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煤科总院携系列AI创新成果 亮相首届世界智慧矿山大会
Zhong Guo Chan Ye Jing Ji Xin Xi Wang· 2025-06-30 02:39
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]
人工智能+矿山数智应用创新实验室成立
Qi Lu Wan Bao· 2025-06-23 10:05
Group 1 - The World Mining Congress 2025 was held in Qingdao, where China Unicom's Smart Mining Corps (Shandong) and Shandong University established the "AI + Smart Mining Application Innovation Laboratory" [1] - The laboratory aims to address challenges in the mining industry, such as poor algorithm reusability, low standardization, and data quality issues, promoting a safe, efficient, and green transformation of the coal mining sector [3][5] - The establishment of the laboratory is seen as a milestone in deepening strategic cooperation and is expected to provide critical support for the industry's transition to intelligent mining through the integration of 5G and AI technologies [3][5] Group 2 - The laboratory showcased four initial achievements, including AI-based models for precise tear recognition on belts, underground identification, a carbon reduction energy-saving platform, and a mining early warning diagnosis platform [5] - These achievements represent a practical exploration of the deep integration of AI and smart applications, aimed at transforming high-risk operations into fundamentally safe practices [5] - China Unicom's Smart Mining Corps (Shandong) is committed to advancing the national "AI +" strategy and supporting the industry's transition to a new era of intelligent mining [5]
34项矿山安全强制性国家标准专项计划下达
news flash· 2025-06-06 08:33
Group 1 - The core viewpoint of the article is the issuance of a special plan for the revision and formulation of 34 mandatory national standards for mining safety by the State Administration for Market Regulation (National Standardization Administration) [1] - The plan aims to provide standard support for mining safety production and regulatory supervision, covering key areas such as mine construction, ventilation and dust prevention, fire and water disaster prevention, tailings pond safety, hidden disaster factor surveys, coal mine instruments, mining intelligence, and safety management [1] - Among the 34 items, 29 are the first batch of mandatory industry standards in the mining safety field that are being converted into mandatory national standards, which is expected to significantly support the high-quality development of mining safety [1]
【高端访谈】智能化转型如何重塑矿山未来?——对话矿山智能化专家王素锋
Xin Hua Cai Jing· 2025-05-19 08:06
Core Viewpoint - The mining industry in China is undergoing a significant technological transformation towards automation and intelligence, driven by strong national policy support and advancements in technology [2][3]. Group 1: Current Development Status - China's mining industry has made notable progress in intelligent construction, with 1,664 intelligent mining faces established and 855 coal mines achieving intelligent production [2]. - The National Energy Group has reached a "100%" intelligent coverage goal across the entire coal production process, including mining, tunneling, and coal preparation [2]. Group 2: Technological Trends and Challenges - The industry is moving towards high power, high voltage, and multifunctional equipment, with mining equipment voltage exceeding 3.3kV and research on 10kV supply technology ongoing [3]. - Challenges include a lack of a coordinated standard system across the industry, insufficient data processing capabilities, and reliance on imported core technology for large equipment operating systems [3]. Group 3: Safety and Innovation Balance - Intelligent technology has significantly improved safety in production, reducing the number of underground workers by 370,000 since 2016 [4]. - New technologies must ensure safety, with considerations for extreme weather reliability and the accuracy of monitoring systems [4]. Group 4: Recommendations for Small and Medium Enterprises - Small and medium-sized mining enterprises should adopt a "small steps, fast pace" strategy, focusing on automating critical operations first [5]. - Collaboration with research institutions and participation in industry alliances can help these enterprises share resources and solutions [5]. Group 5: Future Development Focus - Future efforts should prioritize the development and application of domestic industrial operating systems and the construction of data platforms for better data integration [7]. - Emphasis on transparent geological technology will facilitate more precise mining and intelligent risk warnings [7].
【新华解读】千亿市场加速释放 智慧矿山市场进入高速增长期
Xin Hua Cai Jing· 2025-05-18 15:11
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]
全矿无人作业时代来临 平阴山水石灰岩矿无人驾驶项目树立行业新标杆
Zhong Guo Qi Che Bao Wang· 2025-05-16 06:56
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]
乘“数”而上,构筑竞争新优势(评论员观察)
Ren Min Ri Bao· 2025-05-14 22:41
Core Insights - The digital economy in China has shown significant growth, with the scale ranking second globally and a projected data production growth of 25% in 2024 [2] - The integration of digital technologies into various sectors is enhancing consumer experiences and driving economic development [1][4] Group 1: Digital Economy Growth - China's digital economy scale is expected to reach substantial figures, with data production projected to grow by 25% in 2024 [2] - The total computing power is anticipated to reach 280 EFLOPS, and mobile IoT terminal users are expected to hit 2.656 billion [2] - The country accounts for 61.5% of the global new generative AI patents, indicating a strong position in digital technology innovation [2] Group 2: Digital Infrastructure and Resource Allocation - The construction of digital infrastructure is a priority, with significant achievements in new infrastructure development, particularly in computing power [5] - There are disparities in development between regions and urban-rural areas, necessitating targeted resource allocation to address these imbalances [5] - The release of data element value is crucial, with reforms aimed at promoting efficient and secure data circulation [6] Group 3: Digital Production and Consumption - Digital production capabilities are being enhanced, with platforms like Haier's industrial internet serving 160,000 enterprises to facilitate digital transformation [4] - There is a need to explore the potential of digital consumption by leveraging technologies like AI to create new consumer experiences [4] - Optimizing regulation and addressing consumer pain points are essential for fostering a secure digital consumption environment [4] Group 4: Industry Digitalization - The digitalization of industries is vital, with examples such as smart agriculture and automated mining operations showcasing the impact of data [3] - The integration of digital and traditional industries is expected to expand the scope and depth of the real economy [3] - A balanced approach to digital industrialization and industry digitalization is necessary for sustainable growth [3]
山西出台办法严格规范入企检查 助力企业轻装上阵
Sou Hu Cai Jing· 2025-05-13 18:42
Core Points - The newly issued "Measures for Regulating Enterprise Inspection Activities in the Field of Safety Production" by the Shanxi Provincial Emergency Management Department aims to standardize inspection activities, reduce the burden on enterprises, and create a better business environment [5] Group 1: Inspection Regulations - The measures establish a classification and hierarchical supervision system for inspections conducted by emergency management departments at provincial, municipal, and county levels [3] - Each enterprise, particularly in the mining sector, will correspond to a single level of regulatory authority, ensuring a more organized inspection process [3] - Annual inspection plans must be approved by the local government and reported to higher-level emergency management departments and the same-level disciplinary inspection departments for scientific and standardized oversight [3] Group 2: Inspection Frequency - Coal mining enterprises will be categorized based on safety assurance levels, with a maximum of 6 inspections per year for each enterprise, and 4 inspections for those that are long-term suspended [3] - Non-coal mining enterprises will be limited to 4 inspections annually based on safety risk assessments [3] - Cumulative supervisory inspections are capped at 3 per year for each enterprise, while verification activities will be conducted as needed [3] Group 3: Inspection Procedures and Penalties - The measures require emergency management departments to issue notification letters to enterprises prior to inspections and to publicly disclose inspection items [4] - For minor violations, a lenient approach will be taken, including first-time exemptions from penalties and reduced sanctions [4] - Serious violations, such as repeated offenses or failure to comply with rectification orders, will face stricter penalties, including public exposure and accountability measures [4] Group 4: Implementation and Technology Use - Inspections must utilize the "Internet + Law Enforcement" system or the National Coal Mine Safety Supervision Law Enforcement System to ensure compliance with legal standards [4] - The measures promote remote supervision through online monitoring, video surveillance, and big data analysis to enhance regulatory efficiency and accuracy [4] - Emergency management departments are required to strengthen legal reviews of major administrative enforcement decisions and ensure compliance with legal standards [4]
国务院安委办印发通知
Xin Jing Bao· 2025-05-07 11:18
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]
国家卫健委:职业病目录新增两个类别 加强小微企业职业健康保护
Di Yi Cai Jing· 2025-04-28 12:27
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]