Paper
3 April 2023 Using IoT to promote the construction of natural gas industry ecosystem
Yingqiang Wang, Qiang Cao, Madhavi Devaraj
Author Affiliations +
Proceedings Volume 12599, Second International Conference on Digital Society and Intelligent Systems (DSInS 2022); 125992K (2023) https://doi.org/10.1117/12.2673422
Event: 2nd International Conference on Digital Society and Intelligent Systems (DSInS 2022), 2022, Chendgu, China
Abstract
As a kind of clean energy, natural gas is widely used and has achieved great development. However, natural gas enterprises are facing some difficulties now, such as difficulty in payment, maintenance of pipeline network, safety of gas use, and distribution of natural gas consumption. This paper studies that the use of IoT technology to establish an ecosystem in the natural gas industry can effectively solve those problems. In this paper, the advantages brought by the ecosystem for the digital transformation of natural gas are introduced firstly. Then this paper introduces how to establish an ecological model of the natural gas industry. The tasks undertaken by relevant stakeholders in the construction of the ecosystem, the process of data collection by taking the pipeline pressure as an example, and some intelligent applications of the ecosystem are presented. The problems existing in the current ecosystem construction process and future research directions are given finally. The research results of this paper can be used not only for the construction of natural gas industry ecosystem, but also as a reference for other industries to establish ecosystems.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yingqiang Wang, Qiang Cao, and Madhavi Devaraj "Using IoT to promote the construction of natural gas industry ecosystem", Proc. SPIE 12599, Second International Conference on Digital Society and Intelligent Systems (DSInS 2022), 125992K (3 April 2023); https://doi.org/10.1117/12.2673422
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KEYWORDS
Ecosystems

Internet of things

Industry

Industrial applications

Data transmission

Clouds

Sensors

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