Aquatic product recirculating aquaculture device and system based on intelligent control

Abstract

The invention relates to the technical field of aquatic product culture, in particular to an aquatic product circulating aquaculture device and system based on intelligent control. The system comprises an intelligent control server which is used for receiving and processing data from a water quality sensor and AI camera monitoring equipment and generating a control instruction according to a preset algorithm so as to realize accurate management of a breeding environment; the water quality treatment system comprises a biological filtration device, a physical filtration device, an ozone sterilization device and an automatic pollution discharge device, and is used for performing multiple treatment on the aquaculture water body. According to the system, the water quality parameters are accurately regulated and controlled, intelligent feeding is achieved, the aquatic product circulating water culture environment is optimized, healthy growth of aquatic products is ensured, meanwhile, the disease risk is effectively reduced through a disease early warning and quick response mechanism, and culture losses are reduced. Due to the high-automation design, manual intervention is greatly reduced, the working efficiency is improved, the environmental protection target of energy conservation and emission reduction is achieved, and sustainable development of the breeding industry is promoted.

Description

Technical Field

[0001] The present invention relates to the technical field of aquatic product breeding, and in particular to an aquatic product circulating water breeding device and system based on intelligent control. Background Art

[0002] With the growth of global population and the improvement of consumption level, the demand for aquatic products is increasing, and aquaculture has become one of the important sources of food. However, traditional aquaculture faces multiple challenges, mainly including the following aspects:

[0003] In traditional aquaculture, water quality management often relies on manual experience and regular testing, which is not only time-consuming and labor-intensive, but also difficult to achieve real-time monitoring and precise regulation. Fluctuations in water quality parameters directly affect the health and growth of farmed organisms, and thus affect farming efficiency.

[0004] Under the high-density breeding model, if the waste generated by feed feeding, fish excretion, etc. is not treated promptly and effectively, it will lead to eutrophication of the aquaculture water, cause algae outbreaks, water quality deterioration and other problems, and seriously pollute the aquaculture environment.

[0005] Traditional aquaculture has a large waste of resources in feed feeding, water quality treatment and other aspects. For example, excessive feed feeding will lead to the accumulation of residual bait, increasing the risk of water pollution; improper water quality treatment will lead to waste of water resources and increased energy consumption. Compared with other industries, the level of intelligence in the aquaculture industry is generally low, lacking efficient and accurate intelligent management systems. Most of the existing recirculating aquaculture systems lack intelligent control methods, making it difficult to achieve accurate management of key links such as water quality, diseases, and feed feeding. For this reason, we propose a recirculating aquaculture device and system for aquatic products based on intelligent control. Summary of the invention

[0006] The purpose of the present invention is to provide a circulating water culture device and system for aquatic products based on intelligent control to solve the problems raised in the above-mentioned background technology.

[0007] In order to solve the above technical problems, the present invention adopts the following technical solutions:

[0008] A circulating water aquaculture device for aquatic products based on intelligent control, including an intelligent control server for receiving and processing data from water quality sensors and AI camera monitoring equipment, and generating control instructions according to a preset algorithm to achieve accurate management of the aquaculture environment;

[0009] The water quality treatment system includes a biological filter, a physical filter, an ozone sterilization device, and an automatic sewage discharge device, which is used to perform multiple treatments on the aquaculture water and adjust the working state according to the instructions of the intelligent control server to maintain the water quality balance;

[0010] Intelligent monitoring module, including water body detection module, feeding monitoring module and disease monitoring module, which are used to monitor water quality parameters, fish feeding status and behavior characteristics, and disease risks in real time, and transmit the monitoring data to the intelligent control server;

[0011] Circulating water pipeline system is used to realize the circulation and reuse of aquaculture water and improve the water circulation efficiency;

[0012] Soft water bag pool body, used as a carrier for aquatic products.

[0013] Preferably, the intelligent control server includes:

[0014] A data receiving unit, used for receiving data from each monitoring module;

[0015] The data processing unit has built-in intelligent feeding algorithms, disease warning algorithms, and prediction models based on historical data, which are used to generate control instructions based on the received data;

[0016] The control instruction sending unit is used to send control instructions to the water quality treatment system and the bait feeding control device actuator.

[0017] Preferably, the water treatment system further comprises:

[0018] Water quality balance regulating device, used to adjust the pH value, salinity and other parameters in the water body according to water quality data to maintain stable water quality;

[0019] The automatic sewage discharge device is used to automatically discharge the treated waste regularly or according to the water quality conditions.

[0020] Preferably, the eating monitoring module includes:

[0021] AI camera, used to capture and analyze fish feeding status and behavioral characteristics;

[0022] The bait feeding control device intelligently adjusts the bait feeding amount according to the analysis results of the AI ​​camera and the intelligent feeding algorithm.

[0023] Preferably, the disease monitoring module comprises:

[0024] a disease recognition unit to identify early signs of fish disease;

[0025] The data analysis and diagnosis unit combines aquaculture water environment data, fish behavioral characteristics and disease databases, uses pattern recognition and deep learning algorithms to intelligently diagnose disease types and provide prevention and control recommendations.

[0026] A circulating water aquaculture system for aquatic products based on intelligent control, applicable to a circulating water aquaculture device for aquatic products based on intelligent control, including a data storage and analysis module for storing all monitoring data and continuously optimizing control strategies through big data analysis;

[0027] User interaction interface, used to display the breeding status, receive user instructions, and feedback the system operation status, supporting remote access and control;

[0028] As well as the water quality control algorithm and dissolved oxygen concentration control algorithm in the intelligent control server.

[0029] Preferably, an emergency response module is also included, which is used to automatically trigger an alarm and start an emergency treatment process when serious water quality problems, disease outbreaks or other emergency situations are detected.

[0030] Preferably, the water quality control algorithm is used to calculate and adjust the pH value in the water body to a target range, and the expression is:

[0031] Adjustment amount = K pH ×(pH target -pH current )

[0032] Where K pH To adjust the rate, pH target is the target pH value, pH current is the currently measured pH value.

[0033] Preferably, the dissolved oxygen concentration control algorithm is used to calculate and adjust the dissolved oxygen concentration in the water body to a target range, and the expression is:

[0034] Adjustment amount = K DO ×(DO target -DO current )

[0035] Where K DO To adjust the rate, DO target is the target dissolved oxygen concentration, DO current is the currently measured dissolved oxygen concentration.

[0036] It can be seen without a doubt that the above-mentioned technical solution of the present application can definitely solve the technical problem to be solved by the present application.

[0037] At the same time, through the above technical solutions, the present invention has at least the following beneficial effects:

[0038] The invention optimizes the aquaculture environment of aquatic products by precisely controlling water quality parameters and intelligent feeding, ensuring the healthy growth of aquatic products. At the same time, the disease early warning and rapid response mechanism effectively reduce the risk of disease and reduce aquaculture losses. The highly automated design greatly reduces manual intervention, improves work efficiency, achieves the environmental protection goals of energy conservation and emission reduction, and promotes the sustainable development of the aquaculture industry. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying any creative work.

[0040] Figure 1 It is a structural schematic diagram of the present invention;

[0041] Figure 2 Schematic diagram of the intelligent control server of the present invention. DETAILED DESCRIPTION

[0042] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0043] Example 1

[0044] Reference Figure 1-2 , a circulating water aquaculture device for aquatic products based on intelligent control, including an intelligent control server for receiving and processing data from water quality sensors and AI camera monitoring equipment, and generating control instructions according to a preset algorithm to achieve accurate management of the aquaculture environment;

[0045] The water quality treatment system includes a biological filter, a physical filter, an ozone sterilization device, and an automatic sewage discharge device, which is used to perform multiple treatments on the aquaculture water and adjust the working state according to the instructions of the intelligent control server to maintain the water quality balance;

[0046] Intelligent monitoring module, including water body detection module, feeding monitoring module and disease monitoring module, which are used to monitor water quality parameters, fish feeding status and behavior characteristics, and disease risks in real time, and transmit the monitoring data to the intelligent control server;

[0047] Circulating water pipeline system is used to realize the circulation and reuse of aquaculture water and improve the water circulation efficiency;

[0048] The soft water bag tank body serves as a carrier for aquatic products;

[0049] Comprehensive management is carried out using intelligent control servers to achieve all-round monitoring and precise adjustment of the breeding environment. The water quality treatment system reduces the risk of disease with its multiple purification capabilities, thereby ensuring a high-quality growth environment for aquatic products. The intelligent monitoring unit continuously tracks the core indicators of the breeding process, providing a solid data foundation for intelligent control strategies, greatly improving the scientific nature and accuracy of breeding management. In addition, the circulating water network system significantly optimizes the water quality circulation efficiency and promotes the maximum recycling of water resources. The specially designed soft water bag pool body not only incorporates the consideration of water quality circulation optimization, precise temperature control and fish growth characteristics, but also builds an ideal growth space for aquatic products, ensuring their healthy and rapid growth.

[0050] The intelligent control server includes:

[0051] A data receiving unit, used for receiving data from each monitoring module;

[0052] The data processing unit has built-in intelligent feeding algorithms, disease warning algorithms, and prediction models based on historical data, which are used to generate control instructions based on the received data;

[0053] The control instruction sending unit is used to send control instructions to the water quality treatment system and the bait feeding control device actuator. The modular design of the intelligent control server makes data processing more efficient, can quickly respond to changes in the breeding environment, and generate accurate control instructions.

[0054] The built-in intelligent feeding algorithm, disease warning algorithm and prediction model improve the intelligence level of breeding management and reduce the risk of human operation.

[0055] The precise execution of the control instruction sending unit ensures that the actuators such as the water quality treatment system and the bait feeding control device can operate according to the predetermined plan, thus improving the execution of aquaculture management.

[0056] The water treatment system also includes:

[0057] Water quality balance regulating device, used to adjust the pH value, salinity and other parameters in the water body according to water quality data to maintain stable water quality;

[0058] The automatic sewage discharge device is used to automatically discharge treated waste regularly or according to water quality conditions. The addition of the water quality balance adjustment device makes water quality control more precise, and can automatically adjust key parameters such as pH value and salinity according to real-time water quality data to maintain stable water quality.

[0059] The regular or on-demand sewage discharge function of the automatic sewage discharge device effectively removes harmful substances in the aquaculture water, reduces water pollution, and maintains the cleanliness of the aquaculture environment.

[0060] The eating monitoring module includes:

[0061] AI camera, used to capture and analyze fish feeding status and behavioral characteristics;

[0062] The bait feeding control device intelligently adjusts the bait feeding amount according to the analysis results of the AI ​​camera and the intelligent feeding algorithm. The application of the AI ​​camera realizes the accurate capture and analysis of the feeding status and behavioral characteristics of fish, providing a scientific basis for intelligent feeding.

[0063] The bait feeding control device intelligently adjusts the bait feeding amount according to the analysis results of the AI ​​camera and the intelligent feeding algorithm, which not only meets the growth needs of fish but also avoids bait waste.

[0064] Disease surveillance modules include:

[0065] a disease recognition unit to identify early signs of fish disease;

[0066] The data analysis and diagnosis unit combines aquaculture water environment data, fish behavior characteristics and disease databases, uses pattern recognition and deep learning algorithms to intelligently diagnose disease types and provide prevention and control suggestions. The rapid response capability of the disease identification unit can detect and warn fish diseases in the early stages, reducing the risk of disease spread. The data analysis and diagnosis unit combines multiple data sources and intelligent algorithms to improve the accuracy and timeliness of disease diagnosis, providing strong support for disease prevention and control.

[0067] Example 2

[0068] A circulating water aquaculture system for aquatic products based on intelligent control, applicable to a circulating water aquaculture device for aquatic products based on intelligent control, including a data storage and analysis module for storing all monitoring data and continuously optimizing control strategies through big data analysis;

[0069] User interaction interface, used to display the breeding status, receive user instructions, and feedback the system operation status, supporting remote access and control;

[0070] As well as the water quality control algorithm and dissolved oxygen concentration control algorithm in the intelligent control server, the introduction of the data storage and analysis module enables all data in the breeding process to be comprehensively recorded and analyzed, providing rich data support for optimizing control strategies.

[0071] The friendly design of the user interface enables managers to easily understand the breeding status, receive system feedback and remotely control equipment, improving the convenience of breeding management.

[0072] The integrated water quality control algorithm and dissolved oxygen concentration control algorithm further improve the intelligent level of water quality management and ensure the growth environment of aquatic products.

[0073] It also includes an emergency response module, which is used to automatically trigger an alarm and start the emergency treatment process when serious water quality problems, disease outbreaks or other emergency situations are detected. The addition of the emergency response module enhances the ability of the aquaculture system to respond to emergencies. It can respond quickly and start the emergency treatment process when serious water quality problems, disease outbreaks and other emergencies are detected, thereby reducing aquaculture losses.

[0074] The water quality control algorithm is used to calculate and adjust the pH value in the water body to the target range. The expression is:

[0075] Adjustment amount = K pH ×(pH target -pH current )

[0076] Where K pH To adjust the rate, pH target is the target pH value, pH current is the currently measured pH value;

[0077] The algorithm can adjust the pH value in the water to the target range in real time, ensuring that the pH value of the aquaculture water is in the most suitable state for fish growth, thereby improving aquaculture efficiency and fish survival rate.

[0078] Stable pH value is one of the important indicators of stable water quality. Through the application of this algorithm, the adverse effects on fish caused by excessive pH fluctuations can be effectively avoided and the overall stability of water quality can be maintained.

[0079] In traditional farming, the adjustment of pH value often requires manual experience and frequent testing. The application of this algorithm realizes automatic regulation, reduces the frequency and cost of manual intervention, and improves the efficiency of farming management.

[0080] As part of the intelligent control aquaculture system for aquatic products, the application of this algorithm further improves the intelligence level of the system, making the entire breeding process more scientific and efficient.

[0081] The dissolved oxygen concentration control algorithm is used to calculate and adjust the dissolved oxygen concentration in the water body to the target range. The expression is:

[0082] Adjustment amount = K DO ×(DO target -DO current )

[0083] Where K DO To adjust the rate, DO target is the target dissolved oxygen concentration, DOcurrent is the currently measured dissolved oxygen concentration;

[0084] Dissolved oxygen concentration is one of the key factors affecting fish growth and survival. The algorithm can adjust the dissolved oxygen concentration in the water to the target range in real time through precise calculation formulas, ensuring that fish have adequate oxygen supply, thereby improving their growth rate and health level. Appropriate dissolved oxygen concentration helps improve the breeding environment, reduce the accumulation of harmful substances, and improve the self-purification ability of the water body. This helps reduce the incidence of diseases and improve breeding benefits.

[0085] In the process of regulating dissolved oxygen concentration, the algorithm can adjust the operating status of the oxygen supply equipment according to actual needs to avoid unnecessary energy waste. This helps to reduce breeding costs and improve energy efficiency.

[0086] The application of this algorithm enables the system to automatically adjust the set value of dissolved oxygen concentration according to changes in factors such as seasons, weather and aquaculture density, thereby enhancing the adaptability and stability of the system.

[0087] From the above, we can know that:

[0088] The present invention is directed to the technical problem that in traditional aquaculture, water quality management often relies on manual experience and regular testing. This method is not only time-consuming and labor-intensive, but also difficult to achieve real-time monitoring and precise control. Fluctuations in water quality parameters directly affect the health and growth of farmed organisms, and thus affect the benefits of farming. In high-density farming mode, if waste generated by feed feeding, fish excretion, etc. cannot be promptly and effectively treated, it will lead to eutrophication of the aquaculture water body, causing algae outbreaks, water quality deterioration and other problems, and seriously pollute the aquaculture environment. Traditional aquaculture has a large waste of resources in terms of feed feeding and water quality treatment. For example, excessive feed feeding will lead to accumulation of residual bait and increase the risk of water pollution; improper water quality treatment will lead to waste of water resources and increased energy consumption. Compared with other industries, the level of intelligence in the aquaculture industry is generally low, lacking efficient and accurate intelligent management systems. Most of the existing recirculating aquaculture systems lack intelligent control means, making it difficult to achieve precise management of key links such as water quality, disease, and feed feeding. By adopting the technical solutions of the above embodiments and through the above settings, this application will inevitably solve the above technical problems and achieve the following technical effects:

[0089] The invention optimizes the aquaculture environment of aquatic products by precisely controlling water quality parameters and intelligent feeding, ensuring the healthy growth of aquatic products. At the same time, the disease early warning and rapid response mechanism effectively reduce the risk of disease and reduce aquaculture losses. The highly automated design greatly reduces manual intervention, improves work efficiency, achieves the environmental protection goals of energy conservation and emission reduction, and promotes the sustainable development of the aquaculture industry.

[0090] In the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", "connected", "fixed" and the like should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral one; it can be a mechanical connection, an electrical connection, or communication with each other; it can be a direct connection, or an indirect connection through an intermediate medium, it can be the internal connection of two elements or the interaction relationship between two elements, unless otherwise clearly defined. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0091] Obviously, the embodiments described above are only some embodiments of the present invention, rather than all embodiments. The preferred embodiments of the present invention are given in the accompanying drawings, but they do not limit the patent scope of the present invention. The present invention can be implemented in many different forms. On the contrary, the purpose of providing these embodiments is to make the understanding of the disclosure of the present invention more thorough and comprehensive. Although the present invention has been described in detail with reference to the aforementioned embodiments, for those skilled in the art, it is still possible to modify the technical solutions recorded in the aforementioned specific embodiments, or to perform equivalent replacements for some of the technical features therein. Any equivalent structure made using the contents of the specification and drawings of the present invention, directly or indirectly used in other related technical fields, is also within the scope of patent protection of the present invention.

Claims

1. A circulating water aquaculture device for aquatic products based on intelligent control, characterized in that: It includes an intelligent control server that receives and processes data from water quality sensors and AI camera monitoring equipment, and generates control instructions based on preset algorithms to achieve precise management of the aquaculture environment; The water quality treatment system includes a biological filter, a physical filter, an ozone sterilization device, and an automatic sewage discharge device, which is used to perform multiple treatments on the aquaculture water and adjust the working state according to the instructions of the intelligent control server to maintain the water quality balance; Intelligent monitoring module, including water body detection module, feeding monitoring module and disease monitoring module, which are used to monitor water quality parameters, fish feeding status and behavior characteristics, and disease risks in real time, and transmit the monitoring data to the intelligent control server; Circulating water pipeline system is used to realize the circulation and reuse of aquaculture water and improve the water circulation efficiency; Soft water bag pool body, used as a carrier for aquatic products.

2. The aquatic product circulating water aquaculture device based on intelligent control according to claim 1 is characterized in that: The intelligent control server comprises: A data receiving unit, used for receiving data from each monitoring module; The data processing unit has built-in intelligent feeding algorithms, disease warning algorithms, and prediction models based on historical data, which are used to generate control instructions based on the received data; The control instruction sending unit is used to send control instructions to the water quality treatment system and the bait feeding control device actuator.

3. The aquatic product circulating water aquaculture device based on intelligent control according to claim 1 is characterized in that: The water treatment system also includes: Water quality balance regulating device, used to adjust the pH value, salinity and other parameters in the water body according to water quality data to maintain stable water quality; The automatic sewage discharge device is used to automatically discharge the treated waste regularly or according to the water quality conditions.

4. The aquatic product circulating water aquaculture device based on intelligent control according to claim 1 is characterized in that: The eating monitoring module comprises: AI camera, used to capture and analyze fish feeding status and behavioral characteristics; The bait feeding control device intelligently adjusts the bait feeding amount according to the analysis results of the AI ​​camera and the intelligent feeding algorithm.

5. The aquatic product circulating water culture device based on intelligent control according to claim 1 is characterized in that: The disease monitoring module comprises: a disease recognition unit to identify early signs of fish disease; The data analysis and diagnosis unit combines aquaculture water environment data, fish behavioral characteristics and disease databases, uses pattern recognition and deep learning algorithms to intelligently diagnose disease types and provide prevention and control recommendations.

6. A circulating aquaculture system for aquatic products based on intelligent control, applicable to a circulating aquaculture device for aquatic products based on intelligent control as claimed in any one of claims 1 to 5, characterized in that: Includes data storage and analysis module, which is used to store all monitoring data and continuously optimize control strategies through big data analysis; User interaction interface, used to display the breeding status, receive user instructions, and feedback the system operation status, supporting remote access and control; As well as the water quality control algorithm and dissolved oxygen concentration control algorithm in the intelligent control server.

7. The aquatic product circulating water aquaculture system based on intelligent control according to claim 6 is characterized in that: It also includes an emergency response module that automatically triggers alarms and initiates emergency response procedures when serious water quality issues, disease outbreaks or other emergency situations are detected.

8. The aquatic product circulating water aquaculture system based on intelligent control according to claim 6 is characterized in that: The water quality control algorithm is used to calculate and adjust the pH value in the water body to the target range, and the expression is: Adjustment amount = K pH ×(pH target -pH current ) Where K pH To adjust the rate, pH target is the target pH value, pH current is the currently measured pH value.

9. The aquatic product circulating water aquaculture system based on intelligent control according to claim 6, characterized in that: The dissolved oxygen concentration control algorithm is used to calculate and adjust the dissolved oxygen concentration in the water body to the target range, and the expression is: Adjustment amount = K DO ×(DO target -DO current ) Where K DO To adjust the rate, DO target is the target dissolved oxygen concentration, DO current is the currently measured dissolved oxygen concentration.

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