探析数字智能化环境电力供电服务质量优化方法
Exploring the Optimization Method of Electric Power Supply Service Quality in Digital Intelligent Environment

数字智能化技术的快速发展对电力供电服务质量提出了更高的要求。为适应数字智能环境下的行业需求，需通过技术创新驱动服务优化。本文基于数字电网转型背景，分析了当前存在的供服人员适应性不足、用户需求匹配度低及管理制度滞后等问题，并提出了以人工智能、区块链、物联网(IoT)及数字孪生技术为核心的优化方法。通过构建智能化培训体系、开发自适应业务平台、部署边缘计算节点及建立动态质量评估模型等技术手段，实现服务流程自动化、需求响应精准化及管理决策科学化。研究成果可为电力企业提升服务效率、降低运维成本及增强用户满意度提供技术参考。
The rapid development of digital intelligent technology has put forward higher requirements for the quality of electric power supply service. In order to adapt to the needs of the industry under the digital intelligent environment, service optimization needs to be driven by technological innovation. Based on the background of digital grid transformation, this paper analyzes the current problems of insufficient adaptability of supply and service personnel, low matching degree of user demand and lagging management system, and proposes an optimization method centered on artificial intelligence, blockchain, Internet of Things (IoT) and digital twin technology. Through the construction of intelligent training system, the development of adaptive business platform, the deployment of edge computing nodes, the establishment of dynamic quality assessment model and other technical means, it achieves the automation of the service process, accurate demand response and scientific management decision-making. The research results can provide technical references for electric power enterprises to improve service efficiency, reduce operation and maintenance costs and enhance customer satisfaction.