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Web-GIS based bridge information database visualization analytics and distributed sensing framework.

机译:基于Web-GIS的桥梁信息数据库可视化分析和分布式传感框架。

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摘要

The national bridge system plays very important role in society operations ensuring mobilities that can sustain social and economic growth. Recent increasingly growing concerns about the safety of existing bridges are shared by highway agencies at all levels of government, including federal, state and municipal. To provide a user-friendly and effective environment and services for accessing and analyzing the National Bridge Inventory (NBI) database, a powerful bridge data management system needs be developed to assist the bridge managers or professionals to manage and maintain effectively and efficiently the national bridge system.;The objective of this research is to develop a Web-GIS (geographic information system) based bridge information database visualization analytics and distributed sensing framework for nation-wide bridge system management. This is accomplished by integrating modern technologies including GIS, Internet, database, remote sensing, visualization, and smartphone technologies. The objectives of this study include: 1) establishment of a system framework for effective use of current available bridge condition data and volunteering sensing data; 2) development of visualization and visual analytic applications appropriate for bridge information; 3) development of user-defined criteria query for decision-making support; and 4) development of a remote sensing database to aid engineers and other professionals in accessing, retrieving and manipulating information from the bridge database. The citizen-based sensors for bridge monitoring utilize voluntary information-sharing from individuals as a monitoring technique.;The Web-GIS based Bridge Management System (BMS) framework developed in this research allows centralized data collection and data visualization analytics at any place and any time. It is intended as a critical step towards rapid bridge diagnostics using an integrated sensing data approach. Current bridge management is predominantly at state level. Furthermore, by adopting the "citizen sensor" concept, public data can be added into the bridge database as additional information for bridge management.;The outcome of this research is a framework called: "Bridge-WGI." The six critical modules formed the core of the framework, which are: 1) bridge database systems; 2) general bridge information visualization; 3) bridge information analytical visualization; 4) user-defined criteria query; 5) citizen sensing application in bridge monitoring; and 6) remote sensing database application.;The Bridge-WGI framework demonstrates the capabilities of Web-based BMS can be accomplished via the integration of several technologies. These capabilities include: 1) application of volunteering sensing; 2) flexible accessibility via Internet; 3) several advanced visualization of bridge data; 4) bridge data integration; and 5) online user-defined query for decision making support.
机译:国家桥梁系统在社会活动中起着非常重要的作用,以确保能够维持社会和经济增长的人员流动。包括联邦,州和市政府在内的各级政府的公路部门都对最近对现有桥梁安全性的关注日益增长。为了提供用户友好和有效的环境和服务来访问和分析国家桥梁清单(NBI)数据库,需要开发功能强大的桥梁数据管理系统,以帮助桥梁管理人员或专业人员有效地管理和维护国家桥梁本研究的目的是为全国范围的桥梁系统管理开发基于Web-GIS(地理信息系统)的桥梁信息数据库可视化分析和分布式传感框架。这是通过集成包括GIS,Internet,数据库,遥感,可视化和智能手机技术的现代技术来实现的。这项研究的目的包括:1)建立有效利用当前可用桥梁状况数据和自愿感应数据的系统框架; 2)开发适合桥梁信息的可视化和视觉分析应用程序; 3)开发用户定义的标准查询以提供决策支持; (4)开发遥感数据库,以帮助工程师和其他专业人员访问,检索和处理桥梁数据库中的信息。用于桥梁监视的基于公民的传感器利用来自个人的自愿信息共享作为监视技术。;本研究开发的基于Web-GIS的桥梁管理系统(BMS)框架允许在任何地方,任何地点进行集中的数据收集和数据可视化分析时间。这是迈向使用集成感测数据方法进行快速桥梁诊断的关键步骤。当前的网桥管理主要处于状态级别。此外,通过采用“公民传感器”概念,可以将公共数据作为桥梁管理的附加信息添加到桥梁数据库中。该研究的结果是一个名为“ Bridge-WGI”的框架。六个关键模块构成了框架的核心,它们是:1)桥接数据库系统; 2)通用桥梁信息可视化; 3)桥梁信息分析可视化; 4)用户自定义条件查询; 5)公民感知在桥梁监测中的应用; 6)遥感数据库应用程序。Bridge-WGI框架演示了可以通过集成多种技术来实现基于Web的BMS的功能。这些功能包括:1)自愿感测的应用; 2)通过互联网的灵活访问; 3)桥梁数据的几种高级可视化; 4)桥接数据集成; 5)在线用户定义查询以提供决策支持。

著录项

  • 作者

    Tong, Yonghong.;

  • 作者单位

    The University of North Carolina at Charlotte.;

  • 授予单位 The University of North Carolina at Charlotte.;
  • 学科 Engineering Civil.
  • 学位 Ph.D.
  • 年度 2012
  • 页码 185 p.
  • 总页数 185
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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