Core Insights - The conference on "AI + Petrochemical Industry Digital Transformation" highlighted the shift of AI technology from single-point applications to platform-based empowerment [1][2] - Experts emphasized the need for the petrochemical industry to focus on data resources and scenario-driven approaches for digital transformation [1] Group 1: Data and AI Integration - The petrochemical industry should reconstruct its data system to ensure data is usable, manageable, and trustworthy [1] - High-value datasets should be developed to drive the evolution of intelligent models, making data usable, trainable, and capable of advancing model performance [1] - A collaborative industry data ecosystem is essential to allow data to flow and unlock industry value [1] Group 2: Safety and Operational Efficiency - Safety in production is a critical focus area for intelligent transformation, with a need for chemical safety education and technological innovation to enhance safety standards [1] - The industry should adopt principles such as reducing human presence in hazardous areas and automating inspections to improve safety levels [1][2] - AI-driven process optimization can provide new pathways for complex chemical process improvements, enhancing safety and reducing workload [2] Group 3: Technological Support and Innovation - The development of an industrial operating system through concept innovation and platform integration can support the industry's transition to smart manufacturing [2] - The launch of the SRA process comprehensive risk analysis software aims to provide systematic and precise risk assessments for complex tank areas, already implemented in companies like Sinopec [2]
2025 AI+石油化工产业数字化转型与融合发展大会： AI正从单点应用走向平台化赋能