School of Information Science and Technology, Tsinghua University
Huayang New Material Technology Group Co., Ltd.
Holli Cube Technology Co., Ltd.

煤矿综采工作面设备来自不同厂商，接口不统一、数据系统和业务逻辑不同，造成数据壁垒，系统间数据交互慢。基于工业互联网架构，提出了包括设备层、接入层、边缘层、PaaS层、应用层的智能化综采技术架构；基于该架构，将煤矿综采设备作为整体数据对象，设计了一种煤矿综采设备信息模型构建方法，定义了属性、方法、事件、报警4个关键要素和建模规则，从而实现各物理实体与异构系统之间的无缝通信，即对综采设备信息资源进行定义、描述和关联，提供完备、统一的数据对象表达、描述和操作模型；针对综采设备信息模型属性元素过多的问题，提出了一种基于重要度和语义相似度的属性元素优化机制。采用上述方法建立了华阳新材料科技集团有限公司一矿81004工作面综采设备信息模型，对综采设备电动机运行情况进行评价，结果表明基于该模型可监测工作面所有电动机短时间内启动次数、多电动机设备启动功率平衡和运行效率，并形成分析结果，为决策工作提供数据支持。

The equipment for coal mine fully mechanized working faces comes from different manufacturers, with inconsistent interfaces, different data systems and business logic, resulting in data barriers and slow data exchange between systems. Based on the industrial Internet architecture, an intelligent fully mechanized mining technology architecture including equipment layer, access layer, edge layer, PaaS layer and application layer is proposed. Based on this architecture, coal mine fully mechanized mining equipment is treated as the overall data object, and a method for constructing an information model of coal mine fully mechanized mining equipment is designed. Four key elements and modeling rules, including attributes, methods, events, and alarms are defined to achieve seamless communication between various physical entities and heterogeneous systems. This means defining, describing, and associating information resources of fully mechanized mining equipment, providing a complete and unified data object expression, description, and operation model. A modeling element optimization mechanism based on importance and semantic similarity is proposed to address the problem of excessive attribute elements in the information model of fully mechanized mining equipment. A fully mechanized mining equipment information model for the 81004 working face of No.1 Mine of Huayang New Materials Technology Group Co., Ltd. is established using the above method. The operation status of the electric motors of the fully mechanized mining equipment is evaluated. The results show that based on this model, all electric motors in the working face could be monitored for starting times in a short period of time, multiple motor equipment starting power balance, and the operating efficiency. Analysis results are generated to provide data support for decision-making work.

国家重点研发计划资助项目（2022YFB3402002）；国家自然科学基金重点支持项目（U22A2047）。

潘文龙，李胜军，高全军，等. 基于工业互联网的煤矿综采设备信息模型研究[J]. 工矿自动化，2024，50（5）：84-92.

PAN Wenlong, LI Shengjun, GAO Quanjun, et al. Research on information model of coal mine fully mechanized mining equipment based on industrial Internet[J]. Journal of Mine Automation，2024，50（5）：84-92.