Method and system for dynamic identification of vehicle axle load based on vertical displacement affecting surface loading

Abstract

A method for dynamically identifying the axle load of a vehicle under vertical displacement-influenced surface loading, comprising: extracting beam type and structural parameter control information; extracting theoretical displacement-influenced surface control information at vertical displacement measurement points; correcting the displacement according to the results of the bridge displacement-influenced surface in the loading test Affected surface; set trigger recognition vehicle axle load identification corresponding vertical displacement threshold; vehicle axle load identification system identifies vehicle axle load passing through the bridge; vertical displacement triggers bridge safety risk early warning system. The present invention integrates comprehensive applications such as big data, machine learning, deep learning, safety monitoring, automatic control, computer technology, precision sensing technology, etc., and realizes based on the extraction of structural characteristic parameters and real-time structural response, based on structural dynamic loads. The vertical displacement is the identification parameter, and the reverse identification of the bridge vehicle load is realized to realize the identification system and method of a new generation of intelligent monitoring products with intelligent computing as the core and self-induction, self-adaptation, self-learning and self-decision as the notable features.

Description

technical field [0001] The invention relates to the technical field of vehicle axle load identification, in particular to a method and system for dynamically identifying vehicle axle loads based on vertical displacement-affected surface loading. Background technique [0002] The identification of vehicle loads on existing bridges is generally divided into dynamic weighing methods and static weighing methods. Among them, static weighing methods are the most widely used, and static weighing methods generally require special scales to detect overweight vehicles, which are costly and require Stopping the vehicle and weighing it will easily cause traffic jams for bridges with large traffic flows. Using this weighing system often becomes a traffic jam point. Moreover, static weighing can only monitor the total weight, but cannot obtain the weight distribution of each axle of the vehicle. [0003] Another dynamic weighing method based on the pavement uses the equipment laid on th...

AI Technical Summary

Problems solved by technology

[0002] The identification of vehicle loads on existing bridges is generally divided into dynamic weighing methods and static weighing methods. Among them, static weighing methods are the most widely used, and static weighing methods generally require special scales to detect overweight vehicles, which are costly and require Stop the vehicle and weigh it, which may easily cause traffic jams for bridges with large traffic flow

Using this weighing system often becomes a traffic jam point

Moreover, static weighing can only monitor the total weight, but cannot obtain the weight distribution of each axle of the vehicle

[0003] Another dynamic weighing method based on the pavement uses the equipment laid on the bridge deck to weigh the vehicles on the bridge deck. This method causes a certain degree of damage to the road surface, and the traffic flow is easy to cause damage to the equipment, which limits the use of the equipment. Useful period

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