An IoT-based electronic sniffing for forest fire detection

Abstract

The preservation of the natural ecosystem is a topical issue that is receiving increasing attention not only from the scientific community but from the entire world population. Forests and woodlands are the main actors responsible for mitigating climate change, able to absorb significant amounts of carbon dioxide. The preservation of the arboreal areas has been addressed through the adoption of various solutions. This paper proposes a new real-time fire monitoring and detection system based on Digital Mobile Radio (DMR) nodes and a Social Internet of Things (SIoT) platform on which artificial intelligence algorithms have been implemented. The results obtained show the ability to detect the slightest variation in the observed parameters, determining the direction and speed of fire propagation.

XplAInable: Explainable AI Smoke Detection at the Edge

“…This trend is enabled by the accuracy and low power requirements of state-of-the-art gas sensors. Among many applications, e-noses play an important role in air-quality monitoring [18][19][20] and smoke detection systems [21][22][23][24].…”

“…With the target of detecting smoke gas outlined, we now go into the detail of the sensor setup. As already alluded to by other works, the Bosch BME688 is a volume-controlled MOS sensor [20,23,34]. One BME688 consists of a total of four sensors for temperature, humidity, pressure, and resistance, i.e., the actual gas detection.…”

Weaving the Nodes: Actor Relations in Forest Fire Handling

“…Forest fires handling have been widely carried out with a focus as illustrated by the keywords forest fires handling, which are presented in Figure 1. This research includes examining forest fires handling from the perspective of actor-networks (27,37,39), media agenda building (40), policy implementation (41), GIS-based information system (42), intelligent Digital Mobile Radio (DMR) nodes and a Social Internet of Things (SIoT) platform (43), and collaboration governance (44). Prior study had been carried out to see the actor roles in the case of misused land.…”

Improving Data Quality of Low-Cost Light-Scattering PM Sensors: Toward Automatic Air Quality Monitoring in Urban Environments

“…used as the building block for creating denser monitoring networks. These sensing nodes can be adopted in city-wide applications [2], [3], on bike sharing fleets [4], in locationaware places [5], inside moving vehicles [6], [7], to monitor the conservation state of historic buildings [8], [9], and to detect fire in forests [10] using novel networking solution for sparsely populated areas [11]. Furthermore, mobile monitoring enables participatory sensing approaches.…”