A bridge safety detection system based on cloud platform

Abstract

The invention discloses a bridge safety detection system based on a cloud platform, which includes a bearing acquisition module, a traffic volume detection module, an ambient temperature acquisition module, a river parameter acquisition module, a parameter influence scheduling processing module, an additional load analysis module, and a crack image acquisition module. module, crack processing module, crack evolution building block, management server, early warning deduction module and bridge safety supervision terminal. According to the vehicle traffic volume on the bridge surface, environmental parameters and river parameters, the invention obtains the additional traffic risk influence coefficient, temperature change rate and river environment destruction influence coefficient, and comprehensively analyzes the crack change influence coefficient of cracks on the bridge by comprehensively analyzing the various influence factors where the bridge is located , and calculate the expected traffic warning time through the crack threshold, which improves the accuracy of crack evolution statistics, saves the time and energy required for manual inspection of cracks, improves the statistical accuracy of estimated traffic warning time, and can improve the time for vehicles or people to pass the bridge. security.

Description

technical field [0001] The invention belongs to the technical field of bridge detection and relates to a bridge safety detection system based on a cloud platform. Background technique [0002] Farm bridges refer to bridges that cross channels, rivers, valleys, etc. on township roads. According to the materials used in the main load-bearing structure, agricultural bridges can be divided into wooden bridges, stone bridges, brick bridges, concrete bridges, reinforced concrete bridges and prestressed concrete bridges, etc. Bridges generally consist of superstructure, substructure, supports and auxiliary structures Composition, the upper structure, also known as the bridge span structure, is the main structure for crossing obstacles; the lower structure includes abutments, piers and foundations. [0003] The quality of the bridge is affected by the materials required for bridge construction and the bridge structure itself, as well as external influences such as the temperature i...

AI Technical Summary

Problems solved by technology

[0003] The quality of the bridge is affected by the materials required for bridge construction and the bridge structure itself, as well as external influences such as the temperature in the environment, the vehicles passing on the bridge surface, and the water flow speed in the river. The cracks are affected by the temperature changes of the environment, the load vehicles passing on the bridge surface and the river, etc., causing the cracks on the bridge to gradually expand, and the bearing capacity of the bridge is gradually reduced. At present, it is impossible to analyze the crack change and The relationship between external interference factors, and it is impossible to predict the estimated time for the bridge to pass normally under the interference of the current interference factors. There are problems such as poor detection accuracy and inability to provide early warning reminders, which increases the danger of people or vehicles passing the bridge. At the same time, the safety of existing bridges is often detected manually, which increases the time and effort of manual detection, and the detection efficiency is low and accurate. In order to solve the above problems, a bridge safety detection system based on cloud platform is now designed

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