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 ...

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]