经过近几年的努力，选煤厂智能化建设在关键生产环节智能控制、全面的智能管理与智能决策、选煤数据标准化等方面都取得了实质性进展。为总结选煤厂智能化建设成果，文章从选煤厂智能化建设整体发展、重力分选过程智能化、选煤厂智能管理和智能决策、选煤标准数据体系等方面就研究现状、最新进展进行了详细介绍，并对未来选煤厂智能化建设所面临的问题提出了思考。分析认为：从整体发展上看，选煤厂后续智能化建设还任重道远；未来分选系统智能化建设应结合自身工艺特点对分选环节进行全流程、全系统的智能化策略研究，对于两个及以上分选系统要考虑建立全面感知系统，对分选系统数据应进行采集、存储和标准化以便于进行分选效果在线分析与评价；选煤厂智能管理在全局统筹、煤质数据管理、车间及班组管理模块、各层级数据交互、智能元素等方面的发展存在不足，大部分选煤厂在全面数据分析基础上的智能决策建立仍比较缺乏；选煤厂的数据治理工作取得了初步成果；在线监测仪表不准、智能系统运行不稳定、后期维护任务重、人才缺口大、项目缺乏规划等是制约选煤厂智能化发展的共性问题，指出了未来选煤厂进行高级智能化建设的具体工作方向。伴随着智能化选煤厂建设的初步成果，有许多难题派生出来，需要建设者们不懈努力去研究新课题。

Through the efforts made over the recent years, the development of intelligent coal preparation plant has made substantial progress in the field of intelligent control of key coal cleaning process links, comprehensive intelligent management and decision-making, and standardization of data, among others. To summarize the achievement so far obtained in development of intelligent coal preparation plant, the paper presents a detailed introduction to the status quo of the related research work and the latest research progress from the following aspects: overall development, intelligent gravity separation process, intelligent plant management and decision-making, and standard data system of coal preparation operations. The thoughts on the challenges that can be encountered in the development of intelligent coal preparation are shared for consideration. Analysis shows that viewed as a whole, the subsequent development of intelligent plant has to embark on a long road with heavy burdens; for the realization of intelligent coal cleaning system, it is required to carry out strategic research on the possibility to turn all process links and systems into intelligent ones in line with their specific characteristics; for two or more washing systems, the set-up of a comprehensive perception system needs to be considered, so as to realize collection storage and standardization of coal washing data for facilitating online analysis and evaluation of coal separation effect; with respect to intelligent plant management, there exist insufficiencies in the aspects of overall planning, coal property data management, workshop and shift work management modules, interaction of data at all levels, and intelligent elements, and for the majority of the plants nowadays, the capability of realizing decision-making based on comprehensive data analysis is unavailable; plant data management work has achieved initial success; the intelligent system is unstable in operation due to inaccuracy of online monitoring instruments; and heavy burden of maintenance work in the later stage, enormous gaps in talent and inadequate planning of projects are common problems restricting the development of intelligent plant. The specific work targeting the development of advanced intelligent plant is proposed. Along with the initial success in developing intelligent plant, lots of knotty problems may pop up accordingly. So it is necessitated to conduct study on new programs with unremitting efforts.