Determination device, determination method, and computer-readable storage medium

Abstract

The invention provides a determination device, a determination method, and a computer-readable storage medium, which can appropriately determine an abnormal state of an air conditioner other than a failure condition set in advance. A determination device according to an embodiment includes a collection unit, a characteristic value calculation unit, a difference calculation unit, and a determination unit. The collection unit collects data relating to the environment of a room in which the air conditioner is installed during each of the plurality of specified periods. The characteristic value calculation unit simulates the indoor environment on the basis of the data for each period collected by the collection unit, and calculates a characteristic value on the basis of the simulation results for each period. The difference calculation unit calculates the difference between the characteristic value for each of the periods calculated by the characteristic value calculation unit and the value included in the data relating to the indoor environment for each of the periods collected by the collection unit, for each of the corresponding times in the plurality of periods. The determination unit determines an abnormality of the air conditioner on the basis of the distribution of the differences calculated by the difference calculation unit.

Description

Technical Field

[0001] The present invention relates to a determination device, a determination method and a computer-readable storage medium. Background Art

[0002] In recent years, due to the large-scale construction of buildings, multiple air conditioning equipment are installed in one building, and the burden of operation and management business has increased. In such a situation, if the air conditioning equipment of the building fails or fails, and the discovery or treatment of the abnormality is delayed, it will cause the indoor environment to deteriorate or waste energy, which will become a cause of increased costs, so it is required to respond as soon as possible.

[0003] In the past, when an air conditioner has a malfunction or failure, it is mainly up to the operator to identify the discrepancy between the set value and the measured value and to visually check the equipment. However, in the case of equipment located inside a tenant's room, it is difficult for the manager to enter the room for confirmation, so the cause of the problem must be identified through methods other than visual inspection.

[0004] Therefore, the following technology has been proposed: a fault condition is set in advance, and the result of simulating the fault condition and the simulation result of the normal state are used to set a benchmark that can distinguish between the normal state and the abnormal state, thereby distinguishing the abnormal state that is considered to be a fault or malfunction of the air-conditioning equipment (for example, refer to patent document 1).

[0005] [Prior art literature]

[0006] [Patent Document]

[0007] Patent Document 1: Japanese Patent Application Publication No. 2004-234302 Summary of the invention

[0008] [Problems to be solved by the invention]

[0009] However, the conventional technology has the following problem: sometimes it is not possible to properly determine the abnormal state of the air conditioning equipment other than the pre-set fault conditions. For example, the conventional technology has the following problem: it can only perform fault detection under the pre-predicted fault conditions of the air conditioning equipment process, but cannot determine the deviation between the set temperature and the measured temperature caused by the insufficient load capacity of the equipment due to changes in the internal load or differences in the surrounding environment.

[0010] [Technical means to solve the problem]

[0011] In order to solve the aforementioned problems and achieve the purpose, the determination device of the present invention is characterized in that it comprises: a collecting unit, which collects data related to the indoor environment in which the air-conditioning equipment is installed in each of a plurality of specified periods; a characteristic value calculation unit, which simulates the indoor environment based on the data in each period collected by the collecting unit, and calculates the characteristic value according to the simulation result in each period; a difference calculation unit, which calculates the difference between the characteristic value of each period calculated by the characteristic value calculation unit and the value contained in the data related to the indoor environment in each period collected by the collecting unit for corresponding moments in the plurality of periods; and a determination unit, which determines the abnormality of the air-conditioning equipment based on the distribution of the difference calculated by the difference calculation unit.

[0012] [Effects of the Invention]

[0013] According to the present invention, there is an effect that an abnormal state of an air-conditioning device other than a previously set failure condition can be appropriately determined. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 It is a diagram showing an overview of an abnormality determination system including a determination device according to an embodiment.

[0015] Figure 2 It is a diagram showing a configuration example of a determination device according to an embodiment.

[0016] Figure 3 (A) Figure 3 (B) is a diagram showing a specific example of data stored in the determination device according to the embodiment.

[0017] Figure 4 This is a diagram showing an example of target selection in the embodiment.

[0018] Figure 5 This is a diagram showing a specific example of the processing performed by the determination device according to the embodiment.

[0019] Figure 6 It is a diagram showing a specific example of an image output by the determination device according to the embodiment.

[0020] Figure 7 This is a flowchart showing an example of the processing flow of the determination device according to the embodiment.

[0021] Figure 8 This is a diagram showing an example of a hardware configuration.

[0022] [Explanation of Symbols]

[0023] 100: Determination device

[0024] 110: Ministry of Communications

[0025] 120: Control Department

[0026] 121: Collection Department

[0027] 122: Characteristic value calculation unit

[0028] 123: Difference calculation unit

[0029] 124: Judgment Department

[0030] 125: Display unit

[0031] 130: Storage

[0032] 131: Historical data storage unit

[0033] 132: Characteristic value data storage unit

[0034] 133: Difference data storage unit

[0035] 134: Determination data storage unit

[0036] 200: Air conditioning system monitoring device

[0037] 210, 220: Air conditioning system

[0038] 211, 221: Air conditioner

[0039] 212, 215: VAV

[0040] 213, 216: Indoor temperature sensor

[0041] 214-1~214-n、217-1~217-n:Blowing outlet

[0042] 300: Temperature sensor DETAILED DESCRIPTION

[0043] Hereinafter, embodiments of the determination device, determination method, and determination program of the present application will be described in detail based on the drawings. In addition, the determination device, determination method, and determination program of the present application are not limited to the above-described embodiments.

[0044] 〔1. First〕

[0045] First, an overview of a system including the determination device 100 according to the present embodiment will be described. Figure 1 It is a diagram showing an overview of an abnormality determination system including a determination device according to an embodiment.

[0046] Figure 1In the example, the determination device 100 is connected to the air conditioning system monitoring device 200 and the temperature sensor 300 by wire or wireless, and information is transmitted and received between them. Moreover, the air conditioning system monitoring device 200 is connected to the air conditioning system 210 and the air conditioning system 220. In addition, Figure 1 In the example, the air conditioning system monitoring device 200 is connected to two air conditioning systems, but it is not limited thereto, and the number of air conditioning systems can be increased or decreased arbitrarily.

[0047] Furthermore, the air conditioning system 210 includes an air conditioning unit 211 and a variable air volume system (VAV) 212 and a VAV 215 connected to the air conditioning unit 211. Furthermore, the VAV 212 is connected to an indoor temperature sensor 213 and corresponds to the air outlets 214-1 to 214-n. Similarly, the VAV 215 is connected to an indoor temperature sensor 216 and corresponds to the air outlets 217-1 to 217-n. Furthermore, the air conditioning system 220 also has the same structure as the air conditioning system 210 starting from the air conditioning unit 221. In addition, the structure of the air conditioning system is not limited to Figure 1 The structure shown can arbitrarily increase or decrease the number of air conditioners or VAVs.

[0048] The determination device 100 is a server device that receives the measured value of the indoor temperature or the VAV air supply volume, the radiation temperature of the floor surface, etc. from the air conditioning system monitoring device 200 and the temperature sensor 300, and pre-stores the information as historical data, and is implemented through a personal computer (PC) or a cloud system.

[0049] The determination device 100 collects data related to the indoor environment in which the air conditioner is installed in each of the specified multiple periods, simulates the indoor environment based on the collected data in each period, and calculates characteristic values ​​according to the simulation results in each period. In addition, the determination device 100 calculates the difference between the calculated characteristic value in each period and the value included in the data related to the indoor environment in each period for corresponding moments in the multiple periods, and determines the abnormality of the air conditioner based on the distribution of the calculated difference.

[0050] The determination device 100 first collects data related to the indoor environment in which the air conditioner is installed in each of the specified multiple periods. For example, the determination device 100 collects data related to the indoor environment such as the indoor temperature or VAV air volume of a part of the target area (hereinafter also referred to as the target) in which the VAV is installed in each of the specified multiple periods (hereinafter also referred to as the evaluation target period) such as July of this year and July of last year.

[0051] Next, the determination device 100 simulates the indoor environment based on the collected data in each period, and calculates the characteristic values ​​according to the simulation results in each period. For example, a computational fluid dynamics (CFD) input data set is prepared based on the data in each period / each target, and CFD is implemented based on the data to calculate the characteristic values ​​in each period / each target.

[0052] Furthermore, the determination device 100 calculates the difference between the calculated characteristic value of each period and the value contained in the data related to the indoor environment of each period for the corresponding moments in the plurality of periods. For example, the determination device 100 calculates the difference between the characteristic value and the measured value of the indoor environment for each date in July of last year and July of this year for each target.

[0053] Then, the determination device 100 determines the abnormality of the air conditioning equipment based on the distribution of the calculated difference values. For example, the determination device 100 statistically compares the data on the difference values ​​in July of last year with the data on the difference values ​​in July of this year for each target, and thereby determines that the VAV of the target is abnormal when there is a significant difference between the data in the two periods.

[0054] The air conditioning system monitoring device 200 monitors the control status of air conditioning equipment such as air conditioners 211 or VAVs 212 belonging to each air conditioning system, and sends information related to the indoor environment such as the air supply volume of each VAV or the temperature of each target to the determination device 100.

[0055] The air conditioner 211 is, for example, an air conditioning device including a cooling coil or a heating coil and a blower, and its operation is monitored by the air conditioning system monitoring device 200. Moreover, the conditioned air blown out by the air conditioner 211 and the air conditioner 221 is supplied to each area through the air supply duct. VAV 212 and VAV 215 are air conditioning devices that control the amount of conditioned air introduced to the conditioned air supplied from the air conditioner 211 to eliminate the air conditioning load of each zone. Moreover, VAV 212 and VAV 215 adjust the amount of air supplied from each outlet by controlling the opening of the damper.

[0056] The indoor temperature sensor 213, the indoor temperature sensor 216, and the temperature sensor 300 are measuring devices for measuring the temperature nearby, and in addition to the indoor temperature, they also measure the radiation temperature of the wall, ceiling, floor surface, etc. And the temperature measured by each temperature sensor is sent to the determination device 100 together with the time of measurement, etc.

[0057] [2. Structure of determination device 100]

[0058] Next, refer to Figure 2 To illustrate Figure 1 The structure of the determination device 100 is shown. Figure 2 FIG. 2 is a diagram showing a configuration example of a determination device according to an embodiment of the present invention. Figure 2 As shown, the determination device 100 according to the embodiment includes a communication unit 110 , a control unit 120 , and a storage unit 130 .

[0059] The communication unit 110 is implemented, for example, by a network interface card (NIC), etc. The communication unit 110 is connected to the air conditioning system monitoring device 200 and the temperature sensor 300 by wire or wirelessly to transmit and receive information.

[0060] The storage unit 130 is implemented by a storage device such as a random access memory (RAM) or a hard disk. The storage unit 130 stores data and programs required for various processes performed by the control unit 120, and as a part particularly closely related to the present invention, it has a history data storage unit 131, a characteristic value data storage unit 132, a difference data storage unit 133, and a determination data storage unit 134.

[0061] The historical data storage unit 131 stores data related to the past indoor environment used in the determination process described later. For example, the historical data storage unit 131 stores data related to the indoor environment such as the supply air temperature, VAV air volume or indoor temperature, radiation temperature of the floor surface, and the number of people in the room at any time in the past as time series data for each date and time. In addition, the data related to the indoor environment can also be stored in advance before the process of the determination device 100 is performed.

[0062] The characteristic value data storage unit 132 stores characteristic values ​​calculated by the characteristic value calculation unit 122 described later. For example, the characteristic value data storage unit 132 stores characteristic values ​​such as indoor temperature calculated by the characteristic value calculation unit 122 described later for each selected target.

[0063] The difference data storage unit 133 stores data on the difference between the characteristic value and the actual value calculated by the difference calculation unit 123 described later. For example, the difference data storage unit 133 stores, for each target, the difference between the indoor temperature calculated as the characteristic value by simulation and the actual value of the indoor temperature stored in the history data storage unit 131 for each date.

[0064] The determination data storage unit 134 stores determination data generated by the determination unit 124. For example, the determination data storage unit 134 stores a target determined by the determination unit 124 to be an air conditioner abnormality together with VAV information (installation location, etc.) corresponding to the target.

[0065] Here, refer to Figure 3 (A) Figure 3 (B) will be used to explain specific examples of the data stored in the history data storage unit 131 and the data stored in the difference data storage unit 133. Figure 3 (A) Figure 3 (B) is a diagram showing a specific example of data stored in the determination device according to the embodiment. Figure 3 (A) represents the data stored in the historical data storage unit 131, Figure 3 (B) shows the data stored in the difference data storage unit 133.

[0066] Figure 3 The example (A) indicates that for each date and time at a certain interval such as "2022 / 07 / 01 9:00" and "2022 / 07 / 01 10:00", the measured values ​​of the supply air temperature, VAV air volume, indoor temperature, etc. in the corresponding time are associated and stored. Figure 3 The example (B) shows that for each target such as "Target 1" that is a judgment object, corresponding to each date such as "07 / 01" or "07 / 02", the difference between the characteristic value and the actual value within the specified period, i.e., "23 / 07 (July 2023)" and "22 / 07 (July 2022)", is stored in sequence.

[0067] return Figure 2 Description. The control unit 120 is implemented by having a central processing unit (CPU) or a microprocessor (MPU) or the like use a random access memory (RAM) as a working area to execute various programs stored in a storage device inside the determination device 100. Moreover, the control unit 120 is implemented by an integrated circuit such as an application specific integrated circuit (ASIC) or a field programmable gate array (FPGA). The control unit 120 has a collection unit 121, a characteristic value calculation unit 122, a difference calculation unit 123 and a determination unit 124, and may also have a display unit 125 as needed.

[0068] The collection unit 121 collects data related to the indoor environment of the air conditioner in each of the specified multiple periods. For example, the collection unit 121 refers to the information stored in the historical data storage unit 131 to collect data such as the supply air temperature and VAV air volume of the target selected from the outside in each evaluation object period. Here, the evaluation object period can also be an arbitrary period set from the outside, and more than two data periods can be set. In addition, since seasonal factors have a great impact on the indoor environment, the evaluation object period is ideally set to a period of the same season such as the same month of the previous year.

[0069] Moreover, refer to Figure 4 To illustrate the aforementioned goal. Figure 4 This is a diagram showing an example of target selection in the embodiment. Figure 4 In the example of , first, the entire floor is divided into four VAV control areas 1 to 4. In addition, each VAV control area is provided with an indoor temperature sensor (1) to an indoor temperature sensor (4). Furthermore, independently of the VAV control area, the entire floor is divided into 3×10 blocks as the target area of ​​the CFD simulation result used in the characteristic value calculation unit 122 described later.

[0070] In the above situation, for each VAV control area, an arbitrary block in the area is selected as a target and associated with the indoor temperature sensor. For example, for "VAV control area 1", the block including "temperature sensor (1)" is selected as "target 1" and associated with "temperature sensor (1)". Similarly, for each VAV control area 2 to VAV control area 4, targets 2 to 4 are also selected and associated with the corresponding indoor temperature sensors.

[0071] That is, the target is to select any block in each VAV control area of ​​the abnormality determination object and associate it with the corresponding indoor temperature sensor. Therefore, the determination device 100 can use the actual measurement value of the temperature sensor associated with each target to perform simulation and determination processing for each target (for each VAV corresponding to the target).

[0072] In addition, the indoor temperature sensor may be a temperature sensor used for VAV control, or a temperature sensor provided for indoor environment measurement. Furthermore, the target selection may be set externally in consideration of the utilization status of the target floor, or the block closest to the indoor temperature sensor may be automatically set. Figure 4 , an example of selecting a target for one floor is shown, but the present invention is not limited to this, and each floor of the entire building may be set as a target for selection, or only one air-conditioning system may be set as a target for selection.

[0073] return Figure 2 Description. The characteristic value calculation unit 122 simulates the indoor environment based on the data in each period collected by the collection unit 121, and calculates the characteristic value according to the simulation result in each period. Moreover, the characteristic value calculation unit 122 can use the data in each period collected by the collection unit 121 to simulate any one or more of the indoor temperature distribution, the indoor air volume distribution, the indoor wind speed distribution, the indoor pollutant (such as carbon dioxide) concentration distribution, and the indoor humidity distribution according to computational fluid dynamics.

[0074] For example, the characteristic value calculation unit 122 first creates data of boundary conditions used for CFD calculation based on the data notified by the aforementioned collection unit 121. Then, the characteristic value calculation unit 122 uses the created data set to calculate the temperature distribution in the room by CFD, and saves the data obtained by summing the calculated temperatures in units of targets as characteristic values ​​in the characteristic value data storage unit 132.

[0075] In addition, as a summing method, the characteristic value calculation unit 122 may calculate the average value of the CFD results in the target or use the maximum value. Furthermore, the CFD simulation object is not limited to the indoor temperature distribution, and elements representing the indoor environment such as indoor air volume or wind speed, CO2, humidity, etc. may be used.

[0076] Here, the CFD used by the characteristic value calculation unit 122 is described. In this embodiment, CFD simulates by inputting information (supply air temperature, air volume, radiation temperature, etc.) that affects the space as boundary conditions, and visualizes the distribution of air volume or wind speed, CO2, humidity, temperature, etc. In addition, in CFD, since the information (supply air temperature, air volume, radiation temperature, etc.) that affects the space is input as boundary conditions, it is possible to obtain a reproducible result by combining multiple conditions on the basis of considering these factors that become external interference.

[0077] Furthermore, CFD simulates the indoor model by inputting boundary conditions, so when the boundary conditions are similar, the simulation results will also be similar, and the difference between the actual result and the simulation result will also be of the same degree. Therefore, the determination device 100 statistically compares the difference between the actual result and the simulation result for two periods with similar boundary conditions, and analyzes the distribution of the difference, thereby being able to determine that an abnormality has occurred in the equipment of the corresponding air conditioning system or the equipment of the corresponding indoor area.

[0078] The difference calculation unit 123 calculates the difference between the characteristic value of each period calculated by the characteristic value calculation unit 122 and the value included in the data related to the indoor environment of each period collected by the collection unit 121 for each corresponding time in a plurality of periods. For example, the difference calculation unit 123 refers to the information stored in the history data storage unit 131 and the characteristic value data storage unit 132, calculates the difference between the characteristic value and the measured value at the same time in the evaluation target period, and stores it in the difference data storage unit 133.

[0079] Here, the difference calculation unit 123 calculates the difference between the characteristic value of the target and the actual measurement value of the temperature sensor associated with the target for each target. Moreover, the difference calculation unit 123 can calculate the difference for each date (07 / 01...) during the evaluation period (July of this year: July of last year) (refer to Figure 3 (B)), the difference can also be calculated for each arbitrary time (07 / 019:00...) of each date.

[0080] That is, the interval of the difference calculation can be changed according to the evaluation object period. For example, if the evaluation object period is one month, the difference can be calculated for each day, and if the evaluation object period is one day, the difference can be calculated for each hour. In addition, when the difference is calculated for each day, the difference calculation unit 123 can also calculate the average value of the difference for each hour of the date as the difference of the date.

[0081] The determination unit 124 determines the abnormality of the air conditioning equipment based on the distribution of the difference calculated by the difference calculation unit 123. For example, the determination unit 124 refers to the information stored in the difference data storage unit 133, statistically compares a plurality of difference data during the evaluation object period, and thereby determines whether there is a significant difference. In addition, the determination unit 124 determines that the VAV of the VAV control area corresponding to the target determined to have a significant difference is abnormal, and saves information such as the setting area of ​​the VAV determined to be abnormal in the determination data storage unit 134.

[0082] Furthermore, the determination unit 124 may determine the abnormality of the air conditioner by using a corresponding inspection method according to the distribution of the differences calculated by the difference calculation unit 123 and according to whether the differences are of equal variance or of unequal variance.

[0083] For example, the determination unit 124 first performs an F test on the distribution of the two difference data during the evaluation object period to determine whether the variances are equal or unequal. Next, the determination unit 124 performs a t test, for example, when the difference is equal variance, to determine whether there is a significant difference in the average of the two evaluation object periods. On the other hand, when the difference is unequal variance, Welch's t test is performed to determine whether there is a significant difference in the average of the two evaluation object periods. Subsequently, the determination unit 124 determines that the VAV of the VAV control area corresponding to the target determined to have a significant difference is abnormal, in the same manner as the aforementioned processing.

[0084] The display unit 125 displays an image related to the area where the air conditioner determined to be abnormal by the determination unit 124 is arranged. For example, the display unit 125 refers to the information stored in the determination data storage unit 134, totals the installation areas of the VAV determined to be abnormal, and displays an overview image in which each control area of ​​the VAV installed on each floor is classified as an area expected to be normal or an area expected to be in an abnormal condition.

[0085] [3. Example]

[0086] Here, refer to Figure 5 A specific example of the processing performed by the determination device 100 will be described. Figure 5 : is a diagram showing a specific example of the processing performed by the determination device of the embodiment. Figure 5 , an example of performing CFD simulation on the indoor temperature distribution is shown. First, the determination device 100 specifies two periods, "July of last year" and "July of this year", as evaluation target periods, and selects targets 1 to 4.

[0087] Furthermore, the collection unit 121 collects the historical data on each of the targets 1 to 4 at each date / time in July last year and the historical data on each of the targets 1 to 4 at each date / time in July this year. Subsequently, the characteristic value calculation unit 122 performs a temperature distribution simulation by CFD using the data sets created from the corresponding historical data for each date / time in July last year and each date / time in July this year.

[0088] The characteristic value calculation unit 122 calculates the average value of the temperature in units of targets based on the simulation results as the characteristic value. In addition, through the processing so far, the characteristic values ​​of targets 1 to 4 are calculated for each date / time in July last year and each date / time in July this year.

[0089] Next, the difference calculation unit 123 calculates the difference between each calculated characteristic value and the actual measurement value corresponding to the characteristic value. In addition, for example, when the characteristic value is "10 o'clock on July 1 last year, target 1: 26°C", the corresponding actual measurement value is "10 o'clock on July 1 last year, the measurement value of the temperature sensor corresponding to target 1: 25.5°C", and the difference is "0.5°C". Subsequently, the difference calculation unit 123 calculates the average value of each date for the calculated difference as the difference of each date. That is, the difference calculated for each time is summarized for each date, thereby calculating the difference of each target 1 to target 4 for each date (1st to 31st) of July last year and each date of July this year (1st to 31st).

[0090] Then, the determination unit 124 performs an F test on the difference data between July last year and July this year as the respective populations for each of the targets 1 to 4 to determine whether the difference is equal variance or unequal variance. Furthermore, a t test is performed when the difference is equal variance, and a Welch's t test is performed when the difference is unequal variance, thereby determining whether there is a significant difference.

[0091] Then, the display unit 125 regards that the state of the VAV corresponding to the target determined to have a significant difference has changed, and displays an image indicating that a fault (abnormal state) may occur, thereby outputting the determination result to the outside.

[0092] Through the above series of processes, the determination device 100 statistically compares the difference between the simulation results and the actual measured values ​​for July last year and July this year with similar boundary conditions, thereby determining the state change (abnormality) of the air-conditioning equipment.

[0093] Next, refer to Figure 6 A specific example of an image related to a VAV that may fail and displayed on the display unit 125 will be described. Figure 6 It is a diagram showing a specific example of an image output by the determination device according to the embodiment. Figure 6 In the example of , the possibility of failure of "VAV 1 to VAV 10" installed on each of the "1st floor to the 20th floor" of the building where the VAV to be determined is located is shown.

[0094] Here, Figure 6 In the table, the VAV floors marked with "0" indicate VAV control areas where the air conditioning equipment is expected to be in a normal state, and the VAV floors marked with "×" indicate VAV control areas where the air conditioning equipment is expected to be in an abnormal state. The display unit 125 of the determination device 100 displays the VAV control area to users who are involved in equipment management or operation of the building. Figure 6By providing a list like the example of , the user can understand the determination result of the abnormal state of the air-conditioning equipment in units of VAV control areas.

[0095] [4. Processing flow performed by the determination device]

[0096] Next, use Figure 7 An example of a process flow performed by the determination device 100 according to the embodiment will be described. Figure 7 This is a flowchart showing an example of a process flow in the determination device according to the embodiment.

[0097] The determination device 100 first specifies a period to be determined (evaluation target period) (step S101). Then, the determination device 100 selects a location (target) to be determined (step S102). Next, the collection unit 121 collects information related to the indoor environment under the conditions of the specified period and the selected location (step S103).

[0098] Furthermore, the characteristic value calculation unit 122 creates an input data set for CFD based on the collected information (step S104). Then, the characteristic value calculation unit 122 implements CFD using the generated data set and calculates the characteristic value (step S105). Subsequently, the difference calculation unit 123 calculates the difference between the characteristic value calculated by implementing CFD and the actual measurement value corresponding to the characteristic value collected in S103 (step S106).

[0099] Next, the determination unit 124 determines whether the differences calculated for the evaluation target periods are equal variances or unequal variances (step S107). If the calculated differences are equal variances (step S107; yes), the determination unit 124 implements a t-test, which is a test corresponding to equal variances (step S108). On the other hand, if the calculated differences are unequal variances (step S107; no), the determination unit 124 implements a Welch's t-test, which is a test corresponding to unequal variances (step S109).

[0100] Then, after the process of S108 or the process of S109, the display unit 125 displays the determination result of the abnormal state of the air conditioner obtained by the execution of the inspection (step S110), and the determination device 100 ends the process.

[0101] [5. Effects of implementation methods]

[0102] As described above, the determination device 100 of this embodiment includes the collection unit 121, the characteristic value calculation unit 122, the difference calculation unit 123, and the determination unit 124. The collection unit 121 collects data related to the indoor environment in which the air conditioner is installed in each of the specified multiple periods. The characteristic value calculation unit 122 simulates the indoor environment based on the data in each period collected by the collection unit 121, and calculates the characteristic value according to the simulation result in each period.

[0103] The difference calculation unit 123 calculates the difference between the characteristic value of each period calculated by the characteristic value calculation unit 122 and the value included in the data related to the indoor environment of each period collected by the collection unit 121, for corresponding time points in the plurality of periods. The determination unit 124 determines the abnormality of the air conditioner based on the distribution of the difference calculated by the difference calculation unit 123.

[0104] Thus, the determination device 100 has the following effect: it can automatically determine the air-conditioning equipment with a high possibility of failure / malfunction of the air-conditioning system based on the data related to the air-conditioning environment accumulated in advance, and thus can appropriately determine the abnormal state of the air-conditioning equipment other than the pre-set failure conditions.

[0105] Furthermore, the determination device 100 does not need to be set in advance for normal / abnormal conditions, so the burden on the operation manager or the like can be reduced or the maintenance management of the air conditioning system can be efficiently performed. Furthermore, the determination device 100 appropriately determines the abnormality of the air conditioning equipment and can quickly respond to the air conditioning equipment that has a malfunction / malfunction, thereby preventing the deterioration of the indoor environment and reducing energy consumption.

[0106] Furthermore, the characteristic value calculation unit 122 of the determination device 100 simulates any one or more of the indoor temperature distribution, the indoor air volume distribution, the indoor wind speed distribution, the indoor pollutant (e.g., carbon dioxide) concentration distribution, and the indoor humidity distribution by computational fluid dynamics using the data collected by the collection unit 121 in each period. Thus, the determination device 100 has the following effect: by performing CFD on indicators representing the indoor environment such as the indoor temperature distribution or the indoor wind speed distribution, which can obtain reproducible results by inputting information related to the indoor environment as boundary conditions, the state change of the air conditioner can be determined by comparing the distribution of the difference between the simulation result and the actual measurement value.

[0107] Furthermore, the determination unit 124 of the determination device 100 uses a corresponding inspection method according to the case where the difference is equal variance and the case where the difference is unequal variance based on the distribution of the difference calculated by the difference calculation unit 123, thereby determining the abnormality of the air conditioner. Thus, the determination device 100 has the following effect: according to the distribution of the difference for each data period as the determination object, an appropriate inspection method is used to determine the presence or absence of a significant difference, thereby being able to determine the state change of the air conditioner.

[0108] Furthermore, the determination device 100 includes a display unit 125. The display unit 125 displays an image related to the area where the air conditioner determined to be abnormal by the determination unit 124 is arranged. Thus, the determination device 100 has the effect of easily understanding whether the state of each air conditioner arranged on each floor is normal or abnormal.

[0109] [6. Hardware structure]

[0110] The determination device 100 of the above-mentioned embodiment is, for example, Figure 8 The structure shown is implemented by a computer 1000. Figure 8 The computer 1000 includes a CPU 1100 , a RAM 1200 , a read-only memory (ROM) 1300 , an auxiliary storage device 1400 , a communication interface (I / F) 1500 , and an input / output I / F (interface) 1600 connected via a bus 1800 .

[0111] The CPU 1100 operates based on the program stored in the ROM 1300 or the auxiliary storage device 1400 to control each unit. The ROM 1300 stores a boot program executed by the CPU 1100 when the computer 1000 is activated, a program depending on the hardware of the computer 1000, and the like.

[0112] The auxiliary storage device 1400 stores programs executed by the CPU 1100 and data used by related programs, etc. The communication I / F 1500 receives data from other devices via a predetermined communication network and sends it to the CPU 1100, and transmits data generated by the CPU 1100 to other devices via a predetermined communication network.

[0113] The CPU 1100 controls an output device such as a display or a printer, and an input / output device 1700 such as a keyboard or a mouse via the input / output I / F 1600. The CPU 1100 acquires data from the input / output device 1700 via the input / output I / F 1600. Furthermore, the CPU 1100 outputs the generated data to the input / output device 1700 via the input / output I / F 1600.

[0114] For example, when the computer 1000 functions as the determination device 100 of the present embodiment, the CPU 1100 of the computer 1000 executes the program loaded on the RAM 1200 , thereby realizing the function of the control unit 120 .

[0115] [7. Others]

[0116] All or part of the processes described in the aforementioned embodiments as automatically performed processes may also be performed manually, or all or part of the processes described as manually performed processes may also be performed automatically using known methods. In addition, the process flow, specific names, and information including various data or parameters shown in the document or in the drawings may be changed arbitrarily unless otherwise specified. For example, the various information shown in the drawings is not limited to the information shown in the drawings.

[0117] Furthermore, the components of the devices shown in the figure are conceptual in function and do not necessarily need to be physically configured as shown in the figure. That is, the specific form of the distribution / integration of the devices is not limited to that shown in the figure, and all or part of them can be configured to be functionally or physically distributed / integrated in arbitrary units according to various loads or usage conditions.

[0118] The aforementioned components include components that can be easily conceived by a person skilled in the art, components that are substantially the same, and components within the so-called equivalent scope. Furthermore, the aforementioned embodiments can appropriately combine the processing contents within the scope of non-contradiction.

[0119] Furthermore, the aforementioned "section (part, module, unit)" can be read as "component" or "circuit", etc. For example, the control section can be read as a control component or a control circuit.

[0120] Although several embodiments of the present invention have been described in detail above with reference to the drawings, these are merely examples, and the present invention can be implemented in other forms in which various modifications and improvements are made based on the knowledge of those skilled in the art, starting with the forms described in the Summary of the Invention column.

Claims

1. A determination device, characterized in that: have: A collecting unit that collects data related to the environment of a room in which the air-conditioning equipment is installed in each of a plurality of designated periods; a characteristic value calculation unit that simulates the indoor environment based on the data collected by the collection unit in each period, and calculates the characteristic value according to the simulation result in each period; a difference calculation unit that calculates, for corresponding moments in the plurality of periods, differences between the characteristic value of each period calculated by the characteristic value calculation unit and a value included in the data related to the indoor environment of each period collected by the collection unit; as well as The determination unit determines abnormality of the air conditioner based on the distribution of the difference calculated by the difference calculation unit.

2. The determination device according to claim 1, characterized in that: The characteristic value calculation unit uses the data collected by the collection unit in each period to simulate any one or more of indoor temperature distribution, indoor air volume distribution, indoor wind speed distribution, indoor pollutant concentration distribution and indoor humidity distribution through computational fluid dynamics.

3. The determination device according to claim 1, characterized in that: The determination unit determines the abnormality of the air conditioner by using a corresponding inspection method according to the distribution of the differences calculated by the difference calculation unit, depending on whether the differences have equal variances or unequal variances.

4. The determination device according to claim 1, characterized in that: Also features: The display unit displays an image related to the area where the air-conditioning equipment determined by the determination unit to be abnormal is arranged.

5. A determination method, performed by a determination device, wherein the determination method comprises: A collecting step of collecting data related to the environment of a room in which the air-conditioning equipment is installed during each of a plurality of designated periods; a characteristic value calculation step of simulating the indoor environment based on the data collected in each period in the collection step, and calculating the characteristic value according to the simulation result in each period; a difference calculation step of calculating, for corresponding moments in the plurality of periods, a difference between the characteristic value of each period calculated by the characteristic value calculation step and a value included in the data related to the indoor environment of each period collected by the collection step; as well as The determination step determines an abnormality of the air conditioner based on a distribution of the difference values ​​calculated in the difference value calculation step.

6. A computer-readable storage medium storing a determination program, characterized in that: Causes the computer to execute: A collection process for collecting data related to an environment of a room in which the air-conditioning equipment is installed during each of a plurality of designated periods; A characteristic value calculation process, based on the data in each period collected by the collection process, respectively simulates the indoor environment, and calculates the characteristic value according to the simulation result in each period; a difference calculation process for calculating, for corresponding moments in the plurality of periods, differences between the characteristic value of each period calculated by the characteristic value calculation process and the value contained in the data related to the indoor environment of each period collected by the collection process; as well as The determination process determines abnormality of the air conditioner based on the distribution of the difference calculated by the difference calculation process.

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