Capacitor equipment online monitoring method and system based on artificial intelligence

• Main Authors: CHEN MING, MA JINLIANG, FAN ZHAOKAI, ZHOU QI, ZHANG JIPING, MA DEYU, ZHOU YUE, WAN WEI, LIU JINGSHENG, HUANG ZONGFENG, LIU XIAOWEI, LI DAWEI, CHEN FANG, WANG SHUYANG, ZHANG YAN, XIA JIANWEI, LI JIANGTAO, YAN SHENG, LI HONGLONG, KONG LIN, ZHANG JUN, WANG HUAJIA, GUO RAN, GENG SHUAI, WANG LU, LI FUYAN, XU FENGQI, LI SHENGSHENG, ZHANG MIN, LIU FEI, ZHAO JIANXIN, LI GONGWEN, ZHAO YONG, XU YANYAN, LI MINGMING, SU YONGZHI, HU LI
• Format: Patent
• Language: Chinese; English
• Published: 22.03.2024
• Subjects: ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVEREDIN A SINGLE OTHER SUBCLASS; CALCULATING; COMPUTING; COUNTING; ELECTRIC DIGITAL DATA PROCESSING; MEASURING; MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES; MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR; PHYSICS; TARIFF METERING APPARATUS; TESTING

The invention belongs to the technical field of fault monitoring, and discloses a capacitor equipment online monitoring method and system based on artificial intelligence. Acquiring m groups of historical equipment operation data; the historical equipment operation data comprises harmonic data, vibration data, gas data, magnetic field data, temperature data and a capacitor image; calculating a harmonic coefficient, a vibration coefficient, a gas coefficient and a temperature coefficient corresponding to the historical equipment operation data; calculating an environment coefficient and an operation coefficient corresponding to the historical equipment operation data; training a surface analysis model for analyzing whether the surface of the capacitor is normal or not based on the capacitor image; acquiring equipment operation data in real time, calculating a corresponding environment coefficient and an operation coefficient, inputting a real-time capacitor image into the surface analysis model, and analyzing