Intelligent process diagnosis system for wide strip cold rolling
With the widespread application of big data technology globally,profound and significant transformations have taken place across various industries,and the steel industry is also progressively integrating into new paradigm of intelligent development,gaining fresh momentum.The synergy of mechanistic models and big data analytics has the potential to tackle many intractable on-site issues,marking the inception of novel research paths.It revolved a-round prevalent process and quality issues in the wide strip cold rolling production,such as strip breakage,misalign-ment,and slippage,and had devised a sophisticated intelligent diagnostic system for the cold rolling process based on the pickling,rolling and tandem cold mill units of the Ansteel 2130 production line.Based on expert knowledge and potent big data analytics approaches,the system delved into production process data to unearth the influence patterns of raw materials,equipment,production,and process on production stability and product quality.Moreo-ver,the system dissected potential issues related to production efficiency and process quality,thus providing robust technical support for enhancing quality,augmenting efficiency,and reducing costs for the production line,which were essential for the transition to a"smart factory"in cold rolling operations.The deployment and application of the system have markedly improved the production efficiency and product quality of the line,yielding notable eco-nomic benefits for the enterprise.The research results have practical value in promoting the intelligent development of the steel industry,optimizing production processes,and improving product quality.
cold rollingmechanism modelbig data analysisproduction stabilityproduct quality
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万方数据
