Biologic water quality monitoring system for perceiving fish behaviors based on vision

Abstract

The invention relates to a biologic water quality monitoring system for perceiving fish behaviors based on vision, comprising a transparent aquarium for containing fishes, cameras for monitoring fish behaviors, video capture cards and a water quality monitoring center, wherein the aquarium is positioned in the visual ranges of the cameras; all cameras are in data communication link with the waterquality monitoring center by the video capture cards; and the water quality monitoring center comprises an image capture module, an image processing module, a target tracking module and a fish behavior data analysis module. The fish behavior data analysis module comprises a data modeling part and a data matching part, obtains data of image frame sequence of a water area to be analyzed and substitutes the data into model formals (6) and (7) for matching. If the difference between a present calculated value and a normal action value is in the range of a default threshold, the fact represents that the fish behaviors are normal and judges that water quality conditions are good. If the difference is beyond the range of the default threshold, the fact judges that the water is polluted. The biologic water quality monitoring system reduces cost, is suitable for large-scale application and has good practicality.

Description

technical field [0001] The invention relates to the technical fields of image processing, pattern recognition, computer vision and calculation methods, in particular to a biological water quality monitoring system. Background technique [0002] With the development of industrial and agricultural production, more and more exogenous pollutants are directly discharged, converted, and migrated into the water environment, which intensifies water pollution in my country and significantly reduces water quality, which has directly affected domestic drinking water and urban centralized water supply. Safety, especially the occurrence of some sudden water pollution accidents, poses a serious threat to the health and ecological safety of the people. At the same time, water environment security has become one of the important restrictive factors for the sustainable development of our country's society and economy. [0003] Traditional water quality monitoring methods mainly rely on conve...

AI Technical Summary

Problems solved by technology

[0006] In order to overcome the shortcomings of the existing biological water quality monitoring system, such as high cost, unsuitable for large-scale implementation, and poor real-time performance, the present inventi

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