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中国工程院院士王国法解读《关于推进“人工智能+”能源高质量发展的实施意见》
Zhong Guo Dian Li Bao·2025-09-22 00:57

Core Viewpoint - The release of the "Implementation Opinions" marks a strategic deepening of the "Artificial Intelligence +" initiative in the energy sector, particularly for the coal industry, which is crucial for ensuring energy security and transitioning towards high-end, intelligent, and green development [2][17]. Group 1: Opportunities for Coal Industry Transformation - The coal industry is positioned to leverage artificial intelligence for high-end, intelligent, and green transformation, ensuring energy security during the transition [3][5]. - The coal sector is identified as a key testing ground for the application of artificial intelligence in the real economy, with coal production expected to account for 66.6% of primary energy production and 55% of consumption from 2021 to 2024 [3]. - The implementation of AI in coal mining is seen as a critical opportunity to create a new "resource-energy-ecology" integrated smart ecosystem by 2035 [4]. Group 2: Technological and Operational Upgrades - The coal industry is transitioning from algorithm assistance to a "professional large model + multi-technology collaboration" approach, enhancing core processes like geological exploration and mining operations [7]. - The focus is on achieving intelligent control and autonomous decision-making in production processes, with an emphasis on reducing human involvement in operations [8]. - The coal sector is encouraged to innovate across the entire value chain, integrating mining, transportation, and processing to create a cohesive operational model [9]. Group 3: Addressing Challenges in AI Implementation - Establishing a unified data standard and comprehensive perception system is essential to overcome data sharing challenges within the coal industry [10]. - The development of reliable intelligent equipment is prioritized, with a focus on creating a smart hardware ecosystem that integrates algorithms into core mining machinery [11]. - The coal industry is urged to enhance collaboration through industrial internet technologies, enabling real-time data sharing and adaptive production processes [12]. Group 4: Long-term Development and Innovation Ecosystem - The coal industry's smart transformation requires a collaborative innovation ecosystem, integrating data, technology, and application to achieve systemic upgrades [13]. - There is a strong emphasis on cultivating interdisciplinary talent that combines mining expertise with artificial intelligence skills to support the industry's transition [14]. - Establishing ethical and safety standards for AI applications in coal mining is critical to ensure reliable and secure operations [15]. - A long-term development mechanism is necessary to create a sustainable cycle of value creation and benefit distribution within the coal sector [16].