Research On Vehicle Dynamic Weighing Monitoring Model

The conventional model of human management is insufficient to keep up with the rising traffic volume and the continual advancement of transportation infrastructure in my country,making intelligent traffic management an inevitable trend.In this paper,aiming at the problems of high delay,low precision and difficult intelligent control of equipment for massive data analysis,a vehicle dynamic weighing monitoring model is established based on inertial sensors,and the Internet of Things technology is used to solve key requirements such as dynamic weighing data visualization and real-time monitoring.The laboratory model testing and verification of the designed prototype system has demonstrated the feasibility of the proposed model and scheme,and provides a useful reference for the future application of vehicle dynamic weighing in the field of traffic informationization.The main work of this paper includes:1)Initially,the overall structure design of the vehicle dynamic weighing system is compared with existing dynamic weighing equipment,taking into account the functional requirements and design principles.Then,aiming at the problem of real-time interaction and fusion between information space and physical space in vehicle dynamic weighing,the digital twin fivedimensional model is applied to vehicle dynamic weighing.Through the analysis and research of the monitoring system,a vehicle dynamic weighing monitoring model is established to realize vehicle dynamic weighing.Digitalization of dynamic weighing.2)Secondly,the existing vehicle dynamic weighing monitoring system schemes are complex and diverse,and the accuracy of measurement results varies.To enhance the precision of vehicle dynamic weighing,this paper adopts several steps.Firstly,the SOLIDWORKS software is used to establish a physical model of the vehicle dynamic weighing monitoring platform,and finite element analysis is conducted to guarantee the stability of the weighing platform structure.Secondly,effective independent development is employed to determine the sensor type and optimal arrangement based on the finite element analysis results.Finally,the method of vehicle weight identification through stress analysis is employed to investigate the vehicle-scale coupling model in vehicle dynamic weighing and to obtain the vehicle weight.The feasibility of this approach is validated through simulation on the MATLAB platform.3)Thirdly,the optimization of the monitoring model is realized through the research of the vehicle dynamic weighing monitoring model based on the inertial sensor.Firstly,the prototype system is designed and the software is improved through object-oriented and finite state machine theory to improve the data collection ability of the monitoring model.Secondly,empirical mode decomposition(EMD)is used to process the weighing data collected by inertial sensors to extract useful feature information and filter out noise,so as to improve the data calculation ability of the model.4)Finally,after testing the system function,a laboratory model is established to confirm the accuracy and practicality of the vehicle dynamic monitoring model that relies on inertial sensors.The stability of the weighing platform was verified by weights of different weights at the same height.Then the cars under different speeds and different weights were tested separately.The final results showed that the vehicle dynamic weighing monitoring model based on inertial sensors was feasible and practical,and provided a new model for vehicle dynamic weighing in the field of traffic informationization in the future.The solution brings certain reference significance.