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. DOI: 10.13272/j.issn.1671-251x.2024010022
Citation: 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. DOI: 10.13272/j.issn.1671-251x.2024010022

Research on information model of coal mine fully mechanized mining equipment based on industrial Internet

  • 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.
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