Machine vision based forest fire preventive early warning system and method thereof

Abstract

The invention discloses a machine vision based forest fire preventive early warning system and a method thereof. The system comprises a collection end and a monitoring platform composed of a movementtarget foreground detection module, a flame feature extraction module, a flame tracking and identification module and an alarm module, can monitor a fire hazard uninterruptedly in 24 hours, can identify occurrence of the fire hazard and track flame accurately, and emits a fire hazard early warning signal by the monitoring platform so that relates work staff can take measures accurately, and the system is high in practicality. A Gaussian mixture background model is sued when video images are detected to identify whether there are moving objects in the video images, a modeling algorithm is complete, targets can be extracted from videos effectively, the fire hazard identification rate can reach more than 92%, and the fire hazard identification accuracy can be improved substantially.

Description

technical field [0001] The invention relates to a fire prevention early warning system, in particular to a machine vision based forest fire prevention early warning system and its method. Background technique [0002] Since the occurrence of fire has brought huge losses to people's lives and property, the early warning work before the fire is particularly important. At present, most of the fire early warning systems used in our country use ground patrol forest fire prevention, watchtower monitoring, aviation patrol and other monitoring methods to complete the fire early warning work. However, the three methods mentioned above cannot realize 24-hour real-time monitoring. In areas with large forests, especially in dry seasons, if the disaster cannot be detected in time at the initial stage of the disaster and corresponding fire extinguishing measures are taken, it will lead to the destruction of the fire. Rapid spread, causing irreversible losses. [0003] In order to overco...

AI Technical Summary

Problems solved by technology

The intelligent fire search or fire identification server used by it is visible light pyrotechnic identification and infrared flame identification. Although it can monitor uninterrupted around the clock, how to identify fires and how accurate the identification is is not disclosed in detail, especially The collected pictures cannot be accurately processed, and the flames cannot be tracked, resulting in the inability to make real-time online judgments on the disaster situation

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