A trend-duration and gradient detector for automatic fire detection

✍ Scribed by Shu Wang

• Publisher: Elsevier Science
• Year: 1996
• Tongue: English
• Weight: 359 KB
• Volume: 27
• Category: Article
• ISSN: 0379-7112
• DOI: 10.1016/s0379-7112(96)00035-5

✦ Synopsis

Fire signals from sensors have a trend-duration characteristic, but such disturbance trends last only a short time. Step-shaped signals from fire sensors do not have a large trend value, although they may indicate a rapidly growing fire. Conventional trend algorithms cannot recognize the signal gradient, In this paper, a trend-duration and trend-gradient detector is proposed for automatic fire detection. The detector can distinguish fire signals from noise using a trend-duration algorithm. The fire smoke density (if smoke sensors are used) can be determined with the gradient algorithm. In order to indicate the level ~f the smoke density, fuzzy logic is applied to the gradient determination. (~ 1997 Elsevier Science Ltd. All rights reserved.