data about the floor where the air conditioner is installed. In addition, the output unit displays the extracted air conditioner data and the air conditioner position data of at least other air conditioner data that are adjacent to each other among the air conditioners that have the same floor data as the air conditioner of the extracted air conditioner data. Display in a layout associated with the floor data.

  Here, the extracted air conditioner data is displayed and output so as to correspond to the floor data including other air conditioners that reflect the positional relationship with the air conditioners that are adjacent to the positions where they are actually deployed. The position of the air conditioner in the extracted air conditioner data can be easily grasped visually.

  The air conditioning monitoring support device according to a sixth aspect of the present invention is the air conditioning monitoring support device of the fifth aspect, wherein the output unit differs in the display mode of the display portion of the extracted air conditioner data and the display portion of each other air conditioner data. The difference in display mode here includes, for example, a difference in visual effect such as a difference in color and a floating appearance.

  Here, since the display mode of the display part of the extracted air conditioner data is different from the display mode of the display part of each air conditioner data, it becomes possible to easily recognize the characteristic data visually.

  The air conditioning monitoring support device according to a seventh aspect of the present invention is the air conditioning monitoring support device of the sixth aspect, wherein the output unit is a classification based on data relating to the outside air temperature of the air conditioner in the extracted air conditioner data, or an outdoor unit system of the air conditioner The display mode of the air conditioner data is changed according to at least one of the above.

  Here, since the display mode is changed according to the classification based on the data relating to the outside air temperature or the difference in the outdoor unit system, the monitoring result of each air conditioner can be grasped in more detail.

  An air conditioning monitoring support device according to an eighth aspect of the present invention is an air conditioning monitoring support device that supports monitoring of air conditioner data related to the operating status of a plurality of air conditioners, and includes an air conditioner data memory, a cooling / heating determination unit, an extraction unit, And an output unit. The air conditioner data memory stores air conditioner data including data on power consumption and outside air temperature in a predetermined unit period selected from a period including at least one day and one month as a meaningful length period to be compared with each other. Each predetermined unit period is associated with each. The cooling / heating determination unit, for the air conditioner data stored in the air conditioner data memory, except for the holiday data, the data on the outside air temperature corresponding to the minimum power consumption that is the minimum in relation to the outside air temperature data. If the value of the data related to the outside air temperature is larger than the threshold, the cooling operation mode is set. If the value of the data related to the outside air temperature is smaller than the threshold, the heating operation mode is set. The operation mode is determined as being present. The extraction unit classifies the air conditioner data stored in the air conditioner data memory based on the corresponding operation mode, and sets the maximum value among the power consumption amounts included in the air conditioner data memory for each section. Alternatively, at least one of the neighborhood value, the minimum value or the neighborhood value thereof, the median value or the neighborhood value thereof, and the average value or the neighborhood value thereof is extracted together with a predetermined unit period corresponding to the corresponding air conditioner. Extracted as air conditioner data. The output unit outputs the extracted air conditioner data.

  Here, only the characteristic power consumption is classified based on the data related to the outside air temperature, extracted as extracted air conditioner data, and also output for the classification of the cooling operation mode or the heating operation mode. Yes.

  As a result, the amount of data is extracted and the amount of data is reduced, so it is possible to reduce the data processing load in air conditioner monitoring, and focus on air conditioner data that is classified into operation modes for characteristic power consumption. Can be monitored.

  An air conditioning monitoring support device according to a ninth aspect of the present invention is an air conditioning monitoring support device that supports monitoring of air conditioner data related to the operation status of a plurality of air conditioners, comprising an air conditioner data memory, an extraction unit, and an output unit. I have. The air conditioner data memory stores the air conditioner data including the power consumption and the cooling / heating operation mode in a predetermined unit period selected from a period including at least one day and one month as a meaningful length period to be compared with each other. Each predetermined unit period is associated with each. The extraction unit converts the air conditioner data stored in the air conditioner data memory into the cooling operation mode and the heating operation mode in each predetermined unit period, or the cooling operation mode and the heating operation mode within the same predetermined unit period. While categorizing into at least one of the cases where both operation modes are executed, among the power consumption amounts that the air conditioner data memory has for each category, the maximum value, its neighborhood value, the minimum value, or At least one of the neighborhood value, the median value or the neighborhood value thereof, and the average value or the neighborhood value thereof is extracted as extracted air conditioner data together with a predetermined unit period corresponding to the corresponding air conditioner. The output unit outputs the extracted air conditioner data.

  Here, only the characteristic power consumption is classified based on the data regarding the outside air temperature, extracted as extracted air conditioner data, and output. Here, the operation mode of the air conditioner is recorded in the air conditioner data memory, and is known beforehand.

  As a result, since data is extracted and the amount of data is reduced, the load of data processing in air conditioner monitoring can be suppressed, and characteristic power consumption can be achieved without performing processing for identifying the operation mode. It becomes possible to monitor by paying attention to the air conditioner data classified into the operation modes.

  The air conditioning monitoring support device according to a tenth aspect of the present invention is the air conditioning monitoring support device of the ninth aspect, further comprising an operation mode reception unit for receiving data relating to the cooling / heating operation mode of the air conditioner data memory from the outside. And the air-conditioner data memory air-conditioning operation mode is stored based on the data received by the reception unit. The operation mode may be, for example, data for inputting either cooling or heating, or data on the detected refrigerant temperature of the indoor heat exchanger.

  Here, since the data of the operation mode of air conditioning can be obtained directly, the determination process of an operation mode becomes unnecessary.

  An air conditioning monitoring support device according to an eleventh aspect of the present invention is the air conditioning monitoring support device according to any of the first to tenth aspects of the invention, wherein the predetermined unit period is 24 hours.

  Here, information on the outside air temperature that changes in accordance with the movement of the sun can be reflected in the monitoring, and such a change can be analyzed on a daily basis.

  An air conditioning monitoring support system according to a twelfth aspect of the present invention is an air conditioning monitoring support system for supporting monitoring of an air conditioner, and includes a plurality of air conditioners, an air conditioner data acquisition unit, an extraction unit, and an output unit. I have. The air conditioner data acquisition unit includes data on power consumption and outside air temperature in a predetermined unit period selected from a period including at least one day and one month as a period of meaningful length to be compared with each other from a plurality of air conditioners. The air conditioner data is acquired separately for each predetermined unit period in association with each air conditioner. The extraction unit divides the air conditioner data acquired by the air conditioner data acquisition unit based on the data related to the corresponding outside air temperature, and among the power consumption amounts of the air conditioner data memory for each category, At least one of a value or its neighborhood value, a minimum value or its neighborhood value, a median value or its neighborhood value, and an average value or its neighborhood value, and a predetermined unit period corresponding to each corresponding air conditioner Extracted as extracted air conditioner data. The output unit outputs the extracted air conditioner data.

  Here, only the characteristic power consumption is classified based on the data regarding the outside air temperature, extracted as extracted air conditioner data, and output.

  As a result, the amount of data is extracted and the amount of data is reduced, so the load of data processing in air conditioner monitoring can be suppressed, and characteristic power consumption can be monitored by paying attention to air conditioner data. It becomes possible.

  An air conditioning monitoring support device according to a thirteenth aspect of the present invention is an air conditioning monitoring support device that supports monitoring of air conditioner data relating to the operating status of a plurality of air conditioners, and includes an air conditioner data memory, an extraction unit, and an output unit. ing. The air conditioner data memory associates air conditioner data including power consumption in a predetermined unit period selected from a period including at least one day and one month as a meaningful length of period for each air conditioner. It has every predetermined unit period. The extraction unit classifies a plurality of power consumption amounts having a predetermined relative characteristic among the air conditioner data included in the air conditioner data memory for each predetermined long period. Here, the predetermined long period is a period obtained by multiplying the length of the predetermined unit period by a natural number. And the extraction part is the maximum value or its neighborhood value, the minimum value or its neighborhood value, the median value or its neighborhood value, and the average value among the power consumption amounts that the air conditioner data memory has for each category. Alternatively, at least one of the neighborhood values is grouped with a predetermined unit period corresponding to each corresponding air conditioner, and is extracted for each predetermined long period and extracted as extracted air conditioner data. The output unit arranges and outputs the extracted air conditioner data every predetermined long period. Further, the output here includes display output on a display or the like, transfer of data to another analytical instrument, and the like.

  Here, the extraction unit performs a predetermined long-term only for a plurality of characteristic power consumption amounts from the air conditioner data for each predetermined unit period associated with each air conditioner stored in the air conditioner data memory. Extracted every time. In addition, the extraction unit extracts the air conditioner data as the power consumption for each predetermined unit period associated with each air conditioner for each predetermined long period. The output unit outputs the air conditioner data extracted while being classified by the extraction unit.

  As a result, the amount of data to be processed is reduced by extracting the air conditioner data, so the data processing load in air conditioner monitoring can be reduced, and the air conditioner data is focused on the characteristic power consumption. Can be monitored.

  In addition, by filtering the huge amount of air conditioner data acquired for air conditioners and extracting only the air conditioner data with features, the data volume to be processed is reduced, reducing the reliability of data analysis. It is possible to reduce the burden of data processing while suppressing the problem.

  In the output from the output unit, since the air conditioner data is divided every predetermined long period and arranged and output every predetermined long period, it is possible to perform data analysis on the relationship between before and after the predetermined long period. It becomes possible.

  An air conditioning monitoring support device according to a fourteenth aspect of the present invention is an air conditioning monitoring support device that supports monitoring of air conditioner data relating to the operating status of a plurality of air conditioners, and includes an air conditioner data memory, an extraction unit, and an output unit. ing. The air conditioner data memory associates air conditioner data including power consumption in a predetermined unit period selected from a period including at least one day and one month as a meaningful length of period for each air conditioner. It has every predetermined unit period. The extraction unit classifies the air conditioner data included in the air conditioner data memory according to a predetermined comfort category. The predetermined comfort category here relates to a predetermined comfort determination. And the extraction part is the maximum value or its neighborhood value, the minimum value or its neighborhood value, the median value or its neighborhood value, and the average value among the power consumption amounts that the air conditioner data memory has for each category. Alternatively, at least one of the neighboring values is extracted as extracted air conditioner data together with a predetermined unit period corresponding to each corresponding air conditioner. The output unit outputs the extracted air conditioner data. Further, the output here includes display output on a display or the like, transfer of data to another analytical instrument, and the like.

  Here, the extraction unit classifies only a plurality of characteristic power consumption amounts according to the predetermined comfort category from the air conditioner data associated with each air conditioner stored in the air conditioner data memory. Extracted. Moreover, the extraction unit extracts a plurality of power consumption amounts having a predetermined characteristic for each of the sections divided according to the predetermined comfort section, and puts together a predetermined unit period corresponding to the corresponding air conditioner. Each is extracted as extracted air conditioner data. And an output part outputs the air conditioning machine data extracted by the extraction part.

  As a result, the amount of data to be processed is reduced by extracting the air conditioner data, so the data processing load in air conditioner monitoring can be reduced, and the air conditioner data is focused on the characteristic power consumption. Can be monitored.

  In addition, by filtering the huge amount of air conditioner data acquired for air conditioners and extracting only the air conditioner data with features, the data volume to be processed is reduced, reducing the reliability of data analysis. It is possible to reduce the burden of data processing while suppressing the problem.

  In the output from the output unit, since the air conditioner data is divided and output according to the predetermined comfort category, it is possible to perform data analysis on the relationship for each predetermined comfort category.

  An air conditioning monitoring support device according to a fifteenth aspect of the present invention is the air conditioning monitoring support device according to the fourteenth aspect of the present invention, wherein the predetermined comfort category has a predetermined degree of deviation between the set temperature of the air conditioner and the suction temperature during a predetermined unit period. It is a category that is divided according to the frequency of the degree.

Here, by using the frequency at which the degree of deviation between the set temperature and the suction temperature is greater than or equal to a predetermined level as an index, it becomes possible to classify the comfort-related categories in more detail .

  In the air conditioning monitoring support device according to the first aspect of the present invention, since the data is extracted and the amount of data is reduced, the data processing load in the monitoring of the air conditioner can be suppressed, and the characteristic power consumption is included in the air conditioner data. It becomes possible to monitor with attention.

  In the air conditioning monitoring support device of the second invention, it is possible to automatically and accurately determine the operating state of the air conditioner even when the power consumption is the same.

  In the air conditioning monitoring support device according to the third aspect of the present invention, it is possible to clearly determine that the operation status of the air conditioner is different even when data indicating that the power consumption is equal is obtained.

  In the air conditioning monitoring support device according to the fourth aspect of the present invention, it is possible to easily grasp the position where the air conditioner of the extracted air conditioner data is deployed.

  In the air conditioning monitoring support device of the fifth invention, the position of the air conditioner in the extracted air conditioner data can be easily grasped visually.

  With the air conditioning monitoring support device of the sixth aspect of the invention, it becomes possible to easily grasp the position of the air conditioner in the extracted air conditioner data visually.

  With the air conditioning monitoring support device of the seventh aspect, it becomes possible to make it easy to visually recognize characteristic data.

  In the air conditioning monitoring support device according to the eighth aspect of the invention, since the data amount is extracted and the data amount is reduced, the data processing load in the air conditioner monitoring can be suppressed, and the characteristic power consumption amount is classified into operation modes. It becomes possible to monitor paying attention to the air conditioner data.

  In the air conditioning monitoring support device according to the ninth aspect of the invention, since the data is extracted and the amount of data is reduced, the data processing load in the monitoring of the air conditioner can be suppressed, and without performing the process of identifying the operation mode, It becomes possible to monitor the characteristic power consumption by paying attention to the air conditioner data classified into the operation modes.

  In the air conditioning monitoring support device of the tenth aspect of the invention, data on the operation mode of air conditioning can be obtained directly, so that determination processing of the operation mode is not necessary.

  With the air conditioning monitoring support device of the eleventh aspect of the invention, information on the outside air temperature that changes in accordance with the movement of the sun can be reflected in the monitoring, and such changes can be analyzed on a daily basis.

  In the air conditioning monitoring support system according to the twelfth aspect of the present invention, it is possible to automatically and accurately determine the operating state of the air conditioner even when the power consumption is the same.

  In the air conditioning monitoring support system according to the thirteenth aspect of the present invention, it is possible to perform data analysis on the relationship before and after a predetermined long period.

  In the air conditioning monitoring support system according to the fourteenth aspect of the present invention, it is possible to perform data analysis on the relationship for each predetermined comfort category.

In the air conditioning monitoring support system according to the fifteenth aspect of the present invention, it is possible to classify the comfort-related categories in more detail by using the frequency at which the degree of deviation between the set temperature and the suction temperature is a predetermined level or more as an index .

<Schematic configuration of air conditioning monitoring support system>
FIG. 1 shows a block diagram of an air conditioning monitoring support system 100 in which an embodiment of the present invention is adopted.

  The air-conditioning monitoring support system 100 is a system that acquires data such as the operating state and operating status of an air conditioner, performs certain processing on the acquired data to monitor the air conditioner, and visualizes data related to the air conditioner. is there.

  The air conditioning monitoring support system 100 includes a monitoring device 10 and air conditioners 70 and 80, which are monitored by the monitoring device 10, respectively.

  The monitoring device 10 includes a data processing unit 20, a memory 30, a display unit (output unit) 40 such as a display, a communication unit 50 such as a communication interface, a keyboard 51, a mouse 52, and the like.

  The data processing unit 20 reads the data in the memory 30 and performs data processing such as operation state determination processing, data extraction processing, and display processing.

  The memory 30 includes position data indicating the position where the air conditioners 70 and 80 are deployed, grouping data obtained by grouping the air conditioners 70 and 80 having a continuous relationship with each other, Layout data and the like for each floor of the building where the air conditioners 70 and 80 are deployed are recorded in advance. Position data and grouping data are recorded in association with the air conditioner for each air conditioner.

  And the memory 30 has recorded the air-conditioning state data which are the data for every day of each air conditioner. In this memory 30, data on the operating status and operating state of the air conditioners 70 and 80, power consumption data of each air conditioner 70 and 80, outside air temperature data, and the like are acquired from the air conditioners 70 and 80 via the communication unit 50. And record each. Regarding the operation mode data, it is determined whether the data processing unit 20 is in the cooling operation mode or the heating operation mode with respect to the operation mode of the air conditioners 70 and 80 based on the outside air temperature data and the power consumption data stored in the memory 30. The operation mode data is recorded in the memory 30 for each air conditioner.

  The display unit 40 outputs each display as shown in FIGS. 2, 3, 4, and 6 according to the processing from the data processing unit 20 based on the data recorded in the memory 30. For example, the display unit 40 can display the air conditioning state data of a certain air conditioner for one day as a graph by the display processing by the data processing unit 20 as shown in FIG. Here, the line graph shows the transition of the suction temperature, and the bar graph shows the power consumption and the operation mode. Here, the cooling operation is displayed without being painted, and the heating operation is displayed with being painted so that the difference between the two operation modes can be visually grasped clearly. The suction temperature means the temperature of the air sucked in the indoor unit of the air conditioner, and is controlled so that the indoor temperature is maintained at the set temperature when the air conditioner starts the cooling operation from about 11:00. Here, an example is shown in which both the cooling operation and the heating operation occur simultaneously as the daily operation mode in order to maintain the room temperature at the set temperature. In addition, although not shown in figure as air-conditioning state data, data, such as the operating time of an indoor unit, thermo-ON time (time which flowed the refrigerant | coolant in order to perform air conditioning) other than this, can be mentioned.

  Here, in the monitoring device 10, data input and data selection by the keyboard 51 and the mouse 52 are possible for the display on the display unit 40. For example, in FIG. 4, data selection is possible by operating the cursor with the mouse 52 so that “sixth floor office room” of a plurality of floors is displayed based on the memory 30.

  The air conditioners 70 and 80 have a plurality of air conditioners 71, 72, 73, 81, 82, 83, 84, and 85 (see FIG. 5), and each air conditioner is a monitoring device via the communication unit 50. 10 is communicable. Among these, the air conditioner 70 is comprised by the air conditioners 71-73, as shown in FIG. 5, and is recorded on the grouping data of the memory 30 as the same group arrange | positioned by the 6th-floor office R70 which is continuous space. Yes. These air conditioners 71 to 73 are connected to the same outdoor unit and have the same air conditioning system relationship.

  Moreover, the air conditioner 80 is comprised by the air conditioners 81-85, as shown in FIG. 5, and is recorded on the grouping data of the memory 30 as the same group arrange | positioned in 6th-floor office R80 which is continuous space. Yes. These air conditioners 81 to 85 are also connected to the same outdoor unit and have the same air conditioning system relationship.

  As shown in FIG. 5, the 6th floor office room R70 and the 6th floor office room R80 are treated as relationships that are not in the same group in the grouping data because the spatial continuity is interrupted by the stairs and the walls.

<Monitoring of air conditioners>
As described above, the monitoring apparatus 10 acquires air conditioner data from the air conditioners 70 and 80 via the communication unit 50.

(Acquisition of outside temperature data and power consumption data)
Specifically, the monitoring device 10 acquires outside air temperature data and power consumption data from the air conditioners 70 and 80 for each air conditioner 70 and 80 and records them in the memory 30. Here, as for these outside air temperature data and power consumption data, data for each day is acquired for each air conditioner.

(Driving condition judgment process)
The data processing unit 20 forms a graph in which the outside air temperature data and the power consumption data recorded in the memory 30 correspond to each other as shown in FIG. 3 (if it is performed as data processing, it is sufficient to actually display the data. There is no need to output). Here, the outside air temperature data is a representative value (for example, an average value, a maximum value, and a minimum value) at a predetermined time (for example, 24 hours), and the power consumption data is an integrated value (for example, an average value) in the same time zone. May be). The power consumption data is based on the total value of the entire building, but may be the total value for each floor. In addition, here, the data processing unit 20 excludes the air conditioner state data on the day when the power consumption is extremely low as being a holiday data from the monitoring target. The exclusion process here may be directly input to the monitoring apparatus 10 by a human via the mouse 52 or the like.

  Then, as shown in FIG. 3, the data processing unit 20 plots the X-axis as the outside air temperature and the Y-axis as the power consumption amount among the remaining data after deleting the holiday data as described above. Create a graph. In this case, the data processing unit 20 obtains an approximate expression as a relational expression of Y = aX2 + b (a and b are arbitrary numbers), and the value of the X coordinate corresponding to the minimum value (power consumption) of the Y coordinate ( Obtain the outside air temperature. As another method, an X seat amount value (outside air temperature) at which the secondary differential amount becomes 0 may be obtained.

  Then, based on the outside air temperature (15 ° C. here) obtained in this way, the data processing unit 20 uses the power consumption in the cooling operation mode when the outside air temperature is higher than the reference for one day. Judge that there is.

  Similarly, the data processing unit 20 determines that the amount of power consumed in the heating operation mode is when the low outside air temperature continues for a day. Here, when both the cooling operation mode and the heating operation mode are executed within one day, such as by straddling the reference temperature multiple times, the data processing unit 20 determines that the cooling / heating simultaneous operation mode is set. To do. Then, the data processing unit 20 associates the determined operation mode such as air conditioning with the power consumption data, and records it in the memory 30 as “operation mode data” which is data for each air conditioner every day. Let

(Data extraction process)
In the extraction process in the data processing unit 20, as shown in FIG. 3, three characteristic data of the maximum value, median value, and minimum value of power consumption in the cooling operation mode are extracted as representative data. Similarly, the data processing unit 20 extracts three characteristic data of the maximum value, the median value, and the minimum value of the power consumption amount for the power consumption amount in the heating operation mode and the power consumption amount in the cooling and heating simultaneous operation mode. To do.

(Display processing)
Here, the data processing unit 20 displays the data extracted by the extraction processing on the display unit 40 as shown in FIG. 4, assuming that the data is the representative day of the data for one year (365 days). Let Here, for each of the cooling operation day, the heating operation day, and the cooling and heating simultaneous operation day, it is divided into a high load corresponding to the maximum value of power consumption, a medium load corresponding to the median value, and a low load corresponding to the minimum value, Display processing is performed for each floor.

  In the display unit 40, the display can be designated by moving the cursor to the data display on the day desired to be monitored with the mouse 52 or the like from the display shown in FIG. Here, for example, when the data processing unit 20 receives a display designation for the “high load” air conditioner 81 of “the date of simultaneous occurrence of cooling and heating”, the air conditioner 81 is provided as illustrated in FIG. 6. The layout display data of the air conditioning state data of the air conditioners 70 and 80 in the “6th floor office” is created and displayed on the display unit 40. In this layout display, the data processing unit 20 records in the memory 30 data on the same floor as the 6th floor office where the “high load” air conditioner 81 on the “day of simultaneous heating and cooling” is provided. Each air conditioner is identified with reference to the layout data of the air conditioners 71, 72, 73, 81, 82, 83, 84, 85, and the corresponding air conditioners are graphed. Display status data.

  As shown in FIG. 6, in the display processing of the data processing unit 20, the display mode inside the graph of the air conditioning state data of the air conditioner 81 having a large power consumption and a high load is changed to the other air conditioners 71, 72, Different from the display mode inside the graph of the air conditioning state data 73, 82, 83, 84, 85, it is displayed on the display unit 40 by applying color or the like.

  Furthermore, as shown in FIG. 6, the display mode around the graph of the air conditioners 71, 72, 73 deployed in the 6th floor conference room R70 is changed to the air conditioners 81, 82, 83, deployed in the 6th floor conference room R80. 84 and 84 are displayed differently from the display mode around the graph (only the air conditioner 70 is colored inside the frame for each air conditioner and outside the graph). Here, the display mode is also different for the air conditioning system of the outdoor unit.

  Then, based on the position data, grouping data, and operation mode data in the memory 30, the data processing unit 20 is adjacent based on the position data in the same group in which the air conditioners having different operation modes of the air conditioners are spatially continuous. To determine whether it exists. Here, as shown in FIG. 6, in the data processing unit 20, the air conditioner 83 is in a state different from the operation mode of the surrounding air conditioners 82, 84, 85 from 19:00 to 24:00, and the mixing loss It is determined that the air conditioner is likely to have occurred, and special display is performed (only the air conditioner 83 is colored on the display portion of the graph).

<Characteristics of the air-conditioning monitoring support system according to this embodiment>
(1)
In the air conditioning monitoring support system 100 of the present embodiment, for the air conditioners 70 and 80, for example, from a huge amount of air conditioning state data for one year and 365 days, as shown in FIGS. Extracting air condition data for representative days. By this extraction process, the amount of data to be processed in the monitoring of the air conditioners 70 and 80 can be reduced. Therefore, the load of data processing in the monitoring of the air conditioners 70 and 80 is suppressed, and simple and quick processing is performed. be able to.

  In addition, the data processing unit 20 performs extraction processing to obtain relatively characteristic data such as the maximum value, median value, minimum value, minimum value, maximum value, etc. of the power consumption, as shown in FIG. Extracting. Thereby, in monitoring of the air conditioners 70 and 80, it is possible to monitor by focusing attention on air conditioner data of a relatively characteristic power consumption amount instead of targeting all data. For example, as shown in FIG. 6, the air conditioner 81 with a large amount of power consumption is displayed in a different form from the surrounding air conditioners 82, 84, etc., so that characteristic data can be easily grasped. be able to.

  Here, by obtaining characteristic data output by the air conditioning monitoring support system 100, for example, on a high load day, it is possible to estimate the deployment position of the air conditioner that is greatly affected by the outside air load, and the outside air introduction amount It can be grasped that measures such as adjusting the heat resistance and strengthening the heat insulation of the building are taken. In addition, if the power consumption is large and the degree of deviation between the set temperature and suction temperature is large, location data for air conditioners with inadequate air conditioning capabilities can be obtained. You can figure out what to do. Furthermore, it can be understood from the data on the middle and low load days that it is estimated whether internal heat is generated from the office equipment or the like, and measures such as cooling the outside air are taken. And it can grasp | ascertain that measures, such as adjustment of preset temperature and a change of the installation position of a temperature sensor, are taken from the data on the air-conditioning simultaneous occurrence date.

(2)
In the air conditioning monitoring support system 100 according to the present embodiment, since the operation of cooling and heating is refrained when the temperature is a comfortable temperature, it is determined on the premise that neither the power consumption due to cooling nor the power consumption due to heating increases. The processing unit 20 determines whether the operation mode is the cooling operation mode or the heating operation mode even when the power consumption data is the same. Thereby, even if it is a case where power consumption is equivalent, determination of the operation mode of air conditioning can be performed automatically more correctly.

(3)
In the air conditioning monitoring support system 100 of the present embodiment, the air conditioning status data of the air conditioner is displayed so as to correspond to the layout data reflecting the positional relationship actually deployed in the building. It can be easily grasped visually. Further, since the display mode of the air conditioner is different from the display mode of other air conditioners, it is easy to visually recognize characteristic data.

<Modification of air conditioning monitoring support system>
As mentioned above, although embodiment of this invention was described based on drawing, a specific structure is not restricted to these embodiment, It can change in the range which does not deviate from the summary of invention.

(A)
In the above embodiment, the air-conditioning monitoring support system that acquires outside temperature data and power consumption data from each of the air conditioners 70 and 80, and determines and records the operation mode data has been described as an example.

  However, the present invention is not limited to this. For example, as shown in FIG. 7, instead of collecting data directly from the air conditioners 70 and 80, outside air temperature data and consumption via the recording medium 270 and the like. The air-conditioning monitoring support apparatus 200 that acquires power data may be used.

  In this case, the air conditioning monitoring support device 200 can be provided regardless of the installation positions of the air conditioners 70 and 80, and can be handled independently as a device for monitoring the state of the air conditioners.

(B)
In the above embodiment, the case where the data processing unit 20 performs the operation state determination process between the cooling operation mode and the heating operation mode based on the relationship between the outside air temperature data and the power consumption data has been described as an example.

  However, the present invention is not limited to this. For example, based on the outside air temperature data, if it is equal to or higher than a predetermined cooling determination temperature (for example, 20 ° C.), a predetermined heating determination temperature ( For example, if it is 10 degrees C or less, it may determine with heating operation mode, and you may make it determine with it being ventilation operation mode in the meantime.

  Further, in the case where a controller such as a remote controller is provided for each of the air conditioners 70 and 80, the operation mode data may be acquired by acquiring the air conditioning operation mode data input by the user. Good.

  Furthermore, by providing a refrigerant temperature sensor for detecting the temperature of the refrigerant flowing through the indoor heat exchanger of each of the air conditioners 70 and 80, the cooling operation mode or the heating operation mode is selected according to the obtained refrigerant temperature data. You may make it judge.

(C)
In the said embodiment, the case where the display according to the layout by which the air conditioners 70 and 80 are deployed was mentioned as an example, and was demonstrated.

  However, the present invention is not limited to this. For example, the position data where the air conditioners 70 and 80 are provided is simply output from the display unit 40 in a list display in comparison with the air conditioners 70 and 80. It may be.

(D)
In the above-described embodiment, the difference in air-conditioning state data when the power consumption of the air conditioners 70 and 80 is the same (points where the cooling / heating operation mode may be different even if the power consumption is the same) The case where the determination is made based on the temperature data has been described as an example.

  However, the present invention is not limited to this. For example, the determination may be made based on the outdoor discomfort index, the enthalpy of outdoor air, and the like.

(E)
In the above embodiment, as a method of deleting holiday data from the air conditioner status data, the data processing unit 20 deletes data on an extremely low amount of power consumption, or a person enters the monitoring device 10. On the other hand, the method of deleting holiday data by directly inputting it has been described as an example.

  However, the present invention is not limited to this. For example, holiday data (for example, calendar information) of a property where the air conditioners 70 and 80 are provided in advance is stored in the memory 30 in advance. 20 may be configured to perform processing for deleting data of power consumption corresponding to a holiday based on data in the memory 30.

(F)
In the above embodiment, the data processing unit 20 obtains the minimum power consumption data by deleting the holiday data from the power consumption data of the air conditioner state data, and the outside air corresponding to this minimum power consumption. The case of obtaining the temperature as a reference has been described as an example.

  However, the present invention is not limited to this, and similar data may be obtained by other calculation methods.

  For example, the maximum power consumption by temperature of a certain outside air temperature (or the second power consumption by temperature in order to eliminate abnormal data etc.), for example, for each outside air temperature at intervals of 0.5 ° C. To extract. And you may make it obtain | require on the basis of the outside temperature corresponding to the lowest power consumption among this extracted maximum power consumption according to temperature.

(G)
In the above embodiment, in the operation state determination process, the power consumption is stored separately for each day in the cooling operation mode, the heating operation mode, and the cooling / heating simultaneous operation mode, and the high load, the medium load, and the low load for each divided operation mode. The case where characteristic data of the load is extracted and displayed is described as an example.

  However, the present invention is not limited to this. For example, as shown in FIG. 8, the data processing unit 20 divides the daily power consumption by month based on the data stored in the memory 30. The shown graph may be created. Then, based on the monthly power consumption graph as shown in FIG. 8, the data processing unit 20 determines the high load day, the medium load day, and the low load day according to the size of the monthly power consumption. Data on the power consumption of one representative day is extracted together with the data of the corresponding air conditioners 70 and 80, respectively. By using the representative date data extracted in this way, the data processing unit 20 displays a list of data for each month on the high load date, medium load date, and low load date, as shown in FIG. It is possible to display and output the data on the display unit 40 side by side in accordance with the order of the months in a state where the power consumption of the air conditioners 70 and 80 corresponding to the day are linked.

  In the output state as shown in FIG. 9 here, the display portion of each representative day is linked to the data of the power consumption of the corresponding air conditioners 70 and 80 for that day, so the mouse 52 When the representative date display part is selected and clicked by the above, the floor state as shown in FIG. 6 is displayed and output on the display unit 40 as in the above embodiment.

  Here, the high load day is the day with the highest amount of power consumption in a certain month, and the medium load day is the day that is closest to the average value of power consumption in the same month. The low load day is the day with the least amount of power consumption in the same month. In addition, in the extraction of the high load day, the medium load day, and the low load day here, as shown in the above-described embodiment, after performing the process of excluding holiday data, each day may be specified. Good.

  In the modification (G), the case where the predetermined unit period is one day and the predetermined long period is one month has been described as an example. However, the predetermined unit period and the predetermined long period are not limited thereto. For example, the predetermined unit period can be changed to one month, and the predetermined long period can be changed according to the season.

(H)
In the above embodiment, in the operation state determination process, the power consumption is stored separately for each day in the cooling operation mode, the heating operation mode, and the cooling / heating simultaneous operation mode, and the high load, the medium load, and the low load for each divided operation mode. The case where characteristic data of the load is extracted and displayed is described as an example.

  However, the present invention is not limited to this. For example, as shown in FIG. 10, the data processing unit 20 calculates the daily power consumption based on the data stored in the memory 30 as the comfort index value. You may create a graph plotted against.

  Here, as the comfort index value, for example, the frequency of occurrence of temperature deviation can be used as an index. The frequency of occurrence of this temperature divergence is an index that the higher the frequency, the more often the user feels uncomfortable.

  Specifically, here, all the air conditioners 70 and 80 to be evaluated are evaluated by the following index every hour. That is, when the indoor unit has been operating stably for one hour and the temperature of the air sucked from the target space by the indoor unit (suction temperature) deviates from the set temperature, “temperature divergence occurs” It counts as one day (24 hours). The degree of divergence can be determined freely. For example, when the absolute value of the difference between the average set temperature and the average suction temperature is larger than a predetermined value (for example, 2 ° C.), divergence is determined. can do. Then, the number of occurrences of temperature deviation in one day is obtained as “frequency deviation occurrence frequency”. In this way, the data processing unit 20 plots the power consumption amount of the day against the frequency of occurrence of the temperature divergence of the day, and displays and outputs it on the display unit 40, as shown in FIG. Can create a graph.

  Next, based on the graph shown in FIG. 10, the data processing unit 20 divides the number of occurrences of temperature divergence into data of 100 or more, data of 50 or more and less than 100, and data of 0 or more and less than 50, As shown in FIG. 11, a graph showing the distribution of power consumption for each frequency of occurrence of temperature deviation is created.

  Then, the data processing unit 20 uses the graph divided into the frequency of occurrence of temperature deviation as shown in FIG. The data of the power consumption of the three representative days on the low load day are extracted together with the data of the corresponding air conditioners 70 and 80, respectively. By using the representative date data extracted in this way, the data processing unit 20 can generate data according to the frequency of occurrence of temperature divergence on high load days, medium load days, and low load days as shown in FIG. The list can be displayed and output on the display unit 40 in accordance with the order of frequency of occurrence of temperature divergence in a state where the power consumption of the day is linked to the data of the air conditioners 70 and 80 corresponding to the day. Become.

  In the output state as shown in FIG. 12 here, since the display portion of each representative day is linked to the data of the power consumption of the corresponding air conditioners 70 and 80 for that day, the mouse 52 When the representative date display part is selected and clicked by the above, the floor state as shown in FIG. 6 is displayed on the display unit 40 as in the above embodiment.

  Here, the high load day is the day with the highest amount of power consumption in a certain month, and the medium load day is the day that is closest to the average value of power consumption in the same month. The low load day is the day with the least amount of power consumption in the same month. In addition, in the extraction of the high load day, the medium load day, and the low load day here, as shown in the above-described embodiment, after performing the process of excluding holiday data, each day may be specified. Good.

  If the present invention is used, it is possible to make data analysis work more efficient when monitoring power consumption data related to air conditioners, and in particular, monitoring air conditioner data related to the operating status of a plurality of air conditioners. It can be used as an air conditioning monitoring support device to support. The graph output by the present invention is not limited to monitoring, and can be used for pasting on a report or the like for reporting the monitoring result.

The block block diagram of the air-conditioning monitoring assistance system concerning one Embodiment of this invention. A graph of air conditioner data for one day obtained from an air conditioner. The graph which shows the specific method of the extraction data in a cooling day and a heating day. The figure which shows the floor and day of extraction data. The figure which shows the deployment layout by which an air conditioner is deployed. The figure which shows the display output along the arrangement | positioning layout of air conditioning machine data. The block block diagram of the air-conditioning monitoring assistance apparatus which concerns on a modification (A) The monthly graph of the power consumption which concerns on a modification (G). The figure which shows the list of the monthly characteristic data of the extraction data which concern on a modification (G). The graph with respect to the temperature deviation grade of the power consumption concerning a modification (H). The graph which divided the electric power consumption which concerns on a modification (H) according to the temperature deviation degree. The figure which shows the list of the characteristic data according to the deviation degree of the extraction data which concern on a modification (H).

10 monitoring device 20 data processing unit (extraction unit)
30 memory (position memory, grouping memory, operation status data memory)
40 Display section (output section)
70 Air Conditioner / First System 80 Air Conditioner / Second System 100 Air Conditioning Monitoring Support System 200 Air Conditioning Monitoring Support Device 270 Recording Medium

Claims (15)

An air-conditioning monitoring support device (200) that supports monitoring of air-conditioner data related to the operation status of a plurality of air-conditioners,
The air conditioner data including data related to the power consumption amount and the outside air temperature in a predetermined unit period selected from a period including at least one day and one month as a meaningful length period to be compared with each other is associated with each air conditioner. An air conditioner data memory (30) for each predetermined unit period;
While classifying the air conditioner data which the air conditioner data memory (30) has based on the data related to the corresponding outside temperature,
Among the power consumptions of the air conditioner data memory for each of the categories, the maximum value or its neighborhood value, the minimum value or its neighborhood value, the median value or its neighborhood value, and the average value or its neighborhood An extraction unit (20) for extracting at least one of the values together with the predetermined unit period corresponding to the corresponding air conditioner as extracted air conditioner data;
An output unit (40) for outputting the extracted air conditioner data;
An air-conditioning monitoring support device (200). The classification based on the data related to the outside air temperature is the minimum power consumption that is minimized in relation to the data related to the outside air temperature for the data other than holiday data among the power consumptions that the air conditioner data memory has. Is a classification based on the value of the data related to the outside air temperature or a value in the vicinity thereof, or a classification based on a predetermined value related to the outside air temperature,
The air-conditioning monitoring support apparatus (200) according to claim 1. The data related to the outside air temperature is at least one of the outside air temperature, the outdoor discomfort index, and the enthalpy of outdoor air in the predetermined unit period.
The air-conditioning monitoring support apparatus (200) according to claim 1 or 2. A position data memory (30) for storing position data relating to the installation position of each air conditioner;
The output unit (40) displays the extracted air conditioner data in association with the position data.
The air-conditioning monitoring support apparatus (200) according to any one of claims 1 to 3. The position data includes floor data about an installation floor of the air conditioner,
The output unit (40) includes the extracted air conditioner data, and other air conditioner data that are at least adjacent to each other among the air conditioners having the same floor data as the air conditioner of the extracted air conditioner data. Displaying the position data of the air conditioner in a layout corresponding to the floor data;
The air-conditioning monitoring support apparatus (200) according to claim 4. The output unit (40) has a different display mode between the display portion of the extracted air conditioner data and the display portion of each of the other air conditioner data.
The air-conditioning monitoring support apparatus (200) according to claim 5. The output unit (40) displays the air conditioner data in accordance with at least one of a classification based on data related to the outside air temperature of the air conditioner in the extracted air conditioner data or an outdoor unit system of the air conditioner. Different way
The air-conditioning monitoring support apparatus (200) according to claim 6. An air-conditioning monitoring support device (200) that supports monitoring of air-conditioner data related to the operation status of a plurality of air-conditioners,
The air conditioner data including data related to the power consumption amount and the outside air temperature in a predetermined unit period selected from a period including at least one day and one month as a meaningful length period to be compared with each other is associated with each air conditioner. An air conditioner data memory (30) for each predetermined unit period;
Of the air conditioner data stored in the air conditioner data memory (30), the data other than holiday data is related to the outside air temperature corresponding to the minimum power consumption that is minimized in relation to the data related to the outside air temperature. When the data value or a value near it is set as a threshold value, if the data value related to the outside air temperature is larger than the threshold value, the cooling operation mode is set, and the data value related to the outside air temperature is smaller than the threshold value. Includes a cooling / heating determination unit (20) that determines the operation mode as the heating operation mode,
While classifying the air conditioner data that the air conditioner data memory has based on the corresponding operation mode,
Among the power consumptions of the air conditioner data memory for each of the categories, the maximum value or its neighborhood value, the minimum value or its neighborhood value, the median value or its neighborhood value, and the average value or its neighborhood An extraction unit (20) for extracting at least one of the values together with the predetermined unit period corresponding to the corresponding air conditioner as extracted air conditioner data;
An output unit (40) for outputting the extracted air conditioner data;
An air-conditioning monitoring support device (200). An air-conditioning monitoring support device (200) that supports monitoring of air-conditioner data related to the operation status of a plurality of air-conditioners,
The air conditioner data including the power consumption and the cooling / heating operation mode in a predetermined unit period selected from a period including at least one day and one month as a period of meaningful length to be compared with each other is associated with each air conditioner. Air conditioner data memory (309 and
The air conditioner data stored in the air conditioner data memory is stored in the cooling operation mode and the heating operation mode in each predetermined unit period, or the cooling operation mode and the heating operation mode in the same predetermined unit period. While dividing into at least one of the case where both operation modes are executed,
Among the power consumptions of the air conditioner data memory for each of the categories, the maximum value or its neighborhood value, the minimum value or its neighborhood value, the median value or its neighborhood value, and the average value or its neighborhood An extraction unit (20) for extracting at least one of the values together with the predetermined unit period corresponding to the corresponding air conditioner as extracted air conditioner data;
An output unit (40) for outputting the extracted air conditioner data;
An air-conditioning monitoring support device (200). An operation mode reception unit that receives data on the air conditioning operation mode of the air conditioner data memory from the outside;
The cooling / heating operation mode of the air conditioner data memory is stored based on the data received by the reception unit.
The air-conditioning monitoring support apparatus (200) according to claim 9. The predetermined unit period is 24 hours.
The air-conditioning monitoring support apparatus (200) according to any one of claims 1 to 10. An air conditioning monitoring support system (100) for supporting monitoring of an air conditioner,
A plurality of air conditioners (70, 80);
From the plurality of air conditioners, air conditioner data including data on power consumption and outside air temperature in a predetermined unit period selected from a period including at least one day and one month as a meaningful length period to be compared with each other, An air conditioner data acquisition unit (50) for acquiring and dividing each predetermined unit period in association with each air conditioner;
While classifying the air conditioner data acquired by the air conditioner data acquisition unit (50) based on the corresponding data regarding the outside air temperature,
Among the power consumptions of the air conditioner data memory for each of the categories, the maximum value or its neighborhood value, the minimum value or its neighborhood value, the median value or its neighborhood value, and the average value or its neighborhood An extraction unit (20) for extracting at least one of the values together with the predetermined unit period corresponding to the corresponding air conditioner as extracted air conditioner data;
An output unit (40) for outputting the extracted air conditioner data;
An air-conditioning monitoring support system (100). An air-conditioning monitoring support device (200) that supports monitoring of air-conditioner data related to the operation status of a plurality of air-conditioners,
The predetermined unit period in which the air conditioner data including power consumption in a predetermined unit period selected from a period including at least one day and one month as a period of meaningful length to be compared with each other is associated with each air conditioner Air conditioner data memory (30) for each
While dividing the air conditioner data that the air conditioner data memory (30) has, for each predetermined long period obtained by multiplying the length of the predetermined unit period by a natural number,
Among the power consumptions of the air conditioner data memory for each of the categories, the maximum value or its neighborhood value, the minimum value or its neighborhood value, the median value or its neighborhood value, and the average value or its neighborhood An extraction unit (20) for extracting at least one of the values together with the predetermined unit period corresponding to the corresponding air conditioner as extracted air conditioner data;
An output unit (40) for arranging and outputting the extracted air conditioner data for each predetermined long period;
An air-conditioning monitoring support device (200). An air-conditioning monitoring support device (200) that supports monitoring of air-conditioner data related to the operation status of a plurality of air-conditioners,
The predetermined unit period in which the air conditioner data including power consumption in a predetermined unit period selected from a period including at least one day and one month as a period of meaningful length to be compared with each other is associated with each air conditioner Air conditioner data memory (30) for each
While classifying the air conditioner data that the air conditioner data memory (30) has according to a predetermined comfort category related to a predetermined comfort judgment,
Among the power consumptions of the air conditioner data memory for each of the categories, the maximum value or its neighborhood value, the minimum value or its neighborhood value, the median value or its neighborhood value, and the average value or its neighborhood An extraction unit (20) for extracting at least one of the values together with the predetermined unit period corresponding to the corresponding air conditioner as extracted air conditioner data;
An output unit (40) for outputting the extracted air conditioner data;
An air-conditioning monitoring support device (200). The predetermined comfort category is a category that is divided according to the frequency at which the degree of deviation between the set temperature of the air conditioner and the suction temperature is equal to or higher than a predetermined level during the predetermined unit period.
The air-conditioning monitoring support apparatus (200) according to claim 14 .

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