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Visualized Panoramic Display Platform for Transmission Cable Based on Space-Time Big Data

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Dependability in Sensor, Cloud, and Big Data Systems and Applications (DependSys 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1123))

Abstract

On the basis of analyzing the traditional management modes of existing transmission cables, a novel implementation of the visualization platform for the transmission cable based on the space-time data is presented in Fujian power grid. The platform uses internet of things, big data and 3D GIS technology, to integrate multi-source massive data. It realizes the whole transmission cable three-dimensional data management, cable channel panoramic display, three-dimensional scene browsing and positioning, cable production management application, cable operation status monitoring, field operation application, VR user experience module, etc. In order to improve and ensure the safety and reliability operation of transmission cables, it provides support for decision making, comprehensive display, application and management of holographic panorama for transmission lines. It can also support client, multi-touch display system, separated flat panel control screen, mobile terminal and other diversified display terminal three-dimensional applications.

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Acknowledgments

This work was supported in part by the National Natural Science Foundation of China (Grant No. 61502404), Natural Science Foundation of Fujian Province of China (Grant No. 2019J01851), Distinguished Young Scholars Foundation of Fujian Educational Committee (Grant No. DYS201707), Xiamen Science and Technology Program (Grant No. 3502Z20183059), and Open Fund of Key Laboratory of Data mining and Intelligent Recommendation, Fujian Province University. We thank the anonymous reviewers for their great helpful comments.

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Correspondence to Ying Ma .

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Yu, R., Yao, Q., Zhong, T., Li, W., Ma, Y. (2019). Visualized Panoramic Display Platform for Transmission Cable Based on Space-Time Big Data. In: Wang, G., Bhuiyan, M.Z.A., De Capitani di Vimercati, S., Ren, Y. (eds) Dependability in Sensor, Cloud, and Big Data Systems and Applications. DependSys 2019. Communications in Computer and Information Science, vol 1123. Springer, Singapore. https://doi.org/10.1007/978-981-15-1304-6_25

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  • DOI: https://doi.org/10.1007/978-981-15-1304-6_25

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-1303-9

  • Online ISBN: 978-981-15-1304-6

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