炼钢不再凭经验靠感觉

Core Insights - 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 in Production - The Nanjing Steel Group has implemented a digital twin technology that visualizes the entire steel production process, allowing for remote operations and real-time data monitoring [2]. - The first-grade production rate of molten iron has increased from 80% to 99% due to the optimization of the entire iron-making process through advanced technologies [2][3]. - The introduction of over a thousand sensors around the blast furnace has enabled real-time data collection, leading to a furnace temperature prediction accuracy exceeding 90% [2][3]. Group 2: Innovation in 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 [4][5]. - The launch of the "Yuan Ye·Steel Big Model" aims to facilitate interaction with production systems through natural language, making advanced technology accessible to non-experts [5]. Group 3: Value-Driven Development - Digitalization has led to significant improvements, including 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 over 20 years of digital transformation efforts and the establishment of a comprehensive digital twin system [6][7]. - Nanjing Steel has contributed to over 100 international and national standards and holds more than 4,700 patents, showcasing its leadership in technological advancements within the industry [7].

炼钢不再凭经验靠感觉 - Reportify