煤矿机电硐室温度监测与预警功能实现

The realization and effect evaluation of temperature monitoring and early warning function of coal mine electromechanical chamber

为解决开元煤矿机电硐室温度监测的盲点,杜绝安全生产隐患,结合该矿机电硐室的温度监测和预警需求,进行了温度监测预警装置微处理器、温度传感器等关键硬件模块和温度传感器的多点测温连接方式的选择,基于BP神经网络完成了温度测量和预测算法的设计,并通过测试验证了温度监测预警装置的性能。

In order to solve the blind spot of temperature monitoring in the electromechanical chamber of Kaiyuan Coal Mine and eliminate the hidden danger of safe production, combined with the temperature monitoring and early warning requirements of the electromechanical chamber of the mine, the selection of the multi-point temperature measurement connection mode of the microprocessor, temperature sensor and other key hardware modules of the temperature monitoring and early warning device and the temperature sensor is carried out. The temperature measurement and prediction algorithm is designed based on BP neural network, and the performance of the temperature monitoring and early warning device is verified by testing.