Vehicle axle load dynamic identification method and system based on vertical displacement influence surface loading

Abstract

The invention discloses a method for dynamically identifying a vehicle axle load by loading a vertical displacement influence surface. The method comprises the following steps: extracting beam type and structural parameter control information; extracting theoretical displacement influence surface control information of the vertical displacement measurement points; correcting the displacement influence surface according to the loading test bridge displacement influence surface result; setting a vertical displacement threshold value corresponding to triggering identification of vehicle axle weight identification; enabling the vehicle axle load recognition system to recognize the axle load of the vehicle passing through the bridge; and triggering a bridge safety risk early warning system through vertical displacement. The method integrates big data, machine learning, deep learning, safety monitoring, automatic control, computer technology, precision sensing technology and other comprehensive applications, realizes reverse identification of bridge vehicle load based on vertical displacement caused by structural dynamic load as identification parameter on the basis of extraction of structural characteristic parameters and real-time structural response, and improves the accuracy of bridge vehicle load identification. The recognition system and method for a new generation of intelligent monitoring products with intelligent calculation as the core and self-induction, self-adaptation, self-learning and self-decision as the significant characteristics are achieved.

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...

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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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