Open AccessAn Intelligent Threshold Alarm Model Based on Abnormal Judgment of Logic Indicators
Author(s) -
Jianhua Z. Huang,
Xinlin Liu
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1982/1/012118
Subject(s) - alarm , transformation (genetics) , sensitivity (control systems) , computer science , transmission (telecommunications) , data transmission , power (physics) , false alarm , power transmission , real time computing , electronic engineering , threshold model , database transaction , reliability engineering , data mining , telecommunications , artificial intelligence , engineering , electrical engineering , computer hardware , database , biochemistry , chemistry , physics , quantum mechanics , machine learning , gene
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.