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 An Integrated Data Collection and Remote Monitoring of Power Transmission Grid Using Internet of Things (IoT)
Tác giả hoặc Nhóm tác giả: Nguyen Tan Khoi, Tran Ho Thuy Tien
Nơi đăng: Proceedings of The 4th international conference on future networks and distributed systems (ICFNDS'20), 26-27 Nov, 2020, St.petersburg, Russia, ISBN 978-1-4503-8886-3; Số: 1;Từ->đến trang: 1-5;Năm: 2020
Lĩnh vực: Công nghệ thông tin; Loại: Báo cáo; Thể loại: Trong nước
TÓM TẮT
The Internet of Things (IoT) refers to a heterogeneous network of physical and virtual objects embedded. Most of the data collection solution today relies on specialized electronic devices located far apart, then perform data collection and analysis based on a fixed schedule. This paper proposes an improved IoT architecture takes into consideration the environment surrounding the devices, including the objects and fires to be detected, and other factors affecting the remote management and monitoring. We present the results of research and build an Integrated Monitoring System (IMS) based on IoT technology. The collected data in IMS can be used to cater to the different requirements from the various environment. The analysis results indicate that the designed platform is suitable for the resource-constrained IoT architecture and is scalable to be extended in various IoT scenarios.
ABSTRACT
The Internet of Things (IoT) refers to a heterogeneous network of physical and virtual objects embedded. Most of the data collection solution today relies on specialized electronic devices located far apart, then perform data collection and analysis based on a fixed schedule. This paper proposes an improved IoT architecture takes into consideration the environment surrounding the devices, including the objects and fires to be detected, and other factors affecting the remote management and monitoring. We present the results of research and build an Integrated Monitoring System (IMS) based on IoT technology. The collected data in IMS can be used to cater to the different requirements from the various environment. The analysis results indicate that the designed platform is suitable for the resource-constrained IoT architecture and is scalable to be extended in various IoT scenarios.
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