The invention discloses an AI linkage
data system based on
Internet of Things multi-
source data fusion, and relates to the technical field of image recognition, and the
system comprises a collection module which is used for collecting a real-time image of a fire, and selecting a suspected region with the brightness higher than a brightness threshold value in the real-time image; the preprocessing module is used for performing
Gaussian filtering preprocessing on the suspected area; the method comprises the following steps: denoising a suspected region by dynamically adjusting
Gaussian filtering parameters, calculating a brightness change rate of pixels on the inner and outer sides of an edge to obtain a gradient
band width, dividing suspected region sub-blocks, extracting sub-block
texture feature vectors by adopting a local binary pattern
algorithm, and calculating a region overall texture entropy value by combining a region texture
similarity matrix to obtain a region texture
similarity matrix; the difference between the strong reflection light spots and real flames can be accurately recognized, the AI
chip is prevented from misjudging the strong reflection light spots as newly added fire behaviors, then the linkage control module is prevented from mistakenly starting a spraying
system in a non-
fire behavior area, and damage of a large number of materials due to water stains caused by mistaken spraying is reduced.