Air conditioning performance presentation system, air conditioning performance presentation method, and server

Abstract

To improve accuracy of capacity of an air conditioner to be presented.SOLUTION: The present disclosure is an air conditioning capacity presentation system that presents a capacity of an air conditioner, the air conditioning capacity presentation system including a control unit 70, wherein the control unit acquires power consumption of an outdoor unit, an outdoor temperature that is a temperature of air around the outdoor unit, and information from which a refrigerant type of the air conditioner can be identified, and calculates the capacity of the air conditioner on the basis of the power consumption, the outdoor temperature, and the information from which the refrigerant type can be identified.SELECTED DRAWING: Figure 4

Description

[Technical Field]

[0001] The present invention relates to an air conditioning capacity presentation system, an air conditioning capacity presentation method, and a server. [Background technology]

[0002] In many cases, existing air conditioners installed in buildings have capacities greater than those actually required, resulting in unnecessary power consumption. To address this issue, a technology is known that suggests upgrading to air conditioners with appropriate capacities.

[0003] Patent Document 1 discloses a technology in which one of a plurality of capacity calculation models is selected based on the rated capacity, and the capacity of an air conditioner is calculated using the selected model based on the rated capacity, power consumption, and outside temperature. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] Patent No. 6816838 Summary of the Invention [Problem to be solved by the invention]

[0005] However, with conventional technology, there is a risk of a decrease in the accuracy of the presented air conditioner capacity. For example, even if the rated capacity, power consumption, and outdoor temperature are the same, if the air conditioner performance characteristics differ, the air conditioning capacity will also differ accordingly.

[0006] The present disclosure provides a technique for improving the accuracy of the presented air conditioner capacity. [Means for solving the problem]

[0007] A first aspect of the present disclosure is An air conditioning capacity display system that displays the capacity of an air conditioner, A control unit is provided. The control unit Acquire information that can identify the power consumption of an outdoor unit of an air conditioner, the outdoor air temperature that is the temperature of the air around the outdoor unit, and the type of refrigerant of the air conditioner; The capacity of the air conditioner is calculated based on the power consumption, the outside temperature, and information that can identify the type of refrigerant.

[0008] According to the first aspect of the present disclosure, it is possible to improve the accuracy of the presented air conditioner capacity.

[0009] A second aspect of the present disclosure is an air conditioning capability presentation system according to the first aspect, comprising: the control unit acquires a compressor efficiency that is associated in advance with information that can identify the refrigerant type, The control unit calculates the capacity of the air conditioner based on the power consumption, the outside air temperature, and the compressor efficiency.

[0010] A third aspect of the present disclosure is an air conditioning capability presentation system according to the first aspect, the control unit acquires a pressure loss parameter that is associated in advance with information that can identify the refrigerant type, The control unit calculates the capacity of the air conditioner based on the power consumption, the outside air temperature, information related to the pressure loss of the refrigerant in the refrigerant communication pipe, and the pressure loss parameter.

[0011] A fourth aspect of the present disclosure is the air conditioning capability presentation system according to the first aspect, the control unit acquires a compressor efficiency and a pressure loss parameter that are associated in advance with the information that can identify the refrigerant type, The control unit calculates the capacity of the air conditioner based on the power consumption, the outside air temperature, the compressor efficiency, information related to the pressure loss of the refrigerant in the refrigerant communication pipe, and the pressure loss parameter.

[0012] A fifth aspect of the present disclosure is an air conditioning capability presentation system according to the first aspect, The control unit A model that has learned the correspondence between the power consumption, the outside temperature, the refrigerant type, and the capacity of the air conditioner, The power consumption, the outside temperature, and the refrigerant type thus acquired are input to calculate the capacity of the air conditioner.

[0013] A sixth aspect of the present disclosure is an air conditioning capability presentation system according to the first aspect, the control unit acquires a compressor efficiency that is associated in advance with information that can identify the refrigerant type, A model that has learned the correspondence between the power consumption, the outside temperature, the compressor efficiency, and the capacity of the air conditioner, The power consumption, the outside air temperature, and the compressor efficiency thus acquired are input to calculate the capacity of the air conditioner.

[0014] A seventh aspect of the present disclosure is the air conditioning capability presentation system according to the first aspect, the control unit acquires a pressure loss parameter that is associated in advance with information that can identify the refrigerant type, A model that has learned the correspondence between the power consumption, the outside air temperature, information related to the pressure loss of the refrigerant in the refrigerant connection pipe, and the pressure loss parameter and the capacity of the air conditioner, The capacity of the air conditioner is calculated by inputting the acquired information related to the power consumption, the outside air temperature, the pressure loss of the refrigerant in the refrigerant communication pipe, and the pressure loss parameter.

[0015] An eighth aspect of the present disclosure is the air conditioning capability presentation system according to the first aspect, the control unit acquires a compressor efficiency and a pressure loss parameter that are associated in advance with the information that can identify the refrigerant type, A model that has learned the correspondence between the power consumption, the outside air temperature, the compressor efficiency, information related to the pressure loss of the refrigerant in the refrigerant connection pipe, and the pressure loss parameter and the capacity of the air conditioner, The capacity of the air conditioner is calculated by inputting the acquired information related to the power consumption, the outside air temperature, the compressor efficiency, the pressure loss of the refrigerant in the refrigerant communication pipe, and the pressure loss parameter.

[0016] A ninth aspect of the present disclosure is the air conditioning capability presentation system according to the first aspect, The control unit A model that learns the correspondence between the power consumption, the outside temperature, and the capacity of the air conditioner for each refrigerant type, The power consumption and the outdoor temperature thus acquired are input to calculate the capacity of the air conditioner, One of the models is selected based on the acquired information that can identify the type of refrigerant.

[0017] A tenth aspect of the present disclosure is an air conditioning capability presentation system according to the first aspect, The information that can identify the refrigerant type is At least one of the following is included: the name of the refrigerant of the air conditioner; the chemical formula of the refrigerant of the air conditioner; the physical properties of the refrigerant of the air conditioner; the pipe diameter of the refrigerant connection pipe; the year of manufacture of the air conditioner; the year of sale of the air conditioner; the model name of the outdoor unit; and the model name of the indoor unit of the air conditioner.

[0018] An eleventh aspect of the present disclosure is An air conditioning capacity presentation method in which a control unit presents the capacity of an air conditioner, The control unit Acquire information that can identify the power consumption of an outdoor unit of an air conditioner, the outdoor air temperature that is the temperature of the air around the outdoor unit, and the type of refrigerant of the air conditioner; The capacity of the air conditioner is calculated based on the power consumption, the outside temperature, and information that can identify the type of refrigerant.

[0019] According to the eleventh aspect of the present disclosure, it is possible to improve the accuracy of the presented air conditioner capacity.

[0020] A twelfth aspect of the present disclosure is A server capable of communicating with air conditioners via a network, The server has a control unit, The control unit Acquire information that can identify the power consumption of an outdoor unit of an air conditioner, the outdoor air temperature that is the temperature of the air around the outdoor unit, and the type of refrigerant of the air conditioner; The capacity of the air conditioner is calculated based on the power consumption, the outside temperature, and information that can identify the type of refrigerant.

[0021] According to the twelfth aspect of the present disclosure, it is possible to improve the accuracy of the presented air conditioner capacity. [Brief explanation of the drawings]

[0022] [Figure 1] FIG. 1 is a diagram illustrating an overview of an air conditioning capacity presentation system. [Figure 2] 1 is a diagram illustrating an example of the overall configuration of an air conditioning capacity presentation system. [Figure 3] FIG. 2 illustrates an example of a hardware configuration of a server. [Figure 4] FIG. 2 is a schematic diagram of a control unit that is responsible for calculations in the air conditioning capacity presentation system. [Figure 5] FIG. 1 is a diagram illustrating an example of a list of common refrigerant types. [Figure 6] 4 is a diagram illustrating an example of refrigerant information stored in a refrigerant information storage unit. FIG. [Figure 7] 10 is a flowchart illustrating an example of a process in which an air conditioning capacity calculation unit identifies a compressor efficiency based on a refrigerant type and calculates an air conditioning capacity. FIG. [Figure 8] 10 is a flowchart illustrating an example of a process in which an air conditioning capacity calculation unit identifies a pressure loss parameter based on a refrigerant type and calculates an air conditioning capacity. FIG. [Figure 9] 10 is a flowchart illustrating an example of a process in which an air conditioning capacity calculation unit identifies a compressor efficiency and a pressure loss parameter based on a refrigerant type and calculates an air conditioning capacity. FIG. [Figure 10] 10 is a flowchart illustrating an example of a procedure in which a server presents air conditioning capacity. [Figure 11] FIG. 10 is a diagram illustrating an example of a capability calculation model configured by a neural network. [Figure 12] FIG. 10 is a diagram showing an example of a capacity calculation model that inputs information related to power consumption, outside air temperature, compressor efficiency, and pressure loss. [Figure 13] FIG. 10 is a diagram showing an example of a capacity calculation model that inputs power consumption, outside air temperature, pressure loss parameters, and information related to pressure loss. [Figure 14] FIG. 10 is a diagram showing an example of a capacity calculation model that inputs power consumption, outside air temperature, compressor efficiency, pressure loss parameters, and information related to pressure loss. [Figure 15] 10 is a flowchart illustrating an example of a procedure in which a server presents air conditioning capacity. [Figure 16] FIG. 10 is a diagram illustrating an air conditioning capacity calculated by one capacity calculation model selected from a plurality of capacity calculation models based on the type of refrigerant. [Figure 17] 10 is a flowchart illustrating an example of a procedure in which a server presents air conditioning capacity. DETAILED DESCRIPTION OF THE INVENTION

[0023] An air conditioning capacity presentation system and an air conditioning capacity presentation method performed by the air conditioning capacity presentation system will be described below as an example of an embodiment of the present disclosure.

[0024] <System Overview> Figure 1 is a diagram explaining the overview of the air conditioning capacity display system. The air conditioning capacity display system calculates the capacity of existing air conditioners (hereinafter sometimes referred to as air conditioning capacity) already installed at a customer and displays this to the air conditioner owner or sales representative (hereinafter referred to as the worker). The worker can check the difference between the displayed air conditioning capacity and the maximum air conditioning capacity of the existing unit, and then recommend to the customer an air conditioner with an air conditioning capacity suitable for the business. This allows the customer to reduce unnecessary power consumption.

[0025] (1) Since it is often not possible to obtain power consumption data from the existing machine 9, a worker attaches a power sensor 61 to the existing machine 9.

[0026] (2) The worker operates the operation terminal 63 to input property information (customer address, etc.), system information (model name, rated capacity, piping length, etc.), and power sensor IDs to be installed in each system, and sends them to the server 100. The server 100 has registered therein the property information (customer address, etc.), system information (model name, rated capacity, piping length, etc.), and power sensor IDs to be installed in each system, etc.

[0027] (3) The power sensor 61 attached to the existing device 9 transmits the power consumption to the server 100. The power consumption is stored in the measurement DB 152 together with the power sensor ID.

[0028] (4) The server 100 acquires the outside temperature and humidity of the customer's address included in the property information from the weather information providing service 150. The outside temperature and humidity may also be transmitted to the server 100 from a sensor attached around the outdoor unit of the existing machine 9.

[0029] (5) The server 100 references the air conditioner DB 151, which associates the model name of the outdoor unit with a model constant, and acquires the model constant associated with the model name of the outdoor unit. The model constant is a constant required to calculate the air conditioning capacity, such as the condensation temperature, evaporation temperature, and degree of superheat. The server 100 calculates the air conditioning capacity by applying the model constant, the power consumption identified by the power sensor ID, and the outdoor temperature to a calculation model 153 for calculating the air conditioning capacity. The calculation model 153 may be a physical model or a capacity calculation model based on machine learning.

[0030] (6) The server 100 presents the calculated air conditioning capacity to the operator's operation terminal 63.

[0031] However, in reality, even if the rated capacity, power consumption, and outdoor temperature of an air conditioner are the same, if the air conditioner's performance characteristics differ, the air conditioning capacity will also differ accordingly. For example, the type of refrigerant, heat exchanger performance, and compressor performance also affect the air conditioner's performance characteristics, so unless these factors are also used in calculating the air conditioning capacity, it is not possible to calculate the air conditioning capacity accurately.

[0032] For example, when trying to perform a calculation that reflects compressor efficiency, which is one of the performance characteristics of an air conditioner, (i) Obtain the compressor efficiency value for each target model through testing, etc. (ii) Using a single fixed value for compressor efficiency without distinguishing between models However, (i) can accurately reflect the compressor efficiency in the calculation, but is difficult to implement in reality, and (ii) can be implemented easily, but the error will be large if the difference from the actual value is large.

[0033] Therefore, the air conditioning capacity display system of this embodiment takes advantage of the fact that refrigerant type correlates with compressor efficiency and pressure loss parameters, which are part of the air conditioner performance characteristics, and predetermines a compressor efficiency value and pressure loss parameter for each refrigerant type. The air conditioning capacity display system then identifies at least one of the compressor efficiency and pressure loss parameter based on the refrigerant type, in addition to power consumption and outside temperature, to calculate the air conditioning capacity. The air conditioning capacity display system can also use the refrigerant type itself to calculate the air conditioning capacity. This allows the air conditioning capacity display system to display air conditioning capacity with accuracy and simplicity intermediate between the above-mentioned (i) and (ii).

[0034] [First embodiment] 2 shows the overall configuration of the air conditioning capacity presentation system 10. The air conditioning capacity presentation system 10 includes an air conditioner 20, a power sensor 61, a temperature sensor 62, an operation terminal 63, a weather information providing service 150, a network N, and a server 100. The air conditioning capacity presentation system 10 does not necessarily have to include the weather information providing service 150. Furthermore, the air conditioning capacity presentation system 10 does not necessarily have to include the air conditioner 20. In other words, it is sufficient for the air conditioning capacity presentation system 10 to be able to present the air conditioning capacity of the air conditioner 20.

[0035] The air conditioner 20 is a multi-type air conditioner having multiple indoor units 21-24 for one outdoor unit 40. The air conditioner 20 has indoor units 21-24, the outdoor unit 40, and refrigerant communication pipes 31 and 32. Note that the air conditioner 20 is an abbreviation for air conditioning apparatus. There may be one or more outdoor units 40 and one or more indoor units 21-24.

[0036] The indoor units 21-24 are installed inside the building B. The indoor units 21-24 adjust the temperature of the environment in which the user is located by providing cool or warm air to the user. An indoor unit power supply line 33 is connected to the indoor units 21-24. The indoor unit power supply line 33 transmits power from a commercial power supply 52 to the indoor units 21-24.

[0037] The outdoor unit 40 is installed outside the building B. The outdoor unit 40 obtains cold or hot heat from the outside air, which is a heat source. The outdoor unit 40 has an outdoor unit power supply line 41. The outdoor unit power supply line 41 transmits power from a commercial power supply 51 to the outdoor unit 40. The outdoor unit 40 has an outdoor heat exchanger 42 and an outdoor fan 43.

[0038] The refrigerant communication pipes 31, 32 move the refrigerant between the indoor units 21-24 and the outdoor unit 40. The refrigerant communication pipes 31, 32, together with the indoor units 21-24 and the outdoor unit 40, form a refrigerant circuit.

[0039] The power sensor 61 acquires a measurement value of the power consumption of the outdoor unit 40 of the air conditioner 20. The power sensor 61 is attached to the outdoor unit power line 41. The power sensor 61 is connected to the network N by wireless communication and can transmit the power consumption to the server 100.

[0040] The temperature sensor 62 acquires a measured value of the outside air temperature. The temperature sensor 62 is attached, for example, near the outdoor unit 40. In this case, the outside air temperature is the temperature of the air surrounding the outdoor unit 40. The temperature sensor 62 can connect to the network N by wireless communication and transmit the outside air temperature to the server 100. Note that instead of the temperature sensor 62, the outside air temperature may also be acquired from the weather information providing service 150 based on property information.

[0041] The temperature sensor 62 does not measure the air blown out from the outdoor unit 40 after heat exchange in the outdoor heat exchanger 42.

[0042] The operation terminal 63 is operated by a worker or the like who performs work on the air conditioner 20. The worker inputs property information (such as the customer's address), a power sensor ID, and system information (such as the model name, rated capacity, and piping length) into the operation terminal 63. The operation terminal 63 can connect to the network N via wireless communication and transmit the information input by the worker to the server 100.

[0043] Furthermore, the operator inputs information relating to the pressure loss of the refrigerant in the refrigerant communication pipes 31, 32 into the operation terminal 63. The information relating to the pressure loss is, for example, one or both of the following quantities:

[0044] The length (piping length) of the refrigerant communication pipes 31, 32 connecting the indoor unit 24 farthest from the outdoor unit 40 to the outdoor unit 40.

[0045] Height difference between outdoor unit 40 and indoor units 21 to 24.

[0046] The operation terminal 63 can transmit information related to the pressure loss via the network N.

[0047] In addition, the worker inputs information related to the rated output of the outdoor fan 43 into the operation terminal 63. The operation terminal 63 can transmit the information related to the rated output of the outdoor fan 43 to the server 100 via the network N.

[0048] The operator also inputs information that can identify the refrigerant type into the operation terminal 63. The information that can identify the refrigerant type may be information that can preferably uniquely identify the refrigerant type. Details will be explained in Figures 5 and 6. The information that can identify the refrigerant type is, for example, one or more of the refrigerant symbol (name of refrigerant) used in the air conditioner, the chemical formula of the refrigerant, the physical properties of the refrigerant, the pipe diameter of the refrigerant connection pipe, the year of manufacture of the air conditioner, the year of sale of the air conditioner, the model name of the outdoor unit, and the model name of the indoor unit. The operation terminal 63 can transmit the information that can identify the refrigerant type via the network N.

[0049] The network N is configured as a collection of public switched telephone networks (PSTN), mobile phone networks, wireless LANs, and other known networks.

[0050] The server 100 is connected to a network N. The server 100 can receive data transmitted from a power sensor 61, a temperature sensor 62, and an operation terminal 63.

[0051] <Hardware block diagram> Fig. 3 is a diagram showing an example of the hardware configuration of server 100. As shown in Fig. 3, server 100 includes a processor 221, a memory 222, an auxiliary storage device 223, an I / F (Interface) device 224, a communication device 225, and a drive device 226. The hardware components of server 100 are connected to each other via a bus 207.

[0052] The processor 221 has various arithmetic devices such as a CPU (Central Processing Unit), etc. The processor 221 reads and executes various programs onto the memory 222. The processor 221 corresponds to the control unit 70 that controls the entire server 100.

[0053] The memory 222 has a main storage device such as a ROM (Read Only Memory), a RAM (Random Access Memory), etc. The processor 221 and the memory 222 form a so-called computer, and the processor 221 executes various programs read onto the memory 222.

[0054] The auxiliary storage device 223 stores various programs and various data used when the processor 221 executes the various programs.

[0055] The I / F device 224 is a connection device that connects a display device 230 and an operation device 240, which are examples of external devices, to the server 100. The display device 230 displays the internal state of the server 100. The operation device 240 is used when an administrator of the server 100 inputs various instructions to the server 100.

[0056] The communication device 225 is a communication device for communicating with the operation terminal 63, the power sensor 61, and the temperature sensor 62 via the network N.

[0057] The drive device 226 is a device for loading a recording medium 250. The recording medium 250 here includes media that record information optically, electrically, or magnetically, such as a CD-ROM, a flexible disk, or a magneto-optical disk. The recording medium 250 may also include semiconductor memory that records information electrically, such as a ROM or flash memory.

[0058] The various programs to be installed in the auxiliary storage device 223 are installed, for example, by setting the distributed recording medium 250 in the drive device 226 and reading out the various programs recorded on the recording medium 250 by the drive device 226. Alternatively, the various programs to be installed in the auxiliary storage device 223 may be installed by being downloaded from the network N via the communication device 225.

[0059] <Control unit 70> 4 is a schematic diagram of the control unit 70, which is responsible for the calculations of the air conditioning capacity presentation system 10. The control unit 70 is physically included in the server 100. The control unit 70 includes an outdoor unit capacity information receiving unit 71, a power consumption receiving unit 72, an outdoor temperature receiving unit 73, a refrigerant information receiving unit 74, an air conditioning capacity calculation unit 75, and a proposal creation unit 76. In other words, the server 100 executes dedicated software to function as the outdoor unit capacity information receiving unit 71, the power consumption receiving unit 72, the outdoor temperature receiving unit 73, the refrigerant information receiving unit 74, the air conditioning capacity calculation unit 75, and the proposal creation unit 76.

[0060] The outdoor unit capacity information receiving section 71 receives the outdoor unit capacity information from the operation terminal 63 via the network N.

[0061] The power consumption receiving unit 72 receives the power consumption from the power sensor 61 via the network N.

[0062] The outdoor air temperature receiving unit 73 receives the outdoor air temperature information of the area where the outdoor unit is installed from the temperature sensor 62 or the weather information providing service 150 via the network N.

[0063] The refrigerant information receiving unit 74 receives information from the operation terminal 63 via the network N that can identify the type of refrigerant.

[0064] The air conditioning capacity calculation unit 75 calculates the capacity of the air conditioner 20 based on the outdoor unit capacity information, power consumption, outside temperature, and refrigerant type. When the refrigerant information receiving unit 74 receives information that can identify the refrigerant type, the air conditioning capacity calculation unit 75 obtains, from the refrigerant information storage unit 79, the refrigerant type that is associated with the information that can identify the refrigerant type.

[0065] The proposal creation unit 76 creates a proposal for new installation units to replace the outdoor unit 40 and at least some of the indoor units 21 to 24, based on the maximum calculated value of the air conditioning capacity over a predetermined period.

[0066] <Refrigerant information storage unit> First, refrigerant types will be explained based on Figure 5. Figure 5 is a list of common refrigerant types. Refrigerants can be classified hierarchically. Figure 5 classifies them into three levels: large, medium, and small. Any of the large, medium, or small classifications can be considered a refrigerant type.

[0067] Furthermore, in this embodiment, to accurately calculate air conditioning capacity even when compressor efficiency or pressure loss parameters vary depending on the refrigerant type, refrigerants with different compressor efficiency or pressure loss parameters may be classified as different refrigerant types. For example, if the compressor efficiency or pressure loss parameters of each refrigerant classified into a medium category are the same, multiple refrigerant types classified as different refrigerant types in the medium category may be grouped together as the same refrigerant type. For example, if the compressor efficiency or pressure loss parameters of R11, R22, and R123 (minor category) are the same but the compressor efficiency or pressure loss parameters of R12 (minor category) are different, R11, R22, and R123 are considered to be the same refrigerant type, but R12 is considered to be a different refrigerant type. Note that the compressor efficiency or pressure loss parameters do not need to match exactly; differences depending on the desired air conditioning capacity are acceptable. For example, differences of a few percent in the compressor efficiency or pressure loss parameters may be considered to be the same.

[0068] In addition, refrigerants used in air conditioners are generally distributed in subclassifications, and the subclassifications of refrigerants are also listed on the air conditioners, so the subclassifications may also be used as refrigerant types.

[0069] FIG. 6 shows the refrigerant information stored in the refrigerant information storage unit 79. For ease of explanation, FIG. 6 shows only some of the refrigerant types from FIG. 5, with minor classifications (refrigerant symbols) being used as refrigerant types. The refrigerant information includes the refrigerant symbol, the chemical formula of the refrigerant, the physical properties of the refrigerant, the pipe diameter of the refrigerant connection pipe, the year of manufacture of the air conditioner, the year of sale of the air conditioner, the model name of the outdoor unit, the model name of the indoor unit, the compressor efficiency, and the pressure loss parameter. Of this, the remaining information excluding the compressor efficiency and the pressure loss parameter is "information that can identify the refrigerant type." If the refrigerant type is the refrigerant symbol itself, then the "information that can identify the refrigerant type" can be referred to as "the refrigerant type or information associated with the refrigerant type." (1) Refrigerant symbol, refrigerant chemical formula, refrigerant physical properties, outdoor unit model name, indoor unit model name These "information that can identify the refrigerant type" can uniquely identify the refrigerant type. The refrigerant symbol may be used as the name of the refrigerant. (2) Year of manufacture and year of sale of the air conditioner The year of manufacture and sale of the air conditioner cannot uniquely identify the refrigerant type based on the year the refrigerant was switched. However, the air conditioning capacity calculation unit 75 can identify the refrigerant type in other years. For this reason, one possible method is to register the year the refrigerant was switched in advance, so that if the information capable of identifying the refrigerant type sent from the operation terminal 63 is the year the refrigerant was switched, the air conditioning capacity calculation unit 75 will not determine the refrigerant type. Alternatively, for example, not only the year the refrigerant was switched but also the month the refrigerant was switched can be registered in the refrigerant information storage unit 79, and an operator can enter the year and month of manufacture and sale of the air conditioner into the operation terminal 63. (3) Pipe diameter of refrigerant connection pipe The pipe diameter of the refrigerant communication pipe often differs for different refrigerant types, so the refrigerant type can be almost always identified. However, if the same pipe diameter is used for different refrigerant types, it can lead to an incorrect determination of the refrigerant type. For this reason, one possible method is to pre-register the same pipe diameter that can be used for different refrigerant types, and if the pipe diameter registered is one for which information that can identify the refrigerant type is sent from the operation terminal 63, the air conditioning capacity calculation unit 75 will not determine the refrigerant type.

[0070] Next, compressor efficiency will be explained. As shown in Figure 6, compressor efficiency is the ratio between the workload required to compress refrigerant gas and the theoretically calculated workload. Factors that change compressor efficiency include (1) improvements in compressor performance over time, (2) changes in compressor design when the refrigerant type is changed, and (3) changes in the balance point of the temperature ratio or pressure ratio when the refrigerant type is changed. Therefore, it can be said that compressor efficiency changes significantly, especially when the refrigerant type used in the air conditioner is changed. The air conditioning capacity calculation unit 75 calculates the air conditioning capacity using the compressor efficiency according to the refrigerant type, thereby improving the accuracy of the air conditioning capacity calculation. Note that the compressor efficiency in Figure 6 is registered as a value according to the rated output.

[0071] Similarly, it is known that the pressure loss when the refrigerant flows through the refrigerant communication pipes 31, 32 varies depending on the type of refrigerant. The pressure loss parameter is a correction coefficient for information related to pressure loss. As described above, the information related to pressure loss is at least one of the length of the refrigerant communication pipes 31, 32 and the difference in elevation between the outdoor unit 40 and the indoor units 21-24. The pressure loss is calculated by substituting the information related to pressure loss and the pressure loss parameter, which varies depending on the type of refrigerant, into a correction formula. The air conditioning capacity calculation unit 75 calculates the air conditioning capacity using the pressure loss parameter according to the type of refrigerant, thereby improving the accuracy of the air conditioning capacity calculation.

[0072] <Calculating air conditioning capacity using a physical model> Next, a method for calculating air conditioning capacity using a physical model will be described with reference to Figures 7 to 9. A physical model refers to a calculation formula using constants and variables, or to calculating values ​​using this calculation formula. Values ​​acquired by sensors, etc., are substituted into the variables.

[0073] <<Uses compressor efficiency η according to the type of refrigerant>> FIG. 7 is a flowchart illustrating the process in which the air conditioning capacity calculation unit 75 identifies the compressor efficiency η based on the type of refrigerant and calculates the air conditioning capacity.

[0074] S1: The air conditioning capacity calculation unit 75 acquires the outside air temperature TO received by the outside air temperature receiving unit 73.

[0075] S2: The air conditioning capacity calculation unit 75 acquires the evaporation temperature Te of the refrigerant in the evaporator and the degree of superheat (compressor suction gas temperature - evaporation temperature) SH. The evaporation temperature Te and the degree of superheat SH are known constants.

[0076] S3: The air conditioning capacity calculation unit 75 substitutes the outside air temperature TO, the evaporation temperature Te, and the degree of superheat SH into a preset calculation formula to calculate the specific enthalpy difference ΔHcomp,th during adiabatic compression. The specific enthalpy difference ΔHcomp,th during adiabatic compression is the difference in specific enthalpy between the inlet and outlet of the compressor during adiabatic compression (i.e., isentropic change).

[0077] S4: The air conditioning capacity calculation unit 75 calculates Wcomp by substituting the power consumption P received by the power consumption reception unit 72 into a preset calculation formula.

[0078] S5: The air conditioning capacity calculation unit 75 acquires the compressor efficiency η from the refrigerant information storage unit 79 based on the information received by the refrigerant information receiving unit 74 that can identify the refrigerant type.

[0079] S6: The air conditioning capacity calculation unit 75 calculates the specific enthalpy difference ΔH between the inlet and outlet of the evaporator. i Calculate.

[0080] S7: The air conditioning capacity calculation unit 75 calculates the refrigerant flow rate G by substituting the specific enthalpy difference ΔHcomp,th, the power consumption Wcomp, and the compressor efficiency η into a preset calculation formula.

[0081] S8: The air conditioning capacity calculation unit 75 calculates the air conditioning capacity correction coefficient by substituting the predetermined pressure loss parameter (fixed value) and information related to the pressure loss (piping length, elevation difference) into a preset calculation formula.

[0082] S9: The air conditioning capacity calculation unit 75 calculates the specific enthalpy difference ΔH iThe air conditioning capacity is calculated by substituting the refrigerant flow rate G into a preset calculation formula, and the final air conditioning capacity is calculated by correcting this air conditioning capacity with the air conditioning capacity correction coefficient.

[0083] <<Use pressure loss parameters according to the type of refrigerant>> Fig. 8 is a flowchart illustrating the process by which the air conditioning capacity calculation unit 75 identifies a pressure loss parameter based on the refrigerant type and calculates the air conditioning capacity. The explanation of Fig. 8 will mainly focus on the differences from Fig. 7. In Fig. 8, the compressor efficiency η is a fixed value. For this reason, the process of step S5 is different from Fig. 7. Furthermore, in Fig. 8, the air conditioning capacity is calculated using a pressure loss parameter according to the refrigerant type, so the process of step S8 is different.

[0084] S5-2: The air conditioning capacity calculation unit 75 acquires the compressor efficiency η (fixed value) that is determined in advance based on the rated output.

[0085] S8-2: The air conditioning capacity calculation unit 75 acquires the pressure loss parameter from the refrigerant information storage unit 79 based on the information capable of identifying the refrigerant type received by the refrigerant information receiving unit 74. The air conditioning capacity calculation unit 75 substitutes the pressure loss parameter and information related to the pressure loss (piping length, elevation difference) into a preset calculation formula to calculate an air conditioning capacity correction coefficient.

[0086] S9: The air conditioning capacity calculation unit 75 calculates the specific enthalpy difference ΔH i The air conditioning capacity is calculated by substituting the refrigerant flow rate G into a preset calculation formula, and the final air conditioning capacity is calculated by correcting this air conditioning capacity with the air conditioning capacity correction coefficient.

[0087] <<Uses compressor efficiency and pressure loss parameters according to the type of refrigerant>> Fig. 9 is a flowchart illustrating the process in which the air conditioning capacity calculation unit 75 identifies the compressor efficiency η and the pressure loss parameter based on the refrigerant type and calculates the air conditioning capacity. The explanation of Fig. 9 will mainly focus on the differences from Fig. 7. In Fig. 9, the process of step S5 may be the same as in Fig. 7, and the process of step S8 may be the same as in Fig. 8.

[0088] S5: The air conditioning capacity calculation unit 75 acquires the compressor efficiency η from the refrigerant information storage unit 79 based on the information received by the refrigerant information receiving unit 74 that can identify the refrigerant type.

[0089] S7: The air conditioning capacity calculation unit 75 calculates the refrigerant flow rate G by substituting the specific enthalpy difference ΔHcomp,th, the power consumption Wcomp, and the compressor efficiency η into a preset calculation formula.

[0090] S8-2: The air conditioning capacity calculation unit 75 acquires the pressure loss parameter from the refrigerant information storage unit 79 based on the information capable of identifying the refrigerant type received by the refrigerant information receiving unit 74. The air conditioning capacity calculation unit 75 substitutes the pressure loss parameter and information related to the pressure loss (piping length, elevation difference) into a preset calculation formula to calculate an air conditioning capacity correction coefficient.

[0091] S9: The air conditioning capacity calculation unit 75 calculates the specific enthalpy difference ΔH i The air conditioning capacity is calculated by substituting the refrigerant flow rate G into a preset calculation formula, and the final air conditioning capacity is calculated by correcting this air conditioning capacity with the air conditioning capacity correction coefficient.

[0092] <Procedure for demonstrating abilities> FIG. 10 is a flowchart illustrating the procedure by which the server 100 presents the air conditioning capacity.

[0093] First, a worker checks the existing equipment, the air conditioner 20. The worker arrives at building B and checks the indoor units 21-24, the outdoor unit 40, the refrigerant connection pipes 31-32, and the like.

[0094] Next, the worker attaches the power sensor 61 to the outdoor unit power line 41 (S11).

[0095] Next, the worker attaches the temperature sensor 62 near the outdoor unit 40 (S12).

[0096] Next, the worker uses the operation terminal 63 to input the following values ​​(S13). The input information is sent to the server 100.

[0097] - Outdoor unit capacity information (e.g., outdoor unit rated capacity).

[0098] - Information related to the pressure loss of the refrigerant in the refrigerant connection pipes 31, 32.

[0099] - Information that can identify the type of refrigerant Next, the worker starts measurement. Over the measurement period (for example, one year), the power sensor 61 and the temperature sensor 62 continue to transmit measurement data (power consumption and outside air temperature) to the server 100 (S14). The outside air temperature may be obtained from the weather information providing service 150.

[0100] Next, the data is analyzed. First, the air conditioning capacity calculation unit 75 calculates the air conditioning capacity using a physical model using one of the procedures shown in Figures 7 to 9 (S15).

[0101] Next, a proposal is made for updating the air conditioner 20. The proposal creation unit 76 creates a proposal for new installation units to replace at least some of the indoor units 21-24 and the outdoor unit 40, based on the maximum calculated value of the air conditioning capacity (S16).

[0102] <Major Effects> According to this embodiment, the server 100 identifies at least one of the compressor efficiency η or the pressure loss parameter based on information that can identify the refrigerant type, and calculates the air conditioning capacity, thereby making it possible to present more accurate air conditioning capacity that takes into account the performance characteristics of the air conditioner.

[0103] [Second embodiment] In this embodiment, a control unit 70 that calculates air conditioning capacity using a capacity calculation model generated by machine learning will be described. In this embodiment, the hardware configuration diagram of Fig. 3 and the functional block diagram of Fig. 4 described in the first embodiment will be described as being applicable.

[0104] <Ability calculation model using neural networks> Figure 11 shows an ability calculation model 170 configured using a neural network. A neural network is a type of artificial intelligence (AI) model that trains a computer to process data in a way that mimics the workings of the human brain. An existing configuration of the neural network is used.

[0105] In FIG. 11, the inputs to the capacity calculation model 170 are power consumption P, outdoor air temperature TO, and refrigerant type. The output is air conditioning capacity. The capacity calculation model 170 has an input layer 171, an intermediate layer 172, and an output layer 173. In the neural network of FIG. 11, L layers are fully connected from the nodes in the input layer 171 to the nodes in the output layer 173. A neural network with a deep hierarchy is called a DNN (Deep Neural Network). The layer between the input layer 171 and the output layer 173 is called the intermediate layer 172. The number of intermediate layers 172, the number of nodes, etc. are merely examples.

[0106] Weights are set for the connections between nodes, and the output from a node multiplied by the weight is transmitted to the node in the next layer. The node in the next layer receives the output of all nodes in the previous layer, so the node in the next layer sums the output of all nodes in the previous layer. The node in the next layer activates the summed output using an activation function and transmits it to the next node. This process is repeated until the value is transmitted to the output layer.

[0107] In this embodiment, the capacity calculation model 170 is a regression model (other models include classification models) because we want to infer the air conditioning capacity 190. For this reason, the output layer 173 is provided with one node 178 that outputs the air conditioning capacity 190.

[0108] It is assumed that the learning phase of the capacity calculation model 170 has been learned using an existing method. That is, the capacity calculation model 170 learns the correspondence between the power consumption P, the outside air temperature TO, the refrigerant type Rt, the information Inf related to pressure loss, and the air conditioning capacity 190. However, the information Inf related to pressure loss does not have to be used in the learning. In this case, the information Inf related to pressure loss is used when correcting the calculated air conditioning capacity 190.

[0109] In the inference phase using the capacity calculation model 170, for example, power consumption P, outside air temperature TO, refrigerant type Rt, and information Inf related to pressure loss are input to the input layer 171. The output layer 173 calculates (infers) the air conditioning capacity 190.

[0110] The refrigerant information receiving unit 74 may receive information that can identify the refrigerant type from the operation terminal 63 via the network N. In this case, the air conditioning capacity calculation unit 75 acquires, from the refrigerant information storage unit 79, the refrigerant type that is associated with the information that can identify the refrigerant type.

[0111] Furthermore, as nodes corresponding to the refrigerant types in the input layer 171, the same number of nodes as the number of refrigerant types may be provided, and the refrigerant types may be input using a one-hot vector in which only the nodes corresponding to the refrigerant types are set to 1.

[0112] For each input of power consumption P, outdoor temperature TO, refrigerant type Rt, and information Inf related to pressure loss, the output layer outputs one air conditioning capacity value. Therefore, when power consumption P and outdoor temperature TO associated with time are repeatedly input (the information Inf related to refrigerant type Rt and pressure loss does not change), the air conditioning capacity 190 is also repeatedly output associated with time. In this way, the time period during which the air conditioning capacity 190 peaks is obtained.

[0113] 11, a neural network has been described as an example, but in this embodiment, the ability calculation model 170 may be a regression model. Examples of regression models include multiple regression, ridge regression, lasso regression, and logistic regression.

[0114] <When compressor efficiency is used as input> As shown in Fig. 12, the capacity calculation model may take compressor efficiency as an input. Fig. 12 shows a capacity calculation model 180 that takes power consumption P, outside air temperature TO, compressor efficiency η, and information Inf related to pressure loss as input. Other configurations may be the same as those in Fig. 11.

[0115] 12 also learns in advance the correspondence between the information Inf relating to the power consumption P, the outside air temperature TO, the compressor efficiency η, and the pressure loss and the air conditioning capacity 190. However, the information Inf relating to the pressure loss does not have to be used in learning the capacity calculation model 180. In this case, the information Inf relating to the pressure loss is used when correcting the calculated air conditioning capacity 190.

[0116] In the inference phase using the capacity calculation model 180, for example, information Inf related to power consumption P, outside air temperature T0, compressor efficiency η, and pressure loss is input to the input layer 171. In response to the input of information Inf related to power consumption P, outside air temperature T0, compressor efficiency η, and pressure loss, the output layer outputs air conditioning capacity 190.

[0117] The refrigerant information receiving unit 74 receives information capable of identifying the refrigerant type from the operation terminal 63 via the network N. The air conditioning capacity calculation unit 75 acquires, from the refrigerant information storage unit 79, the compressor efficiency η associated with the information capable of identifying the refrigerant type.

[0118] <When pressure loss parameters are used as input> As shown in Fig. 13, the capacity calculation model may take a pressure loss parameter as an input. Fig. 13 shows a capacity calculation model 181 that takes as inputs power consumption P, outside air temperature TO, pressure loss parameter Pmt, and information Inf related to pressure loss. Other configurations may be the same as those in Fig. 11.

[0119] The capacity calculation model 181 in FIG. 13 also learns in advance the correspondence between the power consumption P, the outside air temperature TO, the pressure loss parameter Pmt, the information Inf relating to the pressure loss, and the air conditioning capacity 190.

[0120] In the inference phase using the capacity calculation model 181, for example, the power consumption P, the outside air temperature TO, the pressure loss parameter Pmt, and the information Inf related to the pressure loss are input to the input layer 171. In response to the input of the power consumption P, the outside air temperature TO, the pressure loss parameter Pmt, and the information Inf related to the pressure loss, the output layer outputs the air conditioning capacity 190.

[0121] The refrigerant information receiving unit 74 receives information that can identify the refrigerant type from the operation terminal 63 via the network N. The air conditioning capacity calculation unit 75 acquires, from the refrigerant information storage unit 79, the pressure loss parameter Pmt that is associated with the information that can identify the refrigerant type.

[0122] <When compressor efficiency and pressure loss parameters are used as input> As shown in Fig. 14, the capacity calculation model may take compressor efficiency and pressure loss parameters as inputs. Fig. 14 shows a capacity calculation model 182 that takes power consumption P, outside air temperature TO, compressor efficiency η, pressure loss parameter Pmt, and information Inf related to pressure loss as inputs. The other configurations may be the same as those in Fig. 11.

[0123] The capacity calculation model 182 in FIG. 14 also learns in advance the correspondence between the power consumption P, the outside air temperature TO, the compressor efficiency η, the pressure loss parameter Pmt, the information Inf relating to the pressure loss, and the air conditioning capacity 190.

[0124] In the inference phase using the capacity calculation model 170, for example, power consumption P, outside air temperature TO, compressor efficiency η, pressure loss parameter Pmt, and information Inf related to pressure loss are input to the input layer 171. In response to the input of power consumption P, outside air temperature TO, compressor efficiency η, pressure loss parameter Pmt, and information Inf related to pressure loss, the output layer outputs air conditioning capacity 190.

[0125] The refrigerant information receiving unit 74 receives information capable of identifying the refrigerant type from the operation terminal 63 via the network N. The air conditioning capacity calculation unit 75 acquires, from the refrigerant information storage unit 79, the compressor efficiency η and the pressure loss parameter associated with the information capable of identifying the refrigerant type.

[0126] <Procedure for demonstrating abilities> Fig. 15 is a flowchart illustrating the procedure for the server 100 to present the air conditioning capacity. The explanation of Fig. 15 will mainly focus on the differences from Fig. 10. In Fig. 15, the processing of step S15 differs from that in Fig. 10.

[0127] In step S15, the air conditioning capacity calculation unit 75 calculates the air conditioning capacity using any one of the capacity calculation models shown in FIGS. 11 to 14 (S15).

[0128] <Major Effects> In this embodiment, the server 100 identifies at least one of the compressor efficiency η or the pressure loss parameter based on information that can identify the refrigerant type, and calculates the air conditioning capacity, so that it can present more accurate air conditioning capacity that takes into account the air conditioner performance characteristics.

[0129] [Third embodiment] In this embodiment, a control unit 70 that calculates air conditioning capacity using a capacity calculation model selected according to the type of refrigerant will be described. In this embodiment, the hardware configuration diagram of Fig. 3 and the functional block diagram of Fig. 4 described in the first embodiment will be described as being applicable.

[0130] <Selection of ability calculation model> Fig. 16 is a diagram illustrating an air conditioning capacity 190 calculated by one capacity calculation model selected from multiple capacity calculation models based on the refrigerant type. Although three capacity calculation models 761-763 are shown in Fig. 16, the number of capacity calculation models 761-763 is the same as the number of refrigerant types. In other words, each capacity calculation model 761-763 is generated for each refrigerant type. The capacity calculation model 761 has learned the correspondence between the power consumption P, the outside air temperature TO, the information Inf on pressure loss, and the air conditioning capacity 190 when the refrigerant type is R22. The capacity calculation model 762 has learned the correspondence between the power consumption P, the outside air temperature TO, the information Inf on pressure loss, and the air conditioning capacity 190 when the refrigerant type is R32. The capacity calculation model 763 has learned the correspondence between the power consumption P, the outside air temperature TO, the information Inf on pressure loss, and the air conditioning capacity 190 when the refrigerant type is R1234yf.

[0131] In the inference phase using the capacity calculation models 761-763, the air conditioning capacity calculation unit 75 selects one of the capacity calculation models 761-763 based on the refrigerant type Rt. Information Inf relating to the power consumption P, the outside air temperature TO, and the pressure loss is input to one of the selected capacity calculation models 761-763. One of the selected capacity calculation models 761-763 outputs the air conditioning capacity 190 in response to the input of information Inf relating to the power consumption P, the outside air temperature TO, and the pressure loss.

[0132] 16, information Inf relating to pressure loss is input to the capacity calculation models 761 to 763, but the information Inf relating to pressure loss does not have to be input to the capacity calculation models 761 to 763. In this case, the information Inf relating to pressure loss is used when correcting the calculated air conditioning capacity 190.

[0133] Furthermore, the compressor efficiency η and the pressure loss parameter Pmt are considered to be reflected in the capacity calculation models 761 to 763 at the time of learning the correspondence between the power consumption P, the outside air temperature TO, the information Inf on pressure loss, and the air conditioning capacity 190 for each refrigerant type. For this reason, there is not much need to add the compressor efficiency η and the pressure loss parameter Pmt to the inputs to the capacity calculation models 761 to 763.

[0134] <Procedure for demonstrating abilities> Figure 17 is a flowchart illustrating the procedure by which the server 100 presents the air conditioning capacity. The explanation of Figure 17 will mainly focus on the differences from Figure 15. In Figure 17, step S14-2 has been added, and the processing of step S15 differs from that in Figure 15.

[0135] In step S14-2, the air conditioning capacity calculation unit 75 selects a capacity calculation model according to the type of refrigerant (S14-2).

[0136] In step S15-2, the air conditioning capacity calculation unit 75 calculates the air conditioning capacity using the selected capacity calculation model (S15-2).

[0137] <Major Effects> In this embodiment, server 100 selects a capacity calculation model based on information that can identify the refrigerant type, and the selected capacity calculation model calculates the air conditioning capacity, so that more accurate air conditioning capacity can be presented taking into account the performance characteristics of the air conditioner.

[0138] <Reasons for the effect> The first aspect of the present disclosure acquires "information that can identify the refrigerant type of the air conditioner" in addition to "the power consumption of the outdoor unit of the air conditioner and the outside temperature, which is the temperature of the air surrounding the outdoor unit," and then "calculates the capacity of the air conditioner based on the power consumption, the outside temperature, and the information that can identify the refrigerant type," thereby taking into account the effect of refrigerant type on the capacity of the air conditioner and improving the accuracy of the capacity of the air conditioner presented as the capacity required for the air conditioner.

[0139] The second aspect of the present disclosure "calculates the capacity of the air conditioner based on the power consumption, the outside temperature, and the compressor efficiency," so that the capacity of the air conditioner can be calculated using compressor performance that affects the performance characteristics of the air conditioner, improving the accuracy of the presented capacity of the air conditioner.

[0140] The third aspect of the present disclosure "calculates the capacity of the air conditioner based on the power consumption, the outside temperature, information related to the pressure loss of the refrigerant in the refrigerant connection pipe, and the pressure loss parameter," so that the capacity of the air conditioner can be calculated using the pressure loss parameter that affects the performance characteristics of the air conditioner, improving the accuracy of the presented capacity of the air conditioner.

[0141] In a fourth aspect of the present disclosure, "the control unit calculates the capacity of the air conditioner based on the power consumption, the outside temperature, the compressor efficiency, information related to the pressure loss of the refrigerant in the refrigerant connection pipe, and the pressure loss parameter," so that the capacity of the air conditioner can be calculated using the compressor performance and pressure loss parameter that affect the performance characteristics of the air conditioner, thereby improving the accuracy of the presented capacity of the air conditioner.

[0142] The fifth aspect of the present disclosure "calculates the capacity of the air conditioner by inputting the power consumption, the outside temperature, and the refrigerant type" into the model, thereby taking into account the effect of the refrigerant type on the capacity of the air conditioner, and improving the accuracy of the capacity of the air conditioner presented as the capacity required for the air conditioner.

[0143] The sixth aspect of the present disclosure "calculates the capacity of the air conditioner by inputting the power consumption, the outside temperature, and the compressor efficiency" into the model, so that the capacity of the air conditioner can be calculated using compressor performance that affects the performance characteristics of the air conditioner, improving the accuracy of the presented capacity of the air conditioner.

[0144] The seventh aspect of the present disclosure "calculates the capacity of the air conditioner by inputting the power consumption, the outside temperature, information related to the pressure loss of the refrigerant in the refrigerant connection pipe, and the pressure loss parameter into the model," so that the capacity of the air conditioner can be calculated using the pressure loss parameter that affects the performance characteristics of the air conditioner, improving the accuracy of the presented capacity of the air conditioner.

[0145] The eighth aspect of the present disclosure "calculates the capacity of the air conditioner by inputting the power consumption, the outside temperature, the compressor efficiency, information related to the pressure loss of the refrigerant in the refrigerant connection pipe, and the pressure loss parameters" into the model, so that the capacity of the air conditioner can be calculated using the compressor performance and pressure loss parameters that affect the performance characteristics of the air conditioner, improving the accuracy of the presented capacity of the air conditioner.

[0146] The ninth aspect of the present disclosure "selects one of the models based on information that can identify the refrigerant type," so that the capacity of the air conditioner can be calculated using the most appropriate model depending on the refrigerant type, improving the accuracy of the presented capacity of the air conditioner.

[0147] In a tenth aspect of the present disclosure, the refrigerant type can be identified because "the information that can identify the refrigerant type is at least one of the name of the refrigerant of the air conditioner, the chemical formula of the refrigerant of the air conditioner, the physical property values ​​of the refrigerant of the air conditioner, the pipe diameter of the refrigerant connection pipe, the year of manufacture of the air conditioner, the year of sale of the air conditioner, the model name of the outdoor unit, and the model name of the indoor unit of the air conditioner." [Explanation of symbols]

[0148] 10. Air conditioning capacity display system 20 Air conditioner 21~24 Indoor units 31~32 Refrigerant connection piping 40 Outdoor unit 61 Power Sensor 62 Temperature Sensor 63 Operation terminal 70 Control Unit

Claims

1. An air conditioning capacity display system that displays the capacity of an air conditioner, A control unit is provided. The control unit Acquire information that can identify the power consumption of an outdoor unit of an air conditioner, the outdoor air temperature that is the temperature of the air around the outdoor unit, and the type of refrigerant of the air conditioner; Calculating the capacity of the air conditioner based on the power consumption, the outside temperature, and information that can identify the refrigerant type. Air conditioning capacity display system.

2. the control unit acquires a compressor efficiency that is associated in advance with information that can identify the refrigerant type, the control unit calculates the capacity of the air conditioner based on the power consumption, the outside air temperature, and the compressor efficiency. The air conditioning capacity presentation system according to claim 1 .

3. the control unit acquires a pressure loss parameter that is associated in advance with information that can identify the refrigerant type, the control unit calculates the capacity of the air conditioner based on the power consumption, the outside air temperature, information related to the pressure loss of the refrigerant in the refrigerant communication pipe, and the pressure loss parameter. The air conditioning capacity presentation system according to claim 1 .

4. the control unit acquires a compressor efficiency and a pressure loss parameter that are associated in advance with the information that can identify the refrigerant type, the control unit calculates the capacity of the air conditioner based on the power consumption, the outside air temperature, the compressor efficiency, information related to the pressure loss of the refrigerant in the refrigerant communication pipe, and the pressure loss parameter. The air conditioning capacity presentation system according to claim 1 .

5. The control unit A model that has learned the correspondence between the power consumption, the outside temperature, the refrigerant type, and the capacity of the air conditioner, Calculating the capacity of the air conditioner by inputting the acquired power consumption, the outside temperature, and the refrigerant type. The air conditioning capacity presentation system according to claim 1 .

6. the control unit acquires a compressor efficiency that is associated in advance with information that can identify the refrigerant type, A model that has learned the correspondence between the power consumption, the outside temperature, the compressor efficiency, and the capacity of the air conditioner, Calculating the capacity of the air conditioner by inputting the acquired power consumption, the outside air temperature, and the compressor efficiency. The air conditioning capacity presentation system according to claim 1 .

7. the control unit acquires a pressure loss parameter that is associated in advance with information that can identify the refrigerant type, A model that has learned the correspondence between the power consumption, the outside air temperature, information related to the pressure loss of the refrigerant in the refrigerant connection pipe, and the pressure loss parameter and the capacity of the air conditioner, Calculating the capacity of the air conditioner by inputting the acquired information related to the power consumption, the outside air temperature, the pressure loss of the refrigerant in the refrigerant communication pipe, and the pressure loss parameter. The air conditioning capacity presentation system according to claim 1 .

8. the control unit acquires a compressor efficiency and a pressure loss parameter that are associated in advance with the information that can identify the refrigerant type, A model that has learned the correspondence between the power consumption, the outside air temperature, the compressor efficiency, information related to the pressure loss of the refrigerant in the refrigerant connection pipe, and the pressure loss parameter and the capacity of the air conditioner, Calculating the capacity of the air conditioner by inputting the acquired information related to the power consumption, the outside air temperature, the compressor efficiency, and the pressure loss of the refrigerant in the refrigerant connection pipe, and the pressure loss parameter. The air conditioning capacity presentation system according to claim 1 .

9. The control unit A model that learns the correspondence between the power consumption, the outside temperature, and the capacity of the air conditioner for each refrigerant type, The power consumption and the outdoor temperature thus acquired are input to calculate the capacity of the air conditioner, selecting one of the models based on the acquired information that can identify the refrigerant type; The air conditioning capacity presentation system according to claim 1 .

10. The information that can identify the refrigerant type is At least one of the name of the refrigerant of the air conditioner, the chemical formula of the refrigerant of the air conditioner, the physical property values ​​of the refrigerant of the air conditioner, the pipe diameter of the refrigerant communication pipe, the manufacturing year of the air conditioner, the sales year of the air conditioner, the model name of the outdoor unit, and the model name of the indoor unit of the air conditioner, The air conditioning capacity presentation system according to any one of claims 1 to 9.

11. An air conditioning capacity presentation method in which a control unit presents the capacity of an air conditioner, The control unit Acquire information that can identify the power consumption of an outdoor unit of an air conditioner, the outdoor air temperature that is the temperature of the air around the outdoor unit, and the type of refrigerant of the air conditioner; Calculating the capacity of the air conditioner based on the power consumption, the outside temperature, and information that can identify the refrigerant type. How to present air conditioning capacity.

12. A server capable of communicating with air conditioners via a network, The server has a control unit, The control unit Acquire information that can identify the power consumption of an outdoor unit of an air conditioner, the outdoor air temperature that is the temperature of the air around the outdoor unit, and the type of refrigerant of the air conditioner; Calculating the capacity of the air conditioner based on the power consumption, the outside temperature, and information that can identify the refrigerant type. server.

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