Intelligent aquaculture control system and method

Abstract

The invention discloses an intelligent aquaculture control system and method, and particularly relates to the field of aquaculture control. Environmental monitoring data of a culture water body is obtained, and whether the water quality of the culture water body meets a preset water quality requirement is analyzed and judged according to the data. When the water quality of the aquaculture water body does not meet the preset water quality requirement, the water body is automatically adjusted according to the water quality requirement data, and a water body optimization record is generated. And by analyzing the water body optimization effect, generating a water body state regulation and control effect record. And acquiring growth state data of the cultured organisms, comprehensively evaluating the health condition of the cultured organisms in combination with the water body regulation and control effect, and generating a growth health evaluation result. And when the evaluation result shows that the health risk exists, a health early warning notification is sent, and a corresponding management suggestion is provided for a manager, so that intelligent control and risk early warning in the culture process are realized, and the aquaculture efficiency and the health level of cultured organisms are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of aquaculture control, and more specifically, to an intelligent aquaculture control system and method. Background Art

[0002] With the rapid development of aquaculture, the scale of aquaculture has continued to expand, and the health management of water environment and farmed organisms has gradually become an important factor in aquaculture efficiency and output quality. However, the water environment is easily affected by a variety of factors such as temperature, pollutants, dissolved oxygen, and changes in water quality often have a direct impact on the health of farmed organisms. Traditional aquaculture management methods rely on manual monitoring and manual adjustments, which are not only inefficient but also prone to delayed reactions. It is difficult to respond to sudden changes in water quality or abnormal health status of farmed organisms in a timely manner, resulting in increased aquaculture risks.

[0003] In order to solve the above problems, a technical solution is now provided. Summary of the invention

[0004] In order to overcome the above-mentioned defects of the prior art, the embodiments of the present invention provide an intelligent aquaculture control system and method to solve the problems raised in the above-mentioned background technology.

[0005] To achieve the above object, the present invention provides the following technical solutions:

[0006] An intelligent aquaculture control method comprises the following steps:

[0007] Obtain environmental monitoring data of aquaculture water bodies, analyze the environmental status of the water bodies, and determine whether the water quality of aquaculture water bodies meets the preset water quality requirements;

[0008] When it is determined that the water quality of the aquaculture water body does not meet the preset water quality requirements, the aquaculture water body is adjusted according to the water quality demand data to obtain a water body optimization record;

[0009] Analyze the water quality control effect of the aquaculture water body according to the water body optimization record to obtain the water body state control effect record;

[0010] According to the execution time and frequency of the control operation in the water state control effect record, the immediate response effect and sustained stability of the control measures on environmental parameters are evaluated;

[0011] Compare the changes in environmental parameters at different execution time points of the control operation in the water state control effect record, and evaluate the response speed of the control measures to the environmental parameters;

[0012] Based on the frequency of regulation operations in the records of water state regulation effects, the impact of frequent regulation on the sustained stability of environmental parameters is evaluated;

[0013] Obtain the growth status data of farmed organisms in the breeding environment, conduct a comprehensive assessment of the growth of farmed organisms based on the immediate response effect and sustained stability of regulatory measures on environmental parameters, and generate growth health assessment results;

[0014] When the growth health assessment results show that there is a health risk to the farmed organisms, a health warning notification will be sent to the farming managers and corresponding management suggestions will be provided.

[0015] In a preferred embodiment, environmental monitoring data of aquaculture water bodies are obtained, the environmental status of the water bodies is analyzed, and it is determined whether the water quality of the aquaculture water bodies meets the preset water quality requirements, specifically:

[0016] Obtain environmental monitoring data of aquaculture water, including water temperature, pH value, dissolved oxygen concentration, ammonia nitrogen concentration and water turbidity;

[0017] Collect statistics on the environmental monitoring data of aquaculture water bodies and calculate the average value, range of variation and fluctuation of each environmental parameter;

[0018] Compare the statistical results of various environmental parameters with the preset water quality standards to determine whether the water temperature, pH value, dissolved oxygen concentration, ammonia nitrogen concentration and water turbidity are within the preset healthy breeding range;

[0019] When one or more environmental parameters exceed the preset healthy breeding range, it is determined that the water quality of the current breeding water body does not meet the preset water quality requirements, and the parameters that exceed the range are recorded.

[0020] In a preferred embodiment, when it is determined that the water quality of the aquaculture water body does not meet the preset water quality requirements, the aquaculture water body is adjusted according to the water quality demand data to obtain a water body optimization record, specifically:

[0021] Determine the environmental parameters that need to be adjusted based on water quality demand data, including those that exceed the preset healthy aquaculture range;

[0022] Select corresponding regulating equipment and control measures according to the environmental parameters that need to be adjusted;

[0023] Execute corresponding regulation measures according to the corresponding regulation equipment, regulate and control the aquaculture water body, and adjust the environmental parameters to the preset healthy aquaculture range;

[0024] During the adjustment process, record the specific information of each adjustment operation, including the adjusted environmental parameters, the use of the adjustment equipment, the operation time and the adjusted environmental parameters;

[0025] Generate water optimization records, including environmental parameters before adjustment and specific information on control operations.

[0026] In a preferred embodiment, the water quality control effect of the aquaculture water body is analyzed according to the water body optimization record to obtain the water body state control effect record, specifically:

[0027] Based on the environmental parameters before and after the adjustment in the water body optimization records, compare the changes in water quality before and after the regulation to confirm the improvement in water quality after the regulation;

[0028] Calculate key indicators of water regulation effects and evaluate the effectiveness of regulation operations;

[0029] The evaluation results of the regulation effects are summarized, including the water quality improvement after regulation, to generate a record of the regulation effects on water status.

[0030] In a preferred embodiment, the changes in environmental parameters at different execution time points of the control operation in the water state control effect record are compared to evaluate the response speed of the control measures to the environmental parameters, specifically:

[0031] Obtain records of water state control effects and record environmental parameters of control operations at different time points;

[0032] Compare the changing trends of environmental parameters at different execution time points of the control operation to determine the differences in environmental parameters before and after the control operation;

[0033] Based on the differences in environmental parameters before and after the regulation operation, the rate of change of environmental parameters at each time point is calculated;

[0034] By comparing the rates of change of environmental parameters, the immediate response effects of regulatory measures on environmental parameters can be evaluated.

[0035] In a preferred embodiment, based on the frequency of the regulation operation in the water state regulation effect record, the impact of frequent regulation on the sustained stability of environmental parameters is evaluated, specifically:

[0036] Obtain records of water state control effects and record environmental parameters of control operations at different time points;

[0037] Compare the changes in environmental parameters at different time points to determine the changing trends of environmental parameters before and after the control operation;

[0038] Based on the changing trends of environmental parameters, evaluate the impact of frequent adjustments on the continued stability of environmental parameters.

[0039] In a preferred embodiment, the growth status data of the cultured organisms in the culture environment is obtained, and based on the immediate response effect and sustained stability of the control measures on the environmental parameters, the growth of the cultured organisms is comprehensively evaluated to generate a growth health assessment result, specifically:

[0040] Obtain growth status data of farmed organisms, including growth rate, weight change, and food intake;

[0041] Based on the immediate response and sustained stability of the control measures on environmental parameters, evaluate the impact of water quality control on the growth status of aquaculture organisms and determine whether the improvement in water quality after control is helpful to improve the aquaculture environment;

[0042] Compare the growth status data with the healthy growth standards to determine whether the health level and growth status of the cultured organisms meet the expected requirements;

[0043] The growth health assessment results are generated by combining the assessment results of the impact of water quality control on the growth status of farmed organisms and the comparison results of growth status data with healthy growth standards.

[0044] In a preferred embodiment, when the growth health assessment results show that the farmed organisms have health risks, a health warning notification is sent to the farm management personnel, and corresponding management suggestions are provided, specifically:

[0045] According to the level of health risk in the growth and health assessment results, determine whether the health risk has reached the warning threshold;

[0046] When the health risk reaches the warning threshold, the management system sends a health warning notification to the breeding management personnel;

[0047] Based on the level of health risk, corresponding management recommendations are provided, including water quality control recommendations, growth environment optimization measures, and feeding program adjustments.

[0048] On the other hand, the present invention provides an intelligent aquaculture control system, including an environmental monitoring module, a water quality adjustment module, a control effect analysis module, a response speed evaluation module, a stability evaluation module, a growth status evaluation module and an early warning notification module.

[0049] The environmental monitoring module is used to obtain environmental monitoring data of aquaculture water bodies, analyze the environmental status of the water bodies, and determine whether the water quality of the aquaculture water bodies meets the preset water quality requirements;

[0050] The water quality adjustment module is used to adjust the aquaculture water body according to the water quality demand data to obtain the water body optimization record when it is determined that the water quality of the aquaculture water body does not meet the preset water quality requirements;

[0051] The control effect analysis module is used to analyze the control effect of the water quality of the aquaculture water body according to the water body optimization record to obtain the water body state control effect record; it is used to evaluate the immediate response effect and continuous stability of the control measures on the environmental parameters according to the execution time and adjustment frequency of the control operation in the water body state control effect record;

[0052] The response speed evaluation module is used to compare the changes in environmental parameters at different execution time points of the control operation in the water state control effect record, and evaluate the response speed of the control measures to the environmental parameters;

[0053] The stability assessment module is used to assess the impact of frequent adjustments on the sustained stability of environmental parameters based on the adjustment frequency of the control operation in the water state control effect record;

[0054] The growth status assessment module is used to obtain the growth status data of the farmed organisms in the farming environment, conduct a comprehensive assessment of the growth of the farmed organisms based on the immediate response effect and sustained stability of the control measures on the environmental parameters, and generate growth health assessment results;

[0055] The early warning notification module is used to send health warning notifications to breeding managers and provide corresponding management suggestions when the growth health assessment results show that there are health risks in the breeding organisms.

[0056] The technical effects and advantages of an intelligent aquaculture control system and method of the present invention are as follows:

[0057] By acquiring and analyzing the environmental monitoring data of aquaculture water bodies, it is possible to determine whether the aquaculture water quality meets the preset water quality requirements and ensure that the water environment is always in a state suitable for the growth of aquaculture organisms. When the water quality does not meet the standards, it is automatically adjusted according to the preset water quality demand data, and a water optimization record is generated to facilitate managers to track and analyze the effects of water quality regulation. By recording and analyzing the effects of water state regulation, the effectiveness of regulation measures can be evaluated to ensure the long-term stability of water quality. By acquiring the growth status data of aquaculture organisms and combining the regulation effects of water bodies, the health status of organisms can be comprehensively assessed. When there is a health risk, a health warning notification is triggered, and water quality regulation and environmental optimization management suggestions are provided, which reduces the pressure of manual monitoring, improves aquaculture efficiency, and realizes high-quality intelligent aquaculture. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] Figure 1 This is a schematic diagram of an intelligent aquaculture control method of the present invention;

[0059] Figure 2 This is a structural schematic diagram of an intelligent aquaculture control system of the present invention. DETAILED DESCRIPTION

[0060] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0061] Example 1

[0062] Figure 1 The present invention provides an intelligent aquaculture control method, which comprises the following steps:

[0063] Obtain environmental monitoring data of aquaculture water bodies, analyze the environmental status of the water bodies, and determine whether the water quality of aquaculture water bodies meets the preset water quality requirements;

[0064] When it is determined that the water quality of the aquaculture water body does not meet the preset water quality requirements, the aquaculture water body is adjusted according to the water quality demand data to obtain a water body optimization record;

[0065] Analyze the water quality control effect of the aquaculture water body according to the water body optimization record to obtain the water body state control effect record;

[0066] According to the execution time and frequency of the control operation in the water state control effect record, the immediate response effect and sustained stability of the control measures on environmental parameters are evaluated;

[0067] Compare the changes in environmental parameters at different execution time points of the control operation in the water state control effect record, and evaluate the response speed of the control measures to the environmental parameters;

[0068] Based on the frequency of regulation operations in the records of water state regulation effects, the impact of frequent regulation on the sustained stability of environmental parameters is evaluated;

[0069] Obtain the growth status data of farmed organisms in the breeding environment, conduct a comprehensive assessment of the growth of farmed organisms based on the immediate response effect and sustained stability of regulatory measures on environmental parameters, and generate growth health assessment results;

[0070] When the growth health assessment results show that there is a health risk to the farmed organisms, a health warning notification will be sent to the farming managers and corresponding management suggestions will be provided.

[0071] Specifically, obtain environmental monitoring data of aquaculture water bodies, analyze the environmental status of the water bodies, and determine whether the water quality of aquaculture water bodies meets the preset water quality requirements, including:

[0072] Obtain environmental monitoring data of aquaculture water, including water temperature, pH value, dissolved oxygen concentration, ammonia nitrogen concentration and water turbidity. Specifically, in aquaculture, environmental monitoring equipment will monitor and obtain data on various key parameters of aquaculture water in real time. These parameters directly affect the health of the water and the growth of aquaculture organisms. For example, water temperature has a direct impact on the growth rate and immunity of aquaculture organisms. Too high or too low water temperature may cause organisms to become sick or die. pH value reflects the acidity and alkalinity of water. A suitable pH range helps organisms grow healthily. Acidic or alkaline conditions will affect the respiration and metabolism of organisms. Dissolved oxygen is the source of oxygen for aquatic organisms to survive. When the dissolved oxygen concentration is insufficient, aquaculture organisms may suffocate. Ammonia nitrogen is the main toxic substance in aquaculture water. It is produced by the decomposition of biological metabolic excreta and undigested bait. High concentrations of ammonia nitrogen are harmful to the health of organisms. Excessive turbidity of water may indicate that there are more suspended particles, undigested bait or algae. Excessive turbidity of water will affect photosynthesis and dissolved oxygen levels in the water and increase the risk of water quality deterioration.

[0073] The environmental monitoring data of the aquaculture water body are statistically analyzed to calculate the average value, variation range and fluctuation of each environmental parameter; specifically, the average value reflects the overall level of the environmental parameter, for example, the average value of the water temperature over a period of time is 26°C, indicating that the water temperature is relatively stable; the variation range indicates the difference between the highest and lowest values ​​in the environmental monitoring data, reflecting the volatility of the water quality, for example, the pH value range is 7.0-8.0, indicating that the pH value has a certain fluctuation; the fluctuation refers to the frequency and intensity of the change of environmental parameters within a period of time, for example, a large fluctuation in dissolved oxygen concentration may mean that the aquaculture organisms are active or the water body circulation is unstable; for example, within 24 hours, the water temperature remains between 24°C and 26°C, and the dissolved oxygen fluctuates between 5-7mg / L, indicating that the water quality is relatively stable and suitable for the growth of aquaculture organisms;

[0074] The statistical results of various environmental parameters are compared with the preset water quality standards to determine whether the water temperature, pH value, dissolved oxygen concentration, ammonia nitrogen concentration and water turbidity are within the preset healthy breeding range; specifically, by comparing the monitored environmental parameter statistical data with the preset water quality standards, it can be determined whether the current water quality is suitable for the health needs of the farmed organisms; the preset water quality standards are usually set based on the growth habits and optimal environment of the farmed species, for example: the water temperature standard may be 20℃-28℃; the pH range of the pH value standard is 6.5-8.5; dissolved oxygen concentration standard: not less than 5mg / L; ammonia nitrogen concentration standard: required to be less than 0.05mg / L; turbidity standard: the turbidity of water bodies suitable for breeding is relatively low.

[0075] When one or more environmental parameters exceed the preset healthy breeding range, it is determined that the water quality of the current breeding water body does not meet the preset water quality requirements, and the parameters that exceed the range are recorded.

[0076] Specifically, when it is determined that the water quality of the aquaculture water body does not meet the preset water quality requirements, the aquaculture water body is adjusted according to the water quality demand data to obtain a water body optimization record, including:

[0077] Determine the environmental parameters that need to be adjusted based on water quality demand data, including those that exceed the preset healthy aquaculture range;

[0078] According to the environmental parameters that need to be adjusted, select the corresponding regulating equipment and control measures; for example, if the water temperature is too high, select the cooling equipment (cooling water pump); if the dissolved oxygen concentration is too low, start the oxygenation equipment (oxygenation pump) to increase the dissolved oxygen concentration;

[0079] Execute corresponding regulating measures according to corresponding regulating equipment, regulate and control the aquaculture water body, and adjust environmental parameters to the preset healthy aquaculture range; for example, when the dissolved oxygen concentration is too low and the aeration pump is started, the aeration pump will continue to work until the dissolved oxygen concentration of the water body returns to 5 mg / L;

[0080] During the adjustment process, the specific information of each adjustment operation is recorded, including the adjusted environmental parameters, the use of the adjustment equipment, the operation time, and the adjusted environmental parameters; for example, in an oxygenation operation, the adjustment parameters (dissolved oxygen concentration), the adjustment equipment (oxygenation pump), the equipment start and shutdown time, and the adjusted dissolved oxygen concentration value (for example, from 4 mg / L to 7 mg / L) are recorded;

[0081] Generate water optimization records, including environmental parameters before adjustment and specific information on control operations.

[0082] Specifically, the water quality control effect of the aquaculture water body is analyzed according to the water body optimization record to obtain the water body state control effect record, including:

[0083] Based on the environmental parameters before and after the adjustment in the water body optimization record, compare the changes in water quality before and after the regulation to confirm the improvement in water quality after the regulation; for example, assuming that the dissolved oxygen concentration is 4 mg / L before the regulation, the dissolved oxygen concentration is increased to 7 mg / L through the oxygenation equipment; at this time, it is confirmed that the increase in dissolved oxygen concentration has reached the preset healthy range, indicating that the regulation is effective and the water quality has improved;

[0084] Calculate the key indicators of water body regulation and control effects to evaluate the effectiveness of the regulation and control operations; specifically, the key indicators include environmental parameter recovery time, regulation and control frequency, and environmental parameter fluctuation range; for example, if the dissolved oxygen concentration recovers from 4 mg / L to 7 mg / L within 5 minutes, it indicates that the regulation and control operation is effective;

[0085] The evaluation results of the regulation effects are summarized, including the water quality improvement after regulation, to generate a record of the regulation effects on water status.

[0086] Specifically, compare the changes in environmental parameters at different execution time points of the control operation in the water state control effect record, and evaluate the response speed of the control measures to the environmental parameters, including:

[0087] Obtain records of water state control effects and record environmental parameters of control operations at different time points;

[0088] Compare the changing trends of environmental parameters at different execution time points of the control operation to determine the differences in environmental parameters before and after the control operation;

[0089] Based on the differences in environmental parameters before and after the regulation operation, the rate of change of environmental parameters at each time point is calculated;

[0090] By comparing the rates of change of environmental parameters, the immediate response effects of regulatory measures on environmental parameters can be evaluated.

[0091] Specifically, based on the frequency of regulation operations in the water state regulation effect records, the impact of frequent regulation on the sustained stability of environmental parameters is evaluated, including:

[0092] Obtain records of water state control effects and record environmental parameters of control operations at different time points;

[0093] Compare the changes in environmental parameters at different time points to determine the changing trends of environmental parameters before and after the control operation;

[0094] Based on the changing trends of environmental parameters, evaluate the impact of frequent adjustments on the continued stability of environmental parameters.

[0095] Specifically, the growth status data of farmed organisms in the breeding environment is obtained, and based on the immediate response effect and sustained stability of the control measures on environmental parameters, a comprehensive assessment of the growth of farmed organisms is conducted to generate growth health assessment results, including:

[0096] Obtain growth status data of farmed organisms, including growth rate, weight change, and food intake;

[0097] Based on the immediate response effect and sustained stability of the control measures on environmental parameters, evaluate the impact of water quality control on the growth status of farmed organisms, and determine whether the improvement in water quality after control is helpful to improve the farming environment; for example, if fish are farmed, after the dissolved oxygen concentration in the water increases, the growth rate and food intake of the fish also increase, indicating that water quality control has a promoting effect on the growth status of farmed organisms, and the improvement in water quality after control is helpful to optimize the farming environment;

[0098] Compare the growth status data with the healthy growth standards to determine whether the health level and growth status of the cultured organisms meet the expected requirements; specifically, the healthy growth standards include ideal weight growth rate, ideal food intake, and typical behaviors of healthy organisms;

[0099] The growth health assessment results are generated by combining the assessment results of the impact of water quality control on the growth status of farmed organisms and the comparison results of growth status data with healthy growth standards.

[0100] Specifically, when the growth and health assessment results show that there are health risks to the farmed organisms, a health warning notice will be sent to the farm management personnel, and corresponding management suggestions will be provided, including:

[0101] According to the level of health risk in the growth and health assessment results, determine whether the health risk has reached the warning threshold;

[0102] When the health risk reaches the warning threshold, the management system sends a health warning notification to the breeding management personnel;

[0103] Based on the level of health risk, corresponding management recommendations are provided, including water quality control recommendations, growth environment optimization measures, and feeding program adjustments; for example, if the health risk is medium, management recommendations include managers slightly adjusting the water quality, such as appropriately increasing the dissolved oxygen content, and adding a small amount of nutritious feed when feeding; if the health risk is high, management recommendations include immediately replacing part of the water body, reducing the ammonia nitrogen concentration, and suspending feeding to avoid biological stress.

[0104] Example 2

[0105] The difference between Example 2 of the present invention and Example 1 is that this example introduces an intelligent aquaculture control system.

[0106] Figure 2 The present invention provides a structural schematic diagram of an intelligent aquaculture control system, which includes an environment monitoring module, a water quality regulation module, a regulation effect analysis module, a response speed evaluation module, a stability evaluation module, a growth status evaluation module and an early warning notification module.

[0107] The environmental monitoring module is used to obtain environmental monitoring data of aquaculture water bodies, analyze the environmental status of the water bodies, and determine whether the water quality of the aquaculture water bodies meets the preset water quality requirements;

[0108] The water quality adjustment module is used to adjust the aquaculture water body according to the water quality demand data to obtain the water body optimization record when it is determined that the water quality of the aquaculture water body does not meet the preset water quality requirements;

[0109] The control effect analysis module is used to analyze the control effect of the water quality of the aquaculture water body according to the water body optimization record to obtain the water body state control effect record; it is used to evaluate the immediate response effect and continuous stability of the control measures on the environmental parameters according to the execution time and adjustment frequency of the control operation in the water body state control effect record;

[0110] The response speed evaluation module is used to compare the changes in environmental parameters at different execution time points of the control operation in the water state control effect record, and evaluate the response speed of the control measures to the environmental parameters;

[0111] The stability assessment module is used to assess the impact of frequent adjustments on the sustained stability of environmental parameters based on the adjustment frequency of the control operation in the water state control effect record;

[0112] The growth status assessment module is used to obtain the growth status data of the farmed organisms in the farming environment, conduct a comprehensive assessment of the growth of the farmed organisms based on the immediate response effect and sustained stability of the control measures on the environmental parameters, and generate growth health assessment results;

[0113] The early warning notification module is used to send health warning notifications to breeding managers and provide corresponding management suggestions when the growth health assessment results show that there are health risks in the breeding organisms.

[0114] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters and thresholds in the formula are set by technicians in this field according to actual conditions.

[0115] The above embodiments can be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website site, computer, server or data center to another website site, computer, server or data center by wired (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that contains one or more available media sets. The available medium can be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state hard disk.

[0116] Those of ordinary skill in the art will appreciate that the modules and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0117] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and modules described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0118] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the modules is only a logical function division. There may be other division methods in actual implementation, such as multiple modules or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or modules, which can be electrical, mechanical or other forms.

[0119] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical modules, and may be located in one place or distributed on multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0120] In addition, each functional module in each embodiment of the present application may be integrated into one processing module, or each module may exist physically separately, or two or more modules may be integrated into one module.

[0121] If the functions are implemented in the form of software function modules and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application can be essentially or partly embodied in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0122] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0123] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. An intelligent aquaculture control method, characterized in that: The steps include: Obtain environmental monitoring data of aquaculture water bodies, analyze the environmental status of the water bodies, and determine whether the water quality of aquaculture water bodies meets the preset water quality requirements; When it is determined that the water quality of the aquaculture water body does not meet the preset water quality requirements, the aquaculture water body is adjusted according to the water quality demand data to obtain a water body optimization record; Analyze the water quality control effect of the aquaculture water body according to the water body optimization record to obtain the water body state control effect record; According to the execution time and frequency of the control operation in the water state control effect record, the immediate response effect and sustained stability of the control measures on environmental parameters are evaluated; Compare the changes in environmental parameters at different execution time points of the control operation in the water state control effect record, and evaluate the response speed of the control measures to the environmental parameters; Based on the frequency of regulation operations in the records of water state regulation effects, the impact of frequent regulation on the sustained stability of environmental parameters is evaluated; Obtain the growth status data of farmed organisms in the breeding environment, conduct a comprehensive assessment of the growth of farmed organisms based on the immediate response effect and sustained stability of regulatory measures on environmental parameters, and generate growth health assessment results; When the growth health assessment results show that there is a health risk to the farmed organisms, a health warning notification will be sent to the farming managers and corresponding management suggestions will be provided.

2. An intelligent aquaculture control method according to claim 1, characterized in that: Obtain environmental monitoring data of aquaculture water bodies, analyze the environmental status of the water bodies, and determine whether the water quality of aquaculture water bodies meets the preset water quality requirements, specifically: Obtain environmental monitoring data of aquaculture water, including water temperature, pH value, dissolved oxygen concentration, ammonia nitrogen concentration and water turbidity; Collect statistics on the environmental monitoring data of aquaculture water bodies and calculate the average value, range of variation and fluctuation of each environmental parameter; Compare the statistical results of various environmental parameters with the preset water quality standards to determine whether the water temperature, pH value, dissolved oxygen concentration, ammonia nitrogen concentration and water turbidity are within the preset healthy breeding range; When one or more environmental parameters exceed the preset healthy breeding range, it is determined that the water quality of the current breeding water body does not meet the preset water quality requirements, and the parameters that exceed the range are recorded.

3. The intelligent aquaculture control method according to claim 1, characterized in that: When it is determined that the water quality of the aquaculture water body does not meet the preset water quality requirements, the aquaculture water body is adjusted according to the water quality demand data to obtain a water body optimization record, specifically: Determine the environmental parameters that need to be adjusted based on water quality demand data, including those that exceed the preset healthy aquaculture range; Select corresponding regulating equipment and control measures according to the environmental parameters that need to be adjusted; Execute corresponding regulation measures according to the corresponding regulation equipment, regulate and control the aquaculture water body, and adjust the environmental parameters to the preset healthy aquaculture range; During the adjustment process, record the specific information of each adjustment operation, including the adjusted environmental parameters, the use of the adjustment equipment, the operation time and the adjusted environmental parameters; Generate water optimization records, including environmental parameters before adjustment and specific information on control operations.

4. The intelligent aquaculture control method according to claim 1, characterized in that: According to the water body optimization record, the water quality control effect of the aquaculture water body is analyzed to obtain the water body state control effect record, which is specifically: Based on the environmental parameters before and after the adjustment in the water body optimization records, compare the changes in water quality before and after the regulation to confirm the improvement in water quality after the regulation; Calculate key indicators of water regulation effects and evaluate the effectiveness of regulation operations; The evaluation results of the regulation effects are summarized, including the water quality improvement after regulation, to generate a record of the regulation effects on water status.

5. The intelligent aquaculture control method according to claim 1, characterized in that: Compare the changes in environmental parameters at different execution time points of the control operation in the water state control effect record, and evaluate the response speed of the control measures to the environmental parameters, specifically: Obtain records of water state control effects and record environmental parameters of control operations at different time points; Compare the changing trends of environmental parameters at different execution time points of the control operation to determine the differences in environmental parameters before and after the control operation; Based on the differences in environmental parameters before and after the regulation operation, the rate of change of environmental parameters at each time point is calculated; By comparing the rates of change of environmental parameters, the immediate response effects of regulatory measures on environmental parameters can be evaluated.

6. The intelligent aquaculture control method according to claim 1, characterized in that: Based on the frequency of regulation operations in the water state regulation effect records, the impact of frequent regulation on the sustained stability of environmental parameters is evaluated, specifically: Obtain records of water state control effects and record environmental parameters of control operations at different time points; Compare the changes in environmental parameters at different time points to determine the changing trends of environmental parameters before and after the control operation; Based on the changing trends of environmental parameters, evaluate the impact of frequent adjustments on the continued stability of environmental parameters.

7. The intelligent aquaculture control method according to claim 1, characterized in that: Obtain the growth status data of the farmed organisms in the breeding environment, conduct a comprehensive assessment of the growth of the farmed organisms based on the immediate response effect and sustained stability of the control measures on the environmental parameters, and generate growth health assessment results, specifically: Obtain growth status data of farmed organisms, including growth rate, weight change, and food intake; Based on the immediate response and sustained stability of the control measures on environmental parameters, evaluate the impact of water quality control on the growth status of aquaculture organisms and determine whether the improvement in water quality after control is helpful to improve the aquaculture environment; Compare the growth status data with the healthy growth standards to determine whether the health level and growth status of the cultured organisms meet the expected requirements; The growth health assessment results are generated by combining the assessment results of the impact of water quality control on the growth status of farmed organisms and the comparison results of growth status data with healthy growth standards.

8. The intelligent aquaculture control method according to claim 1, characterized in that: When the growth and health assessment results show that there are health risks to the farmed organisms, a health warning notification will be sent to the farm management personnel, and corresponding management suggestions will be provided, specifically: According to the level of health risk in the growth and health assessment results, determine whether the health risk has reached the warning threshold; When the health risk reaches the warning threshold, the management system sends a health warning notification to the breeding management personnel; Based on the level of health risk, corresponding management recommendations are provided, including water quality control recommendations, growth environment optimization measures, and feeding program adjustments.

9. An intelligent aquaculture control system, used to implement an intelligent aquaculture control method according to any one of claims 1 to 8, characterized in that: It includes environmental monitoring module, water quality regulation module, regulation effect analysis module, response speed evaluation module, stability evaluation module, growth status evaluation module and early warning notification module. The environmental monitoring module is used to obtain environmental monitoring data of aquaculture water bodies, analyze the environmental status of the water bodies, and determine whether the water quality of the aquaculture water bodies meets the preset water quality requirements; The water quality adjustment module is used to adjust the aquaculture water body according to the water quality demand data to obtain the water body optimization record when it is determined that the water quality of the aquaculture water body does not meet the preset water quality requirements; The control effect analysis module is used to analyze the control effect of the water quality of the aquaculture water body according to the water body optimization record, and obtain the water body state control effect record; It is used to evaluate the immediate response effect and sustained stability of control measures on environmental parameters based on the execution time and adjustment frequency of control operations in the water state control effect record; The response speed evaluation module is used to compare the changes in environmental parameters at different execution time points of the control operation in the water state control effect record, and evaluate the response speed of the control measures to the environmental parameters; The stability assessment module is used to assess the impact of frequent adjustments on the sustained stability of environmental parameters based on the adjustment frequency of the control operation in the water state control effect record; The growth status assessment module is used to obtain the growth status data of the farmed organisms in the farming environment, conduct a comprehensive assessment of the growth of the farmed organisms based on the immediate response effect and sustained stability of the control measures on the environmental parameters, and generate growth health assessment results; The early warning notification module is used to send health warning notifications to breeding managers and provide corresponding management suggestions when the growth health assessment results show that there are health risks in the breeding organisms.

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