The present invention discloses a parameter
management system for a
soldering station based on AI, which relates to the field of
welding technology. By analyzing in detail the
welding temperature state, appearance state, and morphological state of the
soldering station, key characteristic parameters of
welding quality are extracted, realizing comprehensive monitoring and analysis of the
welding process, which helps to track and analyze process problems in the
welding process and provides important data basis for subsequent
quality control and improvement strategies. By comprehensively analyzing the characteristic parameters, a welding quality index is obtained, and whether the welding parameters need to be adjusted is intelligently judged according to the change trend of the welding quality index, improving the response speed. By comprehensively analyzing the average temperature, average defect, and average
shape deviation, the welding speed is obtained, and dynamic adjustment is carried out according to the welding speed to ensure that the
welding process is carried out in the optimal state, realizing effective control of welding quality, improving product quality and production efficiency, and reducing the quality risk of welded products.