On-line Detection System Research of Hot-rolled Slab Based on Robot

Abstract

Hot-rolled slab number plays an important role in the production process as the identity identification of hot-rolled slab. Slab quality directly affects and determines the quality of subsequent products. Therefore, the detection of hot-rolled slab defects and identification of slab number play an important role in the billet production process. At present, most of the defects detection of hot-rolled slab in our country still use the method of manual detection to sample and inspect the hot-rolled slab. Therefore, it is imperative to design an automatic detection system to automatically detect the surface defects of steel plate and improve the detection rate the traditional manual record number and sampling quality testing methods of steel mills have been unable to meet the actual production needs. This paper studies on-line detection system of hot-rolled slab based on ABB robot.In this paper, ABB robot, CCD camera, sensor and other hardware equipment are constructed, and digital image processing technology is used to study and design the number identification and surface defect detection system of hot-rolled slab. The functions of number identification and surface defect detection of hot rolled billet are realized. The serial number and surface defect image collection of hot-rolled billet are realized by CCD camera installed on ABB robot, and the movement trajectory of the robot is controlled by software programming to achieve the billet multi-angle shooting and image collection. Using OpenCV as the image processing software, preprocess the collected image information, including image noise reduction, locking the billet area and extracting the billet end face image. The system greatly improves the production efficiency, Product quality and safety of the steel plant.