Generalised network architectures for environmental sensing: Case studies for a digitally enabled environment
Generalised network architectures for environmental sensing: Case studies for a digitally enabled environment
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用于环境传感的通用网络架构：数字化环境的案例研究
作者：
Mead M
数字化环境是一种将传感器与报告和分析工具相结合的环境，用于理解、观察或管理该环境。大规模数据收集和分析是描述和理解我们环境的新兴数字化方法的一部分。它被认为是解决一系列复杂和相互关联的社会、经济和环境问题的有效方法。该方法的开发和构建需要在分析控制方面取得进展，并明确定义与这些系统元素之间的交互有关的问题。本文对分析控制领域的若干问题进行了分析。它还讨论了进展的领域，以及随着传感网络的发展需要进一步调查的领域。本文描述了三个案例研究来说明这些观点。第一个是物理分析测试套件，作为“重塑厕所挑战”（RTTC）的一部分，用于在一系列环境中进行过程控制。第二个案例研究是克兰菲尔德城市天文台，它建立在RTTC元素的基础上，旨在允许用户开发用户界面，以监测、表征和比较各种环境和基础设施系统以及行为（例如，配水、电网）。第三个是国家基础设施数据和分析设施，这是一个基于云的高性能计算集群，用于接收、存储和将此类数据呈现给高级分析和可视化工具。
A digitally enabled environment is a setting which incorporates sensors coupled with reporting and analytics tools for understanding, observing or managing that environment. Large scale data collection and analysis are a part of the emerging digitally enabled approach for the characterisation and understanding of our environment. It is recognised as offering an effective methodology for addressing a range of complex and interrelated social, economic and environmental concerns. The development and construction of the approach requires advances in analytics control linked with a clear definition of the issues pertaining to the interaction between elements of these systems. This paper presents an analysis of selected issues in the field of analytics control. It also discusses areas of progress, and areas in need of further investigation as sensing networks evolve. Three case studies are described to illustrate these points. The first is a physical analytics test kit developed as a part of the “Reinvent the Toilet Challenge” (RTTC) for process control in a range of environments. The second case study is the Cranfield Urban Observatory that builds on elements of the RTTC and is designed to allow users to develop user interfaces to monitor, characterise and compare a variety of environmental and infrastructure systems plus behaviours (e.g., water distribution, power grids). The third is the Data and Analytics Facility for National Infrastructure, a cloud-based high-performance computing cluster, developed to receive, store and present such data to advanced analytical and visualisation tools.
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大数据和生态系统研究计划
DOI：
--
发表时间：
2014
期刊：
影响因子：
--
作者：
D. Raffaelli;J. Bullock;S. Cinderby;I. Durance;B. Emmett;J. Harris;K. Hicks;T. Oliver;D. Paterson;P. White
通讯作者：
P. White
生活实验室作为创新平台的关键结构和定义
影响因子：
1.8
作者：
M. Westerlund;S. Leminen;Christ Habib
通讯作者：
Christ Habib
DOI：
10.1016/j.envsoft.2014.10.007
发表时间：
2015
期刊：
Environ. Model. Softw.
影响因子：
--
作者：
C. Vitolo;Yehia El-khatib;D. Reusser;C. Macleod;W. Buytaert
通讯作者：
C. Vitolo;Yehia El-khatib;D. Reusser;C. Macleod;W. Buytaert
开辟海岸
影响因子：
4.6
作者：
Rumson A
通讯作者：
Rumson A
利用 EO 卫星数据进行城市地区和沿海地区安全和威胁监测的创新型网络地理信息系统
DOI：
--
发表时间：
2015
期刊：
影响因子：
--
作者：
M. Moszynski;M. Kulawiak;A. Chybicki;Krzysztof Bruniecki;T. Bieliński;Z. Łubniewski;A. Stepnowski
通讯作者：
A. Stepnowski