Lidar system controlled by computer for smoke identification...

Optics: measuring and testing – Range or remote distance finding – Base line instrument

Reexamination Certificate

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Details

C356S005010, C359S227000

Reexamination Certificate

active

10479250

ABSTRACT:
This invention relates to a method and an active system for detection and localization of early stage forest fires using lidar. In the simplest configuration the system includes a lidar and a control computer that operates the beam-scanning system and performs automatic recognition of the smoke signature in the lidar signal on the basis of a neural-network algorithm. The scanning procedure is optimized for the given topography and other characteristics of the area under surveillance. The neural network is simulated or implemented as a co-processor. To cover wider areas, several lidar stations may be linked together in a network, which allows simultaneous scanning of the suspicious areas by several neighboring lidars in order to guarantee maximum efficiency and false alarm reduction. The system allows the detection and localization of fires earlier and farther than passive systems, whose sensitivity is lower.

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patent: 5961314 (1999-10-01), Myhre et al.
patent: 0 978 718 (2000-02-01), None
Vilar R et al: “Estimation of required parameters for detection of small smoke plumes by lidar at 1.54mum” Applied Physics B (Lasers and Optics), Aug. 2000, Springer-Verlag, Germany, vol. B71, NR. 2, pp. 225-229 XP002221756 ISSN: 0946-2171 p. 225-p. 228.
Arrue B C et al: “An Intelligent System for False Alarm Reduction in Infrared Forest-Fire Detection” IEEE Intelligent Systems, IEEE Computer Society, Los Alamitos, CA, US, May 2000, pp. 64-73, XP000957357 ISSN: 1094-7167 p. 64-p. 72.

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