Forest fire intelligent identification system and method based on multi-data fusion

Abstract

The invention discloses a multi-data fusion forest fire intelligent recognition system. The system includes a thermal infrared imager, a digital camera, an ultrasonic meteorological station, a geographic information system and an upper computer, wherein the thermal infrared imager, the digital camera, the ultrasonic meteorological station and the geographic information system are connected with the upper computer; and the upper computer is provided with an artificial neural network and a fuzzy expert system, the artificial neural system analyzes infrared images collected by the thermal infrared imager and visible light images collected by the digital camera and transmits analyzed data to the fuzzy expert system for calculation of the probability of a forest fire, the ultrasonic meteorological station provides meteorological data of a forest, and the geographic information system provides geographic information. The invention provides a multi-data fusion forest fire intelligent recognition system and method, and the method fuses various data to make forest fire predictions, and can remarkably reduce a false recognition rate of forest fires, improve operating efficiency of the system, and reduce labor intensity of workers.

Description

technical field [0001] The invention relates to a forest fire intelligent identification system and method based on multi-data fusion. Background technique [0002] At present, forest fire early warning systems based on video analysis mainly use images collected by visible light cameras and infrared thermal imaging cameras. When a forest fire occurs, flames and smoke are produced, and a large amount of energy is released at the same time. Early monitoring and early warning of forest fires can be realized by analyzing the color, shape, motion and frequency characteristics of the fire area on the visible light image, and the brightness characteristics of the fire area on the infrared image. However, engineering practice shows that the misrecognition rate of the forest fire early warning system is too high by only using the image data in the visible light or infrared band. Contents of the invention [0003] The purpose of the present invention is to overcome the deficiencie...

AI Technical Summary

Problems solved by technology

However, engineering practice shows that the misrecognition rate of the forest fire early warning system is too high by only using image data in the visible light or infrared bands.

Images