当前，我国煤炭供应正从"提量"转向"提质"，精准满足用煤需求。为推动煤炭分级分质利用，提升商品煤质量，推进煤炭洗选高质量 发展成为必然选择。通过因地制宜选择洗选技术路线，并应用智能化技术让选厂降本提效，到"十五五"末，我国煤炭洗选产能结构预 计将持续优化，智能化选煤厂建设也将取得重要进展。 与此同时，洗选产生的固体废物利用水平也在持续提升。例如，尾煤泥脱水掺配至洗混煤中销售，将煤炭资源"吃干榨净"；矸石直接 用于井下填充，节约能源和运输成本。这些曾经的纯成本支出，正逐渐转变为煤矿的"新增长点"，进一步促进煤炭资源的全面高效利 用。 目前，我国原煤入洗率已达68%。 近期，国家统计局公布2025年全国规模以上工业企业利润显示，石油、煤炭及其他燃料加工业比上年减亏，其中，煤炭开采和洗选业 亏损下降41.8%。 煤炭洗选有何作用 所谓煤炭洗选，既要"洗"也要"选"。洗去混在煤炭中的杂质，保障煤炭供应质量；选出不同类型的煤炭，保障煤炭分级分质利用。煤 炭洗选是煤炭资源开发利用的重要环节，对提高商品煤质量、减少无效运输、提升煤炭清洁利用水平具有重要意义。 "洗选通常包括破碎筛分、分选、脱水脱介、煤泥水处理、产品储存装车 ...

煤仓作为煤矿企业产品储存与中转的核心枢纽，其安全稳定直接关乎全流程生产、人员生命及企业效益。为深刻吸取行业相关事故教训，近年来，内蒙古鄂 尔多斯市中天合创煤炭洗选中心以"源头管控、系统治理、标本兼治、长效运行"为总体思路，持续深入开展煤仓隐患治理工作，通过一系列扎实举措，有效 破解煤仓安全难题，筑牢了煤炭储存与中转环节的安全防线。 一是构建源头防控协同机制。强化与煤矿煤质管理及井下区队联动，紧盯综掘面排水、煤水分离等关键环节，严控原煤水分。通过完善煤质监督考核，落实 责任到人，并合理控制仓位、及时放仓，从源头预防蓬仓、堵仓及水煤窜仓。 二是完善制度压实责任。系统修订涵盖水煤窜仓、蓬堵处理、动火作业等全流程的安全管理制度，特别针对全国选煤厂首例应用的3座气膜薄壳穹顶球型储 仓，制定专项运行、清仓、自燃管理等规定，使安全管理有章可循。同时建立基于智能监测数据的给料机动态巡查机制，配发便携检测设备，提升排查精准 度，并通过多形式培训宣传，强化全员安全意识。 三是改造硬件消除风险。将仓下分散的操作平台整合为贯通式安全检修巡查平台，实现人员在安全区域巡检，并将给料机启停开关集中布置。改造给料机闸 板，实现集控室远程操作 ...

Core Viewpoint - The successful acceptance of the Camel Mountain Coal Washing Plant by the Inner Mongolia Energy Bureau and the National Mine Safety Supervision Bureau marks a new stage in the plant's intelligent construction [1] Group 1: Intelligent Construction and Strategy - The Camel Mountain Coal Washing Plant is focused on the company's "1335" integrated development strategy, aiming to transform the industry from "large and complete" to "strong and excellent" [3] - The plant has established the first national coal selection data standard platform, integrating cloud computing, big data, and artificial intelligence with coal washing technology [3] Group 2: Technological Advancements - The intelligent control center includes intelligent management, control, predictive maintenance, and unmanned operation of washing equipment, significantly improving efficiency and quality while reducing labor costs and safety risks [3][7] - The intelligent application spans the entire production chain, achieving intelligent closed-loop control in key processes, enhancing separation precision and stability [7] Group 3: Operational Efficiency - The newly implemented unmanned intelligent loading system reduces loading time to approximately 4 minutes per vehicle, maintaining a stable daily shipment of over 8,000 tons of mixed coal [7] - The intelligent power supply and distribution system has improved shutdown and startup efficiency by over 50% through AI management and closed-loop control [7] Group 4: Systemic Results - The successful completion of the intermediate intelligent acceptance indicates that the Camel Mountain Coal Washing Plant has begun to establish a production operation model characterized by "comprehensive perception, real-time interconnection, intelligent decision-making, and collaborative control" [9] - This systemic intelligent transformation has led to significant improvements in production efficiency, safety assurance, quality control, and cost management, providing practical experience for the transformation and upgrading of traditional coal washing plants [9]

Core Viewpoint - The coal washing and selection process is crucial for improving coal quality and promoting clean utilization, with significant advancements expected in technology and management practices [1][2] Group 1: Current State and Challenges - The current coal washing situation in China shows a mix of advanced and outdated capacities, with issues in clean production levels and insufficient utilization of coal gangue [1] - There is a need for further regulation and guidance to achieve higher levels of development in coal washing [1] Group 2: Future Goals and Initiatives - By the end of the 14th Five-Year Plan, coal washing facilities are expected to meet the needs of raw coal selection, with continuous optimization of washing capacity structure and significant progress in intelligent coal washing plant construction [1] - The original coal selection rate is anticipated to steadily increase, and the connection between coal products and their upstream and downstream processes will become smoother [1] Group 3: Key Tasks and Technological Advancements - The document outlines seven key tasks focused on enhancing washing capacity, promoting intelligent construction, improving clean and efficient production levels, and strengthening technological research and pilot applications [1][2] - Key equipment development will include large-scale crushing and sorting, centrifugal dewatering, and pressure filtration, with an emphasis on increasing the domestic production rate of electronic components [2] - The establishment of a theoretical system for dry coal selection and the promotion of intelligent dry coal selection technology are also highlighted as priorities [2]

（一）推进洗选产能增优汰劣。强化煤炭洗选能力规划建设，矿区总体规划设计文件应明确提出煤炭洗选加工方案，合理 确定煤炭洗选能力规模、选煤工艺等。新建、改扩建煤矿项目应按照煤炭产业政策要求，配套建设相应规模的选煤厂（选 煤设施），不符合要求的煤矿项目不得竣工验收。新建选煤厂要达到煤炭清洁高效利用重点领域标杆水平，黄河流域内项 目要符合黄河流域工业用水定额要求。加强能耗能效、环境保护、技术工艺等标准规范约束，推动现有落后选煤厂（选煤 设施）升级改造，限期达到煤炭清洁高效利用重点领域基准水平，不能按期改造完成的要关闭退出。鼓励优势企业发挥技 术和管理优势，通过兼并重组等方式整合提升洗选能力小、技术装备落后、综合效益差的洗选产能。 （二）加强洗选智能化建设。新建选煤厂原则上按照智能化标准建设，鼓励现有选煤厂加快开展智能化改造。智能化选煤 厂建设要聚焦排矸、分选、煤泥水处理等主要工艺环节，强化选前选后煤质指标采集分析，增强生产参数调节的智能性和 精准性。同步推进仓储、配煤、装车、煤质检测等辅助环节智能化，配套研发生产组织、产品分析、经营决策等智能管理 系统，提升动态分析决策与全流程智能化运行水平。开展选煤厂智能化技术升级 ...

Core Viewpoint - The National Energy Administration has issued guidelines to accelerate the high-quality development of coal washing and selection, focusing on enhancing production capacity, technological advancement, and environmental standards [1] Group 1: Key Tasks - The guidelines outline seven main tasks, including improving washing capacity, promoting intelligent construction, and enhancing management levels [1] - New coal mining projects must build corresponding coal washing facilities that meet industry standards, with non-compliant projects not allowed to complete acceptance [1] - Existing outdated coal washing facilities must be upgraded to meet benchmark levels, with those failing to do so facing closure [1] Group 2: Environmental and Technological Standards - New coal washing plants are required to achieve benchmark levels in clean and efficient coal utilization, particularly in the Yellow River basin, which must adhere to specific industrial water usage quotas [1] - The guidelines emphasize the importance of energy consumption efficiency, environmental protection, and technological standards in the coal washing industry [1] Group 3: Industry Consolidation - The guidelines encourage leading companies to leverage their technological and managerial advantages to consolidate smaller, less efficient coal washing capacities through mergers and acquisitions [1]

Core Viewpoint - The National Energy Administration has issued opinions to accelerate the high-quality development of coal washing and selection, emphasizing the importance of intelligent construction in new coal washing plants and encouraging existing plants to upgrade their technology [1] Group 1: Intelligent Construction - New coal washing plants are required to be built according to intelligent standards [1] - Existing coal washing plants are encouraged to accelerate their intelligent transformation [1] Group 2: Focus Areas for Intelligent Washing Plants - Intelligent washing plants should focus on key processes such as gangue removal, sorting, and coal slurry water treatment [1] - There is a need to strengthen the collection and analysis of coal quality indicators before and after washing, enhancing the intelligence and precision of production parameter adjustments [1] Group 3: Auxiliary Processes and Management Systems - The initiative includes the simultaneous advancement of intelligent systems in storage, blending, loading, and coal quality testing [1] - Development of intelligent management systems for production organization, product analysis, and business decision-making is encouraged to improve dynamic analysis and decision-making capabilities [1] Group 4: Pilot Programs and Replicability - The implementation of pilot programs for the technological upgrade of intelligent washing plants is planned [1] - The goal is to iterate and upgrade the intelligent production operation systems of washing plants, creating replicable and promotable models for intelligent construction and regular operation [1]

Core Viewpoint - The article highlights the dedication and responsibility of workers in the coal selection plant, particularly during the holiday season, emphasizing their crucial role in ensuring the smooth operation of equipment and the production of high-quality coal [1][8]. Group 1: Worker Responsibilities - Workers, led by Zhang Fei, prioritize equipment maintenance and safety, especially during holidays when others are off [2][3]. - The main duty of the inspection team is to ensure that all equipment is functioning properly to maintain production efficiency [3][7]. Group 2: Equipment Inspection Process - The inspection process involves checking various components of the screening and crushing systems, including vibration screens, belts, and protective devices [3][4]. - Attention to detail is critical, as even minor issues can lead to significant operational disruptions [3][7]. Group 3: Team Dynamics and Morale - The team works collaboratively, with members supporting each other in identifying and resolving potential equipment issues [3][6]. - Despite missing family gatherings, the workers find fulfillment in their contributions to energy supply, reflecting a strong sense of duty [8]. Group 4: Operational Success - The successful startup of the screening and crushing systems demonstrates the effectiveness of the team's efforts [8]. - Following the initial checks, the team immediately transitions to major repairs, showcasing their commitment to continuous improvement and readiness for post-holiday operations [8].

Core Points - The article highlights the dedication and responsibility of the workers at the Juneng Group's coal washing plant, particularly during the National Day holiday, emphasizing the importance of equipment maintenance for continuous production [1][2][3] - The focus is on the inspection and maintenance of critical equipment, such as the screening and crushing systems, to ensure operational efficiency and product quality [1][3] Group 1: Equipment Inspection - Workers, led by team leader Zhang Fei, conduct thorough inspections of the screening and crushing systems to ensure optimal performance and prevent potential issues [1][2] - Key inspection tasks include checking for unusual noises, wear and tear, and ensuring the integrity of critical components like screens and belts [1][2] Group 2: Teamwork and Commitment - The team demonstrates strong collaboration and attention to detail, with each member focused on their specific tasks to ensure the equipment operates smoothly during the holiday [2][3] - Zhang Fei's leadership and the team's commitment reflect the broader dedication of frontline workers in the energy supply sector, ensuring reliable energy for households [2][3]

Core Insights - The article highlights the advancements in smart manufacturing and the integration of 5G technology in the industrial sector in Huainan City, particularly through the case of Huaihe Energy Holding Group's coal washing company and Fuhua Clothing Co., which have adopted intelligent systems and automation to enhance operational efficiency [1][2]. Group 1: Smart Manufacturing and 5G Integration - Huaihe Energy Holding Group's coal washing company has implemented intelligent sampling robots, reducing the need for manual labor and enhancing operational efficiency through centralized automation control of over 3,000 devices [1]. - Fuhua Clothing Co. has reported a significant increase in equipment efficiency from 60% to 82% after adopting "5G+" technology, along with a 35% improvement in raw material inventory turnover and a reduction in urgent order delivery time from 7 days to 48 hours [2]. Group 2: Government Support and Infrastructure Development - The Huainan government has issued a special plan to support the construction of 5G factories, providing up to 500,000 yuan in subsidies to enterprises, with over 80 million yuan disbursed to date [2]. - The city has established 3,987 5G base stations and 46 5G industry virtual private networks in the past three years, integrating data center construction into the national computing network [2].