Research And Application Of Multi Dimensional Health Monitoring System For Metallurgical Cranes

Metallurgical cranes are a type of cranes that work in harsh environments and have extremely heavy tasks.The long-term repetitive,intermittent lifting,and frequent starting and braking of the load lifting process constantly impact metallurgical crane equipment and steel structures,which are easy to cause equipment failures.Fatigue failure of steel structures is extremely dangerous.The industrial health monitoring system can monitor the health status of equipment in real time and reduce the risk of industrial equipment failure or fatigue failure.When metallurgical cranes use industrial health monitoring systems,due to the high data dimension and large amount of data,it is difficult to effectively acquire and process multi-dimensional data representing health status.In addition,due to the lack of effective online health analysis methods,it is impossible to monitor the health status in real time.Therefore,the study of multi-dimensional health monitoring system for metallurgical cranes has important theoretical significance and engineering application value.Based on the analysis of the research status of the industrial equipment health monitoring system,the multi-dimensional data integration and health monitoring methods is elaborated in this paper in view of the integration difficulties of the metallurgical crane multi-dimensional health monitoring system.In this paper,an overall system integration method for the multi-dimensional health monitoring of metallurgical cranes is proposed,which provides support for the construction of monitoring system.Aiming at the problems of high data dimension and large quantity in the multi-dimensional data acquisition process of metallurgical cranes,a time window data acquisition method based on multi-domain concurrency is proposed.Real-time and accurate acquisition of multi-dimensional data is achieved through the process of data acquisition and analysis being separated by concurrent processing of multiple data domains.Aiming at the limitation that the conventional rainflow counting method can only analyze fixed-length data,a step rainflow counting method is proposed.This method outputs real-time health monitoring results through subsection rainflow counting and multi-section residual wave fusion counting,and realizes online analysis and health monitoring of long-term field measured continuous data.The constructed metallurgical crane multi-dimensional health monitoring system is experimentally tested and the applied to the actual metallurgical crane.The experimental research shows that the system integration method proposed in this paper can be used to effectively build a multi-dimensional health monitoring system for metallurgical cranes.The proposed acquisition method of time window data based on multi-domain concurrency can accurately acquire multi-dimensional data in real time.The proposed step rainflow counting method can online analysis long-term continuous measured data and output health monitoring results in real time.The integrated metallurgical crane multi-dimensional health monitoring system operate safely and stably,it has a high reliability,which provide a new way to realize the health monitoring of metallurgical cranes.