炼钢不再凭经验靠感觉 ——南钢以智能技术驱动产业升级

Core Viewpoint - The integration of artificial intelligence with traditional steel manufacturing is transforming production processes, enhancing transparency and efficiency in operations [1][2]. Group 1: Digital Empowerment of Production - The Nanjing Steel Group has implemented a digital twin technology that allows real-time monitoring of the entire steel production process, significantly improving operational efficiency and product quality [2][3]. - The first-grade production rate of molten iron has increased from 80% to 99% due to the optimization of the iron-making process through advanced technologies [2]. - The introduction of over a thousand sensors around the blast furnace enables real-time data collection, leading to a trend analysis prediction accuracy of over 90% for furnace temperature [3]. Group 2: Innovation Leading Intelligent Manufacturing - The company has developed an industrial internet platform that integrates various data sources, enhancing energy management and production efficiency [4]. - The ongoing digital transformation is in its second phase, focusing on artificial intelligence and data assetization as key drivers for innovation and value creation [4][5]. - The launch of the "Yuan Ye Steel Big Model" aims to facilitate interaction with production systems through natural language, making AI technology accessible to non-professionals [5]. Group 3: Value-Driven Development - Digitalization has led to a comprehensive value enhancement for the company, with a 12% reduction in comprehensive energy consumption per unit of output and a 9% decrease in total costs across the supply chain [6]. - The company has been recognized as a leading intelligent factory, reflecting its 20 years of digital transformation efforts and the establishment of a five-level digital twin system [6][7]. - The company has contributed to over 100 international and national standards and holds more than 4,700 patents, showcasing its commitment to technological advancement and industry leadership [7].