A shrimp high pool nitrification flocculation cultivation system and control and circulation application method

Abstract

The present application relates to the water quality regulation technology field of aquaculture, especially a shrimp high position pool nitrification floc cultivation system and control and circulation application method. The system comprises a cultivation unit, a dosing unit, a monitoring control unit and a circulating waterway unit; the cultivation unit is provided with a cultivation tank, and the tank is partitioned to set a mixing area, a floc growth area and a clarification area; the monitoring control unit collects water quality data of the cultivation tank and the cultivation tank in real time through a sensor, dynamically calculates the nitrification floc dosage and automatically executes the dosing; the circulating waterway unit realizes water circulation between the cultivation tank and the cultivation unit, and an intelligent cultivation control method and a circulation application method of the nitrification floc in the early, middle and late stages of cultivation are also disclosed. The present application can efficiently and directionally cultivate biological flocs rich in nitrifying bacteria, realize real-time and accurate regulation of the water quality of cultivation, significantly reduce the water exchange amount, improve the feed utilization rate, and improve the survival rate and yield of shrimp cultivation, and has the significant advantages of water saving, emission reduction, high efficiency and environmental protection.

Description

Technical Field

[0001] This invention relates to the field of aquaculture water quality control technology, and in particular to a shrimp high-level pond nitrification floc cultivation system and its control and recycling application method. Background Technology

[0002] High-density shrimp farming is a mainstream intensive aquaculture model in coastal areas, characterized by high density, high feeding, and high yield. However, this model also suffers from significant problems such as severe self-pollution of the aquaculture water, drastic fluctuations in water quality, and large volumes of wastewater discharge. During the farming process, uneaten feed and shrimp excrement decompose to produce large amounts of ammonia nitrogen, which is further converted into nitrite. Both of these substances are highly toxic to farmed shrimp and are key factors in inducing disease and leading to farming failure.

[0003] Currently, the mainstream water quality maintenance and pollution control methods in elevated pond aquaculture have significant drawbacks. First, they rely on continuously pumping external seawater to replace the pond water to dilute harmful substances. This method consumes enormous amounts of water and energy and is susceptible to the quality of external water sources and pathogen risks, contradicting the national policy of promoting green, water-saving, and emission-reduction development in aquaculture. Second, they periodically apply microbial agents such as nitrifying bacteria, Bacillus, and photosynthetic bacteria to the pond. This method suffers from problems similar to other external microbial agent application methods, including unstable agent activity, difficulty in colonization in the water, slow effectiveness, high costs, and difficulty in sustaining the effect. Third, they add carbon sources to the pond to promote the reproduction of heterotrophic bacteria and form bioflocs to assimilate ammonia nitrogen. However, this technology is difficult to implement in elevated ponds, exhibiting unstable floc formation, easy sedimentation, high dependence on high-intensity aeration, and difficulty in cultivating efficient and stable nitrifying bacterial communities, leading to insufficient ammonia nitrogen conversion efficiency and easy accumulation of nitrite, highlighting the limitations of in-situ biofloc technology. Therefore, existing technologies lack a method and equipment capable of efficiently and directionally cultivating bioflocs rich in nitrifying bacteria, achieving precise and intelligent control linked to the water quality of the aquaculture pond, and efficiently integrating the purification unit with the aquaculture system. This has become a key bottleneck restricting the achievement of water conservation, emission reduction, stable production, and high efficiency in high-level shrimp aquaculture. Summary of the Invention

[0004] This invention overcomes the shortcomings of the prior art and provides a shrimp high-level pond nitrification floc cultivation system and a method for its control and recycling.

[0005] To achieve the above objectives, the technical solution adopted by the present invention is as follows: This invention provides a shrimp high-level pond nitrification floc cultivation system, the system comprising a cultivation unit: The cultivation unit includes at least one cultivation tank. The interior of the cultivation tank is divided into a mixing zone, a floc growth zone, and a clarification zone from bottom to top. The mixing zone is located at the bottom of the cultivation tank and is equipped with a microporous aeration disc and a low-speed submersible agitator. The floc growth zone is located in the core area in the middle of the cultivation tank and is filled with a large amount of suspended biological packing material. The clarification zone is located at the top of the tank and is equipped with an outlet pipe interface for leading out the supernatant or floc mixture. The cultivation tank is equipped with a feeding unit, which includes a discharge pump and a feeding pipeline connected to the cultivation tank, for quantitatively adding the cultivated nitrified floc suspension to the shrimp high-level culture pond. The cultivation tank and the shrimp high-level culture pond are jointly equipped with a monitoring and control unit. The monitoring and control unit includes a first sensor group, a second sensor group and a central controller. The first sensor group is located inside the cultivation tank and includes at least a pH sensor, an ammonia nitrogen sensor and a dissolved oxygen sensor. The second sensor group is installed in the shrimp high-level culture pond and includes at least an ammonia nitrogen sensor and a nitrite sensor. The cultivation tank is equipped with a circulating water system, which includes an inlet pipe interface, an inlet pump, and a return water pipe. It is used to transport the pond water from the shrimp high-level culture pond to the cultivation tank and to return the treated water or flocs.

[0006] Furthermore, in a preferred embodiment of the present invention, the culture tank is designed as a cylindrical or rectangular structure with a volume of 1 to 10 cubic meters, and is made of polyethylene, polypropylene, or stainless steel; the suspended biological packing layer uses K5 packing, MBBR packing, or a combination of packing, with a filling rate of 30% to 70% and a specific surface area greater than 800 m² / m³.

[0007] Furthermore, in a preferred embodiment of the present invention, the microporous aeration disc is connected to a Roots blower via a pipeline, and the aeration intensity is 0.1 to 0.5 m³ air / m³ water·min; the rotation speed of the low-speed submersible mixer is 20 to 100 rpm.

[0008] Furthermore, in a preferred embodiment of the present invention, the central controller is a PLC or an industrial computer with a built-in intelligent breeding control model.

[0009] Furthermore, in a preferred embodiment of the present invention, the monitoring and control unit further includes an automatic nutrient dosing device, which is interconnected with the central controller. The automatic nutrient dosing device includes storage tanks for storing carbon sources, nitrogen sources, alkalinity supplements, and trace elements, as well as a precision metering pump, and is responsible for automatically adding cultivation materials according to a preset formula.

[0010] Furthermore, in a preferred embodiment of the present invention, a drain valve is provided at the conical bottom end of the mixing zone of the cultivation tank, the drain valve being used to periodically drain any inert sludge that may accumulate at the bottom of the tank.

[0011] The second aspect of this invention provides a control method for a high-level shrimp nitrification floc cultivation system, applicable to any of the high-level shrimp nitrification floc cultivation systems described in any one of the claims, specifically including the following steps: The system is initialized by injecting pretreated water with a salinity matching that of the shrimp high-level culture pond into the culture tank, introducing nitrifying bacteria, adding suspended packing material, starting the Roots blower to aerate the microporous aeration discs and the low-speed submersible mixer to stir. When the cultivation mode is activated, the central controller controls the automatic nutrient dosing device to add carbon source, nitrogen source and alkalinity supplement according to the preset nitrifying bacteria culture medium formula, based on the ammonia nitrogen concentration and pH value fed back by the first sensor group, so as to carry out the expansion and biofilm formation of nitrifying bacteria. When the concentrations of ammonia nitrogen and nitrite in the incubation tank are consistently below the set threshold within a specified time period, and the biofilm on the packing material is obvious, it is determined that the nitrifying bacteria have matured and entered the floc maintenance mode; the specified time period is 12 to 24 hours. During the floc maintenance mode, the second sensor group receives real-time water quality data from the aquaculture pond during the target cultivation period, and dynamically calculates and controls the required amount of nitrifying flocs based on the built-in cultivation control model; the real-time water quality data includes real-time ammonia nitrogen data and real-time nitrite data. The central controller controls the pumping frequency and running time of the discharge pump based on the calculated amount of nitrified flocs added, so as to accurately add the nitrified floc suspension in the culture tank to the shrimp high-level culture pond. Based on real-time water quality data from shrimp high-level culture ponds, the nutrient addition strategy in the culture tanks is adjusted in reverse to simulate the pollution load of the culture ponds and maintain the activity and adaptability of the nitrifying flocculent bacteria community in the culture tanks.

[0012] Furthermore, in a preferred embodiment of the present invention, the step of dynamically calculating and controlling the required amount of nitrified flocs based on a built-in cultivation control model specifically includes the following steps: Historical water quality data of shrimp high-level aquaculture ponds were extracted from water quality treatment logs, and a pollution assessment system for shrimp high-level aquaculture based on different water quality levels was obtained from big data networks. The principal component analysis algorithm is used to train and analyze historical water quality data and pollution assessment system, and a water quality assessment model is constructed. Real-time water quality data is then imported into the water quality assessment model for pollution assessment. A dynamic model of ammonia nitrogen and nitrite was introduced to obtain key situational variables of real-time water quality changes observed by the second sensor group in the spatiotemporal dimension. Based on the ammonia nitrogen-nitrite kinetic model, the key situation variables are analyzed and characterized by discrete situation of continuous water quality deterioration. Real-time water quality situation state function is constructed, and each real-time water quality situation state function is organized and connected in an adjacency manner according to the target cultivation time segment to generate real-time water quality situation evolution chain. The water quality sensing and monitoring strategy of the second sensor group is obtained. Based on the water quality sensing and monitoring strategy, the water quality monitoring stage of the second sensor group serving the current shrimp high-level aquaculture pond is divided into several sub-water quality sensing stages. The instantaneous incremental algorithm is introduced to calculate the state change of each sub-water quality sensing stage in the real-time water quality state evolution chain, and multiple single-step state increments are obtained. Based on the single-step situation increment, an evolution weight factor is assigned to each different sub-water quality sensing stage using a real-time time decay function. The corresponding continuous deterioration of water quality in each water quality sensing stage on the real-time water quality situation evolution chain is accumulated and calculated according to the evolution weight factor, and the accumulated result is output. During the assessment process, the real-time water quality status indicators are updated based on the cumulative results, and a real-time water quality pollution status assessment value is generated. Based on the pollution status assessment value, a dynamic dosing plan for nitrifying flocs is decided, and the required amount of nitrifying flocs to be added is calculated based on the dynamic dosing plan.

[0013] The third aspect of this invention provides a method for the cyclical application of a high-level shrimp nitrification floc cultivation system, which employs the aforementioned high-level shrimp nitrification floc cultivation system and applies the aforementioned control method, specifically including the following steps: Early stage of aquaculture: Mature nitrified flocs are independently cultivated in the rearing unit; when the ammonia nitrogen concentration in the high-level shrimp culture pond begins to rise, intermittent low-flow addition is initiated, with the addition amount being 0.1% to 0.5% of the culture pond water. Mid-stage aquaculture: As the feeding amount increases, start a continuous or high-frequency feeding mode, and adjust the feeding amount in real time according to water quality monitoring data. The feeding amount is 0.5% to 2.0% of the aquaculture pond water to control ammonia nitrogen below 1.0 mg / L and nitrite below 0.5 mg / L. In the later stages of aquaculture: strengthen the addition of nitrifying flocs and aeration to cope with high pollution loads. The addition amount is 1.0% to 3.0% of the aquaculture pond water to suppress peak levels of ammonia nitrogen and nitrite. Wastewater treatment stage: Wastewater discharged from the aquaculture pond is introduced into the cultivation unit for treatment. Part of the supernatant after treatment is reused, while the flocculent sludge rich in nitrifying bacteria is returned to the aquaculture pond or used as nitrifying bacteria for the next batch of cultivation.

[0014] Furthermore, in a preferred embodiment of the present invention, the method further includes the following steps: The carbon-nitrogen ratio of nitrified flocs was adjusted to 4:1 to 12:1 depending on the different stages of high-level shrimp farming. Adjust the feeding frequency according to changes in aquaculture water temperature; for every 5°C increase in water temperature, increase the feeding frequency by 20% to 30%. Regularly replenish the culture tank with trace elements, including compounds of iron, calcium, magnesium, and molybdenum; Establish a water quality database covering the entire aquaculture process to optimize control parameters for subsequent aquaculture cycles.

[0015] The beneficial technical effects of this invention are as follows: This invention, through an independent and controllable environment (cultivation tank) and precise nutrient regulation, enables the targeted and efficient cultivation of highly active bioflocs with nitrifying bacteria as the core functional bacteria, overcoming the uncertainty and low efficiency of in-situ cultivation. This system achieves "on-demand purification" by intelligently calculating and precisely adding the required "dosage" of nitrifying flocs through real-time monitoring of the aquaculture pond water quality. It boasts rapid response and precise water quality control, avoiding the lag and indiscriminate application of traditional methods. Furthermore, this invention forms a closed-loop cycle between the aquaculture pond, cultivation unit, and wastewater treatment, significantly reducing dependence on external water sources and direct wastewater discharge. The nitrifying flocs, acting as an "active biological agent," are recycled within the system, improving resource utilization. In summary, this system can achieve automated or semi-automated control throughout the entire process from cultivation and monitoring to addition, significantly reducing labor intensity and reliance on operator experience, making it suitable for modern, large-scale aquaculture farms. Attached Figure Description

[0016] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other embodiments can be obtained from these drawings without creative effort.

[0017] Figure 1 This is a schematic diagram of the overall structure of the system; Figure 2 This is a line graph comparing the application effects of this system.

[0018] The annotations in the attached figures are explained as follows: 101. Cultivation tank; 102. Mixing zone; 103. Floc growth zone; 104. Clarification zone; 105. Microporous aeration disc; 106. Low-speed submersible mixer; 107. Dosing pipeline; 108. pH sensor; 109. Ammonia nitrogen sensor; 201. Drain valve; 202. Inlet pipe interface; 203. Outlet pipe interface. Detailed Implementation

[0019] To better understand the above-mentioned objectives, features, and advantages of the present invention, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. These drawings are simplified schematic diagrams, which only illustrate the basic structure of the present invention in a schematic manner. Therefore, they only show the components related to the present invention. It should be noted that, unless otherwise specified, the embodiments and features in the embodiments of this application can be combined with each other.

[0020] In the description of this application, it should be understood that the terms "center," "longitudinal," "lateral," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," and "outer," etc., indicating orientation or positional relationships based on the orientation or positional relationships shown in the accompanying drawings, 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 limiting the scope of protection of this application. Furthermore, the terms "first," "second," etc., are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Therefore, features defined with "first," "second," etc., may explicitly or implicitly include one or more of that feature. In the description of this invention, unless otherwise stated, "a plurality of" means two or more.

[0021] In the description of this application, it should be noted that, unless otherwise expressly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to fixed connections, detachable connections, or integral connections; they can refer to mechanical connections or electrical connections; they can refer to direct connections or indirect connections through an intermediate medium; and they can refer to the internal communication between two components. Those skilled in the art will understand the specific meaning of the above terms in this application based on the specific circumstances.

[0022] To facilitate understanding of the present invention, a more complete description will be given below with reference to the accompanying drawings. Preferred embodiments of the invention are shown in the drawings. However, the invention can be implemented in many different forms and is not limited to the embodiments described herein. Rather, these embodiments are provided to provide a thorough and complete understanding of the disclosure of the invention.

[0023] like Figure 1 As shown, the first aspect of the present invention provides a shrimp high-level pond nitrification floc cultivation system, the system comprising a cultivation unit.

[0024] The cultivation unit includes at least one cultivation tank 101. The interior of the cultivation tank is divided into a mixing zone 102, a floc growth zone 103, and a clarification zone 104 from bottom to top. The mixing zone 102 is located at the bottom of the cultivation tank 101 and is equipped with a microporous aeration disc 105 and a low-speed submersible agitator 106. The floc growth zone 103 is located in the core area in the middle of the cultivation tank 101 and is filled with a large amount of suspended biological filler. The clarification zone 104 is located at the upper part of the tank and is equipped with an outlet pipe interface 203 for leading out the supernatant or floc mixture.

[0025] The cultivation tank 101 is equipped with a feeding unit, which includes a discharge pump and a feeding pipeline 107 connected to the cultivation tank 101, for quantitatively adding the cultivated nitrified floc suspension to the shrimp high-level culture pond.

[0026] The cultivation tank 101 and the shrimp high-level culture pond are jointly equipped with a monitoring and control unit. The monitoring and control unit includes a first sensor group, a second sensor group and a central controller. The first sensor group is located inside the cultivation tank 101 and includes at least a pH sensor 108, an ammonia nitrogen sensor 109 and a dissolved oxygen sensor. The second sensor group is installed in the shrimp high-level culture pond and includes at least an ammonia nitrogen sensor 109 and a nitrite sensor.

[0027] The cultivation tank 101 is equipped with a circulating water system, which includes an inlet pipe interface 202, an inlet pump, and a return water pipe. It is used to transport the pond water from the shrimp high-level culture pond to the cultivation tank 101 and to return the treated water or flocs.

[0028] It should be noted that the mixing zone 102 is primarily designed with a conical structure to facilitate wastewater discharge during subsequent floc cultivation. The suspended biological packing material filled in the floc growth zone 103 provides a large attachment surface area for nitrifying bacteria and other microorganisms, forming a high-density biofilm, which is the core site for nitrification and floc formation. The clarification zone 104 has a relatively stable water flow, allowing denser flocs or solid particles to settle and separate. The discharge pump is typically a screw pump, used to transport the mature nitrified floc suspension to the aquaculture tank. The addition pipeline 107 extends to the mixing zone 102, ensuring that the additive can be quickly introduced into the mixing zone containing the floc cultivation raw materials and enter the circulation process.

[0029] Furthermore, in a preferred embodiment of the present invention, the culture tank 101 is designed as a cylindrical or rectangular structure with a volume of 1 to 10 cubic meters, and is made of polyethylene, polypropylene or stainless steel; the suspended biological packing layer uses K5 packing, MBBR packing or combined packing, with a filling rate of 30% to 70% and a specific surface area greater than 800 m² / m³.

[0030] It should be noted that the cultivation tank 101, designed as a cylindrical or rectangular structure with a volume controlled within the range of 1 to 10 cubic meters, allows for a stable and uniform hydraulic circulation flow within the tank, ensuring sufficient cultivation space while improving the system's engineering adaptability. Simultaneously, the use of polyethylene, polypropylene, or stainless steel materials provides the equipment with excellent corrosion resistance and structural strength, enabling it to adapt to high-salinity aquaculture environments for extended periods. Inside the cultivation tank 101, a suspended biological packing layer of K5, MBBR, or combined packing materials with a filling rate of 30% to 70% and a specific surface area greater than 800 m² / m³ is installed. This provides ample space for the attachment and growth of functional microorganisms such as nitrifying bacteria. Under aeration, the packing material remains fluidized, promoting sufficient contact between water, oxygen, and microorganisms. This increases the microbial biomass and nitrification efficiency per unit volume, enhances the conversion capacity of ammonia nitrogen and nitrite, and ultimately achieves efficient cultivation of nitrified flocs, improving the stability and reliability of water quality control in the aquaculture system.

[0031] Furthermore, in a preferred embodiment of the present invention, the microporous aeration disc 105 is connected to a Roots blower via a pipeline, and the aeration intensity is 0.1 to 0.5 m³ air / m³ water·min; the rotation speed of the low-speed submersible mixer 106 is 20 to 100 rpm.

[0032] It should be noted that the microporous aeration discs 105 are evenly distributed at the bottom of the floc growth zone to provide uniform and fine air bubbles into the cultivation tank 101, achieving the following key functions: first, providing sufficient dissolved oxygen for the high-oxygen-consuming nitrification process; second, fluidizing the suspended packing material through airflow agitation, preventing caking, and promoting full contact between water, air, and microorganisms; the Roots blower provides the main aeration source inside the cultivation tank 101. Furthermore, the aeration intensity is controlled within the range of 0.1–0.5 m³ air / m³ water·min, ensuring the aeration system continuously provides sufficient and uniformly distributed dissolved oxygen into the cultivation tank 101, while simultaneously creating stable airflow disturbance to maintain the fluidized state of the suspended biological packing material, enhancing the mass transfer performance between water, oxygen, and microorganisms, thereby meeting the high-oxygen-consuming metabolic needs of nitrifying bacteria and improving ammonia nitrogen conversion efficiency. The low-speed submersible mixer 106 is installed in the mixing zone, its main function being to prevent packing material from settling at the bottom during system startup, evacuation, or when enhanced mixing is required, and to ensure rapid and uniform diffusion of the added nutrients within the tank. In addition, the system sets the speed of the low-speed submersible mixer 106 in the range of 20 to 100 rpm, which can avoid excessive shearing that could damage the biofloc structure while ensuring uniform mixing of the water in the tank. This promotes the rapid diffusion of nutrients in the tank and prevents the deposition of packing material and flocs, thereby maintaining a stable reaction environment inside the cultivation tank, further improving the activity of nitrifying bacteria and the cultivation efficiency of nitrifying flocs, and enhancing the stability and reliability of the system operation.

[0033] Furthermore, in a preferred embodiment of the present invention, the central controller is a PLC or an industrial computer with a built-in intelligent breeding control model.

[0034] It should be noted that the central controller receives signals from all sensors and controls the start and stop operation of actuators such as pumps, fans, and metering pumps. The cultivated control model supports adaptive learning and can optimize control parameters based on historical dosing results.

[0035] Furthermore, in a preferred embodiment of the present invention, the monitoring and control unit further includes an automatic nutrient dosing device, which is interconnected with the central controller. The automatic nutrient dosing device includes storage tanks for storing carbon sources, nitrogen sources, alkalinity supplements, and trace elements, as well as a precision metering pump, and is responsible for automatically adding cultivation materials according to a preset formula.

[0036] It should be noted that carbon sources, nitrogen sources, alkalinity supplements, and trace elements are stored in separate tanks and quantitatively added according to a preset formula using a precision metering pump. This allows the cultivation system to automatically adjust the addition ratio and amount of various nutrients based on water quality monitoring data within cultivation tank 101, thereby providing stable and suitable nutritional conditions for the growth and reproduction of nitrifying bacteria and ensuring that the bacteria maintain high activity during both expansion and maintenance phases. Simultaneously, the automated addition method improves the accuracy and uniformity of material addition, avoiding dosage errors or fluctuations caused by manual addition, further enhancing the stability and controllability of the nitrification floc cultivation process, reducing manual operation intensity, and improving the overall operating efficiency and intelligence level of the system.

[0037] Furthermore, in a preferred embodiment of the present invention, an emptying valve 201 is provided at the conical bottom end of the mixing zone of the cultivation tank 101, the emptying valve 201 being used to periodically empty the inert sludge that may accumulate at the bottom of the tank.

[0038] It should be noted that the drain valve 201 periodically discharges the inert sludge, inorganic particles and aged flocs that have accumulated at the bottom of the cultivation tank 101 during the cultivation process, preventing the sediment from accumulating in the tank for a long time and affecting the water circulation and fluidization state of the packing. At the same time, this structure helps to maintain the effective reaction space and good hydraulic conditions inside the cultivation tank 101, reduce the risk of secondary pollution caused by sludge putrefaction, and maintain the activity and stability of the nitrifying bacteria.

[0039] The second aspect of this invention provides a control method for a high-level shrimp nitrification floc cultivation system, applicable to any of the high-level shrimp nitrification floc cultivation systems described in any one of the claims, specifically including the following steps: The system is initialized by injecting pretreated water with a salinity matching that of the shrimp high-level culture pond into the culture tank, introducing nitrifying bacteria, adding suspended packing material, starting the Roots blower to aerate the microporous aeration discs and the low-speed submersible mixer to stir. When the cultivation mode is activated, the central controller controls the automatic nutrient dosing device to add carbon source, nitrogen source and alkalinity supplement according to the preset nitrifying bacteria culture medium formula, based on the ammonia nitrogen concentration and pH value fed back by the first sensor group, so as to carry out the expansion and biofilm formation of nitrifying bacteria. When the concentrations of ammonia nitrogen and nitrite in the incubation tank are consistently below the set threshold within a specified time period, and the biofilm on the packing material is obvious, it is determined that the nitrifying bacteria have matured and entered the floc maintenance mode; the specified time period is 12 to 24 hours. During the floc maintenance mode, the second sensor group receives real-time water quality data from the aquaculture pond during the target cultivation period, and dynamically calculates and controls the required amount of nitrifying flocs based on the built-in cultivation control model; the real-time water quality data includes real-time ammonia nitrogen data and real-time nitrite data. The central controller controls the pumping frequency and running time of the discharge pump based on the calculated amount of nitrified flocs added, so as to accurately add the nitrified floc suspension in the culture tank to the shrimp high-level culture pond. Based on real-time water quality data from shrimp high-level culture ponds, the nutrient addition strategy in the culture tanks is adjusted in reverse to simulate the pollution load of the culture ponds and maintain the activity and adaptability of the nitrifying flocculent bacteria community in the culture tanks.

[0040] Furthermore, in a preferred embodiment of the present invention, the step of dynamically calculating and controlling the required amount of nitrified flocs based on a built-in cultivation control model specifically includes the following steps: Historical water quality data of shrimp high-level aquaculture ponds were extracted from water quality treatment logs, and a pollution assessment system for shrimp high-level aquaculture based on different water quality levels was obtained from big data networks. The principal component analysis algorithm is used to train and analyze historical water quality data and pollution assessment system, and a water quality assessment model is constructed. Real-time water quality data is then imported into the water quality assessment model for pollution assessment. A dynamic model of ammonia nitrogen and nitrite was introduced to obtain key situational variables of real-time water quality changes observed by the second sensor group in the spatiotemporal dimension. Based on the ammonia nitrogen-nitrite kinetic model, the key situation variables are analyzed and characterized by discrete situation of continuous water quality deterioration. Real-time water quality situation state function is constructed, and each real-time water quality situation state function is organized and connected in an adjacency manner according to the target cultivation time segment to generate real-time water quality situation evolution chain. The water quality sensing and monitoring strategy of the second sensor group is obtained. Based on the water quality sensing and monitoring strategy, the water quality monitoring stage of the second sensor group serving the current shrimp high-level aquaculture pond is divided into several sub-water quality sensing stages. The instantaneous incremental algorithm is introduced to calculate the state change of each sub-water quality sensing stage in the real-time water quality state evolution chain, and multiple single-step state increments are obtained. Based on the single-step situation increment, an evolution weight factor is assigned to each different sub-water quality sensing stage using a real-time time decay function. The corresponding continuous deterioration of water quality in each water quality sensing stage on the real-time water quality situation evolution chain is accumulated and calculated according to the evolution weight factor, and the accumulated result is output. During the assessment process, the real-time water quality status indicators are updated based on the cumulative results, and a real-time water quality pollution status assessment value is generated. Based on the pollution status assessment value, a dynamic dosing plan for nitrifying flocs is decided, and the required amount of nitrifying flocs to be added is calculated based on the dynamic dosing plan.

[0041] It should be noted that during the high-density farming of shrimp, feed residue, carcasses, excrement, and organic waste such as microorganisms continuously generate large amounts of ammonia nitrogen and nitrite in the ponds. Therefore, over time, the concentrations of ammonia nitrogen and nitrite gradually increase, leading to water quality deterioration. Because this is a gradual and dynamic process of water quality deterioration, traditional system cultivation control models or methods are insufficient to provide high-level dynamic decision-making performance for the continuous temporal evolution of real-time water quality, resulting in deviations or inappropriate planning of the final nitrifying floc dosage. To address this, this method first uses principal component analysis to establish a water pollution quality assessment model to conduct a preliminary assessment of real-time water quality. The assessment results serve as the fundamental premise and reference benchmark for dynamic decision-making regarding nitrifying floc dosage. Furthermore, this method employs a kinetic model of ammonia nitrogen and nitrite production in aquaculture water to analyze the continuous deterioration of real-time water quality data. Specifically, the kinetic model is used to analyze and characterize the discrete states and conditions of key situational variables corresponding to real-time water quality data, forming an initial baseline of the water quality situation and establishing a situational state function. Key situational variables are core, sensitive, and quantifiable characteristic indicators that reflect the real-time water environment state. They determine the system observation dimensions and descriptive elements of the aquaculture water quality situation, such as dissolved oxygen decreasing from 8 mg / L to 4 mg / L and water turbidity increasing from 5 NTU to 20 NTU. The situational state function reflects the evolutionary relationship of external states between key situational variables, characterizing the inherent laws governing the changes in real-time ammonia nitrogen and nitrite concentrations. This allows the water quality system to deduce the next stage state based on the current state and external events, forming a dynamic trajectory with logical sequence characteristics. This provides a traceable change mechanism and pre-rules for creating a real-time water quality situation evolution chain and dynamically exploring water quality deterioration, enabling state transition inflection points to be traceable.

[0042] It should be noted that this method subsequently divides the water quality monitoring stage of the second sensor group into several sub-water quality sensing stages based on a water quality sensing and monitoring strategy. This strategy includes blind-spot-free capture of water quality changes, dynamic adjustment of water quality sampling frequency, and collaborative sensing and fusion of multiple parameters such as dissolved oxygen, conductivity, and turbidity. This allows for the subdivision of the water quality evolution process, following the sensor's sensing plan, in the smallest possible units, further improving the fine-grained control of nitrification floc addition at different real-time water quality change nodes. Furthermore, an instantaneous incremental algorithm is used to perform differential calculations on the state changes between adjacent stages. Single-step state increments quantify the specific deterioration of real-time water quality at each evolution stage, making the dynamic state transition process clearer. The single-step state increment measures the impact of each time-series water quality evolution, revealing the local contribution of real-time water quality system changes. Based on these obtained local contributions (single-step situation increments), evolution weighting factors are assigned and accumulated to enhance and differentiate the severity of deterioration at different water quality jump points, eliminate interference from weak situation noise, and make the dynamic adjustment of the dosing scheme more consistent with the real evolution law of the real-time water quality system, thereby improving the accuracy of situation assessment. The final accumulated calculation result of the evolution weighting factors reflects the comprehensive index of the real-time water quality situation of ammonia nitrogen and nitrite from local changes to the global development trend. Compared with traditional models or methods, this method can conduct chain exploration and accumulation of the water quality deterioration trend in aquaculture ponds based on real-time water quality data, which can significantly improve the accuracy and reliability of nitrifying floc dosing based on dynamic water quality changes.

[0043] Furthermore, this invention also provides a method for establishing the cultivation control model and controlling the component ratio adjustment based on the dynamic dosage of nitrified flocs, specifically including the following steps: The fixed culture components of nitrified flocs under normal conditions and the predetermined basic component parameters of each fixed culture component are obtained through big data networks. The fixed culture components and basic component parameters are mapped to establish a nitrified floc culture database. Based on big data network retrieval, we obtained empirical cultivation cases of nitrified flocs and the biological interaction mechanism of different fixed culture components in the cultivation of normal nitrified flocs. Through empirical cultivation cases, we extracted the cultivation state vector and corresponding reaction attribute variables of each fixed culture component interacting to form nitrified flocs under different preset cultivation environment conditions. The actual nitrified floc feature type required for the current high-level shrimp culture pond is obtained. Based on the biological interaction mechanism, a sub-component state transition architecture of the actual nitrified floc feature type is constructed. Based on the reaction attribute variable, the culture state vector is fitted in the sub-component state transition architecture to generate a multi-dimensional culture state matrix of nitrified flocs obtained by fixed culture sub-component interaction. The interaction dependency network reflecting the influence between sub-component states is extracted from the multidimensional cultivation state matrix. The pheromone of the state coupling links of the interaction dependency network is quantified according to the reaction attribute variables to obtain the interaction coupling matrix of the multidimensional cultivation state. The prior contribution distribution of the cultivation state vector generated by each fixed culture component under normal conditions of nitrified flocs is retrieved from the nitrified floc cultivation database, and the proportion of the base component is preset based on the prior contribution distribution. Based on the interaction coupling matrix, the proportion of the base components corresponding to each fixed culture component is normalized, corrected and iterated. During the correction and iteration process, a hash algorithm is introduced to calculate the bias hash degree between the actual nitrified floc characteristic type and the predetermined nitrified floc characteristic type under normal conditions. If the bias hash is less than or equal to the preset constraint threshold or is eliminated, the correction operation of the base component ratio is stopped, and the target component ratio parameter for cultivating the actual nitrified floc characteristic type is finally output.

[0044] It should be noted that, to ensure improved shrimp farming quality and survival rates, different types of shrimp require different levels of normal or abnormal nitrifying flocs for water quality optimization in high-density farming. However, traditional cultivation control models or methods used for nitrifying floc addition often fail to perform the appropriate proportions of component parameters based on the required nitrifying flocs in the current shrimp pond. This results in the cultivated nitrifying flocs failing to effectively improve water quality after addition, significantly reducing feed utilization and water change frequency in shrimp farming. To address this, this method assigns a component proportion adjustment function to the cultivation control model built into the central controller. Specifically, the basic component parameters of nitrified flocs under normal conditions are first obtained through big data networks, and a database is established. This database can retrieve the probability distribution, importance, or sampling frequency of sub-components with different cultivation traits when cultivating normal nitrified flocs. This determines the proportion of the cultivation state vector generated by each fixed cultivation sub-component in the current nitrified floc composition production, i.e., the prior contribution distribution. This ensures that the subsequent component ratio adjustment results for different nitrified floc characteristic types conform to the normal data distribution characteristics, and provides a known and highly reliable prior initial ratio (base component ratio). Furthermore, cultivation state vectors and reaction attribute variables of different component interactions were extracted through empirical cultivation cases. Both belong to historical reference data for nitrification floc cultivation. Among them, the cultivation state vector refers to the internal ecological and physicochemical state vector of different fixed cultivation components during nitrification floc formation, such as the relative abundance of ammonia-oxidizing bacteria, floc particle size distribution, microbial community structure, or component diversity index. Vector example: [pH=7.2, DO=2.5mg / L, relative abundance of ammonia-oxidizing bacteria=15%]; the reaction attribute variables are indicators describing the response or performance of the cultivation function to external stimuli or internal interaction processes, including the maximum reaction rate of reaction kinetics, component interaction inhibition constant, half-saturation constant, etc. This method follows the biological interaction mechanism to fit the culture state vector into the sub-component state transition architecture of the actual nitrified floc characteristic type. This allows for the design of an interaction dynamic state space that conforms to the fixed culture sub-components to meet the nitrified flocs required by the current aquaculture pond, i.e., a multi-dimensional culture state matrix. This clarifies the accurate coupling relationship and adjustment range of the component interaction mechanism, ensuring the reliability of the subsequent proportion of each sub-component and improving the accuracy of the proportion parameters.

[0045] It should be noted that by quantifying the dependence of the interaction effects between the states of sub-components, specifically by exploring pheromones of state coupling links based on reaction attribute variables, pheromones reveal the coupling strength manifested in the nitrification floc cultivation state after the interaction between different sub-components. This is a key benchmark reflecting whether the component ratios are consistent with the actual characteristic type and their rationality in nitrification floc cultivation. An interaction coupling matrix is ​​established, which enhances the ability to express the complex internal correlation structure of component interaction state transitions based on the actual nitrification floc characteristic type. This ensures that the formulation considers not only the state influence of individual components but also the overall state correlation of nitrification flocs. Among them, the bias hash rate measures the degree of alignment between the actual nitrification floc characteristic type and the predetermined nitrification floc characteristic type. It serves as a benchmark and reference for the proportioning of each sub-component according to the normal rules for the actual nitrification floc characteristic type, ensuring the rationality of the planned target component ratio parameters. This method enables the cultivation control model to perform component interaction analysis and adjustment based on the required nitrified floc characteristics of the current aquaculture pond, thereby outputting accurate target component ratio parameters. This ensures that the nitrified flocs are compatible with the water quality characteristics of the current aquaculture pond, improving the reliability of floc cultivation.

[0046] The third aspect of this invention provides a method for the cyclical application of a high-level shrimp nitrification floc cultivation system, which employs the aforementioned high-level shrimp nitrification floc cultivation system and applies the aforementioned control method, specifically including the following steps: Early stage of aquaculture: Mature nitrified flocs are independently cultivated in the rearing unit; when the ammonia nitrogen concentration in the high-level shrimp culture pond begins to rise, intermittent low-flow addition is initiated, with the addition amount being 0.1% to 0.5% of the culture pond water. Mid-stage aquaculture: As the feeding amount increases, start a continuous or high-frequency feeding mode, and adjust the feeding amount in real time according to water quality monitoring data. The feeding amount is 0.5% to 2.0% of the aquaculture pond water to control ammonia nitrogen below 1.0 mg / L and nitrite below 0.5 mg / L. In the later stages of aquaculture: strengthen the addition of nitrifying flocs and aeration to cope with high pollution loads. The addition amount is 1.0% to 3.0% of the aquaculture pond water to suppress peak levels of ammonia nitrogen and nitrite. Wastewater treatment stage: Wastewater discharged from the aquaculture pond is introduced into the cultivation unit for treatment. Part of the supernatant after treatment is reused, while the flocculent sludge rich in nitrifying bacteria is returned to the aquaculture pond or used as nitrifying bacteria for the next batch of cultivation.

[0047] It should be noted that by managing the application of nitrifying flocs in stages—early, middle, and late stages of shrimp farming, as well as in wastewater treatment—the addition strategy can be matched with changes in pollution load during shrimp farming. In the early stage, intermittent, low-flow addition allows nitrifying bacteria to gradually adapt to the aquatic environment and establish initial purification capacity. In the middle stage, the addition rate is dynamically adjusted based on water quality monitoring data, and continuous or high-frequency addition enhances the conversion capacity of ammonia nitrogen and nitrite, thereby stabilizing water quality indicators. In the late stage, to address the high pollution load caused by high feeding rates, the addition rate is increased and aeration is strengthened to suppress peak levels of ammonia nitrogen and nitrite. Simultaneously, in the wastewater treatment stage, the wastewater is introduced into the rearing unit for further treatment, and the nitrifying bacteria-rich flocs are recycled, achieving internal recycling within the farming system. This reduces water exchange and wastewater discharge, improves water resource utilization, and enhances the overall water quality control capacity and operational stability of the farming system.

[0048] Furthermore, in a preferred embodiment of the present invention, the method further includes the following steps: The carbon-nitrogen ratio of nitrified flocs was adjusted to 4:1 to 12:1 depending on the different stages of high-level shrimp farming. Adjust the feeding frequency according to changes in aquaculture water temperature; for every 5°C increase in water temperature, increase the feeding frequency by 20% to 30%. Regularly replenish the culture tank with trace elements, including compounds of iron, calcium, magnesium, and molybdenum; Establish a water quality database covering the entire aquaculture process to optimize control parameters for subsequent aquaculture cycles.

[0049] It should be noted that the carbon-to-nitrogen ratio of nitrifying flocs is dynamically adjusted to 4:1–12:1 according to different stages of high-level shrimp farming, ensuring that the microbial community can obtain suitable nutrient ratios under different pollution loads, thereby maintaining the stable growth of nitrifying bacteria and related functional bacteria. Simultaneously, the dosing frequency is adaptively adjusted based on changes in water temperature; the dosing frequency is increased by 20%–30% for every 5°C increase in water temperature to match the impact of water temperature changes on microbial metabolic rates and nitrogen conversion rates, thus ensuring the stability of water quality control. Secondly, regularly supplementing the cultivation tank with trace elements such as iron, calcium, magnesium, and molybdenum provides necessary cofactors for the nitrifying bacteria's metabolic enzyme system, enhancing bacterial activity and promoting nitrification efficiency. Establishing a comprehensive water quality database for the entire farming process, recording and analyzing historical water quality data and dosing effects, provides optimized control parameters for subsequent farming cycles, thereby improving the scientific rigor and precision of the system's control strategy and further enhancing the stability and long-term operational efficiency of the nitrifying floc cultivation and application process.

[0050] In conjunction with the above embodiments, comparative experimental data on the aquaculture application of the present invention are further provided, demonstrating the differences in ammonia nitrogen (NH4+-N) and nitrite nitrogen (NO2) in the aquaculture pond water of the system of the present invention (experimental group) and the traditional aquaculture mode (control group). - The dynamic changes in N-N concentration and the differences in control effects, such as Figure 2 As shown, an example is as follows: A comparative experiment was conducted at a certain aquaculture farm. The experimental pond (1.5 mu) was equipped with the nitrification floc cultivation system of this invention, while the control pond (1.5 mu) adopted the traditional "microbial preparation spraying + regular large water exchange" mode. Both ponds were stocked with 250,000 P10 larvae of Litopenaeus vannamei per mu.

[0051] Experimental pond operation: Following the method in Example 2, nitrifying flocs were automatically added based on water quality starting from day 25 of culture. The total water exchange volume throughout the culture process was 8500 cubic meters.

[0052] Control pond operation: Apply commercial nitrifying bacteria products every 3-5 days. When ammonia nitrogen or nitrite levels rise significantly, perform a large water change (single water change volume >10%). The total water change volume throughout the entire aquaculture process is 22,000 cubic meters.

[0053] Test results (refer to) Figure 2 The water quality (ammonia nitrogen, nitrite) in the experimental tank fluctuated significantly less than that in the control tank, remaining consistently within safe limits. The final production data comparison is shown in Table 1-1 below: Table 1-1

[0054] Data shows that by applying the system and method of this invention, the amount of water exchanged is significantly reduced (by 61%), while the survival rate, yield and feed utilization of shrimp are improved, thus achieving the green aquaculture goals of water conservation, increased production and increased efficiency.

[0055] The above are merely specific embodiments of the present invention, but the scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A shrimp high-level pond nitrification floc cultivation system, the system comprising a cultivation unit, characterized in that: The cultivation unit includes at least one cultivation tank. The interior of the cultivation tank is divided into a mixing zone, a floc growth zone, and a clarification zone from bottom to top. The mixing zone is located at the bottom of the cultivation tank and is equipped with a microporous aeration disc and a low-speed submersible agitator. The floc growth zone is located in the core area in the middle of the cultivation tank and is filled with a large amount of suspended biological packing material. The clarification zone is located at the top of the tank and is equipped with an outlet pipe interface for leading out the supernatant or floc mixture. The cultivation tank is equipped with a feeding unit, which includes a discharge pump and a feeding pipeline connected to the cultivation tank, for quantitatively adding the cultivated nitrified floc suspension to the shrimp high-level culture pond. The cultivation tank and the shrimp high-level culture pond are jointly equipped with a monitoring and control unit. The monitoring and control unit includes a first sensor group, a second sensor group and a central controller. The first sensor group is located inside the cultivation tank and includes at least a pH sensor, an ammonia nitrogen sensor and a dissolved oxygen sensor. The second sensor group is installed in the shrimp high-level culture pond and includes at least an ammonia nitrogen sensor and a nitrite sensor. The cultivation tank is equipped with a circulating water system, which includes an inlet pipe interface, an inlet pump, and a return water pipe. It is used to transport the pond water from the shrimp high-level culture pond to the cultivation tank and to return the treated water or flocs.

2. The shrimp high-level pond nitrification floc cultivation system according to claim 1, characterized in that, The cultivation tank is designed as a cylindrical or rectangular structure with a volume of 1 to 10 cubic meters, and is made of polyethylene, polypropylene or stainless steel; the suspended biological packing layer uses K5 packing, MBBR packing or combined packing, with a filling rate of 30% to 70% and a specific surface area greater than 800 m² / m³.

3. The shrimp high-level pond nitrification floc cultivation system according to claim 1, characterized in that, The microporous aeration disc is connected to a Roots blower via a pipeline, and the aeration intensity is 0.1 to 0.5 m³ air / m³ water·min; the rotation speed of the low-speed submersible mixer is 20 to 100 rpm.

4. The shrimp high-level pond nitrification floc cultivation system according to claim 1, characterized in that, The central controller uses a PLC or industrial computer and has a built-in intelligent breeding control model.

5. The shrimp high-level pond nitrification floc cultivation system according to claim 1, characterized in that, The monitoring and control unit also includes an automatic nutrient dosing device, which is connected to the central controller. The automatic nutrient dosing device includes storage tanks for storing carbon sources, nitrogen sources, alkalinity supplements and trace elements, as well as a precision metering pump, and is responsible for automatically adding cultivation materials according to a preset formula.

6. The shrimp high-level pond nitrification floc cultivation system according to claim 1, characterized in that, The mixing zone of the culture tank is equipped with a drain valve at the conical bottom end, which is used to periodically drain the inert sludge that may accumulate at the bottom of the tank.

7. A control method for a shrimp high-level pond nitrification floc cultivation system, applied to the shrimp high-level pond nitrification floc cultivation system according to any one of claims 1-6, characterized in that, Specifically, the following steps are included: The system is initialized by injecting pretreated water with a salinity matching that of the shrimp high-level culture pond into the culture tank, introducing nitrifying bacteria, adding suspended packing material, starting the Roots blower to aerate the microporous aeration discs and the low-speed submersible mixer to stir. When the cultivation mode is activated, the central controller controls the automatic nutrient dosing device to add carbon source, nitrogen source and alkalinity supplement according to the preset nitrifying bacteria culture medium formula, based on the ammonia nitrogen concentration and pH value fed back by the first sensor group, so as to carry out the expansion and biofilm formation of nitrifying bacteria. When the concentrations of ammonia nitrogen and nitrite in the incubation tank are consistently below the set threshold within a specified time period, and a biofilm is clearly visible on the packing material, it is determined that the nitrifying bacteria have matured and entered the floc maintenance mode; the specified time period is 12 to 24 hours. During the floc maintenance mode, the second sensor group receives real-time water quality data from the aquaculture pond during the target cultivation period, and dynamically calculates and controls the required amount of nitrifying flocs based on the built-in cultivation control model; the real-time water quality data includes real-time ammonia nitrogen data and real-time nitrite data. The central controller controls the pumping frequency and running time of the discharge pump based on the calculated amount of nitrified flocs added, so as to accurately add the nitrified floc suspension in the culture tank to the shrimp high-level culture pond. Based on real-time water quality data from shrimp high-level culture ponds, the nutrient addition strategy in the culture tanks is adjusted in reverse to simulate the pollution load of the culture ponds and maintain the activity and adaptability of the nitrifying flocculent bacteria community in the culture tanks.

8. The control method for a high-level shrimp nitrification floc cultivation system according to claim 1, characterized in that, The method dynamically calculates and controls the required amount of nitrified flocs based on a built-in cultivation control model, specifically including the following steps: Historical water quality data of shrimp high-level aquaculture ponds were extracted from water quality treatment logs, and a pollution assessment system for shrimp high-level aquaculture based on different water quality levels was obtained from big data networks. The principal component analysis algorithm is used to train and analyze historical water quality data and pollution assessment system, and a water quality assessment model is constructed. Real-time water quality data is then imported into the water quality assessment model for pollution assessment. A dynamic model of ammonia nitrogen and nitrite was introduced to obtain key situational variables of real-time water quality changes observed by the second sensor group in the spatiotemporal dimension. Based on the ammonia nitrogen-nitrite kinetic model, the key situation variables are analyzed and characterized by discrete situation of continuous water quality deterioration. Real-time water quality situation state function is constructed, and each real-time water quality situation state function is organized and connected in an adjacency manner according to the target cultivation time segment to generate real-time water quality situation evolution chain. The water quality sensing and monitoring strategy of the second sensor group is obtained. Based on the water quality sensing and monitoring strategy, the water quality monitoring stage of the second sensor group serving the current shrimp high-level aquaculture pond is divided into several sub-water quality sensing stages. The instantaneous incremental algorithm is introduced to calculate the state change of each sub-water quality sensing stage in the real-time water quality state evolution chain, and multiple single-step state increments are obtained. Based on the single-step situation increment, an evolution weight factor is assigned to each different sub-water quality sensing stage using a real-time time decay function. The corresponding continuous deterioration of water quality in each water quality sensing stage on the real-time water quality situation evolution chain is accumulated and calculated according to the evolution weight factor, and the accumulated result is output. During the assessment process, the real-time water quality status indicators are updated based on the cumulative results, and a real-time water quality pollution status assessment value is generated. Based on the pollution status assessment value, a dynamic dosing plan for nitrifying flocs is decided, and the required amount of nitrifying flocs to be added is calculated based on the dynamic dosing plan.

9. A method for the cyclical application of a high-level shrimp nitrification floc cultivation system, comprising using the high-level shrimp nitrification floc cultivation system described in claims 1-6 and applying the control method described in claims 7-8, characterized in that... Specifically, the following steps are included: Early stage of aquaculture: Mature nitrified flocs are independently cultivated in the rearing unit; when the ammonia nitrogen concentration in the high-level shrimp culture pond begins to rise, intermittent low-flow addition is initiated, with the addition amount being 0.1% to 0.5% of the culture pond water. Mid-stage aquaculture: As the feeding amount increases, start a continuous or high-frequency feeding mode, and adjust the feeding amount in real time according to water quality monitoring data. The feeding amount is 0.5% to 2.0% of the aquaculture pond water to control ammonia nitrogen below 1.0 mg / L and nitrite below 0.5 mg / L. In the later stages of aquaculture: strengthen the addition of nitrifying flocs and aeration to cope with high pollution loads. The addition amount is 1.0% to 3.0% of the aquaculture pond water to suppress peak levels of ammonia nitrogen and nitrite. Wastewater treatment stage: Wastewater discharged from the aquaculture pond is introduced into the cultivation unit for treatment. Part of the supernatant after treatment is reused, while the flocculent sludge rich in nitrifying bacteria is returned to the aquaculture pond or used as nitrifying bacteria for the next batch of cultivation.

10. A method for the cyclical application of a high-level shrimp nitrification floc cultivation system according to claim 1, characterized in that, It also includes the following steps: The carbon-nitrogen ratio of nitrified flocs was adjusted to 4:1 to 12:1 depending on the different stages of high-level shrimp farming. Adjust the feeding frequency according to changes in aquaculture water temperature; for every 5°C increase in water temperature, increase the feeding frequency by 20% to 30%. Regularly replenish the culture tank with trace elements, including compounds of iron, calcium, magnesium, and molybdenum; Establish a water quality database covering the entire aquaculture process to optimize control parameters for subsequent aquaculture cycles.

Images