ORIGINAL RESEARCH article
Front. Big Data
Sec. Data Mining and Management
Volume 8 - 2025 | doi: 10.3389/fdata.2025.1603106
Conceptual design of a decision knowledge service model integrating a multi-agent supply relationship diagram for electric power emergency equipment
Provisionally accepted
- 1State Grid Jinhua Power Supply Company, Jinhua, China
- 2Zhejiang Gongshang University, Hangzhou, China
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The decision regarding the supply of emergency equipments for power emergencies requires timeliness, efficiency, and accuracy. The multi-agent supply relationship graph, based on complex data fusion, enables the comprehensive exploration of interconnections among key entities in power emergency supplies. This approach enhances decision-making efficiency and quality by uncovering multiple relationships between main bodies involved. The present study focuses on the decision-making process for power emergency equipments supply and aims to enhance its professionalization. To achieve this goal, multi-modal data regarding power emergency equipments supply is collected from both internal and external power enterprises. Subsequently, a decision support knowledge base is established, along with a four-dimensional relationship graph that integrates events, time, equipments, and suppliers based on the knowledge graph. This enables the mining of multidimensional relationships pertaining to the main body. Finally, supported by the graph, the platform can offer intelligent assistance in decision-making, supplier recommendation, optimization of emergency equipment scheduling for electric power supply, and provides effective information and guidance for decision-making in electric power emergency equipment supply.
Keywords: Electric power emergency supplies, Relationship Diagram, Supply decision, Intelligent optimization, Conceptual design
Received: 31 Mar 2025; Accepted: 16 May 2025.
Copyright: © 2025 Si, Liu, Ye, Wu, Wang, Hu, Ju and Cao. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Qianwen Cao, Zhejiang Gongshang University, Hangzhou, China
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