Fusão de dados de temperatura e luminosidade para detecção de queimadas em florestas
Resumo
Aplicações para detecção de eventos geralmente usam sensores apropriados para identificar a ocorrência de um fenômeno no ambiente. Neste trabalho, propomos e avaliamos dois algoritmos, baseados em métodos de fusão de dados, para detecção de fogo em florestas quando temos disponíveis apenas sensores de luz e temperatura. A idéia central é detectar fogo mesmo que sensores mais adequados ao tipo de evento não estejam disponíveis. Nesse sentido, coletamos e analisamos dados em cenários semelhantes às florestas e inserimos fogo controlado para simular os evento. Os resultados indicam a utilidade da luz para detecção de fogo à noite e para distinguir o calor resultante do fogo e do sol. A máquina de estados forneceu maior estabilidade na detecção sob diferentes condições do ambiente.Referências
Antoine-Santoni, T., Santucci, J.-F., de Gentili, E., Silvani, X., and Morandini, F. (2009). Performance of a protected wireless sensor network in a fire. analysis of fire spread and data transmission. Sensors, 9(8):5878–5893.
Awang, A. and Suhaimi, M. H. (2007). RIMBAMON: A forest monitoring system using wireless sensor networks. In Proceedings of the International Conference on Intelligent and Advanced Systems (ICIAS), Kuala Lumpur, Malaysia.
Baumann, A., Boltz, M., Ebling, J., Koenig, M., Loos, H. S., Merkel, M., Niem, W., Warzelhan, J. K., and Yu, J. (2008). A review and comparison of measures for automatic video surveillance systems. EURASIP Journal on Image and Video Processing. Article ID 824726. 30 pgs.
Breejen, E., Breuers, M., Cremer, F., Kemp, R., Roos, M., Schutte, K., and Vries, J. (1998). Autonomous forest fire detection. In Proceedings of the Third International Conference on Forest Fire Research and Fourteenth Conference on Fire and Forest Meteorology, Luso, Portugal.
Crossbow (2007). MTS/MDA Sensor Board Users Manual, Rev A edition.
Crossbow (2009). MICAz Wireless Measurement System Datasheet, 6020-0060-04 Rev A edition.
Doolin, D. M. and Sitar, N. (2005). Wireless sensors for wildfire monitoring. In Proceedings of the SPIE Symposium on Smart Structures & Materials (NDE), volume 5765, San Diego, USA.
Fleming, M. and Robertson, R. G. (2003). Fire management tech tips: The osborne fire finder. Technical Report TR-1311-SDTDC.
Hart, J. K. and Martinez, K. (2006). Environmental sensor networks: A revolution in the earth system science? Earth-Science Reviews, 78:177–191.
Hefeeda, M. and Bagheri, M. (2007). Wireless sensor networks for early detection of forest fires. IEEE International Conference on Mobile Adhoc and Sensor Systems Conference, 0:1–6.
Li, Z., Nadon, S., and j. Cihlar (2000). Satellite detection of canadian boreal forest fires: development and application of an algorithm. International Journal of Remote Sensing, 21:3057–3069.
Liang, Q. and Wang, L. (2005). Event detection in wireless sensor networks using fuzzy logic system. In Proceedings of the IEEE International Conference on Computational Intelligence for Homeland Security and Personal Safety (CIHSPS), pages 52–55, Orlando, FL, USA.
Nakamura, E. F., Loureiro, A. A. F., and Frery, A. C. (2007). Information fusion for wireless sensor networks: Methods, models, and classifications. ACM Computing Surveys, 39(3):9.
Stipanicev, D., Vuko, T., Krstinic, D., Stula, M., and Bodrozic, L. (2006). Forest fire protection by advanced video detection system - croatian experiences. In The International Emergency Management Society (TIEMS), Trogir,Croatia.
Vescoukis, V., Olma, T., and Markatos, N. (2007). Experience from a pilot implementation of an ”in-situ”forest temperature measurement network. In IEEE 18th International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), pages 1–5, Athens, Greece.
Werner-Allen, G., Johnson, J., Ruiz, M., Lees, J., and Welsh, M. (2005). Monitoring volcanic eruptions with a wireless sensor network. In Proceedings of the Second European Workshop on Wireless Sensor Networks (EWSN), Istanbul, Turkey.
Yu, L., Wang, N., and Meng, X. (2005). Real-time forest fire detection with wireless sensor networks. In Proceedings of International Conference On Wireless Communications, Networking and Mobile Computing (WIMOB), pages 1214–1217, Montreal, QC, Canada.
Awang, A. and Suhaimi, M. H. (2007). RIMBAMON: A forest monitoring system using wireless sensor networks. In Proceedings of the International Conference on Intelligent and Advanced Systems (ICIAS), Kuala Lumpur, Malaysia.
Baumann, A., Boltz, M., Ebling, J., Koenig, M., Loos, H. S., Merkel, M., Niem, W., Warzelhan, J. K., and Yu, J. (2008). A review and comparison of measures for automatic video surveillance systems. EURASIP Journal on Image and Video Processing. Article ID 824726. 30 pgs.
Breejen, E., Breuers, M., Cremer, F., Kemp, R., Roos, M., Schutte, K., and Vries, J. (1998). Autonomous forest fire detection. In Proceedings of the Third International Conference on Forest Fire Research and Fourteenth Conference on Fire and Forest Meteorology, Luso, Portugal.
Crossbow (2007). MTS/MDA Sensor Board Users Manual, Rev A edition.
Crossbow (2009). MICAz Wireless Measurement System Datasheet, 6020-0060-04 Rev A edition.
Doolin, D. M. and Sitar, N. (2005). Wireless sensors for wildfire monitoring. In Proceedings of the SPIE Symposium on Smart Structures & Materials (NDE), volume 5765, San Diego, USA.
Fleming, M. and Robertson, R. G. (2003). Fire management tech tips: The osborne fire finder. Technical Report TR-1311-SDTDC.
Hart, J. K. and Martinez, K. (2006). Environmental sensor networks: A revolution in the earth system science? Earth-Science Reviews, 78:177–191.
Hefeeda, M. and Bagheri, M. (2007). Wireless sensor networks for early detection of forest fires. IEEE International Conference on Mobile Adhoc and Sensor Systems Conference, 0:1–6.
Li, Z., Nadon, S., and j. Cihlar (2000). Satellite detection of canadian boreal forest fires: development and application of an algorithm. International Journal of Remote Sensing, 21:3057–3069.
Liang, Q. and Wang, L. (2005). Event detection in wireless sensor networks using fuzzy logic system. In Proceedings of the IEEE International Conference on Computational Intelligence for Homeland Security and Personal Safety (CIHSPS), pages 52–55, Orlando, FL, USA.
Nakamura, E. F., Loureiro, A. A. F., and Frery, A. C. (2007). Information fusion for wireless sensor networks: Methods, models, and classifications. ACM Computing Surveys, 39(3):9.
Stipanicev, D., Vuko, T., Krstinic, D., Stula, M., and Bodrozic, L. (2006). Forest fire protection by advanced video detection system - croatian experiences. In The International Emergency Management Society (TIEMS), Trogir,Croatia.
Vescoukis, V., Olma, T., and Markatos, N. (2007). Experience from a pilot implementation of an ”in-situ”forest temperature measurement network. In IEEE 18th International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), pages 1–5, Athens, Greece.
Werner-Allen, G., Johnson, J., Ruiz, M., Lees, J., and Welsh, M. (2005). Monitoring volcanic eruptions with a wireless sensor network. In Proceedings of the Second European Workshop on Wireless Sensor Networks (EWSN), Istanbul, Turkey.
Yu, L., Wang, N., and Meng, X. (2005). Real-time forest fire detection with wireless sensor networks. In Proceedings of International Conference On Wireless Communications, Networking and Mobile Computing (WIMOB), pages 1214–1217, Montreal, QC, Canada.
Publicado
20/07/2010
Como Citar
PENHA JR., Osman S. da; NAKAMURA, Eduardo F..
Fusão de dados de temperatura e luminosidade para detecção de queimadas em florestas. In: SIMPÓSIO BRASILEIRO DE COMPUTAÇÃO UBÍQUA E PERVASIVA (SBCUP), 2. , 2010, Belo Horizonte/MG.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2010
.
p. 241-250.
ISSN 2595-6183.
