WO2017033240A1

WO2017033240A1 - Data acquisition system, abnormality detection system, refrigeration cycle device, data acquisition method, and abnormality detection method

Info

Publication number: WO2017033240A1
Application number: PCT/JP2015/073612
Authority: WO
Inventors: 康敬落合; 正樹豊島
Original assignee: 三菱電機株式会社
Priority date: 2015-08-21
Filing date: 2015-08-21
Publication date: 2017-03-02
Also published as: JPWO2017033240A1; JP6641376B2

Abstract

Provided are: a data acquisition system whereby the quantity of data to be acquired from a refrigeration cycle device can be reduced; an abnormality detection system; a refrigeration cycle device that is provided with the systems; a data acquisition method whereby the quantity of data to be acquired from the refrigeration cycle device can be reduced; and an abnormality detection method. First data, i.e., some parameters measured by the refrigeration cycle device, is acquired from the refrigeration cycle device, and in the cases where the first data is within a target range, second data, i.e., some other parameters measured by the refrigeration cycle device, is acquired from the refrigeration cycle device.

Description

Data acquisition system, abnormality detection system, refrigeration cycle apparatus, data acquisition method, and abnormality detection method

The present invention relates to a data acquisition system and abnormality detection system used in a refrigeration cycle apparatus, a refrigeration cycle apparatus including a data acquisition system or an abnormality detection system, a data acquisition method from the refrigeration cycle apparatus, and an abnormality detection method of the refrigeration cycle apparatus. It is.

Patent Document 1 describes a refrigeration cycle apparatus such as an air conditioner. In this refrigeration cycle apparatus, the refrigerant amount of each component is obtained from the operating state quantity of each component constituting the refrigerant circuit, and the calculated refrigerant amount is calculated as the sum of them. Further, by comparing the calculated refrigerant amount with the appropriate refrigerant amount acquired in advance, it is determined whether the refrigerant amount is excessive or insufficient.

Japanese Patent No. 4975052

However, in the refrigeration cycle apparatus described in Patent Document 1, since the calculated refrigerant amount is calculated based on the operation state amount of each component of the refrigerant circuit, a large amount of data is remotely transmitted to detect an abnormality in the refrigerant amount. Must be stored in the surveillance system. Therefore, in patent document 1, in order to detect abnormality of the refrigerating-cycle apparatus containing abnormality of refrigerant | coolant amount, the subject that the remote monitoring system which can accumulate | store a large amount of data occurred. Moreover, in patent document 1, since a refrigerating-cycle apparatus and a remote monitoring system are connected via a communication network, there exists a restriction | limiting in communication capacity. Therefore, in patent document 1, in order to detect abnormality of a refrigerating-cycle apparatus, there existed a subject that a large amount of data could not be always transmitted from a refrigerating-cycle apparatus to a remote monitoring system.

The present invention has been made in order to solve the above-described problems. A data acquisition system and an abnormality detection system that can reduce the amount of data acquired from a refrigeration cycle apparatus, a refrigeration cycle apparatus including the above-described system, And it aims at providing the data acquisition method and abnormality detection method which can reduce the data amount acquired from a refrigerating-cycle apparatus.

A data acquisition system according to the present invention is connected to a refrigeration cycle apparatus including a compressor and a decompression device, and acquires first data that is a part of parameters measured in the refrigeration cycle apparatus from the refrigeration cycle apparatus. And when the 1st data exists in a target range, it has a control device which acquires the 2nd data which is other part of the parameter measured in the refrigeration cycle device from the refrigeration cycle device.

The abnormality detection system according to the present invention is connected to a refrigeration cycle apparatus including a compressor and a decompression device, and acquires first data that is a part of parameters measured in the refrigeration cycle apparatus from the refrigeration cycle apparatus. When the first data is in the first target range, second data that is another part of the parameter measured in the refrigeration cycle apparatus is acquired from the refrigeration cycle apparatus, A controller that detects that the refrigeration cycle apparatus is abnormal when the second data is not within the second target range;

The refrigeration cycle apparatus according to the present invention acquires from the refrigeration cycle circuit a refrigeration cycle circuit including a compressor and a decompression device, and first data that is a part of parameters measured in the refrigeration cycle circuit, And a control device that acquires, from the refrigeration cycle circuit, second data that is another part of the parameter measured in the refrigeration cycle circuit when the first data is in the first target range.

A data acquisition method according to the present invention is a data acquisition method of a data acquisition system for acquiring a parameter measured in a refrigeration cycle apparatus including a compressor and a decompression device, wherein the parameter measured in the refrigeration cycle apparatus The first data which is a part is obtained from the refrigeration cycle apparatus, and the first data which is another part of the parameter measured in the refrigeration cycle apparatus when the first data is in a target range. 2 data is acquired from the refrigeration cycle apparatus.

An abnormality detection method according to the present invention is an abnormality detection method of an abnormality detection system for detecting an abnormality of a refrigeration cycle apparatus including a compressor and a decompression device, and is a part of parameters measured in the refrigeration cycle apparatus. A step of obtaining certain first data from the refrigeration cycle apparatus, and a first parameter that is another part of a parameter measured in the refrigeration cycle apparatus when the first data is in a first target range. And a step of detecting that the refrigeration cycle apparatus is abnormal when the second data is not within the second target range.

According to the present invention, since a part of the parameters measured in the refrigeration cycle apparatus can be obtained, the amount of data acquired from the refrigeration cycle apparatus can be reduced.

It is a refrigerant circuit diagram which shows an example of schematic structure of the air conditioning apparatus 101 which concerns on Embodiment 1 of this invention. It is the schematic which shows the example of a connection to the air conditioning apparatus 101 of the management system 106 which concerns on Embodiment 1 of this invention. It is a block diagram which shows the structure of the monitoring apparatus 104 in the management system 106 which concerns on Embodiment 1 of this invention. It is a block diagram which shows the structure of the data storage device 105 in the management system 106 concerning Embodiment 1 of this invention. It is a flowchart which shows an example of the control processing performed with the monitoring apparatus 104, when the management system 106 which concerns on Embodiment 1 of this invention is comprised as a data acquisition system. It is the block diagram which showed roughly an example of the process of classifying the 1st data which concerns on Embodiment 1 of this invention into a some data group. It is a flowchart which shows an example of the control processing performed with the monitoring apparatus 104, when the management system 106 which concerns on Embodiment 1 of this invention is comprised as an abnormality detection system. It is the graph which showed roughly an example of the abnormality detection in the control part 121 of the monitoring apparatus 104 when the management system 106 which concerns on Embodiment 1 of this invention is comprised as an abnormality detection system. 4 schematically shows an example of data transmission / reception between the data transmission apparatus 102 and the management system 106 in the abnormality detection processing according to the first embodiment of the present invention. It is a refrigerant circuit figure which shows an example of schematic structure of the air conditioning apparatus 101 which concerns on Embodiment 2 of this invention. It is a flowchart which shows the example of the determination process of the numerical range for classifying the 1st data into a some data group in the management system 106 which concerns on Embodiment 4 of this invention.

Embodiment 1 FIG.
A refrigeration cycle apparatus connected to the management system 106 according to Embodiment 1 of the present invention will be described. Refer to FIG. 2 described later for the management system 106. Although details of the management system 106 will be described later, in the first embodiment, the management system 106 is configured as, for example, a data acquisition system or an abnormality detection system.

FIG. 1 is a refrigerant circuit diagram illustrating an example of a schematic configuration of an air-conditioning apparatus 101 according to Embodiment 1. In this Embodiment 1, the air conditioning apparatus 101 is illustrated as a refrigeration cycle apparatus. The air conditioner 101 according to the first embodiment is a building multi-air conditioner installed in a building, apartment, commercial facility, or the like. The air conditioner 101 can perform a cooling operation or a heating operation by performing a vapor compression refrigeration cycle operation in which a refrigerant for air conditioning is circulated. The cooling operation and the heating operation can be switched by selection on the use unit side.

As shown in FIG. 1, the air conditioner 101 has a refrigeration cycle circuit that circulates refrigerant therein. In the refrigeration cycle circuit, the compressor 1, the four-way valve 2, the outdoor heat exchanger 3, the at least one

expansion valve

14a, 14b, the at least one indoor heat exchanger 15a, 15b, and the accumulator 19 are ring-shaped via a refrigerant pipe. It has the structure connected to. During the cooling operation, the compressor 1, the outdoor heat exchanger 3, the expansion valve 14a and the indoor heat exchanger 15a, or the compressor 1, the outdoor heat exchanger 3, the expansion valve 14b and the indoor heat exchanger 15b are annularly arranged in this order. Connected. During the heating operation, the refrigerant flow path is switched by the four-way valve 2, and the compressor 1, the indoor heat exchanger 15a, the expansion valve 14a and the outdoor heat exchanger 3, or the compressor 1, the indoor heat exchanger 15b, and the expansion valve 14b. And the outdoor heat exchanger 3 is connected cyclically | annularly in this order.

The air conditioner 101 also has a bypass circuit 21 that returns a part of the refrigerant flowing between the outdoor heat exchanger 3 and the

expansion valves

14a and 14b to the accumulator 19. The bypass circuit 21 is provided with a bypass depressurization mechanism 20 that depressurizes the refrigerant diverted to the bypass circuit 21. Furthermore, the air conditioner 101 has a supercooling heat exchanger 11 that cools the refrigerant flowing between the outdoor heat exchanger 3 and the

expansion valves

14a and 14b by heat exchange with the refrigerant depressurized by the bypass depressurization mechanism 20. is doing.

The air conditioner 101 includes, for example, one heat source unit 304 installed outdoors, and a plurality of

use units

303a and 303b installed indoors and connected in parallel to the heat source unit 304, for example. ing. The heat source unit 304 and the

utilization units

303 a and 303 b are connected via a liquid pipe 27 and a gas pipe 28. The liquid pipe 27 and the gas pipe 28 are extension pipes that connect the heat source unit 304 and the

utilization units

303a and 303b, and are part of the refrigerant pipes that constitute the refrigeration cycle. Although FIG. 1 shows one heat source unit 304 and two

utilization units

303a and 303b, the air conditioner 101 may include two or more heat source units 304, or one unit. May have only three or more other usage units. The heat source unit 304 is an example of an indoor unit. The

use units

303a and 303b are examples of indoor units and are also referred to as load units.

The heat source unit 304 houses the compressor 1, the four-way valve 2, the outdoor heat exchanger 3, the accumulator 19, the supercooling heat exchanger 11, the bypass pressure reducing mechanism 20, and the like. In addition, the heat source unit 304 houses an outdoor fan 4 that blows outside air to the outdoor heat exchanger 3.

The use unit 303a accommodates an expansion valve 14a and an indoor heat exchanger 15a. Moreover, although not shown in figure, the utilization unit 303a contains the indoor air blower which ventilates the indoor heat exchanger 15a. Similarly, although not shown, the utilization unit 303b accommodates an expansion valve 14b, an indoor heat exchanger 15b, and an indoor fan that blows air to the indoor heat exchanger 15b.

Compressor 1 is a fluid machine that compresses sucked low-pressure refrigerant and discharges it as high-pressure refrigerant. In the compressor 1 of the first embodiment, the rotational speed is controlled by an inverter.

The four-way valve 2 is an example of the refrigerant flow switching device, and is a valve that switches the flow direction of the refrigerant between the cooling operation and the heating operation. The four-way valve 2 has first to fourth four ports. The first port is connected to the discharge side of the compressor 1. The second port is connected to the outdoor heat exchanger 3. The third port is connected to an accumulator 19 connected to the suction side of the compressor 1. The fourth port is connected to the gas pipe 28. During the cooling operation, the four-way valve 2 is set to a state in which the first port and the second port communicate with each other and the third port and the fourth port communicate with each other, as shown by the solid line in FIG. During the heating operation, the four-way valve 2 is set to a state in which the first port and the fourth port communicate with each other and the second port and the third port communicate with each other, as indicated by the broken line in FIG.

The outdoor heat exchanger 3 is also referred to as a heat source side heat exchanger, and functions as a condenser during the cooling operation and functions as an evaporator during the heating operation. As shown in FIG. 1, the outdoor heat exchanger 3 is configured as, for example, an air-cooled heat source side heat exchanger in which heat is exchanged between the refrigerant circulating inside and the air blown by the outdoor blower 4, that is, outside air. it can. The air-cooling heat source side heat exchanger can be configured as, for example, a cross-fin type fin-and-tube heat exchanger including heat transfer tubes and a plurality of fins. In addition, a condenser is also called a heat radiator and an evaporator is also called a cooler.

The outdoor blower 4 is also referred to as a heat source side blower fan, and the flow rate of air supplied to the outdoor heat exchanger 3 can be variably adjusted. The outdoor blower 4 is, for example, a propeller fan that is driven by a DC fan motor.

The accumulator 19 has a function of preventing a large amount of liquid refrigerant from flowing into the compressor 1 by retaining a refrigerant storage function for storing excess refrigerant and a liquid refrigerant that is temporarily generated when the operating state changes. And a liquid separation function.

The

expansion valves

14a and 14b are electronic expansion valves whose opening degree can be adjusted in multiple stages or continuously, for example. For example, a linear electronic expansion valve is used as the electronic expansion valve. The

expansion valves

14a and 14b are examples of a pressure reducing device, and other pressure reducing devices such as capillaries can be used instead of the

expansion valves

14a and 14b.

The indoor heat exchangers 15a and 15b are also referred to as load-side heat exchangers, and function as evaporators during the cooling operation and function as condensers during the heating operation. In the indoor heat exchangers 15a and 15b, heat exchange is performed between the refrigerant circulating in the interior and the air blown by the indoor blower. The indoor heat exchangers 15a and 15b can be configured as, for example, cross-fin type fin-and-tube heat exchangers configured by heat transfer tubes and a plurality of fins.

The air conditioner 101 includes a pressure sensor 201 that detects a discharge pressure that is a pressure of refrigerant discharged from the compressor 1 and a pressure sensor that detects a suction pressure that is a pressure of refrigerant sucked into the compressor 1. 211. The

pressure sensors

201 and 211 output detection signals to the control unit 107 described later.

The air conditioner 101 is provided with a plurality of temperature sensors that detect the temperature of the refrigerant in the refrigeration cycle directly or indirectly through a refrigerant pipe or the like. Specifically, the heat source unit 304 includes a temperature sensor 202 that detects the temperature of the refrigerant discharged from the compressor 1, and a liquid side refrigerant of the outdoor heat exchanger 3, that is, the outdoor heat exchanger 3 during cooling operation. A temperature sensor 203 for detecting the temperature of the liquid refrigerant flowing out of the refrigerant, the temperature of the liquid refrigerant or two-phase refrigerant flowing into the outdoor heat exchanger 3 during heating operation, and the high pressure side flow path of the supercooling heat exchanger 11 and the liquid piping 27. A temperature sensor 207 that detects the temperature of the refrigerant in between, a temperature sensor 212 that detects the temperature of the refrigerant between the bypass pressure reducing mechanism 20 and the low-pressure side flow path of the supercooling heat exchanger 11, and the supercooling heat exchanger 11 And a temperature sensor 213 for detecting the temperature of the refrigerant on the outlet side of the low-pressure channel. The utilization unit 303a is provided with

temperature sensors

208a and 209a for detecting the temperature of the refrigerant on the inlet side and the outlet side of the indoor heat exchanger 15a. Similarly, the utilization unit 303b is provided with

temperature sensors

208b and 209b for detecting the temperature of the refrigerant on the inlet side and the outlet side of the indoor heat exchanger 15b.

Also, the heat source unit 304 is provided with a temperature sensor 214 that detects the temperature of the bottom of the compressor 1 and a temperature sensor 204 that detects an ambient temperature such as the outside air temperature of the heat source unit 304. The usage unit 303a is provided with a temperature sensor 210a that detects an ambient temperature such as the room temperature of the usage unit 303a. The usage unit 303b is provided with a temperature sensor 210b that detects an ambient temperature such as the room temperature of the usage unit 303b.

Moreover, the air conditioning apparatus 101 has a control unit 107. The control unit 107 includes a microcomputer having a CPU, a ROM, a RAM, an I / O port, and the like. The control unit 107 may include a heat source unit control device provided in the heat source unit 304 and a use unit control device provided in each of the

use units

303a and 303b and capable of data communication with the heat source unit control device.

The control unit 107 includes at least a refrigeration cycle based on detection signals from the

pressure sensors

201 and 211 and the

temperature sensors

202, 203, 204, 207, 208a, 208b, 209a, 209b, 210a, 210b, 212, 213, and 214. The operation state of the air conditioning apparatus 101 including the operation and stop of the above is controlled. In addition, the control unit 107 performs pressure and temperature data acquired based on detection signals from various sensors, at least during the operation period of the refrigeration cycle, or at all times including the operation period and the stop period of the refrigeration cycle, and the operation of the refrigeration cycle. / Data indicating the stop state, and operation data for each unit period of the air-conditioning apparatus 101, for example, every day can be configured to be transmitted to the data transmission apparatus 102. For example, the data transmitted from the control unit 107 to the data transmitting device 102 includes refrigerant pressure and temperature data in the refrigeration cycle, bottom temperature data of the compressor 1 in the refrigeration cycle, and ambient temperature data of the heat source unit 304. , Data on the ambient temperature of the

use units

303a and 303b, and the like are included.

Next, the operation of the air conditioner 101 will be described. The control unit 107 can control each device mounted on the heat source unit 304 and the

usage units

303a and 303b based on requests from the

usage units

303a and 303b, and can execute the cooling operation mode and the heating operation mode. .

First, the cooling operation mode will be described. In the cooling operation mode, the four-way valve 2 is controlled so that the discharge side of the compressor 1 and the outdoor heat exchanger 3 are connected, and the suction side of the compressor 1 and the gas pipe 28 are connected.

The high-temperature and high-pressure gas refrigerant discharged from the compressor 1 flows into the outdoor heat exchanger 3 via the four-way valve 2. In the cooling operation, the outdoor heat exchanger 3 functions as a condenser. That is, in the outdoor heat exchanger 3, heat exchange is performed between the refrigerant flowing through the inside and the outside air blown by the outdoor blower 4, and the heat of condensation of the refrigerant is radiated to the blown air. Thereby, the refrigerant | coolant which flowed into the outdoor heat exchanger 3 condenses and turns into a high voltage | pressure liquid refrigerant. The high-pressure liquid refrigerant is cooled by heat exchange with the low-pressure refrigerant in the supercooling heat exchanger 11. Thereafter, a part of the liquid refrigerant flows into the bypass circuit 21, and the other liquid refrigerant flows into the liquid pipe 27.

The high-pressure liquid refrigerant that has passed through the liquid pipe 27 is decompressed by the

expansion valves

14a and 14b to become a low-pressure two-phase refrigerant. The low-pressure two-phase refrigerant that has passed through the

expansion valves

14a and 14b flows into the indoor heat exchangers 15a and 15b. In the cooling operation, the indoor heat exchangers 15a and 15b function as evaporators. That is, in the indoor heat exchangers 15a and 15b, heat exchange is performed between the refrigerant circulating in the interior and the indoor air blown by the indoor blower, and the evaporation heat of the refrigerant is absorbed from the blown air. As a result, the refrigerant flowing into the indoor heat exchangers 15a and 15b evaporates to become a low-pressure gas refrigerant or a two-phase refrigerant. Moreover, the air blown by the indoor blower is cooled by the endothermic action of the refrigerant and becomes cold air. The low-pressure gas refrigerant or two-phase refrigerant that has passed through the indoor heat exchangers 15 a and 15 b passes through the gas pipe 28 and the four-way valve 2 and flows into the accumulator 19. The low-pressure gas refrigerant in the accumulator 19 is sucked into the compressor 1 and compressed to become a high-temperature and high-pressure gas refrigerant. In the cooling operation, these cycles are repeated.

During the cooling operation, the compressor 1 is controlled so that the evaporation temperature becomes a predetermined value. The evaporation temperature is a saturation temperature at the suction pressure detected by the pressure sensor 211. The outdoor blower 4 is controlled so that the condensation temperature becomes a predetermined value. The condensation temperature is a saturation temperature at the discharge pressure detected by the pressure sensor 201. That is, the compressor 1 and the outdoor blower 4 have a function of controlling the refrigerant pressure. The bypass pressure reducing mechanism 20 is controlled so that the degree of bypass superheat becomes a predetermined value. The bypass superheat degree is a value obtained by subtracting the temperature detected by the temperature sensor 212 from the temperature detected by the temperature sensor 213. The expansion valve 14a is controlled so that the indoor superheat degree becomes a predetermined value. The indoor superheat degree is a value obtained by subtracting the temperature detected by the temperature sensor 208a from the temperature detected by the temperature sensor 209a. Similarly, the expansion valve 14b is controlled such that the indoor superheat degree, which is a value obtained by subtracting the temperature detected by the temperature sensor 208b from the temperature detected by the temperature sensor 209b, becomes a predetermined value.

Further, during the cooling operation, in the air conditioner 101, the entire system of the air conditioner 101 is controlled so that the degree of supercooling is in the constant temperature range when the condensation temperature is in the constant temperature range. . The degree of supercooling is a value obtained by subtracting the temperature detected by the temperature sensor 207 from the saturation temperature at the discharge pressure detected by the pressure sensor 201.

Next, the heating operation mode will be described. In the heating operation mode, the four-way valve 2 is controlled so that the discharge side of the compressor 1 and the gas pipe 28 are connected, and the suction side of the compressor 1 and the outdoor heat exchanger 3 are connected.

The high-temperature and high-pressure gas refrigerant discharged from the compressor 1 flows into the indoor heat exchangers 15 a and 15 b via the four-way valve 2 and the gas pipe 28. In the heating operation, the indoor heat exchangers 15a and 15b function as condensers. That is, in the indoor heat exchangers 15a and 15b, heat exchange is performed between the refrigerant circulating in the interior and the indoor air blown by the indoor blower, and the heat of condensation of the refrigerant is radiated to the blown air. Thereby, the refrigerant | coolant which flowed into indoor heat exchanger 15a, 15b condenses and turns into a high voltage | pressure liquid refrigerant. In addition, the air blown by the indoor blower is heated by the heat dissipation action of the refrigerant and becomes hot air. The high-pressure liquid refrigerant condensed in the indoor heat exchangers 15a and 15b is depressurized by the

expansion valves

14a and 14b to become a low-pressure two-phase refrigerant.

The low-pressure two-phase refrigerant that has passed through the

expansion valves

14 a and 14 b flows into the outdoor heat exchanger 3 via the liquid pipe 27 and the supercooling heat exchanger 11. In the heating operation, the outdoor heat exchanger 3 functions as an evaporator. That is, in the outdoor heat exchanger 3, heat exchange is performed between the refrigerant circulating inside and the outside air blown by the outdoor blower 4, and the evaporation heat of the refrigerant is absorbed from the blown air. Thereby, the refrigerant flowing into the outdoor heat exchanger 3 evaporates and becomes a low-pressure gas refrigerant. The low-pressure gas refrigerant flows into the accumulator 19 through the four-way valve 2. The low-pressure gas refrigerant in the accumulator 19 is sucked into the compressor 1 and compressed to become a high-temperature and high-pressure gas refrigerant. In the heating operation, these cycles are repeated.

During the heating operation, the compressor 1 is controlled so that the condensation temperature becomes a predetermined value. The outdoor blower 4 is controlled so that the evaporation temperature becomes a predetermined value. The

expansion valves

14a and 14b are controlled so that the indoor supercooling degree becomes a predetermined value. The indoor supercooling degree is a value obtained by subtracting the temperature detected by the temperature sensor 208 a or the temperature sensor 208 b from the saturation temperature at the discharge pressure detected by the pressure sensor 201.

Further, during the heating operation, in the air conditioner 101, the entire system of the air conditioner 101 is controlled so that the degree of supercooling is in the constant temperature range when the condensation temperature is in the constant temperature range. . The degree of supercooling is a value obtained by subtracting the temperature detected by the temperature sensor 208 a or the temperature sensor 208 b from the saturation temperature at the discharge pressure detected by the pressure sensor 201.

Next, the management system 106 according to the first embodiment connected to the above-described refrigeration cycle apparatus will be described. As described above, in the first embodiment, the refrigeration cycle apparatus management system 106 is configured as a data acquisition system or an abnormality detection system. Moreover, below, it demonstrates using the air conditioning apparatus 101 as an example of the refrigerating-cycle apparatus connected to the management system 106. FIG.

FIG. 2 is a schematic diagram illustrating an example of connection of the management system 106 according to the first embodiment to the air conditioning apparatus 101. As shown in FIG. 2, the management system 106 can be connected to a data transmission apparatus 102 connected to at least one air conditioning apparatus 101 via a communication network 103.

The data transmission device 102 is configured as a local controller, for example, and is installed in the property 108 together with the air conditioning device 101. The data transmission device 102 is connected to one or a plurality of air conditioners 101 directly or via a dedicated adapter. The data transmission device 102 transmits and receives data to and from the control unit 107 of one or a plurality of air conditioners 101, and centrally manages the air conditioner 101. The data transmitting apparatus 102 has a microcomputer including a CPU, ROM, RAM, I / O port, and the like. The data transmission device 102 is configured to transmit and receive data to and from the management system 106. For example, the data transmission device 102 periodically receives data such as pressure and temperature from the control unit 107 and transmits the received data to the management system 106.

The management system 106 includes a monitoring device 104 that processes data received from the data transmission device 102 and a data storage device 105 that stores data received from the data transmission device 102. The management system 106 can be installed, for example, in a remote management center as a remote server away from the property 108, for example.

FIG. 3 is a block diagram showing a configuration of the monitoring device 104 in the management system 106 according to the first embodiment. As illustrated in FIG. 3, the monitoring device 104 is an example of a control device in the management system 106, and includes a calculation unit 120, a control unit 121, a communication unit 122, and a display unit 123. The computing unit 120 is configured to perform computations such as calculating an average value of data. The control unit 121 is configured to control a data transmission command or the like to the data transmission apparatus 102. For example, when the management system 106 is configured as an abnormality detection system, the control unit 121 can be configured to perform control such as setting of an abnormality detection mode and abnormality determination. The communication unit 122 is configured to transmit / receive data to / from the data transmission apparatus 102 via the communication network 103 such as the Internet line and to transmit / receive data to / from the data storage apparatus 105. For example, when the management system 106 is configured as an abnormality detection system, the display unit 123 is configured to display the determination result of the abnormality determination of the air conditioner 101 performed by the monitoring device 104, that is, whether there is an abnormality. Is done.

FIG. 4 is a block diagram showing a configuration of the data storage device 105 in the management system 106 according to the first embodiment. As shown in FIG. 4, the data storage device 105 has a storage device 140. The storage device 140 includes a communication unit 141 that transmits and receives data to and from the monitoring device 104 and a storage unit 142 that stores received data. The data storage device 105 receives a set of data from the monitoring device 104, for example, the pressure or temperature data of the refrigeration cycle of the air conditioner 101, the ambient temperature data of the heat source unit 304, and the ambient temperature of the

usage units

303a and 303b. When data is received, a set of data is associated with each other, and then sequentially stored in the storage unit 142 as new data in time series. In the first embodiment, the data storage device 105 is connected to the communication network 103 via the monitoring device 104, but the data storage device 105 may be directly connected to the communication network 103.

In the first embodiment, the data transmission device 102, the monitoring device 104, and the data storage device 105 are configured differently from the air conditioning device 101. However, the functions of the data transmission device 102, the monitoring device 104, and the data storage device 105 are different. It is good also as a structure with which the control part 107 of the air conditioning apparatus 101 is equipped. In the first embodiment, the management system 106 is configured to be connected to the air conditioning apparatus 101 via the data transmission apparatus 102 and the communication network 103. However, the management system 106 is directly connected to the air conditioning apparatus 101. It may be configured.

Next, control processing executed by the monitoring apparatus 104 when the management system 106 according to the first embodiment is configured as a data acquisition system will be described with reference to FIG.

FIG. 5 is a flowchart illustrating an example of a control process executed by the monitoring device 104 when the management system 106 according to the first embodiment is configured as a data acquisition system. The process shown in FIG. 5 is repeatedly performed at predetermined time intervals at least at all times including during operation of the air conditioner 101 or only during operation of the air conditioner 101.

In the following description, among parameters measured by the air conditioner 101, parameters indicating the state of the pressure or temperature of the air conditioner 101, for example, the pressure or temperature data in the refrigeration cycle of the air conditioner 101 are used. , Referred to as environmental parameters. Of the parameters measured in the air conditioner 101, the frequency of the compressor 1, the opening degree of the

expansion valves

14a and 14b, the rotational speed of the outdoor blower 4, etc. The parameter indicating the operation state is referred to as an operation state parameter.

In step S <b> 1, the control unit 121 of the monitoring device 104 transmits first data, which is a part of parameters measured in the air conditioning apparatus 101, from the air conditioning apparatus 101 via the data transmission apparatus 102 and the communication network 103. Perform the acquisition process. For example, the first data includes environmental parameters in the air conditioner 101 or operating condition parameters of the air conditioner 101.

In step S2, the control unit 121 of the monitoring device 104 performs a process of classifying the acquired first data into a plurality of data groups. The numerical ranges of the plurality of data groups are determined as arbitrary numerical ranges according to the attributes of the first data such as the condensation temperature and the evaporation temperature. FIG. 6 is a block diagram schematically showing an example of a process of classifying the first data according to the first embodiment into a plurality of data groups. As shown in FIG. 6, the first data classified in the monitoring device 104 is transmitted to the data storage device 105. The transmitted first data is stored for each data group in the storage unit 142 of the storage device 140 in the data storage device 105. The calculation for classifying the first data into a plurality of data groups is performed by the calculation unit 120 of the monitoring device 104.

In step S3, the control unit 121 of the monitoring device 104 performs a process of selecting an index data group that is a target range from a plurality of stored data groups. The index data group serving as the target range is calculated, for example, by the calculation unit 120 of the monitoring apparatus 104 using the frequency that is the occurrence rate of a plurality of data groups, and the control unit 121 of the monitoring apparatus 104 uses the high frequency based on the calculation result. This is determined by selecting the index data group. In FIG. 6, the high-frequency index data group that is the target range is illustrated as “condition A”.

In step S4, the control unit 121 of the monitoring device 104 determines whether or not the first data is within the target range. If it is determined that the first data is not within the target range, the control process ends. For example, in FIG. 6, in step S4, it is determined whether or not the first data satisfies the condition A. When it is determined that the first data does not satisfy the condition A, for example, when the first data satisfies the infrequent conditions B and C in FIG. 6, the control process ends.

When it is determined that the first data is within the target range, in step S5, the control unit 121 of the monitoring device 104 sets the second data, which is another part of the parameter measured by the air conditioner 101, Processing to acquire from the air conditioning apparatus 101 via the data transmission apparatus 102 and the communication network 103 is performed. The second data includes environmental parameters in the air conditioner 101 or operating condition parameters of the air conditioner 101, and is different from the first data.

Specifically, in step S <b> 5, the control unit 121 of the monitoring device 104 transmits a second data transmission command to the data transmission device 102. The data transmitting apparatus 102 that has received the data transmission command acquires the second data from the air conditioning apparatus 101 and transmits the second data to the management system 106 via the communication network 103. The control unit 121 of the monitoring device 104 in the management system 106 transmits the acquired second data to the data storage device 105. The second data transmitted to the data storage device 105 is stored in the storage unit 142 of the storage device 140 in the data storage device 105.

In steps S2 to S4, the configuration in which the target range of the first data is determined by the monitoring device 104 is illustrated, but the target range of the first data is the attribute of the first data, the air conditioning The predetermined value may be set in advance in consideration of the specification of the apparatus 101 and the like. For example, when the first data is the condensation temperature, the target range of the first data, that is, the target temperature range of the condensation temperature can be set to a range of 33 ° C. to 37 ° C.

Next, control processing executed by the monitoring device 104 when the management system 106 according to the first embodiment is configured as an abnormality detection system will be described with reference to FIG.

FIG. 7 is a flowchart illustrating an example of a control process executed by the monitoring apparatus 104 when the management system 106 according to the first embodiment is configured as an abnormality detection system. The process shown in FIG. 7 is repeatedly executed at a predetermined time interval at least during the operation of the air conditioner 101 at least at all times including during the operation of the air conditioner 101, similarly to the process of FIG.

In step S11, the control unit 121 of the monitoring device 104 converts the first data, which is a part of the parameters measured in the air conditioner 101, into the air conditioner as in the process of step S1 in the data acquisition system. The processing acquired from 101 is performed. In step S12, the control unit 121 of the monitoring device 104 performs a process of classifying the acquired first data into a plurality of data groups, similarly to the process of step S2 in the data acquisition system.
In step S13, the control unit 121 of the monitoring device 104 selects the index data group that is the first target range from the plurality of stored data groups, as in the process of step S3 in the data acquisition system. Perform the process. The index data group is a data group that serves as an index for abnormality detection in the abnormality detection system. In step S14, whether or not the first data transmitted from the data transmission device 102 is within the first target range by the control unit 121 of the monitoring device 104 is the same as the processing in step S4 in the data acquisition system. Is determined. When it is determined that the first data is within the first target range, in step S15, the control unit 121 of the monitoring device 104 performs measurement in the air conditioner 101 in the same manner as the processing of step S5 in the data acquisition system. The second data that is another part of the parameter to be obtained is acquired from the air conditioning apparatus 101 via the data transmission apparatus 102 and the communication network 103.

In step S16, the control unit 121 of the monitoring device 104 performs a process of comparing the second data with the second target range. The comparison calculation is performed by the calculation unit 120 of the monitoring device 104. For example, the control unit 121 of the monitoring device 104 stores the second data acquired in the past as the third data in the storage unit 142 of the storage device 140 in the data storage device 105 and stores it in the storage device 140. The second target range can be determined from the obtained third data.

In step S17, the control unit 121 of the monitoring device 104 determines whether or not the second data is in the second target range. When it is determined that the second data is in the second target range, the second data is regarded as a normal value, and the control process ends.

When it is determined that the second data is not within the second target range, in step S18, the control unit 121 of the monitoring device 104 detects that the second data is abnormal.

FIG. 8 is a graph schematically showing an example of abnormality detection in the control unit 121 of the monitoring apparatus 104 when the management system 106 according to the first embodiment is configured as an abnormality detection system. The vertical axis in FIG. 8 is the size of the second data. For example, when the second data is the operating frequency of the compressor 1, the unit of the vertical axis is Hz. The horizontal axis in FIG. 8 shows the passage of time. Two dotted lines parallel to the horizontal axis drawn in the graph of FIG. 8 represent the second target range determined to be a normal value from the past second data. The magnitude of the second data at any time is shown in the plot. As shown in the graph of FIG. 8, the monitoring device 104 determines that the current second data is determined from the numerical range of the past second data, that is, the third data stored in the storage device 140. It can be configured to determine that there is an abnormality when it is out of the target range of 2.

When it is detected that the second data is abnormal, the control unit 121 of the monitoring device 104 can be configured to display the abnormality on the display unit 123 in real time. Moreover, the control part 121 of the monitoring apparatus 104 can be comprised so that the 2nd data memorize | stored in the memory | storage device 140 may be output like the graph of FIG. 8 at the time of the maintenance check of the air conditioning apparatus 101 or a periodic check. By outputting the second data as a graph, the maintenance inspector or periodic inspector of the air conditioner 101 can detect an abnormality from the data transition of the graph.

Next, when the management system 106 is configured as an abnormality detection system, data transmission / reception between the data transmission apparatus 102 and the management system 106 and abnormality detection in the management system 106 are specifically described using the first to third embodiments. Explained.

In the following first to third embodiments, the first data, the second data, the condition A which is an index data group serving as an abnormality detection index, and the condition B which is another data group described in the control process of FIG. And C, and the numerical range of the second data in the past are specifically specified. Note that, as described in the control process of FIG. 7, the condition A corresponds to the first target range, and the condition B and the condition C are a data group outside the first target range. The numerical range of the past second data corresponds to the second target range determined from the third data stored in the storage device 140.

In the following first to third embodiments, the first data corresponds to the control amount in the air conditioner 101. The first target range corresponds to a control value target value in the air-conditioning apparatus 101. The second data corresponds to the operation amount for adjusting the first data to the target value of the control amount in the air conditioning apparatus 101. The second target range is a normal operation amount that is used to adjust the first data to the target value of the control amount in the air conditioner 101.

Example 1
Example 1 in the first embodiment will be described with reference to FIG. FIG. 9 schematically shows an example of data transmission / reception between the data transmission apparatus 102 and the management system 106 in the control processing of the first embodiment. An arrow extending vertically downward indicates the passage of time, and a horizontal arrow indicates data transmission / reception.

In the air conditioner 101, the operating frequency f of the compressor 1 is controlled such that the condensation temperature T falls within a predetermined numerical range. That is, in the control system of the air conditioner 101 of the first embodiment, the condensation temperature T is a control amount, and the operating frequency f of the compressor 1 is an operation amount. In the first embodiment, the first data is the condensing temperature T that is the control amount, and the second data is the operating frequency f of the compressor 1 that is the operation amount. The condensation temperature T is calculated as a saturation temperature at the discharge pressure detected by the pressure sensor 201, for example.

When the performance of the compressor 1 is normal, the operating frequency f of the compressor 1 that is the operation amount is controlled within the predetermined numerical range so that the condensation temperature T that is the control amount falls within the predetermined numerical range. Therefore, when the compressor 1 is abnormal, for example, when the performance of the compressor 1 is degraded, the operating frequency f of the compressor 1 is set to a predetermined value so that the condensation temperature T falls within a predetermined numerical range. It is controlled to be larger than the numerical range.

The condition A which is an index data group serving as an anomaly detection index in Example 1, that is, the first target range, is such that the condensation temperature T is 34 ° C. <T ≦ 36 ° C. In addition, conditions B and C, which are other data groups, assume that the condensation temperatures T are 36 ° C. <T ≦ 38 ° C. and 32 ° C. <T ≦ 34 ° C., respectively.

Also, the past second data in the first embodiment, that is, the second target range which is the numerical range of the past operating frequency f of the compressor 1 is 58 Hz <f ≦ 62 Hz.

In phase P1 of FIG. 9, a case is considered where the first data, for example, T = 37.0 ° C., 33.5 ° C., which is the control amount that does not satisfy the condition A, is transmitted from the data transmitting apparatus 102. In this case, the management system 106 classifies these first data into data groups of conditions B and C. On the other hand, since the management system 106 does not perform any action on the data transmission apparatus 102, the abnormality detection process in the phase P1 ends.

In phase P2 of FIG. 9, a case is considered where the first data, for example, T = 35.0 ° C., which is the control amount that satisfies the condition A is transmitted from the data transmitting apparatus 102. In this case, the management system 106 classifies the first data into the data group of the condition A, and the management system 106 sends a transmission request for the operation frequency f of the compressor 1 as the second data to the data transmission device 102. Do. In response to this transmission request, the data transmission apparatus 102 transmits second data that is an operation amount to the management system 106. Here, it is assumed that the operating frequency f of the compressor 1 transmitted to the management system 106 is f = 60.0 Hz. In the management system 106, the acquired second data is compared with a second target range that is a numerical range of the past second data, and the acquired second data is determined to be in the second target range. The As a result, it is detected that the second data is a normal value, and the abnormality detection process in phase P2 ends.

In phase P3 of FIG. 9, a case is considered where the first data, for example, T = 35.5 ° C., which is the control amount that satisfies the condition A is transmitted from the data transmitting apparatus 102. In this case, the management system 106 classifies the first data into the data group of the condition A, and the management system 106 sends a transmission request for the operation frequency f of the compressor 1 as the second data to the data transmission device 102. Do. In response to this transmission request, the data transmission apparatus 102 transmits second data that is an operation amount to the management system 106. Here, it is assumed that the operating frequency f of the compressor 1 transmitted to the management system 106 is f = 65.0 Hz. In the management system 106, the acquired second data is compared with a second target range that is a numerical range of the past second data, and it is determined that the acquired second data is not within the second target range. The As a result, it is detected that the second data is abnormal, and the abnormality detection process in phase P3 ends.

(Example 2)
In the air conditioner 101 during the heating operation, the rotational speed n of the outdoor blower 4, for example, the rotational speed n in minutes, is controlled so that the evaporation temperature T <b> 1 falls within a predetermined numerical range. That is, in the control system of the air conditioner 101 of the second embodiment, the evaporation temperature T1 is a control amount, and the rotational speed n of the outdoor fan 4 is an operation amount. In Example 2, the first data is the evaporation temperature T1 that is the control amount, and the second data is the rotation speed n in minutes of the outdoor blower 4 that is the operation amount. The evaporation temperature T1 is calculated as a saturation temperature at the discharge pressure detected by the pressure sensor 201, for example.

When the performance of the outdoor blower 4 is normal, the rotational speed n of the outdoor blower 4 as the operation amount is controlled within a predetermined numerical range so that the evaporation temperature T1 as the control amount falls within the predetermined numerical range. Therefore, when there is an abnormality in the outdoor blower 4, for example, when the performance of the outdoor blower 4 is degraded, the rotational speed n of the outdoor blower 4 is a predetermined value so that the evaporation temperature T1 falls within a predetermined numerical range. It is controlled to be larger than the numerical range.

In condition 2, which is an index data group serving as an abnormality detection index in Example 2, that is, the first target range, the evaporation temperature T1 is set to be −36 ° C. <T1 ≦ −34 ° C. Further, conditions B and C, which are other data groups, assume that the evaporation temperature T1 is −38 ° C. <T1 ≦ −36 ° C. and −34 ° C. <T1 ≦ −32 ° C., respectively.

Further, the second past range in the second example, that is, the second target range that is the numerical range of the number of revolutions n of the past outdoor fan 4 in a minute unit is 58 <n ≦ 62.

Consider a case in which first data, for example, T1 = −37.0 ° C., −35.5 ° C., which is a control amount that does not satisfy the condition A, is transmitted from the data transmitting apparatus 102. In this case, as in the case of phase P1 in FIG. 9, the management system 106 classifies these first data into data groups of conditions B and C. On the other hand, since the management system 106 does not perform any action on the data transmission apparatus 102, the abnormality detection process in this phase ends.

Consider a case where first data, for example, T1 = −35.0 ° C., which is a controlled variable that satisfies the condition A, is transmitted from the data transmitting apparatus 102. In this case, as in the case of the phase P2 in FIG. 9, the management system 106 classifies the first data into the data group of the condition A, and the management system 106 stores the second data in the data transmission apparatus 102. A transmission request for the rotational speed n of the outdoor fan 4 is made. In response to this transmission request, the data transmission apparatus 102 transmits second data that is an operation amount to the management system 106. Here, it is assumed that the rotational speed n of the outdoor blower 4 transmitted to the management system 106 is n = 60.0. In the management system 106, the acquired second data is compared with a second target range that is a numerical range of the past second data, and the acquired second data is determined to be in the second target range. The As a result, it is detected that the second data is a normal value, and the abnormality detection process in this phase ends.

Consider a case in which first data, for example, T1 = −35.5 ° C., which is a controlled variable that satisfies the condition A, is transmitted from the data transmitting apparatus 102. In this case, as in the case of phase P3 in FIG. 9, the management system 106 classifies the first data into the data group of the condition A, and the management system 106 stores the second data in the data transmission apparatus 102. A transmission request for the rotational speed n of the outdoor fan 4 is made. In response to this transmission request, the data transmission apparatus 102 transmits second data that is an operation amount to the management system 106. Here, it is assumed that the rotational speed n of the outdoor fan 4 transmitted to the management system 106 is n = 65.0. In the management system 106, the acquired second data is compared with the second target range, and it is determined that the acquired second data is not within the second target range. As a result, it is detected that the second data is abnormal, and the abnormality detection process in this phase ends.

(Example 3)
In the air conditioner 101 during the heating operation, the opening degree D of the expansion valve 14a is controlled so that the indoor supercooling degree T2 falls within a predetermined numerical range. In the control system of the air conditioner 101 according to the third embodiment, the indoor supercooling degree T2 is a control amount, and the opening degree D of the expansion valve 14a is an operation amount. In the third embodiment, the first data is the indoor supercooling degree T2 that is the control amount, and the second data is the opening degree D of the expansion valve 14a that is the operation amount. Here, the opening degree D of the expansion valve 14a is defined as a fully opened opening degree 1 and a fully closed opening degree 0, and a possible range of the opening degree D is 0 ≦ D ≦ 1. The indoor supercooling degree T2 is calculated, for example, as a value obtained by subtracting the detected temperature of the temperature sensor 208a from the saturation temperature at the discharge pressure detected by the pressure sensor 201.

When the performance of the expansion valve 14a is normal, the opening degree D of the expansion valve 14a, which is the manipulated variable, is controlled within a predetermined numerical range so that the indoor supercooling degree T2, which is the controlled variable, falls within a predetermined numerical range. . Therefore, when there is an abnormality in the expansion valve 14a, for example, when the expansion valve 14a is clogged, the opening degree D of the expansion valve 14a is set so that the indoor supercooling degree T2 falls within a predetermined numerical range. Control is performed to be larger than a predetermined numerical range.

In the condition A that is an index data group serving as an index of abnormality detection in Example 2, that is, the first target range, the indoor supercooling degree T2 is set to 5 ° C. <T2 ≦ 6 ° C. The conditions B and C, which are other data groups, are such that the indoor supercooling degree T2 is 6 ° C. <T2 ≦ 7 ° C. and 5 ° C. <T ≦ 6 ° C., respectively.

In addition, the past second data in the third embodiment, that is, the second target range that is the numerical range of the past opening degree D of the expansion valve 14a is 0.40 <D ≦ 0.60. .

Consider a case in which first data, for example, T2 = 6.5 ° C., 5.1 ° C., which is a control amount that does not satisfy the condition A, is transmitted from the data transmitting apparatus 102. In this case, as in the case of phase P1 in FIG. 9, the management system 106 classifies these first data into data groups of conditions B and C. On the other hand, since the management system 106 does not perform any action on the data transmission apparatus 102, the abnormality detection process in this phase ends.

Consider a case where first data, for example, T2 = 5.1 ° C., which is a controlled variable that satisfies the condition A, is transmitted from the data transmitting apparatus 102. In this case, as in the case of the phase P2 in FIG. 9, the management system 106 classifies the first data into the data group of the condition A, and the management system 106 stores the second data in the data transmission apparatus 102. A transmission request for the opening degree D of the expansion valve 14a is made. In response to this transmission request, the data transmission apparatus 102 transmits second data that is an operation amount to the management system 106. Here, it is assumed that the opening degree D of the expansion valve 14a transmitted to the management system 106 is D = 0.42. In the management system 106, the acquired second data is compared with the second target range, and it is determined that the acquired second data is in the second target range. As a result, it is detected that the second data is a normal value, and the abnormality detection process in this phase ends.

Consider a case where first data, for example, T2 = 5.5 ° C., which is a controlled variable that satisfies the condition A, is transmitted from the data transmitting apparatus 102. In this case, as in the case of phase P3 in FIG. 9, the management system 106 classifies the first data into the data group of the condition A, and the management system 106 stores the second data in the data transmission apparatus 102. A transmission request for the opening degree D of the expansion valve 14a is made. In response to this transmission request, the data transmission apparatus 102 transmits second data that is an operation amount to the management system 106. Here, it is assumed that the opening degree D of the expansion valve 14a transmitted to the management system 106 is D = 0.65. In the management system 106, the acquired second data is compared with a second target range that is a numerical range of the past second data, and it is determined that the acquired second data is not within the second target range. The As a result, it is detected that the second data is abnormal, and the abnormality detection process in this phase ends.

As described above, the data acquisition system according to the first embodiment is connected to the air conditioner 101 including the compressor 1 and the

expansion valves

14a and 14b, and a part of parameters measured in the air conditioner 101. Is acquired from the air conditioner 101, and when the first data is in the target range, the second data that is another part of the parameter measured in the air conditioner 101 is The monitoring apparatus 104 acquired from the air conditioning apparatus 101 is provided.

Moreover, the data acquisition method according to the first embodiment is a data acquisition method of a data acquisition system that acquires parameters measured in the air conditioner 101 including the compressor 1 and the

expansion valves

14a and 14b. The step of acquiring from the air conditioner 101 the first data that is part of the parameters measured in the air conditioner 101, and the first data is measured in the air conditioner 101 when it is within the target range. Obtaining second data that is another part of the parameter from the air conditioner 101.

According to the above-described configuration, a part of parameters measured in the refrigeration cycle apparatus can be acquired, so that the capacity shortage of the data storage device 105 can be solved.

In addition, the data acquisition system according to the first embodiment can be connected to the air conditioning apparatus 101 via the communication network 103. Since the data acquisition system according to Embodiment 1 can be configured to acquire some of the parameters measured in the air conditioning apparatus 101, an increase in communication capacity of the communication network 103 can be eliminated. In addition, since the data acquisition system can be configured as a remote monitoring server by connecting the data acquisition system via the communication network 103, a data acquisition system capable of simultaneously managing data of a large number of air conditioners 101 can be constructed.

In the data acquisition system according to the first embodiment, the first data and the second data can be configured to include an environmental parameter in the air conditioner 101 or an operating condition parameter of the air conditioner 101. . Specifically, the environmental parameters can be configured to include pressure parameters or temperature parameters. Also, the temperature parameter can be configured to include one or more of a condensation temperature, an evaporation temperature, or a degree of supercooling. Moreover, the parameter of an operation state can be comprised so that the operating frequency of the compressor 1 or the opening degree of the

expansion valves

14a and 14b may be included. In addition, the data acquisition system according to the first embodiment can be used in an air conditioner 101 including an air-cooled heat source side heat exchanger and an outdoor fan 4 that supplies air to the air-cooled heat source side heat exchanger. The operation state parameter can be configured to include the rotational speed of the outdoor fan 4.

In the first embodiment, for example, environmental parameters or operating condition parameters can be acquired as data for abnormality detection in the air conditioner 101. The acquired environmental parameters or operating condition parameters can be stored in the data storage device 105, and the data stored in the data storage device 105 can be stored, for example, at the time of maintenance inspection or periodic inspection of the air conditioning apparatus 101. As shown in the graph of FIG. A maintenance inspector or periodic inspector of the air conditioner 101 can detect an abnormality from the data transition of the output graph. Specifically, the performance degradation of the compressor 1 can be detected from the data transition of the operating frequency of the compressor 1. Further, the clogging of the

expansion valves

14a and 14b can be detected from the data transition of the opening degree of the

expansion valves

14a and 14b. Moreover, the performance fall of the outdoor air blower 4 can be detected from the data transition of the rotation speed of the outdoor air blower 4.

In the data acquisition system and data acquisition method according to the first embodiment, the data acquisition system is an example of the management system 106, the

expansion valves

14a and 14b are examples of the decompression device, and the air conditioning apparatus 101. Is an example of a refrigeration cycle device, and the monitoring device 104 is an example of a control device. The air-cooled heat source side heat exchanger is an example of the outdoor heat exchanger 3, and the outdoor blower 4 is also referred to as a heat source side blower fan.

The abnormality detection system according to the first embodiment is connected to an air conditioner 101 including the compressor 1 and

expansion valves

14a and 14b, and is first data that is part of parameters measured in the air conditioner 101. Is obtained from the air conditioner 101, and when the first data is in the first target range, the second data, which is another part of the parameter measured in the air conditioner 101, is obtained. And a monitoring device 104 that detects that the air-conditioning apparatus 101 is abnormal when the second data is not within the second target range.

The abnormality detection method according to the first embodiment is an abnormality detection method for an abnormality detection system that detects an abnormality of the air conditioner 101 including the compressor 1 and the

expansion valves

14a and 14b. The first data that is part of the parameters measured in 101 is acquired from the air conditioner 101, and is measured in the air conditioner 101 when the first data is in the first target range. When the second data, which is another part of the parameter, is acquired from the air conditioner 101, and when the second data is not within the second target range, it is detected that the air conditioner 101 is abnormal. Process.

According to the above-described configuration, an abnormality of the air conditioner 101 can be detected with a small amount of data that can be acquired from the air conditioner 101. Therefore, according to the first embodiment, the amount of data used for abnormality detection can be greatly reduced, so that the capacity shortage of the data storage device 105 can be solved. Moreover, according to these structures, the energy consumption consumed by the abnormality detection system for abnormality detection can be reduced.

Moreover, the abnormality detection system according to the first embodiment can be connected to the air conditioning apparatus 101 via the communication network 103. Since the abnormality detection system according to Embodiment 1 can be configured to acquire some of the parameters measured in the air conditioning apparatus 101, an increase in communication capacity of the communication network 103 can be eliminated. Further, since the abnormality detection system can be configured as a remote monitoring server by connecting the abnormality detection system via the communication network 103, an abnormality detection system capable of simultaneously managing data of a large number of air conditioners 101 can be constructed.

The abnormality detection system according to the first embodiment further includes a data storage device 105 that stores second data acquired from the air conditioning apparatus 101 as third data, and the monitoring device 104 includes the data storage device 105. Can be configured to determine the second target range from the third data stored in. According to this configuration, it is possible to detect abnormality including refrigerant leakage by comparing a small amount of data in time series, so that it is possible to improve the safety and environmental conservation of the product and reduce the environmental load. can do.

In the abnormality detection system according to the first embodiment, the first data includes a control amount in the air conditioner 101, the first target range is a control amount target value, and the second data is a target amount. The value includes the operation amount for adjusting the first data, and the second target range can be configured to be a normal operation amount used for adjusting the first data to the target value. Specifically, in the abnormality detection system according to the first embodiment, the control amount includes the condensation temperature, the operation amount includes the operating frequency of the compressor 1, and the abnormality of the air conditioner 101 is the compressor. 1 performance degradation can be included. Further, in the abnormality detection system according to the first embodiment, the control amount includes the degree of supercooling, the operation amount includes the opening degree of the

expansion valves

14a and 14b, and the abnormality of the air conditioner 101 is the expansion valve. 14a and 14b can be included. Moreover, the abnormality detection system according to the first embodiment can be used in an air conditioner 101 including an air-cooling heat source side heat exchanger and an outdoor fan 4 that supplies air to the air-cooling heat source side heat exchanger. The control amount includes the evaporation temperature, the operation amount includes the rotation speed of the outdoor blower 4, and the abnormality of the air conditioner 101 can be configured to include the performance deterioration of the outdoor blower 4.

In the first embodiment, it is possible to detect an abnormality of the actuator of the air conditioner 101 by paying attention to a part of the control system of the air conditioner 101. For example, the abnormality detection system monitors the operating frequency of the compressor 1 when the condensation temperature is controlled within a predetermined temperature range, and when the operating frequency of the compressor 1 is not within the predetermined operating frequency range, the compressor 1 can be configured to detect performance degradation. The abnormality detection system monitors the opening degree of the

expansion valves

14a and 14b when the degree of supercooling is controlled within a predetermined temperature range, and the opening degree of the

expansion valves

14a and 14b is not within the predetermined opening degree range. In this case, it can be configured to detect clogging of the

expansion valves

14a and 14b. The abnormality detection system monitors the rotational speed of the outdoor blower 4 when the evaporation temperature is controlled within a predetermined temperature range, and when the rotational speed of the outdoor blower 4 is not within the predetermined rotational speed range, the outdoor blower 4 can be configured to detect performance degradation.

In the abnormality detection system and abnormality detection method according to the first embodiment, abnormality detection is an example of the management system 106, the

expansion valves

14a and 14b are examples of a decompression device, and the air conditioner 101 is The refrigeration cycle device is an example, and the monitoring device 104 is an example of a control device. The air-cooled heat source side heat exchanger is an example of the outdoor heat exchanger 3, and the outdoor blower 4 is also referred to as a heat source side blower fan.

The air-conditioning apparatus 101 according to Embodiment 1 includes a refrigeration cycle circuit including the compressor 1 and

expansion valves

14a and 14b, and first data that is part of parameters measured in the refrigeration cycle circuit. A control unit 107 that acquires from the refrigeration cycle circuit second data that is another part of the parameters measured in the refrigeration cycle circuit when the first data is in the first target range acquired from the circuit; Is provided. According to this structure, the air conditioning apparatus 101 provided with the control part 107 which can perform the control processing equivalent to the abnormality detection system which concerns on this Embodiment 1 can be provided.

Moreover, in the air conditioning apparatus 101 according to the first embodiment, the control unit 107 can be configured to detect that the refrigeration cycle circuit is abnormal when the second data is not in the second target range. . According to this structure, the air conditioning apparatus 101 provided with the control part 107 which can perform the control processing equivalent to the abnormality detection system which concerns on this Embodiment 1 can be provided.

The air conditioning apparatus 101 according to the first embodiment is an example of a refrigeration cycle apparatus, the

expansion valves

14a and 14b are examples of a decompression apparatus, and the control unit 107 is an example of a control apparatus.

Embodiment 2. FIG.
In the first embodiment described above, the case where the air-cooled air conditioner 101 in which the outdoor heat exchanger 3 is an air-cooled heat source side heat exchanger is configured has been described. In Embodiment 2 of the present invention, a case will be described in which a water-cooled air conditioner 101 in which the outdoor heat exchanger 3 is a water-cooled heat source side heat exchanger is configured. For example, the heat source unit 304 of the water-cooled air conditioner 101 includes a water-cooled chiller unit.

FIG. 10 is a refrigerant circuit diagram illustrating an example of a schematic configuration of the air-conditioning apparatus 101 according to the second embodiment. In the air conditioner 101 according to the second embodiment, instead of the air-cooling heat source side heat exchanger and the outdoor fan 4 that are examples of the outdoor heat exchanger 3, a water-cooling type that is another example of the outdoor heat exchanger 3 is used. A heat source side heat exchanger and a water cooling pump 305 connected to the water cooling type heat source side heat exchanger are provided. The water-cooling heat source side heat exchanger and the water-cooling pump 305 are connected by piping to form a water-cooling circuit for circulating water or brine. Moreover, although not shown in figure, the water-cooling circuit is connected to a cooling tower installed outdoors, which cools water or brine by directly or indirectly contacting the air with the atmosphere.

The water-cooled heat source side heat exchanger can be configured such that heat exchange is performed between the refrigerant circulating in the refrigeration cycle circuit and water or brine circulated to the water cooling circuit by the water cooling pump 305. The water-cooled heat source side heat exchanger can be configured as, for example, a shell-and-tube heat exchanger or a double tube coil heat exchanger.

In the water cooling circuit, a temperature sensor that detects the temperature of the cooling water of water or brine flowing through the inlet side of the water cooling type heat source side heat exchanger on the water cooling circuit side of the water cooling type heat source side heat exchanger via a pipe 220 is provided. Further, in the water cooling circuit, the temperature of the cooling water of water or brine flowing on the outlet side of the water cooling type heat source side heat exchanger on the side of the water cooling circuit side is detected via a pipe at the outlet side of the water cooling type heat source side heat exchanger. A temperature sensor 221 is provided. The

temperature sensors

220 and 221 are configured using, for example, a thermistor.

The water cooling pump 305 is a fluid machine that sucks water or brine from the cooling tower and press-fits the sucked water or brine into the water-cooled heat source side heat exchanger. The water cooling pump 305 is configured so that the flow rate of water or brine can be adjusted by electric current. The water-cooled pump 305 is configured by, for example, a DC pump whose capacity can be controlled by the amount of current flowing through the motor.

The amount of current flowing through the motor that drives the water cooling pump 305 is detected by the current sensor 240. The current sensor 240 can be configured using, for example, a Hall element. The current sensor 240 is configured to output a detection signal to the control unit 107.

Other configurations of the air-conditioning apparatus 101 in the second embodiment are the same as those described in the first embodiment.

Next, in the second embodiment, an example of data transmission / reception between the data transmission apparatus 102 and the management system 106 and an abnormality detection in the management system 106 when the management system 106 is configured as an abnormality detection system will be described. To do.

In the following example, the first data, the second data, the condition A that is an index data group serving as an abnormality detection index, and other data groups described in the control process of FIG. 7 of the first embodiment described above. A specific condition B and C and a numerical range of the past second data are specifically specified. Note that, as described in the control process of FIG. 7, the condition A corresponds to the first target range, and the condition B and the condition C are a data group outside the first target range. The numerical range of the past second data corresponds to the second target range determined from the third data stored in the storage device 140.

In the following example, the first data corresponds to the control amount in the air conditioner 101. The first target range corresponds to a control value target value in the air-conditioning apparatus 101. The second data corresponds to the operation amount for adjusting the first data to the target value of the control amount in the air conditioning apparatus 101. The second target range is a normal operation amount that is used to adjust the first data to the target value of the control amount in the air conditioner 101.

In the air conditioner 101 during cooling operation, the current value I of the motor that drives the water cooling pump 305 is the inlet / outlet temperature of the water cooling heat source side heat exchanger, that is, the inlet of the water cooling circuit side of the water cooling heat source side heat exchanger. And the temperature difference ΔT3 between the outlet and the outlet is controlled to be within a predetermined numerical range. That is, in the example of the control system of the air conditioner 101 of the second embodiment, the temperature difference ΔT3 between the inlet and outlet on the water cooling circuit side of the water-cooled heat source side heat exchanger becomes the control amount, and the motor Current value I becomes the manipulated variable. In the second embodiment, the first data is the temperature difference ΔT3 between the inlet and outlet on the water cooling circuit side of the water-cooled heat source side heat exchanger, which is the controlled variable, and the second data is the manipulated variable. The current value I of a certain motor is assumed. The temperature difference ΔT3 between the inlet and outlet on the water cooling circuit side of the water cooling heat source side heat exchanger is calculated as, for example, the difference between the temperature detected by the temperature sensor 220 and the temperature detected by the temperature sensor 221. Is done. The motor current value I is detected by a current sensor 240. Hereinafter, the “temperature difference ΔT3 between the inlet and outlet on the water cooling circuit side of the water-cooled heat source side heat exchanger” is referred to as “temperature difference ΔT3”.

When the performance of the water-cooled pump 305 is normal, the current value I of the motor, which is the operation amount, is controlled within the predetermined numerical range so that the temperature difference ΔT3 that is the control amount falls within the predetermined numerical range. Therefore, when there is an abnormality in the water cooling pump 305, for example, when the water cooling circuit is clogged, the current value I of the motor is less than the predetermined numerical range so that the temperature difference ΔT3 is in the predetermined numerical range. Is also controlled to be larger.

The condition A that is an index data group serving as an abnormality detection index in the second embodiment, that is, the first target range, is such that the temperature difference ΔT3 is 5.0 ° C. <ΔT3 ≦ 7.0 ° C. In addition, conditions B and C, which are other data groups, are such that the temperature difference ΔT3 is 7.0 ° C. <ΔT3 ≦ 9.0 ° C. and 3.0 ° C. <ΔT3 ≦ 5.0 ° C., respectively.

In addition, the past second data in the second embodiment, that is, the second target range that is the numerical range of the past motor current value I is 0.5A <I ≦ 1.0A. .

Consider a case in which first data, for example, ΔT3 = 8.0 ° C., 4.3 ° C., which is a control amount that does not satisfy the condition A, is transmitted from the data transmission apparatus 102. In this case, as in the case of phase P1 in FIG. 9 in the first embodiment, the management system 106 classifies these first data into data groups of conditions B and C. On the other hand, since the management system 106 does not perform any action on the data transmission apparatus 102, the abnormality detection process in this phase ends.

Consider a case where first data, for example, ΔT3 = 6.0 ° C., which is a control amount satisfying the condition A is transmitted from the data transmission apparatus 102. In this case, as in the case of phase P2 in FIG. 9 in the first embodiment, the management system 106 classifies the first data into the data group of the condition A, and the management system 106 The transmission request for the current value I of the motor which is the second data is made. In response to this transmission request, the data transmission apparatus 102 transmits second data that is an operation amount to the management system 106. Here, it is assumed that the current value I of the motor transmitted to the management system 106 is I = 0.8A. In the management system 106, the acquired second data is compared with a second target range that is a numerical range of the past second data, and the acquired second data is determined to be in the second target range. The As a result, it is detected that the second data is a normal value, and the abnormality detection process in this phase ends.

Consider a case where first data, for example, ΔT3 = 6.5 ° C., which is a control amount satisfying the condition A is transmitted from the data transmitting apparatus 102. In this case, as in the case of phase P3 in FIG. 9, the management system 106 classifies the first data into the data group of the condition A, and the management system 106 stores the second data in the data transmission apparatus 102. A transmission request for the current value I of the motor is made. In response to this transmission request, the data transmission apparatus 102 transmits second data that is an operation amount to the management system 106. Here, it is assumed that the motor current value I transmitted to the management system 106 is I = 1.5A. In the management system 106, the acquired second data is compared with the second target range, and it is determined that the acquired second data is not within the second target range. As a result, it is detected that the second data is abnormal, and the abnormality detection process in this phase ends.

When the management system 106 is configured as a data acquisition system, the motor current value I or the temperature difference ΔT3 can be acquired as data for abnormality detection in the water-cooled pump 305 by the same method.

As described above, the data acquisition system according to the second embodiment includes the water-cooled heat source side heat exchanger and the water cooling pump 305 connected to the water-cooled heat source side heat exchanger, and the water-cooled heat source side heat exchange. And the water cooling pump 305 can be used in the air conditioner 101 constituting the water cooling circuit for circulating water or brine, and the temperature parameters are the inlet and outlet on the water cooling circuit side of the water-cooled heat source side heat exchanger. And the operating condition parameter can be configured to include a measurement of the current that drives the water cooled pump 305.

According to this configuration, the data acquisition system according to the second embodiment can acquire the motor current value I or the temperature difference ΔT3 as data for detecting an abnormality in the water cooling pump 305, for example. The acquired motor current value I or temperature difference ΔT3 can be stored in the data storage device 105, and the data stored in the data storage device 105 can be used, for example, at the time of maintenance inspection or periodic inspection of the air conditioning apparatus 101. As shown in the graph of FIG. A maintenance inspector or periodic inspector of the air conditioner 101 can detect an abnormality from the data transition of the output graph. That is, the clogging of the water cooling circuit can be detected from the data transition of the motor current value I.

The abnormality detection system according to the second embodiment includes a water-cooled heat source side heat exchanger and a water cooling pump 305 connected to the water-cooled heat source side heat exchanger, and includes the water-cooled heat source side heat exchanger and the water-cooling system. The pump 305 can be used in the air conditioner 101 that constitutes a water cooling circuit that circulates water or brine, and the control amount is between the inlet and outlet of the water cooling circuit side of the water-cooled heat source side heat exchanger. The operation amount includes the temperature difference, the measured value of the current that drives the water cooling pump 305, and the abnormality of the air conditioner 101 can be configured to include clogging of the water cooling circuit.

According to this configuration, even if the air conditioner 101 is water-cooled, an abnormality peculiar to the water-cooled air conditioner 101 can be detected using the abnormality detection system.

In the data acquisition system and the abnormality detection system according to the second embodiment, the data acquisition system and the abnormality detection system are examples of the management system 106, the air conditioner 101 is an example of the refrigeration cycle apparatus, The water-cooled heat source side heat exchanger is an example of the outdoor heat exchanger 3.

Embodiment 3 FIG.
In the first embodiment and the second embodiment described above, the management system 106 that acquires, as the second data, a parameter indicating the operation state of the equipment that constitutes the air conditioner 101, that is, the actuator, has been described with a specific example. In the third embodiment of the present invention, a management system 106 that acquires a parameter indicating a temperature state as second data will be described together with a specific example.

Hereinafter, an example of data transmission / reception between the data transmission apparatus 102 and the management system 106 and an abnormality detection in the management system 106 when the management system 106 according to the third embodiment is configured as an abnormality detection system will be described. .

In the following example, the first data, the second data, the condition A that is an index data group serving as an abnormality detection index, and other data groups described in the control process of FIG. 7 of the first embodiment described above. A specific condition B and C and a numerical range of the past second data are specifically specified. As described in the above control process, the condition A corresponds to the first target range, and the condition B and the condition C are a data group outside the first target range. The numerical range of the past second data corresponds to the second target range determined from the third data stored in the storage device 140.

In the air conditioner 101, the entire system of the air conditioner 101 is controlled such that when the condensation temperature T4 falls within a certain temperature range, the degree of supercooling T5 falls within a certain temperature range. In the third embodiment, the first data is the condensation temperature T4, and the second data is the supercooling degree T5. The condensation temperature T4 is calculated as a saturation temperature at the discharge pressure detected by the pressure sensor 201, for example. The degree of supercooling T5 is calculated, for example, as a value obtained by subtracting the temperature detected by the temperature sensor 207 from the saturation temperature at the discharge pressure detected by the pressure sensor 201 during the cooling operation. In the heating operation, the degree of supercooling T5 is calculated, for example, as a value obtained by subtracting the temperature detected by the temperature sensor 208a or the temperature sensor 208b from the saturation temperature at the discharge pressure detected by the pressure sensor 201.

When there is no refrigerant leakage from the air conditioning apparatus 101, when the condensation temperature T4 is within a certain range, the degree of supercooling T5 is within a certain range. On the other hand, when there is a refrigerant leak from the air conditioner 101, the degree of supercooling T5 increases beyond a certain range due to a lack of refrigerant.

In the condition A that is an index data group serving as an abnormality detection index in the third embodiment, that is, the first target range, the condensation temperature T4 is 34 ° C. <T ≦ 36 ° C. In addition, conditions B and C which are other data groups are such that the condensation temperature T4 is 36 ° C. <T ≦ 38 ° C. and 32 ° C. <T ≦ 34 ° C., respectively.

Further, the second past data in the third embodiment, that is, the second target range which is the numerical range of the past supercooling degree T5 is set to 5 ° C. <T4 ≦ 6 ° C.

Consider a case where first data that does not satisfy the condition A, for example, T4 = 37.5 ° C., 33.5 ° C. is transmitted from the data transmitting apparatus 102. In this case, as in the case of phase P1 in FIG. 9 in the first embodiment, the management system 106 classifies these first data into data groups of conditions B and C. On the other hand, since the management system 106 does not perform any action on the data transmission apparatus 102, the abnormality detection process in this phase ends.

Consider a case where first data satisfying the condition A, for example, T4 = 35.0 ° C. is transmitted from the data transmitting apparatus 102. In this case, as in the case of phase P2 in FIG. 9 in the first embodiment, the management system 106 classifies the first data into the data group of the condition A, and the management system 106 A transmission request for the degree of supercooling T5, which is the second data, is made. In response to this transmission request, the data transmitting apparatus 102 transmits the second data to the management system 106. Here, it is assumed that the degree of supercooling T5 transmitted to the management system 106 is T5 = 5.5 ° C. In the management system 106, the acquired second data is compared with a second target range that is a numerical range of the past second data, and the acquired second data is determined to be in the second target range. The As a result, it is detected that the second data is a normal value, and the abnormality detection process in this phase ends.

Consider a case where first data satisfying the condition A, for example, T4 = 35.0 ° C. is transmitted from the data transmitting apparatus 102. In this case, as in the case of phase P3 in FIG. 9, the management system 106 classifies the first data into the data group of the condition A, and the management system 106 stores the second data in the data transmission apparatus 102. A transmission request for the degree of supercooling T5 is made. In response to this transmission request, the data transmitting apparatus 102 transmits the second data to the management system 106. Here, it is assumed that the degree of supercooling T5 transmitted to the management system 106 is T5 = 7.0 ° C. In the management system 106, the acquired second data is compared with the second target range, and it is determined that the acquired second data is not within the second target range. As a result, it is detected that the second data is abnormal, and the abnormality detection process in this phase ends.

As described above, in the abnormality detection system according to the third embodiment, the first data includes the condensation temperature, and the first target range is the allowable range of the condensation temperature in the air conditioner 101. The data of 2 includes the degree of supercooling, and the second target range can be configured to be an allowable range of the degree of supercooling at the condensing temperature, and the refrigerant leaks from the air conditioner 101 as an abnormality of the air conditioner 101. Can be configured to be detected.

According to this configuration, the refrigerant leakage from the air conditioner 101 can be detected from the degree of supercooling when the condensation temperature is in a certain range, so that the amount of data acquired from the air conditioner 101 is reduced. In addition, the refrigerant leakage from the air conditioner 101 can be detected.

Further, when the management system 106 is configured as a data acquisition system, the condensation temperature T4 or the degree of supercooling T5 can be acquired as data for detecting refrigerant leakage from the air conditioner 101 in the same manner.

In the data acquisition system and the abnormality detection system according to the third embodiment, the data acquisition system and the abnormality detection system are examples of the management system 106, and the air conditioner 101 is an example of a refrigeration cycle apparatus.

Embodiment 4 FIG.
In the fourth embodiment of the present invention, determination processing of a numerical range, for example, a division width, for classifying the first data into a plurality of data groups in the management system 106 according to the first to third embodiments will be described. . FIG. 11 is a flowchart illustrating an example of a numerical range determination process for classifying the first data into a plurality of data groups in the management system 106 according to the fourth embodiment. The process shown in FIG. 11 may be performed only once when the process of step S2 of FIG. 5 is performed. In order to determine an optimal numerical range, the process is periodically performed, for example, once a year. You may make it carry out.

Step S21 in FIG. 11 is a step of acquiring the first data from the air conditioning apparatus 101, and is the same processing as Step S1 in FIG. 5 and Step S11 in FIG. 7 according to the first embodiment described above.

Step S22 is a step of classifying the first data transmitted to the management system 106 into a plurality of data groups, and the same processing as step S2 in FIG. 5 and step S12 in FIG. 7 according to the first embodiment described above. It is.

Step S23 is a step of selecting an index data group that is a target range from a plurality of stored data groups, and is the same as step S3 in FIG. 5 and step S13 in FIG. 7 according to the first embodiment described above. It is processing of.

In step S24, the control unit 121 of the monitoring device 104 in the management system 106 calculates the variation, that is, the variance of the index data group when classified in the current numerical range. The variation of the index data group can be, for example, the standard deviation or standard error of the index data group. The control unit 121 of the monitoring device 104 may cause the calculation unit 120 to calculate the variation of the index data.

In step S25, the control unit 121 of the monitoring device 104 determines whether or not the variation of the index data calculated in step S24 is smaller than the reference value of the variation. The reference value of variation is arbitrarily determined according to the attribute of the first data. For example, when the first data is the condensation temperature T of Example 1 of the first embodiment described above and the variation of the index data is the standard deviation of the index data group, the variation reference value is set to 35 ± 0.5. It is good also as ° C.

When it is determined in step S25 that the variation in the index data is equal to or greater than the variation reference value, in step S26, the control unit 121 of the monitoring device 104 sets the numerical ranges of the plurality of data groups so that the numerical ranges are reduced. To change. The change of the numerical value range can be performed with a predetermined width. For example, when the first data is the condensation temperature T of Example 1 of Embodiment 1 described above, the upper limit value and lower limit value of the numerical range may be changed by 0.05 ° C. to reduce the numerical range. it can. Thereafter, in step S22, the process of classifying the first data transmitted to the management system 106 into a plurality of data groups for each changed numerical range is performed again. In step S25, the index data calculated in step S24 is performed. Steps S22 to S26 are repeatedly performed until it is determined that the variation is smaller than the variation reference value.

If it is determined in step S25 that the variation in the index data calculated in step S24 is smaller than the variation reference value, a numerical range for classifying the first data into a plurality of data groups is determined in step S27. The numerical range is determined.

According to the fourth embodiment, by performing such a determination process, it is possible to dynamically determine the optimum numerical range according to the attribute of the first data, and therefore all data that can be acquired from the refrigeration cycle apparatus. It is possible to detect an abnormality in the refrigeration cycle apparatus with a small amount of data selected from the above.

Other embodiments.
The present invention is not limited to the above embodiment, and various modifications can be made. For example, in the above embodiment, an Internet line is used as an example of the communication network 103, but a LAN or WAN may be used as the communication network 103.

In the second embodiment described above, the numerical value range is changed according to the variation of the index data, for example, the standard deviation, and the optimal numerical value range is determined. That is, the optimum numerical range may be determined by changing the frequency according to the occurrence frequency.

In the above embodiment, the air conditioner 101 is exemplified as the refrigeration cycle apparatus. However, the present invention can be applied to other refrigeration cycle apparatuses such as a hot water supply apparatus, a refrigerator, a refrigerator, and a vending machine.

1 compressor, 2-way valve, 3 outdoor heat exchanger, 4 outdoor blower, 11 supercooling heat exchanger, 14a, 14b expansion valve, 15a, 15b indoor heat exchanger, 19 accumulator, 20 bypass depressurization mechanism, 21 bypass circuit 27 liquid piping, 28 gas piping, 101 air conditioning device, 102 data transmission device, 103 communication network, 104 monitoring device, 105 data storage device, 106 management system, 107 control unit, 108 properties, 120 calculation unit, 121 control unit , 122 communication unit, 123 display unit, 140 storage device, 141 communication unit, 142 storage unit, 201, 211 pressure sensor, 202, 203, 204, 207, 208a, 208b, 209a, 209b, 210a, 210b, 212, 213 214, 220, 2 First temperature sensor, 240 current sensor, 303a, 303b utilization unit, 304 heat source unit, 305 water cooling pumps.

Claims

Connected to a refrigeration cycle apparatus comprising a compressor and a decompressor,
Obtaining first data that is part of parameters measured in the refrigeration cycle apparatus from the refrigeration cycle apparatus;
A controller that acquires, from the refrigeration cycle apparatus, second data that is another part of the parameter measured in the refrigeration cycle apparatus when the first data is in a target range;
Data acquisition system.
Connected to the refrigeration cycle apparatus via a communication network,
The data acquisition system according to claim 1.
The first data and the second data include environmental parameters in the refrigeration cycle apparatus or operating state parameters of the refrigeration cycle apparatus,
The data acquisition system according to claim 1 or 2.
The environmental parameters include pressure parameters or temperature parameters.
The data acquisition system according to claim 3.
The temperature parameter includes one or more of a condensation temperature, an evaporation temperature, or a degree of supercooling.
The data acquisition system according to claim 4.
The operating state parameter includes the operating frequency of the compressor or the opening of the decompression device,
The data acquisition system according to claim 4.
The refrigeration cycle apparatus further includes an air-cooled heat source side heat exchanger, and a heat source side blower fan that supplies air to the air-cooled heat source side heat exchanger,
The parameter of the operation state includes the number of rotations of the heat source side blower fan,
The data acquisition system according to claim 4.
The refrigeration cycle apparatus further includes a water-cooled heat source side heat exchanger and a water-cooled pump connected to the water-cooled heat source side heat exchanger,
The water-cooled heat source side heat exchanger and the water cooling pump constitute a water cooling circuit for circulating water or brine,
The temperature parameter includes a temperature difference between an inlet and an outlet on the water cooling circuit side of the water-cooled heat source side heat exchanger,
The operating state parameter includes a measured value of a current for driving the water-cooled pump.
The data acquisition system according to claim 4.
Connected to a refrigeration cycle apparatus comprising a compressor and a decompressor,
Obtaining first data that is part of parameters measured in the refrigeration cycle apparatus from the refrigeration cycle apparatus;
When the first data is in the first target range, second data that is another part of the parameter measured in the refrigeration cycle apparatus is acquired from the refrigeration cycle apparatus,
A control device that detects that the refrigeration cycle apparatus is abnormal when the second data is not in the second target range;
Anomaly detection system.
Connected to the refrigeration cycle apparatus via a communication network,
The abnormality detection system according to claim 9.
A data storage device for storing the second data acquired from the refrigeration cycle device as third data;
The control device determines the second target range from the third data stored in the data storage device.
The abnormality detection system according to claim 9 or 10.
The first data includes a condensation temperature;
The first target range is an allowable range of the condensation temperature in the refrigeration cycle apparatus,
The second data includes a degree of supercooling,
The second target range is an allowable range of the degree of supercooling at the condensation temperature,
The abnormality of the refrigeration cycle apparatus includes refrigerant leakage from the refrigeration cycle apparatus,
The abnormality detection system according to claim 9 or 10.
The first data includes a control amount in the refrigeration cycle apparatus,
The first target range is a target value of the control amount,
The second data includes an operation amount for adjusting the first data to the target value,
The second target range is a normal operation amount used to adjust the first data to the target value.
The abnormality detection system according to claim 9 or 10.
The controlled variable includes a condensation temperature,
The operation amount includes an operating frequency of the compressor,
The abnormality of the refrigeration cycle apparatus includes a decrease in performance of the compressor.
The abnormality detection system according to claim 13.
The control amount includes the degree of supercooling,
The manipulated variable includes the opening of the decompression device,
The abnormality of the refrigeration cycle device includes clogging of the decompression device,
The abnormality detection system according to claim 13.
The refrigeration cycle apparatus further includes an air-cooled heat source side heat exchanger, and a heat source side blower fan that supplies air to the air-cooled heat source side heat exchanger,
The control amount includes an evaporation temperature,
The operation amount includes the number of rotations of the heat source side fan.
The abnormality of the refrigeration cycle apparatus includes a decrease in performance of the heat source side fan.
The abnormality detection system according to claim 13.
The refrigeration cycle apparatus further includes a water-cooled heat source side heat exchanger and a water-cooled pump connected to the water-cooled heat source side heat exchanger,
The water-cooled heat source side heat exchanger and the water cooling pump constitute a water cooling circuit for circulating water or brine,
The control amount includes a temperature difference between an inlet and an outlet on the water cooling circuit side of the water-cooled heat source side heat exchanger,
The manipulated variable includes a measured value of a current that drives the water-cooled pump,
The abnormality of the refrigeration cycle apparatus includes clogging of the water cooling circuit,
The abnormality detection system according to claim 13.
A refrigeration cycle circuit comprising a compressor and a decompression device;
First data, which is a part of parameters measured in the refrigeration cycle circuit, is acquired from the refrigeration cycle circuit, and measured in the refrigeration cycle circuit when the first data is in a first target range. A controller that obtains second data, which is another part of the parameter, from the refrigeration cycle circuit,
Refrigeration cycle equipment.
The control device detects that the refrigeration cycle circuit is abnormal when the second data is not in the second target range.
The refrigeration cycle apparatus according to claim 18.
A data acquisition method of a data acquisition system for acquiring parameters measured in a refrigeration cycle apparatus including a compressor and a decompression device,
Obtaining first data that is part of the parameters measured in the refrigeration cycle apparatus from the refrigeration cycle apparatus;
Obtaining, from the refrigeration cycle apparatus, second data that is another part of the parameters measured in the refrigeration cycle apparatus when the first data is in a target range,
Data acquisition method.
An abnormality detection method of an abnormality detection system for detecting an abnormality in a refrigeration cycle apparatus including a compressor and a decompression device,
Obtaining first data that is part of the parameters measured in the refrigeration cycle apparatus from the refrigeration cycle apparatus;
Acquiring from the refrigeration cycle apparatus second data that is another part of the parameter measured in the refrigeration cycle apparatus when the first data is in a first target range;
Detecting that the refrigeration cycle apparatus is abnormal when the second data is not in the second target range,
Anomaly detection method.