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Power equipment state evaluation method based on big data analysis

A state assessment and power equipment technology, applied in data processing applications, electrical digital data processing, digital data information retrieval, etc., can solve the problems of raw data data cleaning, inability to obtain evaluation results quickly, and inability to integrate multi-source data. To achieve the effect of state evaluation

Pending Publication Date: 2020-10-13
GUANGDONG POWER GRID CO LTD +1
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  • Abstract
  • Description
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  • Application Information

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Problems solved by technology

However, the above scheme cannot fuse the multi-source data of condition monitoring, and does not clean the original data, resulting in a large amount of calculation for the above scheme, and it is impossible to quickly obtain accurate evaluation results

Method used

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  • Power equipment state evaluation method based on big data analysis
  • Power equipment state evaluation method based on big data analysis
  • Power equipment state evaluation method based on big data analysis

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Embodiment

[0016] An embodiment of the method for evaluating the status of electric equipment based on big data analysis of the present invention includes the following steps:

[0017] S10. Based on the research and analysis of the current transmission line condition monitoring technology, establish a basic parameter system suitable for the condition assessment of the transmission line as a whole and the basic unit condition assessment; remove the parameters that are less correlated with fault defects, and retain the highly correlated parameters , to build a key parameter system for state assessment;

[0018] S20. Check the quality of the data in the key parameter system in step S10, and perform data cleaning when the quality of the data does not meet the requirements;

[0019] S30. Establish a data analysis model, use the correlation between the longitudinal data and the horizontal data to judge the abnormal changes of the equipment state and its relationship, and detect the equipment a...

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Abstract

The invention relates to the technical field of power monitoring, in particular to a big data analysis-based power equipment state evaluation method, which comprises the following steps of S10, determining a basic parameter system; removing parameters with small correlation with the fault defects, and constructing a key parameter system for state evaluation; S20, checking the quality of the data in the key parameter system, and conducting data cleaning work when the quality of the data does not meet the requirement; S30, judging the equipment state and the abnormal change of the association relationship of the equipment state by utilizing the correlation, and carrying out equipment abnormality detection by analyzing the association relationship and the change rule of the multi-dimensionalstate data; and S40, screening out the abnormal key performance according to the related characteristic parameters of the power transmission and transformation equipment, and obtaining the evaluationvalue of each key performance. Fusion analysis and deep mining are performed on the multi-source data of power equipment state monitoring so that rapid detection and personalized state evaluation of an abnormal state can be realized, and the health state of the key performance can be comprehensively, timely and accurately mastered.

Description

technical field [0001] The present invention relates to the technical field of power monitoring, and more specifically, to a method for evaluating the status of power equipment based on big data analysis. Background technique [0002] With the construction and development of smart grid and the maturity of sensor technology and condition monitoring technology, grid data is growing explosively. In recent years, the popularization and application of big data technology, which has become increasingly mature, has gradually integrated and shared the status monitoring data of power transmission and transformation equipment, as well as data such as power grid operation and meteorological environment, which are closely related to the state of the equipment, and promoted the status of power transmission and transformation equipment. Evaluation and fault diagnosis are developed in the direction of information integration and comprehensive analysis based on panoramic condition monitorin...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q50/06G06F16/215G06F16/2458G06K9/62
CPCG06Q10/0639G06Q50/06G06F16/215G06F16/2465G06F18/23213
Inventor 雷小月周锋王升方义治曾志华李鹏王强鲁晓一黄毓华仇炜梁育雄黄汉贤王松楠
Owner GUANGDONG POWER GRID CO LTD
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