Bridge health monitoring method and system

Abstract

The invention discloses a bridge health monitoring method and system. The method comprises the steps of S1, building a bridge structure theory vibration modal; S2, collecting bridge vibration data; S3, utilizing an information processing module, and performing real-time online data processing on the bridge vibration data; S4, utilizing a structure modal analysis module, and on the basis of the bridge vibration data and the neural network computing technology, automatically performing intelligent judgment on structure damage. By means of the wireless communication technology, the bridge structure dynamic modal, and the structure damage neural network recognition technology, the problems that in the prior art, only a local bridge structure is reflected, the bridge damage is not likely to berecognized, the cost of a data collection sensor is high, the service life is short, mass data cannot be analyzed in real time, online real-time monitoring is performed, and time and labor are wastedare solved, the automatic bridge health monitoring system can achieve integrated bridge structure analysis, automatic damage recognition and online real-time mass data analysis, and a large number ofmanpower and material resources are saved.

Description

technical field [0001] The invention relates to the technical field of bridge engineering, in particular to a bridge health monitoring method and system. Background technique [0002] BIM model: Building Information Modeling, Building Information Modeling. [0003] NPU: Neural-network Processing Unit, neural network processor. [0004] The bridge is a key node project related to the lifeline of the national economy and the lifeline of the city. In order to ensure the safe operation of the bridge structure, it is necessary to establish a bridge structure health monitoring system. Bridge health monitoring is an important part of bridge operation and maintenance management. By monitoring bridges, it can provide theoretical support for basic maintenance, and more importantly, avoid sudden disasters caused by bridge damage. [0005] Traditional bridge health monitoring is mainly to pre-set (or embed) mechanical sensors, temperature sensors and other components on the bridge, an...

AI Technical Summary

Problems solved by technology

Monitoring aims to obtain the cross-sectional stress, strain, and deflection of different parts of the bridge. The disadvantages of this monitoring system are as follows: ①The monitoring target is mainly static parameters (stress, strain, deflection, etc.), and the response is often local structural stresses. Force conditions and local mechanical properties; ②It is difficult to identify damage when the load transmission path is inconsistent with the damaged part; ③The normal operation of embedded components such as sensors cannot be guaranteed, and the life of components is far lower than that of structures and is expensive; ④ It is difficult to realize online real-time monitoring, and it is difficult to capture the specific moment of overload operation. At the same time, there is no proper method to process and analyze the massive test data; ⑤ It takes a lot of manpower and material resources to realize online real-time monitoring

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