基于AI的运维知识库模型的变电站智能运维技术研究  

Research on Intelligent Operation and Maintenance Technology of Substation Based on AI Operation and Maintenance Knowledge Base Model

作　　者：曹菜平 赵辉 CAO Caiping;ZHAO Hui(Bozhou Power Supply Company,State Grid Anhui Electric Power Co.,Ltd.,Bozhou 236800,China)

机构地区：[1]国网安徽省电力有限公司亳州供电公司,安徽亳州236800

出　　处：《机械与电子》2024年第10期49-53,共5页Machinery & Electronics

基　　金：国网安徽省电力有限公司科技项目(5212T02001CM)。

摘　　要：通过分析目前传统运维知识库存在信息质量低、覆盖范围窄和更新不及时等缺陷,提出建立基于AI的运维知识库模型的智能运维技术。首先通过对数据从采集、分析和特征提取等方面进行了统一处理,其次结合运维特征建立了基于AI的运维知识库模型,最后通过K折交叉验证方法验证了该模型的有效性。实验结果表明,该模型可以提高智能运维的准确性和效率,从而更好地保障电力系统的安全稳定运行。This paper analyzes the shortcomings of traditional operation and maintenance knowledge inventory,such as low information quality,narrow coverage,and untimely updates,and proposes an intelligent operation and maintenance technology to establish an AI based operation and maintenance knowledge base model.Firstly,the data was uniformly processed from the aspects of collection,analysis,and feature extraction.Secondly,an AI based operation and maintenance knowledge base model was established based on operation and maintenance features.Finally,the effectiveness of the model was verified through K fold cross validation method.The experimental results showed that the model can improve the accuracy and efficiency of intelligent operation and maintenance,thereby better ensuring the safe and stable operation of the power system.

关 键 词：智能运维 知识库 特征提取 AI 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] TM63[自动化与计算机技术—控制科学与工程]