With advanced communication and internet technology, the intelligence level of steel mills has been greatly improved, and more automation functions such as online automatic tracking and monitoring, loading, cutting, sampling,stacking have been realized, that reduces workers' labor intensity, significantly improves plant efficiency and products get good consistency.
More and more steel factories have achieved automatic coding work to billets or rolled products high efficiency, that can reduce risks of the workers who work in high temperature and dust concentration.
Electromagnetic ultrasonic non-contact mode online detects flaw of the products without coupling agent rapidly. After the flaw detection is completed, it can quickly give the inspection map and quality assessment.
Billet surface defects online inspection system, that combines machine vision, machine learning, pattern recognition technology, online acquires to surface images of the billet, and makes real-time analysis and recognition of surface image defects, and can determine the type of defects; accurate positioning and complete generation of defect reports and review quality of th product by the relevant rules. The traditional inspection methods have inconsistent results, and the billet with high temperature is difficult to visualize.
Equipped with high precision video detection, infrared temperature detection, carbon monoxide detection and pipe breakage detection, it can independently complete actions such as getting on and off elevators, climbing stairs, reading records, holding and carrying dangerous items, planning and re-planning paths.
Current robots are working at dangerous and special surroundings, the intelligent technology will help the steel industry to more environmentlly-friendly and high efficiency.
