Steel bridge structure health state evaluation method and device, equipment and storage medium

Abstract

The invention discloses a steel bridge structure health state evaluation method and device, equipment and a storage medium. The method comprises the steps of collecting various disease images of the surface of a steel bridge and microscopic images of the surfaces of all components under different stress and fatigue states; constructing and training a structural disease classification and damage evaluation model by taking the various disease images as input and taking disease types and damage degrees as output; constructing and training a steel classification and stress evaluation model and a steel classification and fatigue state evaluation model by taking the microscopic images as input and taking steel type, fatigue life and stress identification as output; using a multi-lens steel bridge wall-climbing robot to collect fixed-time and fixed-point detection images; and respectively inputting the detection images into the corresponding evaluation models to respectively obtain predictedscoring results of the disease damage degree, the stress state and the fatigue state, and performing weighted summation according to the three evaluation scores of each component to obtain an overallhealth state score of the steel bridge structure. The method is safe, effective, easy and convenient to operate, higher in precision and high in intelligent degree.

Description

technical field [0001] The invention relates to the technical field of construction engineering, in particular to a method, device, equipment and storage medium for evaluating the health state of a steel bridge structure. Background technique [0002] In the long-term use of bridge engineering structures, under the joint action of various unfavorable factors such as environmental erosion, material aging, load fatigue effects, various vibration effects and natural disasters, it will lead to the accumulation of damage to the structure, making it bear normal loads, The ability to resist the action of the external environment decreases, thereby reducing the service life of the structure, and even catastrophic accidents occur in some extreme cases. A series of problems caused by this need to spend a lot of manpower and material resources for inspection, maintenance and reinforcement to solve. Therefore, it is necessary to quickly and accurately evaluate the overall health status ...

AI Technical Summary

Problems solved by technology

[0003] Due to the fact that the current bridge structural health assessment methods (including load test method, appearance observation method, analytic hierarchy process, bridge monitoring system detection method, scoring and sorting method, etc.) are affected by many factors, they need to consume a lot of manpower and material resources , the detection accuracy is low

For example, the detection of bridge diseases still largely relies on manual detection, manual identification of diseases and traditional detection instruments, and is easily affected by subjective factors, and the detection efficiency is low; the detection of work stress also largely relies on research Due to the operation and experience of personnel, there are still certain difficulties in the quantitative detection of absolute stress, and it is impossible to effectively evaluate the stress state of the existing bridge structure; Accurately consider the surrounding environment, etc.

Images