Bridge load monitoring method, device and system

Abstract

The invention discloses a bridge carrying capability monitoring method, device and system and relates to the technical field of bridge monitoring. The method includes a step S1 of obtaining vehicle weight and feature information of vehicles at an upper bridge end of a to-be-tested bridge and feature information of vehicles at a lower bridge end in real time; a step 2 of matching the vehicles at the lower bridge end with the vehicles at the upper bridge end according to the feature information; and a step 3 of obtaining the total vehicle weight of the vehicles, which fail in matching, at the upper bridge end and taking the total vehicle weight as the bridge carrying capability. According to the invention, by obtaining vehicle weight and feature information of vehicles at the upper bridge end and feature information of vehicles at the lower bridge end, matching the vehicles at the lower bridge end with the vehicles at the upper bridge end and taking the total vehicle weight of the vehicles, which fail in matching, at the upper bridge end as the bridge carrying capability of the to-be-tested bridge, monitoring of the bridge carrying capability is realized conveniently. The implementation only requires a plurality of comparatively simple devices and is easy. The cost is low. Besides, by adopting near-range feature collection, matching precision is high, so that bridge carrying capability monitoring precision is guaranteed.

Description

technical field [0001] The invention relates to the technical field of bridge monitoring, in particular to a bridge load monitoring method, device and system. Background technique [0002] With the vigorous development of the transportation industry, the continuous increase of highway traffic flow and the continuous increase of load capacity, the bearing capacity and reliability of the existing bridge structure are facing severe tests. Multiple parameters such as , axle load, wheelbase, and inter-vehicle spacing affect the effects generated in the bridge structure; and for the bridge structure, due to the inherent correlation between load and resistance, its carrying capacity needs to meet the vehicle configuration, load capacity, The distribution of the load on each axle, the position of the vehicle on the bridge, and the requirements of the bridge span. Vehicles are congested and blocked, and the front-to-back distance between vehicles on many bridges is only 3.0-5.0m, re...

AI Technical Summary

Problems solved by technology

However, this detection method only relies on video as the identification factor, and the matching factor is single. It relies too much on the video recognition system, and it is prone to tracking failure at night or when the light environment is poor. At the same time, this detection method needs to install a large number of panoramic cameras on the bridge. Data processing Difficult and expensive

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