Design of New Type of Auxiliary Transportation System for Underground Coal Mines Based on AI Vision
In order to improve the efficiency of coal mine underground auxiliary transportation,a new auxiliary transportation system design based on AI vision is proposed to enhance the effect of obstacle avoidance and achieve higher transportation efficiency.In the hardware part,the transportation mode of endless rope winch traction+rail car is selected,and the sensor,control module,communication and cooperation module and other modules are configured for data acquisition,transmission and control.In the software part,the collected and transmitted image data are preprocessed,and then the convolutional neural network is used to extract the image features,and the image data are classified through the full connection layer to realize the detection of obstacles.Finally,the detection results will be output to the monitoring center,and the PLC controller will control the electric winch to avoid obstacles.So far,the design of a new auxiliary transportation system for underground mine is completed.The results show that the designed system has high transportation efficiency and reliable applicability.
AI visionunderground coal minesauxiliary transportationCNN
NETL
NSTL
万方数据
