摘要
除了安全监测数据,现场检查结果及历史缺陷隐患记录同样是诊断大坝安全性态的重要依据。利用多源信息汇聚技术、数据治理体系、异常监测数据自适应识别技术及异构信息融合技术,研发了基于监测、现场检查及历史缺陷隐患的大坝安全智能诊断系统,通过纳入全面、完整的运行维护数据,提高大坝安全诊断的准确性。
In addition to safety monitoring data,on-site inspection results and historical defect records are also essential basis for diagnosing dam safety.Based on the research on the aggregation technology of multi-source information,data treatment system,adaptive anomaly detection technology of monitoring data and heterogeneous information integration technology,a dam safety intelligent diagnosis system has been developed based on monitoring,on-site inspection and historical defect data.By adopting more comprehensive operation and maintenance data,the accuracy of dam safety diagnosis is improved.
作者
孙志久
朱福星
刘远财
杨鸽
卢林晶
任哲
SUN Zhi-jiu;ZHU Fu-xing;LIU Yuan-cai;YANG Ge;LU Lin-jing;REN Zhe(Zhejiang Energy Beihai Hydropower Co.,Ltd.,Hangzhou 310009,China;Large Dam Safety Supervision Center,National Energy Administration,Hangzhou 311122,China)
出处
《水电能源科学》
北大核心
2020年第11期85-89,共5页
Water Resources and Power
基金
浙能集团科技项目(ZNKJ-2019-084)。
关键词
多源信息
异构信息
智能诊断
大坝安全
multi-source information
heterogeneous information
intelligent diagnosis
dam safety
