刮板输送机是煤矿井工开采煤炭运输的核心设备，其智能化水平直接影响工作面智能化程度。分析指出目前刮板输送机智能化技术仍存在工况感知数据治理不到位、数据交互及多机协同控制缺乏顶层管控、设备维护与保养不到位、智能化技术应用不足等问题。基于矿鸿操作系统统一系统架构、统一标准与协议等优势，开发了采煤工作面刮板输送机智能控制系统，介绍了系统架构，重点阐述了该系统中刮板输送机工况感知和自适应控制这2项关键技术：以哑铃状态监测和断链故障监测为例，介绍了刮板输送机工况感知技术的实现方法；通过分析刮板输送机驱动电动机电流数据，结合采煤机采高、截深、行走速度、位置等采集数据，得出刮板输送机运煤量计算公式，由此设计了基于负载状态的刮板输送机智能调速控制策略；分析了刮板输送机链条与张力的关系，通过计算链条伸长量并与设定值作比较，控制油缸伸出（缩回）动作，实现链条张紧自动控制。在煤矿现场对基于矿鸿操作系统的刮板输送机智能控制系统进行了工业性试验，结果表明该系统能实时采集刮板输送机运行状态、故障信息、负载等关键参数并进行分析处理，数据精度高，稳定性好，故障诊断准确性高，且实现了刮板输送机与采煤机、液压支架等设备的互联互通、相互协作，数据传输延时仅为5～10 ms。

Scraper conveyor is the core equipment for coal transportation in underground mining, and its level of intelligence directly impacts the overall automation in the working face. Analysis indicates that current intelligent technology of scraper conveyor still faces several issues: inadequate management of operating condition sensing data, lack of top-level control in data interaction and multi-machine collaborative control, insufficient equipment maintenance and care, and insufficient application of intelligent technologies. Based on the advantages of the Kuanghong operating system, such as unified system architecture, standards, and protocols, an intelligent control system for scraper conveyor in coal mining working faces was developed. The system architecture was introduced, focusing on two key technologies: operating condition sensing and adaptive control for scraper conveyor. Taking dumbbell state monitoring and chain break fault monitoring as examples, the implementation methods of operating condition sensing technology for scraper conveyor were detailed. By analyzing the current data of the scraper conveyor’s driving motor and integrating collected data such as cutting height, cutting depth, travel speed, and position of the coal shearer, a formula for calculating the coal transportation volume of the scraper conveyor was derived. This led to the design of an intelligent speed control strategy for the scraper conveyor based on load conditions. Additionally, the relationship between the scraper conveyor's chain and tension was analyzed. By calculating the chain elongation and comparing it to a set value, the extension (or retraction) of hydraulic cylinders was controlled to achieve automatic chain tension control. Industrial tests of the intelligent control system for scraper conveyor based on the Kuanghong operating system were conducted at coal mine sites. The results showed that the system could collect and analyze key parameters such as the operating status, fault information, and load of the scraper conveyor in real time. It demonstrated high data accuracy, strong stability, and high precision in fault diagnosis. Furthermore, the system achieved interconnection and collaboration between the scraper conveyor and other equipment such as coal shearer and hydraulic supports, with a data transmission delay of only 5 to 10 ms.