基于人工智能的配电网通信运维作业监控系统设计

Design of Monitoring System for Communication Operation and Maintenance of Distribution Network Based on Artificial Intelligence

文章针对配电网通信运维效率低、故障诊断不准等问题,设计了一种基于人工智能的配电网通信运维作业监控系统。该系统采用物联网技术进行数据采集,利用大数据分析和机器学习算法实现智能决策,并使用微服务架构构建灵活的应用服务。通过在真实配电网环境中的实验验证,结果表明该系统在提高故障诊断准确率、缩短诊断时间以及降低误报率等方面效果显著。人工智能技术的应用可以大幅提高配电网通信运维的智能化水平,为构建高效协同的智能配电网奠定基础。

Aiming at the problems of low efficiency and inaccurate fault diagnosis in communication operation and maintenance of distribution network,this paper designs a monitoring system for communication operation and maintenance of distribution network based on artificial intelligence.The system uses Internet of Things technology to collect data,uses big data analysis and machine learning algorithm to realize intelligent decision-making,and uses micro-service architecture to build flexible application services.Through the experimental verification in the real distribution network environment,the results show that the system has remarkable effects in improving the accuracy of fault diagnosis,shortening the diagnosis time and reducing the false alarm rate.The application of artificial intelligence technology can greatly improve the intelligent level of communication operation and maintenance of distribution network,and lay the foundation for building an efficient and collaborative intelligent distribution network.