JP2019143928A - Abnormality detection device, abnormality detection system, abnormality detection method, and program - Google Patents

Abstract

To detect an abnormality of an air conditioning system with high accuracy.SOLUTION: A data acquisition section 101 acquires air conditioning data including a set value of air conditioning control and a measurement value of the air conditioning control from at least one air conditioning system. A heat load calculation section 103 calculates heat load in an air conditioning object space of the air conditioning system to be an acquisition source of the air conditioning data when acquiring the air conditioning data on the basis of the air conditioning data. A data classification section 104 classifies the air conditioning data into two or more groups on the basis of the set value included in the air conditioning data and the heat load calculated for the air conditioning data. When first air conditioning data is acquired from a first air conditioning system, an abnormality discrimination section 107 discriminates whether an abnormality occurs in the first air conditioning system on the basis of the measurement value included in the first air conditioning data and a standard value corresponding to a first group to be a group to which the first air conditioning data belongs of the two or more groups.SELECTED DRAWING: Figure 2

Description

  The present invention relates to an abnormality detection device, an abnormality detection system, an abnormality detection method, and a program.

  Currently, there is known a technique for collecting air-conditioning data including set values related to air-conditioning control and measured values related to air-conditioning control from the air-conditioning system and detecting an abnormality in the air-conditioning system based on the collected air-conditioning data. For example, Patent Document 1 describes an abnormality detection system that detects an abnormality of an air conditioner by comparing operation state data corresponding to the measurement value in consideration of an operation condition corresponding to the set value. Yes.

  The abnormality detection system described in Patent Document 1 accumulates operation condition data and operation state data indicating operation conditions, and among the current operation state data and the accumulated operation state data, the operation condition is the current operation. The state data is compared with similar operation state data. Here, Patent Document 1 describes that the operating condition is at least one of an activation state of the indoor unit, an operation mode of the indoor unit, an outside air temperature, and an indoor temperature. Patent Document 1 describes that the operation state data is at least one of the degree of supercooling, the low pressure, the high pressure, the outside temperature, the room temperature, and the compressor speed of the refrigeration cycle of the air conditioner. Has been.

JP 2006-275411 A

  Here, the operation state data depends not only on the operation condition described in Patent Document 1, but also on the heat load of the air-conditioning target space. That is, even if the operation conditions are the same, the operation state data is different when the heat load of the air-conditioning target space is different. However, in the abnormality detection system described in Patent Document 1, the heat load of the air-conditioning target space is not taken into consideration, and the accuracy of abnormality detection cannot be increased. For this reason, the technique which detects the abnormality of an air conditioning system with high precision is desired.

  The present invention has been made in view of the above problems, and an object thereof is to provide an abnormality detection device, an abnormality detection system, an abnormality detection method, and a program for detecting an abnormality of an air conditioning system with high accuracy.

In order to achieve the above object, the abnormality detection device according to the present invention is:
Data acquisition means for acquiring air conditioning data including a set value related to air conditioning control and a measured value related to air conditioning control from at least one air conditioning system;
Based on the air conditioning data, thermal load calculating means for calculating the thermal load of the air conditioning target space of the air conditioning system from which the air conditioning data was acquired when acquiring the air conditioning data;
Data classification means for classifying the air conditioning data into two or more groups based on a set value included in the air conditioning data and a thermal load calculated for the air conditioning data;
When the data acquisition means acquires the first air conditioning data as the air conditioning data from the first air conditioning system of the at least one air conditioning system, the measured value included in the first air conditioning data, and the two or more Abnormality determining means for determining whether or not there is an abnormality in the first air conditioning system, based on a standard value corresponding to the first group to which the first air conditioning data belongs among ,
Display means for displaying predetermined information when the abnormality determining means determines that there is an abnormality in the first air conditioning system;

  In the present invention, it is determined whether or not there is an abnormality in the air conditioning system based on the measured value included in the acquired air conditioning data and the standard value specified in consideration of the set value and the thermal load. . Therefore, according to the present invention, an abnormality of the air conditioning system can be detected with high accuracy.

Configuration diagram of an abnormality detection system according to Embodiment 1 Functional block diagram of the abnormality detection apparatus according to the first embodiment Diagram showing air conditioning data Diagram showing standard value calculation data Figure showing the abnormality notification screen The flowchart which shows the abnormality detection process which the abnormality detection apparatus which concerns on Embodiment 1 performs. The flowchart which shows the heat load calculation process shown in FIG. The flowchart which shows the standard value calculation process shown in FIG. Flowchart showing the abnormality determination process shown in FIG. The flowchart which shows the heat load calculation process which the abnormality detection apparatus which concerns on Embodiment 2 performs. Functional block diagram of the abnormality detection apparatus according to the third embodiment The flowchart which shows the standard value calculation process which the abnormality detection apparatus which concerns on Embodiment 3 performs. Configuration diagram of an abnormality detection system according to Embodiment 4 Functional block diagram of an abnormality detection apparatus according to Embodiment 4 The flowchart which shows the control content determination process which the abnormality detection apparatus which concerns on Embodiment 4 performs.

(Embodiment 1)
First, an abnormality detection system 1000 according to an embodiment of the present invention will be described with reference to FIG. The abnormality detection system 1000 is a system that detects an abnormality of at least one air conditioning system 300 based on air conditioning data acquired from at least one air conditioning system 300. More specifically, first, the abnormality detection system 1000 accumulates air conditioning data acquired from at least one air conditioning system 300. Then, the abnormality detection system 1000 determines whether the detection target air conditioning system 300 is abnormal based on the air conditioning data acquired from the detection target air conditioning system 300 and the comparison target air conditioning data among the accumulated air conditioning data. Determine whether or not. The accumulated air conditioning data is grouped by set value and thermal load. The air conditioning data to be compared is air conditioning data belonging to the same group as the air conditioning data acquired from the air conditioning system 300 to be detected among the accumulated air conditioning data.

  The air conditioning data includes a set value related to air conditioning control (hereinafter simply referred to as “set value”) and a measured value related to air conditioning control (hereinafter simply referred to as “measured value”). The set value is a value indicating the content of the air conditioning setting during air conditioning control. The set value is, for example, a value indicating at least one of an operation mode, a set temperature, a wind direction, and a wind speed. The operation mode is, for example, a type of cooling, heating, dehumidification, or blowing. The set temperature is, for example, a target temperature set in air conditioning. The wind direction is the direction of the wind emitted from the indoor unit 310, for example. The wind speed is, for example, the speed of the wind emitted from the indoor unit 310.

  The measured value is a value measured by a sensor for detecting the operating state of the air conditioning system 300. The measured value is, for example, a value indicating at least one of a suction temperature, a blowing temperature, an expansion valve pressure, and a refrigerant temperature. The suction temperature is, for example, the temperature of the air that the indoor unit 310 sucks. The blowing temperature is, for example, the temperature of air blown out by the indoor unit 310. The pressure of the expansion valve is, for example, a pressure applied to the expansion valve provided in the heat exchanger. The temperature of the refrigerant is, for example, the temperature of the refrigerant that flows through the piping provided in the heat exchanger.

  Here, if the contents of the air conditioning setting change, the value measured by the sensor basically changes. That is, the measured value depends on the set value. Also, if the amount of heat load in the air-conditioning target space (hereinafter referred to as “heat load” as appropriate) changes, the value measured by the sensor basically changes. That is, the measured value also depends on the heat load. For this reason, when detecting an abnormality in the air conditioning system 300, the measured value included in the acquired air conditioning data is acquired from the air conditioning data accumulated when there is no abnormality in the air conditioning system 300 as the set value and the thermal load. It is preferable to determine whether or not the measured value is the same as the measured value included in the air-conditioning data that is the same level as the air-conditioning data. Therefore, in the present embodiment, the accumulated air conditioning data is classified by the set value and the heat load, and the measured value included in the acquired air conditioning data and the acquired air conditioning data among the accumulated air conditioning data The standard value obtained from the measurement value included in the air conditioning data belonging to the same group is compared.

  As shown in FIG. 1, the abnormality detection system 1000 includes an abnormality detection device 100 and a display device 200. The abnormality detection device 100 and the display device 200 are connected to each other via a network (not shown). The abnormality detection device 100 and at least one air conditioning system 300 are connected to each other via the data collection device 340 and the wide area network 600.

  The abnormality detection device 100 is a device that forms the core of the abnormality detection system 1000 and detects an abnormality in at least one air conditioning system 300. When the measured value included in the air conditioning data acquired from an air conditioning system 300 continues to be significantly different from the standard value associated with the group to which the acquired air conditioning data belongs, the abnormality detection apparatus 100 It is determined that 300 is abnormal. The accumulated air conditioning data is basically air conditioning data acquired when the air conditioning system 300 is normal, and it is assumed that the measurement values included in the accumulated air conditioning data are normal. Abnormalities in the air conditioning system 300 are, for example, fan deformation, compressor failure, refrigerant leakage, circulating air leakage, sensor mounting position or angle abnormality, and presence of foreign matter in the piping. The abnormality detection device 100 detects these abnormalities by discriminating measurement values included in the air conditioning data.

  The abnormality detection device 100 requests air conditioning data from the data collection device 340 at a predetermined cycle, and acquires the air conditioning data of the air conditioning system 300 from the data collection device 340. This period is, for example, 1 minute. The abnormality detection apparatus 100 includes, for example, a processor 11, a flash memory 12, an LED (Light Emitting Diode) 13, a first communication interface 14, and a second communication interface 15.

  The processor 11 controls the overall operation of the abnormality detection device 100. The processor 11 is, for example, a CPU (Central Processing Unit) incorporating a ROM (Read Only Memory), a RAM (Random Access Memory), an RTC (Real Time Clock), and the like. The CPU operates according to a basic program stored in the ROM, for example, and uses the RAM as a work area. The flash memory 12 is a non-volatile memory that stores various types of information. The flash memory 12 stores, for example, an application program executed by the processor 11 and air conditioning data acquired from the air conditioner system.

  The LED 13 is an element that emits light according to control by the processor 11. The LED 13 has a function of notifying the user that there is an abnormality in the air conditioning system 300 by emitting light with a predetermined lighting pattern. The number of LEDs 13 included in the abnormality detection apparatus 100 may be one or two or more. The first communication interface 14 is an interface for connecting the abnormality detection device 100 to the display device 200. The first communication interface 14 is, for example, an interface for USB (Universal Serial Bus). The second communication interface 15 is an interface for connecting the abnormality detection device 100 to the wide area network 600. The second communication interface 15 includes, for example, a LAN (Local Area Network) interface such as a NIC (Network Interface Card).

  The display device 200 is a device that displays a screen that presents various types of information to the user. The display device 200 displays, for example, a screen for notifying that there is an abnormality in the air conditioning system 300 (hereinafter, referred to as “abnormality notification screen” as appropriate) in accordance with an instruction from the abnormality detection device 100. The display device 200 includes, for example, a processor 21, a touch screen 22, and a communication interface 23.

  The processor 21 controls the overall operation of the display device 200. The processor 21 is, for example, a CPU incorporating a ROM, a RAM, an RTC, and the like. The touch screen 22 is a user interface of the display device 200. The touch screen 22 detects an operation performed by the user and supplies a signal indicating the detection result to the processor 21. The touch screen 22 displays a screen for presenting information to the user according to control by the processor 21. The touch screen 22 can present more detailed information than the LED 13. The communication interface 23 is an interface for connecting the display device 200 to the abnormality detection device 100. The communication interface 23 is a USB interface, for example.

  The air conditioning system 300 is a system that performs air conditioning of the air conditioning target space, and is a system that is an abnormality detection target. The air conditioning system 300 includes an indoor unit 310, an outdoor unit 320, and a system controller 330. The indoor unit 310 is an air conditioner disposed inside the air conditioning target space. The outdoor unit 320 is an air conditioner disposed outside the air conditioning target space. The indoor unit 310 and the outdoor unit 320 include a sensor for acquiring a measurement value. Moreover, the indoor unit 310 acquires information indicating the content of the operation received from the user from the remote controller included in the indoor unit 310. The system controller 330 is a device that controls the overall operation of the air conditioning system 300. The indoor unit 310, the outdoor unit 320, and the system controller 330 can communicate with each other by wireless communication or wired communication. In the present embodiment, it is assumed that two or more air conditioning systems 300 having the same configuration exist in the same building.

  The system controller 330 determines a setting value indicating the control content according to an operation received from the user by the remote controller or a predetermined air conditioning control program. Then, the system controller 330 controls the indoor unit 310 and the outdoor unit 320 according to the determined setting value. In addition, the system controller 330 acquires a measurement value from a sensor attached to the indoor unit 310 and a sensor attached to the outdoor unit 320. The system controller 330 includes a storage device that stores air conditioning data including set values and measured values. This storage device is, for example, a flash memory.

  The data collection device 340 acquires air conditioning data from the air conditioning system 300 and supplies the acquired air conditioning data to the abnormality detection device 100. For example, the data collection device 340 acquires air conditioning data from the system controller 330 at a predetermined cycle and accumulates the collected air conditioning data. This period is, for example, 10 seconds. Further, the data collection device 340 transmits the latest air conditioning data among the accumulated air conditioning data to the abnormality detection device 100 via the wide area network 600 in accordance with a request from the abnormality detection device 100. The data collection device 340 includes, for example, a processor that controls the overall operation of the data collection device 340, a flash memory that accumulates air conditioning data, and a communication interface that connects the data collection device 340 to the wide area network 600. .

  Next, the function of the abnormality detection apparatus 100 will be described with reference to FIG. As shown in FIG. 2, the abnormality detection apparatus 100 functionally includes a data acquisition unit 101, a data storage unit 102, a thermal load calculation unit 103, a data classification unit 104, a standard value calculation unit 105, A standard value storage unit 106, an abnormality determination unit 107, a display unit 108, and a transfer unit 109 are provided. The data acquisition unit corresponds to the data acquisition unit 101, for example. The thermal load calculation unit corresponds to the thermal load calculation unit 103, for example. Data classification means corresponds to the data classification unit 104, for example. The standard value calculation unit corresponds to the standard value calculation unit 105, for example. The abnormality determination unit corresponds to the abnormality determination unit 107, for example. The display means included in the abnormality detection device corresponds to the display unit 108, for example.

  The data acquisition unit 101 acquires air conditioning data including a set value related to air conditioning control and a measured value related to air conditioning control from at least one air conditioning system 300. For example, the data acquisition unit 101 acquires air conditioning data every minute from all the air conditioning systems 300 via the data collection device 340. The function of the data acquisition unit 101 is realized by the cooperation of the processor 11 and the second communication interface 15, for example.

  The data storage unit 102 stores the air conditioning data acquired by the data acquisition unit 101. Here, the air conditioning data will be described with reference to FIG. The air conditioning data includes a set value indicating a set temperature (° C.), a wind direction, and a wind speed, and a measured value indicating a suction temperature (° C.) and an outlet temperature (° C.). The air conditioning data is stored in association with a system identifier, a value indicating acquisition time, and a value indicating thermal load (kcal / h).

  The system identifier is an identifier for identifying the air conditioning system 300 from which the air conditioning data is acquired. The acquisition time is the time when the data acquisition unit 101 acquires the air conditioning data from the air conditioning system 300. In the present embodiment, the acquisition time, the time when the air conditioning control is performed using the set value included in the air conditioning data (hereinafter referred to as “usage time” as appropriate), and the time when the measurement value included in the air conditioning data is measured. (Hereinafter referred to as “measurement time” as appropriate). The thermal load is the thermal load of the air conditioning target space of the air conditioning system 300 from which the air conditioning data is acquired when acquiring the air conditioning data.

  The heat load is, for example, the total amount of heat generated in the air-conditioning target space due to a heating element or solar radiation during cooling. The heat load is, for example, the total amount of heat released from the air-conditioning target space to an object such as a floor or a wall during heating. In the present embodiment, it is assumed that the heat load of the air-conditioning target space of the air conditioning system 300 is not constant but changes with time. For example, the data storage unit 102 manages air conditioning data for each air conditioning system 300. The function of the data storage unit 102 is realized by the cooperation of the processor 11 and the flash memory 12, for example.

  The thermal load calculation unit 103 calculates the thermal load of the air conditioning target space of the air conditioning system 300 from which the air conditioning data is acquired based on the air conditioning data. For example, when the air conditioning data includes the set temperature as the set value and the suction temperature as the measurement value, the thermal load calculation unit 103 is based on the speed of change of the suction temperature when the set temperature is changed. Calculate the heat load. Here, it is considered that the larger the heat load, the slower the change in the suction temperature, and the smaller the heat load, the faster the change in the suction temperature. Therefore, the heat load calculation unit 103 calculates the heat load so that the heat load becomes smaller as the change in the suction temperature becomes faster. For example, the heat load calculation unit 103 obtains a value obtained by dividing the difference between the set temperature and the suction temperature when the set temperature is changed by the time required for the suction temperature to reach the set temperature. The thermal load calculation unit 103 calculates the thermal load by multiplying the inverse of this value by a predetermined proportionality constant. The function of the thermal load calculation unit 103 is realized by the function of the processor 11, for example.

  The data classification unit 104 classifies the air conditioning data into two or more groups based on the setting value included in the air conditioning data and the thermal load calculated for the air conditioning data. That is, the data classification unit 104 classifies the air conditioning data so that the air conditioning data having the same set value and thermal load belong to the same group. For example, the data classification unit 104 first classifies the accumulated air conditioning data into three thermal load groups according to the thermal load.

  In the classification based on the thermal load, for example, the air conditioning data is classified by a hierarchical merge method. In the hierarchical merging method, the process of combining the two air conditioning data with the closest thermal load among all the air conditioning data as one thermal load group is repeated until the number of thermal load groups reaches three. Then, the three heat load groups are set in order from the largest heat load group to the heat load group with the large heat load, the heat load group in the heat load, and the heat load group with the small heat load. The number of heat load groups is not limited to three, and may be two or four or more. For example, the number of heat load groups may be set to be larger as the number of air conditioning data is larger. Moreover, a general classification method can be adopted in the classification based on the heat load. For example, the k-average method may be adopted. Or you may group by cut | disconnecting by the minimum value which exists between maximum values from the appearance distribution of a thermal load.

  Then, the data classification unit 104 further classifies the air conditioning data for each of the three heat load groups according to the set value. In the classification based on the setting value, for example, the air conditioning data is classified so that the air conditioning data having the same setting value belongs to the same group. Alternatively, for example, the air conditioning data may be classified so that the air conditioning data whose set value difference is equal to or less than the threshold value belongs to the same group. The function of the data classification unit 104 is realized by the function of the processor 11, for example.

  The standard value calculation unit 105 calculates a standard value corresponding to the group for which the standard value is to be calculated based on the measurement value included in the air conditioning data belonging to the group for which the standard value is to be calculated. Here, it is assumed that the group to which the first air conditioning data, which is the air conditioning data to be discriminated, belongs is the group for which the standard value is to be calculated. Hereinafter, the group for which the standard value is calculated is appropriately referred to as a first group. The standard value is a value used for determination of the measured value, and is a standard value of the measured value. For example, when obtaining the standard value corresponding to the first group, the standard value calculation unit 105 uses the median value of the measurement values included in the air conditioning data belonging to the first group as the standard value corresponding to the first group. calculate. Alternatively, the standard value calculation unit 105 may calculate an average value or a mode value of measurement values included in the air conditioning data belonging to the first group as a standard value corresponding to the first group.

  FIG. 4 shows standard value calculation data, which is data used to calculate the standard value. The standard value calculation data is basically air conditioning data included in a standard value calculation target group. Therefore, the standard value calculation data is a collection of air conditioning data in which both the set value and the heat load are comparable. FIG. 4 shows standard value calculation data used for calculating standard values corresponding to a group of air conditioning data in which the heat load is large, the set temperature is 26 ° C., the wind direction is horizontal, and the wind speed is maximum. Is shown. In the example shown in FIG. 4, two values of the suction temperature and the blowout temperature are measured values. In this case, the standard value calculation unit 105 calculates the standard value of the suction temperature and the standard value of the blowing temperature. The function of the standard value calculation unit 105 is realized by the function of the processor 11, for example.

  The standard value storage unit 106 stores the standard value calculated for each group by the standard value calculation unit 105. The function of the standard value storage unit 106 is realized by the cooperation of the processor 11 and the flash memory 12, for example.

  When the data acquisition unit 101 acquires the first air conditioning data from the first air conditioning system, the abnormality determination unit 107, the measured value included in the first air conditioning data, the standard value corresponding to the first group, Based on the above, it is determined whether or not there is an abnormality in the first air conditioning system. The first air-conditioning system is an air-conditioning system 300 that is an abnormality determination target among at least one air-conditioning system 300. That is, the first air conditioning system is the air conditioning system 300 from which the first air conditioning data that is the air conditioning data to be determined is acquired.

  The abnormality determination unit 107 is, for example, a time during which the difference between the measurement value included in the first air conditioning data and the standard value corresponding to the first group is equal to or greater than a predetermined threshold is equal to or greater than a predetermined time. In this case, it is determined that there is an abnormality in the first air conditioning system. That is, the abnormality determination unit 107 determines that there is an abnormality in the air conditioning system 300 from which the air conditioning data including the measurement value is acquired when the state where the measurement value and the standard value are separated continues for a certain period of time.

  For example, when the measured value is the blowing temperature, the abnormality determination unit 107 has an abnormality in the first air conditioning system when the state where the difference between the blowing temperature and the standard value is 5 ° C. or more is maintained for 5 minutes or more. Is determined. When air conditioning data is acquired every minute from the first air conditioning system, when air conditioning data including a blowing temperature whose difference from the standard value is 5 ° C. or more is acquired five times in succession, the first It is determined that there is an abnormality in the air conditioning system. The time used for discrimination is not limited to 5 minutes, and may be 30 seconds or 10 minutes. The time used for discrimination is adjusted according to, for example, a sampling period at which air conditioning data is acquired. The function of the abnormality determination unit 107 is realized by the function of the processor 11, for example.

  When the abnormality determination unit 107 determines that there is an abnormality in the first air conditioning system, the display unit 108 displays predetermined information. The information to be displayed may be any information as long as it is information notifying that there is an abnormality. For example, when the display unit 108 includes one LED 13, the display unit 108 can inform the user that there is an abnormality in any of the air conditioning systems 300 by turning on the LED 13. Alternatively, the display unit 108 can notify which air conditioning system 300 has an abnormality by causing the LEDs 13 to blink in a predetermined blinking pattern. Alternatively, for example, when the display unit 108 includes two or more LEDs 13, the display unit 108 turns on or blinks the plurality of LEDs 13 in a predetermined lighting pattern or blinking pattern, so that any air conditioning system 300 has an abnormality. Can tell if there is. The function of the display unit 108 is realized by the cooperation of the processor 11 and the LED 13, for example.

  When the abnormality determination unit 107 determines that there is an abnormality in the first air conditioning system, the transfer unit 109 informs that there is an abnormality in the first air conditioning system (hereinafter referred to as “abnormality notification information” as appropriate). Is transmitted to the display device 200. This abnormality notification information includes, for example, system identification information of the first air conditioning system. The function of the transfer unit 109 is realized by the cooperation of the processor 11 and the first communication interface 14, for example.

  Next, functions of the display device 200 will be described. The display device 200 functionally includes a communication unit 201 and a display unit 202. A display unit included in the display device corresponds to the display unit 202, for example.

  The communication unit 201 communicates with the abnormality detection device 100. For example, the communication unit 201 receives the abnormality notification information transmitted by the transfer unit 109. The function of the communication unit 201 is realized by the function of the communication interface 23, for example.

  The display unit 202 displays various information. For example, the display unit 202 displays an abnormality notification screen based on the abnormality notification information received by the communication unit 201. FIG. 5 shows a screen 400 that is an abnormality notification screen. The screen 400 includes, for example, an icon 411 indicating an air conditioning system A having a system identifier of 1, an icon 412 indicating an air conditioning system B having a system identifier of 2, an icon 420 indicating that the air conditioning system A has an abnormality, And a region 430 in which a character string explaining the abnormality content is displayed.

  As described above, the display unit 202 can notify the details of the abnormality in more detail than the display unit 108. In FIG. 2, the air conditioning system 300A indicates the air conditioning system A, and the air conditioning system 300B indicates the air conditioning system B. The air conditioning system 300A and the air conditioning system 300B are collectively referred to as the air conditioning system 300 as appropriate. The function of the display unit 202 is realized by the cooperation of the processor 21 and the touch screen 22, for example.

  Next, the abnormality detection process executed by the abnormality detection device 100 will be described with reference to the flowchart shown in FIG. The abnormality detection process is started when, for example, the abnormality detection apparatus 100 is turned on.

  First, the processor 11 collects air conditioning data from the air conditioning system 300 (step S101). For example, the processor 11 transmits data request information to the data collection devices 340 corresponding to all the air conditioning systems 300 and collects air conditioning data from all the air conditioning systems 300 via the data collection device 340. For example, the processor 11 collects air conditioning data from all the air conditioning systems 300 every minute. When the data collection device 340 receives the data request information from the abnormality detection device 100, the data collection device 340 transmits the latest air conditioning data among the air conditioning data collected and accumulated from the air conditioning system 300 to the abnormality detection device 100.

  When completing the process of step S101, the processor 11 executes a heat load calculation process (step S102). The thermal load calculation process will be described in detail with reference to the flowchart shown in FIG.

  First, the processor 11 selects one collected air conditioning data (step S201). When the processing of step S201 is completed, the processor 11 determines whether or not the change in the set temperature is reflected in the air conditioning system 300 from which the selected air conditioning data is acquired (step S202).

  For example, the processor 11 refers to the history of air conditioning data recently acquired from the air conditioning system 300 from which the selected air conditioning data is acquired, and determines whether or not the set temperature has recently been changed in the air conditioning system 300. If the processor 11 recently determines that the set temperature has been changed, the processor 11 refers to the last acquired air conditioning data, that is, the selected air conditioning data, and determines whether or not the change in the set temperature has been reflected. . For example, the processor 11 determines whether or not the difference between the set temperature included in the selected air conditioning data and the suction temperature included in the selected air conditioning data is equal to or less than a threshold value. When the processor 11 determines that the difference is equal to or smaller than the threshold value, the processor 11 considers that the change in the set temperature is reflected.

  When the processor 11 determines that the change in the set temperature has been reflected (step S202: YES), the processor 11 calculates the heat load from the speed of change in the suction temperature (step S203). For example, the processor 11 calculates the speed of change of the suction temperature by dividing the difference between the set temperature and the suction temperature when the set temperature is changed by the time from the change of the set temperature to the current time. . That is, the processor 11 calculates the speed of change of the suction temperature by dividing the amount of change of the suction temperature by the time required for the change of the suction temperature. Then, the processor 11 calculates the thermal load by multiplying the reciprocal of the change rate of the suction temperature by a predetermined coefficient.

  When the processor 11 determines that the change in the set temperature is not reflected (step S202: NO), the processor 11 specifies the latest thermal load (step S204). That is, when the set temperature has not been changed, or when the reflection of the change in the set temperature has not been completed, the processor 11 calculates the heat load calculated last for the air conditioning system 300 from which the selected air conditioning data is acquired. Adopted as the current heat load.

  When the process of step S203 or the process of step S204 is completed, the processor 11 stores the calculated or specified thermal load in association with the selected air conditioning data (step S205). When completing the process of step S205, the processor 11 determines whether there is unselected air conditioning data (step S206). When determining that there is unselected air conditioning data (step S206: YES), the processor 11 returns the process to step S201. On the other hand, when determining that there is no unselected air conditioning data (step S206: NO), the processor 11 completes the thermal load calculation process of step S102.

  When completing the process of step S102, the processor 11 executes a standard value calculation process (step S103). The standard value calculation process will be described in detail with reference to the flowchart shown in FIG. The standard value is calculated for each group of air conditioning data. On the other hand, the air conditioning data group is changed when the air conditioning data is added. Therefore, the standard value is preferably calculated every time the air conditioning data is acquired. That is, the standard value calculation process is executed every time air conditioning data is acquired.

  First, the processor 11 classifies all the air conditioning data into three heat load groups based on the heat load (step S301). For example, the processor 11 classifies the air conditioning data according to the heat load by the hierarchical merge method described above. When completing the process of step S301, the processor 11 further classifies all the air conditioning data according to the set value (step S302). That is, the processor 11 further classifies the air conditioning data classified by the heat load by the set value. For example, the processor 11 classifies the air conditioning data that belongs to the same heat load group and includes different set values into different groups.

  When completing the process of step S302, the processor 11 calculates the standard value of the measurement value for each group classified by the thermal load and the set value (step S303). For example, the processor 11 performs processing for selecting one group and processing for calculating a median value of measurement values included in the air conditioning data belonging to the selected group as a standard value corresponding to the selected group. Repeat until selected. When completing the process of step S303, the processor 11 stores the calculated standard value in association with the group (step S304). When completing the process of step S304, the processor 11 completes the standard value calculation process of step S103.

  When completing the process of step S103, the processor 11 executes an abnormality determination process (step S104). The abnormality determination process will be described in detail with reference to the flowchart shown in FIG.

  First, the processor 11 selects one collected air conditioning data (step S401). When completing the process of step S401, the processor 11 specifies the group to which the selected air conditioning data belongs (step S402). When completing the process of step S402, the processor 11 determines whether or not the number of elements of the identified group is greater than or equal to the threshold (step S403). That is, when the number of air conditioning data included in the identified group is large to some extent, the processor 11 considers that the reliability of the standard value calculated for the identified group is high and executes the abnormality determination process. On the other hand, when the number of air conditioning data included in the specified group is too small, the processor 11 considers that the reliability of the standard value calculated for the specified group is low and does not execute the abnormality determination process.

  If the processor 11 determines that the number of elements of the identified group is not equal to or greater than the threshold (step S403: NO), the processor 11 returns the process to step S401. On the other hand, when the processor 11 determines that the number of elements of the specified group is equal to or greater than the threshold (step S403: YES), the processor 11 calculates the difference between the measured value included in the selected air conditioning data and the standard value calculated for the specified group. Calculate (step S404). When completing the process of step S404, the processor 11 determines whether or not the difference is greater than or equal to a threshold value (step S405).

  If the processor 11 determines that the difference is greater than or equal to the threshold (step S405: YES), the processor 11 increments the counter value (step S406). This counter value is a counter value provided for each air conditioning system 300. This counter is a counter for counting the time during which the measured value is separated from the standard value. On the other hand, if the processor 11 determines that the difference is not greater than or equal to the threshold (step S405: NO), the processor 11 clears the counter value (step S407).

  When the process of step S406 is completed, the processor 11 determines whether or not the counter value is equal to or greater than a threshold value (step S407). For example, when the air conditioning data is acquired every minute and it is desired to determine whether or not the time when the measured value is separated from the standard value is 5 minutes or more, this threshold value is set to 5. When the processor 11 completes step S407 or determines that the counter value is not equal to or greater than the threshold (step S408: NO), the processor 11 determines that the air conditioning system 300 from which the selected air conditioning data is acquired is normal (step S409). On the other hand, when the processor 11 determines that the counter value is equal to or greater than the threshold value (step S408: YES), the processor 11 determines that the air conditioning system 300 from which the selected air conditioning data is acquired is abnormal (step S410).

  When completing the process of step S409 or the process of step S410, the processor 11 stores the determination result (step S411). For example, the processor 11 associates the system identifier indicating the air conditioning system 300 from which the selected air conditioning data is acquired with information indicating the determination result, and stores them in the flash memory 12.

  When completing the process of step S411, the processor 11 determines whether there is unselected air conditioning data (step S412). When determining that there is unselected air conditioning data (step S412: YES), the processor 11 returns the process to step S401. On the other hand, when determining that there is no unselected air conditioning data (step S412: NO), the processor 11 completes the abnormality determination process in step S104.

  When completing the process of step S104, the processor 11 displays the determination result (step S105). For example, the processor 11 turns on the LED 13 when any one of the air conditioning systems 300 is abnormal, and does not turn on the LEDs 13 when all the air conditioning systems 300 are normal. For example, when the LED 13 is provided for each air conditioning system 300, the processor 11 turns on only the LED 13 corresponding to the air conditioning system 300 having an abnormality.

  When completing the process of step S105, the processor 11 determines whether or not there is an abnormality (step S106). When determining that there is no abnormality (step S106: NO), the processor 11 returns the process to step S101. On the other hand, when determining that there is an abnormality (step S106: YES), the processor 11 displays an abnormality notification screen (step S107). For example, when any one of the air conditioning systems 300 has an abnormality, the processor 11 transmits abnormality notification information to the display device 200 via the first communication interface 14. On the other hand, when receiving the abnormality notification information from the abnormality detection device 100, the display device 200 displays an abnormality notification screen indicating the content of the abnormality.

  Thus, the processor 11 notifies the user that no abnormality is detected by not turning on the LED 13 when no abnormality is detected. On the other hand, when detecting an abnormality, the processor 11 turns on the LED 13 to notify the user that the abnormality has been detected, and further causes the display device 200 to display an abnormality notification screen informing the details of the abnormality. . When completing the process in step S107, the processor 11 returns the process to step S101.

  As described above, in the present embodiment, an abnormality is detected in the air conditioning system 300 based on the measurement value included in the acquired air conditioning data, and the standard value specified in consideration of the set value and the heat load. It is determined whether or not there is. More specifically, in this embodiment, the air conditioning data acquired from at least one air conditioning system 300 is classified by the set value and the thermal load, and is included in the first air conditioning data acquired from the first air conditioning system. Based on the set value and the standard value corresponding to the first group to which the first air conditioning data belongs, it is determined whether or not there is an abnormality in the first air conditioning system. Therefore, according to the present embodiment, an abnormality of the air conditioning system 300 can be detected with high accuracy.

  In the present embodiment, if the set value and the thermal load are approximately the same, the air conditioning data acquired from the air conditioning system 300 other than the abnormality detection target is also used for calculating the standard value. Therefore, according to the present embodiment, a highly accurate standard value can be quickly prepared.

  Moreover, in this embodiment, the standard value of a measured value is calculated based on the measured value contained in the acquired air conditioning data. Therefore, according to the present embodiment, it is possible to obtain a standard value used for determining an abnormality with a simple configuration.

  In the present embodiment, the heat load is calculated based on the change speed of the suction temperature when the set temperature is changed. Therefore, according to this embodiment, it is possible to calculate the heat load used for classification of the air conditioning data without adding a special configuration. A special configuration is, for example, an expensive thermo sensor or image sensor.

  In the present embodiment, when the time between the measured value and the standard value included in the air conditioning data is equal to or greater than a predetermined threshold is equal to or greater than the predetermined time, it is determined that the air conditioning system 300 is abnormal. Is done. Therefore, according to the present embodiment, the probability of erroneous determination can be reduced.

(Embodiment 2)
In the first embodiment, the example in which the heat load is calculated based on the change speed of the suction temperature when the set temperature is changed has been described. In the present invention, the method for calculating the thermal load can be adjusted as appropriate. In the present embodiment, an example will be described in which the heat load is calculated based on the number of fluctuations of the suction temperature. Hereinafter, the heat load calculation process according to the present embodiment will be described. The configuration of the abnormality detection system 1000 is basically the same as the configuration shown in the first embodiment.

  The abnormality detection apparatus 100 according to the present embodiment executes a thermal load calculation process shown in FIG. 10 instead of the thermal load calculation process shown in FIG.

  First, the processor 11 selects one collected air conditioning data (step S501). When completing the process of step S501, the processor 11 determines whether or not the set temperature has changed within the most recent fixed period (step S502).

  For example, the processor 11 refers to the history of air conditioning data recently acquired from the air conditioning system 300 from which the selected air conditioning data is acquired, and determines whether or not the set temperature has recently been changed in the air conditioning system 300. For example, in the air conditioning system 300, the processor 11 determines whether there is no change in the set temperature from 1 hour before to the present. The length of this period may be 30 minutes instead of 1 hour. The length of this period is determined in consideration of, for example, responsiveness to changes in air conditioning settings.

  If the processor 11 determines that the set temperature has not been changed within the most recent fixed period (step S502: NO), the processor 11 counts the number of temperature fluctuations (step S503). For example, the processor 11 counts the number of times that the suction temperature is separated from the set temperature by a threshold value or more during the certain period. The length of the certain period is, for example, 1 hour. Moreover, this threshold value is 0.5 degreeC, for example. When completing the process of step S503, the processor 11 calculates the thermal load from the number of temperature fluctuations (step S504).

  Here, it is considered that as the heat load increases, the amount of heat generated in the air-conditioning target space per unit time or the amount of heat released from the air-conditioning target space per unit time increases, and the number of temperature fluctuations increases. Therefore, the processor 11 calculates the heat load so that the heat load increases as the number of temperature fluctuations increases. For example, the processor 11 calculates a value obtained by multiplying the number of temperature fluctuations by a predetermined coefficient as the heat load.

  When the processor 11 determines that the set temperature has changed within the latest fixed period (step S502: YES), the processor 11 specifies the latest heat load (step S505). That is, when there is a change in the set temperature, the processor 11 adopts the heat load calculated last for the air conditioning system 300 from which the selected air conditioning data is acquired as the current heat load.

  When completing the process of step S504 or the process of step S505, the processor 11 stores the calculated or specified thermal load in association with the selected air conditioning data (step S506). When completing the process of step S506, the processor 11 determines whether there is unselected air conditioning data (step S507). When determining that there is unselected air conditioning data (step S507: YES), the processor 11 returns the process to step S501. On the other hand, when determining that there is no unselected air conditioning data (step S507: NO), the processor 11 completes the heat load calculation process of step S102.

  In the present embodiment, the heat load is calculated according to the number of fluctuations of the suction temperature during a predetermined length of time in which the set temperature is not changed. Therefore, according to the present embodiment, it is possible to easily calculate the heat load of the air conditioning system 300 in which the set temperature is not frequently changed.

(Embodiment 3)
In the first embodiment, the example in which the standard value is calculated without considering the influence even when the air conditioning of a certain air conditioning system 300 affects the air conditioning of another air conditioning system 300 has been described. In the present embodiment, an example in which the standard value is calculated in consideration of this influence will be described. In the present embodiment, an example will be described in which the air conditioning data acquired from the air conditioning system 300 affected by the air conditioning of the adjacent air conditioning system 300 is not used for calculating the standard value. In the present embodiment, it is assumed that the number of air conditioning systems 300 is two or more.

  As shown in FIG. 11, the abnormality detection device 120 according to the present embodiment functionally includes a data acquisition unit 101, a data storage unit 102, a thermal load calculation unit 103, a data classification unit 104, and a standard value. In addition to the calculation unit 105, the standard value storage unit 106, the abnormality determination unit 107, the display unit 108, and the transfer unit 109, an arrangement information storage unit 110 is further provided.

  The arrangement information storage unit 110 stores arrangement information that is information indicating a position where two or more air conditioning systems 300 are arranged. The arrangement information is information indicating whether at least two air conditioning systems 300 selected from two or more air conditioning systems 300 are adjacent to each other. For example, when the distance between the indoor unit 310 included in the air conditioning system A and the indoor unit 310 included in the air conditioning system B is within 10 m, it is considered that the air conditioning system A and the air conditioning system B are adjacent to each other. The function of the arrangement information storage unit 110 is realized by the function of the flash memory 12, for example.

  Here, in the case where the second air conditioning system and the third air conditioning system are adjacent to each other and the set temperature in the second air conditioning system and the set temperature in the third air conditioning system are not changed, When the second temperature difference is larger than the first temperature difference, the standard value is calculated by excluding the air conditioning data acquired from the second air conditioning system. The second air conditioning system is any one of the two or more air conditioning systems 300. The third air conditioning system is an air conditioning system 300 other than the second air conditioning system among the two or more air conditioning systems 300. The first temperature difference is a temperature difference between the set temperature in the second air conditioning system and the suction temperature in the second air conditioning system. The second temperature difference is a temperature difference between the set temperature in the third air conditioning system and the suction temperature in the second air conditioning system.

  When the second temperature difference is larger than the first temperature difference, the influence of the set temperature in the third air conditioning system on the suction temperature of the second air conditioning system is considered to be so large that it cannot be ignored. Therefore, in such a case, it is preferable that the standard value is calculated by excluding the air conditioning data acquired from the second air conditioning system.

  In the present embodiment, the abnormality detection apparatus 120 executes a standard value calculation process shown in FIG. 12 instead of the standard value calculation process shown in FIG.

  First, the processor 11 specifies a combination of a reference air conditioning system and an adjacent air conditioning system from among the two or more air conditioning systems 300 (step S601). The reference air conditioning system is the second air conditioning system. The adjacent air conditioning system is the third air conditioning system. In the present embodiment, the reference air conditioning system is the air conditioning system A, and the adjacent air conditioning system is the air conditioning system B.

  When completing the process of step S601, the processor 11 selects one combination (step S602). When completing the process in step S602, the processor 11 determines whether or not there is a change in the set temperature within the most recent fixed period (step S603). For example, the processor 11 determines whether or not the set temperature has been changed in either the reference air conditioning system or the adjacent air conditioning system in the most recent hour.

  If the processor 11 determines that the set temperature has not been changed within the most recent fixed period (step S603: NO), the processor 11 determines the first temperature based on the air conditioning data last acquired from the reference air conditioning system and the adjacent air conditioning system. The difference and the second temperature difference are calculated (step S604). When completing the process of step S604, the processor 11 determines whether or not the first temperature difference is larger than the second temperature difference (step S605).

  If the processor 11 determines that the first temperature difference is larger than the second temperature difference (step S605: YES), the processor 11 deletes the air conditioning data acquired last from the reference air conditioning system (step S606). For example, when the set temperature is not changed, when the set temperature of the reference air conditioning system is 28 ° C., the suction temperature of the reference air conditioning system is 26 ° C., and the set temperature of the adjacent air conditioning system is 25 ° C., the first temperature difference is 2 ° C. The second temperature difference is 1 ° C. In this case, since it is considered that the set temperature of the adjacent air conditioning system greatly affects the suction temperature of the reference air conditioning system, the air conditioning data acquired last from the reference air conditioning system is deleted. The processor 11 may add a flag to the air conditioning data instead of deleting the air conditioning data from the flash memory 12. This flag is a flag indicating that the flag is not used for the standard value calculation process.

  When the processor 11 determines that the first temperature difference is equal to or smaller than the second temperature difference (step S605: NO), or when the process of step S606 is completed, it is determined whether or not there is an unselected combination. A determination is made (step S607). When determining that there is an unselected combination (step S607: YES), the processor 11 returns the process to step S602. On the other hand, when determining that there is no unselected combination (step S607: NO), the processor 11 classifies all the thermal loads into three thermal load groups (step S608).

  When completing the process of step S608, the processor 11 further classifies all the air conditioning data according to the set values (step S609). When completing the process of step S609, the processor 11 calculates a standard value of the measurement value for each classified group (step S610). When completing the process of step S610, the processor 11 stores the calculated standard value in association with the group (step S611). When completing the process in step S611, the processor 11 completes the standard value calculation process.

  In the present embodiment, the air conditioning data acquired from the air conditioning system 300 that is strongly influenced by the air conditioning by the adjacent air conditioning system 300 is excluded, and the standard value of the measurement value is calculated. Therefore, according to the present embodiment, the accuracy of the standard value can be further increased.

(Embodiment 4)
Embodiment 1 demonstrated the example which alert | reports abnormality, when abnormality of a 1st air conditioning system is detected. In the present embodiment, when the control content of the first air conditioning system is similar to the control content of the fourth air conditioning system adjacent to the first air conditioning system and an abnormality of the first air conditioning system is detected, the first An example in which the air conditioning control by the air conditioning system is stopped and the air conditioning control for the fourth air conditioning system is changed so as to increase the load will be described. In addition, that control content is similar means that the operation mode is the same, for example. Hereinafter, it is assumed that the first air conditioning system is the air conditioning system A and the fourth air conditioning system is the air conditioning system B. In the present embodiment, it is assumed that the number of air conditioning systems 300 is two or more.

  As illustrated in FIG. 13, the abnormality detection system 1100 according to the present embodiment includes an abnormality detection device 130 and does not include the display device 200. In the present embodiment, the data collection device 340 is not provided, and the system controller 330 is directly connected to the wide area network 600.

  As shown in FIG. 14, the abnormality detection device 130 according to the present embodiment functionally includes a data acquisition unit 101, a data storage unit 102, a thermal load calculation unit 103, a data classification unit 104, and a standard value. In addition to the calculation unit 105, the standard value storage unit 106, the abnormality determination unit 107, the display unit 108, the transfer unit 109, and the arrangement information storage unit 110, the control content determination unit 111, the communication unit 112, Is further provided. The control content determination unit corresponds to the control content determination unit 111, for example. The communication unit corresponds to the communication unit 112, for example.

  When the abnormality determination unit 107 determines that there is an abnormality in the first air conditioning system, the control content determination unit 111 determines the control content for the fourth air conditioning system. The control indicated by the control content for the fourth air conditioning system is, for example, control in which the fourth air conditioning system assists the air conditioning performed by the first air conditioning system. For example, when both the first air conditioning system and the fourth air conditioning system are cooling, it is preferable to enhance the cooling by the fourth air conditioning system. The function of the control content determination part 111 is implement | achieved by the function of the processor 11, for example.

  When the abnormality determining unit 107 determines that there is an abnormality in the first air conditioning system, the communication unit 112 transmits information instructing control stop to the first air conditioning system, and the control content determined by the control content determining unit 111 Is transmitted to the fourth air conditioning system. The function of the communication unit 112 is realized by the cooperation of the processor 11 and the second communication interface 15, for example.

  Next, the control content determination process executed by the abnormality detection device 130 will be described with reference to FIG. The control content determination process is executed instead of the process of step S107 in FIG. 6, that is, the process of displaying the abnormality notification screen, for example.

  First, the processor 11 stops the air conditioning system 300 determined to be abnormal (step S701). That is, the processor 11 transmits information for instructing control stop to the first air conditioning system via the second communication interface 15. On the other hand, the system controller 330 included in the first air conditioning system stops the air conditioning of the first air conditioning system.

  When completing the process of step S701, the processor 11 determines whether there is an air conditioning system 300 adjacent to the air conditioning system 300 determined to be abnormal (step S702). When determining that there is no air conditioning system 300 adjacent to the air conditioning system 300 determined to be abnormal (step S702: NO), the processor 11 completes the control content determination process. On the other hand, when determining that there is an air conditioning system 300 adjacent to the air conditioning system 300 determined to be abnormal (step S702: YES), the processor 11 changes the set temperature so that the load on the adjacent air conditioning system 300 increases (step S702). Step S703). For example, when the air conditioning system 300 determined to be abnormal and the adjacent air conditioning system 300 are performing the cooling operation at the set temperature of 27 ° C., the set temperature of the adjacent air conditioning system 300 is changed to 26 ° C.

  When completing the process of step S703, the processor 11 transmits information including the set temperature to the adjacent air conditioning system 300 (step S704). For example, the processor 11 transmits information indicating the changed set temperature to the fourth air conditioning system via the second communication interface 15. On the other hand, when the system controller 330 provided in the fourth air conditioning system receives this information, it controls the air conditioning at the changed set temperature. When completing the process in step S704, the processor 11 completes the control content determination process.

  As described above, in the present embodiment, the control content of the first air conditioning system is similar to the control content of the fourth air conditioning system adjacent to the fourth air conditioning system, and an abnormality is detected in the first air conditioning system. If it is, the control of the first air conditioning system is stopped, and the control content for the fourth air conditioning system is changed so that the load on the fourth air conditioning system increases. Therefore, according to the present embodiment, it is possible to reduce the risk of operating the abnormal air conditioning system 300 while ensuring user comfort.

(Modification)
As mentioned above, although embodiment of this invention was described, when implementing this invention, a deformation | transformation and application with a various form are possible. In the present invention, which part of the configuration, function, and operation described in the above embodiment is adopted is arbitrary. Further, in the present invention, in addition to the configuration, function, and operation described above, further configuration, function, and operation may be employed.

  Embodiment 1 demonstrated the example which uses the acquired air conditioning data for calculation of a standard value immediately. In the present invention, the acquired air conditioning data may not be used immediately for calculating the standard value. This is because the acquired air conditioning data may not be normal air conditioning data. In this case, the acquired air conditioning data is classified according to the thermal load and the set value at the time of abnormality determination. For example, when the thermal load calculated for the acquired air conditioning data is 15, the average thermal load of the thermal load group A is 10, and the average thermal load of the thermal load group B is 30, the acquired air conditioning data Are classified into heat load group A. And the acquired air-conditioning data is further classified into groups with the same set value. In this way, the acquired air conditioning data is classified into a group in which the set values match and the average value of the heat load is the closest. And the measured value contained in the acquired air-conditioning data is compared with the standard value matched with this group.

  In the first embodiment, an example in which the number of air conditioning systems 300 is two or more has been described. In the present invention, the number of air conditioning systems 300 may be one. In the present invention, the air conditioning system 300 may include two or more indoor units 310. In the present invention, the abnormality detection system 1000 may include the abnormality detection device 100 that does not include the display device 200 but has the function of the display device 200. In this case, for example, the abnormality detection device 100 includes a touch screen 22 instead of the LED 13 and displays an abnormality notification screen. In the present invention, the abnormality detection device 100 or the display device 200 may be incorporated in the air conditioning system 300. For example, the abnormality detection device 100 or the display device 200 may be incorporated in the system controller 330. In the present invention, the abnormality detection device 100 or the display device 200 may be incorporated in the data collection device 340.

  By applying an operation program that defines the operation of the abnormality detection device 100 according to the present invention to an existing personal computer or information terminal device, the personal computer or the like can also function as the abnormality detection device 100 according to the present invention. is there. Further, such a program distribution method is arbitrary. For example, the program is stored and distributed in a computer-readable recording medium such as a CD-ROM (Compact Disk Read-Only Memory), a DVD (Digital Versatile Disk), or a memory card. Alternatively, it may be distributed via a communication network such as the Internet.

  Various embodiments and modifications can be made to the present invention without departing from the broad spirit and scope of the present invention. Further, the above-described embodiment is for explaining the present invention, and does not limit the scope of the present invention. That is, the scope of the present invention is shown not by the embodiments but by the claims. Various modifications within the scope of the claims and within the scope of the equivalent invention are considered to be within the scope of the present invention.

  The present invention is applicable to an abnormality detection system that detects an abnormality of an air conditioning system.

11, 21 Processor, 12 Flash memory, 13 LED, 14 First communication interface, 15 Second communication interface, 22 Touch screen, 23 Communication interface, 100, 120, 130 Abnormality detection device, 101 Data acquisition unit, 102 Data storage unit , 103 Thermal load calculation unit, 104 Data classification unit, 105 Standard value calculation unit, 106 Standard value storage unit, 107 Abnormality detection unit, 108, 202 Display unit, 109 Transfer unit, 110 Arrangement information storage unit, 111 Control content determination unit 112 communication unit 200 display device 201 communication unit 300 300A 300B air conditioning system 310 indoor unit 320 outdoor unit 330 system controller 340 data collection device 400 screen 411 412 420 icon 43 0 area, 600 wide area network, 1000, 1100 anomaly detection system

Claims (10)

Data acquisition means for acquiring air conditioning data including a set value related to air conditioning control and a measured value related to air conditioning control from at least one air conditioning system;
Based on the air conditioning data, thermal load calculating means for calculating the thermal load of the air conditioning target space of the air conditioning system from which the air conditioning data was acquired when acquiring the air conditioning data;
Data classification means for classifying the air conditioning data into two or more groups based on a set value included in the air conditioning data and a thermal load calculated for the air conditioning data;
When the data acquisition means acquires the first air conditioning data as the air conditioning data from the first air conditioning system of the at least one air conditioning system, the measured value included in the first air conditioning data, and the two or more Abnormality determining means for determining whether or not there is an abnormality in the first air conditioning system, based on a standard value corresponding to the first group to which the first air conditioning data belongs among ,
Display means for displaying predetermined information when the abnormality determination means determines that there is an abnormality in the first air conditioning system;
Anomaly detection device. A standard value calculating means for calculating the standard value based on a measured value included in the air conditioning data belonging to the first group;
The abnormality detection device according to claim 1. The set value includes a set temperature,
The measured value includes the suction temperature,
The standard value calculating means includes a second air conditioning system of the at least one air conditioning system and a third air conditioning system of the at least one air conditioning system adjacent to each other, and a set temperature in the second air conditioning system and the When the set temperature in the third air conditioning system is not changed, the set temperature in the third air conditioning system is greater than the temperature difference between the set temperature in the second air conditioning system and the suction temperature in the second air conditioning system. And when the temperature difference between the suction temperature in the second air conditioning system is larger, the air conditioning data acquired from the second air conditioning system is excluded, and the standard value is calculated.
The abnormality detection device according to claim 2. The set value includes a set temperature,
The measured value includes the suction temperature,
The thermal load calculating means calculates the thermal load based on the speed of change of the suction temperature when the set temperature is changed.
The abnormality detection apparatus of any one of Claim 1 to 3. The set value includes a set temperature,
The measured value includes the suction temperature,
The thermal load calculation means calculates the thermal load based on the number of times that a difference between the set temperature and the suction temperature exceeds a predetermined threshold within a predetermined time during which the set temperature is not changed. ,
The abnormality detection apparatus of any one of Claim 1 to 3. Control for determining control contents for a fourth air conditioning system adjacent to the first air conditioning system of the at least one air conditioning system when the abnormality determining means determines that there is an abnormality in the first air conditioning system. Content determination means;
Information indicating the control content determined by the control content determination means is transmitted to the first air conditioning system when the abnormality determination means determines that there is an abnormality in the first air conditioning system. Communication means for transmitting to the fourth air conditioning system,
The abnormality detection device according to any one of claims 1 to 5. The abnormality determination unit is configured to detect the first air conditioning when the time between the measured value included in the first air conditioning data and the standard value is equal to or greater than a predetermined time. Determine that there is something wrong with the system,
The abnormality detection device according to any one of claims 1 to 6. An anomaly detection system comprising an anomaly detection device and a display device,
The abnormality detection device is:
Data acquisition means for acquiring air conditioning data including a set value related to air conditioning control and a measured value related to air conditioning control from at least one air conditioning system;
Based on the air conditioning data, thermal load calculating means for calculating the thermal load of the air conditioning target space of the air conditioning system from which the air conditioning data was acquired when acquiring the air conditioning data;
Data classification means for classifying the air conditioning data into two or more groups based on a set value included in the air conditioning data and a thermal load calculated for the air conditioning data;
When the data acquisition means acquires the first air conditioning data as the air conditioning data from the first air conditioning system of the at least one air conditioning system, the measured value included in the first air conditioning data, and the two or more Abnormality determining means for determining whether or not there is an abnormality in the first air conditioning system, based on a standard value corresponding to the first group to which the first air conditioning data belongs among With
The display device
When the abnormality determination unit determines that the first air conditioning system has an abnormality, the abnormality determination unit includes a display unit that displays predetermined information.
Anomaly detection system. Acquire air conditioning data including set values related to air conditioning control and measured values related to air conditioning control from at least one air conditioning system;
Based on the air conditioning data, calculate the thermal load of the air conditioning target space of the air conditioning system from which the air conditioning data was acquired when the air conditioning data was acquired,
When the first air conditioning data, which is the air conditioning data, is acquired from the first air conditioning system of the at least one air conditioning system, the measured value included in the first air conditioning data, and the at least one air conditioning system Among the acquired air conditioning data, a standard value calculated from a measurement value included in the air conditioning data corresponding to the set value included in the first air conditioning data and the thermal load calculated for the first air conditioning data; To determine whether there is an abnormality in the first air conditioning system,
Anomaly detection method. Computer
Data acquisition means for acquiring air conditioning data including a set value related to air conditioning control and a measured value related to air conditioning control from at least one air conditioning system;
Based on the air conditioning data, thermal load calculating means for calculating the thermal load of the air conditioning target space of the air conditioning system from which the air conditioning data was acquired when acquiring the air conditioning data;
Data classification means for classifying the air conditioning data into two or more groups based on a set value included in the air conditioning data and a thermal load calculated for the air conditioning data;
When the data acquisition means acquires the first air conditioning data as the air conditioning data from the first air conditioning system of the at least one air conditioning system, the measured value included in the first air conditioning data, and the two or more An abnormality determining means for determining whether or not there is an abnormality in the first air conditioning system based on a standard value corresponding to the first group to which the first air conditioning data belongs among the groups of Function as
program.

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