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智能设备来了,煤矿生产告别“黑脏险”
Ke Ji Ri Bao· 2025-12-17 00:55
AI大模型精准定位潜在故障,并给出专业诊断建议;智能机器人既会检修又能焊接;远程操作平台实现了 煤炭开采"地面操控、井下无人"……科技日报记者日前深入山西焦煤汾西矿业(集团)有限责任公司(以下 简称"汾西矿业"),实地探访人工智能等前沿技术在煤矿产业中的应用场景,感受曾以"黑脏险"著称的 煤矿产业的"智"变。 "我们锚定智能化建设目标,大力推广人工智能、机器人协同作业、远程智能操控等前沿技术,在安全 生产、效率提升、成本管控等方面取得了亮眼成绩,推动煤矿向更安全、高效、绿色的方向迈进。"汾 西矿业有关负责人说。 AI大模型优化决策 "在数字化转型进程中,我们勇于突破传统,积极引入AI大模型,借助AI之力优化企业决策流程。"汾西 矿业机电管理部副部长周顺说。 在传统决策场景中,依靠人工经验难以快速、准确判断故障位置,导致决策效率低下。 "我的'新同事'能全天候监测瓦斯。"汾西矿业水峪煤业公司瓦检队职工雷生平对智能巡检机器人赞不绝 口。 在AI大模型辅助决策场景落地的同时,汾西矿业在生产环节也积极打造智能机器人应用场景。目前, 26台智能巡检机器人已"上岗",覆盖井下变电所、水泵房等关键区域。它们凭借精准的传感器 ...
智能设备来了 煤矿生产告别“黑脏险”
Ke Ji Ri Bao· 2025-12-17 00:50
AI大模型精准定位潜在故障,并给出专业诊断建议;智能机器人既会检修又能焊接;远程操作平台实 现了煤炭开采"地面操控、井下无人"……科技日报记者日前深入山西焦煤汾西矿业(集团)有限责任公 司(以下简称"汾西矿业"),实地探访人工智能等前沿技术在煤矿产业中的应用场景,感受曾以"黑脏 险"著称的煤矿产业的"智"变。 "我们锚定智能化建设目标,大力推广人工智能、机器人协同作业、远程智能操控等前沿技术,在安全 生产、效率提升、成本管控等方面取得了亮眼成绩,推动煤矿向更安全、高效、绿色的方向迈进。"汾 西矿业有关负责人说。 "五述"安全管理平台开发者廉玺透露:"我们在打造该场景时,为AI大模型输入了《煤矿安全规程》、 产品参数、设备说明书以及过往故障信息等海量数据,让模型充分熟悉企业实际情况,从而确保输出的 方案精准可靠,助力企业决策。" 如今,在AI大模型辅助决策场景下,技术人员能够借助平台深入分析设备故障原因,及时处理问题并 做好针对性维护;管理人员可利用平台全面梳理生产组织与安全管理状况,科学规划后续工作。 机器人上岗帮工 "我的'新同事'能全天候监测瓦斯。"汾西矿业水峪煤业公司瓦检队职工雷生平对智能巡检机器人赞不 ...
山西焦煤推进智能化转型 夯实能源安全数智化根基
Jing Ji Ri Bao· 2025-11-24 22:51
Core Insights - Shanxi Coking Coal Group is leading the transformation of the traditional coal industry through intelligent technology and innovation, aiming for over 80% of its coal mining capacity to be automated by 2026 [4][9] - The implementation of smart mining technologies has significantly increased production efficiency and reduced operational costs, with some mines reporting over 60% increase in output and a 16.8% decrease in coal production costs [2][3] Intelligent Mining - The introduction of AI algorithms in coal mining operations has allowed for automatic adjustments in coal cutting speed and direction, leading to a 60% increase in output compared to traditional methods [2] - The Malan Mine has established nine intelligent mining faces, reducing the number of workers needed per shift by 40% through the use of smart equipment [2][3] Safety and Monitoring - The AI early warning platform at the Tunlan Mine provides comprehensive monitoring of production safety, identifying unsafe behaviors and equipment malfunctions in real-time [3] - The integration of AI in safety management has enhanced the monitoring of critical systems, ensuring a safer working environment [3] Data Collaboration - The introduction of intelligent welding robots in the equipment manufacturing sector has improved production efficiency, reducing the time to complete tasks from two hours to 75 minutes while achieving a 100% product qualification rate [5] - The DeepSeek AI model has been utilized to analyze operational data, significantly reducing equipment downtime and improving maintenance efficiency [6] Resource Utilization - The Dragon Peak Coal Mine has implemented a water recycling system that saves 150,000 tons of clean water annually, demonstrating a commitment to sustainable resource management [7] - The integration of intelligent systems in water treatment processes has created a "green closed loop" for water resources [7] Innovation Ecosystem - Shanxi Coking Coal has partnered with technology firms to develop autonomous decision-making systems for mining operations, enhancing efficiency and safety [8] - The company has established a comprehensive intelligent development system, with approximately 289 intelligent coal mines built in Shanxi Province, half of which are operated by Shanxi Coking Coal [8][9] Production and Environmental Impact - In the first three quarters of the year, the proportion of production from intelligent mines reached 72%, an increase of 15 percentage points from the previous year, while energy consumption per ton of coal decreased by 8% [9] - The shift towards intelligent production methods is not only transforming operational practices but also improving the overall quality of development in the coal industry [9]
山西焦煤推进智能化转型—— 夯实能源安全数智化根基
Jing Ji Ri Bao· 2025-11-24 22:10
Core Viewpoint - Shanxi Coking Coal Group is leading the transformation of the traditional coal industry through intelligent technology and innovation, aiming for over 80% of its coal mining capacity to be automated by 2026, enhancing energy security and production efficiency [4][9]. Group 1: Intelligent Mining - The introduction of intelligent mining technology at the Xishan Coal Electricity Malan Mine has increased production by over 60% compared to traditional methods, while reducing the number of workers needed by 40% [2][3]. - The Shuguang Coal Mine under Fenxi Mining has achieved "unmanned" mining operations, with a monitoring platform covering 26 production mines and over 882 devices, leading to a 16.8% decrease in raw coal costs and a 30% increase in production efficiency [3][4]. Group 2: Data Collaboration - The use of welding robots at Fenxi Mining's equipment repair factory has significantly improved efficiency, reducing the time to complete tasks from two hours to 75 minutes with a 100% product qualification rate [5]. - The introduction of AI models in various operations has enhanced decision-making and reduced equipment downtime, with the South Guan Coal Mine integrating AI into its safety management platform, improving efficiency by 40% in safety training and reducing repair times by 50% [6][8]. Group 3: Environmental Sustainability - The Dragon Peak Coal Mine has implemented a water recycling system that saves 150,000 tons of clean water annually, contributing to a "green closed loop" in resource utilization [7]. - The integration of intelligent and green practices has allowed the modernized mine to meet ecological standards while maintaining production efficiency [7]. Group 4: Innovation System - Shanxi Coking Coal has established a collaborative innovation ecosystem with companies like Keda Control and Yushu Technology to develop intelligent systems for narrow underground spaces, enhancing safety and efficiency [8]. - As of August this year, Shanxi Province has built 289 intelligent coal mines, with Shanxi Coking Coal accounting for about half, positioning it as a leader in the province's intelligent construction efforts [8][9]. Group 5: Industry Transformation - The transition from traditional coal mining to intelligent operations is not only changing production methods but also improving overall development quality, with intelligent mines accounting for 72% of total production in the first three quarters of this year, a 15 percentage point increase from 2024 [9]. - The company is committed to advancing its digital transformation by focusing on artificial intelligence, virtual reality, and data-driven decision-making to ensure safe, efficient, and green production [9].