Bridge dynamic weighing method and system based on video measurement dynamic deflection

Abstract

The invention discloses a bridge dynamic weighing method based on video measurement dynamic deflection, and the method comprises the steps: employing a first image recognition part which is disposed at the upper part of a bridge and covers a bridge surface region, and a second image recognition part which is disposed at the lower part of the bridge and at least covers the midspan part of a main beam below each lane; the method comprises the following steps: controlling the first image recognition part to obtain axle distance, vehicle running speed and vehicle running lane information of each axle; controlling the second image recognition part to acquire real-time dynamic deflection response of the midspan part of the main beam below each lane when the vehicle runs; according to the vehicledriving lane information, transmitting the axle distance of each axle, the vehicle driving speed and the real-time dynamic deflection response to a network cloud platform to realize one-to-one correspondence; by utilizing a Moses algorithm, the weight of the vehicle is calculated based on the wheel base, the vehicle running speed and the real-time dynamic deflection response, the method can solvethe problem of multi-lane and wide-bridge vehicle dynamic weighing, the measurement range is wide, the operation is simple, and the cost is low. The invention further discloses a bridge dynamic weighing system.

Description

technical field [0001] The invention belongs to the technical field of vehicle weighing, in particular to a bridge dynamic weighing method and system based on video measurement of dynamic deflection. Background technique [0002] With the rapid development of my country's economy and transportation industry, the number and weight of vehicles continue to increase. At the same time, the phenomenon of overloading road vehicles is also common. In areas with serious overloading, many freight vehicles have different degrees of overloading behavior. Vehicle load is one of the most important loads on highways and bridges. Overloaded vehicles will cause serious damage to infrastructure such as roads and bridges, cause bridge component fatigue problems, and shorten the service life of bridges. Under extreme conditions, overloaded trucks will Exceeding the bearing capacity of the bridge will directly lead to the damage of the bridge. At the same time, the probability of traffic acciden...

AI Technical Summary

Problems solved by technology

Installing various devices on the bridge or at the bottom of the bridge will cause high loss to the device, inconvenient installation and maintenance, need to interrupt traffic, and low service life; at the same time, the lateral position of the vehicle passing through the key section of the bridge is a very important parameter. However, the FAD sensor has low recognition accuracy or even no recognition of this parameter, while the induction coil or traffic radar detection device used to obtain vehicle information and lateral position in the traditional dynamic weighing system is expensive, and the traffic needs to be interrupted during installation and maintenance.

For the strain sensor, the axle load identification based on bridge bending strain is easily affected by factors such as the randomness of structural material properties and section properties, and the identification accuracy is limited and prone to errors

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