Big data controlled fish rapid embrittlement environment control method

Abstract

The invention relates to the technical field of big data control, and particularly discloses a big data controlled fish rapid embrittlement environment control method, which comprises the following steps: intelligently and effectively regulating and controlling a pond water body environment by using a big data monitoring technology, measuring a blood index of a to-be-embrittled fish and an elastic stress value of a corresponding muscular tissue, and calculating to obtain a fish embrittlement index. The embrittlement degree of the to-be-embrittled fish is quantitatively analyzed to serve as a reference index for intelligent regulation and control of the rapid embrittlement environment of the fish; the embrittlement stages in different culture processes are judged according to the embrittlement culture trend curve of the fish embrittlement indexes and the corresponding culture parameters, and the water body environment parameters of the fish are subjected to sectional trend analysis; by monitoring the environmental parameters of each water body in the culture pond in real time, more efficient and accurate intelligent control is realized to achieve rapid embrittlement environmental indexes, and an environmental reference standard is provided for efficient culture and standardized culture of commercial crispy meat fish.

Description

technical field [0001] The invention relates to the technical fields of aquaculture monitoring and big data control, in particular to a big data-controlled fish rapid embrittlement environment control method. Background technique [0002] Crispy fish is a special product of aquaculture water that fish is fed by feeding broad beans, such as crispy carp and crispy tilapia. It has the advantages of delicious meat, soft, smooth and crisp. Its market demand is increasing but the reservoir output is limited. Therefore, in order to vigorously expand the aquatic market of crispy fish, the artificial pond culture technology has been widely studied. Crispy breeding of fish is a gradual process from quantitative change to qualitative change. Factors such as different water temperature, water flow rate, hydrochemical factors and faba bean feed feeding amount will affect the growth and quality of crispy fish. According to the change process of the crispiness of fish, it can be divided i...

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Problems solved by technology

[0003] The traditional fish farming technology adopts artificial regulation method. Due to the lack of adaptability and diversity to different farming environments and different fish feeding rules, it cannot ensure that pond farming is controlled at the best brittle farming conditions, which will lead to pond water pollution. fish disease

In the prior art, the patent publication No. CN113303271A discloses a crispy meat tilapia culture device with intelligent control and management, but it only controls the feeding amount according to the size of the fish body, and lacks a water body that promotes the embrittlement of the fish. An intelligent control method for environmental factors; the patent publication number is CN111248145A, which discloses a fish farming system with high purification efficiency and low farming cost. Action command, but limited to the control of the ammonia nitrogen sensor and water dissolved oxygen sensor on the water purification function, its control degree is greatly limited by the monitoring performance of a single sensor, there are problems of low monitoring accuracy and unscientific regulation, and it has not yet been made public An intelligent farming environment control method based on the change process of fish fragility

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