U.S. patents available from 1976 to present.
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Fire detection systems and methods

Patent 5832187 Issued on November 3, 1998. Estimated Expiration Date: Icon_subject November 3, 2015. Estimated Expiration Date is calculated based on simple USPTO term provisions. It does not account for terminal disclaimers, term adjustments, failure to pay maintenance fees, or other factors which might affect the term of a patent.

Patent References

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Inventors

Assignee

Application

No. 552810 filed on 11/03/1995

US Classes:

706/45, KNOWLEDGE PROCESSING SYSTEM340/577, Flame340/578, By radiant energy706/20, Classification or recognition706/52, Reasoning under uncertainty (e.g., fuzzy logic)706/900FUZZY LOGIC

Examiners

Primary: Downs, Robert W.
Assistant: Rhodes, Jason W.

Attorney, Agent or Firm

International Class

G06F 017/00

Abstract

A system and method for automatically detecting fires in select areas, and reacting thereto to put out the fires. A stationary, earth orbit satellite, pilotless drone aircrafts or piloted aircraft contains one or more infrared detectors and optical means for detecting small fires when they first occur in fields and wooded areas, preferably where man made campfires and trash dumping are prohibited. A computer in the satellite, drone or piloted aircraft and/or on the ground receives and analyzes image signals of the earth area or areas being monitored and, upon detecting infrared radiation of varying intensity and variable shape, indicative that a fire has started, generates coded signals which are (a) indicative of the coordinate locations of the fire, (b) the extent of the fire, (c) the shape of the area(s) burning, (d) the direction of movement of the fires (e) the speed(s) of the flame fronts, (f) smoke condition, (g) intensity of the fire, (h) fire ball location(s), etc. In one form, a conventional and/or infrared television camera(s) generates image or video signals which are digitized and recorded in memory and/or on tape or disc. Expert system logic, such as fuzzy logic, is used to prioritize dangerous areas to assist in directing fire fighting. Such information, or select portions thereof, is automatically transmitted to one or more earth bound and/or aircraft contained receivers where fire fighting equipment such as helicopter and aircraft containing drainable water or other fire fighting agents is available for immediate dispatch to the fire zone.

Other References

  • Carpenter, G.A. and Grossberg, S., Neural Networks for Vision and Image Processing, MIT Press, Cambridge, Massachusetts, 1992, at pp. 54 & 230
  • Gershon, N. and Miller, C., "Dealing with the Data Deluge", IEEE Spectrum, Jul. 1993 at pp. 28-32
  • Hammerstrom, D., "Working with Neural Networks", IEEE Spectrum, Jul. 1993, at pp. 46-53
  • Hice, C. & Young, D., "Real Time Image Analysis and Visualization From Remote Video For Fire And Resource Management," Advance Imagery, May 1995, at pp. 30-32
  • McNeill, Daniel, Fuzzy Logic, Simon & Shuster, New York (1993) at pp. 268 & 310, ISBN 0-671-73843-7
  • Perry, T., "Modeling the World's Climate", IEEE Spectrum, Jul. 1993, at pp. 33-42
  • Zorpette, G., "Sensing Climate Change", IEEE Spectrum, Jul. 1993, at pp. 20-27
  • Hice, C. & Young, D. "Real Time Image Analysis and Visualization From Remote Video for Fire and Resource Management," Advanced Imagery, pp. 30-32, May 1995
  • McNeill, Daniel. Fuzzy Logic, Simon & Schuster, New York, pp. 268-310, 1993
  • Zorpette, G. "Sensing Climate Change," IEEE Spectrum, pp. 20-27, Jul. 1993
  • Clarke, Bill. Aviator's Guide to GPS, TAB Books, pp. 54 & 230, 1994
  • Smith, James M. "Forest Service collects weather data `where the fires are.`" Government Computer News, vol. 13, No. 3, p. 50, Feb. 7, 199
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