We proposed a cloud-based dynamic weighing and monitoring system for trucks to address the issues concerning variability,low resource utilization,and interference in the dynamic weighing data of highway vehicles.This system harnesses the benefits of big data fusion technology and cloud platforms.By sifting through and correlating data gathered from all weighing devices,it identifies the driving trajectories and weight specifics of vehicles on the road.Furthermore,it assesses the accuracy of vehicle weighing data through multiple verifications and comparisons of the vehicle's weight data.The system utilizes a B/S structure for communication,employing cloud storage technology on both the client and service sides.The test results indicate that the system is capable of comprehensive monitoring and management of the behavior of vehicles traveling on the roads,weighing data,and equipment statuses,it optimizes data processing workflows,enhances the accuracy and reliability of the weighing process,and provides essential data support and supervision for the detection of vehicle overloading and exceeding weight limits.
维普
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