Research on Vehicle Overload and Bias Detection Based on Improved TPDS Long Array
Due to the influence of factors such as weather,road conditions,and vehicle driving statuses,it results in the signal ar-ray too short during the process of vehicle overloading detection.Traditional truck performance detection systems(TPDS)have the characteristics of low accuracy and long processing time in vehicle overloading detection.On this basis,a vehicle overloading detection system based on an improved TPDS with a long array is proposed.Through the vehicle running quality trackside dynamic monitoring system,the distance measuring sensors and data acquisition devices are used to convert mechanical signals into voltage signals.The output signals are combined to form a long array,which is inputted into the distance measuring sensors of the system.The empirical mode decomposition(EDM)algorithm is applied to eliminate noise points in the long array.Four distance measuring sensors are in-stalled at the bottom of freight vehicle.The dynamic weighing method for freight vehicle is adopted to calculate the total load-bearing capacity of each spring group on the vehicle.By combined with the useful signals of vehicle,the vehicle overloading is measured,a-chieving the vehicle overloading detection.Experimental results demonstrate that the improved TPDS system with a long array has a good denoising performance,the measurement error is within 5％,with the low average processing time and high probability of weight qualification,the proposed method has a high measurement accuracy,detection efficiency,and detection stability.
TPDSlong arrayEDMdistance measurement sensorvehicle overload and unbalanced load detection system
万方数据
维普
