Transformer performance evaluation method and system based on detection item data distribution law

Abstract

The transformer performance evaluation method and system based on the distribution law of the test item data determines the key evaluation parameter test items of the transformer according to the characterization content of the transformer performance by the test item data. By analyzing the distribution law of the test data of the key evaluation parameter test items of the same type of transformers, the basic evaluation base of the key evaluation parameter test items is formed, and according to the degree of deviation of the test data of the corresponding test items of the target transformer relative to the basic evaluation base, a targeted transformer performance evaluation and judgment method is formed. This method can not only characterize the overall performance status of the target transformer equipment under the current data background, but also effectively characterize the basic conditions of the key components, manufacturing processes or links of the equipment. Therefore, it can not only provide necessary technical support for the procurement management of network-connected equipment, but also help equipment manufacturers to discover the performance defects or technical shortcomings of their own equipment and take timely measures to improve product quality.

Description

Technical Field

[0001] The present invention belongs to the technical field of power equipment performance evaluation, and more specifically, relates to a transformer performance evaluation method and system based on the distribution law of detection item data. Background Art

[0002] Distribution transformers are directly facing the user end. Although the voltage level is low, the stock is large and the impact on users is more direct. Therefore, conducting grid access testing on distribution transformers is an important means to ensure product quality.

[0003] Since most of the existing research results focus on the condition maintenance, condition evaluation and fault analysis of the equipment operation link, there is little relevant research in the equipment access link. As a result, although the large amount of test data obtained before the equipment is put into operation can effectively characterize the performance of the equipment, it lacks effective analysis and application. It can neither provide the necessary technical guarantee for the material procurement of the equipment user, nor provide the necessary technical support for the equipment supplier to understand the technical shortcomings and performance defects of their own equipment. Summary of the invention

[0004] The purpose of the present invention is to overcome the shortcomings of the prior art and provide a transformer performance evaluation method and system based on the distribution law of detection item data. According to the characterization effect of the detection data of each detection item on the transformer performance, the key evaluation parameter test items of the transformer are determined, and the distribution law of the detection data of each key evaluation parameter test item is analyzed to form a targeted equipment performance evaluation method.

[0005] Provide necessary technical and data support for equipment users' bidding and procurement and equipment manufacturers' equipment production.

[0006] To achieve the above object, the present invention adopts the following technical solution:

[0007] The steps of the transformer performance evaluation method based on the distribution law of test item data are as follows:

[0008] Step 1: Build an equipment detection database based on the transformer factory and grid-connected detection data;

[0009] Step 2: According to the characterization effect of different test items on the key components of the transformer, the manufacturing technology and process conditions of the transformer, combined with the data characteristics, data types and reproducibility of the test data, determine the key evaluation parameter test items of the transformer;

[0010] Step 3: Based on the test data of the key evaluation parameter test items of the same model of equipment in the equipment test database, the distribution law of the test data is extracted to determine the basic evaluation base corresponding to all the key evaluation parameter test items of the model of equipment;

[0011] Step 4: For the target transformers whose test results of each test item are qualified, the deviation factor between the test data of its key evaluation parameter test item and the basic evaluation base is calculated, and an evaluation weight is assigned to the deviation factor to calculate the evaluation score of each single key evaluation parameter test item;

[0012] Step 5: for the target transformer, the evaluation scores of the key evaluation parameter test items representing the same key components are integrated to obtain the evaluation scores of the key components of the target transformer, and the evaluation scores of the key evaluation parameter test items representing the same manufacturing technology and process are integrated to obtain the evaluation scores of the manufacturing technology and process of the target transformer;

[0013] Step 6: Accumulate the evaluation scores of all key evaluation parameter test items of the target transformer to obtain the overall evaluation score of the target transformer based on the existing equipment detection database.

[0014] Preferably,

[0015] In step 1, the test items include: insulation resistance test, winding DC resistance test, voltage ratio test, no-load loss and no-load current percentage test, load loss and short-circuit impedance percentage test, lightning impulse insulation test, external withstand voltage insulation test, induced withstand voltage insulation test, pressure sealing test, temperature rise test, sound level test, insulating oil withstand voltage test, insulating oil dielectric loss test, and insulating oil micro-water test.

[0016] Preferably,

[0017] In step 2, the key evaluation parameter test items include: winding DC resistance measurement, no-load loss detection, load loss detection, pressure sealing test, temperature rise test, sound level detection, insulating oil withstand voltage test, insulating oil dielectric loss test and insulating oil micro-water test.

[0018] Preferably,

[0019] Step 3 includes:

[0020] Step 3.1, based on the equipment detection database, calculate the individual basic evaluation base of the jth key evaluation parameter test item of n transformers;

[0021] Step 3.2, based on the equipment inspection database, calculate all the basic evaluation bases of m key evaluation parameter test items of n transformers of the same model in the existing equipment inspection database.

[0022] Preferably,

[0023] In step 3.1, the individual basic evaluation base satisfies the following relationship:

[0024]

[0025] In the formula,

[0026] t ij represents the test data of the jth key evaluation parameter test item of the i-th transformer of the same model,

[0027] p ij It represents the distribution law of the test data of the jth key evaluation parameter test item of the i-th transformer of the same model,

[0028] in,

[0029] 1≤i≤n, where n represents the total number of transformers of the same type,

[0030] 1≤j≤m, where m represents the total number of key evaluation parameter test items.

[0031] Preferably,

[0032] In step 3.2, the overall basic evaluation base satisfies the following relationship:

[0033] C(T)=(c 1 ,c 2 ,…,c j ,…,c m )

[0034] In the formula,

[0035] c j represents the individual basic evaluation base number of the jth key evaluation parameter test item of n transformers,

[0036] T represents the test data of m key evaluation parameter test items of n transformers of the same model, and satisfies the following relationship:

[0037]

[0038] The test data of the jth key test item for n transformers of the same model is T j ; The test data of all m key test items of the i-th transformer of the same model is T i .

[0039] Preferably,

[0040] In step 4, when the i-th transformer is the target transformer, the evaluation score of the j-th key evaluation parameter test item satisfies the following relationship:

[0041] s ij =k j (c j / t ij ) 2

[0042] In the formula,

[0043] k j represents the evaluation weight of the jth key evaluation parameter test item of the target transformer,

[0044] t ij represents the test data of the jth key evaluation parameter test item of the i-th transformer of the same model,

[0045] c j It represents the individual basic evaluation cardinality of the jth key evaluation parameter test item of n transformers.

[0046] Preferably,

[0047] In step 5, for the target transformer, the evaluation scores of the key evaluation parameter test items representing the same key components are integrated to obtain the evaluation scores of the key components of the target transformer, and the evaluation scores of the key evaluation parameter test items of the same manufacturing technology and process are integrated to obtain the evaluation scores of the manufacturing technology and process of the target transformer, satisfying the following relationship:

[0048] S key =(S unit , S tech )=(s unit1 ,s unit2 ,…,s tech1 ,s tech2 , …)

[0049] In the formula,

[0050] S key Represents the evaluation integral space of the target transformer's key components and production technology level,

[0051] S unit , S tech They represent the key components and production technology level evaluation scores of the target transformer respectively.

[0052] s unit1 ,s unit2 , …represent the integrated values ​​of the evaluation scores of different key components of the target transformer,

[0053] s tech1 ,s tech2 , …represent the integrated values ​​of the evaluation scores of different manufacturing technologies and processes of the target transformer.

[0054] Preferably,

[0055] In step 6, the total evaluation score of the target transformer based on the equipment detection database satisfies the following relationship:

[0056]

[0057] In the formula,

[0058] S i It represents the evaluation score of all m key evaluation parameter test items for the i-th transformer of the same model.

[0059] Preferably,

[0060] The evaluation scores of the key test items of n transformers of the same model, including the target transformer, satisfy the following relationship:

[0061]

[0062] The evaluation score of the jth key evaluation parameter test item for n transformers of the same model is S j ; The evaluation score of all m key evaluation parameter test items of the i-th transformer of the same model is S i .

[0063] The transformer performance evaluation system based on the distribution law of test item data includes: test data acquisition module, database module, data screening module, basic evaluation cardinality calculation module, equipment multi-parameter performance evaluation module, equipment overall evaluation module, and human-computer interaction module;

[0064] Detection data collection module, used to collect detection data of various detection items of the transformer;

[0065] The database module is used for the storage and management of equipment information, test data and user information. The equipment information includes: supplier information, equipment parameters, equipment production information, etc. The test data includes: test time, test items, test basis, judgment standard, test environment, test unit, etc.

[0066] The data screening module has built-in equipment screening unit, key evaluation parameter test item screening unit and test data screening unit; the equipment screening unit is used to screen out transformers whose test results cannot meet the equipment standards and specifications; the key evaluation parameter test item screening unit is used to select and determine the key evaluation parameter test items involved in the equipment evaluation; the test data screening unit is used to screen the test data with obvious errors in the database;

[0067] The basic evaluation cardinality calculation module searches for the test data in the database module according to the equipment model, and calculates the basic evaluation cardinality of each key evaluation parameter test item based on the current equipment test database through the distribution law of the test data of each key evaluation parameter test item;

[0068] Equipment multi-parameter performance evaluation module, used to calculate the evaluation scores of each key component of the target transformer and the evaluation scores of each manufacturing technology based on the current equipment detection database;

[0069] The equipment overall evaluation module is used to calculate the performance evaluation score of the target transformer based on the current equipment detection database;

[0070] The human-computer interaction module provides operations and interfaces for human-computer interaction.

[0071] The beneficial effect of the present invention is that, compared with the prior art, it can effectively reflect the performance status of new equipment connected to the network, which can not only provide technical support for equipment manufacturers to improve their equipment technical shortcomings and improve equipment performance, but also provide necessary data guarantee for the bidding management of equipment purchasers. BRIEF DESCRIPTION OF THE DRAWINGS

[0072] Figure 1 It is a flow chart of the transformer performance evaluation method based on the distribution law of detection item data of the present invention;

[0073] Figure 2 It is a framework diagram of the transformer performance evaluation system based on the distribution law of detection item data of the present invention. DETAILED DESCRIPTION

[0074] The present application is further described below in conjunction with the accompanying drawings. The following embodiments are only used to more clearly illustrate the technical solution of the present invention, and cannot be used to limit the protection scope of the present application.

[0075] like Figure 1 As shown in the figure, the steps of the transformer performance evaluation method based on the distribution law of the detection project data are as follows:

[0076] Step 1: Build an equipment detection database based on the transformer factory and grid-connected detection data.

[0077] Specifically,

[0078] In step 1, the test items include, but are not limited to: insulation resistance test, winding DC resistance test, voltage ratio test, no-load loss and no-load current percentage test, load loss and short-circuit impedance percentage test, lightning impulse insulation test, external withstand voltage insulation test, induced withstand voltage insulation test, pressure sealing test, temperature rise test, sound level test, insulating oil withstand voltage test, insulating oil dielectric loss test, and insulating oil micro-water test.

[0079] Step 2: According to the characterization effect of different test items on the key components of the transformer, the manufacturing technology and process conditions of the transformer, combined with the data characteristics, data types and reproducibility of the test data, determine the key evaluation parameter test items of the transformer;

[0080] Specifically,

[0081] In step 2, the key evaluation parameter test items include: winding DC resistance measurement, no-load loss detection, load loss detection, pressure sealing test, temperature rise test, sound level detection, insulating oil withstand voltage test, insulating oil dielectric loss test and insulating oil micro-water test.

[0082] In this preferred embodiment,

[0083] In the insulation resistance test, winding DC resistance test, voltage ratio test, no-load loss and no-load current percentage test, load loss and short-circuit impedance percentage test, pressure sealing test, temperature rise test, sound level test, insulating oil withstand voltage test, insulating oil dielectric loss test and insulating oil micro-water test, the test data of each test item are quantitative data;

[0084] In the high-voltage insulation test, the lightning impulse insulation test, the external withstand voltage insulation test and the induction withstand voltage insulation test are all qualified based on the fact that the test voltage or current does not change suddenly under the specified test conditions. Therefore, the test data of each test item of the high-voltage insulation test (including: lightning impulse insulation test, external withstand voltage test and induction withstand voltage test) are qualitative data.

[0085] In the insulation resistance test, factors such as the test environment and the condition of the test equipment will affect the test results. The test state has poor reproducibility and the test data is highly dispersed. Therefore, the test data of the insulation resistance test is non-reproducible data;

[0086] In the winding DC resistance test, voltage ratio test, no-load loss test, load loss test, lightning impulse insulation test, external applied voltage withstand insulation test, induced voltage withstand insulation test, pressure sealing test, temperature rise test, sound level test, insulating oil voltage withstand test, insulating oil dielectric loss test and insulating oil micro-water test, the test data of each test item are reproducible data.

[0087] The voltage ratio detection, no-load current percentage detection, and short-circuit impedance percentage detection data results all express their deviation from the specified values ​​in the form of percentages, so their measured data are indirect data;

[0088] In the winding DC resistance test, no-load loss test, load loss test, lightning impulse insulation test, external applied voltage withstand insulation test, induced voltage withstand insulation test, pressure sealing test, temperature rise test, sound level test, insulating oil voltage withstand test, insulating oil dielectric loss test and insulating oil micro-water test, the test data of each test item are direct data.

[0089] Step 3: Based on the test data of the key evaluation parameter test items of the same model of equipment in the equipment test database, the distribution law of the test data is extracted to determine the basic evaluation base corresponding to all the key evaluation parameter test items of the model of equipment;

[0090] Specifically,

[0091] Step 3 includes:

[0092] Step 3.1, based on the equipment detection database, calculate the individual basic evaluation base of the jth key evaluation parameter test item of n transformers;

[0093] Specifically,

[0094] In step 3.1, the individual basic evaluation base satisfies the following relationship:

[0095]

[0096] In the formula,

[0097] t ij represents the test data of the jth key evaluation parameter test item of the i-th transformer of the same model,

[0098] p ij It represents the distribution law of the test data of the jth key evaluation parameter test item of the i-th transformer of the same model,

[0099] in,

[0100] 1≤i≤n, where n represents the total number of transformers of the same type,

[0101] 1≤j≤m, where m represents the total number of key evaluation parameter test items.

[0102] Step 3.2, based on the equipment inspection database, calculate all the basic evaluation bases of m key evaluation parameter test items of n transformers of the same model in the existing equipment inspection database.

[0103] Specifically,

[0104] In step 3.2, the overall basic evaluation base satisfies the following relationship:

[0105] C(T)=(c 1 , c 2 , …, c j , …, c m )

[0106] In the formula,

[0107] T represents the test data of m key evaluation parameter test items of n transformers of the same model, and satisfies the following relationship:

[0108]

[0109] The test data of the jth key test item for n transformers of the same model is T j; The test data of all m key test items of the i-th transformer of the same model is T i .

[0110] Step 4: For the target transformers whose test results of each test item are qualified, calculate the deviation factor between the test data of its key evaluation parameter test item and the basic evaluation base, assign an evaluation weight to the deviation factor, and calculate the evaluation score of each single key evaluation parameter test item.

[0111] Specifically,

[0112] In step 4, the evaluation score of the jth key evaluation parameter test item of the target transformer satisfies the following relationship:

[0113] s ij =k j (c j / t ij ) 2

[0114] In the formula,

[0115] k j Represents the evaluation weight of the jth key evaluation parameter test item of the target transformer.

[0116] Step 5: For the target transformer, the evaluation scores of the key evaluation parameter test items representing the same key components are integrated to obtain the evaluation scores of the key components of the target transformer, and the evaluation scores of the key evaluation parameter test items representing the same manufacturing technology and process are integrated to obtain the evaluation scores of the manufacturing technology and process of the target transformer.

[0117] Specifically,

[0118] The evaluation scores of key components, key manufacturing technologies and processes of the target transformer satisfy the following relationship:

[0119] S key =(S unit , S tech )=(s unit1 ,s unit2 ,…,s tech1 ,s tech2 , …)

[0120] In the formula,

[0121] S key Represents the evaluation integral space of the target transformer's key components and production technology level,

[0122] S unit , S tech They represent the key components and production technology level evaluation scores of the target transformer respectively.

[0123] s unit1 ,s unit2 , …represent the integrated values ​​of the evaluation scores of different key components of the target transformer,

[0124] s tech1 ,s tech2 , …represent the integrated values ​​of the evaluation scores of different manufacturing technologies and processes of the target transformer.

[0125] Step 6: Accumulate the evaluation scores of all key evaluation parameter test items of the target transformer to obtain the overall evaluation score of the target transformer based on the existing equipment detection database.

[0126] Specifically,

[0127] In step 6, the total evaluation score of the target transformer based on the equipment detection database satisfies the following relationship:

[0128]

[0129] In the formula,

[0130] S i It represents the evaluation score of all m key evaluation parameter test items for the i-th transformer of the same model.

[0131] The evaluation scores of the key test items of n transformers of the same model, including the target transformer, satisfy the following relationship:

[0132]

[0133] The evaluation score of the jth key evaluation parameter test item for n transformers of the same model is S j ; The evaluation score of all m key evaluation parameter test items of the i-th transformer of the same model is S i .

[0134] like Figure 2 ,The transformer performance evaluation system based on the distribution law of detection project data includes: detection data acquisition module, database module, data screening module, basic evaluation cardinality calculation module, equipment multi-parameter performance evaluation module, equipment overall evaluation module, and human-computer interaction module;

[0135] Detection data collection module, used to collect detection data of various detection items of the transformer;

[0136] The database module is used to store and manage equipment information, test data and user information. Equipment information includes: supplier information, equipment parameters, equipment production information, etc. Test data includes: test time, test items, test basis, judgment standard, test environment, test unit, etc.

[0137] Data screening module, with built-in equipment screening unit, key evaluation parameter test item screening unit and test data screening unit;

[0138] The equipment screening unit is used to screen out transformers whose test results cannot meet the equipment standards and specifications. The key evaluation parameter test item screening unit is used to select and determine the key evaluation parameter test items involved in the equipment evaluation. The test data screening unit is used to screen the test data with obvious errors in the database.

[0139] The basic evaluation cardinality calculation module searches for the test data in the database module according to the equipment model, and calculates the basic evaluation cardinality of each key evaluation parameter test item based on the current equipment test database through the distribution law of the test data of each key evaluation parameter test item;

[0140] Equipment multi-parameter performance evaluation module, used to calculate the evaluation scores of each key component of the target transformer and the evaluation scores of each manufacturing technology (process) based on the current equipment detection database;

[0141] The equipment overall evaluation module is used to calculate the performance evaluation score of the target transformer based on the current equipment detection database;

[0142] The human-computer interaction module provides operations and interfaces for human-computer interaction.

[0143] The beneficial effect of the present invention is that, compared with the prior art, it effectively reflects the performance status of the equipment, provides necessary technical support for the procurement management of network-connected equipment, and makes up for the missing links in the full life cycle management of existing equipment. It provides an information technology platform for equipment suppliers to help them understand the equipment status of the industry, find the performance and technical shortcomings of their own equipment, and promote the improvement of product quality on the supply side.

[0144] The applicant of the present invention has made a detailed explanation and description of the implementation examples of the present invention in conjunction with the drawings in the specification. However, those skilled in the art should understand that the above implementation examples are only preferred implementation schemes of the present invention, and the detailed description is only to help readers better understand the spirit of the present invention, but not to limit the scope of protection of the present invention. On the contrary, any improvements or modifications based on the inventive spirit of the present invention should fall within the scope of protection of the present invention.

Claims

1. A transformer performance evaluation method based on the distribution law of detection item data, characterized in that: The steps of the transformer performance evaluation method based on the distribution law of detection item data are as follows: Step 1: Build an equipment detection database based on the transformer factory and grid-connected detection data; Step 2: According to the characterization effect of different test items on the key components of the transformer, the manufacturing technology and process conditions of the transformer, combined with the data characteristics, data types and reproducibility of the test data, determine the key evaluation parameter test items of the transformer; Step 3: Based on the test data of the key evaluation parameter test items of the same model of equipment in the equipment test database, the distribution law of the test data is extracted to determine the basic evaluation base corresponding to all the key evaluation parameter test items of the model of equipment; Step 3 includes: Step 3.1, based on the equipment detection database, calculate n Transformer No. j The individual basic evaluation base of the key evaluation parameter test item; Step 3.2, based on the equipment detection database, calculate the existing equipment detection database n Transformer of the same model m The overall basic evaluation base number of the key evaluation parameter test items; The individual basic evaluation base satisfies the following relationship: In the formula, Indicates i The first transformer of the same type j Test data of key evaluation parameter test items, Indicates i The first transformer of the same type j The distribution law of the test data of key evaluation parameters test items, among which, ,in n Indicates the total number of transformers of the same type, ,in m Indicates the total number of key evaluation parameter test items; In step 3.2, the overall basic evaluation base satisfies the following relationship: In the formula, express n Transformer No. j The individual basic evaluation base of each key evaluation parameter test item, express n Transformer of the same model m The test data of the key evaluation parameter test items shall satisfy the following relationship: for n The first transformer of the same type j The test data of key test items are For the i All transformers of the same model m The test data of key test items are ; Step 4: For the target transformers whose test results of each test item are qualified, calculate the deviation factor between the test data of its key evaluation parameter test item and the basic evaluation base, assign an evaluation weight to the deviation factor, and calculate the evaluation score of each single key evaluation parameter test item; Step 4: i When the first transformer is the target transformer, j The evaluation scores of the key evaluation parameter test items satisfy the following relationship: In the formula, Indicates the target transformer j The evaluation weight of the key evaluation parameter test item, Indicates i The first transformer of the same type j Test data of key evaluation parameter test items, express n Transformer No. j The individual basic evaluation base of each key evaluation parameter test item; Step 5: For the target transformer, the evaluation scores of the key evaluation parameter test items representing the same key components are integrated to obtain the evaluation scores of the key components of the target transformer, and the evaluation scores of the key evaluation parameter test items of the same manufacturing technology and process are integrated to obtain the evaluation scores of the manufacturing technology and process of the target transformer, satisfying the following relationship: In the formula, Represents the evaluation integral space of the target transformer's key components and production technology level, They represent the key components and production technology level evaluation scores of the target transformer respectively. Respectively represent the integrated values ​​of the evaluation scores of different key components of the target transformer, They represent the integrated values ​​of the evaluation scores of different manufacturing technologies and processes of the target transformer; Step 6: Accumulate the evaluation scores of all key evaluation parameter test items of the target transformer to obtain the overall evaluation score of the target transformer based on the existing equipment detection database; the total evaluation score of the target transformer based on the equipment detection database satisfies the following relationship: In the formula, Indicates that for i All transformers of the same model m Evaluation scores of key evaluation parameter test items.

2. The transformer performance evaluation method based on the distribution law of detection item data according to claim 1 is characterized in that: In step 1, the test items include: insulation resistance test, winding DC resistance test, voltage ratio test, no-load loss and no-load current percentage test, load loss and short-circuit impedance percentage test, lightning impulse insulation test, external withstand voltage insulation test, induced withstand voltage insulation test, pressure sealing test, temperature rise test, sound level test, insulating oil withstand voltage test, insulating oil dielectric loss test, and insulating oil micro-water test.

3. The transformer performance evaluation method based on the distribution law of detection item data according to claim 1 is characterized in that: In step 2, the key evaluation parameter test items include: winding DC resistance measurement, no-load loss detection, load loss detection, pressure sealing test, temperature rise test, sound level detection, insulating oil withstand voltage test, insulating oil dielectric loss test and insulating oil micro-water test.

4. The transformer performance evaluation method based on the distribution law of detection item data according to claim 1 is characterized in that: Including the target transformer n The evaluation scores of each key test item of the same type of transformer satisfy the following relationship: for n The first transformer of the same type j The evaluation scores of the key evaluation parameter test items are For the i All transformers of the same model m The evaluation scores of the key evaluation parameter test items are .

5. The transformer performance evaluation system according to the transformer performance evaluation method based on the distribution law of detection item data according to claim 1 is characterized in that: The transformer performance evaluation system includes: a detection data acquisition module, a database module, a data screening module, a basic evaluation base calculation module, an equipment multi-parameter performance evaluation module, an equipment overall evaluation module, and a human-computer interaction module; The detection data acquisition module is used to collect detection data of various detection items of the transformer; The database module is used for storing and managing equipment information, test data and user information, wherein the equipment information includes: supplier information, equipment parameters, equipment production information, etc.; the test data includes: test time, test items, test basis, judgment standard, test environment, test unit, etc.; The data screening module has a built-in equipment screening unit, a key evaluation parameter test item screening unit and a test data screening unit; the equipment screening unit is used to screen out transformers whose test results cannot meet the equipment standards and specifications; the key evaluation parameter test item screening unit is used to select and determine the key evaluation parameter test items involved in the equipment evaluation; the test data screening unit is used to screen the test data with obvious errors in the database; The basic evaluation cardinality calculation module searches for the test data in the database module according to the equipment model, and calculates the basic evaluation cardinality of each key evaluation parameter test item based on the current equipment test database according to the distribution law of the test data of each key evaluation parameter test item; The equipment multi-parameter performance evaluation module is used to calculate the evaluation scores of each key component of the target transformer and the evaluation scores of each manufacturing technology based on the current equipment detection database; The equipment overall evaluation module is used to calculate the performance evaluation score of the target transformer based on the current equipment detection database; The human-computer interaction module provides operations and interfaces for implementing human-computer interaction.

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