Intelligent fishery management system based on Internet of things

Abstract

The invention relates to the technical field of smart fishery, in particular to a smart fishery management system based on the Internet of things, comprising: a culture pond water quality monitoring module used for monitoring the water quality in a culture pond; an abnormal behavior monitoring module used for monitoring abnormal behaviors of fish schools in the culture pond and pedestrians aroundthe culture pond; a meteorological monitoring module used for monitoring abnormal meteorological parameters around the culture pond; and a feed management module used for managing the culture feed based on the basic information, the growth state information, the water quality state information and the abnormal behavior monitoring result of the fish schools. According to the invention, omnibearingmonitoring and management of culture pond water quality, fish growth conditions, culture pond abnormal conditions, culture feed and the like are realized, so that various environmental conditions canbe quickly dealt with, disaster risks are reduced, and manpower is effectively saved.

Description

technical field [0001] The invention relates to the technical field of intelligent fishery, in particular to an intelligent fishery management system based on the Internet of Things. Background technique [0002] Temperature, illuminance, water PH value, oxygen content, ammonia nitrogen content, etc. are the most critical factors affecting the growth of farmed fish. In traditional farming, most of them rely on a lot of manpower for monitoring and control, which has great limitations and not only wastes manpower. , increase the cost, and once there is an abnormality in the growth environment of the fish, it is difficult to detect and respond in time, which is easy to cause the death of the fish, thereby causing huge losses. Contents of the invention [0003] In order to solve the above technical problems, the present invention provides a smart fishery management system based on the Internet of Things, which realizes all-round monitoring and management of water quality in aq...

AI Technical Summary

Problems solved by technology

[0002] Temperature, illuminance, water PH value, oxygen content, ammonia nitrogen content, etc. are the most critical factors affecting the growth of farmed fish. In traditional farming, most of them rely on a lot of manpower for monitoring and control, which has great limitations and not only wastes manpower. , increase the cost, and once the growth environment of the fish is abnormal, it is difficult to detect and respond in time, which will easily cause the death of the fish and bring huge losses

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