Research and application of intelligent detection of low size structure defects in continuous casting billet
In the process of iron and steel smelting production,the metallurgical quality of continuous casting billet has a direct impact on the steel quality,and the current production site mainly through the artificial way of casting billet grade assessment,the method of high work intensity,different operators of the quality evaluation is inconsistent,the degree of information is low,and the acidic environment of the operation has a greater harm to the body of the staff.To problems such as low-doubling tissue detection and typical defects of continuous casting billets,this paper uses machine vision,artificial intelligence and other cutting-edge technologies to achieve intelligent judgment and rating of low-doubling tissue defects of multiple types of continuous casting billets,thus improving the overall detection efficiency and rating stability.Meanwhile,the system can improve the quality of low-doubling tissue defects in the harsh environment of high temperature and high dust.It can meet the needs of strong adaptability,high intelligence,rapid detection,unmanned intervention,acid and corrosion resistance,then it can achieve the purpose of optimizing personnel configuration,improving process technology and product quality.
low power analysisbillet quality inspectionintelligent detectiondefect identification
国家科技期刊平台
NSTL
万方数据
