科技创新与应用2024，Vol.14Issue(36)：43-46,4.DOI:10.19981/j.CN23-1581/G3.2024.36.009
低电压预警监测智能决策系统设计与实现
李强 1杜丰夷 1范李平 1沈映彤 2熊瑛3
作者信息
- 1. 国网宜昌供电公司,湖北 宜昌 443000
- 2. 三峡大学 电气与新能源学院,湖北 宜昌 443000
- 3. 国网武汉供电公司,武汉 430000
- 折叠
摘要
Abstract
In order to solve the current problems of difficulty in integrating multiple system data,inaccurate low voltage judgment,difficulty in curing low voltage problems,and low governance efficiency,this paper builds a low voltage intelligent analysis,early warning and diagnosis model based on big data mining technology.A panoramic sensing low voltage monitoring model based on multi-task assisted learning is built to achieve efficient and accurate power customer grouping and low voltage cause analysis;a named entity recognition model based on convolutional neural network is proposed to form an"entity-relationship-entity"low voltage knowledge graph of the triple group;the low voltage knowledge graph is applied to realize automatic generation of auxiliary decisions and visually displayed through the platform.The results show that the low-voltage early warning and monitoring intelligent decision-making system covers the entire business process and all links of power supply command,distribution network production,marketing services,development planning and other majors,greatly improving the power supply service level and business support capabilities.关键词
低电压/大数据/多任务辅助学习/卷积神经网络/知识图谱Key words
low voltage/big data/multi-task assisted learning/convolutional neural network/knowledge graph分类
信息技术与安全科学引用本文复制引用
李强,杜丰夷,范李平,沈映彤,熊瑛..低电压预警监测智能决策系统设计与实现[J].科技创新与应用,2024,14(36):43-46,4.
