Efficient circulating aquaculture system

Abstract

The invention relates to the technical field of aquaculture, in particular to an efficient circulating aquaculture system which comprises an acquisition monitoring module, a data processing module, a model establishing module, a threshold value judging module, a targeted regulation and control module and a water body circulating module. By monitoring pathogen indexes in real time and establishing a disease model, the pathogen enrichment condition can be found and treated in time, so that the risk of disease outbreak is reduced, and the safety of aquaculture is guaranteed. Meanwhile, a plastic biological membrane surface detection technology is also introduced, so that the accuracy and efficiency of disease prevention and control are further improved.

Description

Technical Field

[0001] This invention relates to the field of aquaculture technology, specifically to a high-efficiency recirculating aquaculture system. Background Technology

[0002] How to efficiently utilize water resources and improve their utilization efficiency is one of the most pressing problems facing humanity. Traditional aquaculture methods have several drawbacks, such as environmental degradation, low economic efficiency, and ecological imbalance in aquatic areas. There is an urgent need to introduce industrialized methods and artificial intelligence (AI) concepts into aquaculture. Researching new industrialized recirculating aquaculture systems can improve water resource utilization efficiency, increase the yield and quality of aquatic products, reduce aquaculture costs, decrease environmental pollution, and promote economic development.

[0003] While some existing aquaculture systems can fulfill the functions of aquaculture to a certain extent, they still present challenges in disease management. Once a disease occurs in the aquaculture environment, it is difficult to introduce healthy fish into the population, thereby increasing the risk of disease transmission.

[0004] In summary, the challenges in disease management in some existing aquaculture systems have become urgent problems to be solved in this field. Therefore, it is necessary to propose an efficient recirculating aquaculture system. Summary of the Invention

[0005] To address the aforementioned issues, this invention provides a highly efficient recirculating aquaculture system. By real-time monitoring of pathogen indicators and the establishment of disease models, it can promptly detect and address pathogen accumulation, reducing the risk of disease outbreaks and ensuring the safety of aquaculture. Furthermore, the introduction of plastic biofilm surface detection technology further improves the accuracy and efficiency of disease control.

[0006] To achieve the above objectives, the technical solution of the present invention is as follows: A high-efficiency recirculating aquaculture system, comprising the following modules: The data acquisition and monitoring module is used to collect image information and actual aquaculture environment information in real time. The actual aquaculture environment information includes pH value information, oxygen content information, ammonia nitrogen content information, temperature information and light information. It also monitors the water flow path and pathogen indicators in the current aquaculture environment in real time, and obtains water flow path information and pathogen change monitoring information.

[0007] The data collection and monitoring module is also used to collect theoretical aquaculture environment information, theoretical aquaculture growth information, and disease occurrence probability information of similar aquaculture species through Internet big data.

[0008] The data processing module is used to filter and denoise image information, actual aquaculture environment information, water flow path information, and pathogen change monitoring information, and extract actual aquaculture species growth information and biological waste information from the filtered and denoised image information.

[0009] The model building module is used to establish environmental models, growth models, and disease models based on theoretical aquaculture environment information, theoretical aquaculture species growth information, and disease occurrence probability information. The actual aquaculture environment information, actual aquaculture species growth information, and pathogen change monitoring information after filtering and denoising are entered into the environmental model, growth model, and disease model, respectively.

[0010] The model building module is also used to build a water flow path model based on the RNG k-ε turbulence model, using water flow path information as a basis.

[0011] The threshold judgment module is used to set environmental thresholds, growth thresholds, and pathogen enrichment thresholds in the environmental model, growth model, and disease model, based on theoretical aquaculture environment information, theoretical aquaculture species growth information, and disease occurrence probability information. It compares the actual aquaculture environment information with the environmental thresholds to determine whether the current aquaculture environment meets the standards; compares the actual aquaculture species growth information with the growth thresholds to determine whether the aquaculture growth meets the standards; and compares pathogen change monitoring information with pathogen enrichment thresholds to determine whether the pathogen enrichment level in the current aquaculture environment meets the standards.

[0012] The threshold judgment module is also used to predict areas of pathogen enrichment based on water flow path models.

[0013] The control module is used to regulate the actual aquaculture environment when any one or more data points in the actual aquaculture environment information remain below the environmental threshold for 2 hours; to regulate the aquaculture program when the actual aquaculture species growth information remains below the growth threshold for 2 hours; and to regulate the pathogen enrichment when the pathogen change monitoring information remains above the pathogen enrichment threshold for 2 hours.

[0014] Furthermore, it also includes a water circulation module, which is used to realize the water circulation function in aquaculture.

[0015] Furthermore, the data acquisition and monitoring module includes the following units: an image data acquisition unit, used to acquire image information of aquatic organisms and biological waste produced by aquatic organisms in the current aquaculture environment, and send the acquired aquatic organism and biological waste image information to the data processing module; an environmental data acquisition unit, used to acquire pH, oxygen, ammonia nitrogen, temperature, and light information in the current environment, and send it to the data processing module; a water flow path monitoring unit, used to continuously monitor the water flow path in the current aquaculture environment, compile the water flow path information, and send the water flow path information to the data processing module; and a pathogen indicator monitoring unit, used to monitor the enrichment level and changes of pathogens in the current aquaculture environment in real time, compile the pathogen change monitoring information, and send the pathogen change monitoring information to the data processing module.

[0016] Furthermore, the threshold judgment module includes the following units: an aquaculture environment judgment unit, used to establish an environmental threshold in the environmental model based on theoretical aquaculture environment information, and to determine whether the current aquaculture environment meets the standards based on the environmental threshold; a growth condition judgment unit, used to establish a growth threshold in the growth model based on theoretical aquaculture species growth information, and to determine whether the current growth condition of the aquaculture species meets the standards based on the growth threshold; a pathogen enrichment judgment unit, used to establish a pathogen enrichment threshold in the disease model based on disease occurrence probability information, and to determine the degree of pathogen enrichment in the current aquaculture environment based on the pathogen enrichment threshold; and a pathogen enrichment prediction unit, used to predict the areas of pathogen enrichment based on the water flow path model.

[0017] Furthermore, the control module includes the following units: an environmental control unit, used to target and regulate the actual aquaculture environment when any one or more data points in the actual aquaculture environment information remain below the environmental threshold for 2 hours; a growth control unit, used to adjust the feeding interval, feeding amount, and feed ratio of aquaculture when the growth information of the actual aquaculture species remains below the growth threshold for 2 hours; and a disease control unit, used to add ozone to the current aquaculture environment to regulate pathogen accumulation when pathogen change monitoring information remains above the pathogen enrichment threshold for 2 hours.

[0018] Furthermore, the pathogen enrichment judgment unit uses plastic biofilm surface detection technology to determine the degree of pathogen enrichment.

[0019] Furthermore, the water flow path model is established based on the water flow dynamics model.

[0020] Furthermore, when extracting growth information of actual aquatic species, the data processing module analyzes the activity area of ​​aquatic products based on image information and combines it with the amount of food consumed by aquatic products to obtain the correlation between the amount of food consumed and the activity range of aquatic products.

[0021] Furthermore, after extracting information about biological waste, the data processing module analyzes the generation of biological waste based on image information. It sets a waste threshold through a threshold judgment module. When the generation of biological waste exceeds the waste threshold, the control module cleans and stores the biological waste.

[0022] Furthermore, the control module is also used to biodegrade the stored biological waste after it has been cleaned and stored.

[0023] The above approach has the following beneficial effects: 1. This invention, through real-time monitoring of pathogen indicators and the establishment of disease models, enables timely detection and handling of pathogen accumulation, reducing the risk of disease outbreaks and ensuring the safety of aquaculture. Simultaneously, the introduction of plastic biofilm surface detection technology further improves the accuracy and efficiency of disease control.

[0024] 2. This invention sets environmental thresholds, growth thresholds, and pathogen enrichment thresholds through a threshold judgment module. These thresholds are then compared with actual aquaculture environment information, actual aquaculture species growth information, and pathogen change monitoring information to accurately determine the compliance status of the aquaculture environment, the growth status of aquatic products, and the degree of pathogen enrichment.

[0025] 3. This invention, through its control module, can precisely regulate the aquaculture environment, aquaculture program, and pathogen accumulation based on threshold judgment results, optimizing aquaculture conditions and improving the yield and quality of aquatic products. Simultaneously, it can also clean, store, and biodegrade biological waste, reducing environmental pollution from biological waste while cleaning the aquaculture environment.

[0026] Additional aspects and advantages of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. Attached Figure Description

[0027] Figure 1 This is a schematic diagram of the structural framework of the high-efficiency recirculating aquaculture system of the present invention.

[0028] Figure 2 This is a schematic diagram of the structural framework of the data acquisition and monitoring module in the efficient recirculating aquaculture system of the present invention.

[0029] Figure 3This is a schematic diagram of the structural framework of the threshold judgment module in the efficient recirculating aquaculture system of the present invention.

[0030] Figure 4 This is a schematic diagram of the structural framework of the control module in the high-efficiency recirculating aquaculture system of the present invention. Detailed Implementation

[0031] The following detailed description illustrates the specific implementation method: Implementation, for example, attached Figure 1 , Figure 2 , Figure 3 and Figure 4 The diagram illustrates a high-efficiency recirculating aquaculture system, comprising: a data acquisition and monitoring module for real-time information collection and monitoring; a data processing module for data filtering, noise reduction, and information extraction; a model building module for establishing environmental, growth, disease, and water flow path models; a threshold judgment module for setting thresholds for each module and assessing the aquaculture environment, aquatic growth, and pathogen accumulation; a control module for regulating the aquaculture environment, aquaculture plan, and pathogen accumulation; and a water circulation module for implementing water circulation. In this embodiment, the data acquisition and monitoring module collects image information and actual aquaculture environment information every 15 minutes.

[0032] The specific functions of each module are as follows: The data acquisition and monitoring module is used to collect image information and actual aquaculture environment information in real time. The actual aquaculture environment information includes pH value information, oxygen content information, ammonia nitrogen content information, temperature information and light information. It also monitors the water flow path and pathogen indicators in the current aquaculture environment in real time, and obtains water flow path information and pathogen change monitoring information.

[0033] The data acquisition and monitoring module includes the following units: The image data acquisition unit is used to acquire image information of aquatic products in the current aquaculture environment, as well as image information of biological waste produced by aquatic products in the current aquaculture environment, and send the acquired image information of aquatic products and biological waste to the data processing module.

[0034] The environmental data acquisition unit is used to collect information on pH value, oxygen content, ammonia nitrogen content, temperature, and light intensity in the current environment, and then send it to the data processing module.

[0035] The water flow path monitoring unit is used to continuously monitor the water flow path in the current aquaculture environment, collect the water flow path information, and send the water flow path information to the data processing module.

[0036] The pathogen indicator monitoring unit is used to monitor the enrichment level and changes of pathogens in the current aquaculture environment in real time, compile pathogen change monitoring information, and send the pathogen change monitoring information to the data processing module.

[0037] The data collection and monitoring module is also used to collect theoretical aquaculture environment information, theoretical aquaculture growth information, and disease occurrence probability information of similar aquaculture species through Internet big data.

[0038] The data processing module is used to filter and denoise image information, actual aquaculture environment information, water flow path information, and pathogen change monitoring information, and extract actual aquaculture species growth information and biological waste information from the filtered and denoised image information.

[0039] When extracting growth information of actual aquaculture species, the data processing module analyzes the activity area of ​​aquaculture species based on image information and combines it with the feeding amount of aquaculture species to obtain the correlation between the feeding amount and the activity range of aquaculture species.

[0040] For example, when extracting growth information of aquaculture species, the data processing module first determines the area where the image information was collected, thereby identifying the location of the aquaculture species in the image. Based on the density of the aquaculture species in the image, it identifies areas of high-frequency activity and combines this with the feeding amount of the aquaculture species in that area to obtain the correlation between feeding amount and activity range. At this point, staff can compare the high-frequency activity areas of aquaculture species with other areas, analyze the advantages of high-frequency activity areas compared to other areas, and establish a data foundation for subsequent targeted regulation.

[0041] The model building module is used to establish environmental models, growth models, and disease models based on theoretical aquaculture environment information, theoretical aquaculture species growth information, and disease occurrence probability information. The actual aquaculture environment information, actual aquaculture species growth information, and pathogen change monitoring information after filtering and denoising are entered into the environmental model, growth model, and disease model, respectively.

[0042] The model building module is also used to build a water flow path model based on the water flow path information and the water flow dynamics model and the RNGk-ε turbulence model.

[0043] The threshold judgment module is used to set environmental thresholds, growth thresholds, and pathogen enrichment thresholds in the environmental model, growth model, and disease model, based on theoretical aquaculture environment information, theoretical aquaculture species growth information, and disease occurrence probability information. It compares the actual aquaculture environment information with the environmental thresholds to determine whether the current aquaculture environment meets the standards; compares the actual aquaculture species growth information with the growth thresholds to determine whether the growth status of the aquaculture species meets the standards; and compares pathogen change monitoring information with pathogen enrichment thresholds to determine whether the pathogen enrichment level in the current aquaculture environment meets the standards.

[0044] The threshold judgment module is also used to predict areas of pathogen enrichment based on water flow path models.

[0045] The threshold determination module includes the following units: The aquaculture environment judgment unit is used to establish environmental thresholds in the environmental model based on theoretical aquaculture environment information, and to judge whether the current aquaculture environment meets the standards based on the environmental thresholds.

[0046] The growth status judgment unit is used to establish a growth threshold in the growth model based on the theoretical growth information of aquaculture species, and to judge whether the current growth status of aquaculture species meets the standard based on the growth threshold.

[0047] The pathogen enrichment judgment unit is used to establish a pathogen enrichment threshold in the disease model based on the probability information of disease occurrence. Using the pathogen enrichment threshold as a benchmark, the degree of pathogen enrichment in the current aquaculture environment is judged by the detection technology of plastic biofilm surface.

[0048] For example, in this embodiment, workers cut 80μm thick polyethylene plastic biofilm into 5cm×5cm biofilm carriers and treated their surfaces with hydrophilicity to simulate biological attachment in the aquaculture environment. The aquaculture environment was then divided into several areas, and several biofilm carriers were placed in different areas of the aquaculture environment, with 3-5 biofilm carriers deployed in each area. After the biofilm carriers were placed, samples were collected from the biofilm carriers every 2 hours, and the surfaces of the biofilm carriers were rinsed with sterile saline solution, which was then collected. In this embodiment, the pathogen on the biofilm carriers was Vibrio.

[0049] After collecting the rinsing solution, staff used quantitative real-time PCR to analyze it and quantified the Vibrio concentration on the biofilm carrier surface by targeting the toxR gene. A pathogen enrichment threshold was also set. In this embodiment, the pathogen enrichment threshold was set to 500 CFU / cm². If the Vibrio concentration in any area consistently exceeded 500 CFU / cm² for 2 hours, the pathogen enrichment level in that area was considered excessive.

[0050] The pathogen enrichment prediction unit is used to predict areas of pathogen enrichment based on a water flow path model.

[0051] For example, when pathogens flow with water in an aquaculture environment, the water flow path model, based on a hydrodynamic model, can simulate the water flow path in real time, thereby simulating the location of pathogens in the water flow. By simulating the water flow, the location of slow-flowing areas and flow blind spots can be simulated, thus enabling the prediction of pathogen-rich areas. In this embodiment, during the real-time simulation of the water flow path, the water flow path model also determines the movement speed of pathogens based on the water flow velocity, and then predicts the movement trajectory of pathogens to achieve early prediction of pathogen-rich areas.

[0052] The control module is used to regulate the actual aquaculture environment when any one or more data points in the actual aquaculture environment information remain below the environmental threshold for 2 hours; to regulate the aquaculture program when the actual aquaculture species growth information remains below the growth threshold for 2 hours; and to regulate the pathogen enrichment when the pathogen change monitoring information remains above the pathogen enrichment threshold for 2 hours.

[0053] The control module includes the following units: The environmental control unit is used to target and regulate the actual aquaculture environment when any one or more data points in the actual aquaculture environment information remain below the environmental threshold for 2 hours.

[0054] For example, when the light intensity and temperature in the aquaculture environment information are consistently below the environmental threshold for one-third of a single aquaculture cycle, the aquaculture environment judgment unit determines that the current aquaculture environment does not meet the standards. At this time, the environmental control unit will adjust the actual aquaculture environment, using the environmental threshold as the standard, and specifically increase the actual light intensity and raise the temperature.

[0055] The growth control unit is used to adjust the feeding interval, feeding amount and feed ratio of aquaculture when the actual growth information of aquaculture species is continuously less than the growth threshold within 2 hours, so as to carry out targeted control of the aquaculture program.

[0056] For example, when the actual growth information of aquatic species is continuously less than the growth threshold within 2 hours, the growth condition judgment unit determines that the average individual size of the aquatic species has not reached the growth threshold. At this time, the growth control unit increases the nutrient ratio in the feed, shortens the feeding interval, and increases the amount of feed per feeding to ensure that the growth of the aquatic species can reach the growth threshold.

[0057] The disease control unit is used to add ozone to the current aquaculture environment to regulate the accumulation of pathogens when the pathogen change monitoring information remains above the pathogen enrichment threshold for 2 hours.

[0058] For example, when pathogen change monitoring information remains above the pathogen enrichment threshold for 2 hours, the pathogen enrichment judgment unit determines that the pathogen enrichment level is too high. At this time, the disease control unit adds ozone to the aquaculture environment to sterilize the aquaculture environment, reduce the pathogen enrichment level, and thus control the pathogen enrichment situation.

[0059] After extracting information about biological waste, the data processing module analyzes the generation of biological waste based on image information and sets a waste threshold through a threshold judgment module. When the generation of biological waste exceeds the waste threshold, the control module cleans and stores the biological waste, and then performs biodegradation treatment on the stored biological waste.

[0060] The water circulation module is used to realize the water circulation function in aquaculture.

[0061] For example, when the oxygen content in the aquaculture environment is insufficient, the environmental control unit and the water circulation module work together to accelerate the water circulation in the aquaculture environment and simultaneously perform oxygenation operations in the aquaculture environment, ensuring that the oxygen content increases while achieving uniform coverage of oxygen content in the water.

[0062] By monitoring pathogen indicators in real time and establishing disease models, pathogen accumulation can be detected and addressed promptly, reducing the risk of disease outbreaks and ensuring the safety of aquaculture. Meanwhile, the introduction of plastic biofilm surface detection technology further improves the accuracy and efficiency of disease control.

[0063] Obviously, the above embodiments are merely illustrative examples for clear explanation and are not intended to limit the implementation. Those skilled in the art will recognize that other variations or modifications can be made based on the above description. It is neither necessary nor possible to exhaustively list all possible implementations here. However, obvious variations or modifications derived therefrom are still within the scope of protection of this invention.

Claims

1. A high efficiency recirculating aquaculture system, characterized by, Comprise the following modules: The acquisition monitoring module is used for real-time acquisition of image information and actual breeding environment information in the current aquaculture environment, and the actual breeding environment information includes PH value information, oxygen content information, ammonia nitrogen content information, temperature information and illumination information, and real-time monitoring of the water flow path and pathogen index in the current aquaculture environment, to obtain water flow path information and pathogen change monitoring information; The acquisition monitoring module is also used for collecting theoretical breeding environment information, theoretical growth information and disease occurrence probability information of the same kind of aquaculture species through internet big data; The data processing module is used for filtering and denoising the image information, actual breeding environment information, water flow path information and pathogen change monitoring information, and extracting actual aquaculture species growth information and biological waste information from the filtered and denoised image information; The model establishing module is used for establishing an environment model, a growth model and a disease model based on the theoretical breeding environment information, the theoretical aquaculture species growth information and the disease occurrence probability information, and recording the actual breeding environment information, the actual aquaculture species growth information and the pathogen change monitoring information after filtering and denoising into the environment model, the growth model and the disease model respectively; The model establishing module is also used for establishing a water flow path model based on the RNG k-ε turbulence model based on the water flow path information; The threshold judgment module is used for setting an environment threshold, a growth threshold and a pathogen enrichment threshold in the environment model, the growth model and the disease model respectively based on the theoretical breeding environment information, the theoretical aquaculture species growth information and the disease occurrence probability information, comparing the actual breeding environment information with the environment threshold to judge whether the current aquaculture environment meets the standard, comparing the actual aquaculture species growth information with the growth threshold to judge whether the growth of the aquatic product meets the standard, and comparing the pathogen change monitoring information with the pathogen enrichment threshold to judge whether the pathogen enrichment degree of the current aquaculture environment meets the standard; The threshold judgment module is also used for predicting the area of pathogen enrichment based on the water flow path model; The control module is used for controlling the actual breeding environment when any one or more data in the actual breeding environment information is below the environment threshold for 2 hours, controlling the breeding scheme of the aquatic product when the actual aquaculture species growth information is less than the growth threshold for 2 hours, and controlling the enrichment of the pathogen when the pathogen change monitoring information is above the pathogen enrichment threshold for 2 hours.

2. The recirculating aquaculture system of claim 1, wherein, It also includes a water circulation module for realizing the water circulation function in aquaculture.

3. The recirculating aquaculture system of claim 2, wherein, The acquisition monitoring module comprises the following units: The image data acquisition unit is used for acquiring image information of the aquatic product in the current aquaculture environment, and image information of biological waste produced by the aquatic product in the current aquaculture environment, and sending the acquired image information of the aquatic product and the image information of the biological waste to the data processing module; An environmental data collection unit is configured to collect PH value information, oxygen content information, ammonia nitrogen content information, temperature information and illumination information in a current environment and send the information to the data processing module; A water flow path monitoring unit is configured to continuously monitor a water flow path in a current aquaculture environment, to obtain water flow path information, and to send the water flow path information to the data processing module; A pathogen index monitoring unit is configured to monitor a pathogen enrichment level and change information in the current aquaculture environment in real time, to obtain pathogen change monitoring information, and to send the pathogen change monitoring information to the data processing module.

4. The recirculating aquaculture system of claim 3, wherein, The threshold judgment module includes the following units: An aquaculture environment judgment unit is configured to establish an environmental threshold in an environmental model based on theoretical aquaculture environment information, and to judge whether the current aquaculture environment meets the standard based on the environmental threshold; A growth condition judgment unit is configured to establish a growth threshold in a growth model based on theoretical aquaculture species growth information, and to judge whether the growth condition of the current aquaculture species meets the standard based on the growth threshold; A pathogen enrichment judgment unit is configured to establish a pathogen enrichment threshold in a disease model based on disease occurrence probability information, and to judge the pathogen enrichment level of the current aquaculture environment based on the pathogen enrichment threshold; A pathogen enrichment prediction unit is configured to predict a pathogen enrichment area based on a water flow path model.

5. The recirculating aquaculture system of claim 4, wherein, The control module includes the following units: An environmental control unit is configured to perform targeted control on the actual aquaculture environment when any one or more data in the actual aquaculture environment information continuously falls below the environmental threshold within 2 hours, with the data below the environmental threshold as the control target; A growth control unit is configured to perform targeted control on the aquaculture scheme of the aquatic animals by adjusting the feeding interval, feeding amount and feed ratio of the aquatic animals when the actual aquaculture species growth information continuously falls below the growth threshold within 2 hours; A disease control unit is configured to add ozone to the current aquaculture environment to control the pathogen enrichment when the pathogen change monitoring information continuously falls above the pathogen enrichment threshold within 2 hours.

6. The recirculating aquaculture system of claim 5, wherein, The pathogen enrichment judgment unit uses a plastic biofilm surface detection technology when judging the pathogen enrichment level.

7. The recirculating aquaculture system of claim 6, wherein, The water flow path model is established based on a water flow dynamics model.

8. The recirculating aquaculture system of claim 7, wherein, When extracting the actual aquaculture species growth information, the data processing module analyzes the activity area of the aquatic animals based on image information, and combines the activity area with the feeding amount of the aquatic animals to obtain the correlation between the feeding amount and the activity area of the aquatic animals.

9. The recirculating aquaculture system of claim 8, wherein, After extracting the biological waste information, the data processing module analyzes the generation of the biological waste based on image information, sets a waste threshold through the threshold judgment module, and cleans and stores the biological waste through the targeted control module when the generation of the biological waste is greater than the waste threshold.

10. The recirculating aquaculture system of claim 9, wherein, The targeted control module is also configured to biodegrade the stored biological waste after cleaning and storing the biological waste.

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