Abstract
In order to improve the information sensitivity of power transmission and transformation environment, this paper establishes the threshold alarm model of condition monitoring data of power transmission and transformation equipment based on the abnormal judgment method of business logic index. This paper extracts the necessary alarm transaction of condition monitoring data of power transmission and transformation equipment. According to the extraction results, the specific data level of authority threshold is determined by means of data cleaning, and the smooth application of power transmission and transformation equipment condition monitoring data threshold alarm model is realized. The experimental results show that, compared with the local state processing model, the accuracy of directional electronic transfer is more than 75% and the threshold can reach the standard authority threshold level. The problem of low sensitivity of original power transmission and transformation information has been effectively solved.
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