摘要
针对电力系统运维知识庞杂、运维资料众多及运维人员上手慢等问题,提出一套基于人工智能的电力系统运维知识大脑的构建方法。知识大脑主要针对电力系统海量运维资料素材进行信息提取,根据电力系统的行业特点和运维相关的具体要求,完成知识摘要、知识搜索、智能推荐及智能问答等4个业务构建,能够提升电力运维人员的上岗前知识学习速度和上岗后故障处理速度,为电力系统的安全运维提供保障。
The paper proposes a method and main technology for constructing a knowledge brain for power system operation and maintenance based on artificial intelligence,in response to the problems of complex knowledge,numerous operation and maintenance data,and slow operation and maintenance personnel.The knowledge brain is mainly aimed at extracting information from daily management,production and operation systems,power standards,power specifications,operation and maintenance processes and other data materials of power system operation and maintenance.Based on the industry characteristics of the power system and the specific requirements of related operation and maintenance,it completes the construction of 4 major businesses:knowledge summary,knowledge search,intelligent recommendation,and intelligent questions and answers,to improve the pre job knowledge learning speed and post job fault handling speed of power operation and maintenance personnel,and provide guarantees for the safe operation and maintenance of the power system.
作者
单铁园
SHAN Tieyuan(ZNV Technology Co.,Ltd.,Shenzhen 518057,China)
出处
《智能物联技术》
2024年第3期34-37,共4页
Technology of Io T& AI
关键词
人工智能
电力系统运维
知识大脑
知识图谱
artificial intelligence
power system operation and maintenance
knowledge brain
knowledge graph