Knowledge base-based power operation and maintenance scheduling automation operation entity extraction method and system

Knowledge base-based power operation and maintenance scheduling automation operation entity extraction method and system

The invention provides a knowledge base-based power operation and maintenance scheduling automation operation entity extraction method and system, which are used for extracting power scheduling automation operation entities and mining a potential rule of generating multi-modal data in the field of s...

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Hauptverfasser: LIN JIEFEI, GAO JUNYAN, WANG CHUNAN, CHEN JIANHONG, LIU LONGHUI, QIU JIANBIN, LYU YANGXING, LIN WENBIN, YU SIHANG, WU YIXIANG, LYU GUOSHU, ZHONG QIUTIAN, DING LINGLONG, CHEN XINQING, CHEN BIN, SHI WEIJIN, WU WEI, YANG JIAYE, ZHUANG LI, LIU BIJING, GAO JIE, CHEN SHULI, YANG XU, CHEN QUANWEI, GUO JIUYU, LI ZEKE, FAN HAIWEI, XU ZHIGUANG, CHEN HONG, KE JINFA
Format: Patent
Sprache:chi ; eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Zusammenfassung:The invention provides a knowledge base-based power operation and maintenance scheduling automation operation entity extraction method and system, which are used for extracting power scheduling automation operation entities and mining a potential rule of generating multi-modal data in the field of scheduling automation. Comprising a multi-modal data extraction module, a text extraction module based on similarity calculation and an entity labeling module based on an LDA algorithm. The text extraction module comprises a multi-modal data extraction module, and is used for preliminarily extracting text information by using different toolkits according to multi-modal data characteristics, and then obtaining high-quality text data by comprehensively considering similarity calculation methods such as editing distance and cosine similarity; the entity labeling module is used for extracting key entities in the text by using an LDA algorithm and labeling and constructing a power dispatching automation operation text kn