Penaeus vannamei greenhouse circulating water mode pond opening

Abstract

The invention relates to a penaeus vannamei greenhouse circulating water mode pond opening which comprises a greenhouse building, a circulating water treatment system, an intelligent oxygenation system, a precise feeding system and an intelligent management and control platform. The circulating water treatment system purifies tail water through a microfilter and a biochemical pool and recycles the tail water; the intelligent oxygenation system adopts a nano aeration disc which is controlled in a subarea manner, and has a daily mode and a feeding mode; the precise feeding system realizes on-demand feeding based on machine vision and an AI algorithm; the intelligent management and control platform integrates all subsystems, and automatic closed-loop management under data driving is achieved. According to the invention, high-density, full-year, intelligent and unmanned prawn culture is realized, the yield and the survival rate are effectively improved, and the feed consumption, the labor cost and the influence on the environment are reduced.

Description

Technical Field

[0001] This invention relates to the field of aquaculture engineering technology, and in particular to a greenhouse recirculating aquaculture system for Litopenaeus vannamei, especially to an intensive, intelligent, and high-density facility system for raising Litopenaeus vannamei, specifically a greenhouse recirculating aquaculture system for Litopenaeus vannamei integrating recirculating water treatment, intelligent aeration, precise feeding, and automated management. Background Technology

[0002] Litopenaeus vannamei is an important aquaculture species in my country. However, traditional earthen pond aquaculture generally suffers from problems such as large land area requirements, high water consumption, significant susceptibility to natural environmental changes, frequent disease outbreaks, severe wastewater pollution, and over-reliance on manual experience. This is particularly true in regions like Shanghai, where the level of facility-based aquaculture is low, making it difficult to achieve stable, high yields and environmentally friendly practices.

[0003] While factory-scale recirculating aquaculture systems represent the future, many existing systems suffer from high energy consumption, poor coordination among subsystems (water quality control, feeding, and aeration), and insufficient intelligence, failing to fully realize the potential of recirculating aquaculture. Fluctuations in water quality during the aquaculture process (especially excessive ammonia nitrogen and nitrite levels), feed waste, and poor dissolved oxygen management remain key bottlenecks restricting yield and efficiency improvements.

[0004] Therefore, developing a highly efficient shrimp farming system that can achieve all-weather environmental control, water resource recycling, precise feeding, and unmanned management meets the urgent needs of industrial upgrading. Summary of the Invention

[0005] To address the shortcomings of existing technologies, the purpose of this invention is to provide a greenhouse recirculating aquaculture system for Litopenaeus vannamei. This system deeply integrates greenhouse environmental control, efficient recirculating water treatment, zoned intelligent aeration, machine vision-based precise feeding, and a unified intelligent management platform. It aims to solve problems such as unstable water quality, low feed utilization, high energy consumption, high labor intensity, and environmental pollution in traditional aquaculture models, ultimately achieving high-density, high-efficiency, year-round, unmanned, green, and healthy aquaculture of Litopenaeus vannamei.

[0006] The above-mentioned objective of this invention is achieved through the following technical solutions:

[0007] A type of recirculating aquaculture system pond for Litopenaeus vannamei includes:

[0008] Greenhouse structures are built on aquaculture sites to provide a controlled indoor environment for shrimp farming;

[0009] A circulating water treatment system, installed within the greenhouse structure, includes at least one aquaculture unit, one water treatment unit, and connecting pipelines; the aquaculture unit is used to house and culture Pacific white shrimp; the water treatment unit is used to receive and treat the wastewater from the aquaculture unit and return the purified water to the aquaculture unit; the water treatment unit includes at least a microfilter and a biological tank arranged in series, the biological tank being filled with biological packing material containing nitrifying and denitrifying bacteria;

[0010] An intelligent aeration system supplies oxygen to the aquaculture unit, comprising distributed nano-aeration discs, air pumps, and a dual-mode controller; the nano-aeration discs are partitioned into feeding and non-feeding zones at the bottom of the aquaculture pond; the dual-mode controller is configured to control the air pumps and aeration discs to switch between two modes: daily aeration mode, aerating the entire pond to maintain a baseline dissolved oxygen level; and feeding aeration mode, shutting off the aeration discs in the feeding zone while maintaining or enhancing aeration in the non-feeding zone.

[0011] A precision feeding system for dispensing feed to the aquaculture unit includes a feed hopper, a visual analysis unit, a feeding decision unit, and a feed delivery actuator. The visual analysis unit includes an underwater camera for collecting image information of shrimp and uneaten feed. The feeding decision unit analyzes the image information, shrimp growth stage, and water temperature based on machine learning algorithms to calculate the feeding amount instruction. The feed delivery actuator delivers the feed quantitatively from the feed hopper and sprinkles it into the aquaculture unit according to the feeding amount instruction.

[0012] The intelligent management and control platform is connected to the circulating water treatment system, intelligent oxygenation system, and precision feeding system. It is used to centrally monitor the operating parameters of each system, receive sensor data, and send control commands to each system according to preset strategies to realize the automated operation of the entire pond.

[0013] As a further technical solution of the present invention: the water treatment unit of the circulating water treatment system achieves a daily water exchange rate of not less than 2 times, and the total nitrogen and total phosphorus contents in the treated effluent are not higher than 0.05 ppm.

[0014] As a further technical solution of the present invention, it also includes an intelligent water quality control system; the intelligent water quality control system includes:

[0015] Distributed sensor arrays are deployed in aquaculture and water treatment units to monitor water temperature, pH value, dissolved oxygen, conductivity and redox potential in real time.

[0016] An automatic microecological preparation dosing unit, including a storage tank and a dosing pump, is used to automatically add Bacillus, lactic acid bacteria or photosynthetic bacteria preparations to the breeding unit;

[0017] The intelligent management and control platform receives data from the distributed sensor group and controls the operation of the microecological preparation automatic dosing unit.

[0018] As a further technical solution of the present invention: the intelligent control platform has a built-in dissolved oxygen prediction model. The dissolved oxygen prediction model adopts the LSTM neural network algorithm, integrates the historical and real-time data of the distributed sensor group to predict the trend of dissolved oxygen change in the future period, and controls the intelligent oxygenation system and / or the automatic dosing unit of the microecological preparation in advance.

[0019] As a further technical solution of the present invention: the machine learning algorithm used by the feeding decision unit is the random forest algorithm, and the input features of its feeding amount prediction model include the estimated shrimp body length, estimated shrimp quantity, estimated amount of uneaten feed, current water temperature, and current shrimp growth stage identified by the visual analysis unit.

[0020] As a further technical solution of the present invention: the feeding amount prediction model also introduces the shrimp growth rate as a feature factor to dynamically adjust the feeding amount at different growth stages.

[0021] As a further technical solution of the present invention: the feed conveying actuator is an auger conveyor, and its feeding accuracy error is controlled within ±5 grams.

[0022] As a further technical solution of the present invention: the intelligent management and control platform supports the MODBUS-RTU / 485 industrial bus protocol, which is used to access and control water pumps, sensors, feeders and aerators from different manufacturers.

[0023] As a further technical solution of the present invention: the number of aquaculture units is multiple, which are arranged in parallel and share the water treatment unit and the intelligent control platform.

[0024] As a further technical solution of the present invention: the greenhouse building is covered with heat-insulating and light-transmitting materials, and the internal temperature is controllable.

[0025] In summary, compared with the prior art, the present invention has at least one of the following beneficial technical effects:

[0026] 1. Significantly improved breeding efficiency and density: Combining greenhouse environment and recirculating water technology, multiple harvests can be achieved throughout the year. High-density breeding (up to 3 catties / m²) is possible. 3 Precise management and other methods have increased the survival rate to 75-80%, and the yield per unit area is significantly higher than that of the traditional method.

[0027] 2. Resource conservation and environmental friendliness: The circulating water system significantly reduces water consumption and heat loss. After efficient treatment, the pollutant content of the effluent is extremely low (nitrogen and phosphorus ≤0.05ppm), reducing the number of discharges per year by more than 70%, thus achieving green and environmentally friendly aquaculture.

[0028] 3. Precise and controllable, reducing waste: AI-based precision feeding reduces feed waste by more than 20%, lowering the feed conversion ratio. Zoned aeration mode saves energy while ensuring dissolved oxygen levels.

[0029] 4. Intelligent and unmanned operation: The highly integrated intelligent management and control platform enables all-weather automatic operation, which greatly reduces the reliance on human experience and labor intensity, reduces labor costs by more than 90%, and improves production controllability and stability.

[0030] 5. Significantly reduced disease risk: A stable water environment, efficient waste treatment, and precise application of microecological agents jointly create a healthy aquaculture ecosystem, effectively inhibiting the occurrence of diseases. Attached Figure Description

[0031] Figure 1 This is a schematic diagram of the overall structure of the present invention.

[0032] Figure 2 This is a schematic diagram of the structure of two of the breeding units of the present invention.

[0033] Figure 3 This is a structural block diagram of the intelligent control platform of the present invention.

[0034] Attached reference numerals: 1. Greenhouse building; 2. Aquaculture unit; 3. Water treatment unit; 301. Microfilter; 302. Biological tank; 4. Intelligent oxygenation system; 401. Nano-aeration disc; 402. Air pump; 403. Dual-mode controller; 5. Precision feeding system; 501. Underwater camera; 502. Visual analysis unit; 503. Feeding decision unit; 504. Feed hopper; 505. Screw conveyor; 6. Intelligent control platform; 7. Intelligent water quality control system; 701. Distributed sensor array; 702. Microecological preparation dosing unit; 8. Circulating water pump; 9. Pipeline. Detailed Implementation

[0035] The technical solutions in the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative effort are within the scope of protection of this application.

[0036] In the description of this application, it should be noted that the terms "upper," "lower," "inner," "outer," "top / bottom," etc., indicating the orientation or positional relationship are based on the orientation or positional relationship shown in the accompanying drawings, and are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of this application. Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0037] In the description of this application, it should be noted that, unless otherwise expressly specified and limited, the terms "installed," "equipped with," "sleeved / connected," "connected," etc., should be interpreted broadly. For example, "connection" can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium; it can be a connection within two components. Those skilled in the art can understand the specific meaning of the above terms in this application based on the specific circumstances.

[0038] Example 1:

[0039] Reference Figures 1-3 The present invention discloses a recirculating aquaculture system pond for Litopenaeus vannamei, comprising:

[0040] Greenhouse building 1, constructed on the aquaculture site, provides a controllable indoor environment for shrimp farming;

[0041] A circulating water treatment system is installed inside a greenhouse building 1, including at least one aquaculture unit 2, a water treatment unit 3, and connecting pipes 9; the aquaculture unit 2 is used to house and raise Pacific white shrimp; the water treatment unit 3 is used to receive and treat the wastewater from the aquaculture unit 2 and return the purified water to the aquaculture unit 2; the water treatment unit 3 includes at least a microfilter 301 and a biological tank 302 arranged in series, and the biological tank 302 is filled with biological packing material with attached nitrifying bacteria and denitrifying bacteria;

[0042] The intelligent aeration system 4 supplies oxygen to the aquaculture unit 2 and includes distributed nano-aeration discs 401, air pumps 402, and a dual-mode controller 403. The nano-aeration discs 401 are divided into feeding and non-feeding areas at the bottom of the aquaculture pond. The dual-mode controller 403 is configured to control the air pumps 402 and aeration discs to switch between two modes: daily aeration mode, which aerates the entire pond to maintain the basic dissolved oxygen level; and feeding aeration mode, which shuts off the aeration discs in the feeding area while maintaining or enhancing aeration in the non-feeding area.

[0043] The precision feeding system 5 is used to feed the aquaculture unit 2. It includes a feed bin 504, a visual analysis unit 502, a feeding decision unit 503, and a feed delivery actuator. The visual analysis unit 502 includes an underwater camera 501, which is used to collect image information of shrimp and uneaten feed. The feeding decision unit 503 analyzes the image information, shrimp growth stage, and water temperature based on machine learning algorithms to calculate the feeding amount instruction. The feed delivery actuator delivers the feed quantitatively from the feed bin 504 and sprinkles it into the aquaculture unit 2 according to the feeding amount instruction.

[0044] The intelligent control platform 6 is connected to the circulating water treatment system, intelligent oxygenation system 4, and precision feeding system 5. It is used to centrally monitor the operating parameters of each system, receive sensor data, and send control commands to each system according to preset strategies to realize the automated operation of the entire pond.

[0045] The water treatment unit 3 of the circulating water treatment system achieves a daily water exchange rate of not less than 2 times, and the total nitrogen and total phosphorus content in the treated effluent is not higher than 0.05 ppm.

[0046] It also includes an intelligent water quality control system 7; the intelligent water quality control system 7 includes: a distributed sensor group 701, which is deployed in the aquaculture unit 2 and the water treatment unit 3, for real-time monitoring of water temperature, pH value, dissolved oxygen, conductivity and redox potential; an automatic microecological preparation dosing unit, including a storage tank and a dosing pump, for automatically adding Bacillus, lactic acid bacteria or photosynthetic bacteria preparations to the aquaculture unit 2; and an intelligent control platform 6 that receives data from the distributed sensor group 701 and controls the operation of the automatic microecological preparation dosing unit.

[0047] The intelligent control platform 6 has a built-in dissolved oxygen prediction model. The dissolved oxygen prediction model uses the LSTM neural network algorithm to integrate historical and real-time data from the distributed sensor group 701 to predict the trend of dissolved oxygen changes in the future period, and controls the intelligent oxygenation system 4 and / or the automatic dosing unit of the microecological preparation in advance.

[0048] The feeding decision unit 503 uses the random forest algorithm as its machine learning algorithm. The input features of its feeding amount prediction model include the estimated shrimp body length, estimated shrimp number, estimated amount of uneaten feed, current water temperature, and current shrimp growth stage identified by the visual analysis unit 502.

[0049] The feeding prediction model also incorporates shrimp growth rate as a characteristic factor to dynamically adjust the feeding amount at different growth stages. The feed delivery actuator is an auger conveyor 505, with a feeding accuracy error controlled within ±5 grams. The intelligent control platform 6 supports the MODBUS-RTU / 485 industrial bus protocol for connecting and controlling water pumps, sensors, feeders, and aerators from different manufacturers. Multiple aquaculture units 2 are connected in parallel, sharing the water treatment unit 3 and the intelligent control platform 6. The greenhouse structure 1 is covered with heat-insulating and light-transmitting materials, allowing for controllable internal temperature.

[0050] The core of this invention lies in constructing a highly integrated and intelligent closed-loop aquaculture ecosystem. This system mainly consists of five modules:

[0051] Greenhouse Building 1: A closed building constructed with heat-insulating and light-transmitting materials, creating a stable growth environment for shrimp that is not affected by harsh external weather, and allowing for temperature control.

[0052] Circulating water treatment system: This is the core of the system's water environment protection. It includes multiple parallel aquaculture ponds (aquaculture unit 2) and a centralized water treatment unit 3. Water treatment unit 3 typically adopts a process route of "microfilter 301 + biological treatment tank 302". Microfilter 301 is responsible for physical filtration, removing suspended solids; biological treatment tank 302 is filled with high-efficiency biological packing material, enriching nitrifying and denitrifying bacteria, which degrade toxic substances such as ammonia nitrogen and nitrite in the water through biological action. The treated clean water is pumped back to the aquaculture ponds, realizing water recycling and high-frequency exchange (≥2 times / day), significantly reducing water exchange volume and effluent discharge.

[0053] Intelligent Aeration System 4: Employs nano-aeration discs 401 for bottom aeration, resulting in high oxygen utilization. Its innovation lies in "zonal control" and "dual modes." Based on the feeding habits of shrimp in the pond, the bottom is divided into feeding and non-feeding zones, with independent aeration control for each zone. In daily maintenance mode, the entire pond is aerated. During feeding, the system switches to feeding mode, shutting off aeration in the feeding zones to prevent airflow and bubbles from disturbing the shrimp and scattering feed, while maintaining strong aeration in the non-feeding zones. This ensures overall dissolved oxygen supply and significantly improves feeding rates.

[0054] Precision Feeding System 5: Achieves precise feeding based on machine vision and artificial intelligence algorithms. The system uses an underwater camera 501 to capture real-time data on shrimp distribution, size, quantity, and uneaten feed. Image data is processed using target detection algorithms such as YOLOv5 to extract key features. The feeding decision unit 503 employs machine learning algorithms such as random forests, comprehensively considering multiple factors including shrimp growth stage, water temperature, and real-time feeding status to dynamically calculate the optimal feeding amount. Feeding is then executed via a precision conveying mechanism such as an auger, significantly reducing feed waste.

[0055] Intelligent Management and Control Platform 6: Serving as the system's "brain," this platform integrates IoT, big data, and automatic control technologies. It connects to and coordinates the control of all devices via industrial bus protocols (such as MODBUS). It collects real-time water quality data (pH, DO, temperature, etc.) from various sensors, runs built-in AI models (such as LSTM to predict dissolved oxygen changes), and automatically issues commands to control operations such as aeration, feeding, water circulation, and bacterial agent dosing, achieving fully automated closed-loop management. It also provides remote monitoring and intervention interfaces.

[0056] Reference Figure 1 In this embodiment, the Litopenaeus vannamei greenhouse recirculating aquaculture system pond implemented 12 standard culture units 2 (each pond with a volume of approximately 700 m³) within a large greenhouse building 1. 3 ) and a central water treatment unit 3, and aquaculture unit 2 is an aquaculture pond.

[0057] Recirculating water treatment system: Water from the aquaculture ponds is collected through pipes via bottom drains. It first passes through a microfilter 301 to remove solid particles such as feces and uneaten feed, then enters the biological treatment tank 302. The biological treatment tank 302 is filled with biological packing material, cultivating a large number of nitrifying and denitrifying bacteria, effectively degrading ammonia nitrogen and nitrite. The purified water is pumped back to the aquaculture ponds by a circulating water pump 8, achieving more than two water exchanges per day.

[0058] Reference Figure 2 Intelligent aeration system 4: Nano-aeration discs 401 are arranged at the bottom of each aquaculture pond, along the perimeter of the pond walls (non-feeding area) and in the center of the pond (feeding area). These aeration discs are supplied with air by air pumps 402 and controlled by a dual-mode controller 403. The default mode is daily aeration, with aeration throughout the pond, maintaining DO > 5 mg / L. When the intelligent control platform 6 issues a feeding command, the dual-mode controller 403 automatically shuts down the aeration discs in the feeding area while maintaining high-intensity operation of the aeration discs in the non-feeding area to create a quiet feeding environment.

[0059] Reference Figure 3 Precision Feeding System 5: Each pond is equipped with an underwater high-definition camera to capture real-time images of the pond bottom. The images are transmitted to the visual analysis unit 502 (using the YOLOv5 algorithm) to identify the number of shrimp, average body length, and amount of uneaten feed. This data, along with water temperature and growth stage data, is sent to the feeding decision unit 503 (based on a random forest algorithm model) to calculate the optimal feeding amount. After the command is issued, the auger conveyor 505 precisely removes the corresponding weight of feed from the feed hopper 504 and delivers it to the spreading tray for even feeding.

[0060] The intelligent water quality control system 7 and intelligent management platform 6 utilize a distributed sensor group 701 (including pH, DO, temperature, and ORP sensors) to continuously monitor water quality. Data is uploaded to the intelligent management platform 6. The platform's built-in LSTM model predicts dissolved oxygen trends for the next hour. If a decline is predicted, oxygenation is enhanced or Bacillus subtilis is added in advance (via the microecological preparation addition unit 702). The platform integrates and controls all devices via the MODBUS protocol, achieving full automation from water quality monitoring to AI decision-making to device execution. Administrators can remotely monitor system status and receive alerts via a web page.

[0061] Through the coordinated operation of the above modules, this system has successfully achieved high-density, intelligent, and unmanned farming of Litopenaeus vannamei, significantly improving yield and quality while greatly reducing environmental impact and operating costs.

[0062] The implementation principle of this invention is as follows: This invention discloses a recirculating aquaculture system for Litopenaeus vannamei shrimp, comprising a greenhouse structure 1, a recirculating aquaculture system, an intelligent aeration system 4, a precision feeding system 5, and an intelligent management and control platform 6. The recirculating aquaculture system purifies and recycles wastewater through a microfilter 301 and a biological treatment tank 302; the intelligent aeration system 4 employs zone-controlled nano-aeration discs 401, providing both daily and feeding modes; the precision feeding system 5 utilizes machine vision and AI algorithms to achieve on-demand feeding; and the intelligent management and control platform 6 integrates all subsystems to achieve data-driven automated closed-loop management. This invention achieves high-density, year-round, intelligent, and unmanned shrimp farming, effectively improving yield and survival rate while reducing feed consumption, labor costs, and environmental impact.

[0063] The embodiments described herein are preferred embodiments of the present invention and are not intended to limit the scope of protection of the present invention. Therefore, all equivalent changes made in accordance with the structure, shape, and principle of the present invention should be covered within the scope of protection of the present invention.

Claims

1. A model pond mouth of a warm shed circulating water of Penaeus vannamei, characterized in that, The application relates to a shrimp culture system, which comprises the following components: a greenhouse (1) built on a culture site to provide a controllable indoor environment for shrimp culture; a circulating water treatment system arranged in the greenhouse (1) and comprising at least one culture unit (2), a water treatment unit (3) and connecting pipelines (9); the culture unit (2) is used for accommodating and culturing white shrimp; the water treatment unit (3) is used for receiving and treating tail water from the culture unit (2) and returning purified water to the culture unit (2); the water treatment unit (3) at least comprises a microfilter (301) and a biochemical tank (302) arranged in series, and the biochemical tank (302) is filled with biological fillers on which nitrifying bacteria and denitrifying bacteria are attached; an intelligent oxygenation system (4) for supplying oxygen to the culture unit (2) and comprising distributed nano aerators (401), air pumps (402) and a dual-mode controller (403); the nano aerators (401) are arranged in zones in the feeding area and the non-feeding area at the bottom of the culture pond; the dual-mode controller (403) is configured to control the air pumps (402) and the aerators to switch between two modes: a daily oxygenation mode in which the whole pond is aerated to maintain a basic level of dissolved oxygen; and a feeding oxygenation mode in which the aerators in the feeding area are closed while the aerators in the non-feeding area are maintained or intensified. An accurate feeding system (5) for feeding the culture unit (2) and comprising a feed bin (504), a visual analysis unit (502), a feeding decision unit (503) and a feed conveying execution mechanism; the visual analysis unit (502) comprises an underwater camera (501) for collecting image information of shrimps and residual feed; the feeding decision unit (503) analyzes the image information, the growth stage of shrimps and water temperature based on a machine learning algorithm to calculate a feeding amount instruction; and the feed conveying execution mechanism quantitatively conveys and scatters feed from the feed bin (504) into the culture unit (2) according to the feeding amount instruction. An intelligent management and control platform (6) which is communicatively connected with the circulating water treatment system, the intelligent oxygenation system (4) and the accurate feeding system (5) and is used for centrally monitoring running parameters of the systems, receiving sensor data and sending control instructions to the systems according to preset strategies to realize automatic operation of the whole pond. The water treatment unit (3) of the circulating water treatment system realizes a daily water exchange rate of not less than 2 times, and the total nitrogen and total phosphorus contents in the treated tail water are both not higher than 0.05 ppm. The application further comprises an intelligent water quality regulation system (7) which comprises the following components: a distributed sensor group (701) arranged in the culture unit (2) and the water treatment unit (3) and used for monitoring water temperature, pH value, dissolved oxygen, conductivity and oxidation-reduction potential in real time; an automatic micro-ecological preparation adding unit comprising a liquid storage tank and an adding pump and used for automatically adding bacillus, lactic acid bacteria or photosynthetic bacteria preparation into the culture unit (2); and the intelligent management and control platform (6) receives data of the distributed sensor group (701) and controls the working of the automatic micro-ecological preparation adding unit. ​ 2. The Penaeus vannamei warmhouse circulating water model pond mouth according to claim 1, characterized in that, ​ 3. The Penaeus vannamei warmhouse circulating water model pond mouth according to claim 1, characterized in that, ​ ​ ​ ​ 4. The Penaeus vannamei warmhouse circulating water model pond mouth according to claim 3, characterized in that, The intelligent management and control platform (6) is built-in with a dissolved oxygen prediction model, which adopts an LSTM neural network algorithm, fuses historical and real-time data of the distributed sensor group (701) to predict the dissolved oxygen change trend in a future period of time, and accordingly controls the intelligent oxygen increasing system (4) and / or the micro-ecological preparation automatic dosing unit to act in advance.

5. The Penaeus vannamei warm house circulating water model pond according to claim 1, wherein, The machine learning algorithm adopted by the feeding decision unit (503) is a random forest algorithm, and the input features of the feeding amount prediction model thereof include the shrimp body length estimation value, the shrimp number estimation value, the residual feed amount estimation value, the current water temperature and the current shrimp growth stage identified by the visual analysis unit (502).

6. The Penaeus vannamei warmhouse circulating water model pond mouth according to claim 1, characterized in that, The feeding amount prediction model also introduces the shrimp growth rate as a characteristic factor for dynamically adjusting the feeding amount in different growth stages.

7. The Penaeus vannamei warm house circulating water model pond according to claim 1, wherein, The feed conveying execution mechanism is an auger conveyor (505), and the feeding accuracy error is controlled within ±5 grams.

8. The Penaeus vannamei warm house circulating water model pond according to claim 1, wherein, The intelligent management and control platform (6) supports the MODBUS-RTU / 485 industrial bus protocol for accessing and controlling water pumps, sensors, feeders and oxygenators of different manufacturers.

9. The Penaeus vannamei warm house circulating water model pond according to claim 1, wherein, The number of the breeding units (2) is multiple, and they are connected in parallel to share the water treatment unit (3) and the intelligent management and control platform (6).

10. The Penaeus vannamei warm house circulating water model pond according to claim 1, wherein, The greenhouse building (1) is covered with heat preservation and light transmission materials, and the internal environment temperature is controllable.

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