业界：将《关于深入实施“人工智能+”行动的意见》转化为提质增效实际动能

Core Viewpoint - The recent issuance of the "Opinions on Deepening the Implementation of 'Artificial Intelligence+' Action" by the State Council marks a transition of "Artificial Intelligence+" from concept to large-scale application, providing strategic guidance for the oil and chemical industry to embrace the intelligent era [1] Group 1: Industry Application of AI - The application of AI in the chemical industry has progressed from initial exploration to large-scale implementation, significantly shortening the R&D cycle for new materials through molecular simulation and high-throughput computing [1] - Intelligent optimization control systems and digital twin technology are becoming widespread in production processes, effectively enhancing production efficiency and energy utilization [1] - AI-driven intelligent monitoring and risk warning systems have become standard in safety and environmental protection, greatly reducing accident rates [1] Group 2: Challenges in AI Adoption - The chemical industry faces challenges such as data silos, insufficient computing power, and a shortage of interdisciplinary talent, necessitating breakthroughs through policy guidance and technological collaboration [1] - The slow advancement of "Artificial Intelligence+" in the chemical sector is attributed to the industry's unique requirements for stability and safety, which traditional AI models struggle to meet [2] - Data heterogeneity and the prevalence of data silos among different systems like DCS and MES hinder effective AI integration [2] Group 3: Recommendations for AI Integration - Experts suggest accelerating the construction of a diverse adaptive technology system, integrating mechanism-driven and data-driven approaches, and establishing a safe and trustworthy AI framework [3] - A "three-step" strategy is recommended, focusing on demonstration and phased implementation, system integration, and ecosystem building to achieve a leap from automation to intelligence [3] - The chemical industry should concentrate on five key application scenarios: "AI+ R&D," "AI+ Production," "AI+ Safety and Environmental Protection," "AI+ Supply Chain," and "AI+ Services," while establishing a four-dimensional support system [3] Group 4: Company Initiatives - The Henan Xinlianxin Group aims to accelerate its intelligent transformation by integrating "Artificial Intelligence+ Manufacturing" into its industrial production processes [4] - The company plans to utilize new-generation AI technologies, such as big data intelligence and digital twin factories, to enhance safety production and transition from passive responses to proactive warnings [4]