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Uso de fuentes de información geográfica voluntarias en proyectos de ingeniería

机译:在工程项目中使用自愿性地理信息资源

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摘要

Obtaining reliable and accessible GIS data is often the most difficult and costly part of an engineering project. Following new tendences, public authorities have started to create GIS repositories or, in some cases, communities have collected and made the date publicly available in initiatives such as OpenStreetMap (OSM). However, in both cases there are some challenges that must be faced. For example, Open Data repositories are usually encoded in several standards and/or in a non computer friendly format (e.g. PDF format). In addition, community-made data may present gaps but generally are encoded following standards and provide very good tools to edit and visualise it. In order to solve these two problems we propose here the use of the following three steps methodology: a) evaluate if the data actually provided by the community is sufficient b) use (or create) the tools to transform these data to the OSM format (and upload it if possible) c) and finally, use their tools to access, edit, visualise or analyse the data. In this way, we have the best of the two worlds: a complete dataset and good tools to manipulate it. Moreover, we will present here three engineering problems where we have successfully applied this methodology: Long-Term Load Forecast, Overhead Power Line inspection with UAV, Environmental quality index. Finally we will present other successful projects that have used OSM data and tools: Technical Cognitive Assistance Systems, Election Results Maps, Flight Gears Terrain Simulator and FireFIGHT
机译:获得可靠且可访问的GIS数据通常是工程项目中最困难且成本最高的部分。随着新趋势的发展,公共当局已经开始创建GIS信息库,或者在某些情况下,社区已经在OpenStreetMap(OSM)等计划中收集并公开发布了日期。但是,在两种情况下都必须面对一些挑战。例如,开放数据存储库通常以几种标准和/或非计算机友好格式(例如PDF格式)进行编码。此外,社区制作的数据可能会存在差距,但通常会按照标准进行编码,并提供非常好的工具来对其进行编辑和可视化。为了解决这两个问题,我们在此建议使用以下三个步骤的方法:a)评估社区实际提供的数据是否足够b)使用(或创建)工具将这些数据转换为OSM格式(并在可能的情况下上传)c)最后,使用他们的工具访问,编辑,可视化或分析数据。这样,我们就拥有了两个世界中的最好的:完整的数据集和操作它的良好工具。此外,在这里,我们将介绍三个已成功应用此方法的工程问题:长期负荷预测,使用无人机进行架空电力线检查,环境质量指数。最后,我们将介绍使用OSM数据和工具的其他成功项目:技术认知辅助系统,选举结果图,飞行器地形模拟器和FireFIGHT

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