A bridge structural health monitoring information system based on GIS and DBMS

2005 ◽  
Author(s):  
W. Z. Shi ◽  
J. M. Ko ◽  
C. Y. Zhao ◽  
L. Chen
Keyword(s):  
Information System ◽  
Structural Health Monitoring ◽  
Health Monitoring ◽  
Structural Health ◽  
Monitoring Information

scholarly journals An integrated system for building structural health monitoring and early warning based on an Internet of things approach

2017 ◽  
Vol 13 (1) ◽  
pp. 155014771668910 ◽  
Author(s):  
Jun Wang ◽  
Yongfeng Fu ◽  
Xiaokang Yang
Keyword(s):  
Information System ◽  
Structural Health Monitoring ◽  
Internet Of Things ◽  
Health Monitoring ◽  
Early Warning ◽  
Cloud Services ◽  
Structural Health ◽  
Integrated Information System ◽  
Monitoring And Early Warning ◽  
Integrated Information

The intelligent security monitoring of buildings and their surroundings has become increasingly crucial as the number of high-rise buildings increases. Building structural health monitoring and early warning technology are key components of building safety, the implementation of which remains challenging, and the Internet of things approach provides a new technical measure for addressing this challenge. This article presents a novel integrated information system that combines Internet of things, building information management, early warning system, and cloud services. Specifically, the system involves an intelligent data box with enhanced connectivity and exchangeability for accessing and integrating the data obtained from distributed heterogeneous sensing devices. An extensible markup language (XML)–based uniform data parsing model is proposed to abstract the various message formats of heterogeneous devices to ensure data integration. The proposed Internet of things–based integrated information system structure was applied for monitoring an actual pit excavation engineering site. Three early warning levels were implemented according to rules based on the threshold value, which determined the specific safety personnel to be notified. The proposed Internet of things–based integrated information system is demonstrated to improve the effectiveness of monitoring processes and decision making in construction informatics applications. Our work highlights the crucial importance of a systematic approach toward integrated information systems for effective information collection and structural health monitoring.

Application Study of GIS and GPS in Bridge Structural Health Monitoring

2012 ◽  
Vol 226-228 ◽  
pp. 1622-1625 ◽  
Author(s):  
Yu Li Yang ◽  
Xin Hai Dang ◽  
Yu Ming Wei ◽  
Xue Ping Wang
Keyword(s):  
Structural Health Monitoring ◽  
Health Monitoring ◽  
Three Dimension ◽  
Bridge Management ◽  
Gis Technology ◽  
Application Study ◽  
Structural Health ◽  
Management Scheme ◽  
Gps Rtk ◽  
Monitoring Information

It’s very important that Bridge Structural Health Monitoring to bridge management and maintenance. In this paper,the authors study the Application of GIS and GPS in Bridge Structural Health Monitoring. Introduce the application field of GIS in bridge structural health monitoring and the method of GPS-RTK Technology to measure the bridge three dimension dynamic coordinate, proposed the System General Framework of GIS in Bridge Structural Health Monitoring,mainly study the problems that acquisition and collection of Monitoring information,the database management scheme of the system, the method that of GIS manage Spatial and attribute information which related to bridge structural health monitoring and to process and analysis the Monitoring data. Also analysis the feasibility of using GPS and GIS technology in a Bridge Structural Health Monitoring.

scholarly journals Integrated System of Structural Health Monitoring and Intelligent Management for a Cable-Stayed Bridge

2014 ◽  
Vol 2014 ◽  
pp. 1-12 ◽  
Author(s):  
Bin Chen ◽  
Xu Wang ◽  
Dezhang Sun ◽  
Xu Xie
Keyword(s):  
Decision Making ◽  
Structural Health Monitoring ◽  
Health Monitoring ◽  
Integrated System ◽  
Working Environment ◽  
Structural Health ◽  
Cable Stayed Bridge ◽  
Application Service ◽  
Intelligent Management ◽  
Monitoring Information

It is essential to construct structural health monitoring systems for large important bridges. Zhijiang Bridge is a cable-stayed bridge that was built recently over the Hangzhou Qiantang River (the largest river in Zhejiang Province). The length of Zhijiang Bridge is 478 m, which comprises an arched twin-tower space and a twin-cable plane structure. As an example, the present study describes the integrated system of structural health monitoring and intelligent management for Zhijiang Bridge, which comprises an information acquisition system, data management system, evaluation and decision-making system, and application service system. The monitoring components include the working environment of the bridge and various factors that affect bridge safety, such as the stress and strain of the main bridge structure, vibration, cable force, temperature, and wind speed. In addition, the integrated system includes a forecasting and decision-making module for real-time online evaluation, which provides warnings and makes decisions based on the monitoring information. From this, the monitoring information, evaluation results, maintenance decisions, and warning information can be input simultaneously into the bridge monitoring center and traffic emergency center to share the monitoring data, thereby facilitating evaluations and decision making using the system.

scholarly journals A Computing Model for Quantifying the Value of Structural Health Monitoring Information in Bridge Engineering

2020 ◽  
Vol 2020 ◽  
pp. 1-7 ◽  
Author(s):  
Baoquan Cheng ◽  
Lijie Wang ◽  
Jianling Huang ◽  
Xu Shi ◽  
Xiaodong Hu ◽  
...  
Keyword(s):  
Structural Health Monitoring ◽  
Monitoring System ◽  
Health Monitoring ◽  
Behavior Pattern ◽  
Bridge Engineering ◽  
Health Monitoring System ◽  
Structural Health ◽  
Computing Model ◽  
Structural Health Monitoring System ◽  
Monitoring Information

Structural health monitoring system can provide valuable information for improving decision-making process in maintenance and management of bridges. However, managers usually lack understanding of value of structural health monitoring information. This paper developed a computing model for quantifying the value of structural health monitoring information based on Bayesian theory. Then, the model was demonstrated and validated using a simple case and the key factors (i.e., system accuracy, reparation cost, prior probability of structural failure, and manager’s behavior pattern) influencing the value of structural health monitoring information were identified and discussed. Findings from this study help to answer the question of whether a structural health monitoring system should be installed and run, thus enriching the knowledge body of structural health monitoring.

VoI-informed decision-making for SHM system arrangement

2020 ◽  
pp. 147592172096273
Author(s):  
Wei-Heng Zhang ◽  
Jianjun Qin ◽  
Da-Gang Lu ◽  
Sebastian Thöns ◽  
Michael Havbro Faber
Keyword(s):  
Decision Making ◽  
Structural Health Monitoring ◽  
Health Monitoring ◽  
Structural Integrity ◽  
Monitoring Systems ◽  
Structural Health ◽  
Integrity Management ◽  
Potential Benefits ◽  
Health Monitoring Systems ◽  
Monitoring Information

Structural health monitoring systems have been widely implemented to provide real-time continuous data support and to ensure structural safety in the context of structural integrity management. However, the quantification of the potential benefits of structural health monitoring systems has not yet attracted widespread attention. At the same time, there is an urgent need to develop strategies, such as optimizing the monitoring period, monitoring variables, and other factors, to maximize the potential benefits of structural health monitoring systems. Considering the continuity of structural health monitoring information, a framework is developed in this article to support decision-making for structural health monitoring systems arrangement in the context of structural integrity management, which integrates the concepts of value of information and risk-based inspection planning based on an approach which utilizes a conjugate prior probability distribution for updating of the probabilistic models of structural performances based on structural health monitoring information. An example considering fatigue degradation of steel structures is investigated to illustrate the application of the proposed framework. The considered example shows that the choice of monitoring variables, the monitoring period, and the monitoring quality may be consistently optimized by the application of the proposed framework and approach. Finally, discussions and conclusions are provided to clarify the potential benefits of the proposed framework with a special view to practical applications of structural health monitoring systems.

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