据悉，煤炭洗选是根据产品质量要求和市场需求，通过物理或化学等方法分离原煤中矸石及杂质，将煤 炭加工成不同规格产品的过程，是煤炭资源开发利用的重要环节，对提高商品煤质量、提升煤炭清洁利 用水平具有重要意义。 "从全国煤炭洗选情况看，加强煤炭洗选工作具备较好的技术和管理基础，智能化建设前景广阔。"国家 能源局煤炭司有关负责同志解读道，一些地区也存在着先进产能与落后产能并存，清洁生产水平不高， 煤矸石处置利用不充分等问题，需要进一步加以规范引导，实现更高水平的发展。 《意见》提出，到"十五五"末，煤炭洗选设施高水平满足原煤入选需要，洗选产能结构持续优化，智能 化选煤厂建设取得重要进展，干法选煤技术逐步推广应用，原煤入选率稳步提高，煤炭产品上下游衔接 更加顺畅，为促进煤炭清洁高效利用提供重要支撑。 《意见》聚焦推进洗选产能增优汰劣、加强洗选智能化建设、提高清洁高效生产水平、加强科技攻关和 试点应用等方面，提出了七项重点任务。 为加强科技攻关和试点应用，《意见》提出，开展特大型破碎分选、离心脱水、加压过滤等关键设备研 发，提升传感、控制等电子元器件国产化率，增强设备运行稳定可靠性。完善干法选煤理论体系，推进 全粒级和智 ...

（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facilities that meet industry standards, with non-compliant projects not allowed to complete acceptance [1] - Existing outdated coal washing facilities must be upgraded to meet benchmark levels, with those failing to do so facing closure [1] Group 2: Environmental and Technological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].

Core Viewpoint - The company has implemented a comprehensive cost control system to enhance cost competitiveness and achieve efficiency improvements through various measures [3] Responsibility System - A five-level cost control system has been established, ensuring that responsibilities are assigned to every position and employee, making cost control a collective responsibility [5] - The system covers all departments and levels, from factory leadership to individual teams, ensuring accountability at every level [5] Control System - The company adopts a normalized and process-oriented management approach, implementing project management for cost control with ten dedicated project teams [7] - Each project team is led by a responsible factory leader, with clear division of responsibilities to ensure ongoing management of cost control indicators [7] - This structured approach enhances the efficiency and orderliness of cost control efforts, avoiding randomness and temporary measures [7] Indicator System - The company has refined its indicator system by breaking down five key performance indicators (KPIs) into 69 sub-indicators, with responsibilities assigned to ten project teams [9] - Out of these, 53 indicators are detailed at the departmental level, and 16 are assigned to workshops, focusing on critical areas such as product quality and materials [9] - The detailed breakdown includes 27 quantifiable indicators from 15 key control indicators, with 21 assigned to teams and 6 to individuals, enhancing the scientific and effective nature of cost control [9]

Core Viewpoint - The Anhui Huaibei Mining Group's Linhuan Coal Preparation Plant has implemented a "5G + Industrial Internet of Things" intelligent management method for coal quality, aiming to enhance operational efficiency and product quality through advanced technology [1][4]. Group 1: Intelligent Management Implementation - The Linhuan Coal Preparation Plant has established a smart control center that displays real-time data on clean coal output, product quality, and production consumption [1]. - The plant has received multiple honors, including being recognized as an intelligent factory and a green factory in China, and is set to be included in the Ministry of Industry and Information Technology's list of 5G factories by the end of 2024 [1]. - The intelligent management system allows for precise quality control across the entire production chain, moving towards safer, more efficient, and greener operations [1]. Group 2: Technological Innovations - The industrial IoT system utilizes a virtual private network to enhance production site 5G network capabilities, supporting around 200 5G smart terminals for various applications [2]. - The intelligent raw coal blending system incorporates weighing and speed sensors to calculate hourly coal feed amounts, while the intelligent filter press system has reduced coal slurry moisture by 4.5% [2]. - The intelligent flotation system maintains the concentration of the feed within a set range, and the intelligent heavy medium system has improved the stability rate of clean coal ash content by 12 percentage points [2]. Group 3: Efficiency and Cost Savings - The intelligent loading system features automatic vehicle recognition and precise measurement, enabling one-click loading and full-process monitoring [2]. - The plant has achieved a reduction in electricity consumption per ton of coal by 11%, saving approximately 15 million kWh annually, and has decreased steam consumption by 44%, saving 14,000 tons of steam [4]. - Overall, the plant has reduced comprehensive energy consumption by over 3,000 tons of standard coal annually, resulting in cost savings of 13 million yuan [4]. Group 4: Future Development - The "5G + Industrial Internet of Things" intelligent management method aims to maximize resource utilization and increase the production of high-value clean coal [4]. - The plant plans to leverage its status as a 5G factory to promote new technologies and models across various operational areas, driving digital transformation and high-quality development [4].