International Forest Fire Fighting iWBBnts.uni-duisburg-essen.de/publications/poster/iWBB-en.pdf ·...
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International Forest Fire Fighting iWBB Prof. Dr.-Ing. H. I. Willms, Dipl.-Ing. Wolfgang Krüll Department of Communication Systems Motivation Forest fires are a major problem in many places around the world, significant economic and environmental damages are caused every year. An increasing number can be recorded world- wide, not only in South Europe, California and Australia. The idea behind this project is to develop a system consisting of all necessary parts such as early detection, remote sensing techniques, logistics, training by simulation, and fire-fighting vehicles. Contact: Prof. Dr.-Ing. H. I. Willms [email protected] An integrated approach • Early detection to prevent the propagation • Sufficient supply of extinguishing devices and maintenance • Adequate logistical infrastructure • Training of personnel by simulation • Moving qualified operational performance as fast as possible to the source of the fire • Continuous observation of fire spread Early detection • Camera based systems for monitoring large and high risk areas • Online analysis of recorded video sequences Clearly identified fires • An alarm is going directly to the fire fighters • Suppression will be initialized In case of an ambiguous decision • Use of an autonomously flying video drone (UAV) to confirm or unconfirm an alarm detected by the video system False alarms Possible false alarms are caused e.g. by dust produced by farmers, pollen, fog, smoke and water plumes produced by power plants. A very high reliability of fire detection and concomitant low false alarm rate can be achieved by the combination of a microwave radiometric sensor and additional sensors for fire products respectively smoke particles, working with conventional and established methods of fire detection. CO H 2 KW Hekatron Smoke Sensor ThermaCam Data acquisition / Detection algorithm Secondary Smoke Sensor GTE Gas Sensors The Department of Communication Systems (NTS) and the FGAN Research Institute for High Frequency Physics and Radar Techniques (FHR) will provide the detection system for the carrier platform. Project partners AIRMATIC GmbH, Hemer AirRobot GmbH & CoKG, Arnsberg CAE Elektronik GmbH, Stolberg Fernuniversität in Hagen, PRT FGAN- FHR, Wachtberg GSW e.V., Düsseldorf LOG GmbH, Bonn Schweitzer Ingenieurgesellschaft mbH, Korschenbroich Universität Paderborn, C.I.K. Universität Duisburg-Essen, NTS
Transcript of International Forest Fire Fighting iWBBnts.uni-duisburg-essen.de/publications/poster/iWBB-en.pdf ·...
International Forest Fire FightingiWBB
Prof. Dr.-Ing. H. I. Willms,Dipl.-Ing. Wolfgang Krüll
Department of Communication Systems
MotivationForest fires are a major problem in many places around the world, significant economic and environmental damages are caused every year. An increasing number can be recorded world-wide, not only in South Europe, California and Australia. The idea behind this project is to develop a system consisting of all necessary parts such as early detection, remote sensing techniques, logistics, training by simulation, and fire-fighting vehicles.
Contact: Prof. Dr.-Ing. H. I. Willms [email protected]: Prof. Dr.-Ing. H. I. Willms [email protected]
An integrated approach• Early detection to prevent the propagation• Sufficient supply of extinguishing devices
and maintenance• Adequate logistical infrastructure• Training of personnel by simulation• Moving qualified operational performance as
fast as possible to the source of the fire• Continuous observation of fire spread
Early detection• Camera based systems for monitoring large
and high risk areas• Online analysis of recorded video sequencesClearly identified fires• An alarm is going directly to the fire fighters• Suppression will be initialized In case of an ambiguous decision • Use of an autonomously flying video drone
(UAV) to confirm or unconfirm an alarm detected by the video system
False alarmsPossible false alarms are caused e.g. by dust produced by farmers, pollen, fog, smoke and water plumes produced by power plants. A very high reliability of fire detection and concomitant low false alarm rate can be achieved by the combination of a microwave radiometric sensor and additional sensors for fire products respectively smoke particles, working with conventional and established methods of fire detection.
CO H2 KWHekatron
Smoke SensorThermaCam
Data acquisition / Detection algorithm
SecondarySmoke Sensor
GTE Gas Sensors
CO H2 KWHekatron
Smoke SensorThermaCam
Data acquisition / Detection algorithm
SecondarySmoke Sensor
GTE Gas Sensors
The Department of Communication Systems (NTS) and the FGAN Research Institute for High Frequency Physics and Radar Techniques (FHR) will provide the detection system for the carrier platform.Project partnersAIRMATIC GmbH, HemerAirRobot GmbH & CoKG, Arnsberg CAE Elektronik GmbH, StolbergFernuniversität in Hagen, PRTFGAN- FHR, WachtbergGSW e.V., DüsseldorfLOG GmbH, BonnSchweitzer Ingenieurgesellschaft mbH,
KorschenbroichUniversität Paderborn, C.I.K.Universität Duisburg-Essen, NTS
