Facility diagnostic system, facility diagnostic method, and program

Abstract

To perform diagnosis of facility operational efficiency even after installation.SOLUTION: A facility diagnostic system 10 includes an acquisition part 110, a diagnostic part 111, and a notification part 112. The acquisition part 110 acquires a plurality of pieces power data related to consumption power of facility 2 along a time series. The diagnostic part 111 diagnoses the operational efficiency of facility 2 on the basis of the plurality of pieces of power data. The notification part 112 notifies a diagnostic result of the diagnostic part 111.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present disclosure generally relates to an equipment diagnostic system, an equipment diagnostic method, and a program, and more particularly to an equipment diagnostic system, an equipment diagnostic method, and a program for diagnosing the operating efficiency of equipment. [Background technology]

[0002] BACKGROUND ART Conventionally, a system that supports energy saving measures when introducing equipment is known (see Patent Document 1).

[0003] Patent Document 1 describes an energy diagnosis support system that acquires predicted values ​​of energy usage in a facility to be diagnosed by referring to a prediction database that associates combinations of the facility's industry and total floor area with predicted values ​​of energy usage, based on user input regarding the industry and total floor area of ​​the facility.When introducing equipment such as a compressor, the support system in Patent Document 1 calculates the energy reduction effect based on the equipment to be introduced and the predicted values ​​of energy usage. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] Japanese Patent Publication No. 2023-74236 Summary of the Invention [Problem to be solved by the invention]

[0005] In Patent Document 1, it is possible to calculate the energy reduction effect before introducing the equipment, but it is not possible to diagnose the operation efficiency of the equipment after introduction.

[0006] The present disclosure has been made in consideration of the above-mentioned problems, and aims to provide an equipment diagnosis system, an equipment diagnosis method, and a program that can diagnose the operating efficiency of equipment even after installation. [Means for solving the problem]

[0007] An equipment diagnosis system according to one aspect of the present disclosure includes an acquisition unit, a diagnosis unit, and a notification unit. The acquisition unit acquires a plurality of time-series power data related to power consumption of equipment. The diagnosis unit diagnoses the operating efficiency of the equipment based on the plurality of power data. The notification unit notifies the diagnosis result of the diagnosis unit.

[0008] An equipment diagnosis method according to one aspect of the present disclosure includes an acquisition step, a diagnosis step, and a notification step. In the acquisition step, a plurality of time-series power data related to the amount of power consumed by the equipment is acquired. In the diagnosis step, the operating efficiency of the equipment is diagnosed based on the plurality of power data. In the notification step, the diagnosis result of the diagnosis step is notified.

[0009] A program according to one aspect of the present disclosure is a program for causing one or more processors to execute the equipment diagnosis method. [Effects of the Invention]

[0010] According to the present disclosure, the operational efficiency of equipment can be diagnosed even after installation. [Brief explanation of the drawings]

[0011] [Figure 1] FIG. 1 is a block diagram showing the configuration of an equipment diagnosis system and an integrated system including the equipment diagnosis system according to an embodiment. [Figure 2] FIG. 2 is a graph showing changes in power data acquired by the equipment diagnosis system. [Figure 3] FIG. 3 is a flowchart showing the operation of the equipment diagnosis system. [Figure 4] FIG. 4 is a graph diagram showing a graph used for diagnosis by the equipment diagnosis system according to the first modification. [Figure 5] FIG. 5 is a graph showing the diagnosis results of the equipment diagnosis system. [Figure 6] FIG. 6 is a graph showing a relational expression used for diagnosis in the equipment diagnosis system according to the third modification. [Figure 7] FIG. 7 is a block diagram showing the configuration of an equipment diagnosis system according to the fourth modification and an integrated system including the equipment diagnosis system. [Figure 8] FIG. 8 is a graph diagram showing a graph used for diagnosis by the equipment diagnosis system according to the fifth modification. [Figure 9] FIG. 9 is a graph diagram showing a graph used for diagnosis by the equipment diagnosis system according to the sixth modification. DETAILED DESCRIPTION OF THE INVENTION

[0012] The embodiments and modifications described below are merely examples of the present disclosure, and the present disclosure is not limited to the embodiments and modifications. Various modifications other than the following embodiments and modifications are possible depending on the design, etc., as long as they do not deviate from the technical concept of the present disclosure.

[0013] (Embodiment) Hereinafter, an equipment diagnosis system 10 according to an embodiment will be described with reference to FIGS.

[0014] (1) Overview As shown in FIG. 1, an integrated system 1 according to this embodiment includes an equipment diagnosis device 11 as an equipment diagnosis system 10, and a plurality of pieces of equipment 2 (three in the illustrated example). Here, the plurality of pieces of equipment 2 are installed in a facility. The plurality of pieces of equipment 2 are connected to a distribution board 30 and receive a supply of power from the distribution board 30. The plurality of pieces of equipment 2 are, for example, a plurality of compressors 20. In this embodiment, when it is necessary to explain the plurality of compressors 20 individually, they are referred to as compressors 21, 22, and 23. The equipment diagnosis device 11 diagnoses the operating efficiency of each of the plurality of pieces of equipment 2 installed in the facility, i.e., after they have been introduced into the facility.

[0015] The multiple compressors 20 are electrically connected to a distribution board 30 and use power supplied from the distribution board 30 to discharge gas (e.g., air) to the outside. For example, the multiple compressors 20 discharge the gas to a receiver tank that outputs the gas to an air gun or the like.

[0016] The distribution board 30 is provided with a measuring device 40. The measuring device 40 has a plurality of power sensors that correspond one-to-one to the plurality of compressors 20. The power sensors are provided on electrical paths that electrically connect the corresponding compressors 20 to the distribution board 30. The measuring device 40 measures the amount of power consumed by each of the plurality of compressors 20 for a predetermined period (e.g., one hour) based on the detection results of each power sensor. For example, the detection results of the measuring device 40 include power measured by the corresponding compressor 20 and representing instantaneous power. The measuring device 40 measures the amount of power consumed by the detected power over a fixed period (one-hour intervals). The measuring device 40 associates the measurement results with the identifiers of the compressors 20 and outputs the results to the equipment diagnosis system 10.

[0017] As shown in Fig. 1, an equipment diagnosis device 11 serving as an equipment diagnosis system 10 according to this embodiment includes an acquisition unit 110, a diagnosis unit 111, and a notification unit 112. The acquisition unit 110 acquires a plurality of time-series power data related to the power consumption of the compressor 20. The diagnosis unit 111 diagnoses the operating efficiency of the compressor 20 based on the plurality of power data. The notification unit 112 notifies the diagnosis result of the diagnosis unit 111.

[0018] According to this configuration, since a plurality of time-series power data related to the power consumption of the compressor 20 is used, it is possible to diagnose the operating efficiency of the equipment 2 (compressor 20) even after installation.

[0019] (2) Composition Here, the configuration of an equipment diagnosis device 11 as an equipment diagnosis system 10 will be described with reference to FIGS.

[0020] As shown in FIG. 1, the equipment diagnosis device 11 includes a communication unit 101, a display unit 102, a storage unit 103, and a control unit 104.

[0021] The equipment diagnosis device 11 has, for example, a computer system having one or more processors and a memory. The processor executes a program stored in the memory, causing the computer system to function as the control unit 104. The program executed by the processor is pre-recorded in the memory of the computer system here, but may also be provided by being recorded on a non-transitory recording medium such as a memory card, or may be provided via a telecommunications line such as the Internet.

[0022] The communication unit 101 has a communication interface for communicating with the measurement device 40. The communication unit 101 receives the power data associated with the identifier of the compressor 20 from the measurement device 40 via wired or wireless communication.

[0023] The display unit 102 is a thin display device such as a liquid crystal display or an organic EL (electroluminescence) display, and displays the diagnosis result of the diagnosis unit 111.

[0024] The storage unit 103 is configured by a device selected from a read-only memory (ROM), a random access memory (RAM), an electrically erasable programmable read-only memory (EEPROM), and the like.

[0025] The storage unit 103 stores the power data received from the measuring device 40 for each compressor 20 in chronological order.

[0026] Furthermore, the storage unit 103 stores, for each of the multiple compressors 20, operation information related to the operation of the compressor 20. For example, the operation information includes information related to the performance of the compressor 20. More specifically, the storage unit 103 stores, for each compressor 20, a performance table shown in Table 1 below as information related to the performance of the compressor 20.

[0027] [Table 1]

[0028] The flow rate indicates the flow rate of gas flowing out of the compressor 20. Here, the flow rate indicates the flow rate of gas flowing out of the compressor 20 over a certain period of time (e.g., one hour). The amount of power used indicates the amount of power consumed when gas is flowing out of the compressor 20 at the corresponding flow rate. The power consumption unit is a value obtained by dividing the flow rate by the amount of power consumed. The load factor indicates the ratio of the gas flow rate when the maximum flow rate of the gas flowing out of the compressor 20 is set to 100%. For example, according to Table 1, it can be seen that power consumption of "x6" is required to flow out the maximum flow rate "y6". It can also be seen that when the flow rate is 0, power consumption of "x1" is consumed by the compressor 20. The power consumption unit may also be a value obtained by dividing the amount of power consumed by the flow rate.

[0029] As shown in FIG. 1, the control unit 104 includes an acquisition unit 110, a diagnosis unit 111, and a notification unit 112.

[0030] The acquisition unit 110 acquires a plurality of pieces of power data in chronological order, which are data related to the power consumption of the compressor 20. Specifically, the acquisition unit 110 acquires the plurality of pieces of power data in chronological order for each compressor 20 from the storage unit 103. That is, the acquisition unit 110 acquires the plurality of pieces of power data from the storage unit 103, which stores the plurality of pieces of power data in advance. Here, each of the plurality of pieces of power data includes the amount of power consumption of the equipment 20.

[0031] The acquisition unit 110 further acquires operation information related to the operation of the compressor 20. In this embodiment, the acquisition unit 110 acquires a performance table for each compressor 20 from the storage unit 103.

[0032] The diagnosing unit 111 diagnoses the operating efficiency of the compressor 20 based on the plurality of pieces of power data. More specifically, the diagnosing unit 111 diagnoses the operating efficiency based on the plurality of pieces of power data and the operation information. In this embodiment, the diagnosing unit 111 diagnoses the operating efficiency for each compressor 20 based on the corresponding plurality of pieces of power data and the operation information.

[0033] The diagnosis unit 111 calculates the standby power consumption of the compressor 20 to be diagnosed based on the operation information, i.e., the performance table. The diagnosis unit 111 diagnoses, among the multiple pieces of power data, power data that is equal to or less than the standby power consumption as power data with poor operating efficiency. Here, the standby power consumption is the value of the amount of power consumed when the compressor 20 is powered on, i.e., when power is being supplied from the distribution board 30 but when gas (air) is not being discharged.

[0034] When the standby power amount is a1, the diagnostic unit 111 extracts power data whose power consumption is equal to or less than the value "a1" from the plurality of power data D1, as shown in Fig. 2. For example, the diagnostic unit 111 extracts power data D1 measured during a period T1 represented by times t1 to t2, and whose power consumption is equal to or less than the value "a1", from the plurality of power data D1, as shown in Fig. 2. In other words, the diagnostic unit 111 diagnoses the power data D1 whose standby power amount is equal to or less than "a1" from the plurality of power data D1 as power data with poor operating efficiency.

[0035] The notification unit 112 notifies the diagnosis result of the diagnosis unit 111. Specifically, the notification unit 112 determines that there is power being wasted and notifies the total value of the amount of power consumption represented by the power data diagnosed as power data with poor operating efficiency. Furthermore, the notification unit 112 notifies that it is proposed to turn off the compressor 20, i.e., to put the compressor 20 into a state where no power is supplied from the distribution board 30, during the time period when the power data diagnosed as power data with poor operating efficiency was measured.

[0036] In this embodiment, the notification unit 112 causes the display unit 102 to display the total amount of power consumption represented by the power data diagnosed as having poor operating efficiency, and a suggestion to turn off the compressor 20 during the time period in which the power data diagnosed as having poor operating efficiency was measured.

[0037] (3) Operation Here, the operation of the equipment diagnosis device 11 as the equipment diagnosis system 10 of this embodiment will be described with reference to FIG.

[0038] The acquisition unit 110 of the equipment diagnosis device 11 performs an acquisition process (step S1). The acquisition unit 110 acquires a plurality of pieces of time-series power data for each compressor 20 from the storage unit 103.

[0039] The diagnosing unit 111 of the equipment diagnosing device 11 performs a diagnosing process (step S2). The diagnosing unit 111 performs the diagnosing process for each compressor 20. For each compressor 20, the diagnosing unit 111 uses the corresponding operation information to determine the standby power consumption of the corresponding compressor 20. For each compressor 20, the diagnosing unit 111 diagnoses, among the plurality of corresponding power data, the power data that is equal to or less than the corresponding standby power consumption as power data with poor operating efficiency.

[0040] The notification unit 112 of the equipment diagnosis device 11 performs notification processing (step S3). The notification unit 112 notifies the diagnosis result of the diagnosis unit 111. Specifically, the notification unit 112 notifies the total amount of power consumption represented by the power data with poor operating efficiency and a proposal to turn off the compressor 20 during the time period when the power data with poor operating efficiency was measured. In this embodiment, the notification unit 112 causes the display unit 102 to display the total amount of power consumption represented by the power data with poor operating efficiency and a proposal to turn off the compressor 20 during the time period when the power data with poor operating efficiency was measured.

[0041] (4) Advantages As described above, the equipment diagnosis system 10 of this embodiment includes the acquisition unit 110, the diagnosis unit 111, and the notification unit 112. The acquisition unit 110 acquires a plurality of pieces of power data related to the power consumption of the equipment 2 in chronological order. The diagnosis unit 111 diagnoses the operating efficiency of the equipment 2 based on the plurality of pieces of power data. The notification unit 112 notifies the diagnosis result of the diagnosis unit 111.

[0042] According to this configuration, since a plurality of pieces of power data are used, it is possible to diagnose the operating efficiency of the equipment 2 (compressor 20) even after installation.

[0043] (5) Variations Modifications are listed below. The modifications described below can be applied in appropriate combination with the above-described embodiment.

[0044] (5.1) Variation 1 In the above embodiment, the power data equal to or less than the standby power amount is diagnosed as power data with poor operating efficiency, but the present invention is not limited to this configuration.

[0045] The diagnosis unit 111 may diagnose power data that indicates a power consumption amount equal to or less than a predetermined amount as power data that indicates poor operating efficiency.

[0046] For example, the diagnosis unit 111 groups the plurality of corresponding power data for each compressor 20 so that the data is included in one of the plurality of sections. The diagnosis unit 111 creates a graph representing the relationship between the plurality of sections and the number of power data included in the corresponding section for each compressor 20 (see FIG. 4).

[0047] The diagnostic unit 111 calculates the average power consumption based on the remaining power data in the created graph, excluding the number of data points of power data equal to or less than the standby power consumption, i.e., the number of data points of power data in the section represented by power consumption 0 to a1. Here, the diagnostic unit 111 calculates the average total power consumption using the remaining bar graphs G1 to G5 of the bar graphs G0 to G5 shown in FIG. 4, excluding the bar graph G0 representing the number of data points of power data equal to or less than the standby power consumption. For example, the diagnostic unit 111 calculates the total power consumption for each section. Specifically, the diagnostic unit 111 multiplies the median value of each section by the number of data points to calculate the total power consumption for the corresponding section. The diagnostic unit 111 calculates the power consumption for the first section by multiplying the number of data points represented by the bar graph G1 (see FIG. 4) corresponding to the first section represented by power consumption a2 to a3 by the median value of the first section. The diagnostic unit 111 multiplies the number of data points represented by the bar graph G2 (see FIG. 4) corresponding to the second interval represented by the power consumption amounts a3 to a4 by the median value of the second interval to determine the power consumption amount for the second interval. The diagnostic unit 111 multiplies the number of data points represented by the bar graph G3 (see FIG. 4) corresponding to the third interval represented by the power consumption amounts a4 to a5 by the median value of the third interval to determine the power consumption amount for the third interval. The diagnostic unit 111 multiplies the number of data points represented by the bar graph G4 (see FIG. 4) corresponding to the fourth interval represented by the power consumption amounts a5 to a6 by the median value of the fourth interval to determine the power consumption amount for the fourth interval. The diagnostic unit 111 multiplies the number of data points represented by the bar graph G5 (see FIG. 4) corresponding to the fifth interval represented by the power consumption amounts a6 to a7 by the median value of the fifth interval to determine the power consumption amount for the fifth interval.

[0048] The diagnostic unit 111 calculates the total value of the power consumption calculated in each section (section 1 to section 5). The diagnostic unit 111 calculates the sum of the total values ​​of the power consumption in each section and divides the sum by the number of sections to calculate the average power consumption. The diagnostic unit 111 determines the predetermined power amount by adding a predetermined value α to the calculated average power amount, and diagnoses power data that represents power consumption equal to or less than the predetermined power amount as power data with poor operating efficiency. For example, if the predetermined power amount is a11, the diagnostic unit 111 diagnoses power amounts equal to or less than the predetermined power amount "a11" among the power amounts (power data) measured in a time series as power data with poor operating efficiency. For example, in a graph G11 (see FIG. 5) that represents power amounts (power data) in a time series, the diagnostic unit 111 diagnoses power data that is equal to or less than the power consumption amount "a11" as power data with poor operating efficiency.

[0049] Another determination method will be described below.

[0050] Similarly to the above, the diagnosis unit 111 groups, for each compressor 20, the plurality of corresponding power data so that they fall within one of the plurality of intervals. The diagnosis unit 111 creates a graph for each compressor 20, showing the relationship between the plurality of intervals and the number of power data included in the corresponding interval. The diagnosis unit 111 classifies the remaining power data, excluding the number of power data items equal to or less than the standby power amount, i.e., the number of power data items in the interval represented by the power consumption amounts 0 to a1, in the created graph, based on the remaining power data and the unsupervised learning model, so that the remaining intervals excluding the interval represented by the power consumption amounts 0 to a1 belong to either a class with good operating efficiency or a class with poor operating efficiency. The diagnosis unit 111 sets a boundary value obtained as a result of the classification as a predetermined power amount, and diagnoses power data that represents power consumption amounts equal to or less than the predetermined power amount as power data with poor operating efficiency.

[0051] (5.2) Variation 2 In the above embodiment, the operational information is configured to include a performance table that is information about the performance of the compressor 20, but is not limited to this configuration. The operational information may also include information about the type of the compressor 20. More specifically, the operational information may include rating information that is information about the type of the compressor 20. In other words, the operational information may include information about at least one of the performance and type of the compressor 20.

[0052] The rating information includes the type (classification) of the compressor 20, the maximum power consumption, and the flow rate of gas discharged at the maximum power consumption (maximum flow rate). The type of the compressor 20 refers to the operating method for sucking in and discharging gas. The types of compressors 20 include throttled suction screw type, oil-free screw type, turbo type, reciprocating type, and inverter type. Each type has a different ratio of power consumption at unloaded time to maximum power consumption. For example, the ratio of power consumption at unloaded time to maximum power consumption for a throttled suction screw type compressor is 40 to 50%. The ratio of power consumption at unloaded time to maximum power consumption for an oil-free screw type compressor is 20 to 30%. The ratio of power consumption at unloaded time to maximum power consumption for a turbo type compressor is 80 to 90%. The ratio of power consumption at unloaded time to maximum power consumption for a reciprocating type compressor is 0%. The ratio of power consumption at unloaded time to maximum power consumption for an inverter type compressor is 0%. Here, "unloaded" refers to a state in which the compressor 20 receives power from the distribution board 30 but does not emit gas. In other words, the amount of power consumed in the unloaded state refers to the amount of standby power.

[0053] The diagnosis unit 111 calculates the standby power consumption from the type and maximum power consumption of the compressor 20 included in the rating information. That is, the diagnosis unit 111 calculates the standby power consumption based on the maximum power consumption of the compressor 20 and the ratio of the power consumption during unloading to the maximum power consumption according to the type of the compressor 20.

[0054] (5.3) Variation 3 The diagnosing unit 111 may be configured to diagnose power data with poor operating efficiency based on the relationship between the gas flow rate and the amount of power consumption.

[0055] For example, when the operational information includes performance information relating to the performance of the compressor 20 (when the operational information includes a performance table), as shown in Table 1 above, a plurality of pairs each including a power consumption amount and a gas flow rate output from the compressor 20 are associated one-to-one with a plurality of load factors for the compressor 20. The diagnostic unit 111 calculates a relational expression representing the relationship between the gas flow rate and the power consumption amount based on a plurality of pairs of the gas flow rate and the power consumption amount, which correspond one-to-one with the plurality of load factors. Here, as shown in FIG. 6, the diagnostic unit 111 calculates a linear expression representing a graph G21 (a straight line G21) as the relational expression representing the relationship between the gas flow rate and the power consumption amount. The diagnostic unit 111 calculates a plurality of flow rates corresponding to each of the plurality of power data using the relational expression (linear expression). The diagnostic unit 111 diagnoses power data corresponding to a flow rate below a predetermined value among the calculated plurality of flow rates as power data with poor operational efficiency. Note that the diagnostic unit 111 is configured to calculate a linear expression as the relational expression representing the relationship between the gas flow rate and the power consumption amount, but is not limited to this configuration. The diagnostic unit 111 may calculate a nonlinear relational expression. For example, the diagnosis unit 111 may acquire a plurality of points where the slope changes, i.e., a plurality of pairs of gas flow rate and power consumption, and find a nonlinear equation with a changing slope based on the acquired plurality of pairs. Alternatively, the diagnosis unit 111 may acquire values ​​at three or more points and find a nonlinear equation by multiple regression analysis or the like.

[0056] Furthermore, for example, the diagnosis unit 111 may determine a relational expression representing the relationship between the gas flow rate and the power consumption amount based on the rated information described in Modification 2. In this case, the standby power consumption amount is determined based on the ratio of the power consumption amount during unloading to the maximum power consumption amount according to the type of compressor 20. A linear expression is determined as the relational expression representing the relationship between the gas flow rate and the power consumption amount from the pair of the standby power consumption amount and the flow rate "0" and the pair of the maximum power consumption amount and the maximum airflow amount included in the rated information. The diagnosis unit 111 determines a plurality of flow rates corresponding to each of the plurality of power data using the relational expression (linear expression). The diagnosis unit 111 diagnoses the power data corresponding to a flow rate below a predetermined value among the determined plurality of flow rates as power data with poor operating efficiency.

[0057] Alternatively, the diagnosing unit 111 may obtain a power consumption rate corresponding to each of the plurality of power data from the plurality of power data and the corresponding plurality of flow rates. The diagnosing unit 111 diagnoses the power data having poor operating efficiency among the plurality of power data based on the plurality of power consumption rates corresponding to the plurality of power data, respectively. For example, the relationship between time and the power consumption rate is graphed, and the diagnosing unit 111 diagnoses the power data corresponding to the power consumption rate that is found to be worsening among the plurality of power consumption rates over time as power data having poor operating efficiency.

[0058] (5.4) Variation 4 As shown in FIG. 7, the plurality of compressors 20 may be provided with a flow rate measuring device 201 that measures the flow rate of the gas that is discharged.

[0059] The flow rate measuring instrument 201 is configured to be able to communicate with the equipment diagnosis device 11. More specifically, the flow rate measuring instrument 201 is configured to be able to communicate with the communication unit 101 wirelessly or via a wire.

[0060] The flow rate measuring instruments 201 measure the flow rate of gas flowing out from the corresponding compressors 20. The flow rate measuring instruments 201 output the measured flow rate of gas to the equipment diagnosis device 11. The flow rate of gas measured by the flow rate measuring instruments 201 is a value obtained by integrating, over a fixed time period (for example, at one-hour intervals), a value that is measured by the corresponding compressor 20 and represents the instantaneous flow rate.

[0061] The communication unit 101 has a communication interface that can communicate with the flow rate measuring device 201 .

[0062] The storage unit 103 stores the flow rate data received from the flow rate measuring device 201 for each compressor 20 in chronological order.

[0063] The acquisition unit 110 acquires a plurality of flow rate data corresponding to each of the plurality of power data and representing the flow rate of gas output from the compressor 20. The acquisition unit 110 acquires the plurality of flow rate data for each compressor 20 from the storage unit 103. Here, the flow rate data corresponding to the power data is the flow rate data measured at the time the power data is measured.

[0064] The diagnosis unit 111 uses a plurality of flow rate data to extract, from the plurality of power data, power data that is diagnosed as having poor operating efficiency. For example, the diagnosis unit 111 extracts power data that corresponds to flow rate data where the flow rate is 0 as power data that has poor operating efficiency. Alternatively, the diagnosis unit 111 extracts power data that corresponds to flow rate data where the flow rate is equal to or less than a predetermined percentage of the maximum flow rate as power data that has poor operating efficiency.

[0065] The notification unit 112 causes the display unit 102 to display the total amount of power consumption represented by the power data extracted as power data with poor operating efficiency, and a suggestion to turn off the compressor 20 during the time period when the power data diagnosed as power data with poor operating efficiency was measured.

[0066] (5.5) Variation 5 In the fourth modification, the diagnosing unit 111 may further diagnose the degree of deterioration of the compressor 20.

[0067] When the operation information includes performance information that is information about the performance of the compressor 20 (when the operation information includes a performance table), as shown in Table 1 above, a plurality of pairs including the amount of power consumption and the flow rate of gas output from the compressor 20 are associated one-to-one with a plurality of load factors for the compressor 20. The diagnosis unit 111 determines a relational expression that expresses the relationship between the gas flow rate and the amount of power consumption based on a plurality of pairs of the gas flow rate and the amount of power consumption that correspond one-to-one to a plurality of load factors. Here, the diagnosis unit 111 determines a linear expression (first relational expression) as the relational expression that expresses the relationship between the gas flow rate and the amount of power consumption. Graph G31 (straight line G31) shown in FIG. 8 is a graph obtained from the determined linear expression (first relational expression).

[0068] Furthermore, the diagnosis unit 111 obtains a relational expression that expresses the relationship between the gas flow rate and the amount of power consumption, using a plurality of pieces of power data and a plurality of pieces of flow rate data corresponding to each of the plurality of pieces of power data. Here, the diagnosis unit 111 obtains a linear expression (second relational expression) that expresses the relationship between the gas flow rate and the amount of power consumption, using a plurality of pieces of power data and a plurality of pieces of flow rate data corresponding to each of the plurality of pieces of power data. Graph G32 (straight line G32) shown in FIG. 8 is a graph obtained from the linear expression (second relational expression) that expresses the relationship between the gas flow rate and the amount of power consumption.

[0069] Here, graph G31 is a graph obtained from a first relational expression obtained from the performance table, which expresses the relationship between the gas flow rate and the power consumption at the time of purchasing compressor 20. On the other hand, graph G32 is a graph obtained from a second relational expression which expresses the relationship between the gas flow rate and the power consumption after several years have passed.

[0070] Therefore, the diagnosis unit 111 uses the first relational expression and the second relational expression to diagnose whether the degree of deterioration of the compressor 20 is large compared to when it was purchased. That is, the diagnosis unit 111 uses the graph G31 obtained from the first relational expression and the graph G32 obtained from the second relational expression to diagnose whether the degree of deterioration of the compressor 20 is large compared to when it was purchased.

[0071] For example, when deterioration occurs, the amount of power consumed increases compared to when the compressor was purchased, even when the same flow rate is discharged. Therefore, when the difference between the current amount of power consumed at the same flow rate and the amount of power consumed at the time of purchase is equal to or greater than a predetermined value, the diagnosis unit 111 diagnoses that the degree of deterioration of the compressor 20 is greater than when the compressor was purchased.

[0072] The notification unit 112 notifies the user that the degree of deterioration of the compressor 20 is high as a diagnostic result. That is, the notification unit 112 causes the display unit 102 to display that the degree of deterioration of the compressor 20 is high as a diagnostic result.

[0073] (5.6) Variation 6 When one or more compressors 20 among the multiple compressors 20 are leaking gas, if there is a combination of compressors 20 that is efficient as a diagnosis result, the notification unit 112 may suggest that combination. In this case, when one or more compressors 20 among the multiple compressors 20 are operating, the diagnosis unit 111 outputs a total value equivalent to the total value of the flow rates of the one or more compressors 20, and if there is a combination of compressors 20 whose total power consumption value is smaller than the total power consumption value of the one or more compressors 20, extracts that combination. The notification unit 112 notifies the proposal to operate the extracted combination. Here, the combination may include not only two or more compressors 20, but also one compressor 20.

[0074] A specific example of the sixth modification will be described below.

[0075] The acquisition unit 110 acquires a plurality of pieces of power data from each of the plurality of compressors 20 (21 to 23).

[0076] For each compressor 20, the diagnostic unit 111 creates a flag representing the change in power consumption over time based on the acquired plurality of power data. In FIG. 9, graph G41 shows the change in power consumption of compressor 21, graph G42 shows the change in power consumption of compressor 22, and graph G43 shows the change in power consumption of compressor 23.

[0077] As shown in FIG. 9, at time t21, compressors 21 and 22 are discharging gas, and compressor 23 is not discharging gas. At this time, according to FIG. 9, the power consumption of compressor 21 is a21 (>0), the power consumption of compressor 22 is a22 (0 < a22 < a21), and the power consumption of compressor 23 is 0. Here, the load factor of compressor 22 is less than 100%.

[0078] Based on the relationship between the flow rate and power consumption in the performance table included in the operation information, the diagnostic unit 111 obtains the flow rate "f21" corresponding to the power consumption "a21" consumed by compressor 21 and the flow rate "f22" corresponding to the power consumption "a22" consumed by compressor 22.

[0079] The diagnostic unit 111 extracts one compressor or a combination of two or more compressors that satisfy both the first condition and the second condition from the remaining compressors 22 and 23 excluding the compressor 21 (first compressor) with the highest power consumption among the plurality of compressors 21 to 23. Here, the first condition is to output a flow rate equivalent to the flow rate of the gas output from the first compressor. The second condition is that the total power consumption is less than the power consumption of the first compressor.

[0080] Specifically, the diagnosis unit 111 sets the flow rate of gas flowing out of the compressor 21 to 0, i.e., the power consumption of the compressor 21 to 0. Then, the diagnosis unit 111 changes the flow rates of gas of the compressors 22 and 23, i.e., changes the power consumption of the compressors 22 and 23, through simulation. The diagnosis unit 111 extracts one compressor or a combination of two or more compressors that satisfies both the first and second conditions. For example, a combination of two or more compressors satisfies the first and second conditions when the sum of the change in the gas flow rate of the compressor 22 and the change in the gas flow rate of the compressor 23 is equal to the gas flow rate “f21” output from the compressor 21, and the sum of the change in the power consumption of the compressor 22 and the change in the power consumption of the compressor 23 is smaller than the power consumption “a21” of the compressor 21.

[0081] When there is one compressor or a combination of two or more compressors that satisfies both the first condition and the second condition, the diagnosis unit 111 determines as a diagnosis result that there is another combination of two or more compressors 20 with good operating efficiency.

[0082] The notification unit 112 notifies the diagnosis unit 111 of a proposal to operate one compressor or a combination of two or more compressors extracted by the diagnosis unit 111 instead of operating the first compressor (for example, compressor 21). At this time, the notification unit 112 also notifies the diagnosis unit 111 of how much power consumption can be saved compared to operating the first compressor.

[0083] (5.7) Variation 7 In the above embodiment, the storage unit 103 is configured to store the operation information in advance, but the present invention is not limited to this configuration. It is not essential for the storage unit 103 to store the operation information in advance.

[0084] In this case, when diagnosing the compressor 20, the acquisition unit 110 may acquire the operation information from a user operation or an external terminal configured to be able to communicate with the equipment diagnosis device 11. Here, the external terminal is a smartphone, a tablet terminal, a personal computer, or the like.

[0085] (5.8) Variation 8 In the above embodiment, the diagnosis unit 111 is configured to use the operation information to determine the standby power consumption as a threshold for identifying the compressor 20 with poor operating efficiency. However, the present invention is not limited to this configuration.

[0086] The diagnosing unit 111 may identify a compressor 20 with poor operating efficiency without the acquiring unit 110 acquiring operation information, i.e., the acquiring unit 110 acquiring only a plurality of power data. In this case, the diagnosing unit 111 determines a predetermined threshold as the standby power amount without depending on the compressor 20. Alternatively, the diagnosing unit 111 determines the standby power amount based on a predetermined threshold without depending on the compressor 20.

[0087] (5.9) Variation 9 The notification unit 112 may further notify a request for diagnostic use data that is different from the plurality of power data and is used by the diagnosis unit 111, and the merits of diagnosis using the diagnostic use data.

[0088] The diagnostic usage data may include, for example, at least one of performance information, rating information, and flow rate data.

[0089] For example, as described in Modification 8, the diagnosing unit 111 can diagnose the compressor 20 without the acquiring unit 110 acquiring operation information, i.e., a performance table or rating information. However, because the standby power amount used for the diagnosis is calculated using a threshold that is independent of the compressor 20, the accuracy of the diagnosis is lower than when operation information corresponding to the compressor 20 is used. Therefore, the notifying unit 112 requests performance information or rating information as diagnostic use data, and notifies the user of the advantage that the accuracy of the diagnosis using the standby power amount is improved by using the performance information or rating information.

[0090] Furthermore, for example, by using a plurality of pieces of flow rate data in addition to a plurality of pieces of power data, it becomes possible to diagnose the degree of deterioration of the compressor 20. Therefore, the notification unit 112 requests the flow rate data as diagnostic use data, and notifies the user of the advantage that the degree of deterioration of the compressor 20 can be diagnosed by using the flow rate data.

[0091] (5.10) Variation 10 The diagnosing unit 111 may score the operating efficiency of the compressor 20 for each predetermined unit. In this case, the notifying unit 112 notifies the score of the operating efficiency for each predetermined unit as the diagnosis result.

[0092] Here, the predetermined unit is a unit that can be a factor in saving power consumption in the compressor 20. For example, the predetermined unit is a time period, a day of the week, a public holiday, or the like.

[0093] The diagnosis unit 111 diagnoses the operation efficiency of the compressor 20 by scoring the operation efficiency of the compressor 20 for each predetermined unit based on one or more pieces of power data corresponding to the corresponding unit. Specifically, the diagnosis unit 111 scores the operation efficiency of the compressor 20 for each predetermined unit by calculating the importance of each feature in a learning model including a plurality of factors (features) with factors of saving power consumption as features.

[0094] For example, the diagnosis unit 111 classifies, for each time period obtained by dividing a 24-hour day into one-hour intervals, two or more pieces of power data for a month, into power data with good operating efficiency and power data with poor operating efficiency based on the amount of standby power consumption, among a plurality of pieces of power data for a corresponding time period. The diagnosis unit 111 calculates an evaluation value for each group classified according to a predetermined algorithm. The diagnosis unit 111 calculates an evaluation value for the accuracy of the classification based on the evaluation value for each group. In a learning model including a plurality of factors (features), the diagnosis unit 111 calculates the importance of each feature using the evaluation value for the accuracy of the classification.

[0095] Furthermore, for each day of the week, the diagnosis unit 111 classifies two or more pieces of power data for the corresponding day of the week out of the multiple pieces of power data for one month into power data with good operating efficiency and power data with poor operating efficiency based on the standby power amount. As described above, the diagnosis unit 111 calculates an evaluation value for the accuracy of the classification, and further calculates the importance of each feature in a learning model including multiple factors (features) using the evaluation value for the accuracy of the classification.

[0096] Furthermore, for each of the multiple pieces of power data for one month for weekdays and holidays, the diagnosis unit 111 classifies two or more pieces of power data corresponding to weekdays or holidays into power data with good operating efficiency and power data with poor operating efficiency based on the amount of standby power. As described above, the diagnosis unit 111 calculates an evaluation value for the accuracy of the classification, and further calculates the importance of each feature in a learning model including multiple factors (features) using the evaluation value for the accuracy of the classification.

[0097] In the tenth modification, the diagnostic unit 111 is configured to classify the power data into those with good operating efficiency and those with poor operating efficiency based on the standby power consumption, that is, to perform labeling and calculate the importance, but is not limited to this configuration. The diagnostic unit 111 may calculate the importance using the power consumption as an index of efficiency without performing labeling.

[0098] (5.11) Variation 11 In the above embodiment, the acquiring unit 110 is configured to acquire a plurality of pieces of power data stored in advance in the storage unit 103, that is, a plurality of pieces of power data measured in the past, but the present invention is not limited to this configuration.

[0099] The acquiring unit 110 may acquire each of the plurality of power data in real time from the measuring device 40 that measures the plurality of power data.

[0100] This allows the operating efficiency of the compressor 20 to be determined in real time.

[0101] (5.12) Variation 12 The notification unit 112 may notify the diagnosis result by voice using a speaker provided in the equipment diagnosis device 11.

[0102] Alternatively, the notification unit 112 may transmit the diagnosis result to an external terminal.

[0103] (5.13) Variation 13 In the above embodiment, the equipment diagnosis device 11 is configured to diagnose the compressor 20 based on the amount of power consumption, but the present invention is not limited to this configuration.

[0104] The equipment diagnosis device 11 may use electric power (power consumption) that indicates instantaneous electric power. In this case, the flow rate of gas is the flow rate that flows out instantaneously.

[0105] For example, in the performance table shown in the embodiment, power consumption is associated with each load factor. Also, each load factor is associated with a flow rate that is instantaneously discharged, i.e., a flow rate of gas discharged at the corresponding power consumption. Furthermore, the rating information shown in Modification 2 associates the maximum power consumption of the compressor 20 with the maximum flow rate of gas output from the compressor 20 at the maximum power consumption.

[0106] (Other variations) The above embodiment is merely one of various embodiments of the present disclosure, and various modifications can be made to the above embodiment depending on the design and the like as long as the object of the present disclosure can be achieved.

[0107] Furthermore, functions similar to those of the equipment diagnosis system 10 may be embodied in an equipment diagnosis method, a computer program, or a non-transitory recording medium on which a program is recorded. The equipment diagnosis method according to one aspect includes an acquisition step, a diagnosis step, and a notification step. In the acquisition step, a plurality of time-series power data related to the power consumption of the equipment 2 is acquired. In the diagnosis step, the operating efficiency of the equipment 2 is diagnosed based on the plurality of power data. In the notification step, the diagnosis result from the diagnosis step is notified. The program according to one aspect is a program for causing a computer system to function as the above-mentioned equipment diagnosis method.

[0108] The equipment diagnosis system 10 of the present disclosure includes a computer system. The computer system is primarily composed of a processor and memory as hardware. The processor executes a program stored in the memory of the computer system to realize the functions of the equipment diagnosis system 10 of the present disclosure. The program may be pre-stored in the memory of the computer system, provided via a telecommunications line, or provided on a non-transitory recording medium readable by the computer system, such as a memory card, optical disk, or hard disk drive. The processor of the computer system is composed of one or more electronic circuits, including a semiconductor integrated circuit (IC) or a large-scale integrated circuit (LSI). The integrated circuits, such as ICs and LSIs, are referred to by different names depending on the degree of integration, and include integrated circuits called system LSIs, very large-scale integrations (VLSIs), and ultra-large-scale integrations (ULSIs). Furthermore, field-programmable gate arrays (FPGAs), which are programmable after the LSI is manufactured, or logic devices capable of reconfiguring the connections within the LSI or the circuit partitions within the LSI, can also be used as processors. The electronic circuits may be integrated into one chip or distributed across multiple chips. The chips may be integrated into one device or distributed across multiple devices. The computer system referred to here includes a microcontroller having one or more processors and one or more memories. Therefore, the microcontroller is also composed of one or more electronic circuits including a semiconductor integrated circuit or a large-scale integrated circuit.

[0109] Furthermore, it is not essential for the equipment diagnosis system 10 that multiple functions are concentrated in one housing, and the components of the equipment diagnosis system 10 may be distributed across multiple housings. Furthermore, at least some of the functions of the equipment diagnosis system 10 may be realized by the cloud (cloud computing) or the like.

[0110] (summary) As described above, the equipment diagnosis system (10) of the first aspect includes an acquisition unit (110), a diagnosis unit (111), and a notification unit (112). The acquisition unit (110) acquires a plurality of time-series power data related to the power consumption of the equipment (2). The diagnosis unit (111) diagnoses the operating efficiency of the equipment (2) based on the plurality of power data. The notification unit (112) notifies the diagnosis result of the diagnosis unit (111).

[0111] According to this embodiment, since a plurality of pieces of power data are used, it is possible to diagnose the operating efficiency of the equipment (2) even after installation.

[0112] In the equipment diagnosis system (10) of the second aspect, the acquisition unit (110) in the first aspect further acquires operation information related to the operation of the equipment (2). The diagnosis unit (111) diagnoses the operation efficiency based on the plurality of power data and the operation information.

[0113] According to this embodiment, the operational efficiency of the equipment (2) can be diagnosed even after installation.

[0114] In the equipment diagnostic system (10) of the third aspect, in the second aspect, the operation information includes information on at least one of the performance and type of the equipment (2). A diagnostic unit (111) calculates the standby power consumption of the equipment (2) using the operation information, and diagnoses, among the plurality of power data, power data that is equal to or less than the standby power consumption as power data with poor operating efficiency.

[0115] According to this embodiment, the operational efficiency of the equipment (2) can be diagnosed using the standby power consumption.

[0116] In the equipment diagnostic system (10) of the fourth aspect, the equipment (2) is a compressor (20) in the third aspect. The operation information includes performance information that is information on at least the performance of the compressor (20). In the performance information, a plurality of pairs each including an amount of power consumption and a flow rate of gas output from the compressor are associated one-to-one with a plurality of load factors for the compressor (20). The diagnostic unit (111) determines a relational expression between the amount of power consumption and the flow rate based on the plurality of pairs, and determines a plurality of flow rates corresponding to each of the plurality of pieces of power data using the relational expression.

[0117] According to this embodiment, it is possible to diagnose the operating efficiency of the equipment (2) based on a plurality of flow rates corresponding to each of a plurality of pieces of power data.

[0118] In the equipment diagnostic system (10) of a fifth aspect, in the third or fourth aspect, the equipment (2) is a compressor (20). The operation information includes at least rating information, which is information about the performance of the compressor (20). The rating information associates a maximum power consumption for the compressor (20) with a maximum flow rate of gas output from the compressor (20) at the maximum power consumption. The diagnostic unit (111) determines, based on the maximum power consumption, the standby power consumption of the compressor when the flow rate of gas output from the compressor (20) is zero. The diagnostic unit (111) determines a relational expression between the power consumption and the gas flow rate, using a pair of the maximum power consumption and the maximum flow rate, and a pair of the standby power consumption and the gas flow rate corresponding to the standby power consumption. The diagnostic unit (111) determines, using the relational expression, a plurality of gas flow rates corresponding to each of a plurality of pieces of power data.

[0119] According to this embodiment, it is possible to diagnose the operating efficiency of the equipment (2) based on a plurality of flow rates corresponding to each of a plurality of pieces of power data.

[0120] In a sixth aspect of the equipment diagnostic system (10), in any one of the second to fifth aspects, the equipment (2) is a compressor (20). An acquisition unit (110) acquires a plurality of flow rate data corresponding to each of the plurality of power data, the flow rate data representing a flow rate of gas output from the compressor (20). A diagnosis unit (111) uses the plurality of flow rate data to extract, from the plurality of power data, power data that is diagnosed as having poor operating efficiency.

[0121] According to this embodiment, the operational efficiency of the equipment (2) can be diagnosed based on a plurality of flow rate data corresponding to each of a plurality of power data.

[0122] In the equipment diagnostic system (10) of the seventh aspect, in any one of the second to sixth aspects, the diagnosing unit (111) diagnoses deterioration of the equipment (2) based on a plurality of pieces of power data and operation information.

[0123] According to this embodiment, the deterioration of the equipment (2) can be diagnosed as a diagnosis of the operation efficiency of the equipment (2).

[0124] In an eighth aspect of the equipment diagnosis system (10), in any one of the second to seventh aspects, the equipment (2) is a compressor (20). Each of the plurality of pieces of power data includes the amount of power consumed by the equipment (2). The acquisition unit (110) acquires the plurality of pieces of power data from each of the plurality of compressors (20). When one or more of the plurality of compressors (20) are operating, the diagnosis unit (111) outputs a total value equivalent to the total value of the flow rates of the one or more compressors (20) and, if there is a combination of compressors whose total power consumption value is smaller than the total power consumption value of the one or more compressors (20), extracts the combination. The notification unit (112) notifies a proposal to operate the extracted combination.

[0125] According to this embodiment, in order to diagnose the operating efficiency of the equipment (2), it is possible to propose the operation of one compressor (20) or a combination of two or more compressors (20) that has better operating efficiency than when the first compressor is operated.

[0126] In the equipment diagnosis system (10) of a ninth aspect, in any of the first to eighth aspects, the notification unit (112) further notifies a request for diagnostic use data that is different from the plurality of power data and is used by the diagnosis unit (111), and the merits of diagnosis using the diagnostic use data.

[0127] According to this aspect, by notifying the user of the request for diagnostic use data and the merits of the diagnosis, it is possible to encourage the user to diagnose the equipment (2) using the diagnostic use data.

[0128] In the equipment diagnostic system (10) of a tenth aspect, in any one of the first to ninth aspects, the diagnosing unit (111) scores the operation efficiency of the equipment (20) for each predetermined unit. The notifying unit (112) notifies the score of the operation efficiency for each predetermined unit as the diagnosis result.

[0129] According to this embodiment, by notifying the user of the score of the operation efficiency, the user can easily know whether the operation efficiency of the equipment (2) is good or bad.

[0130] In an equipment diagnosis system (10) of an eleventh aspect, in any one of the first to tenth aspects, an acquisition unit (110) acquires each of the plurality of power data in real time from a measurement device (40) that measures the plurality of power data.

[0131] According to this embodiment, the operational efficiency of the equipment (2) can be diagnosed in real time.

[0132] In the equipment diagnosis system (10) of the twelfth aspect, in any one of the first to tenth aspects, the acquisition unit (110) acquires a plurality of pieces of power data from the storage unit (103) that stores the plurality of pieces of power data in advance.

[0133] According to this embodiment, the operational efficiency of the equipment (2) can be diagnosed based on power data measured in the past.

[0134] The equipment diagnosis method of the thirteenth aspect includes an acquisition step, a diagnosis step, and a notification step. In the acquisition step, a plurality of time-series power data related to the power consumption of the equipment (2) is acquired. In the diagnosis step, the operating efficiency of the equipment (2) is diagnosed based on the plurality of power data. In the notification step, the diagnosis result of the diagnosis step is notified.

[0135] According to this embodiment, since a plurality of pieces of power data are used, it is possible to diagnose the operating efficiency of the equipment (2) even after installation.

[0136] A program according to a fourteenth aspect is a program for causing one or more processors to execute the equipment diagnosis method according to the thirteenth aspect.

[0137] According to this embodiment, since a plurality of pieces of power data are used, it is possible to diagnose the operating efficiency of the equipment (2) even after installation. [Explanation of symbols]

[0138] 2 Equipment 10 Equipment diagnostic system 11 Equipment diagnostic equipment 20, 21, 22, 23 Compressor 40 Measuring Equipment 110 Acquisition Department 111 Diagnostic Department 112 Notification Department

Claims

1. an acquisition unit that acquires a plurality of pieces of power data related to power consumption of the equipment in a time series; a diagnosis unit that diagnoses the operation efficiency of the equipment based on the plurality of power data; a notification unit that notifies the diagnosis result of the diagnosis unit, Equipment diagnostic system.

2. The acquisition unit further acquires operation information related to an operation of the equipment, the diagnosing unit diagnoses the operational efficiency based on the plurality of power data and the operational information. The equipment diagnosis system according to claim 1 .

3. the operational information includes information regarding at least one of the performance and type of the equipment; the plurality of pieces of power data include the amount of power consumed by the facility, The diagnostic unit calculating a standby power amount of the equipment using the operation information; diagnosing, among the plurality of power data, power data that is equal to or less than the standby power amount as power data with poor operating efficiency; The equipment diagnosis system according to claim 2 .

4. the equipment is a compressor, the operational information includes at least performance information that is information regarding the performance of the compressor; In the performance information, a plurality of load factors for the compressor are associated one-to-one with a plurality of pairs including the amount of power consumption and a flow rate of gas output from the compressor, The diagnostic unit determining a relational expression between the amount of power consumption and the flow rate based on the plurality of pairs; Using the relational expression, a plurality of flow rates corresponding to each of the plurality of power data are calculated. The equipment diagnosis system according to claim 3 .

5. the equipment is a compressor, the operational information includes at least rating information that is information regarding the performance of the compressor; The rating information associates a maximum power consumption amount for the compressor with a maximum flow rate of gas output from the compressor at the maximum power consumption amount, The diagnostic unit calculating a standby power consumption of the compressor when a flow rate of the gas output from the compressor is 0 based on the maximum power consumption; determining a relational expression between the amount of power consumption and the flow rate of the gas using a pair of the maximum amount of power consumption and the maximum flow rate, and a pair of the amount of standby power consumption and the flow rate of the gas corresponding to the amount of standby power consumption; Using the relational expression, a plurality of flow rates of the gas corresponding to each of the plurality of power data are obtained. The equipment diagnosis system according to claim 3 .

6. the equipment is a compressor, the acquisition unit acquires a plurality of flow rate data corresponding to each of the plurality of power data, the flow rate data representing a flow rate of gas output from the compressor; the diagnosing unit uses the plurality of flow rate data to extract, from the plurality of power data, power data that is diagnosed as having poor operational efficiency. The equipment diagnosis system according to claim 2 .

7. the diagnosing unit diagnoses deterioration of the equipment based on the plurality of power data and the operation information. The equipment diagnosis system according to claim 2 .

8. the equipment is a compressor, each of the plurality of power data includes an amount of power consumption of the facility; the acquisition unit acquires the plurality of pieces of power data from each of the plurality of compressors; The diagnostic unit When one or more of the plurality of compressors are operating, if there is a combination of compressors that outputs a total value equivalent to the total value of the flow rates of the one or more compressors and has a total power consumption value that is smaller than the total power consumption value of the one or more compressors, extracting the combination; The notification unit notifies a proposal to operate the extracted combination. The equipment diagnosis system according to claim 2 .

9. the notification unit further notifies a request for diagnostic use data, which is different from the plurality of power data and is used by the diagnosis unit, and an advantage of diagnosis using the diagnostic use data. The equipment diagnosis system according to claim 1 .

10. The diagnosing unit scores the operational efficiency of the equipment for each predetermined unit, the notification unit notifies the operator of a score of the operational efficiency for each predetermined unit as the diagnosis result. The equipment diagnosis system according to claim 1 .

11. the acquiring unit acquires each of the plurality of pieces of power data in real time from a measuring device that measures the plurality of pieces of power data; The equipment diagnosis system according to claim 1 .

12. the acquiring unit acquires the plurality of pieces of power data from a storage unit that stores the plurality of pieces of power data in advance; The equipment diagnosis system according to claim 1 .

13. an acquisition step of acquiring a plurality of pieces of time-series power data related to the amount of power consumed by the equipment; a diagnosis step of diagnosing the operation efficiency of the equipment based on the plurality of power data; a notification step of notifying the diagnosis result in the diagnosis step, Equipment diagnostic methods.

14. A program for causing one or more processors to execute the equipment diagnosis method according to claim 13.

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