CN109800492B - Material detection method and device for transformer winding and computer equipment - Google Patents
Material detection method and device for transformer winding and computer equipment Download PDFInfo
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Abstract
本申请涉及一种变压器绕组的材料检测方法、装置、计算机设备和存储介质。所述方法包括：获取变压器的容量数据和绕组尺寸数据，将变压器的容量数据和绕组尺寸数据输入评估模型中，生成评估结果。根据评估结果，获得变压器绕组的含铝概率，根据变压器绕组的含铝概率，得到变压器绕组的材料检测结果。采用本方法仅需要将变压器的容量数据和绕组尺寸数据输入评估模型中，即可获得变压器绕组的含铝概率，无需经过一系列的复杂流程以及通过手工使用专用仪器进行计算，提高了变压器绕组的含铝概率的计算效率，进一步提高了变压器绕组的材料判定效率。
The present application relates to a material detection method, device, computer equipment and storage medium for transformer windings. The method includes: acquiring capacity data and winding size data of the transformer, inputting the transformer capacity data and winding size data into an evaluation model, and generating an evaluation result. According to the evaluation results, the aluminum-containing probability of the transformer winding is obtained, and the material detection result of the transformer winding is obtained according to the aluminum-containing probability of the transformer winding. Using this method only needs to input the capacity data and winding size data of the transformer into the evaluation model to obtain the aluminum probability of the transformer winding. It does not need to go through a series of complicated processes and manually use special instruments for calculation, which improves the transformer winding's ability to contain aluminum. The calculation efficiency of aluminum-containing probability further improves the material judgment efficiency of transformer windings.
Description
Technical Field
The present application relates to the field of power technologies, and in particular, to a method and an apparatus for detecting a material of a transformer winding, a computer device, and a storage medium.
Background
With the development of power technology, power transformers are used more and more widely, and the power transformers are devices for changing an alternating current power supply by using the principle of electromagnetic induction. When a power supply office checks and accepts the dry-type transformers of distribution network dry-type transformers and users of receiving special transformers (users who purchase and use the transformers by themselves) or users check and accept the dry-type transformers by themselves, most users have a defect in transformer knowledge, so that the situation that winding materials cannot be detected correctly occurs, the situation that the received winding materials are the transformers which use aluminum to replace copper or copper clad aluminum is possible to occur, and due to the defects that the aluminum is poor in thermal stability and easy to burn out, the service life of the distribution network dry-type transformers can be greatly reduced, the safe and stable operation of the distribution network is affected, and therefore the winding materials of the transformers need to be judged so as to control the quality of the transformers and avoid affecting the stable operation of the distribution network.
In the conventional judging method, when the copper and aluminum transformers are judged, a special instrument is needed to perform experiments such as direct current resistance and the like on the dry-type transformer, the process is very complex, long time is needed to be consumed, and a special transformer user cannot use the dry-type transformer, so that the problem of low efficiency of judging the transformer winding material is caused.
Disclosure of Invention
In view of the above, it is desirable to provide a method and an apparatus for detecting a material of a transformer winding, a computer device, and a storage medium, which can improve the efficiency of determining the material of the transformer winding.
A method of material testing of a transformer winding, the method comprising:
acquiring capacity data and winding size data of a transformer;
inputting the capacity data and the winding size data of the transformer into the evaluation model to generate an evaluation result;
obtaining the aluminum-containing probability of the transformer winding according to the evaluation result;
and obtaining a material detection result of the transformer winding according to the aluminum-containing probability of the transformer winding.
In one embodiment, the winding size data includes a height size of the winding; inputting the capacity data and the winding size data of the transformer into the evaluation model to generate an evaluation result, wherein the evaluation result comprises the following steps:
inputting the capacity data of the transformer and the height size of the winding into the evaluation model;
acquiring processing logic corresponding to the capacity data of the transformer in the evaluation model;
and comparing the height size of the winding with corresponding preset parameters according to the processing logic to generate an evaluation result.
In one embodiment, the processing logic comprises first processing logic, second processing logic, third processing logic, and fourth processing logic; the evaluation results comprise a first evaluation result corresponding to the first processing logic, a second evaluation result corresponding to the second processing logic, a third evaluation result corresponding to the third processing logic, and a fourth evaluation result corresponding to the fourth processing logic; comparing the height dimension of the winding with corresponding preset parameters according to the processing logic to generate an evaluation result, wherein the evaluation result comprises the following steps:
acquiring preset parameters; the preset parameters comprise a first aluminum wire product parameter, a second aluminum wire product parameter and a third aluminum wire product parameter, and the values of the aluminum wire product parameters are reduced in sequence;
obtaining a first processing logic for generating the first evaluation result, a second processing logic for generating the second evaluation result, a third processing logic for generating the third evaluation result, and a fourth processing logic for generating the fourth evaluation result;
comparing the height dimension of the first winding with the first aluminum wire product parameter according to the first processing logic, and generating a first evaluation result when the height dimension of the winding is greater than or equal to the first aluminum wire product parameter; or
Comparing the height size distribution of the winding with first aluminum wire product parameters and second aluminum wire product parameter information according to the second processing logic, and generating a second evaluation result when the height size of the winding is smaller than the first aluminum wire product parameters and larger than the second aluminum wire product parameters; or
Comparing the height dimension of the winding with the third aluminum wire product parameter according to the third processing logic, and generating a third evaluation result when the height dimension of the winding is smaller than the third aluminum wire product parameter; or
And comparing the height dimension of the winding with the second aluminum wire product parameter and the third aluminum wire product parameter respectively according to the fourth processing logic, and generating a fourth evaluation result when the height dimension of the winding is smaller than the second aluminum wire product parameter and larger than the third aluminum wire product parameter.
In one embodiment, the method further includes setting a corresponding relationship between the evaluation result and the aluminum-containing probability value range of the transformer winding, including:
acquiring a preset aluminum-containing probability value range of a transformer winding; the aluminum-containing probability value range of the transformer winding comprises a first value range, a second value range, a third value range and a fourth value range;
and setting the first evaluation result corresponding to the first value range, the second evaluation result corresponding to the second value range, the third evaluation result corresponding to the third value range and the fourth evaluation result corresponding to the fourth value range to obtain the corresponding relation between the evaluation result and the aluminum-containing probability value range of the transformer winding.
In one embodiment, the obtaining the aluminum-containing probability of the transformer winding according to the evaluation result includes:
acquiring a first value range corresponding to the first evaluation result according to the corresponding relation between the first evaluation result and the first value range, and acquiring the aluminum-containing probability of the transformer winding; or
Acquiring a second value range corresponding to the second evaluation result according to the corresponding relation between the second evaluation result and the second value range, and obtaining the aluminum-containing probability of the transformer winding; or
Obtaining a third value range corresponding to the third evaluation result according to the corresponding relation between the third evaluation result and the third value range, and obtaining the aluminum-containing probability of the transformer winding; or
And acquiring a fourth value range corresponding to the fourth evaluation result according to the corresponding relation between the fourth evaluation result and the fourth value range, so as to obtain the aluminum-containing probability of the transformer winding.
In one embodiment, the first value range is greater than or equal to 90%, the second value range is greater than 50% and less than 90%, the third value range is less than or equal to 30%, and the fourth value range is greater than 30% and less than 70%; the obtaining the aluminum-containing probability of the transformer winding according to the evaluation result further comprises:
according to the first value range, the aluminum-containing probability of the corresponding transformer winding is more than 90%; or
According to the second value range, the aluminum-containing probability of the corresponding transformer winding is between 50% and 90%; or
According to the third value range, the aluminum-containing probability of the corresponding transformer winding is below 30%; or
And according to the fourth value range, the probability of aluminum containing of the corresponding transformer winding is between 30% and 70%.
A material detection apparatus for a transformer winding, the apparatus comprising:
the first acquisition module is used for acquiring capacity data and winding size data of the transformer;
the evaluation result generation module is used for inputting the capacity data and the winding size data of the transformer into the evaluation model to generate an evaluation result;
the aluminum-containing probability obtaining module is used for obtaining the aluminum-containing probability of the transformer winding according to the evaluation result;
and the material detection result acquisition module is used for acquiring a material detection result of the transformer winding according to the aluminum-containing probability of the transformer winding.
In one embodiment, the evaluation result generation module is further configured to:
inputting the capacity data of the transformer and the height dimension of the winding into the evaluation model;
and according to the processing logic of the evaluation model, carrying out data processing on the capacity data of the transformer and the height dimension of the winding to generate an evaluation result.
A computer device comprising a memory and a processor, the memory storing a computer program, the processor implementing the following steps when executing the computer program:
acquiring capacity data and winding size data of a transformer;
inputting the capacity data and the winding size data of the transformer into the evaluation model to generate an evaluation result;
obtaining the aluminum-containing probability of the transformer winding according to the evaluation result;
and obtaining a material detection result of the transformer winding according to the aluminum-containing probability of the transformer winding.
A computer-readable storage medium, on which a computer program is stored which, when executed by a processor, carries out the steps of:
acquiring capacity data and winding size data of a transformer;
inputting the capacity data and the winding size data of the transformer into the evaluation model to generate an evaluation result;
obtaining the aluminum-containing probability of the transformer winding according to the evaluation result;
and obtaining a material detection result of the transformer winding according to the aluminum-containing probability of the transformer winding.
According to the method, the device, the computer equipment and the storage medium for detecting the material of the transformer winding, the capacity data and the winding size data of the transformer are obtained and input into the evaluation model to generate the evaluation result, so that the aluminum-containing probability of the transformer winding can be obtained according to the evaluation result, and the material of the transformer winding is further judged according to the aluminum-containing probability of the transformer winding. The aluminum-containing probability of the transformer winding can be obtained only by inputting the capacity data and the winding size data of the transformer into the evaluation model, a series of complex processes are not needed, and a special instrument is used for calculation manually, so that the calculation efficiency of the aluminum-containing probability of the transformer winding is improved, and the material judgment efficiency of the transformer winding is further improved.
Drawings
FIG. 1 is a diagram illustrating an exemplary embodiment of a method for detecting a material of a transformer winding;
FIG. 2 is a schematic flow chart of a method for detecting material of a transformer winding according to one embodiment;
FIG. 3 is a flow diagram illustrating the manner in which evaluation results are obtained in one embodiment;
FIG. 4 is a block diagram showing a structure of a material detecting apparatus for a transformer winding according to an embodiment;
FIG. 5 is a diagram illustrating an internal structure of a computer device according to an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The method for detecting the material of the transformer winding can be applied to the application environment shown in fig. 1. Wherein the terminal 102 and the server 104 communicate via a network. The server 102 acquires the capacity data and the winding size data of the transformer corresponding to the terminal 102, and inputs the capacity data and the winding size data of the transformer into the evaluation model to generate an evaluation result. And obtaining the aluminum-containing probability of the transformer winding according to the evaluation result, and further obtaining the material detection result of the transformer winding according to the aluminum-containing probability of the transformer winding. The terminal 102 may be, but is not limited to, various personal computers, notebook computers and tablet computers, and the server 104 may be implemented by an independent server or a server cluster composed of a plurality of servers.
In one embodiment, as shown in fig. 2, a method for detecting a material of a transformer winding is provided, which is described by taking the method as an example of being applied to the server in fig. 1, and includes the following steps:
s202, the server acquires the capacity data and the winding size data of the transformer.
Specifically, the capacity data of different types of transformers are different, and the corresponding winding size data are also different, and by obtaining the product model of the transformer and the corresponding rated capacity data from the name plate of the transformer and obtaining the winding size measurement data of the transformer, for example, one rated capacity of a 10-type resin casting dry-type transformer is 315kVA, the winding size data corresponding to the transformer of the rated capacity data comprises height size data of 580mm and thickness size data of 25mm, and the other transformer of the rated capacity data of 500 kVA, the height size data of the winding is 680mm, and the thickness size data is 28 mm.
And S204, inputting the capacity data and the winding size data of the transformer into an evaluation model by the server to generate an evaluation result.
Specifically, the server inputs the capacity data of the transformer and the height size of the winding into the evaluation model, acquires processing logic corresponding to the capacity data of the transformer in the evaluation model, and compares the height size of the winding with corresponding preset parameters according to the processing logic to generate an evaluation result.
The processing logic corresponding to the evaluation model comprises a first processing logic, a second processing logic, a third processing logic and a fourth processing logic, the preset parameters comprise a first aluminum wire product parameter, a second aluminum wire product parameter and a third aluminum wire product parameter, the values of the first aluminum wire product parameter, the second aluminum wire product parameter and the third aluminum wire product parameter are sequentially reduced, and the evaluation results comprise a first evaluation result corresponding to the first processing logic, a second evaluation result corresponding to the second processing logic, a third evaluation result corresponding to the third processing logic and a fourth evaluation result corresponding to the fourth processing logic.
The first processing logic is used for comparing the height dimension of the winding with the first aluminum wire product parameter, judging the size between the height dimension of the winding and the first aluminum wire product parameter and generating a corresponding first evaluation result. And the second processing logic is used for comparing the height size distribution of the winding with the first aluminum wire product parameter and the second aluminum wire product parameter information, judging the size relation between the height size of the winding and the first and second aluminum wire product parameters and generating a corresponding second evaluation result. And the third processing logic is used for comparing the height dimension of the winding with the third aluminum wire product parameter, judging the size relation between the height dimension of the winding and the third aluminum wire product parameter and generating a corresponding third evaluation result. And the fourth processing logic shows that the height dimension of the winding is respectively compared with the second aluminum wire product parameter and the third aluminum wire product parameter, and the size relation between the height dimension of the winding and the second aluminum wire product parameter and the third aluminum wire product parameter is judged for generating a corresponding fourth evaluation result.
Further, according to the first processing logic, the height dimension of the winding is compared with the first aluminum wire product parameter, and when the height dimension of the winding is larger than or equal to the first aluminum wire product parameter, a first evaluation result is generated. And comparing the height size distribution of the winding with the first aluminum wire product parameter and the second aluminum wire product parameter information according to a second processing logic, and generating a second evaluation result when the height size of the winding is smaller than the first aluminum wire product parameter and larger than the second aluminum wire product parameter. And comparing the height dimension of the winding with the third aluminum wire product parameter according to a third processing logic, and generating a third evaluation result when the height dimension of the winding is smaller than the third aluminum wire product parameter. And comparing the height dimension of the winding with the second aluminum wire product parameter and the third aluminum wire product parameter respectively according to a fourth processing logic, and generating a fourth evaluation result when the height dimension of the winding is smaller than the second aluminum wire product parameter and larger than the third aluminum wire product parameter.
And S206, the server obtains the aluminum-containing probability of the transformer winding according to the evaluation result.
Specifically, the server obtains a first value range corresponding to the first evaluation result according to the corresponding relationship between the first evaluation result and the first value range, and obtains the aluminum-containing probability of the transformer winding. And obtaining a second value range corresponding to the second evaluation result according to the corresponding relation between the second evaluation result and the second value range, so as to obtain the aluminum-containing probability of the transformer winding. And obtaining a third value range corresponding to the third evaluation result according to the corresponding relation between the third evaluation result and the third value range, so as to obtain the aluminum-containing probability of the transformer winding. And acquiring a fourth value range corresponding to the fourth evaluation result according to the corresponding relation between the fourth evaluation result and the fourth value range, so as to obtain the aluminum-containing probability of the transformer winding.
Wherein the first value range is greater than or equal to 90%, the second value range is greater than 50% and less than 90%, the third value range is less than or equal to 30%, and the fourth value range is greater than 30% and less than 70%.
Further, the server obtains that the probability of containing aluminum of the corresponding transformer winding is more than 90% according to the first value range, obtains that the probability of containing aluminum of the corresponding transformer winding is between 50% and 90% according to the second value range, obtains that the probability of containing aluminum of the corresponding transformer winding is less than 30% according to the third value range, and obtains that the probability of containing aluminum of the corresponding transformer winding is between 30% and 70% according to the fourth value range.
And S208, the server obtains a material detection result of the transformer winding according to the aluminum-containing probability of the transformer winding.
Specifically, when the aluminum-containing probability of the corresponding transformer winding is over 90% according to the first value range, the material detection result of the corresponding transformer winding is obtained and is an aluminum wire product. And when the probability of aluminum content of the corresponding transformer winding is between 50% and 90% according to the second value range, the obtained detection result of the corresponding transformer winding is more likely to be an aluminum wire product. And when the aluminum-containing probability of the corresponding transformer winding is below 30% according to the third value range, obtaining a material detection result of the corresponding transformer winding as a copper wire product. When the aluminum-containing probability of the corresponding transformer winding is between 30% and 70% according to the fourth value range, the material detection result of the corresponding transformer winding is further judged according to other related conditions, such as the thickness and the size of the winding.
According to the method for detecting the material of the transformer winding, the capacity data and the winding size data of the transformer are obtained and input into the evaluation model to generate the evaluation result, so that the aluminum-containing probability of the transformer winding can be obtained according to the evaluation result, and the material of the transformer winding is further judged according to the aluminum-containing probability of the transformer winding. The aluminum-containing probability of the transformer winding can be obtained only by inputting the capacity data and the winding size data of the transformer into the evaluation model, a series of complex processes are not needed, and a special instrument is used for calculation manually, so that the calculation efficiency of the aluminum-containing probability of the transformer winding is improved, and the material judgment efficiency of the transformer winding is further improved.
In one embodiment, as shown in fig. 3, the step of obtaining the evaluation result is provided, that is, the step of inputting the capacity data and the winding size data of the transformer into the evaluation model to generate the evaluation result, and specifically includes the following steps S302 to S306:
and S302, the server inputs the capacity data of the transformer and the height size of the winding into an evaluation model.
S304, the server obtains processing logic corresponding to the capacity data of the transformer in the evaluation model.
Specifically, the processing logic of the evaluation model includes a first processing logic, a second processing logic, a third processing logic and a fourth processing logic, wherein the first processing logic is used for comparing the height dimension of the winding with the first aluminum wire product parameter, and judging the size between the height dimension of the winding and the first aluminum wire product parameter, so as to generate a corresponding first evaluation result. And the second processing logic is used for comparing the height size distribution of the winding with the first aluminum wire product parameter and the second aluminum wire product parameter information, judging the size relation between the height size of the winding and the first and second aluminum wire product parameters and generating a corresponding second evaluation result. And the third processing logic is used for comparing the height dimension of the winding with the third aluminum wire product parameter, judging the size relation between the height dimension of the winding and the third aluminum wire product parameter and generating a corresponding third evaluation result. And the fourth processing logic shows that the height dimension of the winding is respectively compared with the second aluminum wire product parameter and the third aluminum wire product parameter, and the size relation between the height dimension of the winding and the second aluminum wire product parameter and the third aluminum wire product parameter is judged for generating a corresponding fourth evaluation result.
And S306, comparing the height size of the winding with the corresponding preset parameter by the server according to the processing logic to generate an evaluation result.
The preset parameters comprise a first aluminum wire product parameter, a second aluminum wire product parameter and a third aluminum wire product parameter, the values of the first aluminum wire product parameter, the second aluminum wire product parameter and the third aluminum wire product parameter are sequentially reduced, and the evaluation results comprise a first evaluation result corresponding to the first processing logic, a second evaluation result corresponding to the second processing logic, a third evaluation result corresponding to the third processing logic and a fourth evaluation result corresponding to the fourth processing logic.
Specifically, the preset parameters are set from the data described in table 1 or table 2 below, and different preset parameters can be set for transformers with different rated capacity data, respectively.
For table 1, dimensional data for the aluminum conductor winding of the transformer with a rated capacity data of 315kVA, including a thickness dimension of 25mm and a height dimension of 580mm, therefore, the first aluminum wire parameter may be set to 580mm, the second aluminum wire parameter may be set to 0.85 times the first aluminum wire parameter size, i.e., 493mm, and the third aluminum wire parameter may be set to 0.7 times the first aluminum wire parameter size, i.e., 406 mm. A typical capacity resin cast dry transformer product high voltage coil size pair is shown in table 1:
table 110 type resin pouring dry type transformer typical capacity product high voltage winding parameter comparison reference table
As can be seen from Table 1, the encapsulation height of the high-voltage aluminum wire product is larger than the encapsulation thickness of the copper conductor winding 165-235 mm and is larger than the encapsulation thickness of the copper encapsulation 7-19 mm, and the difference is obvious, for the resin-cast dry-type transformer with the same rated capacity, the same voltage class and the same performance level.
Likewise, with respect to table 2, dimensional data for the aluminum conductor winding of the transformer with a rated capacity data of 200kVA, including a thickness dimension of 23mm and a height dimension of 520mm, therefore, the first aluminum wire parameter may be set to 520mm, the second aluminum wire parameter may be set to 0.85 times the first aluminum wire parameter size, i.e., 442mm, and the third aluminum wire parameter may be set to 0.7 times the first aluminum wire parameter size, i.e., 364 mm. The low-voltage coil dimensions for a typical capacity resin-cast dry-type transformer product are shown in table 2:
table 210 type resin casting dry type transformer typical capacity product low-voltage winding size comparison reference table
As can be seen from Table 2, the encapsulation height of the low-voltage aluminum wire product is larger than the encapsulation thickness of the copper conductor winding 165-235 mm and is larger than the encapsulation thickness of the copper encapsulation 7-12 mm for the resin-cast dry-type transformer with the same capacity, the same voltage class and the same performance level, and the difference is also obvious.
Further, referring to table 1, when the rated capacity data of the transformer to be detected is 315kVA, comparing the height dimension of the winding with the first aluminum wire parameter 580mm according to the first processing logic, and when the height dimension of the winding is greater than the first aluminum wire parameter 580mm, generating a first evaluation result. And comparing the height dimension of the winding with the first aluminum wire parameter 580mm and the second aluminum wire parameter 493mm respectively according to a second processing logic, and generating a second evaluation result when the height dimension of the winding is smaller than the first aluminum wire product parameter 580mm and larger than the second aluminum wire product parameter 493 mm. And comparing the height dimension of the winding with the third aluminum wire product parameter 406mm according to a third processing logic, and generating a third evaluation result when the height dimension of the winding is smaller than the third aluminum wire product parameter 406 mm. And comparing the height dimension of the winding with a second aluminum wire product parameter 493mm and a third aluminum wire product parameter 406mm respectively according to a fourth processing logic, and generating a fourth evaluation result when the height dimension of the winding is smaller than the second aluminum wire product parameter 493mm and larger than the third aluminum wire product parameter 406 mm.
Likewise, with respect to table 2, when the rated capacity data of the transformer to be tested is 200kVA, the height dimension of the winding is compared with the first aluminum wire parameter 520mm according to the first processing logic, and when the height dimension of the winding is greater than the first aluminum wire parameter 520mm, a first evaluation result is generated. And comparing the height dimension of the winding with the first aluminum wire parameter 520mm and the second aluminum wire parameter 442mm respectively according to a second processing logic, and generating a second evaluation result when the height dimension of the winding is smaller than the first aluminum wire product parameter 520mm and larger than the second aluminum wire product parameter 442 mm. And comparing the height dimension of the winding with the third aluminum wire product parameter 364mm according to a third processing logic, and generating a third evaluation result when the height dimension of the winding is smaller than the third aluminum wire product parameter 364 mm. According to a fourth processing logic, the height dimension of the winding is compared with the second aluminum wire product parameter 442mm and the third aluminum wire product parameter 364mm respectively, and when the height dimension of the winding is smaller than the second aluminum wire product parameter 442mm and larger than the third aluminum wire product parameter 364mm, a fourth evaluation result is generated.
And in the step, the capacity data of the transformer and the height size of the winding are input into the evaluation model, the processing logic corresponding to the capacity data of the transformer in the evaluation model is obtained, and the height size of the winding is compared with the corresponding preset parameter according to the processing logic to generate an evaluation result. The corresponding preset parameters are respectively set for the transformers with different capacity data, so that the comparison between the sizes of the transformer windings with different capacity data and the preset parameters is realized, a targeted evaluation result is obtained, and the material detection accuracy of the transformer windings is improved.
In one embodiment, the server further includes four processing logics, which are respectively a first processing logic, a second processing logic, a third processing logic, and a fourth processing logic, and the server may obtain different evaluation results for different processing logics, obtain a corresponding first evaluation result according to the first processing logic, obtain a corresponding second evaluation result according to the second processing logic, obtain a corresponding third evaluation result according to the third processing logic, and obtain a corresponding fourth evaluation result according to the fourth processing logic; comparing the height dimension of the winding with corresponding preset parameters according to the processing logic to generate an evaluation result, wherein the evaluation result comprises the following steps:
acquiring preset parameters; the preset parameters comprise a first aluminum wire product parameter, a second aluminum wire product parameter and a third aluminum wire product parameter, and the value of the aluminum wire product parameters is reduced in sequence;
acquiring first processing logic for generating a first evaluation result, second processing logic for generating a second evaluation result, third processing logic for generating a third evaluation result and fourth processing logic for generating a fourth evaluation result;
comparing the height dimension of the first winding with the first aluminum wire product parameter according to a first processing logic, and generating a first evaluation result when the height dimension of the winding is greater than or equal to the first aluminum wire product parameter; or
According to a second processing logic, comparing the height size distribution of the winding with the first aluminum wire product parameter and the second aluminum wire product parameter information, and generating a second evaluation result when the height size of the winding is smaller than the first aluminum wire product parameter and larger than the second aluminum wire product parameter; or
Comparing the height dimension of the winding with the third aluminum wire product parameter according to a third processing logic, and generating a third evaluation result when the height dimension of the winding is smaller than the third aluminum wire product parameter; or
And comparing the height dimension of the winding with the second aluminum wire product parameter and the third aluminum wire product parameter respectively according to a fourth processing logic, and generating a fourth evaluation result when the height dimension of the winding is smaller than the second aluminum wire product parameter and larger than the third aluminum wire product parameter.
In the steps, the corresponding preset parameters are respectively set for the transformers with different capacity data, the comparison between the sizes of the transformer windings with different capacity data and the preset parameters is realized according to different processing logics, a targeted evaluation result is obtained, and the material detection accuracy of the transformer windings is improved.
In one embodiment, a method for setting a correspondence between an evaluation result and an aluminum-containing probability value range of a transformer winding is provided, which includes:
acquiring a preset aluminum-containing probability value range of a transformer winding; the aluminum-containing probability value range of the transformer winding comprises a first value range, a second value range, a third value range and a fourth value range; and setting the first evaluation result corresponding to the first value range, the second evaluation result corresponding to the second value range, the third evaluation result corresponding to the third value range and the fourth evaluation result corresponding to the fourth value range to obtain the corresponding relation between the evaluation result and the aluminum-containing probability value range of the transformer winding.
Specifically, the first value range is greater than or equal to 90%, the second value range is greater than or equal to 50% and less than 90%, the third value range is greater than or equal to 30% and less than 70%, the first evaluation result is set to correspond to the first value range by greater than or equal to 90%, the second evaluation result is set to correspond to the second value range by greater than 50% and less than 90%, the third evaluation result is set to correspond to the third value range by less than or equal to 30%, the fourth evaluation result is set to correspond to the fourth value range by greater than 30% and less than 70%, and the corresponding relationship between the first evaluation result and the first value range, the second evaluation result and the second value range, the third evaluation result and the third value range, and the fourth evaluation result and the fourth value range is obtained.
In the above step, the first, second, third and fourth evaluation results are set to correspond to the first, second, third and fourth value ranges respectively, so that the corresponding relationship between the evaluation results and the aluminum-containing probability value ranges of the transformer winding is obtained, the situation that different aluminum-containing probabilities are obtained according to the same evaluation result is avoided, and the accuracy of the obtained aluminum-containing probability of the transformer winding is improved.
In one embodiment, there is provided a step of obtaining an aluminum-containing probability of a transformer winding based on the evaluation result, including:
acquiring a first value range corresponding to the first evaluation result according to the corresponding relation between the first evaluation result and the first value range, and obtaining the aluminum-containing probability of the transformer winding; or acquiring a second value range corresponding to the second evaluation result according to the corresponding relation between the second evaluation result and the second value range to obtain the aluminum-containing probability of the transformer winding; or acquiring a third value range corresponding to the third evaluation result according to the corresponding relation between the third evaluation result and the third value range, so as to obtain the aluminum-containing probability of the transformer winding; or obtaining a fourth value range corresponding to the fourth evaluation result according to the corresponding relationship between the fourth evaluation result and the fourth value range, so as to obtain the aluminum-containing probability of the transformer winding.
Specifically, the first value range is greater than or equal to 90%, the second value range is greater than 50% and less than 90%, the third value range is less than or equal to 30%, and the fourth value range is greater than 30% and less than 70%. According to the first value range, the aluminum-containing probability of the corresponding transformer winding is more than 90%, according to the second value range, the aluminum-containing probability of the corresponding transformer winding is between 50% and 90%, according to the third value range, the aluminum-containing probability of the corresponding transformer winding is less than 30%, and according to the fourth value range, the aluminum-containing probability of the corresponding transformer winding is between 30% and 70%.
In the above steps, according to the first, second, third and fourth evaluation results, the corresponding first, second, third and fourth value ranges are obtained respectively, the aluminum-containing probability of the transformer winding is obtained, the situation that different aluminum-containing probabilities are obtained according to the same evaluation result is avoided, and the accuracy of the obtained aluminum-containing probability of the transformer winding is improved.
In one embodiment, there is provided a step of obtaining an aluminum-containing probability of the transformer winding according to the evaluation result, further comprising:
according to the first value range, the aluminum-containing probability of the corresponding transformer winding is more than 90%; or according to the second value range, the aluminum-containing probability of the corresponding transformer winding is between 50% and 90%; or according to the third value range, the aluminum-containing probability of the corresponding transformer winding is below 30%; or according to the fourth value range, the probability of aluminum containing of the corresponding transformer winding is between 30% and 70%.
In the steps, the aluminum-containing probability of the transformer winding is respectively obtained according to the first, second, third and fourth value ranges, the aluminum-containing probability of the transformer winding is obtained in a targeted manner, and the accuracy of the obtained aluminum-containing probability of the transformer winding is improved.
In one embodiment, there is provided a method for obtaining a material detection result of a transformer winding according to an aluminum-containing probability of the transformer winding, including:
when the aluminum-containing probability of the corresponding transformer winding is over 90% according to the first value range, obtaining a material detection result of the corresponding transformer winding as an aluminum wire product; when the aluminum-containing probability of the corresponding transformer winding is between 50% and 90% according to the second value range, the obtained detection result of the corresponding transformer winding is more likely to be an aluminum wire product; when the aluminum-containing probability of the corresponding transformer winding is below 30% according to the third value range, the material detection result of the corresponding transformer winding is obtained and is a copper wire product; when the aluminum-containing probability of the corresponding transformer winding is between 30% and 70% according to the fourth value range, the material detection result of the corresponding transformer winding is further judged according to other related conditions, such as the thickness and the size of the winding.
According to the steps, the material detection result of the transformer winding can be directly obtained according to the obtained aluminum-containing probability of the transformer winding, whether the material of the transformer winding belongs to the aluminum conductor winding or the copper conductor winding can be known, a series of complex processes are not needed, and the calculation is carried out manually by using a special instrument, so that the material judgment efficiency of the transformer winding is improved.
It should be understood that although the various steps in the flow charts of fig. 2-3 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least some of the steps in fig. 2-3 may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, and the order of performance of the sub-steps or stages is not necessarily sequential, but may be performed in turn or alternating with other steps or at least some of the sub-steps or stages of other steps.
In one embodiment, as shown in fig. 4, there is provided a material detecting apparatus of a transformer winding, including: a first obtaining module 402, an evaluation result generating module 404, an aluminum-containing probability obtaining module 406, and a material detection result obtaining module 408, wherein:
a first obtaining module 402, configured to obtain capacity data and winding size data of the transformer.
And an evaluation result generation module 404, configured to input the capacity data and the winding size data of the transformer into an evaluation model to generate an evaluation result.
And the aluminum-containing probability obtaining module 406 is configured to obtain an aluminum-containing probability of the transformer winding according to the evaluation result.
And the material detection result obtaining module 408 is configured to obtain a material detection result of the transformer winding according to the probability that the transformer winding contains aluminum.
According to the material detection device for the transformer winding, the capacity data and the winding size data of the transformer are obtained and input into the evaluation model to generate the evaluation result, so that the aluminum-containing probability of the transformer winding can be obtained according to the evaluation result, and the material of the transformer winding is further judged according to the aluminum-containing probability of the transformer winding. The aluminum-containing probability of the transformer winding can be obtained only by inputting the capacity data and the winding size data of the transformer into the evaluation model, a series of complex processes are not needed, and a special instrument is used for calculation manually, so that the calculation efficiency of the aluminum-containing probability of the transformer winding is improved, and the material judgment efficiency of the transformer winding is further improved.
In one embodiment, an evaluation result generation module is provided, further configured to:
inputting the capacity data of the transformer and the height size of the winding into an evaluation model; acquiring processing logic corresponding to the capacity data of the transformer in the evaluation model; and comparing the height dimension of the winding with the corresponding preset parameters according to the processing logic to generate an evaluation result.
The evaluation result generation module inputs the capacity data of the transformer and the height size of the winding into the evaluation model, acquires the processing logic corresponding to the capacity data of the transformer in the evaluation model, and compares the height size of the winding with the corresponding preset parameters according to the processing logic to generate an evaluation result. The corresponding preset parameters are respectively set for the transformers with different capacity data, so that the comparison between the sizes of the transformer windings with different capacity data and the preset parameters is realized, a targeted evaluation result is obtained, and the material detection accuracy of the transformer windings is improved.
In one embodiment, an evaluation result generating module is provided, which further includes an alignment unit configured to:
acquiring preset parameters; the preset parameters comprise a first aluminum wire product parameter, a second aluminum wire product parameter and a third aluminum wire product parameter, and the value of the aluminum wire product parameters is reduced in sequence; acquiring first processing logic for generating a first evaluation result, second processing logic for generating a second evaluation result, third processing logic for generating a third evaluation result and fourth processing logic for generating a fourth evaluation result;
comparing the height dimension of the first winding with the first aluminum wire product parameter according to a first processing logic, and generating a first evaluation result when the height dimension of the winding is greater than or equal to the first aluminum wire product parameter; or according to a second processing logic, comparing the height size distribution of the winding with the first aluminum wire product parameter and the second aluminum wire product parameter information, and generating a second evaluation result when the height size of the winding is smaller than the first aluminum wire product parameter and larger than the second aluminum wire product parameter; or according to a third processing logic, comparing the height dimension of the winding with the third aluminum wire product parameter, and generating a third evaluation result when the height dimension of the winding is smaller than the third aluminum wire product parameter; or according to a fourth processing logic, the height dimension of the winding is compared with the second aluminum wire product parameter and the third aluminum wire product parameter respectively, and when the height dimension of the winding is smaller than the second aluminum wire product parameter and larger than the third aluminum wire product parameter, a fourth evaluation result is generated.
The evaluation result generation module respectively sets corresponding preset parameters for the transformers with different capacity data, realizes comparison between the sizes of the transformer windings with different capacity data and the preset parameters according to different processing logics, obtains targeted evaluation results, and improves the material detection accuracy of the transformer windings.
In one embodiment, there is provided a material detection apparatus for a transformer winding, further comprising a setting module for:
acquiring a preset aluminum-containing probability value range of a transformer winding; the aluminum-containing probability value range of the transformer winding comprises a first value range, a second value range, a third value range and a fourth value range; and setting the first evaluation result corresponding to the first value range, the second evaluation result corresponding to the second value range, the third evaluation result corresponding to the third value range and the fourth evaluation result corresponding to the fourth value range to obtain the corresponding relation between the evaluation result and the aluminum-containing probability value range of the transformer winding.
According to the material detection device for the transformer winding, the first evaluation result, the second evaluation result, the third evaluation result and the fourth evaluation result are respectively corresponding to the first value range, the second evaluation result, the third evaluation result and the fourth evaluation result, the corresponding relation between the evaluation result and the aluminum-containing probability value range of the transformer winding is obtained, the situation that different aluminum-containing probabilities are obtained according to the same evaluation result is avoided, and the accuracy of the obtained aluminum-containing probability of the transformer winding is improved.
In one embodiment, an aluminum-containing probability acquisition module is provided and is further configured to:
acquiring a first value range corresponding to the first evaluation result according to the corresponding relation between the first evaluation result and the first value range, and obtaining the aluminum-containing probability of the transformer winding; or acquiring a second value range corresponding to the second evaluation result according to the corresponding relation between the second evaluation result and the second value range to obtain the aluminum-containing probability of the transformer winding; or acquiring a third value range corresponding to the third evaluation result according to the corresponding relation between the third evaluation result and the third value range, so as to obtain the aluminum-containing probability of the transformer winding; or obtaining a fourth value range corresponding to the fourth evaluation result according to the corresponding relationship between the fourth evaluation result and the fourth value range, so as to obtain the aluminum-containing probability of the transformer winding.
The aluminum-containing probability obtaining module obtains the corresponding first, second, third and fourth value ranges respectively according to the first, second, third and fourth evaluation results, obtains the aluminum-containing probability of the transformer winding, avoids the situation that different aluminum-containing probabilities are obtained according to the same evaluation result, and improves the accuracy of the obtained aluminum-containing probability of the transformer winding.
In one embodiment, an aluminum-containing probability acquisition module is provided and is further configured to:
according to the first value range, the aluminum-containing probability of the corresponding transformer winding is more than 90%; or according to the second value range, the aluminum-containing probability of the corresponding transformer winding is between 50% and 90%; or according to the third value range, the aluminum-containing probability of the corresponding transformer winding is below 30%; or according to the fourth value range, the probability of aluminum containing of the corresponding transformer winding is between 30% and 70%.
The aluminum-containing probability obtaining module obtains the aluminum-containing probability of the transformer winding according to the first, second, third and fourth value ranges, the aluminum-containing probability of the transformer winding is obtained in a targeted mode, the aluminum-containing probability of the transformer winding is obtained, and the accuracy of the obtained aluminum-containing probability of the transformer winding is improved.
In one embodiment, a material detection result obtaining module is provided, and is further configured to:
and when the aluminum-containing probability of the corresponding transformer winding is over 90% according to the first value range, obtaining a material detection result of the corresponding transformer winding as an aluminum wire product. When the aluminum-containing probability of the corresponding transformer winding is between 50% and 90% according to the second value range, the detection result of the corresponding transformer winding is more likely to be an aluminum wire product. And when the aluminum-containing probability of the corresponding transformer winding is below 30% according to the third value range, obtaining a material detection result of the corresponding transformer winding as a copper wire product. When the aluminum-containing probability of the corresponding transformer winding is between 30% and 70% according to the fourth value range, the material detection result of the corresponding transformer winding is represented, and further judgment needs to be performed according to other relevant conditions, such as the thickness and the size of the winding.
The material detection result acquisition module can directly obtain the material detection result of the transformer winding according to the obtained aluminum-containing probability of the transformer winding, and can know whether the material of the transformer winding belongs to the aluminum conductor winding or the copper conductor winding, so that a series of complex processes are not needed, and calculation is performed by using a special instrument manually, and the material judgment efficiency of the transformer winding is improved.
The specific definition of the material detection device for the transformer winding can be referred to the definition of the material detection method for the transformer winding, and is not described herein again. The modules in the material detection device for the transformer winding can be wholly or partially realized by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a server, the internal structure of which may be as shown in fig. 5. The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The database of the computer device is used for storing transformer capacity data and winding size data. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a method of material detection of a transformer winding.
Those skilled in the art will appreciate that the architecture shown in fig. 5 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is provided, comprising a memory storing a computer program and a processor implementing the steps of the above-described method embodiments when the processor executes the computer program.
In an embodiment, a computer-readable storage medium is provided, on which a computer program is stored, which computer program, when being executed by a processor, carries out the steps of the respective method embodiment as described above.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware related to instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above examples only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that several transformer forms and modifications can be made by one skilled in the art without departing from the spirit of the present application, and these are all within the scope of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (8)
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| CN104677927A (en) * | 2015-03-10 | 2015-06-03 | 国网四川省电力公司电力科学研究院 | Distribution transformer winding material detection system and method |
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| WO2005091004A1 (en) * | 2004-03-23 | 2005-09-29 | Univ British Columbia | Electric winding displacement detection method and apparatus |
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| CN104677927A (en) * | 2015-03-10 | 2015-06-03 | 国网四川省电力公司电力科学研究院 | Distribution transformer winding material detection system and method |
| CN105784959A (en) * | 2016-03-04 | 2016-07-20 | 云南电网有限责任公司电力科学研究院 | Distribution transformer winding material detection method |
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