LoRa Based Real-time Flood Detection and Monitoring System: A Brunei Darussalam Based Study

被引:1
|
作者
Yassin, Muhammad Ihsanuddin Haji Md [1 ]
Wan, Au Thien [1 ]
Newaz, S. H. Shah [1 ]
Omar, Saiful [1 ]
机构
[1] Univ Teknol Brunei, Sch Comp & Informat, Jalan Tungku Link, BE-1410 Gadong, Brunei
关键词
Arduino; disaster; flood; water level sensors; dash board;
D O I
10.1109/ICECIT54077.2021.9641097
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Hydro-meteorological related disasters have been known to be costly for governments and non-governmental organizations. This paper proposes a remote flood monitoring system (FDMS) that has the ability to detect water level rise and display real-time data thereby assisting in mitigating flood disasters at flood hot spot areas. Existing Web technologies are used in FDMS development to reduce flood mitigation costs. With the benefit of using LoRa technology, FDMS exports lightweight data in real-time. The responsible authorities like the National Disaster Management Center (NDMC) can simply set the parameters with the proposed FDMS and automatically let the system to alert the community at large nationwide or the NDMC stake holders for further preparedness and mitigation. Our solution provides the responsible authorities for effective flood management with the visual representation of data in real-time, allowing them to understand pattern and holistic view of the situation, and act accordingly.
引用
下载
收藏
页数:5
相关论文
共 50 条
  • [31] A Low-cost Real-time IoT based Air Pollution Monitoring using LoRa
    Walling, Supongmen
    Sengupta, Jayasree
    Das Bit, Sipra
    13TH IEEE INTERNATIONAL CONFERENCE ON ADVANCED NETWORKS AND TELECOMMUNICATION SYSTEMS (IEEE ANTS), 2019,
  • [32] Real-Time Concurrent LoRa Transmissions Based on Peak Tracking
    Wang, Jiliang
    Tong, Shuai
    Xu, Zhenqiang
    Xie, Pengjin
    IEEE TRANSACTIONS ON MOBILE COMPUTING, 2024, 23 (10) : 9582 - 9594
  • [33] Real-Time Image-based Driver Fatigue Detection and Monitoring System for Monitoring Driver Vigilance
    Tang Xinxing
    Zhou Pengfei
    Wang Ping
    PROCEEDINGS OF THE 35TH CHINESE CONTROL CONFERENCE 2016, 2016, : 4188 - 4193
  • [34] LoRaWAN Based Real-Time Air Quality Monitoring System
    Filip, Bogdan
    Simo, Attila
    Vatau, Doru
    Frigura-Iliasa, Flavin M.
    Musuroi, Sorin
    Andea, Petru
    2020 IEEE 18TH WORLD SYMPOSIUM ON APPLIED MACHINE INTELLIGENCE AND INFORMATICS (SAMI 2020), 2020, : 69 - 72
  • [35] Real-time monitoring system for landslides based on GPRS technology
    Li, Jianfeng
    Wang, Lei
    CONSTRUCTION AND URBAN PLANNING, PTS 1-4, 2013, 671-674 : 2067 - +
  • [36] A smartphone based real-time daily activity monitoring system
    Shumei Zhang
    Paul McCullagh
    Jing Zhang
    Tiezhong Yu
    Cluster Computing, 2014, 17 : 711 - 721
  • [37] IoT Based Real-Time Remote Patient Monitoring System
    Yew, Hoe Tung
    Ng, Ming Fung
    Ping, Soh Zhi
    Chung, Seng Kheau
    Chekima, Ali
    Dargham, Jamal A.
    2020 16TH IEEE INTERNATIONAL COLLOQUIUM ON SIGNAL PROCESSING & ITS APPLICATIONS (CSPA 2020), 2020, : 176 - 179
  • [38] Android relay based real-time data monitoring system
    Zong Xiaoping
    Peng Changxu
    Liu Wei
    Zhang Miao
    PROCEEDINGS OF THE FIFTH INTERNATIONAL SYMPOSIUM ON TEST AUTOMATION & INSTRUMENTATION, VOLS 1 AND 2, 2014, : 164 - 168
  • [39] Real-Time Monitoring System Using Location Based Service
    You, Jae-Hwe
    Lee, Young-Gu
    Jun, Moon-Seog
    UBIQUITOUS COMPUTING AND MULTIMEDIA APPLICATIONS, PT I, 2011, 150 : 369 - 379
  • [40] Real-time health monitoring system based on wearable devices
    Liu, Chuqing
    Chen, Guichen
    Yuan, Xueguang
    Zhang, Yang'an
    Xiao, Zhenyu
    2020 16TH INTERNATIONAL WIRELESS COMMUNICATIONS & MOBILE COMPUTING CONFERENCE, IWCMC, 2020, : 2002 - 2004