With the continuous development of the logistics industry in the overload has become the adverse outcome of the transport industry, overloaded transport is not only serious damage to the highway, but also brought a very high traffic accident risk in recent years due to overload caused byof a car crash and the frequent occurrence of the accident and death of people. Human inspection alone can not fully change this situation, one of the best approach is to use economic levers to regulate the implementation of the weight fees in the highway transportation of goods, which need to quickly and accurately measure the truck vehicle weight of the equipment in order to achieve the dynamic weighing and reasonable fees.From the analysis of the current highway weighing the needs of and improve the design a car weighing sensors and vehicle separator structure, the layout design of the sensor, the use of resistance strain sensors and capacitive displacement sensors match the design of twosensor signal conditioning circuits. Central processing system MSC1210to use its own internal AD converter, data acquisition, data processing, data with the232model spread to the host computer to complete the system.System software part of the C language programming, to complete the overall control of data acquisition and algorithm analysis. Measurement data, combined with vehicle speed, the BP neural network model, using the model to calculate the static weight of the truck vehicle. After repeated measurement experiments and integrated debugging, the measurement accuracy to achieve the desired requirements. |