Research On Realization Method Of Intelligent CNC System Based On Edge Computing

With the development of the Industry 4.0,many advanced manufacturing technologies such as edge computing,Internet of Things,and cloud service have changed the production environment and production mode of the manufacturing industry.The development of new technology makes people have higher and higher requirements for the intelligent and networked level of machine tool numerical control systems.In the current intelligent and networked manufacturing model,the numerical control system of machine tools not only needs to use cloud computing and storage advantages to collect and analyze relevant multi-source data in processing,but also needs to be guided by the rich resource advantages of the cloud platform.And optimize the corresponding processing process.However,the traditional cloud architecture CNC system,due to the delay,stability,real-time and other issues in data transmission.It is difficult to meet high real-time requirements such as real-time perception and analysis,real-time optimization and control by the cloud side.This problem has also become a research hotspot and difficulty in traditional cloud-based CNC systems.In this context,this article carried out the design and development of the edge computing architecture CNC system,and carried out technical research on intelligent perception and analysis,intelligent optimization and control.According to the Edge Computing 3.0 reference architecture proposed by the Edge Computing Industry Alliance,this paper analyzes the architecture of the edge computing system in the intelligent manufacturing environment.From the two aspects of the intelligent function analysis of edge computing in the intelligent CNC system of machine tools and the construction of the physical platform,the environment modeling of the intelligent CNC system based on edge computing is completed,and the overall architecture design plan of the edge computing CNC system is proposed.Different from the traditional cloud architecture,this architecture adds edge computing equipment and edge computing layer.Based on edge-cloud collaborative,the intelligent analysis and intelligent optimization methods,high-real-time data interaction between the machine tool and the cloud can be completed.Taking the modules in the architecture as the basic building blocks of the Edge Computing CNC system,the proposed system architecture is developed in a modular manner.In the development process of each main module,the sub-module subdivision method and mutual calling mode are proposed,and the key technology of each main module in the construction process is introduced in detail.From the three aspects of edge motion control module,edge logic control module,and edge computing server configuration,the specific implementation methods of each main module are proposed.Aiming at the relationship between the Edge Computing CNC system and the original CNC system of the machine tool,three docking operation modes are proposed,and the specific docking method and process of each execution sub-module in the two systems are given.At the same time,in order to use the characteristics and advantages of cloud computing to improve the computing processing capabilities and remote service capabilities of the Edge Computing CNC system.The configuration strategy of the interactive part between the Edge Computing CNC system and the cloud is proposed,and the corresponding cloud computing server and interactive environment are built.In the application of intelligent perception technology of Edge Computing numerical control system,the intelligent data perception method of Edge Computing numerical control system is proposed for cutting force,position information,speed information,deformation information and other multi-source processing information data generated during the milling process of machine tools.Aiming at the high-speed and real-time requirements of multi-source information and the data clock fluctuations in the transmission process,resulting in inaccuracy and inconsistency of collected data,a new multi-source data intelligent scheduling and fusion method is proposed.Through highly consistent data collaboration,the multi-source information is mapped according to the corresponding relationship,so that the datum of the data can be projected from the datum based on the time factor to the space datum based on the surface factor of the workpiece.In order to make full use of the hardware resource advantages of cloud computing and the real-time advantages of edge-side computing,an intelligent analysis method of multi-dimensional associated data of edge-cloud hybrid interaction is proposed to provide efficient and real-time analysis data for the Edge Computing CNC system.In the application of milling force optimization technology of edge computing numerical control system,according to the perceived milling force information and the associated data of the processed workpiece,the fluctuation characteristics of milling force under different processing parameters and tool parameters are studied.The fluctuation prediction model of the milling force of the integral helical end mill is established.Three characteristics of milling force fluctuations related to axial cutting depth and tool parameters are proposed:consistency,periodicity and symmetry,and detailed theoretical formula derivation and proof methods are given.On this basis,a milling force optimization method based on the edge computing system is established.Through two methods of offline parameter optimization and online milling force control,the experiment verifies the effectiveness and correctness of the proposed edge computing CNC system and its technical application.