Research On Welding Parameter Detection And Control Method Based On μCOSⅢ System

As the state vigorously promotes the transformation of manufacturing industry to intellectualization,the welding industry is also developing on the road of intellectualization and automation.In the welding production,skilled welders can predict the final shape of the welding through the welding parameters,and the appropriate welding parameters are the key factors that affect the quality of the welding.Therefore,the detection and control of the welding parameters are more important.This paper combines the Internet of Things technology to realize the detection and control of welding parameters,which is of great significance to improve the quality of welding.In this paper,through the study of previous scholars on welding parameters,the specific requirements of detection and control of welding parameters are analyzed,the scheme of detection and control of welding parameters is designed,and the hardware platform of the lower computer with STM32F407VET6 as the main control chip is built,which includes power circuit,gas flow detection circuit,wire feed speed detection circuit,ESP-01 S wireless transmission circuit,LCD touch screen circuit,etc.Current and voltage control circuit and gas flow control circuit.At the same time,in order to improve the real-time performance and scalability of the system,the real-time operating system μCOSIII is introduced,and the functions of tasks are subdivided and implemented in programming to optimize the readability of the program.The upper computer uses the GUI interface of MATLAB to program,and realizes the functions of storage,image display,real-time control and information processing for the welding parameters detected by the lower computer.At the same time,to solve the problem of data interaction between upper and lower computers,this paper uses MQTT protocol to achieve long-distance communication.This paper makes the schematic and PCB diagrams of the circuit,then proofs and plates,completes the welding of each module of the lower computer,and finally tests the upper and lower computer systems that have been set up.The final results show that the welding parameters detection and control system using μCOSIII system achieves the expected results,and can meet the requirements of welding parameters control and monitoring.