| With the rapid development of infrastructure construction and road transportation industry,overloading phenomenon had gradually become a common problem in the transportation industry.The phenomenon of overloading not only brought great damage to vehicles and road infrastructure but also caused major traffic accidents.Vehicles running under overloaded working conditions had posed a serious threat to the safety of citizens’ personal property as well as the country’s financial expenditures.Therefore,studying and solving the overload problem had become an urgent need in the development of the road transportation industry.In recent years,the equipment widely used in domestic overload detection had been the separated dynamic weighing system,only for high-speed intersections and fixed load detection points for overload detection,there were problems such as slow vehicle detection speed,low detection efficiency,and skip pounds.In response to the above problems,we carried out the research of in-vehicle dynamic weighing system and studied the dynamic signal in the weighing process to reduce its dynamic error,aiming to improve the measurement accuracy of in-vehicle dynamic weighing system.This paper discussed and analyzed the requirements of in-vehicle dynamic weighing system and based on the high-precision data acquisition system to collect,process,and analyze the displacement and acceleration data,based on which the multi-sensor data fusion algorithm of in-vehicle dynamic weighing system was studied.Firstly,the general scheme design of invehicle dynamic weighing system was carried out,the basic principle and implementation scheme of the system implementation were explained,and the influencing factors of dynamic errors were analyzed.Secondly,a distributed structure of in-vehicle dynamic weighing system was designed,including two independent modules: axle load data acquisition terminal and invehicle data processing terminal.The axle load data acquisition terminal was responsible for collecting vehicle axle load data and providing it to the in-vehicle data processing terminal for processing;the in-vehicle data processing terminal was responsible for processing and analyzing the axle load data and finally outputting the vehicle weight data.In order to realize the design of this vehicle dynamic weighing system,this paper designed the hardware circuit design part including MC9S12XS128 minimum system circuit,power supply module circuit,external sensor power supply circuit,and power supply monitoring circuit,communication circuit(RS232,CAN),etc.According to the demand analysis,this paper completed the software design of main program module software design,system clock configuration module,displacement signal data acquisition module,communication module,and upper computer debugging system software.In order to solve the dynamic errors generated during the normal driving process of the vehicle and the biased load errors occurred in the biased load condition,the dynamic compensation weighing algorithm based on the optimization of the inter-correlation method and the multi-sensor Kalman data fusion algorithm in the biased load condition are designed in this paper.In order to verify the effectiveness of the algorithms,real-vehicle weighing data acquisition and real-time processing are used,and the dynamic compensated weighing algorithm based on the inter-correlation method optimization and the multi-cell Kalman data fusion algorithm under biased load conditions are verified by blind testing.The experimental results show that the proposed algorithm can effectively improve the measurement accuracy of the on-board dynamic weighing system and achieve accurate detection of vehicle overload and off-load conditions.This paper proposes a dynamic compensated weighing algorithm based on intercorrelation method optimization and a multi-sensor Kalman data fusion algorithm,as well as a distributed structure design scheme for in-vehicle dynamic weighing system,which can provide useful reference for the research and development of in-vehicle weighing system. |
