Masonry arch bridge technical condition parametric structure modeling and intelligent evaluation system

Abstract

The invention discloses a masonry arch bridge technical condition parametric structure modeling and intelligent evaluation system, which comprises a masonry arch bridge evaluation model unit, a structure model unit, a disease input unit, a Web client, a field acquisition unit, a MongoDB database and an object storage unit, and is characterized in that the evaluation model unit sets composition ofa structure model and an intelligent evaluation algorithm; the structural model unit determines modeling parameters and component number rules of a masonry arch bridge, and the Web client accesses andedits a MongoDB database and an object storage unit, automatically and manually associates diseases, checks scores and generates a report. On the basis of the evaluation model unit, the structure model unit and the disease input unit, parameterized structure modeling and intelligent evaluation are achieved, and the problems that the masonry arch bridge technical condition evaluation recording process is tedious, not visual, low in efficiency, not standard, prone to making mistakes in the evaluation process and the like are solved.

Description

technical field [0001] The invention relates to the technical field of civil engineering, in particular to a parametric structural modeling and intelligent evaluation system for the technical status of masonry arch bridges. Background technique [0002] The parametric structural modeling and intelligent evaluation of masonry arch bridges are used to evaluate the service status of masonry arch bridges by investigating the disease conditions of operating highways, so as to determine whether maintenance and treatment are required. Conventional methods use pen and paper records for field work, and manual work for in-house work. Calculation, there are common problems such as cumbersome, inefficient, non-standard recording process, and error-prone evaluation process, which requires high manual inspection and does not consider the impact of disease development on the evaluation results. [0003] The parametric structural modeling and intelligent evaluation method of the technical s...

AI Technical Summary

Problems solved by technology

Conventional intelligent assessment of technical status uses numbers to represent the components of the disease when the disease is entered, which is not intuitive and error-prone. It is necessary to calculate the sequence numbers of the components of different spans and different positions on site, and it is inconvenient to operate when the number of components is large. Generation of disease information component numbers in inspection reports causing trouble

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