A Novel Mine Cage Safety Monitoring Algorithm Utilizing Visible Light

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%.

A Top-Down Survey on Optical Wireless Communications for the Internet of Things

“…14] has safety several safety problems such as overloading with people/trolleys or accidents caused by the outreach of human limbs. In [408], Yang et al proposed a solution using existing lighting equipment and equipping the mine cage and miners' helmets with cheap LEDs/PDs. Each transceiver broadcasts its PWM modulated information over a dedicated frequency that also represents the transceiver's identity.…”

A Top-Down Survey on Optical Wireless Communications for the Internet of Things

“…13] has safety several safety problems such as overloading with people/trolleys or accidents caused by the outreach of human limbs. In [377], Yang et al proposed a solution using existing lighting equipment and equipping the mine cage and miners' helmets with cheap LEDs/PDs. Each transceiver broadcasts its PWM modulated information over a dedicated frequency that also represents the transceiver's identity.…”

Research on the whole process monitoring and management of coal digital production based on IOT technology

“…Xiao et al studied the current status of underground coal gasification monitoring and control and investigated some problems that still exist, as well as proposed an IoT-based monitoring system sensing platform and an optimal control model based on deep learning [16]. Pang et al proposed a new mining cage safety monitoring algorithm that uses visible light technology to monitor the human body to ensure the safety of all miner's situations [17]. Zhao et al used the Suiqi coalfield in North China to evaluate the threat level of coal seam water content to coal mine driving using hierarchical analysis and fuzzy variable set theory, and the results showed that there are geographical differences in coal seam water content and the coal mining hazard factor in the eastern region is greater than that in the western region [18].…”