A method and system for controlling the biochemical cycle balance in marine aquaculture

Abstract

This invention discloses a method and system for controlling the biochemical cycle balance in marine aquaculture, belonging to the field of control and regulation technology. The invention includes: a statistical end for continuously recording daily water temperature, aquaculture depth, number of aquaculture days, feed amount, and total pollutant content during the aquaculture process; a detection end for sampling fish to detect their oxygen consumption rate; a correlation analysis end for analyzing the numerical correlation between the fish's oxygen consumption rate and water temperature, aquaculture depth, and number of aquaculture days, and verifying this correlation using feed amount and total pollutant content; and a control end for acquiring the daily water temperature, aquaculture depth, and number of aquaculture days, and substituting these values ​​into the aforementioned numerical correlation to derive the daily oxygen consumption rate of the fish; and calculating the pumping power of the aerator based on the daily oxygen consumption rate of the fish to ensure that the nitrogen pollutant concentration in the aquaculture water meets the standards. This invention effectively maintains the biochemical balance during the aquaculture process.

Description

Technical Field

[0001] This invention belongs to the field of control and regulation technology, and in particular relates to a method and system for controlling the balance of biochemical cycles in marine aquaculture. Background Technology

[0002] Marine aquaculture, as an important source of high-quality animal protein, has developed rapidly worldwide. However, with the continuous expansion of aquaculture scale and the increase in intensification, traditional marine aquaculture models, especially factory-style recirculating aquaculture systems, face severe challenges. The core issue lies in how to maintain the complex biochemical balance in the aquaculture water body in a long-term and stable manner.

[0003] In the control of biochemical cycle balance in aquaculture, changes in fish oxygen consumption have a significant, dynamic, complex, and crucial impact on biochemical purification. In marine aquaculture, changes in fish oxygen consumption (respiratory oxygen consumption) are not isolated variables, but rather the "metronome" and "stress source" of the entire system's biochemical reactions. However, the rate of fish oxygen consumption is related to numerous factors and is difficult to measure in real time, making it difficult to grasp its impact on the biochemical cycle balance of marine aquaculture. Summary of the Invention

[0004] The purpose of this invention is to provide a method and system for controlling the biochemical cycle balance in marine aquaculture, which effectively maintains the biochemical balance during the aquaculture process by accurately and continuously predicting the oxygen consumption rate during the fish farming process.

[0005] To solve the above-mentioned technical problems, the present invention is achieved through the following technical solution: This invention provides a method for controlling the biochemical cycle balance in marine aquaculture, comprising: Continuously record daily water temperature, water depth, number of days, amount of feed, and total amount of pollutants during the aquaculture process, and sample some fish to test their oxygen consumption rate; The numerical correlation between the oxygen consumption rate of fish and water temperature, culture depth, and culture days was analyzed and verified by feeding amount and total pollutant amount; The water temperature, water depth, and number of days of rearing for the day are obtained, and the oxygen consumption rate of the fish for the day is obtained by substituting these values ​​into the correlation relationship. The pumping power of the aerator is calculated based on the oxygen consumption rate of the fish on that day, so that the concentration of nitrogen pollutants in the aquaculture water meets the standard.

[0006] This invention also discloses a method for controlling the biochemical cycle balance in marine aquaculture, characterized by comprising: Receives the pumping power of the aerator; Air is pumped into the aquaculture pond according to the pumping power of the aerator.

[0007] This invention also discloses a marine aquaculture biochemical cycle balance control system, comprising, The statistics terminal is used to continuously record daily water temperature, water depth, number of days, amount of feed, and total amount of pollutants during the aquaculture process. The detection end is used to sample a portion of the fish to detect their oxygen consumption rate. The correlation analysis terminal is used to analyze the numerical correlation between the oxygen consumption rate of fish and water temperature, culture depth, and culture days, and to verify it through feeding amount and total pollutant amount; The control terminal is used to obtain the water temperature, aquaculture depth, and number of aquaculture days of the day, and substitute these values ​​into the correlation relationship to obtain the oxygen consumption rate of the fish on that day. The pumping power of the aerator is calculated based on the oxygen consumption rate of the fish on that day, so that the concentration of nitrogen pollutants in the aquaculture water meets the standard. Aerator, used to receive the pumping power of the aerator; Air is pumped into the aquaculture pond according to the pumping power of the aerator.

[0008] This invention performs correlation analysis on the records from the statistical and detection ends through a correlation analysis terminal, thereby obtaining reliable quantitative relationships between various types of aquaculture parameters. This enables the calculation of the daily oxygen consumption rate of fish and, based on this, the calculation of the pumping power of the aerator. Sufficient oxygen is pumped into the aquaculture water to avoid insufficient oxygen in the aquaculture water, which leads to incomplete nitrification and denitrification reactions and deterioration of the aquaculture biochemical cycle, thus improving the safety and controllability of seawater recirculating aquaculture.

[0009] Of course, any product implementing this invention does not necessarily need to achieve all of the advantages described above at the same time. Attached Figure Description

[0010] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the description of the embodiments 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 drawings can be obtained based on these drawings without creative effort.

[0011] Figure 1 This is a schematic diagram of information interaction at the functional end of a marine aquaculture biochemical cycle balance control system according to an embodiment of the present invention. Figure 2 This is a schematic diagram of the steps of the statistical terminal, detection terminal, correlation analysis terminal and control terminal in one embodiment of the present invention; Figure 3 This is a schematic diagram of the steps of an embodiment of the aerator described in this invention; Figure 4 This is a flowchart illustrating step S3 of the present invention in one embodiment; Figure 5 This is a flowchart illustrating step S33 of the present invention in one embodiment; Figure 6 This is a flowchart illustrating step S5 of the present invention in one embodiment; Figures 7 to 9 A calculation table for calculating pump power based on the oxygen consumption rate of fish.

[0012] The attached diagram lists the components represented by each number as follows: 1-Statistical end, 2-Detection end, 3-Correlation analysis end, 4-Control end, 5-Aerator. Detailed Implementation

[0013] To make the objectives, technical solutions, and advantages of this application clearer, the embodiments of this application will be described in further detail below with reference to the accompanying drawings.

[0014] It should be noted that the terms "first," "second," etc., used in this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in orders other than those illustrated or described herein. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this application as detailed in the appended claims.

[0015] The nitrogen-ammonia cycle is a core biochemical process in aquaculture systems (especially closed or semi-closed systems), directly determining water quality safety and the success or failure of aquaculture. Essentially, it utilizes microbial communities to gradually convert toxic nitrogenous waste into less toxic or harmless forms. The entire process from feed to nitrogen gas is commonly referred to as "nitrification-denitrification." Successful nitrogen-ammonia cycle purification in marine aquaculture employs a combined strategy of "reducing input at the front end (e.g., optimized feeding, use of protein skimmers), efficient conversion in the middle (powerful and stable biofilters), and thorough removal at the end (denitrification or algal absorption)." Its core lies in understanding and respecting the laws of microbial ecology, creating a stable and efficient working environment through engineering methods to convert toxic waste into harmless gases, achieving internal circulation and long-term stability of the aquaculture water. This requires continuous regulation of the biochemical cycle balance and proactive, forward-looking adjustment of key influencing factors.

[0016] Unlike terrestrial mammals, which preferentially utilize carbohydrates, fish (especially carnivorous fish) have a very low capacity to utilize carbohydrates. Fish are inefficient at producing energy through gluconeogenesis, with 40%-70% of their daily energy supply coming from protein degradation. The more dietary nitrogen (protein) ingested, the more amino acids enter the tricarboxylic acid (TCA) cycle for energy production. The carbon skeleton of amino acids, after the amino group is removed, enters the metabolic cycle, a process accompanied by extensive biological oxidation that directly consumes dissolved oxygen. After feeding, the metabolic rate of fish increases significantly; this phenomenon is called specific dynamic action (SDA). The intensity of SDA is primarily determined by protein intake. SDA caused by fat and carbohydrates is minimal. This means that the higher the nitrogen intake, the greater the additional oxygen consumption by fish to digest and process that nitrogen.

[0017] Meanwhile, fish do not need to expend energy (carbohydrates / fat) to maintain a constant body temperature. In terrestrial animals, a large amount of fat is used for heat production, but in fish, fat is mainly used as long-term energy storage. Most fish have a natural tendency towards insulin resistance. When carbohydrates in their feed increase, fish often cannot efficiently convert them into metabolic energy, but instead excrete them through feces or cause physiological stress. Therefore, the contribution of their oxidation process to total oxygen consumption fluctuates very little. In terms of energy allocation, fish follow a protein-first approach. Only when protein is extremely scarce will they utilize non-protein energy sources. Therefore, as long as there is sufficient protein (nitrogen) in the feed, fluctuations in oxygen consumption are almost entirely governed by nitrogen metabolism. Thus, because basal metabolism is relatively stable under constant temperature conditions and the proportion of non-protein substances oxidized is low, total oxygen consumption becomes a linear function of the amount of nitrogen ingested and absorbed from the feed.

[0018] Nitrification consumes a huge amount of oxygen, so it is essential to ensure sufficient dissolved oxygen (>5 mg / L) in the biofilter area. Simultaneously, the stocking density of fish in the aquaculture tanks is extremely high, and the various activities of the fish during their growth are closely related to feed consumption. Therefore, there is a strong positive correlation between feed consumption and oxygen consumption, and this relationship is a key foundation for water quality management and system design in high-density recirculating marine aquaculture.

[0019] Please see Figure 1 and Figure 2 As shown, the present invention provides a marine aquaculture biochemical cycle balance control system, which, in terms of functional units, includes a statistical terminal 1, a detection terminal 2, a correlation analysis terminal 3, a control terminal 4, and an aerator 5.

[0020] Fish primarily consume oxygen to maintain basal and digestive metabolism (also known as "thermal metabolic rate"). Water temperature directly affects the metabolic rate and digestive enzyme activity of fish. Higher water temperatures result in faster basal and digestive metabolic rates and greater oxygen consumption. For example, for every 10°C increase in water temperature, the metabolic rate (oxygen consumption) of fish increases approximately 2-3 times. Simultaneously, as the rearing period increases, the oxygen consumption per unit body weight is higher in juvenile fish than in adult fish. Therefore, even with a small total feed consumption, the oxygen demand per unit biomass can be very high when raising juvenile fish. To fully consider influencing factors, water temperature, rearing depth, and number of rearing days are used as core influencing factors. Statistical terminal 1 is used to continuously record daily water temperature, rearing depth, number of rearing days, feed amount, and total pollutant levels during the rearing process in step S1. Step S2 can then be performed to sample fish to test the daily oxygen consumption rate. Detection terminal 2 can also perform step S2 to sample fish to test the oxygen consumption rate.

[0021] Please see Figure 4 As shown, oxygen consumption is strongly correlated with feed intake. Knowing the feed amount, oxygen consumption can be estimated using empirical coefficients.

[0022] Formula: Fish oxygen consumption ≈ Feed intake × Feed oxygen consumption coefficient For example, feeding 1 kg of feed requires approximately 0.25 - 0.35 kg of oxygen (the exact coefficient varies depending on the protein content of the feed and the fish species). This is an important basis for designing the load of the aeration system. However, this coefficient needs to be calculated based on actual conditions to obtain an accurate and usable data. In view of this, in this scheme, the correlation analysis terminal 3 performs step S3 to analyze the numerical correlation between the oxygen consumption rate of fish and water temperature, culture depth, and culture days, and verifies it through the amount of feed and the total amount of pollutants.

[0023] Please see Figure 4As shown, to analyze the relationship between fish oxygen consumption rate and water temperature, culture depth, and number of culture days, step S31 is first performed to combine the daily water temperature, culture depth, number of culture days, and fish oxygen consumption rate as the culture parameter combination for that culture day. Then, based on the culture parameter combination for each culture day, culture days with consistent culture states are grouped into the same culture period. Specifically, multiple culture days are selected at intervals as node culture days during the culture process. In step S32, several culture days are selected as node culture days during the larval, juvenile, young, and adult stages of the culture process. Next, step S33 is performed to calculate the culture state dispersion between each node culture day and other culture days based on the culture parameter combination for each culture day. Specifically, this involves assigning type weighting coefficients to water temperature, culture depth, culture days, and fish oxygen consumption rate. Specifically, step S331 calculates the difference between the maximum and minimum values ​​of these parameters for each culture day recorded during the culture process, and uses the reciprocal of each difference as the type weighting coefficient for each parameter. Next, step S332 calculates the weighted average of these differences between culture days based on the corresponding type weighting coefficients. This average is then used as the culture state dispersion between culture days. The dispersion of the culture state between each culture day and other culture days is calculated. In this calculation, water temperature is expressed in degrees Celsius, culture depth in meters, and oxygen consumption rate in g / kg / day. This process combines staged sampling with adaptive weighting preprocessing and feature engineering methods. By intelligently cleaning and grouping complex, high-dimensional aquaculture time-series data, a solid foundation is laid for building a high-precision oxygen consumption rate prediction model, which is a key step in realizing refined and intelligent management of marine aquaculture.

[0024] To classify farming days with similar farming conditions into the same farming period, step S34 can be executed next to classify the other farming days besides the farming day of each node into the same farming period with the farming day of the node with the smallest dispersion of farming conditions.

[0025] To verify this, step S35 can be executed next, calculating the difference between the feed amount and the total amount of pollutants for each farming day within each farming period, and determining if it shows a linear relationship with the oxygen consumption rate of the fish on the corresponding farming day. If so, step S36 can be executed next, statistically analyzing the range of water temperature, farming depth, and number of farming days within each farming period as a reference range, and obtaining the linear relationship between the difference between the feed amount and the total amount of pollutants for this reference range and the oxygen consumption rate of the fish. This step is crucial in moving from data analysis to an applicable model. It simplifies complex biochemical processes under specific stable conditions into processes that can be expressed by engineering formulas. By establishing a pairing of "environmental window - linear model," a direct, reliable, and easily embeddable algorithmic kernel for subsequent model-based predictive control is provided for subsequent implementation. This allows aquaculture managers to shift from empirical, lagging responses to model-based, forward-looking, and precise control.

[0026] If not, the aquaculture period is redefined until validation is passed. This requires reselecting the node aquaculture day and then re-dividing the period accordingly. Specifically, step S37 can be executed first to find the consecutive aquaculture days with the longest duration within each aquaculture period as the aquaculture sub-period. Next, step S38 can be executed to select an aquaculture day within the aquaculture sub-period as the reselected node aquaculture day. After reselecting the node aquaculture day, steps S33 to S35 can be executed to re-divide the aquaculture period according to the reselected node aquaculture day until, within each re-divided aquaculture period, the difference between the feed amount and the total amount of pollutants on each aquaculture day is linearly related to the oxygen consumption rate of the fish on the corresponding aquaculture day. The iterative process in this functional module is the core embodiment of the balance control characteristics of this scheme. This functional module is not a static, one-time analysis, but a dynamic system with self-evaluation, self-adjustment, and self-improvement capabilities. This ensures that the final output is not a barely fitted model, but a series of highly reliable "period-model" pairs that have undergone rigorous internal consistency checks, providing a solid algorithmic foundation for subsequent precise control. This design enables the system to adapt to the unavoidable complexity and volatility in the aquaculture process, which is a key guarantee for achieving reliable autonomous control.

[0027] Steps S31 to S38 described above implement an algorithm for analyzing the relationship between oxygen consumption rates based on aquaculture stages. During operation, the algorithm first intelligently divides the aquaculture stages, automatically dividing the entire aquaculture cycle into multiple aquaculture periods with similar environmental characteristics by calculating the dispersion of aquaculture states. These periods correspond to different aquaculture development stages (larvae, juveniles, young fish, and adults). Next, it dynamically calculates weight coefficients based on the numerical ranges of parameters such as water temperature, aquaculture depth, number of aquaculture days, and oxygen consumption rate within each aquaculture period. This calculation is used to accurately assess the similarity between aquaculture states. Then, it performs linear relationship verification and iterative optimization. Within each divided aquaculture period, it verifies whether a linear relationship exists between the difference between the feed amount and the total amount of pollutants and the oxygen consumption rate. If a linear relationship is not satisfied, the algorithm automatically finds the longest continuous aquaculture day sequence, reselects nodes, and iteratively divides the aquaculture period until a stable linear relationship is established within each period. Finally, we modeled the relationships between aquaculture characteristics, establishing clear reference type ranges (water temperature range, water depth range, number of days range) and corresponding linear relationship models for each final aquaculture period, providing a scientific basis for subsequent precise control.

[0028] This solution, through intelligent time period segmentation and relationship verification, achieves a detailed characterization of the relationship between oxygen consumption rate and environmental factors in complex aquaculture processes, providing a reliable data analysis and modeling foundation for the biochemical cycle balance control of marine aquaculture.

[0029] Please continue reading. Figure 1 and Figure 2As shown, after deriving a reliable formula for calculating the oxygen consumption rate, the control terminal 4 can then execute step S4 to obtain the water temperature, aquaculture depth, and number of aquaculture days for the current day, and execute step S5 to substitute these values ​​into the aforementioned correlation to obtain the oxygen consumption rate of the fish for that day. Specifically, step S51 can first be executed to match the corresponding reference type range based on the water temperature, aquaculture depth, and number of aquaculture days for the current day. Next, step S52 can be executed to obtain the feeding amount and total pollutant amount of the previous aquaculture day, and the difference between them can be substituted into the linear relationship between the difference between the feeding amount and the total pollutant amount corresponding to the reference type range and the fish's oxygen consumption rate. The result obtained is the fish's oxygen consumption rate for the current day. This functional module achieves daily rolling prediction and forward-looking control of the oxygen consumption rate through a delayed feedback control logic of yesterday's input → today's prediction → today's adjustment. In this process, the input data are all easily obtainable or recorded routine management data, such as yesterday's feeding amount, yesterday's water quality value, and today's environmental readings. There is no need to measure the fish's condition in real time, which greatly improves the feasibility and practicality of the prediction. Furthermore, the critical time in aquaculture ecosystems has a delayed characteristic; the impact of feeding (organic matter input) on the peak dissolved oxygen level in the water body is delayed. Using yesterday's load data to predict today's demand is an engineering application of this lag effect, enabling early warning control one step ahead.

[0030] Please continue reading. Figure 1 and Figure 2 As shown, after calculating the oxygen consumption rate of the fish, the next step is to execute step S6 to calculate the pumping power of the aerator based on the oxygen consumption rate of the fish on that day, so that the concentration of nitrogen pollutants in the aquaculture water meets the standard. The specific calculation method can be obtained through... Figures 7 to 9 The calculation table is used to obtain the results.

[0031] Please see Figure 1 and 3 As shown, after calculating the pumping power of aerator 5, step S051 can be executed to receive the pumping power of the aerator. Finally, step S052 can be executed to pump air into the aquaculture pond according to the pumping power of the aerator.

[0032] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of apparatus, systems, methods, and computer program products according to various embodiments of this application. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of an instruction containing one or more executable instructions for implementing a specified logical function. In some alternative implementations, the functions marked in the blocks may occur in a different order than those shown in the drawings. For example, two consecutive blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved.

[0033] It should also be noted that each block in the block diagram and / or flowchart, as well as combinations of blocks in the block diagram and / or flowchart, can be implemented using hardware that performs the corresponding function or action, such as circuits or ASICs (Application Specific Integrated Circuits), or using a combination of hardware and software, such as firmware.

[0034] Although the invention has been described herein in conjunction with various embodiments, those skilled in the art will understand and implement other variations of the disclosed embodiments by reviewing the accompanying drawings, disclosure, and appended claims in carrying out the claimed invention. In the claims, the word "comprising" does not exclude other components or steps, and "a" or "an" does not exclude a plurality. A single processor or other unit can implement several functions listed in the claims. While different dependent claims may recite certain measures, this does not mean that these measures cannot be combined to produce good results.

[0035] The various embodiments of this application have been described above. These descriptions are exemplary and not exhaustive, nor are they limited to the disclosed embodiments. Many modifications and variations will be apparent to those skilled in the art without departing from the scope of the described embodiments. The terminology used herein is chosen to best explain the principles, practical application, or improvement of the technology in the market, or to enable others skilled in the art to understand the embodiments disclosed herein.

Claims

1. A method for controlling the biochemical cycle balance of mariculture, comprising, continuously recording the water temperature, water depth, days of cultivation, feeding amount, and total amount of pollutants on each day of cultivation, and extracting a portion of the fish to detect the oxygen consumption rate; characterized in that analyzing the numerical correlation between the oxygen consumption rate of the fish and the water temperature, water depth, and days of cultivation, and verifying the correlation through the feeding amount and total amount of pollutants; obtaining the water temperature, water depth, and days of cultivation on the current day, and substituting the values into the numerical correlation to obtain the oxygen consumption rate of the fish on the current day; calculating the oxygen consumption rate of the fish on the current day to obtain the pump power of the aerator, so that the concentration of nitrogen-containing pollutants in the cultivation water body meets the standard.

2. The method of claim 1, wherein, The step of analyzing the relationship between the oxygen consumption rate of the fish and the water temperature, water depth, and days of cultivation, and verifying the relationship through the feeding amount and total amount of pollutants, comprises, combining the water temperature, water depth, days of cultivation, and oxygen consumption rate of the fish on each day of cultivation as the cultivation parameter combination of the cultivation day; dividing the cultivation days with consistent cultivation states into the same cultivation period according to the cultivation parameter combination of each cultivation day; in each cultivation period, calculating the difference between the feeding amount and the total amount of pollutants of each cultivation day, and whether the difference is linearly related to the oxygen consumption rate of the fish on the corresponding cultivation day; if not, re-divide the cultivation period until the verification is passed; if yes, in each cultivation period, the range of water temperature, water depth, and days of cultivation of all cultivation days included in the cultivation period is taken as the reference type range, and the linear relationship between the difference between the feeding amount and the total amount of pollutants corresponding to the reference type range and the oxygen consumption rate of the fish is obtained.

3. The method of claim 2, wherein, The step of dividing the cultivation days with consistent cultivation states into the same cultivation period according to the cultivation parameter combination of each cultivation day, comprises, intermittently extracting a plurality of cultivation days as node cultivation days during the cultivation process; calculating the cultivation state dispersion degree between each node cultivation day and other cultivation days according to the cultivation parameter combination of each cultivation day; dividing the other cultivation days except each node cultivation day into the same cultivation period as the node cultivation day with the smallest cultivation state dispersion degree.

4. The method of claim 3, wherein, The step of intermittently extracting a plurality of cultivation days as node cultivation days during the cultivation process, comprises, extracting a plurality of cultivation days as node cultivation days during the larva stage, juvenile stage, juvenile fish stage, and adult fish stage of the cultivation process.

5. The method of claim 3, wherein, The step of calculating the cultivation state dispersion degree between each node cultivation day and other cultivation days according to the cultivation parameter combination of each cultivation day, comprises, assigning type weight coefficients to the water temperature, water depth, days of cultivation, and oxygen consumption rate of the fish; 6. The method of claim 5, wherein, calculating the weighted mean of the numerical difference between the water temperature, water depth, days of cultivation, and oxygen consumption rate of the fish between cultivation days according to the corresponding type weight coefficients as the cultivation state dispersion degree between cultivation days, and calculating the cultivation state dispersion degree between each node cultivation day and other cultivation days. The step of assigning type weight coefficients to the water temperature, water depth, days of cultivation, and oxygen consumption rate of the fish, comprises, Calculate the difference between the maximum and minimum values ​​of water temperature, water depth, number of days, and oxygen consumption rate of fish for each day of aquaculture recorded during the aquaculture process, and use the reciprocal of the corresponding difference as the type weighting coefficients for water temperature, water depth, number of days, and oxygen consumption rate of fish, respectively.

7. The method of claim 2, wherein, The step of re-dividing the breeding period until it passes verification. include, Within each breeding period, identify the consecutive breeding days with the longest duration as the breeding sub-period; Select one breeding day within the breeding sub-period as the reselected node breeding day; The breeding period is redefined according to the newly selected breeding date. Within each redefined breeding period, the difference between the amount of feed and the total amount of pollutants on each breeding day is linearly related to the oxygen consumption rate of the fish on the corresponding breeding day.

8. The method of claim 2, wherein, The step of substituting the numerical correlation to obtain the oxygen consumption rate of the fish on that day includes, Based on the water temperature, aquaculture depth, and number of days of aquaculture on that day, a corresponding reference type range is obtained; Obtain the amount of feed and the total amount of pollutants for the previous breeding day. Substitute the difference between the two into the linear relationship between the difference between the amount of feed and the total amount of pollutants for the corresponding reference type range and the oxygen consumption rate of the fish. The result is taken as the oxygen consumption rate of the fish on the current day.

9. A method for controlling a biochemical cycle balance in a marine culture, characterized by, include, The pumping power of the aerator in the marine aquaculture biochemical cycle balance control method according to any one of claims 1 to 8 is received; Air is pumped into the aquaculture pond according to the pumping power of the aerator.

10. A sea farming biochemical cycle balance control system, characterized by, include, The statistics terminal is used to continuously record daily water temperature, water depth, number of days, amount of feed, and total amount of pollutants during the aquaculture process. The detection end is used to sample a portion of the fish to detect their oxygen consumption rate. The correlation analysis terminal is used to analyze the numerical correlation between the oxygen consumption rate of fish and water temperature, culture depth, and culture days, and to verify it through feeding amount and total pollutant amount; The control terminal is used to obtain the water temperature, aquaculture depth, and number of aquaculture days of the day, and substitute these values ​​into the correlation relationship to obtain the oxygen consumption rate of the fish on that day. The pumping power of the aerator is calculated based on the oxygen consumption rate of the fish on that day, so that the concentration of nitrogen pollutants in the aquaculture water meets the standard. Aerator, used to receive the pumping power of the aerator; Air is pumped into the aquaculture pond according to the pumping power of the aerator.

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