基于AI技术的电力生产管理自动化系统研究  

Research on Automation System of Electric Power Production Management Based on AI Technology

作　　者：陈学伟 王伟 田新成 张剑飞 卢泽汉 CHEN Xuewei;WANG Wei;TIAN Xincheng;ZHANG Jianfei;LU Zehan(State Grid Jibei Electric Power Co.,Ltd.,Tangshan Power Supply Company,Tangshan 063000,China)

机构地区：[1]国网冀北电力有限公司唐山供电公司,河北唐山063000

出　　处：《电工技术》2022年第16期24-26,29,共4页Electric Engineering

摘　　要：随着变电站数量的快速增加,网络安全监测装置等新设备的接入,电力系统二次检修班组的工作愈发繁重。针对二次检修工作流程繁琐、设备图文台账查找困难、密码遗忘及安全存储等问题,研发基于AI技术的电力生产管理自动化系统,充分利用现有计算机AI技术的日程提醒、浏览器模拟点击、智能复制粘贴、文档自动录入、AI文字识别、数据安全加密存储等功能代替人工操作、记忆,切实减轻了基层检修人员的工作负担,提高了工作效率。With the rapid increase in the number of substations and the access of new equipment such as network security monitoring devices,the work of the power system secondary maintenance team has become more and more onerous.Aiming at the cumbersome work flow of the secondary maintenance,the difficulty in finding the graphic ledger of the equipment,the forgotten password and the safe storage,etc.,the AI technology-based power production management automation system is developed.The system makes full use of the functions of existing computer AI technology,such as schedule reminder,browser simulation click,intelligent copy and paste,automatic document entry,AI character recognition,data security encryption and storage,to replace manual operation and memory,which effectively reduces the work burden of grass-roots maintenance personnel and improves work efficiency.

关 键 词：办公自动化 人工智能 文字识别 电力生产 日程提醒 

分 类 号：TP27[自动化与计算机技术—检测技术与自动化装置]