Database-based variable frequency heat pump unit factory performance evaluation method and system

Abstract

The invention discloses a variable frequency heat pump unit factory performance evaluation method and system based on a database, and the method comprises the steps: determining an application scene and working condition parameters of a variable frequency heat pump unit, and determining a plurality of performance evaluation indexes according to the application scene and the working condition parameters; determining a reasonable threshold interval of each performance evaluation index, generating standard performance index data according to the reasonable threshold interval, and storing the standard performance index data in a preset database; various working parameters and state parameters of the variable frequency heat pump unit in the working process are detected and preprocessed; and determining a current evaluation value of the performance evaluation index according to the preprocessed working parameters and state parameters, and inputting the current evaluation value into a preset database to determine the comprehensive performance evaluation condition of the variable frequency heat pump unit. According to the method, accurate performance evaluation can be performed on the product by referring to the standard performance data through a database technology, so that the intelligence and the evaluation efficiency are improved, and meanwhile, the human subjective interference is reduced, and the objectivity of the evaluation result is ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of equipment performance evaluation, and in particular to a method for evaluating the factory performance of a variable frequency heat pump unit based on a database. Background Art

[0002] At present, with the rapid development of variable frequency heat pump technology, its performance and quality requirements are getting higher and higher. Traditional commodity inspection methods have problems such as low detection efficiency, low accuracy, and large interference from human factors, which are difficult to meet the needs of modern production. Therefore, the development of a system that can automatically and intelligently perform commodity inspection of variable frequency heat pump units is of great significance for improving product quality, reducing production costs, and improving production efficiency. In the mass production process of variable frequency heat pump units, in order to ensure product quality and performance consistency, the product must undergo strict startup and testing before packaging. At present, the common practice is to connect the heat pump unit to the water circuit in the assembly line commodity inspection room for online testing. This test method mainly relies on the monitoring of operating parameters such as pressure, current, and water temperature, and judges the qualification of the product through manual comparison. It can only test the operating parameters of the variable frequency heat pump unit, and cannot evaluate its factory performance, which reduces its practicality. At the same time, there is a serious subjective influence on the human judgment of product qualification, and the objectivity of product evaluation cannot be guaranteed. Summary of the invention

[0003] In response to the above-mentioned problems, the present invention provides a method and system for evaluating the factory performance of a variable frequency heat pump unit based on a database to solve the problem mentioned in the background technology that only the operating parameters of the variable frequency heat pump unit can be tested, and its factory performance cannot be evaluated, which reduces the practicality. At the same time, there is a serious subjective influence on the human judgment of product qualification, and the objectivity of product evaluation cannot be guaranteed.

[0004] A method for evaluating the factory performance of a variable frequency heat pump unit based on a database comprises the following steps:

[0005] Determine the application scenarios and working condition parameters of the variable frequency heat pump unit, and determine multiple performance evaluation indicators based on the application scenarios and working condition parameters;

[0006] Determine a reasonable threshold range for each performance evaluation indicator and generate standard performance indicator data based on the reasonable threshold range and store them in a preset database;

[0007] Detect various working parameters and state parameters of the variable frequency heat pump unit during operation and pre-process them;

[0008] The current evaluation value of the performance evaluation index is determined according to the preprocessed working parameters and state parameters, and the current evaluation value is input into a preset database to determine the comprehensive performance evaluation of the variable frequency heat pump unit.

[0009] Preferably, the application scenario and working condition parameters of the variable frequency heat pump unit are determined, and multiple performance evaluation indicators are determined according to the application scenario and working condition parameters, including:

[0010] Obtain product specification parameters of the variable frequency heat pump unit, and obtain rated efficiency parameters of the variable frequency heat pump unit according to the product specification parameters;

[0011] Obtain the purpose and use occasion parameters of the variable frequency heat pump unit and determine the application scenario parameters of the variable frequency heat pump unit based on them;

[0012] Determine the key working condition parameters that affect the variable frequency heat pump unit based on the application scenario parameters, and determine the mapping relationship between the rated efficiency parameters and the key working condition parameters;

[0013] The physical change parameter of each rated performance parameter is determined based on the mapping relationship, and a plurality of performance evaluation indicators are determined according to the physical change parameter.

[0014] Preferably, determining a reasonable threshold interval for each performance evaluation indicator and generating standard performance indicator data according to the reasonable threshold interval and storing it in a preset database includes:

[0015] Determine the main body of the collection component for each performance evaluation indicator, and detect the normal operating parameter range of each collection component main body under the normal standard working state of the variable frequency heat pump unit;

[0016] A reasonable threshold interval for each performance evaluation indicator is set according to the normal operating parameter range, and multiple stage threshold intervals corresponding to the reasonable threshold interval are obtained;

[0017] Determine a product quality index under each stage threshold interval, associate the product quality index with multiple stage threshold intervals and generate standard performance indicator data;

[0018] Determine the data format of each performance evaluation indicator data, determine the storage method according to the data format, and store the standard performance indicator data of each performance indicator in a preset database through the storage method.

[0019] Preferably, the detecting various working parameters and state parameters of the variable frequency heat pump unit during operation and preprocessing the same include:

[0020] Determine the reference factors for each performance evaluation indicator, and detect the various working parameters and state parameters of the variable frequency heat pump unit during operation based on the reference factors;

[0021] Determine the dominant mode of each working parameter and state parameter respectively, and determine the mode type of each working parameter and state parameter according to the dominant mode;

[0022] Divide each working state parameter and state parameter according to the mode type, and obtain a dynamic parameter group and a static parameter group according to the division result;

[0023] The first classification parameter in the static data group is preprocessed by data deduplication and cleaning, the variable frequency of the second classification parameter in the dynamic parameter group is determined, and the second classification parameter is selectively preprocessed by data completion, deduplication and cleaning according to the variable frequency.

[0024] Preferably, the method of determining the current evaluation value of the performance evaluation index according to the preprocessed working parameters and state parameters, and inputting the current evaluation value into a preset database to determine the comprehensive performance evaluation of the variable frequency heat pump unit includes:

[0025] Calculate the current evaluation value of each performance evaluation indicator through a preset calculation method according to the pre-processed working parameters and state parameters;

[0026] Input the current evaluation value into the preset database to determine the qualification of each performance evaluation indicator, and determine the performance dimension score of the variable frequency heat pump unit based on the qualification of each performance evaluation indicator, wherein the performance dimension includes: working performance, background standby performance and power consumption performance;

[0027] The comprehensive performance evaluation of the variable frequency heat pump unit is determined based on the performance dimension scores of the variable frequency heat pump unit and its corresponding performance description parameters.

[0028] A variable frequency heat pump unit factory performance evaluation system based on a database, the system comprising:

[0029] The first determination module is used to determine the application scenario and working condition parameters of the variable frequency heat pump unit, and determine multiple performance evaluation indicators according to the application scenario and working condition parameters;

[0030] A generation module, used to determine a reasonable threshold interval for each performance evaluation indicator and generate standard performance indicator data according to the reasonable threshold interval and store it in a preset database;

[0031] The detection module is used to detect various working parameters and state parameters of the variable frequency heat pump unit during operation and pre-process them;

[0032] The second determination module is used to determine the current evaluation value of the performance evaluation index according to the pre-processed working parameters and state parameters, and input the current evaluation value into a preset database to determine the comprehensive performance evaluation of the variable frequency heat pump unit.

[0033] Preferably, the first determining module includes:

[0034] The first determination submodule is used to obtain product specification parameters of the variable frequency heat pump unit, and obtain the rated efficiency parameters of the variable frequency heat pump unit according to the product specification parameters;

[0035] The second determination submodule is used to obtain the purpose and use occasion parameters of the variable frequency heat pump unit and determine the application scenario parameters of the variable frequency heat pump unit based on the purpose and use occasion parameters of the variable frequency heat pump unit;

[0036] The third determination submodule is used to determine the key working condition parameters affecting the variable frequency heat pump unit according to the application scenario parameters, and determine the mapping relationship between the rated efficiency parameters and the key working condition parameters;

[0037] The fourth determination submodule is used to determine the physical change parameter of each rated performance parameter based on the mapping relationship, and determine multiple performance evaluation indicators according to the physical change parameter.

[0038] Preferably, the generating module comprises:

[0039] The fifth determination submodule is used to determine the main body of the collection component of each performance evaluation indicator, and detect the normal operating parameter range of each main body of the collection component of the variable frequency heat pump unit under the normal standard working state;

[0040] A setting submodule is used to set a reasonable threshold interval for each performance evaluation indicator according to the normal operating parameter range, and obtain multiple stage threshold intervals corresponding to the reasonable threshold interval;

[0041] A generating submodule, for determining a product quality index under each stage threshold interval, associating the product quality index with a plurality of stage threshold intervals and generating standard performance indicator data;

[0042] The storage submodule is used to determine the data format of each performance evaluation indicator data, determine the storage method according to the data format, and store the standard performance indicator data of each performance indicator into a preset database through the storage method.

[0043] Preferably, the detection module comprises:

[0044] The detection submodule is used to determine the reference factors of each performance evaluation index, and detect various working parameters and state parameters of the variable frequency heat pump unit during the working process according to the reference factors;

[0045] a sixth determination submodule, for determining the dominant mode of each working parameter and state parameter respectively, and determining the mode type of each working parameter and state parameter according to the dominant mode;

[0046] A division submodule is used to divide various working state parameters and state parameters according to the mode type, and obtain a dynamic parameter group and a static parameter group according to the division result;

[0047] The preprocessing submodule is used to perform data deduplication and cleaning preprocessing on the first classification parameter in the static data group, determine the variable frequency of the second classification parameter in the dynamic parameter group, and selectively perform data completion, deduplication and cleaning preprocessing on the second classification parameter according to the variable frequency.

[0048] Preferably, the second determining module includes:

[0049] The calculation submodule is used to calculate the current evaluation value of each performance evaluation indicator through a preset calculation method according to the preprocessed working parameters and state parameters;

[0050] A seventh determination submodule is used to input the current evaluation value into a preset database to determine the qualification of each performance evaluation indicator, and determine the performance dimension score of the variable frequency heat pump unit based on the qualification of each performance evaluation indicator, wherein the performance dimension includes: working performance, background standby performance and power consumption performance;

[0051] The eighth determination submodule is used to determine the comprehensive performance evaluation of the variable frequency heat pump unit according to the performance dimension score of the variable frequency heat pump unit and its corresponding performance description parameter.

[0052] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description and the accompanying drawings.

[0053] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] The accompanying drawings are used to provide further understanding of the present invention and constitute a part of the specification. They are used to explain the present invention together with the embodiments of the present invention and do not constitute a limitation of the present invention.

[0055] Figure 1 A flowchart of a method for evaluating the factory performance of a variable frequency heat pump unit based on a database provided by the present invention;

[0056] Figure 2 Another working flow chart of a method for evaluating the factory performance of a variable frequency heat pump unit based on a database provided by the present invention;

[0057] Figure 3 A schematic diagram of the structure of a variable frequency heat pump unit factory performance evaluation system based on a database provided by the present invention;

[0058] Figure 4This is a schematic structural diagram of a first determination module in a database-based variable frequency heat pump unit factory performance evaluation system provided by the present invention. DETAILED DESCRIPTION

[0059] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present disclosure. Instead, they are merely examples of devices and methods consistent with some aspects of the present disclosure as detailed in the appended claims.

[0060] At present, with the rapid development of variable frequency heat pump technology, its performance and quality requirements are getting higher and higher. Traditional commodity inspection methods have problems such as low detection efficiency, low accuracy, and large interference from human factors, which are difficult to meet the needs of modern production. Therefore, it is of great significance to develop a system that can automatically and intelligently perform commodity inspection of variable frequency heat pump units for improving product quality, reducing production costs, and improving production efficiency. In the mass production process of variable frequency heat pump units, in order to ensure product quality and performance consistency, the product must undergo strict startup operation and testing before packaging. At present, the common practice is to connect the heat pump unit with the water circuit in the assembly line commodity inspection room for online detection. This test method mainly relies on the monitoring of operating parameters such as pressure, current, and water temperature, and judges the qualification of the product through manual comparison. It can only test the parameters of the variable frequency heat pump unit in terms of operation, and cannot evaluate its factory performance, which reduces the practicality. At the same time, there is a serious subjective influence in the manual judgment of product qualification, and the objectivity of product evaluation cannot be guaranteed. In order to solve the above problems, this embodiment discloses a method for evaluating the performance of a variable frequency heat pump unit based on database parameter comparison.

[0061] A method for evaluating the factory performance of variable frequency heat pump units based on a database, such as Figure 1 As shown, the following steps are included:

[0062] Step S101, determining the application scenario and working condition parameters of the variable frequency heat pump unit, and determining a plurality of performance evaluation indicators according to the application scenario and working condition parameters;

[0063] Step S102, determining a reasonable threshold interval for each performance evaluation indicator and generating standard performance indicator data according to the reasonable threshold interval and storing it in a preset database;

[0064] Step S103, detecting various working parameters and state parameters of the variable frequency heat pump unit during operation and pre-processing them;

[0065] Step S104: determine the current evaluation value of the performance evaluation index according to the pre-processed working parameters and state parameters, and input the current evaluation value into a preset database to determine the comprehensive performance evaluation of the variable frequency heat pump unit.

[0066] In this embodiment, the performance evaluation index may be: heating amount deviation, energy efficiency ratio, power consumption deviation, energy saving rate, etc.;

[0067] In this embodiment, various working parameters and state parameters are used to calculate the index value of the performance evaluation index. For example, the power consumption deviation can be calculated by voltage working parameters and current working parameters to obtain power parameters, which are then compared with preset power parameters and then the power consumption deviation is determined based on the normal ratio of power consumption and power.

[0068] The working principle of the above technical solution is: determine the application scenario and working condition parameters of the variable frequency heat pump unit, and determine multiple performance evaluation indicators based on the application scenario and working condition parameters; determine a reasonable threshold range for each performance evaluation indicator and generate standard performance indicator data based on the reasonable threshold range and store it in a preset database; detect various working parameters and state parameters of the variable frequency heat pump unit during operation and pre-process them; determine the current evaluation value of the performance evaluation indicator based on the pre-processed working parameters and state parameters, and input the current evaluation value into the preset database to determine the comprehensive performance evaluation of the variable frequency heat pump unit.

[0069] The beneficial effects of the above technical solution are as follows: by determining a plurality of performance evaluation indicators according to the working environment and working conditions of the variable frequency heat pump unit, it is possible to ensure the comprehensiveness of the performance evaluation of the variable frequency heat pump unit while ensuring the compatibility of the variable frequency heat pump unit with the working environment, thereby improving the adaptability of the product. Furthermore, by collecting various working parameters and state parameters to determine the index values ​​of the performance evaluation indicators and then conducting a multi-dimensional evaluation of the product performance, the database technology can be used to refer to standard performance data to accurately evaluate the performance of the product, thereby improving the intelligence and evaluation efficiency, while reducing the subjective interference of humans and ensuring the objectivity of the evaluation results. This solves the problem mentioned in the prior art that only the operating parameters of the variable frequency heat pump unit can be tested, and its factory performance cannot be evaluated, thereby reducing the practicality. At the same time, there is a serious subjective influence on human judgment of product qualification, and the objectivity of the product evaluation cannot be guaranteed.

[0070] In one embodiment, Figure 2 As shown, the application scenario and working condition parameters of the variable frequency heat pump unit are determined, and multiple performance evaluation indicators are determined according to the application scenario and working condition parameters, including:

[0071] Step S201, obtaining product specification parameters of the variable frequency heat pump unit, and obtaining rated performance parameters of the variable frequency heat pump unit according to the product specification parameters;

[0072] Step S202, obtaining the purpose of use and usage occasion parameters of the variable frequency heat pump unit and determining the application scenario parameters of the variable frequency heat pump unit based on the purpose of use and usage occasion parameters of the variable frequency heat pump unit;

[0073] Step S203, determining the key working condition parameters affecting the variable frequency heat pump unit according to the application scenario parameters, and determining the mapping relationship between the rated efficiency parameters and the key working condition parameters;

[0074] Step S204: determining the physical change parameter of each rated performance parameter based on the mapping relationship, and determining a plurality of performance evaluation indicators according to the physical change parameter.

[0075] The beneficial effects of the above technical solution are: by determining the mapping relationship between the rated performance parameters obtained by the product specification parameters and the key working condition parameters determined by the application scenario, a number of performance evaluation indicators are determined, which can ensure the evaluation accuracy of the evaluation indicators, enhance the accuracy of the evaluation results, and improve the efficiency of performance evaluation.

[0076] In one embodiment, determining a reasonable threshold interval for each performance evaluation indicator and generating standard performance indicator data according to the reasonable threshold interval and storing the data in a preset database includes:

[0077] Determine the main body of the collection component for each performance evaluation indicator, and detect the normal operating parameter range of each collection component main body under the normal standard working state of the variable frequency heat pump unit;

[0078] A reasonable threshold interval for each performance evaluation indicator is set according to the normal operating parameter range, and multiple stage threshold intervals corresponding to the reasonable threshold interval are obtained;

[0079] Determine a product quality index under each stage threshold interval, associate the product quality index with multiple stage threshold intervals and generate standard performance indicator data;

[0080] Determine the data format of each performance evaluation indicator data, determine the storage method according to the data format, and store the standard performance indicator data of each performance indicator in a preset database through the storage method.

[0081] The beneficial effects of the above technical solution are: detecting the normal operating parameter range of each acquisition component of the variable frequency heat pump unit under normal standard working conditions, and setting a reasonable threshold range for the evaluation index, which can ensure the accuracy of the evaluation index setting, and can ensure the safety of the variable frequency heat pump unit within a reasonable threshold range. Furthermore, combining the product quality index under the threshold range of each stage to generate standard performance indicator data and store it in a preset database can accurately reflect the performance of the product. At the same time, it ensures the accuracy of the performance indicator data storage and improves the data storage efficiency.

[0082] In one embodiment, the detecting various working parameters and state parameters of the variable frequency heat pump unit during operation and preprocessing the same include:

[0083] Determine the reference factors for each performance evaluation indicator, and detect the various working parameters and state parameters of the variable frequency heat pump unit during operation based on the reference factors;

[0084] Determine the dominant mode of each working parameter and state parameter respectively, and determine the mode type of each working parameter and state parameter according to the dominant mode;

[0085] Divide each working state parameter and state parameter according to the mode type, and obtain a dynamic parameter group and a static parameter group according to the division result;

[0086] The first classification parameter in the static data group is preprocessed by data deduplication and cleaning, the variable frequency of the second classification parameter in the dynamic parameter group is determined, and the second classification parameter is selectively preprocessed by data completion, deduplication and cleaning according to the variable frequency.

[0087] The beneficial effects of the above technical solution are: by determining the dominant mode of each working parameter, the modal type is determined and the working parameters and state parameters are divided. The division results are preprocessed in different ways and the corresponding preprocessing work can be performed according to the parameter format of different parameters, thereby ensuring data quality while also ensuring processing efficiency.

[0088] In this embodiment, the dominant mode of each working parameter and state parameter is determined respectively, including:

[0089] Obtaining the characteristic value distribution of each working parameter and state parameter, and determining the state characteristic variable of each working parameter and state parameter according to the characteristic value distribution;

[0090] Determine the variable type of each working parameter and state parameter according to the variable interval and change frequency of the state characteristic variable, wherein the variable type includes: fast variable, slow variable and constant variable;

[0091] The dominant modes of the first working parameter and the state parameter whose variable type is a fast variable are confirmed as dynamic data, and the dominant modes of the second working parameter and the state parameter whose variable type is a constant variable are confirmed as static data;

[0092] Extract the master data of the third working parameter and the state parameter whose variable type is a slow variable and construct the master data time series;

[0093] Determine multiple dividing points of steady-state linear components and dynamic nonlinear components according to the master data time series;

[0094] Obtaining boundary index values ​​of the linear component and the nonlinear component at each dividing point, and determining the numerical change amplitude characteristics between the linear component and the nonlinear component at each dividing point according to the boundary index values;

[0095] Determine the data floating rate at each dividing point according to the numerical variation amplitude characteristic, and determine the dominant characteristic root at each dividing point according to the data floating rate, wherein the dominant characteristic root includes: data dominant characteristic root and data recessive characteristic root;

[0096] According to the dominant characteristic roots at each dividing point, determine whether the dominant characteristic roots of each third working parameter and state parameter are the same and are all data implicit characteristic roots. If so, the dominant modes of the third working parameter and state parameter are confirmed as static data. If not, the dominant modes of the third working parameter and state parameter are confirmed as dynamic data.

[0097] The beneficial effects of the above technical solution are: by determining the variable situation of each working parameter and state parameter to perform a preliminary dominant modal division, static data and dynamic data can be quickly distinguished according to the numerical changes of each working parameter and state parameter. Furthermore, by performing main data analysis on slow variable data to determine the data change floating situation and floating interval to perform modal qualitative analysis, it is possible to objectively perform accurate modal division according to the floating situation of the data, avoid the occurrence of erroneous division of small floating change working parameters and state parameters, and improve stability and reliability.

[0098] In one embodiment, the current evaluation value of the performance evaluation index is determined according to the preprocessed working parameters and state parameters, and the current evaluation value is input into a preset database to determine the comprehensive performance evaluation of the variable frequency heat pump unit, including:

[0099] Calculate the current evaluation value of each performance evaluation indicator through a preset calculation method according to the pre-processed working parameters and state parameters;

[0100] Input the current evaluation value into the preset database to determine the qualification of each performance evaluation indicator, and determine the performance dimension score of the variable frequency heat pump unit based on the qualification of each performance evaluation indicator, wherein the performance dimension includes: working performance, background standby performance and power consumption performance;

[0101] The comprehensive performance evaluation of the variable frequency heat pump unit is determined based on the performance dimension scores of the variable frequency heat pump unit and its corresponding performance description parameters.

[0102] The beneficial effects of the above technical solution are: by calculating the current evaluation value of the preprocessed parameters and determining the qualification of the current evaluation value, the performance dimension score of the variable frequency heat pump unit is determined, and the comprehensive performance evaluation of the unit is determined in combination with the corresponding performance description parameters, which can improve the evaluation effect of the unit, evaluate the unit in all aspects, and ensure the normal operation and safety of the unit.

[0103] In one embodiment, this embodiment also discloses a variable frequency heat pump unit factory performance evaluation system based on a database, such as Figure 3 As shown, the system includes:

[0104] The first determination module 301 is used to determine the application scenario and working condition parameters of the variable frequency heat pump unit, and determine multiple performance evaluation indicators according to the application scenario and working condition parameters;

[0105] A generation module 302 is used to determine a reasonable threshold interval for each performance evaluation indicator and generate standard performance indicator data according to the reasonable threshold interval and store it in a preset database;

[0106] The detection module 303 is used to detect various working parameters and state parameters of the variable frequency heat pump unit during operation and pre-process them;

[0107] The second determination module 304 is used to determine the current evaluation value of the performance evaluation index according to the pre-processed working parameters and state parameters, and input the current evaluation value into a preset database to determine the comprehensive performance evaluation of the variable frequency heat pump unit.

[0108] The working principle and beneficial effects of the above technical solution have been explained in the method embodiment and will not be repeated here.

[0109] In one embodiment, Figure 4 As shown, the first determining module 301 includes:

[0110] The first determination submodule 3011 is used to obtain product specification parameters of the variable frequency heat pump unit, and obtain the rated efficiency parameters of the variable frequency heat pump unit according to the product specification parameters;

[0111] The second determination submodule 3012 is used to obtain the purpose and use occasion parameters of the variable frequency heat pump unit and determine the application scenario parameters of the variable frequency heat pump unit based on the purpose and use occasion parameters of the variable frequency heat pump unit;

[0112] The third determination submodule 3013 is used to determine the key working condition parameters affecting the variable frequency heat pump unit according to the application scenario parameters, and determine the mapping relationship between the rated efficiency parameters and the key working condition parameters;

[0113] The fourth determination submodule 3014 is used to determine the physical change parameter of each rated performance parameter based on the mapping relationship, and determine multiple performance evaluation indicators according to the physical change parameter.

[0114] In one embodiment, the generating module comprises:

[0115] The fifth determination submodule is used to determine the main body of the collection component of each performance evaluation indicator, and detect the normal operating parameter range of each main body of the collection component of the variable frequency heat pump unit under the normal standard working state;

[0116] A setting submodule is used to set a reasonable threshold interval for each performance evaluation indicator according to the normal operating parameter range, and obtain multiple stage threshold intervals corresponding to the reasonable threshold interval;

[0117] A generating submodule, for determining a product quality index under each stage threshold interval, associating the product quality index with a plurality of stage threshold intervals and generating standard performance indicator data;

[0118] The storage submodule is used to determine the data format of each performance evaluation indicator data, determine the storage method according to the data format, and store the standard performance indicator data of each performance indicator into a preset database through the storage method.

[0119] In one embodiment, the detection module includes:

[0120] The detection submodule is used to determine the reference factors of each performance evaluation index, and detect various working parameters and state parameters of the variable frequency heat pump unit during the working process according to the reference factors;

[0121] a sixth determination submodule, for determining the dominant mode of each working parameter and state parameter respectively, and determining the mode type of each working parameter and state parameter according to the dominant mode;

[0122] A division submodule is used to divide various working state parameters and state parameters according to the mode type, and obtain a dynamic parameter group and a static parameter group according to the division result;

[0123] The preprocessing submodule is used to perform data deduplication and cleaning preprocessing on the first classification parameter in the static data group, determine the variable frequency of the second classification parameter in the dynamic parameter group, and selectively perform data completion, deduplication and cleaning preprocessing on the second classification parameter according to the variable frequency.

[0124] In one embodiment, the second determining module includes:

[0125] The calculation submodule is used to calculate the current evaluation value of each performance evaluation indicator through a preset calculation method according to the preprocessed working parameters and state parameters;

[0126] A seventh determination submodule is used to input the current evaluation value into a preset database to determine the qualification of each performance evaluation indicator, and determine the performance dimension score of the variable frequency heat pump unit based on the qualification of each performance evaluation indicator, wherein the performance dimension includes: working performance, background standby performance and power consumption performance;

[0127] The eighth determination submodule is used to determine the comprehensive performance evaluation of the variable frequency heat pump unit according to the performance dimension score of the variable frequency heat pump unit and its corresponding performance description parameter.

[0128] Those skilled in the art should understand that the first and second in the present invention merely refer to different application stages.

[0129] Other embodiments of the present disclosure will be readily apparent to those skilled in the art after considering the specification and practicing the disclosure disclosed herein. This application is intended to cover any variations, uses, or adaptations of the present disclosure that follow the general principles of the present disclosure and include common knowledge or customary techniques in the art that are not disclosed in the present disclosure. The specification and examples are to be considered exemplary only, and the true scope and spirit of the present disclosure are indicated by the following claims.

[0130] It should be understood that the present disclosure is not limited to the exact structures that have been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

Claims

1. A method for evaluating the factory performance of a variable frequency heat pump unit based on a database, characterized in that: The following steps are involved: Determine the application scenarios and working condition parameters of the variable frequency heat pump unit, and determine multiple performance evaluation indicators based on the application scenarios and working condition parameters; Determine a reasonable threshold range for each performance evaluation indicator and generate standard performance indicator data based on the reasonable threshold range and store them in a preset database; Detect various working parameters and state parameters of the variable frequency heat pump unit during operation and pre-process them; The current evaluation value of the performance evaluation index is determined according to the preprocessed working parameters and state parameters, and the current evaluation value is input into a preset database to determine the comprehensive performance evaluation of the variable frequency heat pump unit.

2. The method for evaluating the factory performance of variable frequency heat pump units based on a database according to claim 1 is characterized in that: The application scenario and working condition parameters of the variable frequency heat pump unit are determined, and multiple performance evaluation indicators are determined according to the application scenario and working condition parameters, including: Obtain product specification parameters of the variable frequency heat pump unit, and obtain rated efficiency parameters of the variable frequency heat pump unit according to the product specification parameters; Obtain the purpose and use occasion parameters of the variable frequency heat pump unit and determine the application scenario parameters of the variable frequency heat pump unit based on them; Determine the key working condition parameters that affect the variable frequency heat pump unit based on the application scenario parameters, and determine the mapping relationship between the rated efficiency parameters and the key working condition parameters; The physical change parameter of each rated performance parameter is determined based on the mapping relationship, and a plurality of performance evaluation indicators are determined according to the physical change parameter.

3. The method for evaluating the factory performance of variable frequency heat pump units based on a database according to claim 1 is characterized in that: The step of determining a reasonable threshold interval for each performance evaluation indicator and generating standard performance indicator data according to the reasonable threshold interval and storing the data in a preset database includes: Determine the main body of the collection component for each performance evaluation indicator, and detect the normal operating parameter range of each collection component main body under the normal standard working state of the variable frequency heat pump unit; A reasonable threshold interval for each performance evaluation indicator is set according to the normal operating parameter range, and multiple stage threshold intervals corresponding to the reasonable threshold interval are obtained; Determine a product quality index under each stage threshold interval, associate the product quality index with multiple stage threshold intervals and generate standard performance indicator data; Determine the data format of each performance evaluation indicator data, determine the storage method according to the data format, and store the standard performance indicator data of each performance indicator in a preset database through the storage method.

4. The method for evaluating the factory performance of variable frequency heat pump units based on a database according to claim 1 is characterized in that: The detecting of various working parameters and state parameters of the variable frequency heat pump unit during operation and preprocessing thereof include: Determine the reference factors for each performance evaluation indicator, and detect the various working parameters and state parameters of the variable frequency heat pump unit during operation based on the reference factors; Determine the dominant mode of each working parameter and state parameter respectively, and determine the mode type of each working parameter and state parameter according to the dominant mode; Divide each working state parameter and state parameter according to the mode type, and obtain a dynamic parameter group and a static parameter group according to the division result; The first classification parameter in the static data group is preprocessed by data deduplication and cleaning, the variable frequency of the second classification parameter in the dynamic parameter group is determined, and the second classification parameter is selectively preprocessed by data completion, deduplication and cleaning according to the variable frequency.

5. The method for evaluating the factory performance of variable frequency heat pump units based on a database according to claim 1 is characterized in that: The method of determining the current evaluation value of the performance evaluation index according to the pre-processed working parameters and state parameters, and inputting the current evaluation value into a preset database to determine the comprehensive performance evaluation of the variable frequency heat pump unit includes: Calculate the current evaluation value of each performance evaluation indicator through a preset calculation method according to the pre-processed working parameters and state parameters; Input the current evaluation value into the preset database to determine the qualification of each performance evaluation indicator, and determine the performance dimension score of the variable frequency heat pump unit based on the qualification of each performance evaluation indicator, wherein the performance dimension includes: working performance, background standby performance and power consumption performance; The comprehensive performance evaluation of the variable frequency heat pump unit is determined based on the performance dimension scores of the variable frequency heat pump unit and its corresponding performance description parameters.

6. A variable frequency heat pump unit factory performance evaluation system based on a database, characterized in that: The system includes: The first determination module is used to determine the application scenario and working condition parameters of the variable frequency heat pump unit, and determine multiple performance evaluation indicators according to the application scenario and working condition parameters; A generation module, used to determine a reasonable threshold interval for each performance evaluation indicator and generate standard performance indicator data according to the reasonable threshold interval and store it in a preset database; The detection module is used to detect various working parameters and state parameters of the variable frequency heat pump unit during operation and pre-process them; The second determination module is used to determine the current evaluation value of the performance evaluation index according to the pre-processed working parameters and state parameters, and input the current evaluation value into a preset database to determine the comprehensive performance evaluation of the variable frequency heat pump unit.

7. The database-based variable frequency heat pump unit factory performance evaluation system according to claim 6 is characterized in that: The first determining module includes: The first determination submodule is used to obtain product specification parameters of the variable frequency heat pump unit, and obtain the rated efficiency parameters of the variable frequency heat pump unit according to the product specification parameters; The second determination submodule is used to obtain the purpose and use occasion parameters of the variable frequency heat pump unit and determine the application scenario parameters of the variable frequency heat pump unit based on the purpose and use occasion parameters of the variable frequency heat pump unit; The third determination submodule is used to determine the key working condition parameters affecting the variable frequency heat pump unit according to the application scenario parameters, and determine the mapping relationship between the rated efficiency parameters and the key working condition parameters; The fourth determination submodule is used to determine the physical change parameter of each rated performance parameter based on the mapping relationship, and determine multiple performance evaluation indicators according to the physical change parameter.

8. The database-based variable frequency heat pump unit factory performance evaluation system according to claim 6, characterized in that: The generating module comprises: The fifth determination submodule is used to determine the main body of the collection component of each performance evaluation indicator, and detect the normal operating parameter range of each main body of the collection component of the variable frequency heat pump unit under the normal standard working state; A setting submodule is used to set a reasonable threshold interval for each performance evaluation indicator according to the normal operating parameter range, and obtain multiple stage threshold intervals corresponding to the reasonable threshold interval; A generating submodule, for determining a product quality index under each stage threshold interval, associating the product quality index with a plurality of stage threshold intervals and generating standard performance indicator data; The storage submodule is used to determine the data format of each performance evaluation indicator data, determine the storage method according to the data format, and store the standard performance indicator data of each performance indicator into a preset database through the storage method.

9. The method for evaluating the factory performance of variable frequency heat pump units based on a database according to claim 1, characterized in that: The detection module comprises: The detection submodule is used to determine the reference factors of each performance evaluation index, and detect various working parameters and state parameters of the variable frequency heat pump unit during the working process according to the reference factors; a sixth determination submodule, for determining the dominant mode of each working parameter and state parameter respectively, and determining the mode type of each working parameter and state parameter according to the dominant mode; A division submodule is used to divide various working state parameters and state parameters according to the mode type, and obtain a dynamic parameter group and a static parameter group according to the division result; The preprocessing submodule is used to perform data deduplication and cleaning preprocessing on the first classification parameter in the static data group, determine the variable frequency of the second classification parameter in the dynamic parameter group, and selectively perform data completion, deduplication and cleaning preprocessing on the second classification parameter according to the variable frequency.

10. The database-based variable frequency heat pump unit factory performance evaluation system according to claim 6, characterized in that: The second determining module includes: The calculation submodule is used to calculate the current evaluation value of each performance evaluation indicator through a preset calculation method according to the preprocessed working parameters and state parameters; A seventh determination submodule is used to input the current evaluation value into a preset database to determine the qualification of each performance evaluation indicator, and determine the performance dimension score of the variable frequency heat pump unit based on the qualification of each performance evaluation indicator, wherein the performance dimension includes: working performance, background standby performance and power consumption performance; The eighth determination submodule is used to determine the comprehensive performance evaluation of the variable frequency heat pump unit according to the performance dimension score of the variable frequency heat pump unit and its corresponding performance description parameter.

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