Abstract

The mine cage has an important role in the production of coal mines. It has many safety problems in the transportation of people, such as overloading of personnel and illegal outreach of human limbs. However, the harsh mine environment makes it very difficult to monitor personnel overload and limb extension. To solve these two problems, we propose a novel safety monitoring algorithm of the mine cage based on visible light. With visible light technology, our algorithm cleverly utilizes the existing underground lighting equipment (i.e., miner’s headlamp and the miner’s lamp deployed on the mine cage) as the transmitter to broadcast the light beacons representing unique identity information through visible light frequency modulation. Next, cheap photodiodes deployed in the mine cage are used as the receiver to perceive the modulated optical signals. Then we use the frequency matching method for personnel counting and the frequency power comparison method for illegal limb extension monitoring. Moreover, a novel method of monitoring the delineated safe area of the mine cage is also proposed to ensure that all the miners are in the delineated safe area. Finally, we conducted extensive experiments with a simulated mine cage model. Results show that our algorithm has superior performance. With the photodiode SD5421-002, the accuracy of personnel overload judgment and safe area monitoring of our algorithm can reach 99%, and the accuracy of limb extension monitoring is more than 96%.

Highlights

  • The coal mine cage is a key transportation equipment in coal mine production for transporting miners, mineral resources, and mining equipment [1]

  • The experimental results show that the accuracy of personnel overload judgment and safe area monitoring of our algorithm can reach 99%, and the accuracy of limb extension monitoring is more than 96%

  • When two LED lamps with pulse width modulation (PWM) frequencies of 1000 Hz and 5000 Hz exist at the same time, the frequency power corresponding to 5000 Hz in the obtained spectrum is the approximate sum of the frequency power of 5000 Hz corresponding to the two single LED lamps; the visible light frequencies we set cannot be multiple relationships

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Summary

Introduction

The coal mine cage is a key transportation equipment in coal mine production for transporting miners, mineral resources, and mining equipment [1]. Radio waves (i.e., RFID, ZigBee, and WiFi) have serious multi-path effects, and have expensive configuration costs, making its application in the underground personnel positioning more difficult To address this issue, we propose a novel safety monitoring algorithm for the mine cage utilizing visible light. We propose a novel safety monitoring algorithm for the mine cage utilizing visible light This algorithm can effectively monitor the personnel overload of cages and illegal limb extension of miners. To the best of our knowledge, we are the first to propose the use of visible light technology to perceive the range of human activity in underground mines It can effectively reduce the probability of hidden risks only through the modulated LED lamp and a small number of PDs. We implemented our algorithm with a simulated coal mine cage.

Algorithm Overview
Specific Process
Personnel Counting
Frequency Allocation
Frequency Separation and Personnel Counting
Limb Extension Monitoring
Safe Area Delineation
Experimental Equipment and Environment
Safe Area Monitoring
Findings
Conclusions
Full Text
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