Proposal of an Iot Solution to Fire Risk Assessment Problem
Several of the fighting weaknesses evidenced by the forest fires tragedies of the last years are rooted in the disconnection between the current technical/scientific resources and the availability of the resulting information to operational agents on the ground. In order to be effective, a pre-emptive response to similar disasters must include the articulation between local authorities at municipal level - in prevention, preparedness and initial response - and the common citizen who is on the field, resides there, and has a deeper knowledge about the field of operation. This work intends to take a first step in the development of a tool that can serve to improve the civic awareness of all and to support the decision-making of the competent authorities.
Keywords: Internet of things, Citizen science, Fire weather index
 J. Bioco and P. Fazendeiro. ”Towards Forest Fire Prevention and Combat Through Citizen Science.”World Conference on Information Systems and Technologies. Springer, Cham, 2019.
 National Geographic Society. Citizen Science. https://www.nationalgeographic.org/encyclopedia/ citizen-science/ (25/09/2019)
 Butcher, Gregory S., Daniel K. Niven, and John R. Sauer. ”Using Christmas Bird Count data to assess population dynamics and trends of waterbirds.” American Birds 59.105th Christmas Bird (2005): 23-25.
 Wired Brand Lab. People are the point of IoT. https://www.ibm.com/blogs/internet-of- things/iot-people- point/ (14/09/2019)
 Molina-Pico, Antonio, et al. ”Forest monitoring and wildland early fire detection by a hierarchical wireless sensor network.” Journal of Sensors 2016 (2016).
 Yu, Liyang, Neng Wang, and Xiaoqiao Meng. ”Real-time forest fire detection with wireless sensor networks.” Proceedings. 2005 International Conference on Wireless Communications, Networking and Mobile Computing, 2005.. Vol. 2. IEEE, 2005.
 Aslan, Yunus Emre, Ibrahim Korpeoglu, and Özgür Ulusoy. ”A framework for use of wireless sensor networks in forest fire detection and monitoring.” Computers, Environment and Urban Systems 36.6 (2012): 614-625.
 IT for Nature. https://smokedsystem.com/about-system/ (25/09/2019)
 Insight Robotics:Wildfire Detection System InsightFD + Insight Globe. https://www.insightrobotics.com/ en/services/wildfire-detection-system/ (25/09/2019)
 Van Wagner, Charles Edward. Structure of the Canadian forest fire weather index. Vol. 1333. Environment Canada, Forestry Service, 1974.
 Dark Sky API: Dark Sky API. https://darksky.net/dev (28/09/2019)
 Firebase: Firebase Documentation. https://firebase.google.com/docs (28/09/2019)
 C. Gouveia et al. Apoio meteorológico à Prevenção e Combate aos Incêndios Florestais, Technical report IPMA, 2018.