决策知识服务模型的概念设计,集成电力紧急设备的多代理供应关系图表
Jiandong Si1, Chang Liu1, Jingxian Ye1
1State Grid Jinhua Power Supply Company, Jinhua, Zhejiang, China.
Frontiers in big data
|June 23, 2025
概括
本研究介绍了一种基于知识图的系统,用于优化电力紧急设备供应. 该系统提高了决策准确性和供应商建议,以改善应急响应.
科学领域:
- 电气工程 电气工程
- 供应链管理 供应链管理
- 数据科学数据科学数据科学
背景情况:
- 有效的应急设备供应对于电力应急响应至关重要.
- 当前的决策流程可以提高及时性,效率和准确性.
- 电力紧急供应中的复杂互连需要先进的分析方法.
研究的目的:
- 加强电力紧急设备供应决策的专业化.
- 开发一个系统,为电力紧急响应提供智能决策支持.
- 提高供应商推和设备调度的准确性.
主要方法:
- 收集了来自内部和外部电力企业的电力紧急设备供应的多模式数据.
- 建立了一个决策支持知识库和一个四维关系图 (事件,时间,设备,供应商).
- 将知识图与数据挖掘算法集成为多维关系分析.
主要成果:
- 基于知识图的决策支持系统与现有方法相比,显示出更高的效率和精度.
- 该系统通过集成数据挖掘为电力紧急响应提供了精确的决策支持.
- 案例研究表明,该模型的供应商建议与实际采购结果密切相关.
结论:
- 拟议的系统为紧急供应管理提供了多维知识指导.
- 它提供了优化的决策途径,增强了整体的应急响应能力.
- 该系统代表了对电力紧急设备供应的智能决策支持的重大进步.
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