Power production equipment fault and hidden danger intelligent diagnosis method and system based on knowledge graph

• Main Authors: MU JINGLONG, YANG XUXIN, YE DEWU, JIN SHUANGYUAN, WANG ZHENHAO, ZHANG XIN, LU TIANFENG, ZHANG DAYONG, WANG GANG, GAO SONG, CAO FEIYI, LI TIANNING, LOU ZHANHAO, SUN JIAN, DING YIXIN
• Format: Patent
• Language: Chinese; English
• Published: 29.03.2024
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; ELECTRIC DIGITAL DATA PROCESSING; PHYSICS

The invention discloses an electric power production equipment fault and hidden danger intelligent diagnosis method and system based on a knowledge graph. The method comprises the following steps: constructing an electric power production equipment fault knowledge graph; fault severity grade identification is carried out on the fault alarm information, and sorting is carried out according to fault treatment; preprocessing the to-be-processed fault texts by adopting the vector space model according to the fault treatment sequence to obtain feature items, and performing vectorization expression; weighting the vectorized feature items, and obtaining a fault diagnosis result by using a similarity calculation method in combination with the constructed knowledge graph; the system comprises an electric power production equipment fault knowledge graph, a fault severity level identification module and an equipment fault intelligent diagnosis module, according to a fault treatment sequence, feature items obtained after