基于隶属云的安全监测异常数据识别方法研究  

Study on anomaly identification method for security monitoring data based on membership cloud

作　　者：朱斯杨 李艳玲[1,2] 卢祥[1,2] 刘可心 ZHU Siyang;LI Yanling;LU Xiang;LIU Kexin(State Key Laboratory of Hydraulics and Mountain River Engineering,Sichuan University,Chengdu 610065,China;College of Water Resource&Hydropower,Sichuan University,Chengdu 610065,China)

机构地区：[1]四川大学水力学与山区河流开发保护国家重点实验室,四川成都610065 [2]四川大学水利水电学院,四川成都610065

出　　处：《人民长江》2021年第2期197-200,共4页Yangtze River

摘　　要：传统3σ准则在监测序列异常数据识别上应用广泛,但其仅适用于符合正态分布的数据序列。然而由于监测数据质量易受环境、设备和外在受力等因素影响,不可避免会出现含离群点的监测序列,传统方法对于含较多离群点的"台阶型"、"振荡型"序列则极易出现漏判现象。通过引入隶属云发生器,结合隶属云3b准则对监测数据进行初筛,以监测数据序列的期望和带宽序列的均值构造控制函数,提出了基于隶属云的监测数据异常识别算法,并将其应用于龚嘴水电站位移和渗流监测。结果表明,该方法较传统3σ准则在异常数据识别上精度及可靠性提升明显,相关经验可供类似工程安全监测参考。The traditional 3σ criteria is widely used in the identification of abnormal data in monitoring sequences,but this criteria is only applicable to data sequences satisfying normal or approximate normal distribution.However,since the quality of monitoring data is easily affected by the environment,equipment and external forces,monitoring sequences with outliers will inevitably appear.For "step" and "shock" shapedsequences with outliers,traditional methods are prone to make misjudgment.Therefore,by introducing the membership cloud generator and combining with the 3b criteria of the subordinate cloud,this paper preliminarily screened the monitoring data,and then the control function was constructed by the expectation of the monitoring data sequence and the mean value of the bandwidth sequence.Therefore,an anomaly recognition algorithm based on membership cloud was proposed and applied to the displacement and seepage monitoring of Gongzui Hydropower Station.The application results showed that this method was significantly improved in the accuracy and reliability of anomaly recognition compared with the traditional criterion,and the relevant experience could be used as a reference for similar engineering safety monitoring.

关 键 词：安全监测数据 异常识别 隶属云发生器 3σ准则 3b准则 云期望 云带宽 

分 类 号：TV698.1[水利工程—水利水电工程]