Electric power efficiency scenarized extraction model and method based on knowledge graph technology and auxiliary system

• Main Authors: CHEN ZHAOLI, ZHANG LIYUAN, PAN LITING, DONG YUN, CHEN LU, WANG LICHAO, AI XUHUA, QIN XIN, ZHANG XIXIANG, YANG LONGWEN, GUI YUFENG, XIE JING, DAI YING, WEI GUOHUI, WANG QIFEN
• Format: Patent
• Language: Chinese; English
• Published: 30.06.2023
• Subjects: CALCULATING; 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

The invention discloses an electric power efficiency scenarized extraction model and method based on a knowledge graph technology and an auxiliary system, and the method comprises the steps: S1, determining the organization structure layout of an electric power system, collecting the organization structure data of the system, and processing the data into a target text; s2, identifying a target text, and obtaining an entity and an entity relationship; s3, adding codes to the entities and the entity relationship, performing argument classification according to the semantic meaning and the coding relationship of each entity, and determining each power path in the system; s4, determining an application scene of the power path, obtaining scene elements, and realizing efficiency scenarized layout according to the scene elements; s5, constructing a power system knowledge graph in the scene efficiency; and S6, extracting the power efficiency of each scene according to the knowledge graph, and carrying out efficiency