A method, apparatus and device for planning a multi-trophic aquaculture scheme

Abstract

The application provides a method, device and equipment for planning a multi-trophic aquaculture scheme. The method for planning a multi-trophic aquaculture scheme comprises the following steps: constructing a shrimp aquaculture dynamics model, a sea urchin aquaculture dynamics model, a shellfish aquaculture dynamics model, a microalgae aquaculture dynamics model and a kelp aquaculture dynamics model respectively, and integrating an overall dynamics model of a multi-trophic aquaculture system according to the above models; inputting an initially set aquaculture scheme into the overall dynamics model, and outputting an aquaculture result in an entire aquaculture period by the overall dynamics model; the aquaculture result comprises daily yield, daily feeding amount of each type of feed, and daily nitrogen content in water; the initially set aquaculture scheme comprises a biological category of aquaculture and an initial aquaculture quantity of each biological category; and whether the aquaculture scheme meets preset output indexes and preset ecological indexes is evaluated according to the aquaculture result, and the aquaculture scheme is adjusted if the aquaculture scheme does not meet the preset output indexes and the preset ecological indexes.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of aquaculture, and in particular to a method, device and equipment for planning a multi-trophic level aquaculture scheme. BACKGROUND

[0002] In traditional marine aquaculture, single-culture mode is mainly used, such as prawn single-culture. This culture mode highly depends on artificial feeding of high-density feed into the culture water to achieve high output of prawns. However, this culture mode causes rapid accumulation of organic nitrogen and inorganic nitrogen in the culture water due to a large amount of feed residues and prawn excretions, leading to problems such as water quality deterioration, eutrophication and bottom pollution, which seriously threaten the sustainability of the culture system.

[0003] In order to solve the problems of feed residues and water pollution in the single-culture mode of traditional marine aquaculture, multi-trophic level aquaculture is widely concerned as a sustainable culture mode. This system integrates different trophic levels of organisms and utilizes the ecological synergy between species to achieve resource recycling and environmental purification. However, the models for multi-trophic level aquaculture systems are mostly static or semi-dynamic models, which are difficult to comprehensively simulate the dynamic interaction of multiple species throughout the culture cycle and cannot provide effective theoretical basis for culture production. SUMMARY

[0004] Therefore, the present application provides a method, device and equipment for planning a multi-trophic level aquaculture scheme, which can accurately evaluate the culture structure of each organism in a multi-trophic level aquaculture system throughout the culture cycle to provide effective and accurate theoretical data for culture.

[0005] Specifically, the present application is realized by the following technical solutions:

[0006] The first aspect of the present application provides a method for planning a multi-trophic level aquaculture scheme, which comprises:

[0007] Constructing prawn culture dynamics model, sea urchin culture dynamics model, shellfish culture dynamics model, microalgae culture dynamics model and kelp culture dynamics model respectively, and integrating the overall dynamics model of the multi-trophic level aquaculture system according to the prawn culture dynamics model, the sea urchin culture dynamics model, the shellfish culture dynamics model, the microalgae culture dynamics model and the kelp culture dynamics model; the overall dynamics model is used to fit the relationship between yield, water nitrogen content, feed and excretion;

[0008] input an initial set of breeding scheme to the overall kinetics model, output the breeding result in the whole breeding cycle by the overall kinetics model; the breeding result includes daily yield, daily feeding amount of each type of feed, and daily nitrogen content in the water; the initial set of breeding scheme includes the biological category of breeding, and the initial breeding quantity of each biological category;

[0009] evaluate whether the breeding scheme meets the preset output indicators and the preset ecological indicators according to the breeding result, and adjust the breeding scheme if it does not meet the preset output indicators and the preset ecological indicators.

[0010] The second aspect of the application provides a device for planning a multi-trophic level breeding scheme, the device comprising a construction module, a calculation module, and an evaluation module; wherein,

[0011] The construction module is configured to construct a kinetics model for prawn breeding, a kinetics model for sea urchin breeding, a kinetics model for shellfish breeding, a kinetics model for microalgae breeding, and a kinetics model for kelp breeding, and integrate an overall kinetics model of a multi-trophic level breeding system according to the kinetics model for prawn breeding, the kinetics model for sea urchin breeding, the kinetics model for shellfish breeding, the kinetics model for microalgae breeding, and the kinetics model for kelp breeding; the overall kinetics model is configured to fit the relationship among yield, water nitrogen content, feed, and excretion.

[0012] The calculation module is configured to input an initial set of breeding scheme to the overall kinetics model, output the breeding result in the whole breeding cycle by the overall kinetics model; the breeding result includes daily yield, daily feeding amount of each type of feed, and daily nitrogen content in the water; the initial set of breeding scheme includes the biological category of breeding, and the initial breeding quantity of each biological category.

[0013] The evaluation module is configured to evaluate whether the breeding scheme meets the preset output indicators and the preset ecological indicators according to the breeding result, and adjust the breeding scheme if it does not meet the preset output indicators and the preset ecological indicators.

[0014] The third aspect of the application provides a device for planning a multi-trophic level breeding scheme, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor executes the program to implement the steps of any of the methods provided in the first aspect of the application.

[0015] The method, device and equipment for planning a multi-trophic aquaculture scheme provided by the present application realize dynamic simulation and optimization of biological yield, feed feeding amount and water body nitrogen content in a multi-trophic aquaculture system by constructing prawn aquaculture dynamics models, sea urchin aquaculture dynamics models, shellfish aquaculture dynamics models, microalgae aquaculture dynamics models and kelp aquaculture dynamics models, and integrating the prawn aquaculture dynamics models, the sea urchin aquaculture dynamics models, the shellfish aquaculture dynamics models, the microalgae aquaculture dynamics models and the kelp aquaculture dynamics models to construct an overall dynamics model. Through the method, the growth characteristics, feed conversion efficiency and nitrogen cycle interaction of each organism can be fully utilized to accurately predict economic output and ecological impact in the entire aquaculture cycle. Then, according to the final prediction result, it is determined whether the initially set aquaculture scheme meets the preset output indicators and ecological indicators. In this way, based on the overall dynamics model, the initially set aquaculture scheme can be dynamically adjusted to effectively improve the yield of each organism, optimize feed utilization and maintain the ecological balance of the aquaculture water body, thereby avoiding economic losses and environmental pollution caused by blind investment and providing efficient and reliable decision support for scientific planning of multi-trophic aquaculture. BRIEF DESCRIPTION OF DRAWINGS

[0016] Figure 1 A flowchart of the method embodiment one for planning a multi-trophic aquaculture scheme provided by the present application is shown in FIG. 1.

[0017] Figure 2 A schematic diagram of the overall dynamics model shown in an example embodiment of the present application is shown in FIG. 2.

[0018] Figure 3 A schematic diagram of the device embodiment two for planning a multi-trophic aquaculture scheme provided by the present application is shown in FIG. 3.

[0019] Figure 4 A hardware structure diagram of the equipment for planning a multi-trophic aquaculture scheme shown in an example embodiment of the present application is shown in FIG. 4. DETAILED DESCRIPTION

[0020] The example embodiments will be described in detail herein with reference to the accompanying drawings. When the following description refers to the accompanying drawings, the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the following example embodiments are not intended to represent all implementations consistent with the present application.

[0021] The terminology used in the present application is merely for the purpose of describing particular embodiments and is not intended to limit the present application. As used in the present application, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms "and / or," as used herein, refer to and encompass any or all possible combinations of one or more of the associated listed items.

[0022] It should be understood that, although the terms first, second, third, etc. can be employed in this application to describe various information, the information is not to be limited to these terms. These terms are only used to distinguish one category of information from another. For example, without departing from the scope of the application, the first information can also be referred to as the second information, and similarly, the second information can also be referred to as the first information. Depending on the context, the word "if' as used herein can be interpreted to mean "when" or "in response to determining".

[0023] The specific embodiments are given below to introduce the technical solutions of the present application in detail.

[0024] Figure 1 The flow chart of the method embodiment one provided by the present application for planning a multi-trophic aquaculture scheme is shown in the following table. Figure 1 The method provided by the present application can include:

[0025] S101, respectively constructing a prawn aquaculture dynamics model, a sea urchin aquaculture dynamics model, a shellfish aquaculture dynamics model, a microalgae aquaculture dynamics model and a kelp aquaculture dynamics model, and integrating the overall dynamics model of the multi-trophic aquaculture system according to the prawn aquaculture dynamics model, the sea urchin aquaculture dynamics model, the shellfish aquaculture dynamics model, the microalgae aquaculture dynamics model and the kelp aquaculture dynamics model.

[0026] It should be noted that the multi-trophic aquaculture scheme provided by the present application integrates the prawn aquaculture dynamics model, the sea urchin aquaculture dynamics model, the shellfish aquaculture dynamics model, the microalgae aquaculture dynamics model and the kelp aquaculture dynamics model to construct an overall dynamics model, and uses the overall dynamics model to optimize the output and ecological balance in the multi-trophic aquaculture system. The scheme uses the growth, feed conversion and nitrogen cycle characteristics of each species to achieve multi-trophic co-culture.

[0027] Further, the following describes each sub-model in the overall dynamics model provided by the present application:

[0028] (1) Prawn dynamics model

[0029] Specifically, the prawn dynamics model is used to fit the dynamic changes of prawn yield, water body nitrogen content and prawn feed feeding amount in the prawn aquaculture process.

[0030] It should be noted that the prawn aquaculture dynamics model can be specifically used to calculate the number of prawns on the day, the individual biomass of prawns on the day, the initial prawn feed feeding amount on the day, the prawn feed feeding amount on the day, the prawn sediment nitrogen content on the day and the prawn sediment nitrogen content on the day.

[0031] Specifically, in the prawn cultivation dynamics model, for each day in the entire cultivation period, the number of prawns on the day can be calculated according to the number of prawns on the previous day and a preset prawn mortality rate. Specifically, the number of prawns on the day can be calculated according to the following formula:

[0032] ;

[0033] ;

[0034] wherein, is the number of prawns on the day; is the number of prawns on the day, is the number of prawn deaths on the day; is the number of prawn deaths on the day; is a prawn mortality rate, indicating the proportion of prawn deaths per day.

[0035] As can be seen from the above formula, in this step, the number of prawn deaths on the previous day is first calculated based on the number of prawns on the previous day and a preset prawn mortality rate, and then the number of prawns on the day is calculated according to the number of prawn deaths on the previous day and the number of prawns on the previous day.

[0036] Further, in the prawn cultivation dynamics model, the individual biomass of prawns on the day can also be calculated according to the individual biomass of prawns on the previous day and a preset growth coefficient. Specifically, the individual biomass of prawns on the day can be calculated according to the following formula:

[0037] ;

[0038] wherein, is the individual biomass of prawns on the day; is the individual biomass of prawns on the day; is the individual biomass of prawns on the day; is a prawn growth coefficient, indicating the daily growth rate of the individual biomass of prawns; is a time step, is one day.

[0039] Further, in the prawn cultivation dynamics model, the yield of prawns on the day can also be determined according to the number of prawns on the day and the individual biomass of prawns on the day, and the initial prawn feed feeding amount on the day can be determined according to the yield of prawns on the day and a preset prawn daily feeding rate. Specifically, the yield of prawns on the day and the initial prawn feed feeding amount on the day can be determined according to the following formula:

[0040] ;

[0041] ​​​;

[0042] wherein, is the shrimp yield on the day; is the shrimp quantity on the day; is the shrimp individual biomass on the day; is the shrimp quantity on the day; is the shrimp individual biomass on the day; is the initial shrimp feed feeding amount on the day; is the shrimp daily feeding rate. Further, in the shrimp cultivation kinetics model, the shrimp feed feeding amount on the day can also be determined according to the initial shrimp feed feeding amount on the day and the total amount of sea urchin excretion on the day, wherein the total amount of sea urchin excretion is determined based on the sea urchin cultivation kinetics model. Specifically, the shrimp feed feeding amount on the day can be determined according to the following formula:

[0043] ;

[0044] wherein, is the shrimp feed feeding amount on the day;

[0045] is the initial shrimp feed feeding amount on the day; is the influence coefficient of sea urchin excretion on feed feeding, is the total amount of sea urchin excretion on the day. It should be noted that the method for determining the total amount of sea urchin excretion will be described in detail in the following examples, and will not be repeated here. Further, in the shrimp cultivation kinetics model, the shrimp sediment nitrogen content on the day can also be determined according to the shrimp feed feeding amount on the day, and the preset feeding residual rate and the preset feeding nitrogen content. Specifically, the shrimp sediment nitrogen content on the day can be determined according to the following formula: ;

[0046] wherein, is the shrimp sediment nitrogen content on the day;

[0047] is the preset feeding residual rate, indicating the proportion of the shrimp feed that is not consumed; is the preset feeding nitrogen content; is the shrimp feed feeding amount on the day.

[0048]

[0049] ​​​​​​​Furthermore, in the shrimp farming kinetic model, the nitrogen content of shrimp excrement on a given day can be determined based on the shrimp yield, the preset shrimp excretion rate, and the preset nitrogen ratio in shrimp excrement. Specifically, the nitrogen content of shrimp excrement on a given day can be determined using the following formula:

[0050] ;

[0051] in, For the first Nitrogen content in excrement per day; For shrimp excretion rate; No. Daily shrimp production; This is to preset the nitrogen excretion ratio of shrimp.

[0052] It should be noted that the established shrimp dynamics model, by calculating the daily shrimp population, individual biomass, and yield, combined with mortality and growth coefficients, can predict shrimp survival and growth trends, and optimize aquaculture density management. Furthermore, by integrating initial feed input, the impact of sea urchin excrement, and actual feed input, the model can also achieve precise allocation of shrimp feed resources, reducing waste and lowering costs. In addition, the calculation of nitrogen content in sediments and excrement by this shrimp dynamics model helps assess the impact of aquaculture on the aquatic environment, guides the implementation of nitrogen pollution control measures, and thus improves the ecological sustainability of shrimp farming.

[0053] (2) Sea urchin dynamic model

[0054] Specifically, the sea urchin aquaculture kinetic model is used to fit the dynamic changes in sea urchin yield, water nitrogen content, total sea urchin excrement, and kelp feed amount during sea urchin aquaculture.

[0055] It should be noted that the sea urchin aquaculture kinetic model can be specifically used to calculate the number of sea urchins on a given day, the biomass of individual sea urchins on a given day, the initial amount of sea urchin feed on a given day, the amount of sea feed on a given day, the organic nitrogen content of sea urchin sediment on a given day, and the total amount of sea urchin excrement on a given day.

[0056] Specifically, in the sea urchin farming dynamics model, the number of sea urchins for each day within the overall farming cycle can be calculated based on the previous day's number and a preset sea urchin mortality rate. Specifically, the number of sea urchins for the day can be calculated using the following formula:

[0057] ;

[0058] ;

[0059] in, For the first The number of sea urchins per day; For the first The number of sea urchins per day For the first The number of sea urchins that died that day; The preset sea urchin mortality rate represents the proportion of sea urchins that die each day.

[0060] Referring to the formula above, it can be seen that in this step, the number of sea urchins that died the previous day is first calculated based on the number of sea urchins the previous day and the preset sea urchin mortality rate. Then, the number of sea urchins for the current day is calculated based on the number of sea urchins that died the previous day and the number of sea urchins the previous day.

[0061] Furthermore, in the sea urchin aquaculture dynamics model, the biomass of individual sea urchins for the current day can be calculated based on the previous day's biomass and a preset sea urchin growth coefficient. Specifically, the number of sea urchins for the current day can be calculated using the following formula:

[0062] ;

[0063] in, For the first Sea urchin biomass per day; The growth coefficient of sea urchins represents the daily growth rate of individual sea urchin biomass. For time step, For one day.

[0064] Furthermore, in the sea urchin aquaculture dynamics model, the daily sea urchin yield can be determined based on the daily sea urchin population and individual biomass. The initial daily sea urchin feed amount can also be determined based on the daily sea urchin yield and a preset daily feeding rate. Specifically, the daily sea urchin yield and initial sea urchin feed amount can be calculated using the following formulas:

[0065] ;

[0066] ;

[0067] in, For the first Sea urchin yield per day; For the first The number of sea urchins per day; For the first Sea urchin biomass per day; For the first The initial sea urchin feed amount per day; This represents the daily feeding rate for sea urchins.

[0068] Furthermore, in the sea urchin aquaculture kinetic model, the daily sea urchin feed amount can be determined based on the initial sea urchin feed amount and the daily kelp yield; the kelp yield is determined based on the kelp aquaculture kinetic model. Specifically, the daily sea urchin feed amount can be determined using the following formula:

[0069] ;

[0070] in, For the first The daily amount of sea urchin feed; For the first The initial sea urchin feed amount per day; The coefficient representing the impact of giant kelp production on feed intake. For the first The daily yield of giant kelp. It should be noted that the specific method for determining the yield of giant kelp will be described in detail in the following examples, and will not be repeated here.

[0071] Furthermore, in the sea urchin aquaculture kinetic model, the daily sea urchin sedimentary organic nitrogen content can be determined based on the daily sea urchin feed intake, the preset feed residue rate, and the preset residual nitrogen content. Specifically, the daily sea urchin sedimentary organic nitrogen content can be determined using the following formula:

[0072] ;

[0073] in, For the first The organic nitrogen content of sea urchin sediments; The residual rate of sea urchin feed; For the first The daily amount of sea urchin feed; This is the preset residual nitrogen content.

[0074] Furthermore, in the sea urchin aquaculture dynamics model, the total amount of sea urchin excrement for the day can be determined based on the number of sea urchins, the individual biomass, and the preset excretion rate. Specifically, the total amount of sea urchin excrement for the day can be determined using the following formula:

[0075]

[0076] in, For the first The total amount of sea urchin excrement per day; The preset sea urchin excretion rate; For the first Sea urchin yield per day.

[0077] It should be noted that the established sea urchin dynamics model can accurately predict the survival and growth state of sea urchins by calculating the number of sea urchins, individual biomass and yield per day, combined with mortality and growth coefficient, to provide basis for regulating the scale of cultivation; at the same time, the sea urchin dynamics model considers the influence of initial feed feeding amount and macroalgae yield, optimizes the feed feeding strategy, which not only meets the nutritional needs of sea urchins, but also avoids the waste of resources caused by overfeeding; in addition, by calculating the sediment organic nitrogen content and total amount of excretion, the sea urchin dynamics model can evaluate the contribution of sea urchin cultivation to water body nitrogen cycle, guide the development of environmental management measures, and reduce the risk of water eutrophication.

[0078] (3) Shellfish culture dynamics model

[0079] Specifically, the shellfish culture dynamics model is used to fit the dynamic changes of macroalgae yield and water nitrogen content in the shellfish culture process.

[0080] It should be noted that the shellfish culture dynamics model can be used to calculate the number of shellfishes, the individual biomass of shellfishes, the yield of shellfishes, the feed feeding amount of shellfishes, and the total amount of excretion organic nitrogen of shellfishes.

[0081] Specifically, in the shellfish culture dynamics model, the number of shellfishes on each day of the whole cultivation period can be calculated according to the number of shellfishes on the previous day and the preset maximum mortality of shellfishes. Specifically, the number of shellfishes on each day can be calculated according to the following formula:

[0082] ;

[0083] ;

[0084] Wherein, is the number of shellfishes on the day; is the number of shellfishes on the day, is the number of shellfishes died on the day; is the mortality of shellfishes, which represents the proportion of daily death of shellfishes. Further, according to the individual biomass of shellfishes on the previous day and the preset growth coefficient of shellfishes, the individual biomass of shellfishes on each day can also be calculated by the shellfish culture dynamics model. Specifically, the individual biomass of shellfishes on each day can be calculated according to the following formula:

[0085] ;

[0086] ;

[0087] Wherein, is the individual biomass of shellfishes on the day; ​​Daily biomass of shellfish individuals; For the first Daily biomass of shellfish individuals; The growth coefficient for shellfish represents the daily growth rate of individual shellfish biomass. For time step, For one day.

[0088] Furthermore, using a shellfish aquaculture dynamics model, the daily shellfish yield can be determined based on the daily shellfish population and individual shellfish biomass. Specifically, the daily shellfish yield can be determined using the following formula:

[0089] ;

[0090] in, For the first Daily shellfish production; For the first The number of shellfish per day; For the first Daily biomass of shellfish individuals.

[0091] Furthermore, using the shellfish aquaculture kinetic model, the daily shellfish feed amount can be determined based on the daily shellfish yield, daily microalgae yield, and a preset daily shellfish feeding rate; the daily microalgae biomass is determined based on the microalgae aquaculture kinetic model. Specifically, the daily shellfish feed amount can be determined using the following formula:

[0092] ;

[0093] in, For the first The daily amount of shellfish feed administered; This is the preset daily feeding rate for shellfish; For the first Daily shellfish production; The coefficient representing the influence of microalgal biomass on feed intake; For the first Microalgal biomass per day.

[0094] It should be noted that the microalgae biomass for that day was determined based on the aforementioned microalgae culture kinetic model, which will not be elaborated upon here.

[0095] Furthermore, using a shellfish aquaculture kinetics model, the organic nitrogen content of shellfish excrement can be determined based on the daily shellfish population, individual shellfish biomass, and a preset excretion rate. Specifically, the organic nitrogen content of shellfish excrement can be determined using the following formula:

[0096] ;

[0097] in, For the first Organic nitrogen content in shellfish excrement on a given day; The preset shellfish excretion rate; For the first The daily shellfish production, from the first Calculation of daily shellfish population and individual biomass; Nitrogen content in shellfish excrement indicates the proportion of nitrogen in shellfish excrement.

[0098] It should be noted that after establishing the shellfish aquaculture kinetic model, by calculating the daily number of shellfish, individual biomass, and yield, and combining mortality and growth coefficients, the growth and survival of shellfish can be accurately predicted, providing data support for optimizing stocking density and selecting harvesting timing. Simultaneously, by comprehensively considering the impact of shellfish yield and microalgal biomass, this shellfish aquaculture kinetic model can optimize feed input, reduce unnecessary feed input, and lower shellfish aquaculture costs. Furthermore, by calculating the organic nitrogen content in excrement using this model, the model can assess the contribution of shellfish aquaculture to nitrogen load treatment in water bodies, providing a scientific basis for water quality management and pollution prevention.

[0099] (4) Dynamic model of giant kelp cultivation

[0100] Furthermore, the kelp farming kinetic model in the overall kinetic model provided in this application is used to fit the dynamic changes in kelp yield and water nitrogen content during shellfish farming.

[0101] It should be noted that the giant kelp cultivation kinetic model can be specifically used to calculate the number of giant kelp on a given day, the biomass of individual giant kelp on a given day, the yield of giant kelp on a given day, and the total amount of organic nitrogen from giant kelp falloff on a given day.

[0102] Specifically, in the giant kelp cultivation kinetic model, the number of giant kelp for each day within the overall cultivation cycle can be calculated based on the previous day's number and a preset giant kelp mortality rate. Specifically, the number of giant kelp for the day can be calculated using the following formula:

[0103] ;

[0104] ;

[0105] in, For the first The number of giant kelp in the sky; For the first The number of giant kelp in the sky; For the first The number of giant kelp deaths in the sky; The preset giant kelp mortality rate represents the proportion of giant kelp that die each day.

[0106] Furthermore, in the giant kelp cultivation kinetic model, the daily giant kelp biomass can be calculated based on the previous day's individual kelp biomass, the current day's inorganic nitrogen content in the water, the giant kelp absorption half-saturation coefficient, and a preset giant kelp growth coefficient. Specifically, the daily giant kelp biomass can be calculated using the following formula:

[0107] ;

[0108] f in which, For the first The biomass of giant kelp per day; For the first The biomass of giant kelp per day; The preset growth coefficient for giant kelp; For the first The inorganic nitrogen content of water bodies in the day; The absorption half-saturation coefficient of giant kelp; For time step, For one day.

[0109] Furthermore, in the kinetic model of giant kelp cultivation, the daily kelp yield can be determined based on the daily kelp quantity and the daily individual kelp biomass. Specifically, the daily kelp yield can be calculated using the following formula:

[0110] ;

[0111] in, For the first Giant kelp production per day; For the first The number of giant kelp in the sky; For the first The biomass of giant kelp individuals in the sky.

[0112] Furthermore, in the kelp cultivation kinetic model, the number of dead kelp on a given day can be determined based on the current number of kelp and a preset mortality rate, and the organic nitrogen content from kelp fallout can be determined based on this daily mortality rate. Specifically, the organic nitrogen content from kelp fallout can be calculated using the following formula:

[0113] ;

[0114] in, For the first The organic nitrogen content of giant kelp falling in the sky; For the first The number of giant kelp deaths in the sky; For the first the macroalgae individual biomass of the day; the proportion of macroalgae lysis organic nitrogen.

[0115] It should be noted that the first The macroalgae death quantity of the day can be determined according to the following formula according to the first The macroalgae quantity of the day and the preset macroalgae mortality rate: The macroalgae death quantity of the day is determined according to the following formula:

[0116] ;

[0117] Among them, The macroalgae death quantity of the day is determined according to the following formula: The macroalgae death quantity of the day is determined according to the following formula: The preset macroalgae mortality rate is determined according to the following formula: The macroalgae quantity of the day is determined according to the following formula: The macroalgae quantity of the day is determined according to the following formula:

[0118] It should be noted that the macroalgae cultivation kinetics model can accurately predict the growth dynamics of macroalgae by calculating the macroalgae quantity, individual biomass and yield every day, combined with the influence of mortality rate and water inorganic nitrogen content; at the same time, the macroalgae cultivation kinetics model considers the limiting effect of water inorganic nitrogen content on the growth of macroalgae, and realizes the accurate simulation of the growth of macroalgae biomass through the dynamic adjustment of absorption half-saturation coefficient and growth coefficient; in addition, through the calculation of lysis organic nitrogen content, the macroalgae cultivation kinetics model can evaluate the contribution of macroalgae death to water nitrogen load, and provide basis for water quality management and ecological balance regulation.

[0119] (5) Microalgae cultivation kinetics model

[0120] Further, the microalgae cultivation kinetics model in the overall kinetics model provided by the present application is used to fit the dynamic change of microalgae yield and water nitrogen content in the microalgae cultivation process.

[0121] It should be noted that the microalgae cultivation kinetics model can be specifically used to calculate the microalgae quantity of the day, the microalgae individual biomass of the day, the microalgae yield of the day, and the microalgae lysis organic nitrogen content of the day.

[0122] Specifically, in the microalgae cultivation kinetics model, for each day in the overall cultivation period, the microalgae death quantity of the previous day can be calculated according to the microalgae quantity of the previous day, the preset microalgae mortality rate, and the microalgae nitrogen content, and the microalgae quantity of the day can be calculated according to the microalgae quantity of the previous day and the microalgae death quantity in the previous day. Specifically, the microalgae quantity of the day can be calculated according to the following formula:

[0123] ;

[0124] ;

[0125] in, For the first The number of microalgae per day; For the first The number of microalgae per day; For the first The number of microalgae that die each day; The preset microalgae mortality rate represents the proportion of microalgae that die each day.

[0126] Furthermore, in the microalgae cultivation kinetic model, the daily microalgae biomass can be calculated based on the previous day's individual microalgae biomass, the current day's inorganic nitrogen content in the water, the microalgae absorption half-saturation coefficient, the microalgae nitrogen assimilation efficiency, and the microalgae growth rate. Specifically, the daily microalgae biomass can be calculated using the following formula:

[0127] ;

[0128] in, For the first microalgal biomass per day; For the first microalgal biomass per day; This refers to the growth rate of microalgae. For the first The inorganic nitrogen content of water bodies in the day; The half-saturation coefficient for microalgae absorption; The half-saturation coefficient for microalgae absorption; For microalgal nitrogen assimilation efficiency; For time step, For one day.

[0129] Furthermore, in the microalgae cultivation kinetic model, the daily microalgae yield can be determined based on the daily microalgae population and the daily microalgae biomass. Specifically, the daily microalgae yield can be determined using the following formula:

[0130] ;

[0131] in, For the first Daily microalgae production; For the first The number of microalgae per day; For the first microalgal biomass per day; This refers to the volume of water used for microalgae cultivation.

[0132] Further, in the microalgae cultivation kinetics model, the number of microalgae deaths on the day can be determined according to the number of microalgae on the day, the preset microalgae mortality rate, and the nitrogen content of microalgae, and the lysis organic nitrogen content of microalgae on the day can be determined according to the number of microalgae deaths on the day. Specifically, the microalgae yield on the day can be determined according to the following formula:

[0133]

[0134] is the lysis organic nitrogen content of microalgae on the day; is the number of microalgae deaths on the day; is the individual biomass on the day; is the lysis organic nitrogen proportion of microalgae; is the volume of the microalgae cultivation water body.

[0135] It should be noted that the number of microalgae deaths on the day can be determined according to the number of microalgae on the day and the preset microalgae mortality rate according to the following formula:

[0136]

[0137] is the number of microalgae deaths on the day; is the number of microalgae on the day.

[0138] It should be noted that the microalgae cultivation kinetics model is established, and the number of microalgae, the individual biomass, and the yield are calculated daily, combined with the mortality rate, the inorganic nitrogen content of the water body, the nitrogen assimilation efficiency, and the growth rate, so that the growth dynamics of microalgae can be accurately simulated, and scientific basis can be provided for optimizing the microalgae cultivation conditions and the harvesting strategy. At the same time, by introducing the absorption half-saturation coefficient and the nitrogen assimilation efficiency, the microalgae cultivation kinetics model fully considers the limiting effect of the nitrogen in the water body on the growth of microalgae, and realizes the dynamic regulation and control of the biomass growth of microalgae. In addition, by calculating the lysis organic nitrogen content through the microalgae cultivation kinetics model, the model can evaluate the influence of microalgae deaths on the nitrogen load of the water body, and provide data support for water quality management and eutrophication prevention and control

[0139] ​​​​​​​​​​​​​As can be understood from the foregoing description, the overall kinetics model is used to fit the relationship between yield, water body nitrogen content, feed and excretion. Specifically, the shrimp kinetics model is used to fit the dynamic changes of shrimp yield, water body nitrogen content and shrimp feed during the shrimp farming process; the sea urchin farming kinetics model is used to fit the dynamic changes of sea urchin yield, water body nitrogen content, total sea urchin excretion and kelp feed during the sea urchin farming process; the shellfish farming kinetics model is used to fit the dynamic changes of shellfish yield, water body nitrogen content and shellfish feed during the shellfish farming process; the microalgae farming kinetics model is used to fit the dynamic changes of microalgae yield and water body nitrogen content during the microalgae farming process; the kelp farming kinetics model is used to fit the dynamic changes of kelp yield and water body nitrogen content during the kelp farming process, and the overall kinetics model is formed by integration. In this way, each species is modeled separately, and each species' kinetics model focuses on the growth, excretion, feed demand, etc. of the specific species, which can accurately describe the behavior and growth law of each species. The interaction between species is accurately captured, and then the overall kinetics model is integrated based on the corresponding kinetics model of each species. The synergistic effect between species can be simulated by the overall kinetics model, considering the excretion, feed demand and resource utilization of each species, etc. The farming strategy is dynamically optimized to ensure that the resource flow and material circulation within the multi-species system reach the best balance.

[0140] It should be noted that, Figure 2 FIG. 1 shows a schematic diagram of an overall kinetics model according to an example embodiment of the present application. Please refer to Figure 2 When the overall kinetics model is integrated, the total sea urchin excretion output by the sea urchin farming kinetics model is input into the shrimp farming kinetics model as part of the shrimp feed, i.e. in the shrimp farming kinetics model, the shrimp feed feeding amount is adjusted according to the total sea urchin excretion output by the sea urchin farming kinetics model. Further, the kelp yield output by the kelp farming kinetics model is input into the sea urchin farming kinetics model as part of the kelp feed, i.e. in the sea urchin farming kinetics model, the kelp feed feeding amount is adjusted according to the kelp yield output by the kelp farming kinetics model. In addition, the microalgae yield output by the microalgae kinetics model is input into the shellfish farming kinetics model as shellfish feed, i.e. in the shellfish farming kinetics model, the shellfish feed feeding amount is adjusted according to the microalgae yield output by the microalgae kinetics model.

[0141] In addition, the nitrogen content in the entire water body is equal to the sum of the nitrogen contents output by each sub-model, and the yield of each organism is output by each sub-model.

[0142] Through the whole kinetics model, the farming effect in different scenarios can be evaluated by simulation, and the influence of different management measures on the farming result can be predicted in advance, which not only helps to make an optimal decision at the initial stage of farming, but also can adjust the strategy according to the actual situation during the farming process, thereby improving the farming efficiency and sustainability.

[0143] In S102, the initial set farming scheme is input into the whole kinetics model, and the farming result in the whole farming period is output by the whole kinetics model; the farming result includes the daily yield, the daily feeding amount of each type of feed, and the daily nitrogen content in the water body; the initial set farming scheme includes the biological category of farming and the initial farming quantity of each biological category.

[0144] Specifically, the initial set farming scheme is set by an operator according to actual needs, which is not limited in the embodiment.

[0145] The initial set farming scheme can contain species such as prawns, sea urchins, shellfish, microalgae and kelp, and the initial farming quantity of each biological category, or only contain several types of organisms, for example, in one possible implementation, the initial set farming scheme can only contain prawns, sea urchins, shellfish, microalgae; in another possible implementation, the initial set farming scheme can only contain prawns, sea urchins, microalgae and kelp.

[0146] Further, the biological category and the corresponding initial farming quantity in the initial set farming scheme are input into the whole kinetics model, and the farming result of each biological category in the whole farming period, i.e. the daily yield of each biological category, the daily feeding amount of each type of feed, and the daily nitrogen content in the water body, can be output by each sub-model in the whole kinetics model. In this way, through the method for planning a multi-trophic level farming scheme provided in the application, the complete production process from stocking to harvesting in the whole farming process can be dynamically simulated, the daily yield of each biological category, the daily feeding amount of each type of feed, and the daily nitrogen content in the water body can be accurately output, and the final yield, feed conversion efficiency and other economic indicators of the initial set farming scheme can be predicted in advance, thereby avoiding economic losses caused by blind investment.

[0147] In S103, whether the farming scheme meets the preset output indicators and the preset ecological indicators is evaluated according to the farming result, and if not, the farming scheme is adjusted.

[0148] In this step, based on the breeding results of each organism in the entire breeding cycle obtained by simulating the initial set breeding scheme input in step S102 using the overall kinetics model, it is further evaluated whether the initial set breeding scheme meets the preset output index and the preset ecological index. The preset output index is mainly whether the preset output of a certain organism meets the standard, and the preset ecological index is whether the nitrogen concentration in the breeding water exceeds the standard.

[0149] Specifically, if the preset output index for prawns is 250 kg, and the final output predicted by the prawn breeding kinetics model in the overall kinetics model is 220 kg, the breeding scheme does not meet the preset output index, and the output gap is 30 kg. The preset ecological index is that the nitrogen concentration in the breeding water is less than or equal to 0.5 mg / L, and the predicted nitrogen concentration in the breeding water is 0.9 mg / L. At this time, the breeding scheme also does not meet the preset ecological index. Therefore, according to the evaluation result, the breeding scheme needs to be adjusted. For example, in one possible implementation, in the original breeding scheme containing only prawns, sea urchins and shellfish organisms, the original breeding scheme can be modified to mix kelp or microalgae, absorb nitrogen in the breeding water, reduce the nitrogen concentration, and thus improve the final output of prawns, sea urchins and shellfish, so as to achieve the preset output index and the predicted ecological index.

[0150] The method for planning a multi-trophic level breeding scheme provided in this embodiment realizes dynamic simulation and optimization of the yield, feed feeding amount and water body nitrogen content of each organism in the multi-trophic level breeding system by constructing a prawn breeding kinetics model, a sea urchin breeding kinetics model, a shellfish breeding kinetics model, a microalgae breeding kinetics model and a kelp breeding kinetics model, and integrating the prawn breeding kinetics model, the sea urchin breeding kinetics model, the shellfish breeding kinetics model, the microalgae breeding kinetics model and the kelp breeding kinetics model to construct an overall kinetics model. Through this method, the growth characteristics, feed conversion efficiency and nitrogen cycle interaction of each organism can be fully utilized to accurately predict the economic output and ecological impact in the entire breeding cycle, and then evaluate whether the initial set breeding scheme meets the preset output index and ecological index according to the final prediction result. In this way, based on the overall kinetics model described above, the initial set breeding scheme can be dynamically adjusted to effectively improve the yield of each organism, optimize the feed utilization rate and maintain the ecological balance of the breeding water body, avoid economic losses and environmental pollution caused by blind investment, and provide efficient and reliable decision support for scientific planning of multi-trophic level breeding.

[0151] Corresponding to the foregoing embodiment of the method for planning a multi-trophic level breeding scheme, the present application also provides an embodiment of a device for planning a multi-trophic level breeding scheme.

[0152] Figure 3Structure diagram of the second device embodiment for planning a multi-trophic aquaculture scheme provided in the present application. Please refer to Figure 3 The device provided in the present embodiment comprises a construction module 210, a calculation module 220, an evaluation module 230, and the like.

[0153] The construction module 210 is configured to construct a shrimp aquaculture dynamics model, a sea urchin aquaculture dynamics model, a shellfish aquaculture dynamics model, a microalgae aquaculture dynamics model, and a kelp aquaculture dynamics model, and integrate an overall dynamics model of a multi-trophic aquaculture system according to the shrimp aquaculture dynamics model, the sea urchin aquaculture dynamics model, the shellfish aquaculture dynamics model, the microalgae aquaculture dynamics model, and the kelp aquaculture dynamics model. The shrimp dynamics model is configured to fit the dynamic changes of shrimp yield, water nitrogen content, and shrimp feed feeding amount in the shrimp aquaculture process. The sea urchin aquaculture dynamics model is configured to fit the dynamic changes of sea urchin yield, water nitrogen content, total amount of sea urchin excretion, and kelp feed feeding amount in the sea urchin aquaculture process. The shellfish aquaculture dynamics model is configured to fit the dynamic changes of shellfish yield, water nitrogen content, and shellfish feed feeding amount in the shellfish aquaculture process. The microalgae aquaculture dynamics model is configured to fit the dynamic changes of microalgae yield and water nitrogen content in the microalgae aquaculture process. The kelp aquaculture dynamics model is configured to fit the dynamic changes of kelp yield and water nitrogen content in the kelp aquaculture process. The shrimp feed feeding amount is adjusted according to the total amount of sea urchin excretion. The kelp feed feeding amount is adjusted according to the kelp yield. The shellfish feed feeding amount is adjusted according to the microalgae yield.

[0154] The calculation module 220 is configured to input an initially set aquaculture scheme into the overall dynamics model, and output an aquaculture result in the entire aquaculture period from the overall dynamics model. The aquaculture result includes daily yield, daily feed feeding amount of each type, and daily nitrogen content in the water. The initially set aquaculture scheme includes the biological categories for aquaculture and the initial aquaculture quantity of each biological category.

[0155] The evaluation module 230 is configured to evaluate whether the aquaculture scheme meets preset output indicators and preset ecological indicators according to the aquaculture result. If not, the aquaculture scheme is adjusted.

[0156] The device of the present embodiment can be used to execute the steps of the method embodiment shown in Figure 1 The specific implementation principles and implementation processes are similar, and will not be repeated here.

[0157] 4Hardware structure diagram of the device for planning a multi-trophic aquaculture scheme shown in an exemplary embodiment of the present application. Please refer to Figure 4The application also provides a device for planning a multi-trophic aquaculture scheme, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of any of the methods provided in the first aspect of the application when executing the program.

[0158] The implementation process of the functions and roles of each unit in the above device is specifically described in the implementation process of the corresponding steps in the above method, which will not be repeated here.

[0159] For the device embodiment, since it basically corresponds to the method embodiment, the relevant parts can be referred to the part of the method embodiment. The above described device embodiment is only schematic, and the units described as separate components can or can not be physically separate, and the components displayed as units can or can not be physical units, that is, they can be located in one place, or distributed on multiple network units. According to the actual needs, part or all of the modules can be selected to achieve the purpose of the scheme of the application. Those skilled in the art can understand and implement without creative labor.

[0160] The above description is only the preferred embodiment of the application, and is not used to limit the application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the application shall be included in the protection scope of the application.

Claims

1. A method for planning a multi-trophic aquaculture scheme, characterized in that, The method comprises: respectively constructing a shrimp breeding dynamics model, a sea urchin breeding dynamics model, a shellfish breeding dynamics model, a microalgae breeding dynamics model and a kelp breeding dynamics model, and integrating the overall dynamics model of the multi-nutrient level breeding system according to the shrimp breeding dynamics model, the sea urchin breeding dynamics model, the shellfish breeding dynamics model, the microalgae breeding dynamics model and the kelp breeding dynamics model; the overall dynamics model is used for fitting the relationship between yield, water body nitrogen content, feed and excrement; wherein, when the overall dynamics model is integrated, the total amount of sea urchin excrement output by the sea urchin breeding dynamics model is input into the shrimp breeding dynamics model as part of the shrimp feed in the shrimp breeding dynamics model, and the amount of shrimp feed is adjusted according to the total amount of sea urchin excrement output by the sea urchin breeding dynamics model; the kelp yield output by the kelp breeding dynamics model is input into the sea urchin breeding dynamics model as part of the sea urchin feed in the sea urchin breeding dynamics model, and the amount of sea urchin feed is adjusted according to the kelp yield output by the kelp breeding dynamics model; the microalgae yield output by the microalgae dynamics model is input into the shellfish breeding dynamics model as part of the shellfish feed in the shellfish breeding dynamics model, and the amount of shellfish feed is adjusted according to the microalgae yield output by the microalgae breeding dynamics model; the shrimp breeding dynamics model is used for: For each day in the entire breeding cycle, the number of shrimps on the day is calculated according to the number of shrimps on the previous day and a preset shrimp mortality rate; The individual biomass of shrimps on the day is calculated according to the individual biomass of shrimps on the previous day and a preset growth coefficient; The yield of shrimps on the day is determined according to the number of shrimps on the day and the individual biomass of shrimps on the day, and the initial amount of shrimp feed on the day is determined according to the yield of shrimps on the day and a preset daily feeding rate of shrimps; The amount of shrimp feed on the day is determined according to the initial amount of shrimp feed on the day and the total amount of sea urchin excrement on the day; the total amount of sea urchin excrement is determined based on the sea urchin breeding dynamics model; The sediment nitrogen content of shrimps on the day is determined according to the amount of shrimp feed on the day and a preset feeding residual rate and a preset feeding nitrogen content; The excrement nitrogen content of shrimps on the day is determined according to the yield of shrimps on the day and a preset shrimp excretion rate and a preset excrement nitrogen proportion of shrimps; An initially set breeding scheme is input into the overall dynamics model, and breeding results in the entire breeding cycle are output by the overall dynamics model; the breeding results include the yield of each day, the amount of each type of feed fed each day, and the nitrogen content in the water body each day; the initially set breeding scheme includes the biological categories for breeding and the initial breeding quantity of each biological category; the biological categories for breeding include shrimps, sea urchins, shellfish, microalgae and kelp; Whether the breeding scheme meets preset output indicators and preset ecological indicators is evaluated according to the breeding results, and if not, the breeding scheme is adjusted.

2. The method of claim 1, wherein, The sea urchin breeding dynamics model is specifically used for: For each day in the whole culture period, the number of sea urchins on the day is calculated according to the number of sea urchins on the previous day and a preset mortality rate of sea urchins; The individual biomass of sea urchins on the day is calculated according to the individual biomass of sea urchins on the previous day and a preset growth coefficient of sea urchins; The yield of sea urchins on the day is determined according to the number of sea urchins on the day and the individual biomass of sea urchins on the day, and the initial feed amount of sea urchins on the day is determined according to the yield of sea urchins on the day and a preset daily feeding rate of sea urchins; The feed amount of sea urchins on the day is determined according to the initial feed amount of sea urchins on the day and the yield of macroalgae on the day, and the yield of macroalgae on the day is determined based on the macroalgae culture kinetics model; The deposited organic nitrogen content of sea urchins on the day is determined according to the feed amount of sea urchins on the day, a preset residual rate and a preset residual nitrogen content; The total amount of excretion of sea urchins on the day is determined according to the number of sea urchins on the day, the individual biomass of sea urchins on the day and a preset excretion rate of sea urchins.

3. The method of claim 1, wherein, The shellfish culture kinetics model is specifically used for: For each day in the whole culture period, the number of shellfish on the day is calculated according to the number of shellfish on the previous day and a preset maximum mortality rate of shellfish; The individual biomass of shellfish on the day is calculated according to the individual biomass of shellfish on the previous day and a preset growth coefficient of shellfish; The yield of shellfish on the day is determined according to the number of shellfish on the day and the individual biomass of shellfish on the day; The feed amount of shellfish on the day is determined according to the yield of shellfish on the day, the yield of microalgae on the day and a preset daily feeding rate of shellfish, and the yield of microalgae on the day is determined based on the microalgae culture kinetics model; The organic nitrogen content of excretion of shellfish on the day is determined according to the number of shellfish on the day, the individual biomass of shellfish on the day and a preset excretion rate of shellfish.

4. The method of claim 1, wherein, The macroalgae culture kinetics model is specifically used for: For each day in the whole culture period, the number of macroalgae on the day is calculated according to the number of macroalgae on the previous day and a preset mortality rate of macroalgae; The individual biomass of macroalgae on the day is calculated according to the individual biomass of macroalgae on the previous day, the inorganic nitrogen content of water on the day, a half-saturation coefficient of absorption of macroalgae and a preset growth coefficient of macroalgae; The yield of macroalgae on the day is determined according to the number of macroalgae on the day and the individual biomass of macroalgae on the day; The number of dead macroalgae on the day is determined according to the number of macroalgae on the day and the preset mortality rate of macroalgae, and the lapsed organic nitrogen content of macroalgae on the day is determined according to the number of dead macroalgae on the day.

5. The method of claim 1, wherein, The microalgae culture kinetics model is specifically used for: For each day in the whole culture period, the number of microalgae on the day is calculated according to the number of microalgae on the previous day, a preset mortality rate of microalgae and a nitrogen content of microalgae, the number of dead microalgae on the previous day is calculated according to the number of microalgae on the previous day and the number of dead microalgae on the previous day, and the number of microalgae on the day is calculated according to the number of microalgae on the previous day and the number of dead microalgae on the previous day; The individual biomass of microalgae on the day is calculated according to the individual biomass of microalgae on the previous day, the inorganic nitrogen content of water on the day, a half-saturation coefficient of absorption of microalgae, a nitrogen assimilation efficiency of microalgae and a growth rate of microalgae; The yield of microalgae on the day is determined according to the number of microalgae on the day and the individual biomass of microalgae on the day; According to the microalgae quantity of the day, the preset microalgae mortality rate, and the microalgae nitrogen content, the microalgae mortality quantity of the day is determined, and the microalgae lysis organic nitrogen content of the day is determined according to the microalgae mortality quantity of the day.

6. An apparatus for planning a multi-trophic aquaculture scheme, characterized in that, The device comprises a construction module, a calculation module and an evaluation module, wherein The construction module is configured to construct shrimp aquaculture dynamics models, sea urchin aquaculture dynamics models, shellfish aquaculture dynamics models, microalgae aquaculture dynamics models and kelp aquaculture dynamics models, and integrate an overall dynamics model of the multi-nutrient level aquaculture system according to the shrimp aquaculture dynamics models, the sea urchin aquaculture dynamics models, the shellfish aquaculture dynamics models, the microalgae aquaculture dynamics models and the kelp aquaculture dynamics models; the overall dynamics model is configured to fit the relationship among yield, water body nitrogen content, feed and excrement; when the overall dynamics model is integrated, the total amount of sea urchin excrement output by the sea urchin aquaculture dynamics model is input into the shrimp aquaculture dynamics model as part of the shrimp feed in the shrimp aquaculture dynamics model, and the shrimp feed feeding amount is adjusted according to the total amount of sea urchin excrement output by the sea urchin aquaculture dynamics model; the kelp yield output by the kelp aquaculture dynamics model is input into the sea urchin aquaculture dynamics model as part of the sea urchin feed, and the sea urchin feed feeding amount is adjusted according to the kelp yield output by the kelp aquaculture dynamics model; the microalgae yield output by the microalgae dynamics model is input into the shellfish aquaculture dynamics model as part of the shellfish feed, and the shellfish feed feeding amount is adjusted according to the microalgae yield output by the microalgae aquaculture dynamics model; the shrimp aquaculture dynamics model is configured to: For each day in the entire aquaculture cycle, the shrimp quantity of the day is calculated according to the shrimp quantity of the previous day and the preset shrimp mortality rate; The shrimp individual biomass of the day is calculated according to the shrimp individual biomass of the previous day and the preset growth coefficient; The shrimp yield of the day is determined according to the shrimp quantity of the day and the shrimp individual biomass of the day, and the initial shrimp feed feeding amount of the day is determined according to the shrimp yield of the day and the preset shrimp daily feeding rate; The shrimp feed feeding amount of the day is determined according to the initial shrimp feed feeding amount of the day and the total amount of sea urchin excrement of the day; the total amount of sea urchin excrement is determined based on the sea urchin aquaculture dynamics model; The shrimp sediment nitrogen content of the day is determined according to the shrimp feed feeding amount of the day, the preset feeding residual rate and the preset feeding nitrogen content; The shrimp excrement nitrogen content of the day is determined according to the shrimp yield of the day, the preset shrimp excretion rate and the preset shrimp excrement nitrogen proportion; The calculation module is configured to input an initially set aquaculture scheme into the overall dynamics model, and output the aquaculture results in the entire aquaculture cycle from the overall dynamics model; the aquaculture results include daily yield, daily feeding amount of each type of feed, and nitrogen content in the water body each day; the initially set aquaculture scheme includes the biological categories for aquaculture and the initial aquaculture quantity of each biological category; the biological categories for aquaculture include shrimp, sea urchin, shellfish, microalgae and kelp. The evaluation module is configured to evaluate whether the breeding scheme meets preset output indicators and preset ecological indicators according to the breeding result, and adjust the breeding scheme if the breeding scheme does not meet the preset output indicators and the preset ecological indicators.

7. An apparatus for planning a multi-trophic aquaculture scheme, characterized in that, Computer program product comprising a memory, a processor and a computer program stored on the memory and loadable into the processor, characterized in that the processor implements the steps of the method according to any one of claims 1 to 5 when executing the program.

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