A performance evaluation method and system for oil-immersed paperboard of transformer

Abstract

The embodiment of the present invention provides a performance evaluation method and system for oil-immersed paperboard of a transformer, belonging to the technical field of transformers. The performance evaluation method comprises: obtaining multiple oil-immersed paperboards of the transformer; obtaining multiple parameters about the performance of the oil-immersed paperboards according to the multiple oil-immersed paperboards obtained; constructing a model for the performance evaluation of the oil-immersed paperboards; bringing multiple parameters of the multiple oil-immersed paperboards into the model to train the model; bringing the parameters of the existing oil-immersed paperboards into the trained model to evaluate the oil-immersed paperboards. This method can evaluate the performance of the oil-immersed paperboard of the transformer.

Description

Technical Field

[0001] The invention relates to the technical field of transformers, and in particular to a performance evaluation method and system for an oil-immersed paperboard of a transformer. Background Art

[0002] The oil-immersed paperboard of the transformer is an important part of the internal insulation structure of the transformer. It is used in conjunction with the transformer oil to form the main insulation structure of the oil-immersed power transformer, namely, oil-paper composite insulation. It has good electrical, thermal and mechanical properties and is an important condition for ensuring the safe and reliable operation of the transformer. In the prior art, there is no method for specifically testing the oil-immersed paperboard of the transformer. Therefore, a method for evaluating the performance of the oil-immersed paperboard of the transformer is needed. Summary of the invention

[0003] The purpose of the embodiments of the present invention is to provide a method and system for evaluating the performance of an oil-immersed paperboard of a transformer, wherein the method can evaluate the performance of an oil-immersed paperboard of a transformer.

[0004] In order to achieve the above object, an embodiment of the present invention provides a performance evaluation method for an oil-immersed paperboard of a transformer, the performance evaluation method comprising:

[0005] Obtain a plurality of oil-immersed paperboards of the transformer;

[0006] According to the obtained plurality of oil-impregnated paperboards, obtaining a plurality of parameters related to the performance of the oil-impregnated paperboards;

[0007] Construct a model for evaluating the performance of oil-impregnated paperboard;

[0008] Bringing multiple parameters of multiple oil-impregnated paperboards into the model to train the model;

[0009] The parameters of the existing oil-impregnated paperboard are brought into the trained model to evaluate the oil-impregnated paperboard.

[0010] Optionally, bringing multiple parameters of multiple oil-immersed paperboards into the model to train the model includes:

[0011] Acquire multiple parameters of multiple oil-impregnated paperboards;

[0012] Determining whether the parameters in the oil-immersed paperboard do not exceed corresponding preset thresholds;

[0013] When all parameters of the oil-impregnated paperboard do not exceed corresponding preset thresholds, it is determined that the oil-impregnated paperboard meets the requirements.

[0014] Optionally, bringing multiple parameters of multiple oil-immersed paperboards into the model to train the model includes:

[0015] When all parameters in the oil-impregnated paperboard do not exceed corresponding preset thresholds, it is determined that the oil-impregnated paperboard does not meet the requirements.

[0016] Optionally, bringing multiple parameters of multiple oil-immersed paperboards into the model to train the model includes:

[0017] Obtaining the oil-impregnated paperboard that meets the requirements;

[0018] Obtain multiple parameters of oil-impregnated paperboard that meets the requirements;

[0019] Classifying the parameters of the oil-impregnated paperboard;

[0020] According to the classified parameters, the mean of the parameters in each category is calculated to obtain the classification mean.

[0021] Optionally, bringing multiple parameters of multiple oil-immersed paperboards into the model to train the model includes:

[0022] Obtaining the classification mean of the parameters of each category in the oil-impregnated paperboard;

[0023] According to formula (1), the evaluation index is obtained:

[0024]

[0025] Among them, y represents the evaluation index, w i represents the evaluation parameter, x i represents the classification mean;

[0026] According to the comparison between the evaluation index and the set index, the evaluation parameters are continuously optimized to make the evaluation index more consistent with the real index parameters.

[0027] On the other hand, the present invention also provides a performance evaluation system for oil-immersed paperboard of a transformer, the performance evaluation system comprising:

[0028] A parameter acquisition unit, which acquires the parameters of the oil-immersed paperboard of the transformer;

[0029] The computing unit executes the above-mentioned method for evaluating the performance of oil-immersed paperboard of a transformer according to the parameters.

[0030] Through the above technical solution, the performance evaluation method of the oil-immersed paperboard of the transformer provided by the present invention can obtain multiple oil-immersed paperboards of the transformer, and then obtain multiple parameters about the performance of the oil-immersed paperboard according to the obtained multiple oil-immersed paperboards. The parameters can evaluate the performance of the oil-immersed paperboard. After obtaining the parameters, a model for the performance evaluation of the oil-immersed paperboard can be constructed. After obtaining the model, multiple parameters of multiple oil-immersed paperboards can be brought into the model, so that the model can be trained. After the model is trained, the parameters of the existing oil-immersed paperboard can be brought into the trained model, so that the performance of the oil-immersed paperboard can be evaluated.

[0031] Other features and advantages of the embodiments of the present invention will be described in detail in the subsequent detailed description. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] The accompanying drawings are used to provide a further understanding of the embodiments of the present invention and constitute a part of the specification. Together with the following specific implementations, they are used to explain the embodiments of the present invention, but do not constitute a limitation on the embodiments of the present invention. In the accompanying drawings:

[0033] Figure 1 is a flow chart of a method for evaluating the performance of an oil-immersed paperboard of a transformer according to one embodiment of the present invention;

[0034] Figure 2 is a flow chart of screening parameters of a method for evaluating the performance of an oil-immersed paperboard of a transformer according to one embodiment of the present invention;

[0035] Figure 3 It is a flow chart of obtaining a classification mean value of a method for evaluating the performance of an oil-immersed paperboard of a transformer according to one embodiment of the present invention;

[0036] Figure 4 It is a flowchart of a training model of a method for evaluating the performance of oil-immersed paperboard of a transformer according to one embodiment of the present invention. DETAILED DESCRIPTION

[0037] The specific implementation of the embodiment of the present invention is described in detail below in conjunction with the accompanying drawings. It should be understood that the specific implementation described here is only used to illustrate and explain the embodiment of the present invention, and is not used to limit the embodiment of the present invention.

[0038] Figure 1 The flowchart of a method for evaluating the performance of an oil-immersed paperboard of a transformer according to an embodiment of the present invention is shown in FIG. In the present invention, the process of the performance evaluation method may include:

[0039] In step S1, a plurality of oil-immersed paperboards of a transformer are obtained.

[0040] In step S2, a plurality of parameters related to the performance of the oil-impregnated paperboards are obtained based on the obtained plurality of oil-impregnated paperboards.

[0041] In step S3, a model for evaluating the performance of oil-impregnated paperboard is constructed.

[0042] In step S4, multiple parameters of multiple oil-immersed paperboards are introduced into the model to train the model.

[0043] In step S5, the parameters of the existing oil-impregnated paperboard are brought into the trained model to evaluate the oil-impregnated paperboard.

[0044] In the present invention, when evaluating the performance of the oil-immersed paperboard of the transformer, multiple oil-immersed paperboards of the transformer can be obtained first, and then multiple parameters about the performance of the oil-immersed paperboard can be obtained based on the multiple oil-immersed paperboards obtained. The multiple parameters can all affect the performance of the oil-immersed paperboard. After obtaining the parameters of the oil-immersed paperboard, a model for evaluating the performance of the oil-immersed paperboard can be constructed. After the model is constructed, the multiple parameters of the multiple oil-immersed paperboards can be brought into the model, so that the model can be trained. After the model is trained, the parameters of the existing oil-immersed paperboard can be brought into the trained model, so that the existing oil-immersed paperboard can be evaluated.

[0045] In one embodiment of the present invention, Figure 2 As shown, the process of screening parameters may include:

[0046] In step S6, a plurality of parameters of a plurality of oil-impregnated paperboards are obtained.

[0047] In step S7, it is determined whether the parameters of the oil-immersed paperboard do not exceed the corresponding preset thresholds.

[0048] In step S8, when all parameters of the oil-impregnated paperboard do not exceed corresponding preset thresholds, it is determined that the oil-impregnated paperboard meets the requirements.

[0049] In the present invention, after obtaining multiple parameters of multiple oil-immersed paperboards of the transformer, it can be determined whether the parameters in the oil-immersed paperboard do not exceed the corresponding preset thresholds. When all the parameters in the oil-immersed paperboard do not exceed the corresponding preset thresholds, it means that the performance of the oil-immersed paperboard is within the control range, and the insulation and heat dissipation effects on the transformer can be maintained, but the performance of its insulation and heat dissipation effects needs to be further evaluated. Therefore, when it is determined that the oil-immersed paperboard meets the requirements, the various parameters of the oil-immersed paperboard are retained.

[0050] In one embodiment of the present invention, Figure 2 As shown, the process of screening parameters may also include:

[0051] In step S9, when all parameters in the oil-impregnated paperboard do not exceed the corresponding preset thresholds, it is determined that the oil-impregnated paperboard does not meet the requirements.

[0052] In the present invention, when it is determined that the parameters of the oil-immersed paperboard do not all exceed the corresponding preset thresholds, it can be indicated that one or more of the multiple parameters of the oil-immersed paperboard exceeds the preset thresholds. When one or more parameters of the oil-immersed paperboard exceed the preset thresholds, it can be indicated that the oil-immersed paperboard does not meet the requirements at this time, and the insulation and heat dissipation effects on the transformer may be poor, so the parameters of the oil-immersed paperboard can be discarded. It can be known that the preset thresholds corresponding to the multiple parameters of the oil-immersed paperboard are different.

[0053] In one embodiment of the present invention, Figure 3 As shown, the process of obtaining the classification mean may include:

[0054] In step S10, oil-impregnated paperboard that meets the requirements is obtained.

[0055] In step S11, multiple parameters of oil-impregnated paperboard that meets the requirements are obtained.

[0056] In step S12, the parameters of the oil-impregnated paperboard are classified.

[0057] In step S13, the mean of the parameters in each category is calculated based on the classified parameters to obtain the classification mean.

[0058] In the present invention, when an oil-immersed paperboard that meets the requirements is obtained, multiple parameters that meet the requirements can be extracted from the oil-immersed paperboard that meets the requirements. Because multiple parameters of multiple oil-immersed paperboards are obtained, there will be multiple parameters in the same category. Therefore, after the parameters of the oil-immersed paperboards are classified, the mean of the parameters in each category can be calculated based on the classified parameters, so that the classification mean can be obtained. The classification mean can better represent the overall situation of the parameters in multiple oil-immersed paperboards.

[0059] In one embodiment of the present invention, Figure 4 As shown, the process of training the model may include:

[0060] In step S14, the classification mean of the parameters of each category in the oil-impregnated paperboard is obtained.

[0061] In step S15, the evaluation index is obtained according to formula (1).

[0062]

[0063] Among them, y represents the evaluation index, w i represents the evaluation parameter, x i represents the classification mean;

[0064] In step S16, based on the comparison between the evaluation index and the set index, the evaluation parameters are continuously optimized to make the evaluation index more consistent with the real index parameters.

[0065] In the present invention, after obtaining the classification mean of each category in the oil-impregnated paperboard, the evaluation index can be obtained according to the formula (1). By comparing the evaluation index with the set index, the evaluation parameter can be continuously optimized, so that the evaluation index can be made more consistent with the real index parameter. By continuously adjusting the evaluation parameter, different evaluation parameters can be made to correspond to evaluation parameters that are more consistent with their weights, so that the finally obtained evaluation index can be more consistent with the facts. After the model is trained, the parameters of the existing oil-impregnated paperboard can be brought into the formula (1), and different parameters correspond to different evaluation parameters, so that the evaluation index of the oil-impregnated paperboard can be obtained, and the performance of the oil-impregnated paperboard can be intuitively understood according to the evaluation index.

[0066] On the other hand, the present invention further provides a performance evaluation system for oil-immersed paperboard of a transformer, the performance evaluation system comprising: a parameter acquisition unit and a calculation unit.

[0067] The parameter acquisition unit can acquire the parameters of the oil-immersed paperboard of the transformer;

[0068] The computing unit may execute the above-mentioned method for evaluating the performance of oil-immersed paperboard of a transformer according to the parameters.

[0069] Through the above technical solution, the performance evaluation method of the oil-immersed paperboard of the transformer provided by the present invention can obtain multiple oil-immersed paperboards of the transformer, and then obtain multiple parameters about the performance of the oil-immersed paperboard according to the obtained multiple oil-immersed paperboards. The parameters can evaluate the performance of the oil-immersed paperboard. After obtaining the parameters, a model for the performance evaluation of the oil-immersed paperboard can be constructed. After obtaining the model, multiple parameters of multiple oil-immersed paperboards can be brought into the model, so that the model can be trained. After the model is trained, the parameters of the existing oil-immersed paperboard can be brought into the trained model, so that the performance of the oil-immersed paperboard can be evaluated.

[0070] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0071] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0072] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0073] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0074] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0075] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0076] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

[0077] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0078] The above are only embodiments of the present application and are not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included within the scope of the claims of the present application.

Claims

1. A method for evaluating the performance of oil-immersed paperboard of a transformer, characterized in that: The performance evaluation method comprises: Obtain a plurality of oil-immersed paperboards of the transformer; According to the obtained plurality of oil-impregnated paperboards, obtaining a plurality of parameters related to the performance of the oil-impregnated paperboards; Construct a model for evaluating the performance of oil-impregnated paperboard; Bringing multiple parameters of multiple oil-impregnated paperboards into the model to train the model; The parameters of the existing oil-impregnated paperboard are brought into the trained model to evaluate the oil-impregnated paperboard.

2. The performance evaluation method according to claim 1, characterized in that: Bringing multiple parameters of multiple oil-impregnated paperboards into the model to train the model includes: Acquire multiple parameters of multiple oil-impregnated paperboards; Determining whether the parameters in the oil-immersed paperboard do not exceed corresponding preset thresholds; When all parameters of the oil-impregnated paperboard do not exceed corresponding preset thresholds, it is determined that the oil-impregnated paperboard meets the requirements.

3. The performance evaluation method according to claim 1, characterized in that: Bringing multiple parameters of multiple oil-impregnated paperboards into the model to train the model includes: When all parameters in the oil-impregnated paperboard do not exceed corresponding preset thresholds, it is determined that the oil-impregnated paperboard does not meet the requirements.

4. The performance evaluation method according to claim 2, characterized in that: Bringing multiple parameters of multiple oil-impregnated paperboards into the model to train the model includes: Obtaining the oil-impregnated paperboard that meets the requirements; Obtain multiple parameters of oil-impregnated paperboard that meets the requirements; Classifying the parameters of the oil-impregnated paperboard; According to the classified parameters, the mean of the parameters in each category is calculated to obtain the classification mean.

5. The performance evaluation table method according to claim 4, characterized in that: Bringing multiple parameters of multiple oil-impregnated paperboards into the model to train the model includes: Obtaining the classification mean of the parameters of each category in the oil-impregnated paperboard; According to formula (1), the evaluation index is obtained: Among them, y represents the evaluation index, w i represents the evaluation parameter, x i represents the classification mean; According to the comparison between the evaluation index and the set index, the evaluation parameters are continuously optimized to make the evaluation index more consistent with the real index parameters.

6. A performance evaluation system for oil-immersed paperboard of a transformer, characterized in that: The performance evaluation system comprises: A parameter acquisition unit, which acquires the parameters of the oil-immersed paperboard of the transformer; The operation unit executes the performance evaluation method of the oil-immersed paperboard of the transformer according to any one of claims 1 to 5 according to the parameters.

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