有色设备

Addressing the challenge of measuring road conditions in open-pit mines, an online evaluation method for mine road conditions based on driver behavior has been proposed. This method is fundamentally based on the assumption that poorer road conditions lead to more frequent driver operations. It uses input from the accelerator and brake pedals during driving as basic data. Given the characteristics of high amplitude and low frequency in drivers routine operation signals, the Fast Fourier Transform is employed to filter out these routine operations. Based on the filtered results, the drivers control power is used to represent the difficulty of driving on a particular road segment, forming an individual perception of the road by the driver. To reduce the randomness in the evaluation process, the Bayesian scoring method is adopted to obtain a comprehensive score for the road. Field studies have shown that the basic assumption that poorer road conditions result in more frequent driver operations is reasonable, and the online evaluation algorithm for road conditions based on driver behavior is effective.