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为煤炭产业全链升级注入“绿色动力”
601330Dynagreen(601330) 中国经济网· Zhong Guo Jing Ji Wang·2025-02-10 23:32

Core Viewpoint - The development and application of the industrial equipment diagnostic AI model by the State Energy Group marks a significant advancement in the digitalization and intelligence of equipment maintenance in the energy sector, enhancing China's competitive edge in the global energy industry [1][2][3]. Group 1: Development of the AI Model - The AI model, named the "Equipment Diagnostic Model," integrates detection, diagnosis, and decision-making capabilities, representing a shift from manual and small model diagnostics to intelligent large model diagnostics [1][2]. - A research team of 14 technical personnel was formed in 2023 to analyze domestic and international industrial equipment diagnostic models, leading to the development of a model capable of diagnosing 137 types of production equipment within 11 months [2][7]. - The model functions as an "intelligent hospital" for industrial equipment, providing precise diagnostics and professional maintenance decisions, thus achieving an integrated approach to equipment maintenance [2][8]. Group 2: Impact on Industry - The AI model has been widely applied in coal, chemical, and electric power industries, addressing issues of low maintenance efficiency and high costs, while facilitating the transition to new energy sources [3][8]. - The model can reduce maintenance time by 10% and improve fault location accuracy by over 30%, resulting in approximately 30% savings in labor costs for industrial enterprises [9][10]. - The integration of AI technology with industrial applications is expected to continue evolving, enhancing the competitiveness of China's energy sector on a global scale [10]. Group 3: Industry Trends - The shift towards digitalization and green transformation has become a dominant theme in the coal industry, with traditional energy companies and emerging AI technology firms actively engaging in the "AI + coal" sector [5][10]. - Innovative applications focusing on precise control and intelligent responses in the coal industry are being developed, contributing to a comprehensive upgrade of the coal industry and reinforcing energy security [5][10].