SIRIO: an integrated forest fire monitoring, detection and decision support system - performance and results of the installation in Sanremo (Italy)

Abstract

Forest fires in our society cause a lot of damage, in particular regarding the economic and environmental landscape. In order to monitor a large portion of territory automatically, with a good cost/performances trade-off, it is necessary to develop new early warning systems. We propose a ground-based system with modular architecture, equipped with low cost commercial sensor. The idea is to develop the software able to manage forest fire monitoring. The technique is based on static and dynamic analysis of chromatic changes between images, tailored for our case of study in a large scale monitoring of vegetation and using different sensors to reduce or eliminate the false alarm rate. Concerning the image geo-referencing tool, the present work describes an innovative projective geo-referencing algorithm able to geo-reference complex orography regions using fixed ground station images. Besides, it does not need the collection of Ground Control Points, which is a very hard task in complex orography environments. In order to make a user oriented product and to help the operator during extinguishing activities, a decision support tool has been developed as well. This work presents the results of one year monitoring campaign conducted in cooperation with the Civil Protection Offices in Sanremo (IM), Italy.

An Environmentally Aware Scheme of Wireless Sensor Networks for Forest Fire Monitoring and Detection

“…For fire monitoring and detection application of WSNs, several important design goals and features must be considered such as energy efficiency, accurate localization, early detection, forecast capability and adaptivity to harsh environment [9]. There is a considerable amount of research works from literature related to forest fires using WSNs [20][21][22][23][24][25][26]. The authors of [27] implemented a real-world forest fire monitoring and detection system in the San Francisco area.…”

“…Through the early detection and analysis on the noise power spectrum of forest fires, a proper strategy can be adopted to fight the fire. Reference [26] proposed a technique which is based on static and dynamic analysis of chromatic changes between images and using different sensors to reduce or eliminate the false alarm rate. To enhance the conventional approach of WSNs in monitoring and detection, authors of [28] propose an image-based real-time fire detection technique.…”

An Intelligent Wireless System for Field Ecology Monitoring and Forest Fire Warning

“…This method is widely used because of its advantages, such as high accuracy, saving of labor, and capacity to continuously monitor for a long time. Many ground-based ecological monitoring stations are built to collect the visual or infrared images and microclimate data for forest fire warnings [17,18,19]. Based on static and dynamic analysis of chromatic changes, histogram changes, or luminance changes in images, forest fires can be detected and classified.…”

A New Modular Control Board for Pulse-Jet Cleaning of Dust Collector Filter Bags

“…They cover a large range of applications highlighting the multidisciplinary attitude and interests of the research group. During the year some environmental monitoring sensors have been developed such as a microwave radar for rain monitoring [4], sensors and techniques for forest fire monitoring [5,6] etc. Starting from the first multipurpose board realized in 2012 [7], a large number of industrial projects have also been realized.…”