Intelligent water quality identification method based on unmanned aerial vehicle inspection

Abstract

The invention discloses an intelligent water quality identification method based on unmanned aerial vehicle inspection, and belongs to the field of water quality identification, and the method comprises the steps: 1) employing an unmanned aerial vehicle to fly according to a preset track, carrying out the aerial photography of a to-be-detected water area, and obtaining video data; 2) preprocessingthe shot video data to obtain a static water surface image; 3) identifying and judging the water surface image, judging the water surface image with floaters and the water surface image without floaters, segmenting the water surface image with floaters, separating the floaters, and classifying all the images into a water body image and a floater image; 4) identifying the pollution condition of the water body image according to the trained water body pollution classification model, and 5) identifying the pollution type of the floating object image according to the trained floating object pollution classification model.

Description

technical field [0001] The invention relates to the field of water quality identification, in particular to an intelligent water quality identification method based on drone inspection. Background technique [0002] The protection of water environment is very important to economic and social development. The traditional water quality detection method is mainly to set sampling points in fixed-point and fixed-profile waters, take water samples to analyze components, or set up underwater cameras to collect water color and turbidity for analysis. There are also some water quality identification methods that use intelligent vision, but these methods A large number of monitoring points need to be deployed, which is not only time-consuming, labor-intensive and costly, but also the monitorable area is greatly limited. Now using UAV cruise equipment to shoot live water surface at low altitude above the water surface, and process and identify the image information, it can realize reg...

AI Technical Summary

Problems solved by technology

[0004] The above technologies often require specific devices, which limits the scope of use

For example, when the water quality in some remote areas is abnormal, it is often impossible to detect and prevent it in time; the chemical detection method also has the disadvantages of unstable chemical reagent concentration, which is likely to cause secondary pollution; and the monitoring and recording equipment of intelligent image technology needs to be monitored in advance. Installation, and the monitoring area is limited

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