Regional bridge risk prediction method and system

Abstract

The invention discloses a regional bridge risk prediction method and system. The method comprises. The method comprises the following steps: S1, collecting the basic information of all bridges in a region; S2, screening out a bridge needing risk prediction based on the basic information; S3, dividing the bridges needing risk prediction into different risk prediction levels according to the basic information of the bridges; wherein different risk prediction levels correspond to different risk prediction periods; S4, preliminarily determining disaster-causing factors for bridge collapse evaluation; S5, screening the preliminarily determined disaster-causing factors to obtain main disaster-causing factors influencing bridge collapse; S6, training and generating a plurality of bridge collapserisk prediction models based on the main disaster-causing factors; S7, selecting the risk prediction model with the best performance as a final risk prediction model; and S8, performing bridge collapse risk prediction on the to-be-predicted bridge. According to the invention, the risk prediction of the regional bridge is realized, the realization cost is low, the coverage is wide, the processing efficiency is high, and the safety of the bridge is improved.

Description

technical field [0001] The invention relates to the technical field of bridge safety, in particular to a regional bridge risk prediction method and system. Background technique [0002] With the rapid development of today's transportation industry, highway bridges are prone to spalling, corrosion, cracks and cable deformation after long-term exposure to the sun and rain, material aging, structural damage, overloading, and other unreasonable use. disease. From 1999 to 2009, more than 30 bridges collapsed in my country, all of which were built within the past 30 years. Many bridge collapses will cause casualties and pose a great threat to public safety. Therefore, it is particularly important to continuously update bridge detection technology and methods, improve the cognition and effective use of bridge data, reduce the frequency and cost of bridge maintenance, and increase the service life of bridges to ensure public safety. [0003] Usually, monitoring the stress and stra...

AI Technical Summary

Problems solved by technology

The individual differences of bridges are large, and the regional risk prediction of bridge health has problems such as large amount of data, fast accumulation speed, low signal-to-noise ratio, low degree of data mining, and lack of bridge structural support. There are relatively weak control and subjectivity. Strong, large hysteresis and low precision characteristics

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