基于深度学习的废钢智能验质系统

SCRAP INTELLIGENT QUALITY INSPECTION SYSTEM BASED ON DEEP LEARNING

在钢铁企业中,废钢验质主要依靠人工进行,随意性很大。对废钢验质全过程进行深入分析,设计了一套基于深度学习的全自动无人化废钢智能验质系统,在国内首次实现了钢铁行业关键原材料废钢使用过程中的全自动验判,彻底取代了人工验质,满足现代规模化钢铁冶金企业废钢采购和使用量化表征测试分析需求,钢铁企业实际数据的测试结果表明,所设计的系统避免了人工扣杂的主观性,能够为企业带来巨大的经济效益和社会效益。

In iron and steel enterprises,scrap quality inspection mainly depends on manual work,which is very random.In this paper,the whole process of scrap quality inspection is deeply analyzed,and a set of automatic and unmanned scrap intelligent quality inspection system based on deep learning is designed.It is the first time in China to realize the full-automatic quality inspection of scrap in the use of key raw materials in the iron and steel industry,completely replacing the manual quality inspection,and meeting the needs of modern large-scale iron and steel metallurgical enterprises for scrap procurement and quantitative characterization test and analysis.The test results of the actual data of iron and steel enterprises show that the system designed in this paper avoids the subjectivity of manual deduction,and can produce huge economic and social benefits for enterprises.