Intelligent fishery management system based on internet of things

Abstract

The invention discloses an intelligent fishery management system based on the Internet of Things, which belongs to the technical field of the Internet of Things and is used to solve the problems of high cost, low efficiency and large limitations of traditional fishery management. The invention includes a water quality monitoring system, a meteorological monitoring system, an intelligent control system, a video monitoring system, and a solar power supply device for providing electric energy. The controller is connected, and the routing controller is bidirectionally connected with the cloud processing center through the wireless network, and the cloud processing center is also bidirectionally connected with the remote monitoring center and the mobile monitoring terminal through the network. The invention utilizes the Internet of Things technology to realize real-time monitoring of the environmental index of the farm, and at the same time realizes remote and automatic control of facilities and equipment such as water change, oxygen increase, and temperature reduction of the farm, thereby reducing labor costs, realizing precise regulation, and effectively avoiding production risks.

Description

technical field [0001] The invention relates to the technical field of the Internet of Things, in particular to an intelligent fishery management system based on the Internet of Things. Background technique [0002] Aquaculture fishery, also known as aquaculture, refers to the cultivation of fish or various seafood for consumption in artificially opened fish farms on the shore. Fish farming is already a very common farming project. Its meat is delicious, nutritious, and various in variety. Not only has the fish farming industry not been eliminated by many aquaculture industries, it has shown a trend of development and growth. With the change of the natural environment, many rare fish species are on the verge of extinction, such as salamanders and Chinese sturgeons. Artificial fish farming has not only become a way to meet market demand, but also the best way to preserve species diversity. [0003] Temperature, illuminance, PH value of water, oxygen content, ammonia nitrogen...

AI Technical Summary

Problems solved by technology

[0003] Temperature, illuminance, PH value of water, oxygen content, ammonia nitrogen content, etc. are the most critical factors affecting the growth of fish. The higher the water temperature is within the appropriate range, the greater the food intake of fish, the shorter the hatching time, and the faster the growth. If the water temperature is too low, the fish will grow slowly; if the water temperature is too high, the fish will die easily; the length and intensity of light determine the reproduction cycle and production quality of fish; if the pH value is too low, the water body will be acidic, which will cause fish Gill lesions, lower oxygen utilization rate, resulting in fish disease or a large number of bacteria in the water; the content of dissolved oxygen is related to fish appetite, feed utilization rate, fish growth and development speed, etc.; ammonia nitrogen in fish ponds comes from bait , aquatic animal excrement, fertilizer and animal carcass decomposition, etc., the ammonia nitrogen content is too high, which will affect the growth of fish, and if it is too high, it will cause fish poisoning and death, which will bring great losses to production

[0004] In traditional farming, relying on a large amount of manpower for monitoring and control, especially relying mainly on experienced personnel for management, has great limitations. It not only wastes manpower and increases costs, but once the growth environment of fish is abnormal, the traditional method It is difficult to detect and respond in time, which can easily cause the death of fish and bring huge losses

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