Coal mine tunnel support parameter processing system and method based on Internet of Things

Through the coal mine tunnel support parameter processing system based on the Internet of Things, environmental information is collected and integrated in real time, and support parameters are optimized, which solves the problems of low efficiency in tunnel support design and construction stages in existing technologies, and realizes the high efficiency, reliability and adaptability of the support system.

CN120633153APending Publication Date: 2025-09-12SHANDONG SANHEKOU MINE CO LTD
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Patent Information

Application Number
CN202510677616.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-05-26
Publication Date
2025-09-12

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Abstract

The invention relates to the technical field of computer aided design, in particular to a coal mine roadway support parameter processing system and method based on the Internet of Things, and the system comprises a data collection and integration module which receives real-time environment information from an Internet of Things terminal, obtains roadway excavation contour data, front geological forecast data and field equipment state information, and sends the data to a data processing module; and generating a roadway model associated with the environment information. According to the method, the real-time monitoring data of the Internet of Things and the roadway support design process are fused, a dynamic closed-loop optimization mechanism is constructed in support parameter processing, and the reliability and adaptability of the support system are improved. Roadway excavation outline, geological forecast and equipment state data are collected in real time and directly embedded into the three-dimensional roadway model, so that support design basic parameters get rid of limitation of traditional static geological hypothesis, and the support strength can be corrected in advance according to the deformation trend of surrounding rock in front.
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