摘要
为实现电网调度操作票的自动智能校核,提出了一种基于双向GRU(门控循环单元)神经网络和多种校验规则的调度操作票审核分析方法。将基于双向GRU神经网络的语义分析技术与智能审核方法相结合,对调度指令和检修申请单文本进行数据预处理,将安全措施状态与操作票设备最终状态对比。在智能规则校核环节依次进行格式校核、逻辑校核、安全校核,最后将票面错误异常进行输出。利用浙江电力停电智能管控系统中的历史调度操作票对所提方法进行测试,结果表明该方法提高了审核的安全性和工作效率,实现了电网调度操作票的智能效核。
For automatic and intelligent check of operation ticket for power grid scheduling,a scheduling operation ticket checking and analysis method based on bidirectional GRU(gated recurrent unit)neural networks and multiple verification rules is proposed. The semantic analysis technology based on bidirectional GRU neural network is combined with the intelligent checking method for data pre-processing of dispatching instruction and maintenance application form. The state of safety protection measures is compared with the final state of operation ticket equipment. In the intelligent rule checking link,format checking,logic checking and safety checking are performed in turn,and finally the ticket errors are output. The proposed method is tested using the historical dispatching operation tickets in the intelligent outage control system in Zhejiang power grid. The results show that the method can improve the checking safety and efficiency and realize the intelligent operation ticket checking of power grid dispatching.
作者
郑俊翔
刘辉乐
黄达铁
孙景钌
陆燕
ZHENG Junxiang;LI Huile;HUANG Datie;SUN Jingliao;LU Yan(State Grid Wenzhou Power Supply Company,Wenzhou Zhejiang 325000,China;State Grid Zhejiang Information&Telecommunication Branch,Hangzhou 310007,China)
出处
《浙江电力》
2022年第10期42-49,共8页
Zhejiang Electric Power
关键词
调度操作票
智能校核
双向门控循环单元
自然语义分析
dispatching operation ticket
intelligent checking
bidirectional GRU
natural semantic analysis
