一种面向自动化设备的行为监测与异常诊断方法

Behavior Monitoring and Abnormality Diagnosis Method for the Automation Equipment

针对自动化设备在行为监测与诊断方面的不足,提出一种面向自动化设备的行为监测与异常诊断方法.以有限状态自动机为基础,通过对设备进行模块划分,由多个模块的状态集合和状态变化来识别设备的状态和状态转换,得到设备的行为状态模型,可以精确的描述设备的运行过程.同时,将待测的动作指令、设备状态和状态转换与定义好的设备行为状态模型进行比对,可以检测设备运行过程中的行为异常.最后,实现了基于设备行为状态模型的行为监测原型系统,其实验结果表明。

Aiming at shortages of behavior monitoring and diagnosis in the Automation Equipment, a behavior monitoring and abnor- mality diagnosis method for the automation equipment was proposed. Based on finite state automaton, equipment was divided into many modules, and equipment state and transition were recognized by the state set and state change of modules, and an equipment be- havior state model was achieved, so that this model can accurately describe the operation of the equipment. By comparing the upcom- ing equipment actions,states and state transition path with the defined equipment behavior state model, and the abnormal behavior was detected during the operation process of the equipment. Finally, an equipment behavior monitoring prototype system based on the e- quipment behavior state model is implemented. The experimental results show that this model can effectively detect the abnormal be- havior of equipment.