Nisco(SH:600282) Sou Hu Cai Jing·2025-06-23 23:49Core Insights - The steel industry in China is undergoing a significant transformation through the integration of information technology, highlighted by the launch of the "Yuanye Steel Model" in collaboration with Huawei [1][6] - Nanjing Steel Group aims to become an internationally respected enterprise by fully digitizing its operations and exploring new business models, focusing on both "industrial intelligence" and "intelligent industry" [3] - The company has established a unique digital operation management system, enhancing capabilities in energy management, quality control, delivery efficiency, cost control, and procurement marketing [3][6] Digital Transformation - Nanjing Steel's digital transformation journey includes the implementation of a "one brain, three centers" management system, achieving comprehensive process integration from production to operations [3] - The company has initiated data governance and is among the first to include data assets in financial statements, receiving accolades in national data competitions [3] Intelligent Development - The "Artificial Intelligence Hundred Scenes Thousand Models" initiative has led to the development of over 120 AI models, significantly boosting the company's resilience [4] - A collaborative effort with Huawei aims to accelerate the intelligent transformation of the steel industry through the "Steel Big Model Hundred-Day Campaign" [4] Innovation in Data Management - The launch of the "Yuanye Steel Model" signifies a major step in Nanjing Steel's digital transformation, integrating various AI models with industry mechanisms to create a dual-driven intelligent model cluster [6] - The company has built a "cloud-edge-end" big data platform for data aggregation and real-time monitoring, ensuring data quality and reliability [6] Achievements in Smart Manufacturing - Nanjing Steel has achieved notable results in smart R&D and quality control, reducing R&D costs and time through AI capabilities [8] - The application of mechanical performance prediction models has improved product yield and delivery efficiency, while visual models have enhanced quality inspection processes [8]