A method for determining the weight of a key factor for judging the refrigerant amount of a multi-split air conditioner

Abstract

The application relates to the technical field of air conditioners, and provides a weight determination method of a key factor for judging refrigerant quantity of a multi-connected air conditioner, in particular to prediction of the refrigerant quantity of the multi-connected air conditioner, which comprises the following steps: obtaining full working condition and full load average values of multiple refrigerant parameters under refrigeration and heating conditions of the multi-connected air conditioner under different refrigerant quantity conditions, and calculating the ratio of the average values to average values of the refrigerant parameters under standard refrigerant quantity conditions; drawing a relationship curve of the ratio and the refrigerant quantity, and determining weight values of the refrigerant parameters under the refrigeration and heating conditions according to the change range of the relationship curve.

Description

TECHNICAL FIELD

[0001] The application relates to the technical field of air conditioners, and provides a weight determination method for key factors for judging refrigerant quantity of a multi-split air conditioner, in particular to prediction of refrigerant quantity of a multi-split air conditioner. BACKGROUND

[0002] The multi-split air conditioner is a kind of air conditioning system, and has more running parts, a more complex running mechanism and more running parameters than a conventional air conditioning system. The parameters involved include running mode, ambient temperature, compressor frequency, high pressure, low pressure, exhaust temperature, exhaust superheat, suction temperature, suction superheat, subcooling degree, electronic expansion valve opening degree, electromagnetic valve opening condition, oil return temperature and the like. When the air conditioning system is running, the refrigerant quantity is an essential factor, and the refrigerant quantity directly affects the effect of the multi-split air conditioner. Prediction of the refrigerant quantity of the air conditioning system is a very necessary technology.

[0003] In the prior art, it has been proposed to extract key parameters to predict the refrigerant quantity. One key parameter or multiple key parameters can be used. When one key parameter is used, the fault tolerance is low. When other non-refrigerant quantity factors cause the key parameter to change, the refrigerant quantity may be misjudged.

[0004] CN113654182A discloses a method for detecting refrigerant leakage, a computer readable storage medium and an air conditioner. However, the key parameter for calculating the refrigerant quantity extracted by CN113654182A is only the pressure value, and the fault tolerance is low. When other factors cause the pressure value to be abnormal, misjudgment may occur, and the accuracy is low. CN113739348A discloses a method for detecting refrigerant state, an air conditioner and a storage medium, and proposes to use at least one key parameter to predict the refrigerant quantity. However, the weight of each key factor is not analyzed. SUMMARY

[0005] In view of the above problems, the application provides a weight determination method for key factors for judging refrigerant quantity of a multi-split air conditioner. The change law of the average value of each parameter under full working condition and full load with the refrigerant quantity is established, and the average value at 100% refrigerant quantity is compared to obtain a change curve, calculate the projection area, and establish a weight determination method for each key factor.

[0006] The technical scheme provided by the application is as follows:

[0007] A weight determination method for key factors for judging refrigerant quantity of a multi-split air conditioner comprises the following steps:

[0008] Obtain the average value of a plurality of refrigerant parameters under full working condition and full load under refrigeration and heating conditions under different refrigerant quantity conditions of a multi-split air conditioner, and calculate the ratio of the average value to the average value of each refrigerant parameter under standard refrigerant quantity conditions;

[0009] Draw the relation curve of the ratio and the refrigerant amount, and determine the weight value of each refrigerant parameter under the refrigeration and heating conditions according to the variation range of the relation curve.

[0010] Further, the multi-connected refrigeration operation and the heating operation select different refrigerant parameters.

[0011] Further, the refrigerant parameters during the refrigeration operation include: high pressure, low pressure, discharge temperature, discharge superheat, suction superheat, subcooling degree, economizer electronic expansion valve opening degree, indoor electronic expansion valve opening degree and indoor outlet superheat degree.

[0012] Further, the refrigerant parameters during the heating operation include: high pressure, low pressure, discharge temperature, discharge superheat, suction superheat, subcooling degree, economizer electronic expansion valve opening degree, indoor electronic expansion valve opening degree, indoor outlet subcooling degree and outdoor heating electronic expansion valve opening degree.

[0013] Further, the greater the variation range of the refrigerant parameter with the refrigerant amount, the greater the weight value of the refrigerant parameter in determining the plurality of refrigerant parameters.

[0014] Further, the projection area of the relation curve is calculated respectively, the projection areas of all the refrigerant parameters are added to obtain a total projection area, and the proportion of the projection area of a single refrigerant parameter in the total projection area is the weight value of the refrigerant parameter in the refrigerant amount judgment.

[0015] The application also provides an air conditioner, which comprises a processor, a memory and a refrigerant state prediction program stored on the memory and executable on the processor, and the refrigerant state prediction program adopts the steps of the above determination method when executed by the processor.

[0016] A computer readable storage medium, which stores a refrigerant state prediction program, and the refrigerant state prediction program adopts the steps of the above determination method when executed by a processor.

[0017] Advantages

[0018] Based on the operation characteristics of the multi-connected machine, the application adopts multiple key factors for refrigerant amount prediction, wherein 9 key parameters are extracted for refrigeration operation, 10 key parameters are extracted for heating operation for refrigerant amount prediction of the multi-connected machine, the variation law of the average value of each parameter under full working condition and full load with the refrigerant amount is established, and the average value at 100% refrigerant amount is compared to obtain a variation curve, calculate the projection area, and establish a weight determination method of each key factor. BRIEF DESCRIPTION OF DRAWINGS

[0019] Figure 1 The calculation curve of SH suction superheat and DIS pressure top superheat for the application

[0020] Figure 2 The calculated curves for the low-voltage LP and high-voltage HP of this invention are shown. Detailed Implementation

[0021] Example 1

[0022] The main factors affecting the refrigerant quantity during multi-split air conditioning operation are: high pressure (HP), low pressure (LP), exhaust temperature (FC), exhaust superheat (DIS), intake superheat (SH), subcooling (SC), opening degree of the economizer electronic expansion valve EXV1, opening degree of the indoor unit electronic expansion valve EXV_in, and indoor unit outlet superheat (SH_in).

[0023] The main factors affecting the refrigerant quantity during the heating operation of a multi-split air conditioning system are: high pressure (HP), low pressure (LP), exhaust temperature (FC), exhaust superheat (DIS), intake superheat (SH), subcooling (SC), opening of the economizer electronic expansion valve EXV1, opening of the indoor unit electronic expansion valve EXV_in, subcooling at the indoor unit outlet (SC_in), and opening of the outdoor unit heating electronic expansion valve EXV2.

[0024] When the refrigerant quantity in the system changes, the above parameters will exhibit certain characteristics. Therefore, the refrigerant quantity can be determined by these parameters, and a refrigerant quantity prediction model can be established.

[0025] When establishing a refrigerant quantity prediction model, refrigerant quantity can be predicted using a single parameter as shown above, or multiple parameters as shown above. Multi-parameter refrigerant quantity prediction has a higher fault tolerance and higher accuracy than single-parameter refrigerant quantity prediction. The following is a multi-parameter refrigerant quantity prediction model:

[0026] Cooling operation F(x)_CooL=g1(HP)_CooL+g2(LP)_CooL+g3(FC)_CooL+g4(DIS)_CooL+g5(SH)_CooL+g6(SC)_CooL+g7(EXV1)_CooL+g8(EXV_in)_CooL+g9(SH_in)_CooL

[0027] Heating operation F(x)_Heat=g1(HP)_Heat+g2(LP)_Heat+g3(FC)_Heat+g4(DIS)_Heat+g5(SH)_Heat+g6(SC)_Heat+g7(EXV1)_Heat+g8(EXV_in)_Heat+g9(SC_in)_Heat+g10(EXV2)_Heat

[0028] However, in the multi-parameter refrigerant quantity prediction above, although each parameter has the same weight, the actual refrigerant quantity has varying degrees of influence on each parameter. Therefore, when establishing a multi-parameter refrigerant quantity prediction model, it is necessary to increase the weight of each parameter according to the actual situation; as follows:

[0029] F(x)_CooL=A1*g1(HP)_CooL+A2*g2(LP)_CooL+A3*g3(FC)_CooL+A4*g4(DIS)_CooL+A5*g5( SH)_CooL+A6*g6(SC)_CooL+A7*g7(EXV1)_CooL+A8*g8(EXV_in)_CooL+A9*g9(SH_in)_CooL

[0030] F(x)_Heat=B1*g1(HP)_Heat+B2*g2(LP)_Heat+B3*g3(FC)_Heat+B4*g4(DIS)_Heat+B5*g5(SH)_Heat+ B6*g6(SC)_Heat+B7*g7(EXV1)_Heat+B8*g8(EXV_in)_Heat+B9*g9(SC_in)_Heat+B10*g10(EXV2)_Heat

[0031] Where: A1, A2, A3, A4, A5, A6, A7, A8, and A9 represent the weights of high pressure (HP), low pressure (LP), exhaust temperature (FC), exhaust superheat (DIS), suction superheat (SH), subcooling (SC), economizer electronic expansion valve EXV1 opening, indoor unit electronic expansion valve EXV_in opening, and indoor unit outlet superheat (SH_in) in the refrigerant quantity prediction model during cooling.

[0032] B1, B2, B3, B4, B5, B6, B7, B8, B9, and B10 represent the weights of the following parameters in the refrigerant quantity prediction model during heating: high pressure (HP), low pressure (LP), exhaust temperature (FC), exhaust superheat (DIS), intake superheat (SH), subcooling (SC), opening of the economizer electronic expansion valve EXV1, opening of the indoor unit electronic expansion valve EXV_in, subcooling of the indoor unit outlet (SC_in), and opening of the outdoor unit heating electronic expansion valve EXV2.

[0033] The weight values ​​A1, A2, A3, A4, A5, A6, A7, A8, A9 for each cooling parameter and the weight values ​​B1, B2, B3, B4, B5, B6, B7, B8, B9, B10 for each heating parameter are obtained in the following manner;

[0034] Modeling basis data: When obtaining the refrigerant quantity prediction model and determining the weight of each parameter, multiple sets of basic data for determining the refrigerant quantity are required. Taking the possible refrigerant quantity of a multi-split system as an example, the main refrigerant quantity is 10%-150% of the refrigerant quantity. Therefore, 15 sets of basic data for different refrigerant quantities can be selected at 10% intervals. Each set of basic data for refrigerant quantity includes full-condition and full-load operation data for cooling and heating.

[0035] For each refrigerant charge condition, during refrigeration operation, calculate the following parameters: high pressure HP, low pressure LP, exhaust temperature FC, exhaust superheat DIS, suction superheat SH, subcooling SC, opening of economizer electronic expansion valve EXV1, opening of indoor unit electronic expansion valve EXV_in, indoor unit outlet superheat SH_in, and their respective full-condition and full-load average values.

[0036] For each refrigerant quantity condition, during heating operation, calculate the following parameters: high pressure HP, low pressure LP, exhaust temperature FC, exhaust superheat DIS, suction superheat SH, subcooling SC, opening of economizer electronic expansion valve EXV1, opening of indoor unit electronic expansion valve EXV_in, subcooling of indoor unit outlet SC_in, and opening of outdoor unit heating electronic expansion valve EXV2, and their respective full-condition and full-load average values.

[0037] Establish the variation law of the average value of each parameter under full working conditions and full load with the refrigerant quantity, and compare it with the average value under standard refrigerant quantity (i.e., 100% refrigerant quantity). Obtain the calculation curves of M(x)_Cool / M(100%)_Cool and M(x)_Heat / M(100%)_Heat, and obtain the projected area.

[0038] Where M(x)_Cool represents the average value of parameter M under all operating conditions and full load when the refrigerant quantity is x; M(100%)_Cool represents the average value of parameter M under all operating conditions and full load when the refrigerant quantity is 100%.

[0039] M(x)_Heat represents the average value of parameter M under all operating conditions and full load when the refrigerant quantity is x; M(100%)_Heat represents the average value of parameter M under all operating conditions and full load when the refrigerant quantity is 100%.

[0040] As shown in the following example: SH Suction Superheat (x)_Cool represents the average suction superheat under all operating conditions and full load when x is the refrigerant quantity in cooling mode; SH Suction Superheat (100%)_Cool represents the average suction superheat under all operating conditions and full load when 100% is the refrigerant quantity in cooling mode.

[0041] DIS top superheat (x)_cool represents the average value of top superheat under all operating conditions and full load when the refrigerant quantity is x in cooling mode. DIS top superheat (100%)_cool represents the average value of top superheat under all operating conditions and full load when the refrigerant quantity is 100% in cooling mode.

[0042] The projected area S can be obtained as shown below. sh_cool S DIS_cool ;

[0043] The curves show that the average suction superheat value changes more significantly with refrigerant quantity than the average pressure top superheat value. The projected area S... sh_cool >S DIS_cool ;

[0044] Similarly, it can be done through, for example Figure 2 Using the schematic curves, the projected areas S of the low-pressure and high-pressure systems can be calculated. LP_cool S HP_cool ;

[0045] The above projection calculation is performed on all influencing factors;

[0046] The weight values ​​of each parameter in the refrigerant quantity prediction model are obtained as follows:

[0047] S sum_cool =S HP_cool +S LP_cool +S FC_cool +S DIS_cool +S SH_cool +S SC_cool +S EXV1_cool +

[0048] S EXV_in_cool +S SH_in_cool ;

[0049] S sum_Heat =S HP_Heat +S LP_Heat +S FC_Heat +S DIS_Heat +S SH_Heat +S SC_Heat +S EXV1_Heat +

[0050] S EXV_in_Heat +S SC_in_Heat +S EXV2_Heat ;

[0051] A1 = S HP_cool / S sum_cool A2 = S LP_cool / S sum_cool A3 = S FC_cool / S sum_cool ;

[0052] A4 = S DIS_cool / S sum_cool A5 = S SH_cool / S sum_cool A6 = S SC_cool / S sum_cool ;

[0053] A7 = S EXV1_cool / S sum_cool A8 = SEXV_in_cool / S sum_cool A9 = S SH_in_cool / S sum_cool ;

[0054] B1 = S HP_Heat / S sum_Heat B2 = S LP_Heat / S sum_Heat B3 = S FC_Heat / S sum_Heat ;

[0055] B4 = S DIS_Heat / S sum_Heat B5 = S SH_Heat / S sum_Heat B6 = S SC_Heat / S sum_Heat ;

[0056] B7 = S EXV1_Heat / S sum_Heat B8 = S EXV_in_Heat / S sum_Heat B9 = S SC_in_Heat / S sum_Heat B10 = S

[0057] EXV2_Heat / S sum_Heat ;

[0058] Based on the operating characteristics of multi-split air conditioners, this patent extracts 9 key parameters for cooling operation and 10 key parameters for heating operation for refrigerant quantity prediction. By establishing the variation law of the average value of each parameter under full operating conditions and full load with refrigerant quantity, and comparing it with the average value at 100% refrigerant quantity, the change curve is obtained, the projected area is calculated, and a method for determining the weight of each key factor is established.

[0059] Example 2

[0060] An air conditioner includes a processor, a memory, and a refrigerant state prediction program stored in the memory and executable on the processor, wherein the refrigerant state prediction program employs the steps of the determination method described above when executed by the processor.

[0061] Example 3

[0062] A computer-readable storage medium storing a refrigerant state prediction program, wherein the refrigerant state prediction program, when executed by a processor, employs the steps of the determination method described above.

[0063] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0064] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0065] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0066] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0067] The above description is only a preferred embodiment of the present invention. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the technical principles of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A method for determining the weight of key factors in judging refrigerant quantity in multi-split air conditioning systems, characterized in that, Includes the following steps: Obtain the average value of multiple refrigerant parameters under full operating conditions and full load under different refrigerant quantities for multi-split air conditioners, and calculate the ratio of this average value to the average value of each refrigerant parameter under standard refrigerant quantity conditions. Plot the relationship curve between the ratio and the refrigerant quantity, calculate the projected area of ​​each relationship curve, add the projected areas of all refrigerant parameters to obtain the total projected area, and calculate the proportion of the projected area of ​​a single refrigerant parameter in the total projected area, which is the weight value of that refrigerant parameter in the refrigerant quantity determination.

2. The method for determining the weight of key factors in judging refrigerant quantity in multi-split air conditioning systems according to claim 1, characterized in that, Different refrigerant parameters are selected for the cooling and heating operations of multi-unit systems.

3. The method for determining the weight of key factors for judging refrigerant quantity in multi-split air conditioning systems according to claim 1, characterized in that, The refrigerant parameters during refrigeration operation include: high pressure, low pressure, exhaust temperature, exhaust superheat, suction superheat, subcooling, opening of the economizer electronic expansion valve, opening of the indoor unit electronic expansion valve, and indoor unit outlet superheat.

4. The method for determining the weight of key factors in judging refrigerant quantity in multi-split air conditioning systems according to claim 1, characterized in that, The refrigerant parameters during heating operation include: high pressure, low pressure, exhaust temperature, exhaust superheat, intake superheat, subcooling, economizer electronic expansion valve opening, indoor unit electronic expansion valve opening, indoor unit outlet subcooling, and outdoor unit heating electronic expansion valve opening.

5. The method for determining the weight of key factors in judging refrigerant quantity in multi-split air conditioning systems according to claim 1, characterized in that, The greater the variation of refrigerant parameters with refrigerant quantity, the greater the weight value of that refrigerant parameter in determining multiple refrigerant parameters.

6. An air conditioner, characterized in that, The air conditioner includes a processor, a memory, and a refrigerant state prediction program stored in the memory and executable on the processor, wherein the refrigerant state prediction program, when executed by the processor, employs the steps of the determination method as described in any one of claims 1 to 5.

7. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a refrigerant state prediction program, which, when executed by a processor, employs the steps of the determination method as described in any one of claims 1 to 5.

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