基于缺陷文本识别的变压器风险评估及辅助检修决策方法  

Risk Assessment and Auxiliary Maintenance Decision Method of Transformer Based on Defect Text Recognition

作　　者：廖才波 黄智勇[1] 杨金鑫 邵剑 王同磊 林元棣 LIAO Caibo;HUANG Zhiyong;YANG Jinxin;SHAO Jian;WANG Tongei;LIN Yuandi(Department of Energy and Electrical Engineering,Nanchang University,Nanchang 330031,China;Electric Power Research Institute of State Grid Jiangsu Electric Power Co.,Ltd.,Nanjing 211103,China)

机构地区：[1]南昌大学能源与电气工程系,南昌330031 [2]国网江苏省电力有限公司电力科学研究院,南京211103

出　　处：《高电压技术》2024年第7期2931-2941,共11页High Voltage Engineering

基　　金：国家自然科学基金(52367001)。

摘　　要：针对传统变电设备检修业务过度依赖人工经验、设备缺陷处置效率过低等问题,提出了一种基于缺陷文本识别和知识图谱的变压器风险评估及辅助检修决策方法。该方法通过建立基于Bert-CNN的缺陷文本识别模型,完成现场运维人员所填缺陷记录的动态词向量提取及文本局部特征分析,自动评估设备缺陷严重程度及其风险等级。随后,基于行业标准、试验规程及专家经验,采用知识图谱构建了变压器运维检修策略库,实现了缺陷文本识别结果与检修策略库的知识融合与映射,完善了设备缺陷记录到运维检修决策的全过程智能化运检辅助功能。最后,结合算法对比及案例验证,该方法对缺陷严重程度、部件和风险等级的识别结果准确率达到91%以上,且可实现基于设备缺陷情况的差异化检修决策推送,有助于提升变压器运维检修业务的智能化和自动化水平。In response to the problems of over-reliance on manual experience and low defect disposal efficiency of tradi-tional transformer maintenance mode,the paper proposes a risk assessment and auxiliary maintenance decision method based on defect text recognition and knowledge graph for transformer.By establishing the defect text recognition model based on Bert-CNN,the method completes the dynamic word vector extraction and text local feature analysis of the de-fect records filled in by operation personnel,and automatically evaluates the severity and risk level of equipment defects.Then,based on industrial standards,operation specifications and expert experiences,knowledge graph is used to construct the operation and maintenance strategy library of transformer,which realizes the knowledge fusion and mapping of defect text recognition results and maintenance strategy library.The intelligent operation-inspection auxiliary function of the whole process from equipment defect record to operation and maintenance decision-making is improved.Finally,com-bined with algorithm comparison and case verification,the accuracy of the method to identify the defect severity,component and risk level is higher than 91%,and decision-making on differentiated maintenance and suggestion based on equipment defect conditions is realized,which helps to improve the intelligence and automation level of transformer op-eration and maintenance.

关 键 词：变压器缺陷 文本分类 Bert-CNN 知识图谱 智能辅助决策 

分 类 号：TM40[电气工程—电器]