scholarly journals Emergency Support Unmanned Aerial Vehicle for Forest Fire Surveillance

Electronics ◽  
2020 ◽  
Vol 9 (2) ◽  
pp. 260 ◽  
Author(s):  
Abdulla Al-Kaff ◽  
Ángel Madridano ◽  
Sergio Campos ◽  
Fernando García ◽  
David Martín ◽  
...  
Keyword(s):  
Emergency Response ◽  
Forest Fire ◽  
Specific Area ◽  
Weather Conditions ◽  
Temperature Sensors ◽  
Fire Monitoring ◽  
Ground Station ◽  
Thermal Cameras ◽  
Aerial Vehicle ◽  
Rich Information

The advances in autonomous technologies and microelectronics have increased the use of Autonomous Unmanned Aerial Vehicles (UAVs) in more critical applications, such as forest fire monitoring and fighting. In addition, implementing surveillance methods that provide rich information about the fires is considered a great tool for Emergency Response Teams (ERT). From this aspect and in collaboration with Telefónica Digital España, Dronitec S.L, and Divisek Systems, this paper presents a fire monitoring system based on perception algorithms, implemented on a UAV, to perform surveillance tasks allowing the monitoring of a specific area, in which several algorithms have been implemented to perform the tasks of autonomous take-off/landing, trajectory planning, and fire monitoring. This UAV is equipped with RGB and thermal cameras, temperature sensors, and communication modules in order to provide full information about the fire and the UAV itself, sending these data to the ground station in real time. The presented work is validated by performing several flights in a real environment, and the obtained results show the efficiency and the robustness of the proposed system, against different weather conditions.

scholarly journals Data collection task planning of a fixed-wing unmanned aerial vehicle in forest fire monitoring

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Hao Zhang ◽  
Lihua Dou ◽  
Bin Xin ◽  
Jie Chen ◽  
Minggang Gan ◽  
...  
Keyword(s):  
Data Collection ◽  
Unmanned Aerial Vehicle ◽  
Forest Fire ◽  
Task Planning ◽  
Fire Monitoring ◽  
Aerial Vehicle

scholarly journals Design and Implementation of a Tether-Powered Hexacopter for Long Endurance Missions

2021 ◽  
Vol 11 (24) ◽  
pp. 11887
Author(s):  
Kai-Hung Chang ◽  
Shao-Kang Hung
Keyword(s):  
Precision Agriculture ◽  
Research Work ◽  
Specific Area ◽  
Electrical Energy ◽  
Theoretical Models ◽  
Flight Time ◽  
Intelligent Surveillance ◽  
Ground Station ◽  
Aerial Vehicle ◽  
Long Endurance

A tether-powered unmanned aerial vehicle is presented in this article to demonstrate the highest altitude and the longest flight time among surveyed literature. The grid-powered ground station transmits high voltage electrical energy through a well-managed conductive tether to a 2-kg hexacopter hovering in the air. Designs, implementations, and theoretical models are discussed in this research work. Experimental results show that the proposed system can operate over 50 m for 4 h continuously. Compared with battery-powered multicopters, tether-powered ones have great advantages on specific-area long-endurance applications, such as precision agriculture, intelligent surveillance, and vehicle-deployed cellular sites.

Computer Vision Method for Forest Fires Detection Based on RGB Images Obtained by Unmanned Motor Glider

2021 ◽  
pp. 71-78
Author(s):  
Michael Yu. Kataev ◽  
Eugene Yu. Kartashov
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Forest Fire ◽  
Forest Fires ◽  
Fire Detection ◽  
Monitoring Systems ◽  
Colour Space ◽  
Fire Monitoring ◽  
Aerial Vehicle ◽  
Rgb Images ◽  
Forest Fire Detection

The article proposes a method (algorithm) of forest fire detection by means of RGB images obtained by using an unmanned aerial vehicle (motor glider). It includes several stages associated with background detection and subtraction and recognition of fire areas by means of RGB colour space. The proposed method was tested using images of forest fires. It is proposed to use unmanned aerial vehicles capable to monitor large areas continuously for several hours. The results of calculations are shown, which demonstrate that the proposed method allows us to detect areas of images occupied by forest fires and may be used in automatic forest fire monitoring systems.

Construction of a multi-source heterogeneous hybrid platform for big data

2021 ◽  
pp. 1-10
Author(s):  
Ying Wang ◽  
Yiding Liu ◽  
Minna Xia
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Forest Fire ◽  
Original Data ◽  
Big Data Analysis ◽  
Multiple Sources ◽  
Data Types ◽  
Fire Monitoring ◽  
Data Platform

Big data is featured by multiple sources and heterogeneity. Based on the big data platform of Hadoop and spark, a hybrid analysis on forest fire is built in this study. This platform combines the big data analysis and processing technology, and learns from the research results of different technical fields, such as forest fire monitoring. In this system, HDFS of Hadoop is used to store all kinds of data, spark module is used to provide various big data analysis methods, and visualization tools are used to realize the visualization of analysis results, such as Echarts, ArcGIS and unity3d. Finally, an experiment for forest fire point detection is designed so as to corroborate the feasibility and effectiveness, and provide some meaningful guidance for the follow-up research and the establishment of forest fire monitoring and visualized early warning big data platform. However, there are two shortcomings in this experiment: more data types should be selected. At the same time, if the original data can be converted to XML format, the compatibility is better. It is expected that the above problems can be solved in the follow-up research.

Infra-red line camera data-driven edge detector in UAV forest fire monitoring

2021 ◽  
Vol 111 ◽  
pp. 106574
Author(s):  
Francesco De Vivo ◽  
Manuela Battipede ◽  
Eric Johnson
Keyword(s):  
Forest Fire ◽  
Data Driven ◽  
Edge Detector ◽  
Fire Monitoring ◽  
Infra Red ◽  
Red Line

The Message of “APEC Blue” for the Prevention and Control of Urban Air Pollution in China

2016 ◽  
Vol 04 (04) ◽  
pp. 1650027
Author(s):  
Rong ZHU
Keyword(s):  
Air Pollution ◽  
Emergency Response ◽  
Prevention And Control ◽  
Urban Air Pollution ◽  
Pollution Prevention ◽  
Warning System ◽  
Weather Conditions ◽  
Control Measures ◽  
Atmospheric Pollutant ◽  
And Control

Analysis of the meteorological conditions for atmospheric pollutant dispersion before and after the 2014 APEC meeting shows very significant effects of air pollution prevention and control measures on the meeting. It proves that the proper measures to control air pollution in the Beijing-Tianjin-Hebei Region are: establishing a regional emergency response mechanism to reduce emissions in the case of heavy air pollution, strengthening the local emergency response measures for emission reduction, and enhancing the early warning system for weather conditions conducive to heavy air pollution.

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