Research On Theory And Application Of The Crane Health Monitoring System

As a material handling equipment,lifting machinery is widely used in various sectors of the national economy.Under the traction of the national application demands of "safety,efficiency,green,and harmony",targeting on such complex system like lifting machinery,how to effectively carry out the health theory for complex system,the acquisition of damage indicators of metal structures,the acquisition of safety indexes of equipment parts,the comprehensive evaluation on the health status and timely detection of the degree of "morbidity" of the system in advance to realize "early prevention,early detection,early treatment" and "treating minor problems,preventing major malfunctions" has become the main topic.Up to now,there are no specific standards for the positioning,identification,diagnosis,and assessment on the health status of domestic lifting machinery.The monitoring methods and technical level based on the concept of health are still at the initial stage,and the health theory of comprehensive system is deficient,the comprehensive evaluation index system is still not perfect.Targeting on the above problems,this paper mainly carries out the following research work:(1)Based on the health status of lifting machinery,proceed researches on the health theory of comprehensive system.Starting from the connotation of the concept of "health" and based on the theory of fuzzy mathematics,a health monitoring system is constructed and the basic principles and ideas of a health monitoring system are proposed;combined with the Internet of Things technology and health monitoring technology,the overall CHMS-IoT design of bridge(gantry)crane is constructed.(2)For the metal structure of lifting machinery,proceed researches on health monitoring theory and application.Starting from the definition and features of “damage”,the general plan of monitoring the health of metal structure was constructed;Based on the vulnerability analysis method and the regional distribution sensing theory,an optimal deployment scheme for the measurement point in the sensor system is proposed;Based on the identification of the state parameters such as structure displacement,strain and load,adopt strain ratio method and the dynamic general influence line method to acquire structure’s damage indicators.(3)Targeting on the human-machine relationship,proceed researches on the theory and application of intrinsic safety of lifting machinery.Starting from the definition and features of equipment’s “failure”,the intrinsic safety theory system for lifting machinery is constructed;adopt Human Reliability Analysis(HRA)method to model worker’s behaviors and analyze the reliability of operation;targeting on the functional safety in the lifting brake system,the modelling of equipment’s safety function configuration is built and the safety integrity level assessment is proceeded.(4)Targeting on the lifting machinery and its subsystems,the comprehensive performance evaluation method for lifting machinery was researched.For the detected or monitored historical sample date,process data in stages through Grey Relational Analysis(GRA)and Rough Set(RS)theory to realize the refinement and selection of sample data;use the improved GA-BP algorithm to construct a mapping model from membership to health degree,which shall acquire the levels(3 levels in total)of Health Degrees(HDs);adopt Analytic Hierarchy Process and fuzzy comprehensive evaluation method to construct systematic comprehensive evaluation index system and evaluation criteria,and the Health Degrees(HDs)with five levels shall be acquired.(5)Development and application of health monitoring comprehensive evaluation system for hoisting machine.Based on the VC++6.0/C# platform,the theories and methods in this paper shall be sealed and combined,and the development of health monitoring comprehensive evaluation system for hoisting machine is proceeded,which will provide further software support for the health assessment of in-service lifting machinery.