Abstract： 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.
赵双斌. 煤矿机电硐室温度监测与预警功能实现[J]. 煤炭与化工, 2022, 45(7): 86-88.
Zhao Shuangbin. The realization and effect evaluation of temperature monitoring and early warning function of coal mine electromechanical chamber. CCI, 2022, 45(7): 86-88.
