Design and Research of Self-Protection System for Underground Overhead Occupant Devices
The temperature prediction of mine overhead passenger devices is an effective way to ensure the safe production of mine overhead passenger devices.Digital twin technology is a technology that combines physical systems in the real world with digital models in the virtual world.A temperature prediction and advanced sensing method based on digital twin and recurrent neural network is proposed to achieve online monitoring and advanced sensing of the motor temperature of overhead passenger devices in mines.The results show that the digital twin system can effectively monitor the real-time temperature status of the motor during the operation of the mine overhead passenger device.The integration of digital twin and recurrent neural network can accurately predict and actively detect the temperature changes of the motor in the mine overhead passenger device.
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