数据通信与存储

F. Branger, S. Tait, Véronique Chaffard, E. Brelot, V. Lecomte, Isabelle Mallet, P. Skipworth
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引用次数: 0

摘要

城市排水系统的监测程序可能会从分布在城市环境中的来源产生大量数据,并在较长时间内以相对较高的采样率工作。使用适应性强、可靠的通信系统收集数据是第一个挑战。然后,对收集到的数据进行结构化是有效管理数据质量和可访问性的首要条件。在邻近的研究领域中,管理大量数据的主题已经产生了几个(开放的)标准和协议,用于数据库结构、传输和存储,以确保各方可以在其上构建工作流/软件的明确定义。本章描述了城市排水和雨水管理系统的相关方法、适当的标准以及案例研究中的例子。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Data communication and storage
Monitoring programs in urban drainage systems generate, potentially, a huge amount of data from sources distributed in the urban environment, working at relatively high sampling rates for extended periods of time. Collecting data using adaptable and reliable communication systems is the first challenge. Then structuring the collected data is a first requisite for effectively managing the quality and accessibility of the data. In adjacent fields of research, the topic of managing huge collections of data has resulted in several (open) standards and protocols for database structure, transfer and storage to ensure unambiguous definitions on which parties can build their workflows/software. This chapter describes relevant approaches for urban drainage and stormwater management systems, and appropriate standards along with examples from case studies.
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