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Notice of retraction
Vol. 34, No. 8(3), S&M3042

Notice of retraction
Vol. 32, No. 8(2), S&M2292

Print: ISSN 0914-4935
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
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Sensors and Materials, Volume 35, Number 1(3) (2023)
Copyright(C) MYU K.K.
pp. 285-305
S&M3168 Research Paper of Special Issue
https://doi.org/10.18494/SAM4216
Published in advance: January 5, 2023
Published: January 31, 2023

Approach to Urban Geospatial Monitoring Combining Sensor Web and High-performance Computing Infrastructure [PDF]

Xi Zhai, Wanzeng Liu, Ying Yang, Xiuli Zhu, Xinli Di, Yunlu Peng, and Tingting Zhao

(Received October 31, 2022; Accepted December 19, 2022)

Keywords: urban geospatial monitoring, sensor web, Apache Spark, 3D scene construction, stream computing

Urban geospatial monitoring is a dynamic early warning in the process of urban development. It reflects urban spatial changes from a geospatial perspective. Modern urban digital governance must use spatial data infrastructures, integrate multisource data, and implement dynamic real-time monitoring in 3D space. To meet the real-time monitoring requirements of urban geographic space in 3D environments, the rapid construction of 3D scenes, the rapid processing of monitoring information, and dynamic process simulation have become key challenges. This paper presents an approach to urban geospatial monitoring that combines a sensor web and a high-performance computing infrastructure. The approach leverages Apache Spark and stream computing to transform the traditional processing algorithm into a data retrieval and analysis process supported by high-performance computing, which drives the rapid construction of 3D scenes and the dynamic calculation of sensor web observations. The effectiveness of this method is demonstrated through a case of urban waterlogging monitoring.

Corresponding author: Wanzeng Liu, Ying Yang


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This work is licensed under a Creative Commons Attribution 4.0 International License.

Cite this article
Xi Zhai, Wanzeng Liu, Ying Yang, Xiuli Zhu, Xinli Di, Yunlu Peng, and Tingting Zhao, Approach to Urban Geospatial Monitoring Combining Sensor Web and High-performance Computing Infrastructure, Sens. Mater., Vol. 35, No. 1, 2023, p. 285-305.



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