位于山西省吕梁山麓汾阳市三泉镇的华晋焦煤有限责任公司龙峰煤业矿区，万兆工业环网正无声地传输 着井下每一个角落的实时数据；汾西矿业（集团）有限责任公司设备修造厂里的焊接机器人臂影翻飞， 焊花在智能操控下绽放出精准的弧光；西山煤电（集团）有限责任公司马兰矿的调度指挥中心内，工作 人员轻点屏幕，百米井下的采煤机便应声启动，乌金如浪潮般涌向地面。 山西焦煤煤炭事业部、机电部部长吴旭东表示，集团正全面加力推进煤矿智能化建设。按照企业规划， 到2026年，煤矿智能化产能占比将超80%。 数据协同 在汾西矿业设备修造厂焊接车间，有着20多年经验的焊接师傅张勇正与他的"新同事"——中部槽焊接机 器人默契配合。机械臂精准挥动，弧光轨迹稳定流畅，一块块刮板输送机部件在自动化操作中完美呈 现。"以前2个人忙活2个小时才能做出一节中部槽。现在我只需操作显示屏，75分钟就能完成一节，产 品合格率达到100%。"张勇告诉记者。 作为我国炼焦煤产销量全球领先的能源企业，山西焦煤集团有限责任公司以智能为笔、以科技创新为 墨，在三晋大地上书写着传统煤炭产业向新质生产力跨越的时代答卷。2025年，这场深刻的"智"变已渗 透企业的各个环节，让"黑 ...

央视网消息：目前，我国北方地区已进入供暖季。随着季节性用能高峰到来，能源安全稳定供应是否有保障？ 记者从中国煤炭工业协会了解到，10月份，规上工业原煤产量4.1亿吨，日均产量1312万吨。1—10月份，规上工业原煤产量39.7亿 吨，同比增长1.5%。煤炭作为能源"压舱石"，其稳定供应为全国能源安全提供了有力支撑。 中国煤炭工业协会新闻发言人 张宏：全国煤炭市场供需形势总体呈现国内产量增加、进口煤下降，需求拉动偏弱，市场供应相对宽松 态势；煤炭产运需企业要根据气候变化情况，及时做好煤炭供需衔接，确保电煤稳定供应、确保居民供暖用煤需要。 煤炭企业加紧生产 优质产能持续释放 迎峰度冬关键时期，全国煤炭企业正多措并举，全力保障煤炭稳定供应。 在内蒙古锡林郭勒盟，这家煤业公司的全自动装车系统正高效运转，将管道中的原煤精准快速地装入列车。一列满载3600吨煤炭的火 车随即启程，发往全国多个地区，为当地能源供应提供支撑。企业负责人表示，每日原煤产量可达7.5万吨，外运装车日运量在18列火 车满载6万吨电煤，最大煤炭库存量一度突破35万吨，在冬季极端天气下仍可满足连续7天的外运需求，全力保证冬季煤炭稳定供应。 在黑龙江龙煤 ...

Core Insights - The coal industry is undergoing a significant transformation driven by AI and digital technologies, moving towards smarter, safer, and more efficient operations [1][7] - The collaboration between Shandong Energy Group, Yunding Technology, and Huawei has led to the development of the world's first commercial AI model for the coal mining industry, marking a shift from a "workshop" to a "factory" model of AI deployment [1][3] Group 1: Industry Challenges and Transformation - The coal mining sector in China has over a thousand large-scale mines, many of which still rely on manual inspections and traditional maintenance methods, leading to high energy consumption and low efficiency [2] - The complexity of underground environments poses significant safety risks, especially in older mines, making the digital transformation of the coal industry essential for improving production efficiency and ensuring miner safety [2] - The Chinese government has prioritized the intelligent transformation of coal mines, aiming for large and disaster-prone mines to achieve basic automation by 2025 and full automation by 2035 [2] Group 2: Technological Innovations - The partnership established a joint innovation center in early 2022, focusing on developing a mining AI model that integrates mining data, safety protocols, and operational knowledge [3] - The new AI model allows for real-time monitoring and automatic alerts for safety compliance, ensuring 100% adherence to safety regulations [5] - Advanced technologies, including AI cameras and sensors, have replaced traditional manual safety checks, significantly enhancing operational efficiency and reducing downtime [5] Group 3: Environmental and Operational Benefits - The implementation of AI in coal washing processes has led to a 0.2% increase in production efficiency, translating to an additional 5,000 tons of high-quality coal annually for a mine processing over 2.3 million tons [6] - The coal washing facilities have achieved zero wastewater discharge, with significant reductions in environmental pollution, showcasing the industry's shift towards sustainable practices [6][7] - The collaboration has resulted in the application of AI across over 180 scenarios in mining, transforming the industry into a safer, more efficient, and environmentally friendly sector [7]

Core Insights - The Shandong Provincial Energy Bureau and the National Mine Safety Supervision Bureau of Shandong have jointly issued an action plan to accelerate the high-quality development of the coal mining sector through artificial intelligence (AI) by 2027, aiming for full AI scenario coverage and over 95% of coal production to be intelligent [1][2] Group 1: AI Implementation Goals - By 2025, the plan targets a 90% share of intelligent coal mining production and aims to cultivate a number of replicable intelligent benchmark coal mines [2] - By 2026, key areas of provincial and major city coal mines will complete AI scenario construction, creating regional demonstration effects [2] - By 2027, the goal is to achieve full AI scenario coverage in coal mines across the province, with intelligent mining production exceeding 95% and a significant increase in the replacement rate of dangerous and heavy-duty positions with intelligent equipment and robots [2] Group 2: Strategic Focus Areas - The action plan emphasizes a core direction of "mechanization replacing manpower, automation reducing manpower, and intelligence achieving unmanned operations," focusing on upgrading intelligent mining equipment and expanding the application of robots in hazardous positions [1] - It proposes a comprehensive support system consisting of "dedicated networks + computing power facilities + industry data sets + vertical large models" to achieve centralized control of AI systems in coal mines [1] - The plan highlights the deep integration of AI technology in four key areas: intelligent prevention and control, disaster early warning, equipment operation and maintenance, and knowledge application [1] Group 3: Supportive Measures - The action plan outlines three major support measures: system construction, talent support, and financial assistance, aiming to establish a standardization system, cultivate versatile technical talents, and increase special funding investments [2] - It promotes a collaborative approach through "pilot first - standard refinement - large-scale replication," intending to provide a replicable "Shandong experience" for the national coal mine intelligent transformation [2]

Core Insights - The 21st China International Coal Mining Technology Exchange and Equipment Exhibition successfully concluded, focusing on intelligent, informational, and safe production technologies in the coal mining industry [1] - The event attracted hundreds of mining equipment and communication technology companies from both domestic and international markets [1] Group 1: Company Highlights - Fiberroad showcased multiple industrial switches and underground communication solutions, drawing attention from industry experts, system integrators, and coal mining representatives [3] - The company emphasized its innovative TSN switch combined with 5G for coal mine communication applications, addressing the need for high real-time and reliable communication in underground environments [4] - The TSN technology enables low-latency and high-deterministic data transmission, enhancing the stability and safety of underground communication, and supporting remote control, video monitoring, and automated excavation [4] Group 2: Product Innovations - The FISE205T1 non-managed industrial Ethernet switch module was highlighted for its compact design, featuring two gigabit T1 vehicle Ethernet interfaces and three hundred-megabit Ethernet interfaces [5] - T1 interface technology offers single-pair twisted pair gigabit communication, strong anti-interference, and stable transmission, making it suitable for narrow underground spaces and complex electromagnetic environments [5] - The product is particularly effective in reducing cable layout volume and failure points, especially for dynamic control scenarios in hydraulic supports and excavation equipment [5] Group 3: Future Directions - Following its successful participation in the 25th China International Industrial Expo, Fiberroad continues to demonstrate its ongoing innovation in industrial communication, TSN, PoE, and intrinsically safe network devices [6] - The company aims to deepen the integration of TSN, T1 vehicle Ethernet, and industrial 5G technologies, providing safer, more efficient, and reliable network communication solutions for the coal mining industry [6]

Core Insights - The 21st China International Coal Mining Technology Exchange and Equipment Exhibition is held in Beijing from October 28 to 31, focusing on "New Quality Empowerment, Intelligent Future" [1] - The exhibition showcases the latest technologies and equipment in coal mine intelligent construction, green low-carbon transformation, clean and efficient utilization, and new energy [1] - The event attracts over a thousand well-known enterprises from 17 countries and regions, covering an exhibition area of over 160,000 square meters with 11 themed exhibition halls [1]

Core Insights - Tianma Zhikong Technology Co., Ltd. reported a revenue of 1.08 billion yuan and a net profit of 79 million yuan for the first three quarters of 2025 [1] - The company focuses on the research, production, sales, and service of unmanned intelligent mining control technology and equipment, while also expanding into discrete intelligent control industries [1][2] Company Performance - For the first three quarters of 2025, Tianma Zhikong achieved a revenue of 1.08 billion yuan and a net profit of 79 million yuan [1] - The company is recognized as an industry leader, providing technical support for 34 award-winning mining faces in the 2024 National Coal Mine Intelligent Innovation Competition, accounting for 46% of the total [2] Industry Context - The Chinese government has prioritized coal mine intelligence as a key development area, which is crucial for enhancing safety and ensuring stable coal supply [2] - As of the end of Q1 2025, there are 907 intelligent coal mines and 1,806 intelligent mining faces established nationwide, indicating significant room for growth in the sector [2] - The continuous improvement of intelligent mining technology and equipment is expected, with accelerated updates of existing technologies [2] Strategic Focus - The company is actively optimizing and expanding its unmanned discrete intelligent control industry, focusing on intelligent manufacturing and precision oil pressure numerical control [1][2] - Tianma Zhikong aims to leverage its experience in smart factory construction to provide comprehensive solutions for discrete manufacturing enterprises, potentially becoming a second growth curve for the company [2]

Core Insights - The article emphasizes the critical role of technological innovation as the primary driving force for development and core competitiveness for enterprises, particularly in the context of state-owned enterprises in Shanxi Province [1] Group 1: Importance of Technological Competitiveness - Enhancing technological competitiveness is not optional but essential for survival, especially for traditional industries like Huayang Group, which faces pressures from both transformation and competition [2] - Huayang Group's dual-driven development strategy outlines a clear roadmap for upgrading industries through technological innovation, focusing on both strengthening traditional coal industries and expanding into new energy and materials [2][3] Group 2: Achievements in Technological Innovation - Huayang Group has achieved significant milestones, such as completing the goal of comprehensive coal mine automation three years ahead of schedule, positioning itself as a leader in intelligent coal mining within Shanxi Province [2] - The company has developed a complete industrial chain for sodium-ion batteries, with its sodium-ion emergency power supply system recognized as a major technological equipment by the state, marking a transition from "follower" to "leader" in the industry [2] Group 3: Practical Applications and Innovations - In intelligent coal mining, Huayang Group has implemented advanced systems for remote control and monitoring, achieving a high operational efficiency rate of 99.74% in its national-level intelligent coal preparation plant [3] - The sodium-ion battery technology has been applied in various scenarios, including safety lighting for miners and solar-powered streetlights, demonstrating its versatility and impact on operational efficiency [3] Group 4: Building an Innovation Ecosystem - The enhancement of technological competitiveness relies on a robust innovation ecosystem, with Huayang Group focusing on "production, learning, research, and application" integration and increasing R&D investments [5] - The company aims to foster a culture of innovation at all levels, encouraging small-scale innovations that contribute to overall technological vitality [6] Group 5: Future Outlook - Looking ahead, Huayang Group plans to leverage major projects and an improved innovation ecosystem to continuously enhance its technological competitiveness, positioning innovation as the core engine for high-quality development [6]

Core Viewpoint - The article highlights the significant advancements in coal mining technology in Shanxi, focusing on the shift towards intelligent coal mines that enhance efficiency, safety, and productivity through automation and AI integration [1][9]. Group 1: Intelligent Mining Operations - Intelligent coal mines in Shanxi are increasingly utilizing automation, allowing for remote control of mining operations and reducing the need for manual labor [2][3]. - The implementation of AI technology in coal mining has led to improved efficiency, with automated coal cutters adjusting operational parameters and enhancing coal quality by reducing impurities [2][3]. - The workforce has been optimized, with a reduction in the number of workers needed per shift from 13 to 7, while increasing output by over 60% [3]. Group 2: Enhanced Operational Environment - The introduction of advanced machinery, such as integrated drilling and anchoring machines, has improved working conditions by reducing noise and physical strain on workers [3]. - AI cameras on conveyor belts now automatically detect foreign objects, preventing equipment failures and ensuring smoother operations [4]. Group 3: Communication and Transportation Improvements - The establishment of 32 5G base stations has significantly improved communication efficiency between underground and surface operations, reducing delays in problem-solving [5]. - The use of UWB (Ultra-Wideband) technology has automated traffic control in underground areas, decreasing travel time to work sites from 90 minutes to 30 minutes [5]. Group 4: Automation in Quality Control and Maintenance - The implementation of robotic systems in coal quality testing has streamlined operations, allowing for automated data analysis and reducing human error [6]. - Remote monitoring and control of equipment maintenance have been established, allowing for efficient management without the need for constant on-site personnel [5][6]. Group 5: Safety and Data Management - AI-based warning systems are in place to monitor equipment and personnel behavior, enhancing safety measures in potentially hazardous environments [7][8]. - The establishment of a cloud data center supports real-time data analysis and resource optimization, ensuring the safety and efficiency of mining operations [8]. Group 6: Industry Impact - Shanxi has built 300 intelligent coal mines, with over 65% of coal production capacity now being intelligent, contributing to more than 25% of the national coal output [9]. - The province's initiatives have led to a significant increase in advanced coal production capacity, achieving an 83% share in the overall coal production landscape [9].

Core Insights - The proportion of intelligent coal mining capacity in China has historically surpassed 50%, with over 16,000 high-risk positions replaced by automation, marking a new phase in safe and efficient coal mining development [1][2] Group 1: Intelligent Mining Capacity - As of April this year, 907 coal mines have established intelligent working faces, accounting for nearly one-quarter of the total coal mines in the country [2] - The shift towards large modern coal mines has significantly increased intelligent mining capacity, with 83 super-large coal mines achieving an annual capacity of 1.36 billion tons by the end of last year [2] - Large modern coal mines contribute to 85% of the national coal production, with open-pit mines accounting for about 25% [2] Group 2: Technological Advancements - Companies like Guoneng Group have implemented autonomous driving capabilities in their mining trucks, with 40 trucks operating regularly and transporting approximately 10 million cubic meters of rock this year [2] - The Daqin Coal Mine has achieved an intelligent mining rate of over 89%, reducing the number of workers per shift to five while maintaining a daily coal output of nearly 60,000 tons [3] Group 3: Challenges in Intelligent Mining - Despite high levels of modernization, many large coal mines still face challenges in achieving full automation, particularly in the areas of self-analysis, decision-making, and execution [4][6] - The complexity of geological conditions poses significant challenges for the intelligent construction of coal mines, necessitating focused research and development in these areas [4][7] Group 4: Future Directions - The industry is moving towards "intelligent collaboration," emphasizing the need for improved integration of various intelligent systems and technologies [6] - Companies are planning to enhance their intelligent mining operations by developing a complete intelligent production system that includes autonomous blasting, mining, and transportation processes [6][7]