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]

Core Insights - The first World Smart Mining Conference was held in Qingdao, Shandong, focusing on "Digital Transformation and Intelligent Development in Mining" to promote industry renewal and the application of AI technology in mining [1][2] - The China Coal Science and Technology Group showcased advanced technologies and innovations, including the "Solar Stone Mining Big Model," which provides efficient cognitive services for mining enterprises [1][2] - The conference highlighted the importance of collaboration among government, academia, and industry to drive innovation and address challenges in the mining sector [3] Group 1 - The conference aimed to establish an international platform for technological exchange and showcase the latest achievements in intelligent coal mine construction and safety governance [1] - The "Solar Stone Mining Big Model" serves as a crucial support for smart mining construction, integrating various products for intelligent mining, safety monitoring, equipment operation, and data management [1][2] - The "Ditu Series" provides precise decision-making outputs for complex underground engineering scenarios, focusing on structure, physical properties, stress, and decision-making [1] Group 2 - The intelligent wearable devices, such as the smart helmet for miners, offer real-time operational information and monitor work environments to reduce the risk of pneumoconiosis [2] - The exhibition attracted numerous visitors from government, academia, and enterprises, facilitating in-depth discussions on technology applications, product needs, and cooperation models [2] - Experts from the China Coal Science and Technology Group shared their research and practical experiences in various forums, contributing to the discourse on intelligent mining and drawing inspiration from international advancements [2] Group 3 - As the leading unit of the Mining Industry Promotion Group under the China Artificial Intelligence Industry Development Alliance, the China Coal Science and Technology Group aims to be a pioneer in new productive forces in the mining sector [3] - The company focuses on AI, intelligent equipment, new materials, and new energy, striving to achieve significant technological breakthroughs and create market value in emerging industries [3] - The initiative aligns with China's energy security strategy, emphasizing innovation and the industrial application of AI technology in mining [3]

6月23日，2025世界矿山大会在青岛召开。大会期间，中国联通智慧矿山军团（山东）与山东大学数智技术 装备研究院共同成立"人工智能+矿山数智应用创新实验室"，现场展示联合实验室首期成果。中国工程院院 士王国法、山东大学数智技术装备研究院院长赵国瑞、山东联通副总经理林军、山东联通工业互联网中心 总经理黄戈、副总经理于涛等相关专家领导出席仪式。 此次揭牌仪式同步展示矿山人工智能+数智应用创新实验室首期四项成果，涵盖AI+皮带精准撕裂识别模 型、AI+井下精准识别模型、双碳节能平台和矿山预警诊断平台。首批成果是双方"人工智能+数智应用"深 度融合的实践探索，具备智能化强、适用性广等特性，能够有力推动矿山行业由高危作业向本质安全转 型，促进风险隐患由传统的"人检"向高效的"智检"转变，为发展新质生产力提供坚实支撑。 "智领矿山，创领未来"，中国联通智慧矿山军团（山东）作为服务矿山智能化建设的重要力量，将继续紧 跟国家"人工智能+"战略升级，落实集团融合创新战略，助力行业转型迈向智能矿山新时代。 （通讯员 任晓娥 侯海敬） 矿山人工智能+数智应用创新实验室是深入贯彻"人工智能+"行动战略、落实新型工业化任务的关键实践载 ...

智通财经6月6日电，市场监管总局（国家标准委）近期下达一批矿山安全强制性国家标准制修订专项计 划，为矿山安全生产和安全监管监察提供标准助力。本批计划共34项，按照"一件事、全链条"的原则， 基本覆盖矿山建设、矿井通风与防尘、火灾与水害防治、尾矿库安全、隐蔽致灾因素普查、煤矿仪器仪 表、矿山智能化以及安全管理等重点领域。其中，29项为首批矿山安全领域强制性行业标准转化为强制 性国家标准项目，对推动矿山安全高质量发展具有重要支撑作用。 34项矿山安全强制性国家标准专项计划下达 ...

Core Insights - The smart mining market in China is experiencing significant growth, projected to reach 67 billion yuan by 2025 and exceed 120 billion yuan by 2035, driven by policy demands, industry recovery, and differentiated technology investments [1] Group 1: Policy Drivers - The Chinese government has implemented several policies to accelerate the smart transformation of mining, including guidelines that require large non-coal mines to achieve overall intelligence by 2026, pushing companies to increase technological investments [2] - A three-tiered policy implementation mechanism has been established, with central coordination, detailed directives from ministries, and local execution [2] - The integration of smart mining levels into green mining assessment indicators highlights the importance of technological advancement in the sector [2] Group 2: Industry Recovery - The recovery of the coal industry, following a downturn, has provided a financial foundation for smart transformation, with coal production in 2023 reaching 4.71 billion tons, a year-on-year increase of 3.4% [4] - Major coal companies are increasing their investments in smart technologies, with a significant rise in the proportion of revenue allocated to these initiatives from 2022 to 2024 [4] - The bidding data indicates a strong focus on infrastructure development, with mechanical equipment bids accounting for 40% and mining support services for 29% in 2024 [4] Group 3: Technological Investment Trends - The smart mining market is characterized by a structural shift towards integrated systems, with key investment areas including information infrastructure (25.2%), intelligent comprehensive mining systems (17.9%), and intelligent tunneling systems (17.8%) [5] - Different technological fields are at varying stages of maturity, with cloud-network integration entering practical application and autonomous driving technology nearing maturity in open-pit mining [6] - The current focus on infrastructure development is gradually transitioning towards a model that integrates both hardware and software solutions, although high-level intelligent applications are still in the early stages of development [6]

Core Insights - The Chinese mining industry is accelerating towards a new era of "green, intelligent, and safe" operations, driven by autonomous driving technology [1][7] - The successful implementation of the autonomous mining truck project serves as a model for the industry, showcasing the integration of smart equipment, digital infrastructure, innovative technology, and operational scenarios [5][6] Group 1: Project Overview - The project involves 19 Yutong new energy autonomous mining trucks that have been operating safely and stably for six months, achieving an average autonomous transport distance of over 11,000 kilometers [3] - The project has a 100% operational efficiency meeting the production needs at the crushing site, with a vehicle attendance rate exceeding 95% [3] - The entire mining operation is covered by 5G, enabling a fully automated process for loading, transporting, and unloading materials, reducing direct production personnel by 78% [3][5] Group 2: Technological Innovations - The autonomous driving system developed by Yikong Zhijia demonstrates adaptability to specific scenarios, enhancing dust control efficiency to 100% and achieving a 100% pass rate for intelligent cleaning technology [5] - The project utilizes a Yutong autonomous driving chassis solution, allowing for intelligent charging and 24/7 operations, ensuring high safety and stability in transportation [5][6] - The 5G private network established by China Mobile provides low-latency and high-reliability communication, connecting "people-vehicles-mines" [5] Group 3: Economic and Environmental Impact - The project has saved approximately 1,500 tons of carbon emissions, demonstrating a dual win in economic and environmental benefits [6] - Significant reductions in labor costs and improvements in operational efficiency have been achieved, with zero accidents reported during transportation [6] - The transition from labor-intensive to technology-intensive operations marks a significant shift in the mining industry [6] Group 4: Industry Transformation - The project exemplifies the shift from traditional mining practices to intelligent operations, eliminating safety hazards associated with the coexistence of people and vehicles [6][7] - The integration of full-process intelligent transformation enhances management efficiency, with real-time monitoring of equipment status through a data platform [6] - The demand-driven innovation model developed through this project provides a replicable solution for technology commercialization in the mining sector [6]

日前，山西省应急管理厅印发《关于规范安全生产领域入企检查活动的办法（试行）》（以下简称《办 法》），旨在进一步规范安全生产领域入企检查活动，减轻企业负担，营造良好营商环境。 为确保执法检查的规范性和公正性，《办法》要求执法检查必须全面使用应急管理部"互联网 + 执法"系 统或国家煤矿安全监管执法系统，规范填报和上传执法文书、音像资料等内容，严格执法程序和标准。 同时，积极推广远程监管，利用在线监控、视频监控、大数据分析等信息化手段，实施远程监管、移动 监管、预警防控等，提高监管效率和精准度。此外，各级应急管理部门还需强化落实重大行政执法决定 法制审核和重大行政执法决定备案制度，充分发挥日常监督作用，确保执法活动合法合规。 此次《办法》的出台，是山西省应急管理厅深化"放管服"改革、优化营商环境的重要举措，将有助于规 范安全生产领域入企检查活动，为企业发展创造更加宽松、有序的环境。 《办法》明确规定，山西省、市、县三级应急管理部门及其所属执法机构在开展执法检查、督导检查、 调查核实等入企活动时，将实行分类分级监管。对于矿山等企业，原则上一家企业对应一个层级的监管 主体。年度检查计划在报本级政府批准后，还需报上一级 ...

Group 1 - The State Council's Safety Committee Office issued a notice emphasizing the need for enhanced safety measures to prevent major accidents, highlighting the importance of political, ideological, and action awareness in safety production work [1][2] - The notice calls for strict supervision of safety in transportation, including rigorous checks on vehicles and vessels, and addressing violations such as overloading and illegal operations [1][2] - It stresses the importance of safety management in construction projects during adverse weather conditions and the need for effective monitoring and early warning systems [1][2] Group 2 - The notice mandates increased safety oversight in crowded venues, urging businesses to address potential hazards in tourist transport facilities and to implement emergency measures during extreme weather [2] - It highlights the need for comprehensive risk management in key industries, particularly in mining and chemical sectors, with a focus on enforcing strict safety regulations and addressing illegal activities [2] - The document emphasizes the importance of emergency response readiness, requiring 24-hour duty systems for key positions and ensuring that rescue teams are prepared for immediate action in case of emergencies [3]

Core Points - The prevention and control of traditional occupational diseases such as pneumoconiosis and noise-induced hearing loss remain challenging, particularly in small and micro enterprises [1][4] - The number of newly reported occupational disease cases in China has significantly decreased from 26,393 in 2013 to 12,087 in 2023, a reduction of 54.2% [2] - New categories of occupational diseases have been added, including occupational musculoskeletal disorders and occupational mental and behavioral disorders, bringing the total number of legally recognized occupational diseases to 12 categories and 135 types [2][3] Group 1: Occupational Health Challenges - The issue of noise exceeding safety standards is still prominent, especially in high-risk industries such as mining and machinery manufacturing [1][4] - The clinical manifestations of new occupational diseases, such as carpal tunnel syndrome, are primarily caused by repetitive tasks and excessive force, leading to nerve damage and pain in the hands [3] - The prevention of noise-induced hearing loss is critical, with the World Health Organization estimating that by 2050, nearly 2.5 billion people will experience varying degrees of hearing loss, with 16% attributed to workplace noise exposure [4][5] Group 2: Regulatory and Preventive Measures - Employers are required to improve processes and equipment, organize work tasks effectively, and reduce the frequency and load of repetitive wrist tasks [3] - Health checks for workers engaged in repetitive wrist activities are mandated, along with the implementation of supportive standards and increased awareness of self-protection among workers [3] - In 2024, the government will conduct on-site testing of occupational disease hazards at 70,000 employers, focusing on 500,000 key positions [4]