A visualization-based bridge health monitoring system and method

Abstract

The invention discloses a visualization-based bridge health monitoring system and method, and relates to the field of bridge monitoring. The system includes a data collection module used for collecting related information of a bridge; an on-site data processing module used for receiving, filtering and storing data information acquired by all data collectors; a plurality of on-site databases used for storing the data information after filtering and checking by the on-site data collection module; an on-site collector analysis and management module used for detecting the working states of the collectors; a central database module used for receiving all on-site data information and collector state information; and a background analysis module used for judging whether the data collection module is connected with the background analysis module in real time, whether the bridge runs normally is judged according to the data information, and an analysis result is written in the central database module. The visualization-based bridge health monitoring system provided by the invention can avoid database redundancy, and improve the rate of detecting and maintaining detection equipment.

Description

technical field [0001] The invention relates to the field of bridge management, in particular to a visualization-based bridge health monitoring system and method. Background technique [0002] During the use of the bridge, due to the long-term external pressure and tension, it will age and be damaged. It is usually necessary to monitor the bridge to avoid sudden accidents caused by bridge damage. [0003] At present, the safety detection of bridges is mainly through the installation of mechanical sensors, temperature sensors, humidity sensors and other detection equipment on the bridge to form a real-time detection mechanism. The real-time detection mechanism uploads the collected data to the data analysis center for analysis, and judges whether the corresponding bridge is If there is damage, notify the corresponding maintenance personnel to carry out maintenance; at the same time, in order to ensure the accuracy of the data collected by the real-time detection agency, it is...

AI Technical Summary

Problems solved by technology

[0004] Since the existing data and equipment management mainly rely on manual management, the data analysis center accepts a large number of data items, and continues to increase with the growth of time, which makes the workload of relevant maintenance personnel continue to increase. At the same time, it will also lead to , the root cause of the fault needs to be diagnosed step by step, and the work efficiency is low; and when the detection equipment fails or changes, the relevant information is updated slowly, and most of them need to be reported layer by layer to the maintenance personnel in the corresponding field before taking corresponding measures. Maintenance measures, information will be delayed

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