Method and device for analyzing online oil chromatogram fault in real time

Abstract

The invention provides a method and device for analyzing online oil chromatogram fault in real time, which comprises the following steps of: acquiring oil chromatogram data in real time; if the quantity of oil chromatogram gas components in the acquired data is beyond a preset warning value, giving an early warning; performing three-ratio-method analysis to the early warned oil chromatogram gas component data, and detecting equipment fault; and generating a quick report of exception situation of a gas-in-oil online monitoring system in real time for the equipment with the fault. The method and the device provided by the invention can perform analytic statistics quickly and effectively by unified standards without lots of manual operations, so that unnecessary human factor influence is avoided, thereby being capable of guaranteeing timeliness and accuracy of analytic statistics results in handling large amounts of online monitoring data.

Description

technical field [0001] The invention relates to an online oil chromatography fault real-time analysis method and an online oil chromatography fault real-time analysis device. Background technique [0002] At present, the domestic power grid's management methods for online monitoring of oil chromatography, such as figure 1 As shown, firstly, the online monitoring devices of each substation in each power supply bureau collect data, and then conduct oil chromatographic analysis on the collected gas data in the insulating oil data center, so as to predict possible equipment failures. However, this traditional oil chromatography analysis method has a complicated operation process, and it uses manual methods to conduct statistical analysis on the collected data, which is easily affected by human factors. When the amount of data is relatively large, oil chromatography statistics time will appear. Long, inaccurate analysis results, and inflexible statistical methods cause large err...

AI Technical Summary

Problems solved by technology

However, this traditional oil chromatography analysis method has a complicated operation process, and it uses manual methods to conduct statistical analysis on the collected data, which is easily affected by human factors. When the amount of data is relatively large, oil chromatography statistics time will appear. Long time, inaccurate analysis results, and inflexible statistical methods cause large errors and are not conducive to effective management and equipment operation safety maintenance

[0003] Therefore, when a large amount of online monitoring data is processed in the oil chromatography of the transformer, how to solve the problems of untimely statistical analysis and inaccurate conclusions caused by the traditional oil chromatography analysis method has become an urgent problem to be solved

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