Machine learning based welding quality management system to find and set the optimum current voltage and welding quality management method

摘要

It relates to a welding quality management system and welding quality control method that can perform optimal welding by automatically controlling current, voltage, welding speed and CO _{2 amount for a welding robot.} unit, a data collection unit that collects welding-related data detected by the sensing unit, a data processing unit that processes the welding-related data collected by the data collection unit into machine learning data, and manages the welding robot with the learned parameter values A configuration comprising a control unit having a sensor management unit, a production management unit that manages the welding points of the welding robot, and a production management unit that executes machine learning with the processing data transmitted from the control unit, and a display unit that displays the state executed in the production management unit Thus, optimal welding conditions can be provided.