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%.

中文翻译：

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一种利用可见光的新型矿井笼安全监测算法。

防雷笼在煤矿生产中具有重要作用。它在人员运输中存在许多安全问题，例如人员超载和非法伸出人手。但是，恶劣的矿山环境使得监控人员超负荷和肢体伸展非常困难。为了解决这两个问题，我们提出了一种基于可见光的矿井巷道安全监测新算法。通过可见光技术，我们的算法巧妙地利用了现有的地下照明设备（即，矿工的头灯和部署在防雷笼中的矿工的灯）作为发送器，通过可见光频率调制来广播代表唯一身份信息的信标。接下来，部署在防雷笼中的廉价光电二极管用作接收器，以感知调制后的光信号。然后，我们使用频率匹配法进行人员计数，并使用频率功率比较法进行非法肢体伸展监测。此外，还提出了一种监视矿井笼划定的安全区域的新方法，以确保所有矿工都在划定的安全区域内。最后，我们使用模拟的矿笼模型进行了广泛的实验。结果表明，该算法具有优越的性能。使用光电二极管SD5421-002，我们算法的人员超载判断和安全区域监控的准确度可以达到99％，肢体伸展监测的准确度可以达到96％以上。为了确保所有矿工都在划定的安全区域内，还提出了一种监视矿井划定的安全区域的新方法。最后，我们使用模拟的防雷笼模型进行了广泛的实验。结果表明，该算法具有优越的性能。有了光电二极管SD5421-002，我们算法的人员超载判断和安全区域监控的准确率可以达到99％，肢体伸展监测的准确率可以达到96％以上。为了确保所有矿工都在划定的安全区域内，还提出了一种监视矿井划定的安全区域的新方法。最后，我们使用模拟的防雷笼模型进行了广泛的实验。结果表明，该算法具有优越的性能。有了光电二极管SD5421-002，我们算法的人员超载判断和安全区域监控的准确率可以达到99％，肢体伸展监测的准确率可以达到96％以上。