选煤厂智能化是煤炭洗选高质量发展的核心技术支撑。针对选煤厂智能化建设亟需顶层设计这一问题，从选煤厂数字化转型的根本目的和基本动机出发，首先基于选煤厂智能化建设的底层逻辑论述选煤厂智能化建设的技术目标和根本任务；然后基于分层架构思想，设计选煤厂智能化建设“四横三纵”的总体技术架构，提出选煤厂智能化建设的5项核心能力要求——“透彻感知、深度互联、自主学习、智能应用、全局协同”；进一步基于能力成熟度思想，指出选煤厂智能化建设分级达标的技术路径和各阶段需完成的重点工作，包括初级阶段的选煤数据集成、中级阶段的业务优化算法研发和高级阶段的选煤人工智能大模型赋能；最后基于复杂系统发展规律，凝练选煤厂智能化建设的96字方针，指明选煤厂智能化建设的技术策略，以期从顶层设计角度为选煤厂智能化建设的技术实现提供参考。

Intelligentization of coal preparation plant is the core technical support for the high-quality development of coal washing. This study targets at the top-level design for the intelligent construction of coal preparation plant. Departing from the fundamental purpose and motivation of digital transformation of coal preparation plant, we 1) discuss the technical objectives and major tasks of intelligent construction of coal preparation plant based on the underlying logic of intelligent construction of coal preparation plant; 2) propose the overall technical architecture of CNSASSM for the intelligent construction of coal preparation plant based on layered architecture, with five core competence requirements: "thorough perception, deep interconnection, autonomous learning, intelligent application, and global coordination"; 3) point out the technical pathway for intelligent construction of coal preparation plant and the major tasks to be completed at each phase based on capability maturity, including the integration of standard coal preparation data at the primary phase, the research and development of business optimization algorithms at the intermediate phase, and the empowerment of artificial intelligence model on coal preparation at the advanced phase; 4) generalize a 96-word guideline of technical strategies for intelligent construction of coal preparation plant based on patterns of complex system development, so as to provide reference for the technical realization of intelligent construction of coal preparation plant from the perspective of top-level design.