CN-121980317-A - Performance evaluation method and related equipment for oil chromatography monitoring device

CN121980317ACN 121980317 ACN121980317 ACN 121980317ACN-121980317-A

Abstract

The application discloses a performance evaluation method of an oil chromatography monitoring device and related equipment, which are characterized in that an evaluation factor is calculated by acquiring multidimensional operation data such as stability, accuracy, operation and maintenance management, time attenuation and the like, and a dedicated evaluation factor matrix is generated according to model statistics, so that the limitation of a traditional single evaluation system is broken through. And the weight is determined based on the standard deviation of the evaluation factors and the product normalization of the conflict coefficients by using a critical index calculation method, so that objective weight distribution is realized and subjective deviation is avoided compared with the conventional experience weighting. Meanwhile, a dynamic reliability index model is built, operation data of the target device are input in real time, the reliability index is output by combining with a preset threshold value, the hysteresis problem of periodic verification is effectively solved, and the long-term monitoring requirement is met. In addition, the evaluation factor matrix supports differential evaluation, and breaks through the unified standard limitation. The application solves the problems of single evaluation, insufficient timeliness and lack of differentiation in the prior art, and realizes comprehensive, accurate and real-time evaluation of the performance of the oil chromatographic monitoring device.

Inventors

LIN YALI
CHEN QIQI
LI LANYIN
WANG JUNBO
WU CHAOJUN
ZHANG TAO
Tan baian
WANG ZHIJIAO
WANG YUNFEI
LI LEI
JIANG PEIDONG
ZHANG YIN
LIU SONG
TANG QI
LI GUOWEI
LIU SHAOHUI
DONG DI
LIU HAO
Lai Yanshan

Assignees

广东电网有限责任公司佛山供电局

Dates

Publication Date: 20260505
Application Date: 20260127

Claims (10)

1. A method for evaluating performance of an oil chromatography monitoring device, comprising: acquiring operation data of each oil chromatography monitoring device in a current system, and calculating evaluation factors corresponding to each oil chromatography monitoring device, including but not limited to stability evaluation factors, data accuracy evaluation factors, operation and maintenance management evaluation factors and time attenuation evaluation factors; Counting the evaluation factors according to the device model, and generating an evaluation factor matrix corresponding to each model of oil chromatography on-line monitoring device; determining a weight coefficient matrix of an evaluation factor by adopting a critical index calculation method, wherein the critical index calculation method determines the weight coefficient through the normalization of the product of the standard deviation of the evaluation factor and the conflict coefficient; establishing a device reliability index model based on the evaluation factor matrix and the weight coefficient matrix; And inputting the operation data of the target oil chromatography monitoring device into the device reliability index model to obtain the reliability index output by the reliability index model, and determining the performance evaluation result of the target oil chromatography monitoring device by combining a preset reliability threshold.
2. The method according to claim 1, wherein the stability evaluation factor is calculated by: The calculation mode of the data accuracy evaluation factor is as follows: The operation and maintenance management evaluation factor is calculated in the following way: the time attenuation evaluation factor is calculated by the following steps: Wherein, the In order to evaluate the factor of the stability, R is an operation and maintenance management evaluation factor, t is a time attenuation evaluation factor, For the number of device failures within a predetermined period of time, For a maximum number of faults to be allowed within a predetermined period of time, N is the number of samples of the check data, For the device to check the value for the ith time, Is the standard value of the laboratory oil sample, For the equipment operating costs for a predetermined period of time, For the remaining residual value of the device, For the maintenance of the frequency for a predetermined period of time, For a predetermined period of time to allow a maximum maintenance frequency, In order to keep the operating life of the vehicle, The design years for the device.
3. The method of claim 1, wherein the corresponding evaluation factor matrix for one of the models of oil chromatography on-line monitoring devices is: Wherein M is an evaluation factor matrix, As the stability evaluation factor of the nth device belonging to the same model, For the data accuracy evaluation factor of the nth device belonging to the same model, For the operation and maintenance management evaluation factors of the nth equipment belonging to the same model, For the time decay evaluation factor of the nth device belonging to the same model, The value of the evaluation factor j of the ith oil chromatograph monitoring device.
4. The method of claim 1, wherein the weight coefficient matrix is: wherein W is a weight coefficient matrix, and the standard deviation of the evaluation factor j is , For the correlation coefficients of the evaluation factor k and the evaluation factor j, In order to evaluate the coefficient of conflict of the factor j, And the weight coefficient of the evaluation factor j.
5. The method according to claim 1, wherein the reliability index model obtains a calculation formula of the reliability index of the target oil chromatography monitoring device as follows: Wherein K is a reliability index, And the evaluation factor matrix is an evaluation factor matrix of the target oil chromatography monitoring device, and W is a weight coefficient matrix.
6. The method of claim 1, wherein the preset reliability threshold comprises a first threshold and a second threshold; determining a performance evaluation result of the target oil chromatography monitoring device according to the reliability index output by the reliability index model and combining a preset reliability threshold, wherein the performance evaluation result comprises the following steps: when the reliability index is smaller than the first threshold value, judging that the performance evaluation result of the target oil chromatography monitoring device is low reliability; When the reliability index is between a first preset and a second preset, judging that the performance evaluation result of the target oil chromatography monitoring device is middle reliability, and performing reinforcement monitoring prompt; And when the reliability index is larger than the second threshold value, judging that the performance evaluation result of the target oil chromatography monitoring device is high reliability.
7. An oil chromatography monitoring device performance evaluation device, comprising: The evaluation factor unit is used for acquiring the operation data of each oil chromatography monitoring device in the current system and calculating the evaluation factors corresponding to each oil chromatography monitoring device, including but not limited to stability evaluation factors, data accuracy evaluation factors, operation and maintenance management evaluation factors and time attenuation evaluation factors; The factor matrix unit is used for counting the evaluation factors according to the device model and generating an evaluation factor matrix corresponding to each model of oil chromatograph on-line monitoring device; The weight matrix unit is used for determining a weight coefficient matrix of the evaluation factor by adopting a critical index calculation method, wherein the critical index calculation method is used for determining the weight coefficient through normalization of the product of the standard deviation of the evaluation factor and the conflict coefficient; an index model unit for establishing a device reliability index model based on the evaluation factor matrix and the weight coefficient matrix; And the evaluation result unit is used for inputting the operation data of the target oil chromatography monitoring device into the device reliability index model to obtain the reliability index output by the reliability index model, and determining the performance evaluation result of the target oil chromatography monitoring device by combining a preset reliability threshold value.
8. An oil chromatography monitoring device performance evaluation apparatus, comprising a memory and a processor; the memory is used for storing programs; The processor for executing the program to realize the respective steps of the performance evaluation method of the oil chromatography monitoring apparatus according to any one of claims 1 to 6.
9. A readable storage medium having stored thereon a computer program, which, when executed by a processor, implements the respective steps of the performance evaluation method of an oil chromatography monitoring device according to any one of claims 1-6.
10. A computer program product comprising a computer program which, when run by a processor, performs the steps of the method of evaluating performance of an oil chromatography monitoring device according to any one of claims 1-6.

Description

Performance evaluation method and related equipment for oil chromatography monitoring device Technical Field The application relates to the field of detection of oil chromatographic devices, in particular to a performance evaluation method and related equipment of an oil chromatographic monitoring device. Background The transformer is used as core equipment of a power system, and the safe and stable operation of the transformer directly relates to the reliability of a power grid. The oil chromatography on-line monitoring device provides key data for transformer fault diagnosis by analyzing the components of dissolved gas in insulating oil in real time, and is widely applied to the field of power equipment state monitoring. However, as the operational life of the device increases and environmental factors change, performance degradation problems of the monitoring device itself, such as sensor drift, communication failure, hardware aging, etc., are gradually revealed, which makes reliability and stability of output data thereof pose serious challenges. In the prior art, a single evaluation system is mainly relied on for periodic verification (such as off-line calibration) and laboratory data comparison. The system periodically collects data manually and compares the data with a standard value to judge whether the device meets the performance requirement. The method has the defects that the evaluation dimension is too single, the data accuracy is only concerned, the real performance of the device cannot be comprehensively reflected, the timeliness is serious, the periodic verification interval is long, the data abnormality or the defect caused by the sudden faults such as communication interruption, sensor burst failure and the like are difficult to capture, an effective early warning mechanism is lacking in real-time operation risk, the differentiation evaluation is lacking, the devices of different models and operation environments adopt unified evaluation standards, the individuation factors such as equipment design difference, operation and maintenance history and the like are not considered, so that a dead zone exists in the aspect of reliability judgment, the traditional method relies on experience to set index weight, the actual influence degree of each factor on the performance of the device is not scientifically quantized, and the subjectivity of an evaluation result is too strong. In view of this, the prior art is difficult to meet the performance evaluation requirement of the oil chromatography on-line monitoring device under the complex working condition, and an evaluation method of multidimensional, dynamic and differential is urgently needed, so that the reliability of the device is objectively quantized, and a scientific basis is provided for the operation and maintenance of equipment. Disclosure of Invention The application provides a performance evaluation method and related equipment of an oil chromatography monitoring device, which are characterized in that an evaluation factor is calculated by acquiring multidimensional operation data, an evaluation factor matrix is generated by statistics, a weight coefficient matrix is determined by using a critical index calculation method, and a device reliability index model is constructed, so that the operation performance of the oil chromatography online monitoring device is comprehensively evaluated. A method of evaluating performance of an oil chromatography monitoring device, comprising: acquiring operation data of each oil chromatography monitoring device in a current system, and calculating evaluation factors corresponding to each oil chromatography monitoring device, including but not limited to stability evaluation factors, data accuracy evaluation factors, operation and maintenance management evaluation factors and time attenuation evaluation factors; Counting the evaluation factors according to the device model, and generating an evaluation factor matrix corresponding to each model of oil chromatography on-line monitoring device; determining a weight coefficient matrix of an evaluation factor by adopting a critical index calculation method, wherein the critical index calculation method determines the weight coefficient through the normalization of the product of the standard deviation of the evaluation factor and the conflict coefficient; establishing a device reliability index model based on the evaluation factor matrix and the weight coefficient matrix; And inputting the operation data of the target oil chromatography monitoring device into the device reliability index model to obtain the reliability index output by the reliability index model, and determining the performance evaluation result of the target oil chromatography monitoring device by combining a preset reliability threshold. Optionally, the stability evaluation factor is calculated in the following manner: The calculation mode of the data accuracy evaluation factor is as follo