Internet of things-based smart fishery management system

Abstract

The invention discloses an Internet of things-based smart fishery management system. The system is characterized in that the system includes a water quality monitoring system, a meteorological monitoring system, an intelligent control system, a video monitoring system and a solar power supply device which are arranged in an aquatic farm; and the water quality monitoring system, the weather monitoring system, the intelligent control system, and the video monitoring system are all connected with a routing controller. According to the Internet of things-based smart fishery management system of the invention, a variety of Internet-of-things devices such as the water quality sensor, the meteorological sensor, the controller and the camera are arranged in the farm, the real-time monitoring and display of the environment indexes of a fishing ground and automatic alarm prompting about the environment indexes can be realized.

Description

Technical field [0001] The invention relates to the technical field of the Internet of Things, in particular to a smart 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 food in fishing grounds opened up by humans on the shore. Fish farming is already a very common farming project. Its meat is delicious, nutritious, and has a wide variety of species. The fish farming industry has not been eliminated by many aquaculture industries, but has shown an upward trend in development. With the changes in the natural environment, many precious fishes are on the verge of extinction, such as baby fish, Chinese sturgeon, etc. Artificial farming fishery has not only become a practice to meet market demand, but also the best way to preserve species diversity. Temperature, light intensity, water pH, oxygen content, ammonia nitrogen content, etc. are the...

AI Technical Summary

Problems solved by technology

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

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