石化化工数字化改造空间有多大？

Core Viewpoint - The announcement of the first batch of 15 leading intelligent factories in China, including companies in the petrochemical sector, highlights the significant potential for digital transformation and improvements in this industry [1]. Group 1: Intelligent Factory Development - The construction of intelligent factories is essential for digital transformation, with digital twin factories being a key component of digital engineering [2]. - China Petrochemical's Zhenhai Refining & Chemical Company is the only refining enterprise on the list of leading intelligent factories, achieving full coverage of project phases and integrated business processes through a collaborative digital engineering approach [2]. - The optimization of the entire production chain, from raw materials to product delivery, is a common challenge faced by petrochemical companies during digital transformation [2]. Group 2: Global Optimization Techniques - Global optimization is a foundational technology that enhances production efficiency across various scales and processes, aligning with national strategic needs [3]. - New intelligent global optimization solvers have been successfully applied to processes like wet phosphoric acid production, enabling precise simulations and comprehensive optimizations [3]. - The establishment of a modern management system is crucial for the operation of intelligent factories, as demonstrated by China National Petroleum's Dushanzi Petrochemical Company, which has gained recognition as a benchmark for intelligent manufacturing [3]. Group 3: AI Integration in the Industry - Artificial intelligence (AI) is a transformative technology for the petrochemical sector, with the Kunlun model being the first industry-specific large model approved in China [5]. - The Kunlun model has defined five key objectives, including industry models and application scenarios, and has developed 470 intelligent scenarios to enhance operational efficiency [5]. - China National Petroleum has trained 62 large models across various business lines, leading to initial improvements in operational efficiency [5]. Group 4: AI-Driven Innovations - The focus on computing power, data, and algorithms is essential for upgrading enterprise management and enhancing business efficiency through AI [6]. - The development of AI applications, such as AI-assisted design and material modification, showcases the significant potential of AI in the industry [6]. - A new generation of intelligent factory solutions integrating AI and industrial internet aims to address the diverse needs of the petrochemical sector, enabling fully automated operations and optimized production processes [6].