Research And Design Of Visual Monitoring Platform For Painting Production Line

At present,China’s national economy is constantly improving,and the state has begun to encourage the combination of industry and informatization in various places to accelerate the industrial upgrading and transformation of traditional manufacturing industries.The purpose of this article is to study and establish a visualized platform with centralized information without changing the original coating production equipment and production technology,to comprehensively collect workshop data,automate the detection process and focus on prevention and monitoring,so as to break the traditional information flow in the painting workshop Frequent and opaque shortcomings provide a more effective communication system for information interaction and achieve accurate allocation and efficient docking of resources across regions.The system also has certain commonality in other industrial fields.The dissertation first conducts a field survey of the painting factory,and develops a system design plan for the existing equipment and production conditions of the factory.The coating production line has the characteristics of a large number of construction workshops and complex processes.According to the needs of different production processes,this paper designs the use of multiple sensors,network cameras and machine vision systems for data collection,and uses the concept of distributed control to decentralize the production line Multiple subsystems use PLC control equipment for data integration,and each subsystem is equipped with a PC,allowing the operator to have a complete grasp of the current process operations and workshop parameters.Secondly,establish a communication system with a full production line.For video transmission systems,OPNET simulation technology is used to analyze the network delay of different network topologies under a single variable.A communication scheme for front-end acquisition with a star topology and video transmission through a VPN leased line is established to ensure a transmission delay of less than 2s.For other production parameters and control variables,I/O communication and PROFINET bus technology are used to achieve communication between the acquisition device and the control device.The machine vision system is equipped with an independent PC.The test results are interconnected with adjacent PLC controllers through OPC communication.Then,the PLC system is connected to industrial Ethernet,and the equipment on the production line site is automatically controlled.It is extended to the central monitoring platform,so that the field data is connected to the central management personnel,and the digital factory is initially established.Finally,the development of the host computer and the central platform is completed.Software development consists of three tasks: First,the development of machine vision systems.Based on the research of common template matching algorithm and image location algorithm,the application software is written by using Ni vision visual development module,including coating defect detection software based on gray-scale feature template matching,workpiece identification software based on contour shape template matching and barcode identification software based on minimum area external rectangle positioning.The second is to develop a subsystem platform based on Lab VIEW to implement functions such as equipment control,real-time status detection,abnormal alarm,and data storage on the coating production line.Thirdly,develop a visual monitoring platform based on Fine Report,to summarize and organize the data of each workshop,and the platform can display the online statistical data dynamically of each station in each factory,so that the central dispatcher can grasp in time The actual situation on the production line,overall control and decision-making on production management.