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YE Tongzhou, SUN Lin, LI Jingzhao. Research on information and physical active interaction method of mine internet of things based on layered concurrent combination[J]. COAL SCIENCE AND TECHNOLOGY, 2021, 49(10): 145-152.
Citation: YE Tongzhou, SUN Lin, LI Jingzhao. Research on information and physical active interaction method of mine internet of things based on layered concurrent combination[J]. COAL SCIENCE AND TECHNOLOGY, 2021, 49(10): 145-152.

Research on information and physical active interaction method of mine internet of things based on layered concurrent combination

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  • Available Online: April 02, 2023
  • Published Date: October 24, 2021
  • There is a problem of poor interaction between physical entities and information processing in the mine Internet of things. Based on the analysis of the coupling content and coupling strength of different system resources in each layer of the mine Internet of things,combined with the multi-source and multi-modal sensing data characteristics of the mine complex scene,and using the advantages of Petri net in modeling discrete events,the mine Internet of things information flow network model is established from the bottom to the top. The network structure of mine Internet of things is optimized by analyzing the network characteristics of Petri net and the idea of layered and concurrent combination. At the same time,the active interaction mechanism between mine physical entity and data control is studied,and the distributed layered optimization model of mine Internet of things is constructed. The network realizes self-optimization at the level of perception,transmission,cognition and control,and data optimal scheduling across layers and systems. The optimization of the sensing layer of the mine Internet of things system is based on the study of the information and physical interface method of the mine Internet of things with the functions of forward active perception,state mapping and active communication. Finally,the unified interface between virtual information and physical entity is constructed. The distributed hierarchical optimization model and sensor node interface module optimize the transmission structure of information flow and control flow,and establish a reliable interaction channel between physical entities and information processing. The application of the optimization model of the mine Internet of things and the sensor node interface module in the mine transportation system shows that the optimized system significantly improves the distributed collection of data,realizes the concurrent[LM]transmission of mine information and the centralized management of classification,greatly shortens the response time of mine transportation system,and significantly improves the working efficiency of mine transportation system.
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