A processing method and system for power equipment to monitor abnormal data in online manner

A technology for abnormal data and power equipment, applied in the fields of electrical digital data processing, special data processing applications, digital data information retrieval, etc., can solve the problems of data mutation, inability to analyze and use original data, low data quality, etc. data, improve the effectiveness of the data collection and upload process

Active Publication Date: 2019-05-17
STATE GRID HUNAN ELECTRIC POWER +2
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Problems solved by technology

[0003] However, the currently acquired real-time data has prominent problems such as data mutation and partial data missing. These problems make the quality of the collected data low, and the original data cannot be further analyzed and used directly.
At the same time, at this stage, power grid staff lack statistics and understanding of the reasons for the abnormal data generated by online monitoring, and cannot effectively reduce the generation of these abnormal data from the source

Method used

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  • A processing method and system for power equipment to monitor abnormal data in online manner
  • A processing method and system for power equipment to monitor abnormal data in online manner
  • A processing method and system for power equipment to monitor abnormal data in online manner

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Embodiment Construction

[0036] In the following, in conjunction with the accompanying drawings and preferred embodiments, the detailed implementation, features and effects of the processing method for online monitoring of abnormal data of electric power equipment and hair washing according to the present invention are described in detail as follows.

[0037] Such as figure 1 As shown, the implementation steps of the processing method for online monitoring abnormal data of electric equipment in this embodiment include:

[0038] 1) Perform abnormal data location analysis on the original data set obtained from online monitoring of electric power equipment, select to clear abnormal data according to the abnormal data location analysis results, and then fill in missing values ​​based on DBSCAN clustering algorithm to complete data cleaning or abnormal data cleaning method based on association rules Complete data cleaning;

[0039] 2) Calculating the values ​​of various data quality indicators in the pres...

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Abstract

The invention discloses a processing method and system for power equipment to monitor abnormal data in an online manner. The method comprises the following implementation steps of carrying out abnormal data positioning analysis on an original data set, and selecting a DBSCAN clustering algorithm to carry out missing value filling to complete data cleaning or an abnormal data cleaning method basedon an association rule to complete data cleaning; calculating each data quality index value in a preset data quality evaluation system, and generating a data quality evaluation report; and displayingand outputting an abnormal data positioning analysis result and a data quality evaluation report. According to the invention, the accurate and effective cleaning of abnormal data can be realized; thecleaning effect is good, the visual display of the data quality before and after data cleaning can be realized, the proportion and the reason of abnormal data generation are statistically displayed, power grid workers can take corresponding measures to improve the data acquisition and uploading process, and the generation of abnormal data is reduced from the source, so that the workload of data processing is reduced, and the working efficiency and the accuracy are improved.

Description

technical field [0001] The invention relates to an online monitoring technology of electric power equipment, in particular to a processing method and system for abnormal data of online monitoring of electric power equipment. Background technique [0002] In order to ensure the reliability and safety of equipment operation, it is necessary to obtain the health status of power equipment in real time. The main means to realize condition monitoring is to use the online monitoring device to continuously measure the key characteristic parameters reflecting the operation status of the equipment, such as dissolved gas in oil, local oil temperature and other data. With the continuous development of online monitoring technology, how to effectively process a large number of multi-source heterogeneous data of power equipment is a new problem that power companies need to face. [0003] However, the currently acquired real-time data has prominent problems such as data mutation and partia...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/215G01R31/00
Inventor 谢耀恒赵世华陈骏星溆雷红才黄海波叶会生王永元李凯
Owner STATE GRID HUNAN ELECTRIC POWER
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