Research On Virtual Monitoring System Of Digital Production Line Based On Digital Twin

At present,the world has launched a new round of industrial technology revolution represented by the Internet of Things,big data and cloud computing.At the same time,it also puts forward higher requirements for industrial automation and digital level.The traditional production line monitoring mode cannot meet the needs of digital manufacturing and even intelligent manufacturing.Aiming at the problems of low transparency,poor real-time performance and incomplete monitoring angle in the process of digital production line monitoring,based on digital twin technology,starting from the key equipment of the production line,taking the five-axis machining center as an example,this paper studies the physical rule fusion model in the machining process of the machine tool,and establishes the geometric behavior mapping method of other equipment in the virtual scene of the production line,develops a production line virtual monitoring system based on real-time data drive,and realizes the virtual monitoring of the operation process of the production line from the physical level and the geometric level.It helps to improve the visualization level of digital production line monitoring and the operation efficiency of production line.The main research contents of this paper are as follows :Firstly,by analyzing the design requirements and principles of the virtual monitoring system,each functional module of the system is divided.Taking the five-axis machining center as an example,the principle of the physical rule fusion model of the machine tool machining process is expounded.For other key equipment in the production line,the geometric behavior mapping method of the three-dimensional model of the equipment in the virtual scene is analyzed,and the overall framework and development scheme of the virtual monitoring system are determined,which provides a technical route for the system development.Secondly,the fusion model of physical rules in machining process is studied.Taking the milling of aerial blades in five-axis machining center as an example,the orthogonal cutting experiment is designed.By collecting the cutting force data in the machining process of the equipment and the contour deviation data of the workpiece after machining,the cutting force prediction model under the empirical formula and the cutting force and average contour deviation prediction model under the BP neural network are established.The visual monitoring of the cutting force in the machining process of the equipment is completed,and the purpose of realizing the digital twinning of the equipment from the physical layer is achieved.Then,the geometric behavior mapping method of equipment in virtual scene is established.The data acquisition scheme of production line equipment is designed based on industrial Ethernet,and the production line database and database table are constructed based on the E-R model.The NHibernate plug-in and Photon Server server are used to build the data transmission channel of the system.The Unity3 d engine is used to study the visualization of data.The geometric movement of the three-dimensional model of production line equipment based on real-time data drive is realized in the virtual scene,and the purpose of digital twinning of equipment at the geometric level is achieved.Finally,the development and verification of the virtual monitoring system are completed.The development environment of the virtual monitoring system is analyzed,the operation process of the production line is designed,and the various functional modules of the system are developed.Taking the machining process of the aerial blade as an example,the physical rule fusion model of the system is verified.According to the operation process of the production line,the geometric behavior mapping method of the system is verified,and the virtual monitoring of the production line operation process is realized from the physical level and the geometric level.