A farm water circulation scheduling method, medium and electronic device

Abstract

This invention relates to a water circulation scheduling method, medium, and electronic equipment for aquaculture farms. The method is applicable to aquaculture systems comprising multiple aquaculture zones. By controlling the opening and closing times of the feed valves in different aquaculture zones, the method achieves staggered feeding across these zones. Through the determination of a first preset time interval and a second time interval, the method manages the feeding and excretion times of the aquaculture organisms in each zone. At different time intervals, the first and second drain valves are opened, discharging water from the aquaculture zones into the first and second water treatment modules, respectively. The continuous operation of the first and second water treatment modules enables water scheduling and treatment across multiple aquaculture zones, significantly improving water management and the effectiveness of aquatic environment management. This removes the limitations of water management in aquaculture and promotes its large-scale development.

Description

Technical Field

[0001] This invention relates to the field of water circulation in aquaculture farms, and specifically to a method, medium, and electronic equipment for water circulation scheduling in aquaculture farms. Background Technology

[0002] Water quality in ponds is a critical factor in aquaculture. Currently, the aquaculture industry faces the dual pressures of water resource deterioration and the need to improve the quality of aquatic products. The unavoidable discharge of uneaten feed, excrement, dead organisms, and drug residues into water bodies during aquaculture causes nitrogen, phosphorus, and other organic matter levels to exceed the water body's self-purification capacity, leading to continuous deterioration of the aquatic environment. Furthermore, there is currently no truly effective method for the cyclical management of water bodies in aquaculture, thus hindering the large-scale development of certain aquaculture species, particularly bullfrogs. Summary of the Invention

[0003] In view of the above problems, the present invention provides a water circulation scheduling method, medium and electronic equipment for aquaculture farms, which solves the problem that existing aquaculture is limited by low water management level and poor water management effect.

[0004] To achieve the above objectives, in a first aspect, the present invention provides a water circulation scheduling method for aquaculture farms, applicable to aquaculture systems. The aquaculture system includes a first water treatment module, a second water treatment module, and multiple aquaculture zones. Each aquaculture zone is equipped with a first drain valve, a second drain valve, and a feed valve. The first water treatment module is connected to multiple first drain valves, and the second water treatment module is connected to multiple second drain valves. The method includes:

[0005] Control the opening of the feed valve to transport materials to the breeding area, and record the closing timestamp of the feed valve as the first timestamp;

[0006] The first timestamp is summed with the first preset time interval to obtain the second timestamp. When the actual time reaches the second timestamp, the first drain valve in each breeding area is opened so that the first sewage in the breeding area enters the first water treatment module. The closing timestamp of the first drain valve is recorded as the third timestamp.

[0007] The third timestamp is summed with the second preset time interval to obtain the fourth timestamp. When the actual time reaches the fourth timestamp, the second drainage valve in each breeding area is opened so that the second sewage in the breeding area enters the second water treatment module.

[0008] The first timestamp of the feed valve is different for different breeding areas.

[0009] In some embodiments, controlling the opening of the feed valve to convey materials to the aquaculture area further includes:

[0010] Acquire aquaculture data for each aquaculture area. The aquaculture data includes one or more of the following: species type, stocking density, aquaculture area size, and aquaculture water usage ratio.

[0011] The material conveying capacity of the feed valve is generated based on the aquaculture data, and the material conveying capacity is the mass of material input into the aquaculture area;

[0012] Control the feed valve to open until the material conveying is complete.

[0013] In some embodiments, opening the first drain valve in each aquaculture zone to allow the first wastewater in the aquaculture zone to enter the first water treatment module further includes:

[0014] The aquaculture data, material delivery volume and first preset time interval are input into the trained first neural network model to obtain the first output result of the first neural network model. The first output result includes the running time of the first drain valve.

[0015] The operating time of the first drain valve is controlled based on the first output result;

[0016] Opening the second drain valve in each aquaculture area to allow the second wastewater from the aquaculture area to enter the second water treatment module also includes:

[0017] The aquaculture data, material delivery volume, and second preset time interval are input into the trained first neural network model to obtain the second output result of the first neural network model. The second output result includes the running time of the second drain valve.

[0018] The operating time of the second drain valve is controlled based on the second output result;

[0019] The first neural network model was trained in the following way:

[0020] Construct the first basic neural network model;

[0021] Obtain multiple sample data from the sample database and input the multiple sample data into the first basic neural network model to be trained in sequence. The sample data includes any one of the following: sample aquaculture data, sample material delivery volume, and sample time interval range.

[0022] Iterative training is performed based on sample aquaculture data and sample delivery volume to output the optimal operating time of the drainage valve calculated based on sample aquaculture data, sample delivery volume, and sample time interval range.

[0023] In some embodiments, the aquaculture system further includes an inlet valve, with each aquaculture zone equipped with an inlet valve for supplying aquaculture water, and the method further includes:

[0024] The first drainage volume is calculated based on the first output result. The first drainage volume is the drainage volume of the breeding area corresponding to the second timestamp.

[0025] The first operating time of the inlet valve in the current aquaculture area is calculated based on the first drainage volume.

[0026] The opening of the water inlet valve in the aquaculture area is controlled according to the first running time;

[0027] The second drainage volume is calculated based on the second output result. The second drainage volume is the drainage volume of the aquaculture area corresponding to the fourth timestamp.

[0028] The second operating time of the inlet valve in the current aquaculture area is calculated based on the second drainage volume.

[0029] The water inlet valve of the aquaculture area is opened according to the second running time.

[0030] In some embodiments, each aquaculture area is equipped with a water quality sensor, which is used to measure water quality information within the aquaculture area.

[0031] Adding the first timestamp to the first preset time interval to obtain the second timestamp also includes:

[0032] The water quality information of the aquaculture area at the second time stamp is obtained and recorded as the first water quality information. It is determined whether the first water quality information matches the first preset water quality information. If not, the second time stamp and the preset time increment are added together to obtain the first incremental time stamp. When the actual time reaches the first incremental time stamp, the water quality information in the first aquaculture area is obtained and recorded as the first incremental water quality information. It is determined whether the first incremental water quality information matches the first preset water quality information. If so, the first incremental time stamp is updated to the second time stamp of the current aquaculture area, and the first incremental time interval is updated to the first preset time interval. The first incremental time interval is obtained by subtracting the updated second time stamp from the first time stamp.

[0033] Adding the third timestamp to the second preset time interval to obtain the fourth timestamp also includes:

[0034] Obtain the water quality information of the aquaculture area at the fourth timestamp, and record it as the second water quality information. Determine whether the second water quality information matches the second preset water quality information. If not, add the fourth timestamp to the preset time increment to obtain the second incremental timestamp. When the actual time reaches the second incremental timestamp, obtain the water quality information in the first aquaculture area, and record it as the second incremental water quality information. Determine whether the second incremental water quality information matches the second preset water quality information. If so, update the second incremental timestamp to the current fourth timestamp of the aquaculture area, and update the second incremental time interval to the second preset time interval. The second incremental time interval is obtained by subtracting the updated fourth timestamp from the third timestamp.

[0035] In some embodiments, the method further includes:

[0036] Obtain the final carbon emission value of the first water treatment module;

[0037] Determine whether the final value of the first carbon emission is within the first preset carbon emission range. If not, generate a first prompt message. The first prompt message is used to indicate that there is an abnormal carbon emission in the current first water treatment module.

[0038] Obtain the final carbon emission value of the second water treatment module;

[0039] Determine whether the second final carbon emission value is within the second preset carbon emission range. If not, generate a second prompt message to indicate that the current second water treatment module has an abnormal carbon emission.

[0040] In some embodiments, the first water treatment module includes a plurality of first water treatment units, the second water treatment module includes a plurality of second water treatment units, and the method further includes:

[0041] Construct a second basic neural network model and train it to obtain a trained second neural network model;

[0042] Obtaining the final carbon emission value of the first water treatment module also includes:

[0043] The first water body data discharged by the first drain valve is input into the second neural network model. The first water body data includes protein percentage information. The output parameters of the second neural network model are the first weight adjustment factor group, which includes the first weight adjustment factor of each first water treatment unit.

[0044] The first weights corresponding to each first water treatment unit are adjusted according to the first weight adjustment factor to obtain the first weight configuration information;

[0045] Obtain the first basic carbon emissions corresponding to multiple first water treatment units;

[0046] Based on the first weight configuration information, the first basic carbon emissions of all first water treatment units are weighted and calculated to obtain the final first carbon emission value of the current first water treatment module.

[0047] And / or, obtaining the second final carbon emission value of the second water treatment module also includes:

[0048] The second water body data discharged by the second drain valve is input into the second neural network model. The second water body data includes nitrogen and phosphorus ratio information. The output parameters of the second neural network model are the second weight adjustment factor group, which includes the second weight adjustment factor of each second water treatment unit.

[0049] The second weights corresponding to each second water treatment unit are adjusted according to the second weight adjustment factor to obtain the second weight configuration information;

[0050] Obtain the second basic carbon emissions corresponding to multiple second water treatment units;

[0051] The second basic carbon emissions of all second water treatment units are weighted according to the second weight configuration information to obtain the final value of the second carbon emissions of the current second water treatment module.

[0052] In some embodiments, constructing and training a second basic neural network model to obtain a trained second neural network model further includes:

[0053] Multiple sample data points are obtained from the sample database and then sequentially input into the second basic neural network model to be trained. The sample data includes sample water body data and the basic carbon emissions of each water treatment unit of the sample water treatment model.

[0054] The initial values ​​of the weight adjustment factor group are determined based on a sample water body. The final carbon emission value of the sample water treatment module is calculated based on the values ​​of the weight adjustment factor group and the basic carbon emission of each water treatment unit of the sample water treatment model. The final carbon emission value of the sample water treatment module is compared with the standard actual carbon emission value. If the difference between the two exceeds the preset error range, the values ​​of the weight adjustment factor group are readjusted and the final carbon emission value of the sample water treatment module is calculated again. This process continues until the difference between the final carbon emission value of the sample water treatment module and the standard actual carbon emission value is within the preset error range. Then, the next sample data is read, and the above steps are repeated until all sample data is input, resulting in the trained second neural network model.

[0055] In a second aspect, the present invention also provides a computer-readable storage medium having stored thereon computer program instructions that, when executed by a processor, implement the method described in the first aspect.

[0056] In a third aspect, the present invention also provides an electronic device including a memory and a processor, the memory being used to store one or more computer program instructions, wherein the one or more computer program instructions are executed by the processor to implement the method described in the first aspect.

[0057] Unlike existing technologies, the above-mentioned technical solution's aquaculture farm water circulation scheduling method is applicable to aquaculture systems. The aquaculture system includes multiple aquaculture zones, each corresponding to a first drain valve, a second drain valve, and a feed valve. A first water treatment module is connected to multiple first drain valves, and a second water treatment module is connected to multiple second drain valves. The method described in this technical solution achieves staggered feeding across multiple aquaculture zones by controlling the opening and closing times of the feed valves in different aquaculture zones. Based on this, by judging a first preset time interval and a second time interval, the feeding time and excretion time of the aquaculture organisms in the aquaculture zones are determined. The system employs time-based control, opening the first and second drainage valves at different times to discharge water from the aquaculture area into the first and second water treatment modules, respectively. This ensures the continuous operation of both modules, enabling water management and treatment across multiple aquaculture areas. While maintaining the aquatic environment within the aquaculture areas, the system also achieves efficient utilization of the first and second water treatment modules. This water circulation scheduling method significantly improves water management and environmental control, freeing aquaculture from water management limitations and facilitating its large-scale development.

[0058] The above description of the invention is merely an overview of the technical solution of the present invention. In order to enable those skilled in the art to better understand the technical solution of the present invention and to implement it based on the description and drawings, and to make the above-mentioned objectives and other objectives, features and advantages of the present invention easier to understand, the following description is provided in conjunction with the specific embodiments and drawings of the present invention. Attached Figure Description

[0059] The accompanying drawings are only used to illustrate the principles, implementation methods, applications, features, and effects of specific embodiments of the present invention and other related contents, and should not be considered as limitations on the present invention.

[0060] In the accompanying drawings of the instruction manual:

[0061] Figure 1 This is a flowchart illustrating the steps of a specific embodiment of the aquaculture farm water circulation scheduling method of the present invention;

[0062] Figure 2 This is a schematic diagram of the aquaculture system according to a specific embodiment of the present invention;

[0063] Figure 3This is a schematic diagram of the first water treatment module and the second water treatment module according to a specific embodiment of the present invention.

[0064] The reference numerals used in the above figures are explained as follows:

[0065] 1. Aquaculture area;

[0066] 11. First drain valve;

[0067] 12. Second drain valve;

[0068] 13. Feed valve;

[0069] 14. Inlet valve;

[0070] 15. Feeding pipeline;

[0071] 16. Water supply pipelines;

[0072] 2. First water treatment module;

[0073] 21. First preprocessing unit;

[0074] 22. First purification unit;

[0075] 23. First filtration unit;

[0076] 24. First emission unit;

[0077] 3. Second water treatment module;

[0078] 31. Second preprocessing unit;

[0079] 32. Second purification unit;

[0080] 33. Second filtration unit;

[0081] 34. Second emission unit. Detailed Implementation

[0082] To illustrate the possible application scenarios, technical principles, implementable specific solutions, and achievable objectives and effects of this invention in detail, the following description, in conjunction with the listed specific embodiments and accompanying drawings, provides a detailed explanation. The embodiments described herein are merely illustrative of the technical solutions of this invention and are therefore intended only as examples, not as limiting the scope of protection of this invention.

[0083] In this document, the term "embodiment" means that a specific feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of the invention. The term "embodiment" appearing in various places throughout the specification does not necessarily refer to the same embodiment, nor does it specifically limit its independence or connection with other embodiments. In principle, in this invention, as long as there are no technical contradictions or conflicts, the technical features mentioned in each embodiment can be combined in any way to form corresponding implementable technical solutions.

[0084] Unless otherwise defined, the technical terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains; the use of related terms herein is merely for the purpose of describing particular embodiments and is not intended to limit the invention.

[0085] In the description of this invention, the term "and / or" is used to describe the logical relationship between objects, indicating that three relationships can exist. For example, A and / or B means: A exists, B exists, and A and B exist simultaneously. Additionally, the character " / " generally indicates that the preceding and following objects have an "or" logical relationship.

[0086] In this invention, terms such as “first” and “second” are used merely to distinguish one entity or operation from another, and do not necessarily require or imply any actual quantity, hierarchy, or order between these entities or operations.

[0087] Without further limitations, the use of terms such as “comprising,” “including,” “having,” or other similar open-ended expressions in this invention is intended to cover non-exclusive inclusion, which does not exclude the presence of additional elements in a process, method, or product that includes the stated elements, such that a process, method, or product that includes a list of elements may include not only those defined elements but also other elements not expressly listed, or elements inherent to such a process, method, or product.

[0088] Similar to the understanding in the Examination Guidelines, in this invention, expressions such as "greater than," "less than," and "exceeding" are understood to exclude the stated number; expressions such as "above," "below," and "within" are understood to include the stated number. Furthermore, in the description of the embodiments of this invention, "multiple" means two or more (including two), and similar expressions related to "multiple" are also understood in this way, such as "multiple groups" and "multiple times," unless otherwise explicitly specified.

[0089] Please see Figure 1 and Figure 2In a first aspect, this embodiment provides a water circulation scheduling method for aquaculture farms, applicable to aquaculture systems. The aquaculture system includes a first water treatment module 2, a second water treatment module 3, and multiple aquaculture zones 1. Each aquaculture zone 1 is equipped with a first drain valve 11, a second drain valve 12, and a feed valve 13. The first water treatment module 2 is connected to the multiple first drain valves 11, and the second water treatment module 3 is connected to the multiple second drain valves 12. The method includes:

[0090] S11. Control the opening of the feed valve to transport the material to the breeding area, and record the closing timestamp of the feed valve as the first timestamp;

[0091] S12. Add the first timestamp to the first preset time interval to obtain the second timestamp. When the actual time reaches the second timestamp, open the first drain valve in each breeding area so that the first sewage in the breeding area enters the first water treatment module. Record the closing timestamp of the first drain valve as the third timestamp.

[0092] S13. Add the third timestamp to the second preset time interval to obtain the fourth timestamp, and when the actual time reaches the fourth timestamp, open the second drainage valve in each breeding area so that the second sewage in the breeding area enters the second water treatment module.

[0093] The first timestamp corresponding to the feed valve 13 in different breeding areas 1 is different.

[0094] The aquaculture system shown in this embodiment includes multiple aquaculture zones 1. For ease of understanding, the aquaculture zones 1 are divided into a first aquaculture zone 1 and a second aquaculture zone 1 based on the opening timestamp of the feed valve 13. That is, the only difference between the first aquaculture zone 1 and the second aquaculture zone 1 is the opening timestamp of the feed valve 13. The other components (such as the first drain valve 11, the second drain valve 12, and the feed valve 13) and their corresponding connections (such as the connection between the first drain valve 11 and the first water treatment module 2) are the same. Therefore, the difference in the first timestamp of the feed valve 13 corresponding to the different aquaculture zones 1 shown in this embodiment can be understood as follows: the first timestamp of the first aquaculture zone 1 is different from the first timestamp of the second aquaculture zone 1.

[0095] Meanwhile, this embodiment does not limit the types of organisms cultured in the first and second culture zones 1. Preferably, the organisms cultured in the first and second culture zones 1 are the same species. It should be noted that the method shown in this embodiment utilizes different feeding timestamps of the feed valve 13 to achieve different culture cycles for organisms in different culture zones 1. Preferably, by precisely controlling the feeding timestamps of the feed valve 13, the culture cycles of the first and second culture zones 1 are staggered: for example, when the first culture zone 1 is in the feeding stage, the second culture zone 1 is in the waiting-to-feed stage; when the first culture zone 1 is in the excretion stage, the second culture zone 1 is in the feeding stage; when the first culture zone 1 is in the waiting-to-feed stage, the second culture zone 1 is in the excretion stage, and so on. By controlling the opening and closing of the corresponding valves in the first and second culture zones 1, the first water treatment module 2 can continuously treat the first wastewater, and the second water treatment module 3 can continuously treat the second wastewater, improving water circulation efficiency.

[0096] Specifically, the aquaculture system shown in this embodiment also includes a water supply pipeline 16, a feed pipeline 15, and an inlet valve 14. The water supply pipeline 16 is connected to each aquaculture area 1 through an inlet valve 14. The water supply pipeline 16 is used to transport aquaculture water, which is the water body required for aquaculture. The feed pipeline 15 is connected to each aquaculture area 1 through an inlet valve 13. The feed pipeline 15 is used to transport materials, which are the protein-rich nutrient feed required by the organisms in the aquaculture area 1.

[0097] The first and second wastewaters are formed in the same aquaculture area 1 at different time periods. Specifically, it can be understood as follows: During the period after the organisms in aquaculture area 1 consume the feed, they do not produce excrement. Therefore, the protein content in the entire water body is much greater than the nitrogen and phosphorus content in the excrement, but less than the protein content in the water body corresponding to the first time stamp in aquaculture area 1. In this embodiment, this protein-rich water body is designated as the first wastewater. During the excretion phase, the first organisms produce a large amount of excrement. At this moment, the nitrogen and phosphorus content in the excrement in the entire water body is much greater than the protein content. Using the nitrogen and phosphorus content in the excrement as an indicator of the excrement content in the entire water body, this nitrogen and phosphorus-rich water body is designated as the second wastewater.

[0098] Based on this premise, this embodiment obtains a first preset time interval and a second preset time interval by statistically analyzing the time required for biological edible materials and the time required for excrement to form after the biological edible materials. After the first preset time interval, the water body corresponding to the breeding area 1 is the first sewage, and after the second preset time interval, the water body corresponding to the breeding area 1 is the second sewage. Then, by controlling the opening and closing time of the first drain valve 11 and the second drain valve 12 in the breeding area 1, the first sewage and the second sewage in the breeding area 1 are discharged separately.

[0099] Corresponding to the first wastewater, the first water treatment module 2 shown in this embodiment is used to purify and recover proteins, convert the first wastewater into first wastewater, and discharge the first wastewater into the external environment; corresponding to the second wastewater, the second water treatment module 3 shown in this embodiment is used to purify and recover nitrogen and phosphorus elements in the second wastewater, convert the second wastewater into second wastewater, and discharge the second wastewater into the external environment; both the first wastewater and the second wastewater meet the discharge water quality standards.

[0100] By controlling the opening and closing times of the feed valves 13 in different aquaculture zones 1, staggered feeding of multiple aquaculture zones 1 is achieved. Based on this, by judging the first preset time interval and the second time interval, the aquaculture organisms in aquaculture zone 1 are time-controlled according to the feeding and excretion times of the materials. The first drain valve 11 and the second drain valve 12 are opened at different time periods to discharge the water in aquaculture zone 1 into the first water treatment module 2 and the second water treatment module 3 respectively. The first water treatment module 2 and the second water treatment module 3 are kept running continuously to realize the water scheduling and treatment of multiple aquaculture zones 1. While maintaining the water environment in aquaculture zone 1, the first water treatment module 2 and the second water treatment module 3 are used efficiently. The water circulation scheduling method shown in this embodiment can significantly improve the water management level and the water environment management effect, so that aquaculture is no longer restricted by water management and is conducive to the large-scale development of aquaculture.

[0101] In some embodiments, controlling the opening of the feed valve to convey materials to the aquaculture area further includes:

[0102] Acquire aquaculture data for each aquaculture area. The aquaculture data includes one or more of the following: species type, stocking density, aquaculture area size, and aquaculture water usage ratio.

[0103] The material conveying capacity of the feed valve is generated based on the aquaculture data, and the material conveying capacity is the mass of material input into the aquaculture area;

[0104] Control the feed valve to open until the material conveying is complete.

[0105] In this embodiment, the species category refers to the specific species species in aquaculture, the stocking density refers to the density of organisms in a single aquaculture area 1, the size of aquaculture area 1 refers to the spatial size of aquaculture area 1, and the proportion of aquaculture water refers to the ratio between the water volume in aquaculture area 1 and the total spatial volume of aquaculture area 1.

[0106] The material conveying capacity of feed valve 13 can be obtained from the breeding data. Then, the operating parameters of feed valve 13 can be calculated based on the unit flow rate of feed pipeline 15. The feed valve 13 is controlled to open according to the operating parameters of feed valve 13 until the material conveying is completed.

[0107] Specifically, the calculation of material conveying volume prioritizes the breeding density and the size of breeding area 1. The specific number of organisms in breeding area 1 is calculated based on the size and density, and the first material conveying volume is obtained based on the number of organisms. The volume of breeding water is calculated based on the proportion of water used in breeding and the size of breeding area 1. The second material conveying volume corresponding to the water used in breeding is calculated based on the solubility saturation value of the material in water. The first conveying volume is used as the material conveying volume. The magnitudes of the first and second conveying volumes are compared and the comparison result is output. Based on this comparison result and the unit flow rate of the feeding pipeline 15, the operating parameters of the feed valve 13 are calculated.

[0108] When the first conveying amount is greater than the second conveying amount, the opening of the feed valve 13 is adjusted to extend the conveying time of the material, so that the material of the first conveying amount is continuously kept in a dissolved saturated state in the water body of the aquaculture area 1; when the first conveying amount is less than the second conveying amount, the feed valve 13 is kept open normally.

[0109] This embodiment can obtain the material delivery volume based on aquaculture data, and at the same time, reduce the impact of protein in the material on the aquatic environment while meeting the feeding needs of organisms in aquaculture area 1. It can reduce material waste and reduce the processing difficulty of the first water treatment module 2.

[0110] In some embodiments, opening the first drain valve in each aquaculture zone to allow the first wastewater in the aquaculture zone to enter the first water treatment module further includes:

[0111] The aquaculture data, material delivery volume and first preset time interval are input into the trained first neural network model to obtain the first output result of the first neural network model. The first output result includes the running time of the first drain valve.

[0112] The operating time of the first drain valve is controlled based on the first output result;

[0113] Opening the second drain valve in each aquaculture area to allow the second wastewater from the aquaculture area to enter the second water treatment module also includes:

[0114] The aquaculture data, material delivery volume, and second preset time interval are input into the trained first neural network model to obtain the second output result of the first neural network model. The second output result includes the running time of the second drain valve.

[0115] The operating time of the second drain valve is controlled based on the second output result;

[0116] The first neural network model was trained in the following way:

[0117] Construct the first basic neural network model;

[0118] Obtain multiple sample data from the sample database and input the multiple sample data into the first basic neural network model to be trained in sequence. The sample data includes any one of the following: sample aquaculture data, sample material delivery volume, and sample time interval range.

[0119] Iterative training is performed based on sample aquaculture data and sample delivery volume to output the optimal operating time of the drainage valve calculated based on sample aquaculture data, sample delivery volume, and sample time interval range.

[0120] In this embodiment, the operating time of the drain valve is obtained by inputting aquaculture data, material delivery volume, and time interval range into a neural network model for calculation. This allows the model to determine the fluctuations in protein and nitrogen / phosphorus content in the water of aquaculture zone 1 within different time interval ranges. Under this premise, inputting the first preset time interval into the trained neural network model yields the protein content in the water of aquaculture zone 1 within the first preset time interval, thus obtaining the operating time of the first drain valve 11. Similarly, inputting the second preset time interval into the trained neural network model yields the nitrogen / phosphorus content in the water of aquaculture zone 1 within the second preset time interval, thus obtaining the operating time of the second drain valve 12.

[0121] This embodiment uses a neural network model and deep learning to determine the operating time of the first drain valve 11 and the second drain valve 12, thereby further optimizing the water discharge control of each aquaculture zone 1 in the entire aquaculture system.

[0122] In some embodiments, the aquaculture system further includes a water inlet valve 14, with each aquaculture zone 1 provided with a water inlet valve 14 for conveying aquaculture water, and the method further includes:

[0123] The first drainage volume is calculated based on the first output result. The first drainage volume is the drainage volume of the breeding area corresponding to the second timestamp.

[0124] The first operating time of the inlet valve in the current aquaculture area is calculated based on the first drainage volume.

[0125] The opening of the water inlet valve in the aquaculture area is controlled according to the first running time;

[0126] The second drainage volume is calculated based on the second output result. The second drainage volume is the drainage volume of the aquaculture area corresponding to the fourth timestamp.

[0127] The second operating time of the inlet valve in the current aquaculture area is calculated based on the second drainage volume.

[0128] The water inlet valve of the aquaculture area is opened according to the second running time.

[0129] In this embodiment, the first drainage volume is the drainage volume of aquaculture area 1 corresponding to the second timestamp, that is, the first drainage volume corresponds to the drainage volume of the first sewage, and the second drainage volume is the drainage volume of aquaculture area 1 corresponding to the fourth timestamp, that is, the fourth drainage volume corresponds to the drainage volume of the second sewage.

[0130] In this embodiment, taking into account that the organisms in the aquaculture area 1 are aquatic, the water supply pipeline 16 will be controlled to replenish the same volume of aquaculture water after the first or second sewage is extracted, so as to maintain the normal aquaculture environment for the organisms in the aquaculture area 1.

[0131] In some embodiments, each aquaculture zone 1 is equipped with a water quality sensor, which is used to measure water quality information within the aquaculture zone 1.

[0132] Adding the first timestamp to the first preset time interval to obtain the second timestamp also includes:

[0133] The water quality information of the aquaculture area at the second time stamp is obtained and recorded as the first water quality information. It is determined whether the first water quality information matches the first preset water quality information. If not, the second time stamp and the preset time increment are added together to obtain the first incremental time stamp. When the actual time reaches the first incremental time stamp, the water quality information in the first aquaculture area is obtained and recorded as the first incremental water quality information. It is determined whether the first incremental water quality information matches the first preset water quality information. If so, the first incremental time stamp is updated to the second time stamp of the current aquaculture area, and the first incremental time interval is updated to the first preset time interval. The first incremental time interval is obtained by subtracting the updated second time stamp from the first time stamp.

[0134] Adding the third timestamp to the second preset time interval to obtain the fourth timestamp also includes:

[0135] Obtain the water quality information of the aquaculture area at the fourth timestamp, and record it as the second water quality information. Determine whether the second water quality information matches the second preset water quality information. If not, add the fourth timestamp to the preset time increment to obtain the second incremental timestamp. When the actual time reaches the second incremental timestamp, obtain the water quality information in the first aquaculture area, and record it as the second incremental water quality information. Determine whether the second incremental water quality information matches the second preset water quality information. If so, update the second incremental timestamp to the current fourth timestamp of the aquaculture area, and update the second incremental time interval to the second preset time interval. The second incremental time interval is obtained by subtracting the updated fourth timestamp from the third timestamp.

[0136] In actual aquaculture, the water quality information in aquaculture area 1 differs from the theoretical water quality information. This difference is caused by material transport losses, meaning that the transported material is not completely absorbed by the aquatic organisms being farmed. Further reasons for these material transport losses include solubility, pathological or physiological changes in organism density, and the presence of other organisms in the aquaculture environment. These differences in water quality information affect water treatment efficiency. If the operating parameters of the first water treatment module 2 are controlled directly based on the calculated theoretical water quality information when the first preset time interval is reached, the first wastewater will not be completely treated. Similarly, if the operating parameters of the second water treatment module 3 are controlled directly based on the calculated theoretical water quality information when the second preset time interval is reached, the second wastewater will not be completely treated.

[0137] To avoid the above problems, this embodiment adds a water quality sensor. By acquiring the water quality information of aquaculture area 1 in real time, the first preset time interval and the second preset time interval can be corrected in a timely manner according to the actual water quality information, so that the entire water cycle scheduling method has a compensation feedback function.

[0138] Taking the compensation feedback for the first preset time interval as an example, the compensation feedback steps for the second preset time interval are the same:

[0139] In this embodiment, the actual water quality information in the current aquaculture area 1 at the second timestamp is recorded as the first water quality information. The first preset water quality information can be understood as the water quality information of aquaculture area 1 under theoretical conditions. Preferably, the first preset water quality information can be calculated from aquaculture data and material delivery volume. When the first water quality information does not match the first preset water quality information, a preset time increment is introduced. The preset time increment is a preset minimum time increment value. After the preset time increment, the first water quality information in aquaculture area 1 changes by a unit value. The second timestamp is then summed with the preset time increment to obtain the first incremental timestamp. After the actual time reaches the first incremental timestamp, the water quality sensor is controlled again to collect water quality information in the aquaculture area 1, which is recorded as the first incremental water quality information. It is then determined whether the first incremental water quality information matches the first preset water quality information. If not, the aforementioned steps are repeated, and the first incremental timestamp is summed with the preset time increment and iterated, and so on, until the first incremental water quality information matches the first preset water quality information. The first incremental timestamp is then updated to the current second timestamp of the aquaculture area, and the first incremental time interval is updated to the first preset time interval. The first incremental time interval is obtained by subtracting the updated second timestamp from the first timestamp.

[0140] This embodiment implements compensation feedback for the first preset time interval, which facilitates timely adjustment of the first preset time interval according to the actual situation, so as to maintain the efficient treatment of the first wastewater by the first water treatment module 2. Similarly, this embodiment implements compensation feedback for the second preset time interval, which facilitates timely adjustment of the second preset time interval according to the actual situation, so as to maintain the efficient treatment of the second wastewater by the second water treatment module 3.

[0141] In some embodiments, the method further includes:

[0142] Obtain the final carbon emission value of the first water treatment module;

[0143] Determine whether the final value of the first carbon emission is within the first preset carbon emission range. If not, generate a first prompt message. The first prompt message is used to indicate that there is an abnormal carbon emission in the current first water treatment module.

[0144] Obtain the final carbon emission value of the second water treatment module;

[0145] Determine whether the second final carbon emission value is within the second preset carbon emission range. If not, generate a second prompt message to indicate that the current second water treatment module has an abnormal carbon emission.

[0146] This embodiment also tracks and monitors the carbon emissions of the first water treatment module 2 and the second water treatment module 3. When the final carbon emission value of the first water treatment module 2 exceeds the first preset carbon emission range, a first prompt message is generated to indicate that the first water treatment module 2 has an abnormal carbon emission. When the final carbon emission value of the second water treatment module 3 exceeds the second preset carbon emission range, a second prompt message is generated to indicate that the second water treatment module 3 has an abnormal carbon emission. This embodiment monitors the operating status of the first water treatment module 2 and the second water treatment module 3 by monitoring carbon emissions. An abnormal carbon emission necessarily indicates damage to the equipment in the first water treatment module 2 or the second water treatment module 3, or an abnormal content of the first and second wastewater in the aquaculture area 1, thereby achieving monitoring of the aquatic environment of the aquaculture area 1 and reducing aquaculture risks.

[0147] Please see Figure 3 In some embodiments, the first water treatment module includes a plurality of first water treatment units, the second water treatment module includes a plurality of second water treatment units, and the method further includes:

[0148] Construct a second basic neural network model and train it to obtain a trained second neural network model;

[0149] Obtaining the final carbon emission value of the first water treatment module also includes:

[0150] The first water body data discharged by the first drain valve is input into the second neural network model. The first water body data includes protein percentage information. The output parameters of the second neural network model are the first weight adjustment factor group, which includes the first weight adjustment factor of each first water treatment unit.

[0151] The first weights corresponding to each first water treatment unit are adjusted according to the first weight adjustment factor to obtain the first weight configuration information;

[0152] Obtain the first basic carbon emissions corresponding to multiple first water treatment units;

[0153] Based on the first weight configuration information, the first basic carbon emissions of all first water treatment units are weighted and calculated to obtain the final first carbon emission value of the current first water treatment module.

[0154] And / or, obtaining the second final carbon emission value of the second water treatment module also includes:

[0155] The second water body data discharged by the second drain valve is input into the second neural network model. The second water body data includes nitrogen and phosphorus ratio information. The output parameters of the second neural network model are the second weight adjustment factor group, which includes the second weight adjustment factor of each second water treatment unit.

[0156] The second weights corresponding to each second water treatment unit are adjusted according to the second weight adjustment factor to obtain the second weight configuration information;

[0157] Obtain the second basic carbon emissions corresponding to multiple second water treatment units;

[0158] The second basic carbon emissions of all second water treatment units are weighted according to the second weight configuration information to obtain the final value of the second carbon emissions of the current second water treatment module.

[0159] In this embodiment, the first water treatment module 2 is used to treat proteins. Preferably, the protein treatment principle in this embodiment can be achieved through ultrafiltration to increase the protein content in the second wastewater. The second water treatment module 3 is used to treat nitrogen and phosphorus elements. Preferably, the nitrogen and phosphorus element treatment principle in this embodiment mainly consists of two parts: the first part: using microorganisms to carry out a biological reaction on the nitrogen element in the first wastewater, i.e., nitrification treatment, followed by anaerobic treatment, to generate nitrogen gas to purify the nitrogen element in the first wastewater; the second part: recovering the phosphorus element from the first wastewater where nitrogen has been extracted using electrocoagulation and ultrafiltration.

[0160] Specifically, the first water treatment unit includes one of a first pretreatment unit 21, a first purification unit 22, a first filtration unit 23, and a first discharge unit 24. The first pretreatment unit 21 includes a first filter screen, which is used to initially filter the sludge in the first wastewater to remove larger hard particles or impurities, and simultaneously crush the protein in the first wastewater. In this embodiment, the protein is the protein remaining after the organisms have reached saturation for consumption. Compared to the second wastewater, the first wastewater is relatively clean, and the treatment of the protein in the first wastewater mainly focuses on protein purification. Therefore, the first purification unit 22 includes sedimentation and / or distillation steps. The first filtration unit 23 corresponds to the ultrafiltration purification step of the protein. The first filtration unit 23 includes a first filter membrane, which can optionally be understood as an ultrafiltration membrane. The first filter membrane can filter the protein to generate a protein mixture. Meanwhile, the remaining liquid in the first wastewater is discharged as the first wastewater. The first discharge unit 24 is connected to the output port of the first filtration unit 23 and is used to output the protein mixture. Preferably, the protein mixture can be used as feed for the next cultured organism, or it can be directly returned to the water body of the culture area 1.

[0161] The second water treatment unit includes one of a second pretreatment unit 31, a second purification unit 32, a second filtration unit 33, and a second discharge unit 34. The second pretreatment unit 31 includes a second filter screen, which is used to perform preliminary filtration of sludge in the second wastewater to remove larger hard particles or impurities, and at the same time to crush the sludge to facilitate uniform dispersion of the turbid sludge in the second wastewater. The second purification unit 32 is located at the output end of the second pretreatment unit 31. Based on the above-mentioned nitrogen and phosphorus element treatment principle, the second purification unit 32 may specifically include a nitrogen purification unit and a phosphorus purification unit. The nitrogen purification unit adopts the biological purification principle and includes two nitrogen purification sub-units. One nitrogen purification subunit is used to treat the second wastewater by nitrification, and another nitrogen purification subunit is used to treat the second wastewater after nitrification by anaerobic treatment, recovering nitrogen in the form of nitrogen gas. Furthermore, the phosphorus purification unit adopts the principle of chemical reaction, and at the same time, the chemical reaction rate of phosphorus can be further improved by using the principle of electrocoagulation. The second filtration unit 33 includes a second filter membrane, which can be an ultrafiltration membrane. After electrocoagulation, phosphorus forms a precipitate, which can be filtered out by the second filter membrane, forming the second wastewater. The second discharge unit 34 is connected to the output end of the second filtration unit 33, thereby realizing the discharge of the second wastewater and the recovery of nitrogen and phosphorus compounds.

[0162] Based on this premise, the steps shown in this embodiment should be understood. It should be noted that the carbon emission calculation principles of the first water treatment module 2 and the second water treatment module 3 are the same. Here, only the carbon emission calculation process of the first water treatment module 2 will be discussed:

[0163] The first water body data includes first water quality information, which includes protein percentage information. The first water body data also includes a first discharge volume, where the protein percentage information represents the proportion of protein in the water body. Each first water treatment unit corresponds to a first weight and a first basic carbon emission amount. Different first water treatment units have different first weights and different first basic carbon emissions. By weighted calculation of multiple first basic carbon emissions, the final first carbon emission value of the first water treatment unit can be obtained. In this embodiment, a first weight adjustment factor is introduced to adjust the first weight, thereby adjusting the final first carbon emission value of the first water treatment module 2.

[0164] In this embodiment, the first water body data is input into the second neural network model to obtain multiple first weight adjustment factors. The first weights are then adjusted using these factors to obtain the final first carbon emission value. This embodiment can adjust the first weights based on water body data from the actual aquaculture process, thereby achieving accurate calculation of the final first carbon emission value and improving the monitoring accuracy of the final first carbon emission value.

[0165] Optionally, the first basic carbon emission of the first water treatment unit is represented by its power consumption: the equipment corresponding to each treatment step of the first water treatment unit is acquired, and the power consumption generated by the equipment during operation per unit time is collected. The power consumption is then converted into the carbon emission value of the equipment. The carbon emission value of each first water treatment unit is calculated by summing the carbon emission values ​​of all equipment corresponding to the current treatment step. The calculation principle of the second basic carbon emission of the second water treatment unit is the same as above, and will not be elaborated here.

[0166] In some embodiments, constructing and training a second basic neural network model to obtain a trained second neural network model further includes:

[0167] Multiple sample data points are obtained from the sample database and then sequentially input into the second basic neural network model to be trained. The sample data includes sample water body data and the basic carbon emissions of each water treatment unit of the sample water treatment model.

[0168] The initial values ​​of the weight adjustment factor group are determined based on a sample water body. The final carbon emission value of the sample water treatment module is calculated based on the values ​​of the weight adjustment factor group and the basic carbon emission of each water treatment unit of the sample water treatment model. The final carbon emission value of the sample water treatment module is compared with the standard actual carbon emission value. If the difference between the two exceeds the preset error range, the values ​​of the weight adjustment factor group are readjusted and the final carbon emission value of the sample water treatment module is calculated again. This process continues until the difference between the final carbon emission value of the sample water treatment module and the standard actual carbon emission value is within the preset error range. Then, the next sample data is read, and the above steps are repeated until all sample data is input, resulting in the trained second neural network model.

[0169] In a second aspect, this embodiment also provides a computer-readable storage medium storing computer program instructions thereon, which, when executed by a processor, implement the method described in the first aspect.

[0170] In a third aspect, this embodiment also provides an electronic device, including a memory and a processor, the memory being used to store one or more computer program instructions, wherein the one or more computer program instructions are executed by the processor to implement the method described in the first aspect.

[0171] The storage media / memory include, but are not limited to: RAM, ROM, magnetic disks, magnetic tapes, optical discs, flash memory, USB flash drives, portable hard drives, memory cards, memory sticks, network server storage, and network cloud storage. The processors include, but are not limited to, CPUs (Central Processing Units), GPUs (Graphics Processing Units), and MCUs (Microprocessors).

[0172] In the above technical solution, the water circulation scheduling method for aquaculture farms is applicable to aquaculture systems. The aquaculture system includes multiple aquaculture zones 1, each corresponding to a first drain valve 11, a second drain valve 12, and a feed valve 13. A first water treatment module 2 is connected to multiple first drain valves 11, and a second water treatment module 3 is connected to multiple second drain valves 12. The method described in this technical solution achieves staggered feeding of multiple aquaculture zones 1 by controlling the opening and closing times of the feed valves 13 in different aquaculture zones 1. Based on this, by judging the first preset time interval and the second time interval, the feeding time and excretion time of the aquaculture organisms in aquaculture zone 1 are determined. The system manages the water flow by opening the first drain valve 11 and the second drain valve 12 at different times to discharge water from the aquaculture area 1 into the first water treatment module 2 and the second water treatment module 3, respectively. This ensures the continuous operation of the first water treatment module 2 and the second water treatment module 3, thereby enabling the scheduling and treatment of water in multiple aquaculture areas 1. While maintaining the water environment in aquaculture areas 1, the system also achieves efficient use of the first water treatment module 2 and the second water treatment module 3. The water circulation scheduling method shown in this technical solution can significantly improve the level of water management and the management effect of the water environment, freeing aquaculture from the limitations of water management and facilitating the large-scale development of aquaculture.

[0173] Finally, it should be noted that although the above embodiments have been described in the description and drawings of this invention, this should not limit the scope of patent protection of this invention. Any technical solutions that are based on the essential concept of this invention, utilize the content described in the description and drawings of this invention to make equivalent structural or procedural substitutions or modifications, as well as the direct or indirect application of the technical solutions of the above embodiments to other related technical fields, are all included within the scope of patent protection of this invention.

Claims

1. A method for water circulation scheduling in aquaculture farms, characterized in that, Applicable to an aquaculture system, the aquaculture system includes a first water treatment module, a second water treatment module, and multiple aquaculture zones. Each aquaculture zone is equipped with a first drain valve, a second drain valve, and a feed valve. The first water treatment module is connected to multiple first drain valves, and the second water treatment module is connected to multiple second drain valves. The method includes: The feed valve is controlled to open to transport materials to the breeding area, and the closing timestamp of the feed valve is recorded and designated as the first timestamp. The first timestamp is summed with the first preset time interval to obtain the second timestamp. When the actual time reaches the second timestamp, the first drain valve in each of the breeding areas is opened so that the first sewage in the breeding area enters the first water treatment module. The closing timestamp of the first drain valve is recorded as the third timestamp. The third timestamp is summed with the second preset time interval to obtain the fourth timestamp. When the actual time reaches the fourth timestamp, the second drainage valve in each of the breeding areas is opened so that the second sewage in the breeding area enters the second water treatment module. The first timestamp corresponding to the feed valves in different breeding areas is different; The process of transporting materials to the aquaculture area also includes: Acquire aquaculture data for each of the aquaculture zones, including one or more of the following: species type, stocking density, size of the aquaculture zone, and proportion of aquaculture water used. The material conveying capacity of the feed valve is generated based on the aquaculture data, and the material conveying capacity is the mass of material input into the aquaculture area; Control the feed valve to open until the material conveying is completed; The first preset time interval is obtained based on the time required for the biological edible materials to be produced by statistical analysis of the aquaculture data; the second preset time interval is obtained based on the time required for the biological edible materials to be produced and excrement to be formed by statistical analysis of the aquaculture data. The first water treatment module and the second water treatment module have different wastewater treatment functions.

2. The water circulation scheduling method for aquaculture farms according to claim 1, characterized in that, Opening the first drain valve in each of the aforementioned aquaculture zones to allow the first wastewater in the aquaculture zone to enter the first water treatment module further includes: The aquaculture data, material delivery volume, and the first preset time interval are input into the trained first neural network model to obtain the first output result of the first neural network model. The first output result includes the running time of the first drain valve. The operating time of the first drain valve is controlled based on the first output result; Opening the second drain valve in each of the aforementioned aquaculture zones to allow the second wastewater in the aquaculture zones to enter the second water treatment module further includes: The aquaculture data, material delivery volume, and the second preset time interval are input into the trained first neural network model to obtain the second output result of the first neural network model. The second output result includes the running time of the second drain valve. The operating time of the second drain valve is controlled based on the second output result; The first neural network model is trained in the following manner: Construct the first basic neural network model; Multiple sample data are obtained from the sample database and sequentially input into the first basic neural network model to be trained. The sample data includes any one of sample aquaculture data, sample material delivery volume, and sample time interval range. Iterative training is performed based on the sample aquaculture data and sample delivery volume to output the optimal operating time of the drainage valve calculated based on the sample aquaculture data, sample delivery volume, and sample time interval range.

3. The method for water circulation scheduling in aquaculture farms according to claim 2, characterized in that, The aquaculture system further includes a water inlet valve, with each aquaculture zone equipped with one water inlet valve for supplying aquaculture water. The method further includes: The first drainage volume is calculated based on the first output result, and the first drainage volume is the drainage volume of the breeding area corresponding to the second timestamp; The first operating time of the inlet valve of the current breeding area is calculated based on the first drainage volume. The water inlet valve of the aquaculture area is opened according to the first running time. The second drainage volume is calculated based on the second output result. The second drainage volume is the drainage volume of the breeding area corresponding to the fourth timestamp. The second operating time of the inlet valve of the current aquaculture area is calculated based on the second drainage volume. The water inlet valve of the aquaculture area is opened according to the second running time.

4. The method for water circulation scheduling in aquaculture farms according to claim 1, characterized in that, Each of the aforementioned aquaculture areas is equipped with a water quality sensor, which is used to measure water quality information within the aquaculture area; Adding the first timestamp to the first preset time interval to obtain the second timestamp further includes: The water quality information of the aquaculture area at the second timestamp is obtained and recorded as the first water quality information. It is determined whether the first water quality information matches the first preset water quality information. If not, the second timestamp is added to the preset time increment to obtain the first incremental timestamp. When the actual time reaches the first incremental timestamp, the water quality information in the aquaculture area is obtained and recorded as the first incremental water quality information. It is determined whether the first incremental water quality information matches the first preset water quality information. If so, the first incremental timestamp is updated to the second timestamp of the current aquaculture area, and the first incremental time interval is updated to the first preset time interval. The first incremental time interval is obtained by subtracting the updated second timestamp from the first timestamp. Adding the third timestamp to the second preset time interval to obtain the fourth timestamp further includes: The water quality information of the aquaculture area at the fourth time stamp is obtained and recorded as the second water quality information. It is determined whether the second water quality information matches the second preset water quality information. If not, the fourth time stamp is added to the preset time increment to obtain the second incremental time stamp. When the actual time reaches the second incremental time stamp, the water quality information in the aquaculture area is obtained and recorded as the second incremental water quality information. It is determined whether the second incremental water quality information matches the second preset water quality information. If so, the second incremental time stamp is updated to the fourth time stamp of the current aquaculture area, and the second incremental time interval is updated to the second preset time interval. The second incremental time interval is obtained by subtracting the updated fourth time stamp from the third time stamp.

5. The method for water circulation scheduling in aquaculture farms according to claim 1, characterized in that, The method further includes: Obtain the first final carbon emission value of the first water treatment module; Determine whether the first final carbon emission value is within the first preset carbon emission range. If not, generate a first prompt message. The first prompt message is used to indicate that the first water treatment module has an abnormal carbon emission. Obtain the second final carbon emission value of the second water treatment module; Determine whether the second final carbon emission value is within the second preset carbon emission range. If not, generate a second prompt message to indicate that the current second water treatment module has an abnormal carbon emission.

6. The method for water circulation scheduling in aquaculture farms according to claim 5, characterized in that, The first water treatment module includes multiple first water treatment units, the second water treatment module includes multiple second water treatment units, and the method further includes: Construct a second basic neural network model and train it to obtain a trained second neural network model; Obtaining the final carbon emission value of the first water treatment module also includes: The first water body data discharged by the first drain valve is input into the second neural network model. The first water body data includes protein percentage information. The output parameters of the second neural network model are the first weight adjustment factor group, which includes the first weight adjustment factor of each of the first water treatment units. The first weights corresponding to each of the first water treatment units are adjusted according to the first weight adjustment factor to obtain the first weight configuration information; Obtain the first basic carbon emissions corresponding to multiple first water treatment units; Based on the first weight configuration information, the first basic carbon emissions of all first water treatment units are weighted and calculated to obtain the final first carbon emission value of the current first water treatment module. And / or, obtaining the second carbon emission final value of the second water treatment module further includes: The second water body data discharged into the second drain valve is input into the second neural network model. The second water body data includes nitrogen and phosphorus ratio information. The output parameter of the second neural network model is the second weight adjustment factor group. The second weight adjustment factor group includes the second weight adjustment factor of each second water treatment unit. The second weights corresponding to each of the second water treatment units are adjusted according to the second weight adjustment factor to obtain the second weight configuration information; Obtain the second basic carbon emissions corresponding to multiple second water treatment units; The second basic carbon emissions of all second water treatment units are weighted according to the second weight configuration information to obtain the final second carbon emission value of the current second water treatment module.

7. The method for water circulation scheduling in aquaculture farms according to claim 6, characterized in that, The process of constructing and training a second basic neural network model to obtain a trained second neural network model also includes: Multiple sample data are obtained from the sample database and then sequentially input into the second basic neural network model to be trained. The sample data includes sample water body data and the basic carbon emissions of each water treatment unit of the sample water treatment model. Based on a specific sample water body, an initial value for the weight adjustment factor group is determined. The final carbon emission value of the sample water treatment module is calculated based on the values ​​of the weight adjustment factor group and the baseline carbon emission of each water treatment unit in the sample water treatment model. The final carbon emission value of the sample water treatment module is then compared with the standard actual carbon emission value. If the difference exceeds a preset error range, the values ​​of the weight adjustment factor group are readjusted, and the final carbon emission value of the sample water treatment module is calculated again. This process continues until the difference between the final carbon emission value of the sample water treatment module and the standard actual carbon emission value is within the preset error range. The next sample data is then read, and the above steps are repeated until all sample data has been input, resulting in a trained second neural network model.

8. A computer-readable storage medium storing computer program instructions thereon, characterized in that, The computer program instructions, when executed by a processor, implement the method as described in any one of claims 1-7.

9. An electronic device comprising a memory and a processor, characterized in that, The memory is used to store one or more computer program instructions, wherein the one or more computer program instructions are executed by the processor to implement the method as described in any one of claims 1-7.

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