Large-span bridge safety performance real-time monitoring system based on big data

Abstract

The invention discloses a large-span bridge safety performance real-time monitoring system based on big data. The large-span bridge safety performance real-time monitoring system comprises a detectionarea division module, a bearing pressure detection module, a wind power parameter acquisition module, a deformation displacement monitoring module, a water flow impact parameter detection module, a modeling analysis module, a parameter database, a central server, an early warning module and a display terminal. According to the large-span bridge safety performance real-time monitoring system basedon big data, by integrating the influence factors of bearing pressure, longitudinal wind power, deformation displacement and water flow impact force borne by the bridge, and combining a modeling analysis module to quantify the influence result of the influence factors on the bridge safety performance, the comprehensive safety factor of the bridge is counted, and the health condition of the bridgecan be comprehensively reflected; and by counting and evaluating the comprehensive safety coefficient of the bridge regularly, the related workers can master the safety dynamic development trend of the bridge, the reliable reference bases are provided for the maintenance of the bridge, and the service life of the bridge is prolonged.

Description

technical field [0001] The invention relates to the technical field of bridge safety monitoring, and relates to a real-time monitoring system for the safety performance of long-span bridges based on big data. Background technique [0002] With the reform and opening up, China's urban bridge construction has gradually entered a stage of rapid development. In the past ten years, my country has built a number of long-span bridges. In Shanghai alone, there are many world-leading bridges such as Nanpu Bridge, Yangpu Bridge, and Xupu Bridge. Horizontal long-span bridges, according to statistics, there are about 500,000 bridges of various types in China, and more than 10,000 bridges are built every year. China is moving from a "bridge country" to a "bridge power"; however, as As an important part of road traffic construction, the safety of bridges has attracted people's attention day by day. Due to the problems of difficult construction, poor environment and some human factors in th...

AI Technical Summary

Problems solved by technology

Due to the problems of difficult construction, poor environment and some human factors in the construction process of the bridge, and in the service process, it is repeatedly subjected to various loads, fatigue and corrosion of materials, and damage from natural factors. The safety of the bridge exists Certain hidden dangers; and the loss caused by bridge damage is immeasurable, so it is extremely important to monitor the health of the bridge in time

[0003] The traditional bridge inspection method is to observe whether the appearance of the bridge is deformed or damaged or to use inspection equipment to monitor certain structural characteristics of the bridge. The inspection results can only partially reflect the current safety status of the bridge, and it is difficult to fully reflect the bridge In view of this, the present invention proposes a real-time monitoring system for the safety performance of long-span bridges based on big data

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