Study on the Detecting Technology of Mine Internet of Things Based on RSSI Technology

Jian Ming, Aibing Jin, Jinhai Sun, D. Hu, Yan Xia
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Abstract

Based on the theory and technology of Internet of Things(IOT) and digital mine, the Mine Internet of Things (perception Mine) is used to detect and control of the personnel, equipment and mine environment, which can improve the ability of perceiving the operation status of the personnel and the equipment and controlling risks in mining production. Field experiments of RSSI distance measurement were conducted on account of characteristics of the operational environment and engineering arrangements of the underground mine. In view of field experiments results, the RSSI-distance relation model was established. The trilateration positioning model and BP neural network positioning model were used to process and analyze the node positioning data. The mine cave-back monitoring method based on RSSI distance measurement is introduced.
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基于RSSI技术的矿山物联网检测技术研究
矿山物联网(感知矿山)是基于物联网(IOT)和数字矿山的理论和技术,对人员、设备和矿山环境进行检测和控制,提高对矿山生产中人员和设备运行状态的感知能力和风险控制能力。结合井下作业环境特点和工程布置,进行了RSSI测距的现场试验。根据现场试验结果,建立了rssi -距离关系模型。采用三边定位模型和BP神经网络定位模型对节点定位数据进行处理和分析。介绍了一种基于RSSI距离测量的矿山塌方监测方法。
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