SUPCON Technology (SH:688777) 3 6 Ke·2025-12-03 06:46Core Insights - The WISE 2025 conference in Beijing focuses on the intersection of technology and business, emphasizing immersive experiences rather than traditional industry summits [1] - The conference aims to explore the future of business in 2025, highlighting trends and insights derived from practical commercial experiences [2] Industry Challenges and Opportunities - The Chinese manufacturing sector faces dual pressures of overcapacity and energy conservation, particularly in high-energy, high-risk process industries [3] - The founder of Zhongkong, Chu Jian, suggests that AI can fundamentally transform industrial production by addressing the "chef's dilemma" of reliance on human experience versus system optimization [4] Key Points from Chu Jian's Presentation - The fundamental contradiction in process industries is the reliance on experience, leading to instability in quality and energy consumption [4] - To overcome this, there is a need to integrate industrial data, scientific principles, and AI models to move from "perception" to "optimization" [4] - AI must create measurable benefits for industries, with a potential profit space of trillions; a mere 3% efficiency improvement could yield 2 trillion yuan in profits, while a 1% reduction in emissions could decrease carbon output by 100 million tons [4][11] Industrial Context - China's total industrial revenue is approximately 20 trillion USD, with process industries accounting for about 60 trillion yuan [6] - Process industries, while comprising only about 9% of the 50,000 large manufacturing enterprises, have a high output value and significant carbon emissions, contributing to 80% of national emissions [6] - The automation level in process industries is high due to their inherent safety risks and operational characteristics [6][8] AI Implementation in Process Industries - Zhongkong has developed a time-series model, TPT (Time-series Pre-trained Transformer), which processes interconnected time-series data to optimize industrial operations [10] - The model has successfully addressed various operational challenges, such as improving ethylene yield in a major ethylene production facility, resulting in annual benefits exceeding 20 million yuan [10] Future Outlook - The integration of AI in process industries presents vast opportunities for enhancing industrial competitiveness and addressing core issues like safety, quality, and cost reduction [8][11] - The market potential is enormous, with the possibility of creating significant value through AI applications in industrial settings [11]