本文将自然语言处理(NLP)、知识图谱、RPA等新技术与电网企业数字化转型过程中的实际业务场景融合,梳理数字助理在电力应急物资调配过程中的功能需求,厘清数字助理的研究内容。通过对电网供应链日常运营管理过程中产生的庞大文本数据的整合与利用,实现数字助理对电力领域俗称、用户意图的准确理解,进而及时响应用户需求,显著提高应急响应过程效率,助力提升供应链韧性。This paper integrates new technologies such as natural language processing (NLP), knowledge graph and RPA with actual working scenarios in the process of digital transformation of power grid enterprises, tease out the functional requirements of digital assistants in the process of electric power emergency supplies deployment, and clarifies the research content of digital assistants. Through the integration and utilization of the huge text data generated in the daily operation and management process of the power supply chain, the digital assistant can accurately understand the common name and user intention in the power field, and then respond to user needs in a timely manner, significantly improve the efficiency of the emergency response process, and help improve the resilience of the supply chain.
本文主要将通过分析电网企业应急物资保障体系现状,厘清影响电网企业应急物资供应效率的因素,从组织保障、资源保障和信息化保障等方面构建应急物资保障体系,并建立与之匹配的应急响应程序,确保在实际应急场景中可快速响应,保障物资及时供应,降低供应链断链、断供风险,提升供应链的抗风险能力和稳定性。By conducting an in-depth analysis of the current emergency material support system within power grid enterprises, this paper aims to identify the key factors influencing the efficiency of emergency material supply. It will propose a comprehensive emergency material support framework encompassing organizational, resource, and information support mechanisms, along with corresponding emergency response procedures. This approach ensures rapid and timely material supply during actual emergencies, thereby mitigating the risk of supply chain disruptions and enhancing the overall resilience and stability of the supply chain.
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