The Information System for Bridge Networks Condition Monitoring and Prediction

Khalid Aboura; Bijan Samali

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The Information System for Bridge Networks Condition Monitoring and Prediction

机译：桥梁网络状态监测与预报信息系统

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This paper introduces an information system for estimating lifetime characteristics of elements of bridges and predicting the future conditions of networks of bridges. The Information System for Bridge Networks Condition Monitoring and Prediction was developed for the Roads and Traffic Authority of the state of New South Wales, Australia. The conceptual departure from the standard bridge management systems is the use of a novel stochastic process built out of the gamma process. The statistical model was designed for the estimation of infrastructure lifetime, based on the analysis of more than 15 years of bridge inspection data. The predictive curve provides a coherent mathematical model for conducting target level constrained and funding based maintenance optimization.

机译：本文介绍了一个信息系统，用于估计桥梁元素的寿命特性并预测桥梁网络的未来状况。为澳大利亚新南威尔士州道路和交通管理局开发了桥梁网络状态监测和预测信息系统。从标准桥梁管理系统的概念上的偏离是使用从伽玛过程中建立的新颖的随机过程。该统计模型基于对超过15年的桥梁检查数据的分析而设计，用于估计基础设施寿命。预测曲线为进行目标水平约束和基于资金的维护优化提供了一个连贯的数学模型。

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来源
《International journal of information technologies and systems approach》 |2012年第1期|p.1-18|共18页
作者
Khalid Aboura; Bijan Samali;
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作者单位

University of Technology Sydney, Australia;

University of Technology Sydney, Australia;

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原文格式 PDF
正文语种 eng
中图分类
关键词
bridge reliability; gamma process; information systems; statistical estimation; structural deterioration; support system;

机译：电桥可靠性伽玛过程信息系统;统计估计;结构恶化;支持系统;

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专利

1. Remote Bridge Monitoring Systems for Bridge Condition [J] . Sreenivas Alampalli, Gongkang Fu Journal of Low Frequency Noise & Vibration . 1997,第1期

机译：桥梁状况远程桥梁监控系统
2. Remote Bridge Monitoring Systems for Bridge Condition [J] . Sreenivas Alampalli, Gongkang Fu Journal of Low Frequency Noise & Vibration . 1997,第1期

机译：桥梁状况远程桥梁监控系统
3. PREDICTION OF BRIDGE MONITORING INFORMATION CHAOTIC USING TIME SERIES THEORY BY MULTI-STEP BP AND RBF NEURAL NETWORKS [J] . JIANXI YANG, YINGXIN ZHOU, JIANTING ZHOU, Intelligent automation and soft computing . 2013,第3期

机译：基于时间序列理论的多步BP和RBF神经网络预测桥梁监测信息混沌
4. Design of Embedded Remote Working Condition Monitoring System Based on Wireless Network Bridge [C] . Chunling Yang, Fangyong Lu, Min Zhu, IEEE Conference on Industrial Electronics and Applications . 2021

机译：基于无线网络桥的嵌入式远程工作状态监控系统设计
5. Artificial neural network models for the prediction of bridge deck condition ratings. [D] . Winn, Emily K. 2011

机译：人工神经网络模型用于预测桥面工况等级。
6. Beliefs as Self-Sustaining Networks: Drawing Parallels Between Networks of Ecosystems and Adults’ Predictions [O] . Ramon D. Castillo, Heidi Kloos, Michael J. Richardson, -1

机译：作为自我维持网络的信念：在生态系统网络和成年人的预测之间画出平行线
7. Prediction of bridge deck condition rating based on artificial neural networks [O] . Tu Trung Nguyen, Kien Dinh 2019

机译：基于人工神经网络的桥梁条件评级预测
8. Connecticut Permanent Long-Term Bridge Monitoring Network Volume 6: Monitoring of a Continuous Plate Girder Bridge with Load Restrictions - Route 15 Over the Housatonic River in Stratford (Bridge No. 761). [R] . Prusaczyk, S., Trivedi, H., Christenson, R. E., 2014

机译：康涅狄格永久性长期桥梁监测网络第6卷：监测带有载荷限制的连续板梁桥 - 在斯特拉特福（Hratatonic River）上的15号公路（761号桥）。

The Information System for Bridge Networks Condition Monitoring and Prediction

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