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Cyber-Physical Geographical Information Service-Enabled Control of Diverse In-Situ Sensors
Realization of open online control of diverse in-situ sensors is a challenge. This paper proposes a Cyber-Physical Geographical Information Service-enabled method for control of diverse in-situ sensors, based on location-based instant sensing of sensors, which provides closed-loop feedbacks. The met...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4367321/ https://www.ncbi.nlm.nih.gov/pubmed/25625906 http://dx.doi.org/10.3390/s150202565 |
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author | Chen, Nengcheng Xiao, Changjiang Pu, Fangling Wang, Xiaolei Wang, Chao Wang, Zhili Gong, Jianya |
author_facet | Chen, Nengcheng Xiao, Changjiang Pu, Fangling Wang, Xiaolei Wang, Chao Wang, Zhili Gong, Jianya |
author_sort | Chen, Nengcheng |
collection | PubMed |
description | Realization of open online control of diverse in-situ sensors is a challenge. This paper proposes a Cyber-Physical Geographical Information Service-enabled method for control of diverse in-situ sensors, based on location-based instant sensing of sensors, which provides closed-loop feedbacks. The method adopts the concepts and technologies of newly developed cyber-physical systems (CPSs) to combine control with sensing, communication, and computation, takes advantage of geographical information service such as services provided by the Tianditu which is a basic geographic information service platform in China and Sensor Web services to establish geo-sensor applications, and builds well-designed human-machine interfaces (HMIs) to support online and open interactions between human beings and physical sensors through cyberspace. The method was tested with experiments carried out in two geographically distributed scientific experimental fields, Baoxie Sensor Web Experimental Field in Wuhan city and Yemaomian Landslide Monitoring Station in Three Gorges, with three typical sensors chosen as representatives using the prototype system Geospatial Sensor Web Common Service Platform. The results show that the proposed method is an open, online, closed-loop means of control. |
format | Online Article Text |
id | pubmed-4367321 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-43673212015-04-30 Cyber-Physical Geographical Information Service-Enabled Control of Diverse In-Situ Sensors Chen, Nengcheng Xiao, Changjiang Pu, Fangling Wang, Xiaolei Wang, Chao Wang, Zhili Gong, Jianya Sensors (Basel) Article Realization of open online control of diverse in-situ sensors is a challenge. This paper proposes a Cyber-Physical Geographical Information Service-enabled method for control of diverse in-situ sensors, based on location-based instant sensing of sensors, which provides closed-loop feedbacks. The method adopts the concepts and technologies of newly developed cyber-physical systems (CPSs) to combine control with sensing, communication, and computation, takes advantage of geographical information service such as services provided by the Tianditu which is a basic geographic information service platform in China and Sensor Web services to establish geo-sensor applications, and builds well-designed human-machine interfaces (HMIs) to support online and open interactions between human beings and physical sensors through cyberspace. The method was tested with experiments carried out in two geographically distributed scientific experimental fields, Baoxie Sensor Web Experimental Field in Wuhan city and Yemaomian Landslide Monitoring Station in Three Gorges, with three typical sensors chosen as representatives using the prototype system Geospatial Sensor Web Common Service Platform. The results show that the proposed method is an open, online, closed-loop means of control. MDPI 2015-01-23 /pmc/articles/PMC4367321/ /pubmed/25625906 http://dx.doi.org/10.3390/s150202565 Text en © 2015 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Chen, Nengcheng Xiao, Changjiang Pu, Fangling Wang, Xiaolei Wang, Chao Wang, Zhili Gong, Jianya Cyber-Physical Geographical Information Service-Enabled Control of Diverse In-Situ Sensors |
title | Cyber-Physical Geographical Information Service-Enabled Control of Diverse In-Situ Sensors |
title_full | Cyber-Physical Geographical Information Service-Enabled Control of Diverse In-Situ Sensors |
title_fullStr | Cyber-Physical Geographical Information Service-Enabled Control of Diverse In-Situ Sensors |
title_full_unstemmed | Cyber-Physical Geographical Information Service-Enabled Control of Diverse In-Situ Sensors |
title_short | Cyber-Physical Geographical Information Service-Enabled Control of Diverse In-Situ Sensors |
title_sort | cyber-physical geographical information service-enabled control of diverse in-situ sensors |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4367321/ https://www.ncbi.nlm.nih.gov/pubmed/25625906 http://dx.doi.org/10.3390/s150202565 |
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