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Big data analysis-based SF6 (sulfur hexafluoride) gas leakage online early warning platform

A technology of gas leakage and big data, applied in the fields of instruments, reasoning methods, character and pattern recognition, etc., can solve the problems of unable to exert data value, unable to collect and analyze leaked data, etc.

Inactive Publication Date: 2015-02-11
STATE GRID CORP OF CHINA +1
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  • Abstract
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Problems solved by technology

However, purely using infrared imaging for leak detection cannot conduct online summary analysis of leak data, and cannot give full play to the value of data

Method used

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  • Big data analysis-based SF6 (sulfur hexafluoride) gas leakage online early warning platform
  • Big data analysis-based SF6 (sulfur hexafluoride) gas leakage online early warning platform
  • Big data analysis-based SF6 (sulfur hexafluoride) gas leakage online early warning platform

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Embodiment Construction

[0043] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0044] The system developed by this project summarizes, analyzes and compares the detection data at the main station, which can discover the law of leakage and equipment family defects, and can give early warning of high-risk equipment, parts and time, so that the detection can be targeted, strengthen the detection of high-risk equipment, and improve Fault discovery rate, reduced due to checking SF 6 A lot of manpower and machine tool costs due to gas leakage.

[0045]This project aims at the detection of unstructured data such as infrared thermal images in the detection of substation equipment, researches typical faults of substation equipment and analysis of infrared thermal image data, extracts relevant feature information, and develops the summary, storage and online analysis of infrared thermal image detection data technology, and finally build SF...

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Abstract

The invention discloses a big data analysis-based SF6 (sulfur hexafluoride) gas leakage online early warning platform. According to unstructured data detection on infrared thermography and the like in power transformer equipment, typical failures of the power transformer equipment are studied, data analysis on the infrared thermography is performed, related characteristic information is extracted, summarization, storage and online analysis technology on the detection data of the infrared thermography is developed, and a big data analysis-based SF6 gas leakage online early warning system is finally built. A leakage occurrence rule and equipment family defects can be found by the platform, the equipment with high risk, the part with high risk and the time of high risk can be early warned, and detection is targeted; the detection on the equipment with high risk is reinforced, the failure discovery rate is improved, and a large amount of manpower and a large amount of machine and tool cost caused by checking SF6 gas leakage are reduced; fusion diagnosis on multivariate data of the power transformer equipment is performed through a DS (data set) evidence theory, the SF6 gas state of the power transformer equipment is effectively identified, an identification result is output, and early warning is performed online.

Description

technical field [0001] The invention relates to a SF based on big data analysis 6 Gas leak online early warning platform. Background technique [0002] SF 6 The gas has stable physical and chemical properties, excellent insulation properties and excellent arc extinguishing properties, and is widely used in high-voltage electrical equipment. With the development of the power grid, the power system adopts a large number of SF 6 Electrical equipment in which gas is used as an insulating medium. With the progress of the society and the development of the economy, people's requirements for the reliability of power supply continue to increase. The substation equipment has been operating in the field for many years. Affected by weather conditions and the aging of sealing equipment, SF 6 Gas may leak causing potential equipment failure. Therefore, guaranteed in SF 6 It is increasingly important for the safe operation of insulating gas equipment. [0003] for SF 6 For gas lea...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62
CPCG06N5/047G06F18/256
Inventor 黄金鑫牛林战杰姜杨马梦朝崔金涛何登森鲁国涛
Owner STATE GRID CORP OF CHINA
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