Design And Research On Real-time Monitoring System Of Truck Load Based On Internet Of Things

With the rapid speed in the number and tonnage of trucks,it puts tremendous pressure on the existing roads,bridges and other infrastructures.Pavement repair and construction have directly caused huge economic losses to government departments.On the other hand,the phenomenon of overloading is also a great threat for individuals.Therefore,in order to strengthen the significant management such as transportation,emergency safety,information transportation,etc.,in-depth research on dynamic weighting system has been carried out.This paper conducts a theoretical analysis on the characteristics of the vehicle load,and designs a real-time load monitoring system firstly.The basic functions are as follows: monitoring function,using various sensors to collect vehicle data,and the One NET can also view vehicle-related positioning and historical data,with an accuracy of less than 6%;The communication function realizes the real-time transmission of data between the sensor and the vehicle system,and between the vehicle system and the One NET;the alarm function,the vehicle is overloaded or severely overloaded,the local terminal system alarms to remind the driver,and the One NET alarm to remind the traffic management personnel;positioning function,the system alarm will also start real-time vehicle positioning and trajectory tracking,and the information can be viewed on the page of the regulatory authority.The improved Sage-Husa adaptive filter is applied to the signal preprocessing,and a better filtering effect is achieved.The BP neural network is used for data training and modeling,and the predicted value is fitted with the Polyfit function to obtain the static and dynamic load functions of the vehicle.Finally,the actual vehicle test verified the feasibility of the BP neural networkbased load algorithm,which can monitor the load value of dynamic vehicles within the specified error range,help build a national comprehensive three-dimensional transportation network,and accelerate the construction of a powerful transportation country.