Bridge health monitoring system and method based on big data

Abstract

The invention belongs to the technical field of solid deformation measurement, and discloses a bridge health monitoring system and method based on big data, which gathers research theories, test data and design data analysis of bridge health monitoring at home and abroad, and masters hot spots and leading edges of bridge monitoring at home and abroad. Determining the bridge concrete tensile amp; the compression constitutive relation and strength; a hyperbolic model and a power function model are adopted respectively, and characteristic parameters of the concrete constitutive relation are obtained; bridge monitoring mass data are determined through big data analysis software WEKA. The method is based on the theory and method of bridge structure real-time damage inference and positioning, real-time model correction and safety evaluation based on big data, and the multi-level criterion of structure safety early warning; establishing a standard test model for damage identification and safety evaluation of the typical major engineering structure; and a test platform with unified theory and method is provided for health monitoring and safety early warning of major engineering structures.

Description

technical field [0001] The invention belongs to the technical field of measuring solid deformation, and in particular relates to a bridge health monitoring system and method based on big data. Background technique [0002] At present, the existing technology commonly used in the industry is as follows: so far, more than 140 (including 260 small and medium bridges) in my country have installed bridge health monitoring systems. In the past, due to the limitations of design theory, hidden dangers of construction quality, and the rapid increase in traffic volume brought about by rapid economic development, many bridges in our country have been overwhelmed and are in a "sub-healthy" state. Especially for large bridges, if they are allowed to "sicken from overwork", it will cause huge losses. Bridge structural health monitoring includes daily usability monitoring, such as early warning of bridge closure when wind speed affects the normal traffic of the bridge, and safety monitori...

AI Technical Summary

Problems solved by technology

[0009] 2) Complex system and poor reliability

At the same time, it not only increases the cost of the system, but also seriously reduces the reliability of the system.

[0011] 3) Lack of calibration means and poor durability

[0012] Due to various reasons, the sensor not only has a short service life, but also drifts and other problems during use, which seriously affects the durability of the monitoring system.

In particular, the lack of calibration methods for the monitoring system has prevented this problem from being effectively resolved.

[0022] 2) The base state of the structure when it is completed is unknown;

[0023] 3) Model correction is mostly a mathematical process, and the physical interpretation of the results is not strong;

[0024] 4) Manual intervention and judgment are required, and it is difficult to quantitatively identify the state of the structure

[0027] 1) The cost of the existing technology is high, and it is only suitable for large and super large bridges

[0028] 2) The prior art system is complicated and has poor reliability

[0029] 3) The existing technology lacks calibration means and poor durability

[0031] In traditional bridge maintenance management, structural state assessment based on manual inspection plays an important role. However, manual inspection has a large workload and is highly subjective, making it difficult to achieve long-term quantitative tracking of structural performance.

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