Dead fish monitoring device and monitoring method applied to aquaculture

Abstract

The invention discloses a dead fish monitoring device and a dead fish monitoring method applied to aquaculture. The device comprises an orbit, a trolley, a PTZ camera and a wireless camera, wherein the PTZ camera is wirelessly connected with the wireless camera and a computer, the computer is connected with an alarm device, an accumulator is installed in the trolley, and a solar cell panel is installed on the top of a support pole which can move up and down and is powered by a cable. Compared with manual monitoring, the monitoring device and the monitoring method provided by the invention can automatically detect dead fishes floating on a water surface, dead fish detection and monitoring efficiencies are improved, and the alarm device connected with the computer can indicate an area where the dead fishes are located when the dead fishes are detected.

Description

technical field [0001] The invention relates to a dead fish monitoring technology for aquaculture, belonging to the field of aquaculture ecology and environmental protection. Background technique [0002] Fish death often occurs in aquaculture. Due to the high density and wide range of modern aquaculture, it is difficult to monitor and deal with dead fish in real time. The microorganisms in the water are cold microorganisms. There are a lot of bacteria in the gills and viscera of the fish, so after the fish dies, they are easily corrupted even in water with low temperature. If the dead fish is not found and removed in time, it will cause a large amount of harmful substances to grow in the dead fish, which will further affect the ecological environment of fish farming in the entire fish pond; in a large-scale farming environment, manual observation of dead fish is difficult and efficient. Low, and manual repetitive labor is likely to lead to an increase in observation errors...

AI Technical Summary

Problems solved by technology

If the dead fish is not found and removed in time, it will cause a large amount of harmful substances to grow in the dead fish, which will further affect the ecological environment of fish farming in the entire fish pond; in a large-scale farming environment, manual observation of dead fish is difficult and efficient. Low, and manual repetitive labor is likely to lead to an increase in observation errors, which is extremely unfavorable for subsequent dead fish salvage

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