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.
Abstract
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 intelli-gent operation and maintenance technology to establish an Al based operation and maintenance knowledge base model.Firstly,the data was uniformly processed from the aspects of collection,analysis,and feature extraction.Secondly,an Al 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 ef-ficiency of intelligent operation and maintenance,thereby better ensuring the safe and stable operation of the power system.
基金项目
国网安徽省电力有限公司科技项目(5212T02001CM)
维普
万方数据