The Experts below are selected from a list of 360 Experts worldwide ranked by ideXlab platform
P. Vieira - One of the best experts on this subject based on the ideXlab platform.
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Forest Fire Finder – DOAS application to long-range Forest Fire detection
Copernicus Publications, 2017Co-Authors: Valente R. De Almeida, P. VieiraAbstract:Fires are an important factor in shaping Earth's ecosystems. Plant and animal life, in almost every land habitat, are at least partially dependent on the effects of Fire. However, their destructive force, which has often proven uncontrollable, is one of our greatest concerns, effectively resulting in several policies in the most important industrialised regions of the globe. This paper aims to comprehensively characterise the Forest Fire Finder (FFF), a Forest Fire detection system based mainly upon a spectroscopic technique called differential optical absorption spectroscopy (DOAS). The system is designed and configured with the goal of detecting higher-than-the-horizon smoke columns by measuring and comparing scattered sunlight spectra. The article covers hardware and software, as well as their interactions and specific algorithms for day mode operation. An analysis of data retrieved from several installations deployed in the course of the last 5 years is also presented. Finally, this paper features a discussion on the most prominent future improvements planned for the system, as well as its ramifications and adaptations, such as a thermal imaging system for short-range Fire seeking or environmental quality control
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Forest Fire finder doas application to long range Forest Fire detection
Atmospheric Measurement Techniques, 2016Co-Authors: Rui Valente De Almeida, P. VieiraAbstract:Abstract. Fires are an important factor in shaping Earth's ecosystems. Plant and animal life, in almost every land habitat, are at least partially dependent on the effects of Fire. However, their destructive force, which has often proven uncontrollable, is one of our greatest concerns, effectively resulting in several policies in the most important industrialised regions of the globe. This paper aims to comprehensively characterise the Forest Fire Finder (FFF), a Forest Fire detection system based mainly upon a spectroscopic technique called differential optical absorption spectroscopy (DOAS). The system is designed and configured with the goal of detecting higher-than-the-horizon smoke columns by measuring and comparing scattered sunlight spectra. The article covers hardware and software, as well as their interactions and specific algorithms for day mode operation. An analysis of data retrieved from several installations deployed in the course of the last 5 years is also presented. Finally, this paper features a discussion on the most prominent future improvements planned for the system, as well as its ramifications and adaptations, such as a thermal imaging system for short-range Fire seeking or environmental quality control.
Wenbin Li - One of the best experts on this subject based on the ideXlab platform.
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Forest Fire detection system based on wireless sensor network
Conference on Industrial Electronics and Applications, 2009Co-Authors: Junguo Zhang, Wenbin LiAbstract:As we all know, the Forest is considered as one of the most important and indispensable resources, the prevention and detection of the Forest Fire, have been researched hotly in worldwide Forest Fire Prevention Departments. Based on the deficiencies of conventional Forest Fire detection on real time and monitoring accuracy, the wireless sensor network technique for Forest Fire detection was introduced, together with satellite monitoring, aerial patrolling and manual watching, an omni-bearing and stereoscopic air and ground Forest-Fire detection pattern was found so that the decision for Fire-extinguishing or Fire prevention can be made rightly and real-timely by related government departments. A cluster-based wireless sensor network paradigm for Forest Fire real-time detection was put forward in this paper. Some key questions were discussed emphatically, such as the ad hoc network related technology, the node hardware designing, the Forest-Fire forecasting model and the propagation characteristic of UHF wireless signal and so on.
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Forest Fire detection system based on a zigbee wireless sensor network
Frontiers of Forestry in China, 2008Co-Authors: Junguo Zhang, Wenbin LiAbstract:Compared with the traditional techniques of Forest Fire detection, a wireless sensor network paradigm based on a ZigBee technique was proposed. The proposed technique is in real time, given the exigencies of Forest Fires. The architecture of a wireless sensor network for Forest Fire detection is described. The hardware circuitry of the network node is designed based on a CC2430 chip. The process of data transmission is discussed in detail. Environmental parameters such as temperature and humidity in the Forest region can be monitored in real time. From the information collected by the system, decisions for Fire fighting or Fire prevention can be made more quickly by the relevant government departments.
Rui Valente De Almeida - One of the best experts on this subject based on the ideXlab platform.
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Forest Fire finder doas application to long range Forest Fire detection
Atmospheric Measurement Techniques, 2016Co-Authors: Rui Valente De Almeida, P. VieiraAbstract:Abstract. Fires are an important factor in shaping Earth's ecosystems. Plant and animal life, in almost every land habitat, are at least partially dependent on the effects of Fire. However, their destructive force, which has often proven uncontrollable, is one of our greatest concerns, effectively resulting in several policies in the most important industrialised regions of the globe. This paper aims to comprehensively characterise the Forest Fire Finder (FFF), a Forest Fire detection system based mainly upon a spectroscopic technique called differential optical absorption spectroscopy (DOAS). The system is designed and configured with the goal of detecting higher-than-the-horizon smoke columns by measuring and comparing scattered sunlight spectra. The article covers hardware and software, as well as their interactions and specific algorithms for day mode operation. An analysis of data retrieved from several installations deployed in the course of the last 5 years is also presented. Finally, this paper features a discussion on the most prominent future improvements planned for the system, as well as its ramifications and adaptations, such as a thermal imaging system for short-range Fire seeking or environmental quality control.
Junguo Zhang - One of the best experts on this subject based on the ideXlab platform.
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Forest Fire detection system based on wireless sensor network
Conference on Industrial Electronics and Applications, 2009Co-Authors: Junguo Zhang, Wenbin LiAbstract:As we all know, the Forest is considered as one of the most important and indispensable resources, the prevention and detection of the Forest Fire, have been researched hotly in worldwide Forest Fire Prevention Departments. Based on the deficiencies of conventional Forest Fire detection on real time and monitoring accuracy, the wireless sensor network technique for Forest Fire detection was introduced, together with satellite monitoring, aerial patrolling and manual watching, an omni-bearing and stereoscopic air and ground Forest-Fire detection pattern was found so that the decision for Fire-extinguishing or Fire prevention can be made rightly and real-timely by related government departments. A cluster-based wireless sensor network paradigm for Forest Fire real-time detection was put forward in this paper. Some key questions were discussed emphatically, such as the ad hoc network related technology, the node hardware designing, the Forest-Fire forecasting model and the propagation characteristic of UHF wireless signal and so on.
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Forest Fire detection system based on a zigbee wireless sensor network
Frontiers of Forestry in China, 2008Co-Authors: Junguo Zhang, Ning Han, Jiangming KanAbstract:Compared with the traditional techniques of Forest Fire detection, a wireless sensor network paradigm based on a ZigBee technique was proposed. The proposed technique is in real time, given the exigencies of Forest Fires. The architecture of a wireless sensor network for Forest Fire detection is described. The hardware circuitry of the network node is designed based on a CC2430 chip. The process of data transmission is discussed in detail. Environmental parameters such as temperature and humidity in the Forest region can be monitored in real time. From the information collected by the system, decisions for Fire fighting or Fire prevention can be made more quickly by the relevant government departments.
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Forest Fire detection system based on a zigbee wireless sensor network
Frontiers of Forestry in China, 2008Co-Authors: Junguo Zhang, Wenbin LiAbstract:Compared with the traditional techniques of Forest Fire detection, a wireless sensor network paradigm based on a ZigBee technique was proposed. The proposed technique is in real time, given the exigencies of Forest Fires. The architecture of a wireless sensor network for Forest Fire detection is described. The hardware circuitry of the network node is designed based on a CC2430 chip. The process of data transmission is discussed in detail. Environmental parameters such as temperature and humidity in the Forest region can be monitored in real time. From the information collected by the system, decisions for Fire fighting or Fire prevention can be made more quickly by the relevant government departments.
Meng Xiaoqiao - One of the best experts on this subject based on the ideXlab platform.
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Real-time Forest Fire detection with wireless sensor networks
Wireless Communications Networking and Mobile Computing 2005. Proceedings. 2005 International Conference on, 2005Co-Authors: Yu Liyang, Wang Wei-neng, Meng XiaoqiaoAbstract:In this paper, we propose a wireless sensor network paradigm for real-time Forest Fire detection. The wireless sensor network can detect and forecast Forest Fire more promptly than the traditional satellite-based detection approach. This paper mainly describes the data collecting and processing in wireless sensor networks for real-time Forest Fire detection. A neural network method is applied to in-network data processing. We evaluate the performance of our approach by simulations.