Design And Implementation Of Remote Monitoring And Management Platform For Distributed Electromechanical System

The research and development of large-scale equipment and the rapid development of computer technology have promoted the development of distributed electromechanical systems.However,large-scale distributed electromechanical equipment not only brings convenience to the production,but also brings great difficulties to the condition monitoring,equipment management and data storage and processing of multi-region distributed equipment.The distributed electromechanical equipment in large-scale industrial production has the characteristics of decentralization,diversified monitoring nodes,and complicated equipment management.In distributed networked intelligent monitoring,each independently operating electromechanical equipment is an edge node.The equipment data information at the edge node is the focus of efficient monitoring and management of distributed electromechanical equipment.The main research work and results are as follows:(1)By analyzing the signal characteristics of the distributed electromechanical system,designing a data acquisition system,combining virtual instrument technology,and using embedded FPGA development and data transmission technology to complete the reliable,high-speed acquisition and transmission of edge node signals.(2)In order to improve the efficiency of edge node data analysis,the first-order difference method is used to effectively eliminate the singular points of the original sampled signal,and then the signal is subjected to optimal variational modal decomposition.Then the correlation analysis is used to determine the degree of correlation between each mode and the original signal,so as to accurately obtain the real operating signal and the noise source signal,realize the signal preprocessing function of the edge node of the electromechanical system,and improve the edge node of the distributed electromechanical system for the local data,the efficiency and accuracy of filtering and analysis.(3)Combining System Link technology to realize the remote transmission of signals,complete the signal monitoring at the remote terminal,design a remote monitoring plan,and realize the monitoring and efficient management of the operating status of the edge node equipment at the remote system terminal.Use deployment technologies such as remote software drivers to achieve unified management and upgrade of remote devices.Lay a foundation for the storage,mining,cloud computing and application of massive operating data of distributed systems,and provide reliable data support for fault diagnosis and other technologies.(4)In order to verify the actual application effect of the designed platform,three electromechanical equipment in the laboratory are used as platform monitoring and management objects,and the design results of this paper are used to verify the design results.Experiments show that the monitoring platform designed and implemented in this paper can reliably collect equipment operating data.The edge node signal extraction and reconstruction can be achieved through the edge node preprocessing technology developed.The terminal server can well monitor the operating status of remote equipment.Realize efficient distributed equipment software and hardware management.The design of the experimental platform is reliable and expandable.It lays a foundation for the storage,mining,cloud computing and application of massive operating data of distributed systems,and provides reliable data support for fault diagnosis and other technologies,and Lay a solid foundation for development,health monitoring,and fault diagnosis.