Evaluation of UAV Based Schemes for Forest Fire Monitoring

被引：13
|
作者：
Moulianitis, V. C. [1 ,2 ]
Thanellas, G. [2 ]
Xanthopoulos, N. [2 ]
Aspragathos, Nikos A. [2 ]
机构：
[1] Univ Aegean, Dept Prod & Syst Design Engn, Syros, Greece
[2] Univ Patras, Mech Engn & Aeronaut Dept, Patras, Greece
来源：
ADVANCES IN SERVICE AND INDUSTRIAL ROBOTICS, RAAD 2018 | 2019年 / 67卷
关键词：
Forest fire monitoring; UAV; Mechatronic evaluation;
D O I：
10.1007/978-3-030-00232-9_15
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper presents a mechatronic evaluation of forest fire monitoring systems based on UAV. To begin with, a mapping of the requirements to the mechatronic abilities, which should be embodied by these systems, is presented. The enabling technologies that support these abilities are briefly reported. The evaluation of these systems' architectural schemes is accomplished with the discrete Choquet integral. As a result, UAV based schemes are found to be better than other proposed schemes for forest fire monitoring.
引用
收藏
页码：143 / 150
页数：8
相关论文
共 50 条
  • [1] Assessing Forest Fire Dynamics in UAV-Based Tactical Monitoring System
    Sherstjuk, Volodymyr
    Zharikova, Maryna
    Dorovskaja, Irina
    Sheketa, Vasyl
    [J]. LECTURE NOTES IN COMPUTATIONAL INTELLIGENCE AND DECISION MAKING (ISDMCI 2020), 2020, 1246 : 285 - 301
  • [2] Forest Fire Monitoring Method Based on UAV Visual and Infrared Image Fusion
    Liu, Yuqi
    Zheng, Change
    Liu, Xiaodong
    Tian, Ye
    Zhang, Jianzhong
    Cui, Wenbin
    [J]. REMOTE SENSING, 2023, 15 (12)
  • [3] Forest Fire Monitoring System Based on UAV team, Remote Sensing, and Image Processing
    Sherstjuk, Vladimir
    Zharikova, Maryna
    Sokol, Igor
    [J]. 2018 IEEE SECOND INTERNATIONAL CONFERENCE ON DATA STREAM MINING & PROCESSING (DSMP), 2018, : 590 - 594
  • [4] Kalman Filter-based Wind Estimation for Forest Fire Monitoring with a Quadrotor UAV
    Xing, Zhewen
    Zhang, Youmin
    Su, Chun-Yi
    Qu, Yaohong
    Yu, Ziquan
    [J]. 2019 3RD IEEE CONFERENCE ON CONTROL TECHNOLOGY AND APPLICATIONS (IEEE CCTA 2019), 2019, : 743 - 748
  • [5] Forest Fire-Fighting Monitoring System Based on UAV team and Remote Sensing
    Sherstjuk, Vladimir
    Zharikova, Maryna
    Sokol, Igor
    [J]. 2018 IEEE 38TH INTERNATIONAL CONFERENCE ON ELECTRONICS AND NANOTECHNOLOGY (ELNANO), 2018, : 663 - 668
  • [6] Research on the Deployment Strategy of UAV Location for Forest Fire Monitoring
    Xian, Yongju
    Zuo, Weihao
    Wang, Zhou
    Tan, Wenguang
    [J]. Beijing Youdian Daxue Xuebao/Journal of Beijing University of Posts and Telecommunications, 2024, 47 (05): : 115 - 121
  • [7] Evaluation of Fire Intensity Based on Neural Networks in a Forest-Fire Monitoring System
    Sherstjuk, Vladimir
    Zharikova, Maryna
    [J]. 2019 IEEE 39TH INTERNATIONAL CONFERENCE ON ELECTRONICS AND NANOTECHNOLOGY (ELNANO), 2019, : 802 - 807
  • [8] Unmanned Aerial Vehicle (UAV) based Forest Fire Detection and monitoring for reducing false alarms in forest-fires
    Sudhakar, S.
    Vijayakumar, V.
    Kumar, C. Sathiya
    Priya, V
    Ravi, Logesh
    Subramaniyaswamy, V
    [J]. COMPUTER COMMUNICATIONS, 2020, 149 : 1 - 16
  • [9] Development of a deep learning-based surveillance system for forest fire detection and monitoring using UAV
    Shamta, Ibrahim
    Demir, Batikan Erdem
    [J]. PLOS ONE, 2024, 19 (03):
  • [10] Forest fire detection solution based on UAV aerial data
    Zhang, Lan
    Wang, Bing
    Peng, Weilong
    Li, Chao
    Lu, Zeping
    Guo, Yan
    [J]. International Journal of Smart Home, 2015, 9 (08): : 239 - 250
12345