Key Technologies of Predictive Maintenance for Intelligent Instrumentation
Intelligent instrumentation is the"nerve"of sensing and control in large industrial process and complex equip-ment system,and its health status directly affects the safe and reliable operation of the system.Traditional intelligent instrumenta-tion is usually used as a measuring tool to monitor the running state of process and key equipment,and the neglect of the ontology failure can easily lead to inaccurate and unreliable data collection,affecting the efficiency of industrial process control,and is also easy to lead to misjudgment by operators,resulting in safety accidents.This paper analyzed the technical connotation of predictive maintenance for intelligent instrument,and established the technical route of mechanism analysis,data acquisition,feature analy-sis,fault self-test,anomaly detection,fault diagnosis and life prediction.Intelligent instrument was divided into"transmission","sensing"and"communication"from the perspective of complex industrial processes.The key technologies of predictive mainte-nance of instrument ontology level and system level were summarized.Three typical application scenarios of intelligent operation and maintenance,security instrument risk management and control,and information security risk management and control were an-alyzed,and the technological development trends of diagnostic self-configuration and cloud-edge collaborative architecture were deduced.The research can lay a foundation for the transformation of operation and maintenance of intelligent instrumentation and system from offline to online and from preventive maintenance to predictive maintenance.
NETL
NSTL
万方数据
维普
