Core Viewpoint - The government report emphasizes the continuous promotion of the "Artificial Intelligence +" initiative, aiming to better integrate digital technology with manufacturing and market advantages, and supports the widespread application of large models [1] Group 1: AI Integration in Coal Industry - Yunding Technology focuses on technological innovation as the primary driver for high-quality development, implementing the "Artificial Intelligence +" initiative to enhance intelligent mining construction [1] - In 2022, Shandong Energy Group, Yunding Technology, and Huawei established a joint innovation center to develop an industrial large model with capabilities in vision, prediction, NLP, and multimodal processing, achieving a 9% increase in accuracy and a 15% increase in recall rate [1] - The development has led to 126 typical application scenarios across various industries, resulting in 52 patents, 38 software copyrights, and 15 papers, with the AI model recognized as internationally leading by the China National Coal Association [1] Group 2: Safety and Efficiency Improvements - Utilizing large model visual capabilities, Shandong Energy Group has implemented intelligent monitoring in key processes, significantly reducing accident rates and enhancing safety production efficiency [2] - The transition from passive human monitoring to proactive AI governance has been achieved through real-time monitoring of unsafe behaviors and equipment defects, optimizing daily inspections and reducing labor intensity [2] - In the Xingshan Coal Mine, the deployment of over 10 intelligent monitoring scenarios has reduced the need for on-site personnel by more than 18 per shift, marking a shift from human oversight to technical defense [2] Group 3: Cost Reduction and Production Optimization - The large model's predictive capabilities have been applied in coal washing processes, allowing for real-time predictions of optimal process parameters, which reduces manual intervention and lowers production costs [3] - The implementation of a heavy medium density control model has improved the yield of clean coal by over 0.2%, resulting in an additional 8,000 tons of clean coal and an estimated revenue increase of approximately 4 million yuan [3] - In the methanol distillation process, the large model's predictive ability has reduced steam consumption by 2%, saving around 2 million yuan annually [3] Group 4: Enhanced Operational Efficiency - By integrating advanced NLP technologies and self-developed intelligent platforms, Yunding Technology has created core business applications that enhance operational efficiency by over 20% [4] - The establishment of a comprehensive AI team has led to the development of standardized solutions, with over 5000 AI application scenarios implemented across 73 organizations, yielding significant economic and social benefits [4] - The strategic approach of piloting applications in specific units and replicating successful models has facilitated the widespread adoption of AI technologies in the energy sector [4] Group 5: Future Development Directions - Yunding Technology aims to deepen its focus on the mining sector while expanding horizontally into chemical, power, oil and gas, and manufacturing industries, accelerating the application of AI in core production processes [6] - The company plans to enhance the intelligent management of business lines and regions by integrating scattered functional models, thereby improving the overall level of intelligence in the mining sector [6] - The initiative is expected to inject new momentum into the green and efficient development of the energy industry, empowering high-quality development in mining through new productive forces [6]