Thermal imaging & vision systems
increasingly a reality there, especially in the spring and summer months. For several years now, there have been more and more fires in natural habitats. After numerous forest fires in 2019, a total of 117,000 hectares of forest were equipped with a network of automatic fire detection systems at the beginning of 2021. A total of 48 cameras now monitor the forests above the treetops at twelve points distributed across the department near particularly endangered areas. “The ADELIE System allowed us to
improve the detection time as well as the precision of the fire location,” says Christophe Burbaud, comptroller general at the Sarthe Fire Department (SDIS72).
ADVANTAGES
Continuous monitoring of forest fires: all year round, on the whole or part of the territory, day and night.
Time saving: real-time visualisation of the disaster, immediate transmission of alarms, precise localisation of the source of the fire thanks to a triangulation system. Thanks to the cameras and especially the doubt-removal camera, verification and confirmation is much faster than an emergency call.
Elimination of human risks: no more isolated men on watch towers.
appear. This ensures that an alarm is only triggered if this detection has not taken place in an exclusion zone, i.e. a zone where permanent smoke is known to exist, such as a factory chimney. If only one tower has detected the
smoke, the distance indicated in the telemetry is used. If at least two towers have detected it, the exact location of the source of the fire in the control centre is determined by triangulation. As with any automatic system, human validation of the alarms transmitted is essential with ADELIE. The staff at the control centre use a high-resolution camera with a powerful optical zoom (30x, with a wide-angle lens) to confirm whether it is indeed a fire outbreak. The persons responsible for surveillance can observe the situation from a distance without interrupting the detection system thanks to these cameras, the so-called doubt removal cameras. The ADELIE detection system thus remains fully active in order to be prepared even if several fires occur.
The system is extremely powerful.
For each site, 13,500 images are taken, transmitted and stored for 30 days within 24 hours, regardless of whether they contain a detection or not. In addition to these captured images, the system also stores the videos from the camera that were used to observe and validate the incident, thus enabling comprehensive documentation. Based on all the data collected, ADELIE can generate statistics on the basis of which emergency services can align and optimise their measures. “With the help of the stored images, we can analyse the course of the fire and the firefighting afterwards. The amount of data grows continuously with each event that feeds the database. This in turn increases the reliability of the statistics needed for the continuous improvement of prevention and control measures,” sums up Bouillot. The system is successfully used in the
Sarthe department, the most densely forested department in the north-western quarter of France. Forest fires are
Long-term monitoring: data storage enables continuous improvement of forest fire monitoring and detection.
ADELIE is thus more than an automatic fire
and forest fire detection system, but an integrated fire and forest fire monitoring and information management system. The French image processing solution thus makes a decisive contribution to damage limitation. Through early fire detection and precise localisation of fire outbreaks, it significantly reduces the risk of spread and can minimise associated damage to people, the environment and the national economy.
IDS Imaging Development Systems
en.ids-imaging.com
38
November 2022 Instrumentation Monthly
Page 1 |
Page 2 |
Page 3 |
Page 4 |
Page 5 |
Page 6 |
Page 7 |
Page 8 |
Page 9 |
Page 10 |
Page 11 |
Page 12 |
Page 13 |
Page 14 |
Page 15 |
Page 16 |
Page 17 |
Page 18 |
Page 19 |
Page 20 |
Page 21 |
Page 22 |
Page 23 |
Page 24 |
Page 25 |
Page 26 |
Page 27 |
Page 28 |
Page 29 |
Page 30 |
Page 31 |
Page 32 |
Page 33 |
Page 34 |
Page 35 |
Page 36 |
Page 37 |
Page 38 |
Page 39 |
Page 40 |
Page 41 |
Page 42 |
Page 43 |
Page 44 |
Page 45 |
Page 46 |
Page 47 |
Page 48 |
Page 49 |
Page 50 |
Page 51 |
Page 52 |
Page 53 |
Page 54 |
Page 55 |
Page 56 |
Page 57 |
Page 58 |
Page 59 |
Page 60 |
Page 61 |
Page 62 |
Page 63 |
Page 64 |
Page 65 |
Page 66 |
Page 67 |
Page 68 |
Page 69 |
Page 70 |
Page 71 |
Page 72 |
Page 73 |
Page 74 |
Page 75 |
Page 76 |
Page 77 |
Page 78 |
Page 79 |
Page 80 |
Page 81 |
Page 82
