Methods and systems for ecological environment regulation in seawater pond aquaculture

Abstract

This invention discloses a method and system for ecological environment control in seawater pond aquaculture. The method involves setting first and second monitoring cycles and acquiring pollutant data and water flow information for each aquaculture unit; analyzing pollutant migration changes based on the data from both cycles, and setting simulated and actual migration directions based on the water flow information; merging aquaculture units according to the degree of deviation between the simulated and actual migration directions to obtain first and second aquaculture areas; in the low-deviation first aquaculture area, generating a first predicted migration path by simulating the shortest path based on the pollution origin and destination using the A* algorithm; in the high-deviation second aquaculture area, setting multiple paths to fit the pollution data with the largest polluted unit as the center point, and selecting the optimal path as the second predicted migration path based on the goodness of fit; analyzing the pollution diffusion risk based on the two predicted migration paths, and formulating corresponding ecological monitoring and control schemes.

Description

Technical Field

[0001] This invention relates to the field of marine aquaculture and ecological regulation, and more specifically, to methods and systems for ecological environment regulation in marine pond aquaculture. Background Technology

[0002] Seawater pond aquaculture, as an important aquatic product production method in coastal areas, has the characteristics of controllable water bodies and ecological dependence, and can meet human demand for aquatic products to a certain extent.

[0003] However, the ecological environment of seawater ponds is often complex and variable due to factors such as aquaculture plans, feed input, fluctuations in the water environment, changes in water flow fields, meteorological changes, and pollutant diffusion effects. This leads to complex and variable migration patterns of pollutants within the aquaculture area. Existing technologies struggle to accurately assess migration and diffusion, and lack precise analysis of pollutant migration changes. Consequently, corresponding ecological regulation and pollution control decisions are often based on human experience, resulting in a low level of intelligence. Therefore, a method for ecological environment regulation in seawater pond aquaculture is urgently needed. Summary of the Invention

[0004] This invention overcomes the shortcomings of existing technologies and proposes a method and system for ecological environment regulation in seawater pond aquaculture.

[0005] The first aspect of this invention provides a method for regulating the ecological environment of seawater pond aquaculture, comprising:

[0006] S1: Set the first and second monitoring cycles, and obtain pollutant content data of multiple aquaculture units in the seawater pond through the monitoring unit;

[0007] S2: Based on the first monitoring cycle, analyze the pollutant migration changes of each aquaculture unit through pollutant content data, and set the simulated migration direction by combining water flow monitoring information;

[0008] S3: Based on the second monitoring cycle, analyze the pollutant migration changes in each aquaculture unit through pollutant content data to determine the actual migration direction;

[0009] S4: Calculate the migration deviation for each breeding unit based on the simulated migration direction and the actual migration direction. Merge breeding units with low deviation to obtain the first breeding area, and merge breeding units with high deviation to obtain the second breeding area.

[0010] S5: In the first aquaculture area, the pollution origin and pollution endpoint are determined based on pollutant content data. The path cost of the aquaculture unit is set in combination with water flow monitoring information. The shortest path of pollutants is simulated using the A* algorithm, and the first predicted migration path is generated.

[0011] S6: In the second aquaculture area, the aquaculture unit with the highest pollutant content is marked as the center point. Multiple pollution paths are set through the center point. The pollutant content values ​​corresponding to the pollution paths are linearly fitted. Based on the goodness of fit, the optimal pollution path is selected and marked as the second predicted migration path.

[0012] S7: Conduct pollution diffusion analysis and assessment of the first and second predicted migration paths, and set up ecological monitoring and pollution control plans for aquaculture units.

[0013] In this solution, S1 specifically refers to:

[0014] Set a first monitoring cycle and a second monitoring cycle, with the second monitoring cycle being the current cycle;

[0015] The monitoring unit is used to monitor pollutants and water quality in multiple aquaculture units in the seawater pond in real time, and obtain pollutant content data and water flow monitoring information for the first and second monitoring cycles.

[0016] In this solution, S2 specifically refers to:

[0017] By using the pollutant content data from the first monitoring period, the pollutant content values ​​of each aquaculture unit are obtained, the changes in pollutant content between each aquaculture unit and neighboring aquaculture units are analyzed, and the initial migration direction is set.

[0018] The direction of water flow in aquaculture units is determined by water flow monitoring information;

[0019] Based on the area of ​​the seawater pond, a two-dimensional plane is defined, and the initial migration direction and water flow direction are transformed into two planar vectors. The direction of the angle bisector of the angle between the two planar vectors is used as the optimized migration direction.

[0020] The optimized migration direction is marked as the simulated migration direction of the breeding unit.

[0021] In this solution, S3 specifically refers to:

[0022] Based on the pollutant content data of the second monitoring period, the pollutant content values ​​of each breeding unit were obtained and compared with the pollutant content values ​​of each breeding unit in the first monitoring period. The changes in pollutant content in each breeding unit under the two monitoring periods were analyzed, and the actual migration direction of pollutants in each breeding unit was determined.

[0023] In this solution, S4 specifically refers to:

[0024] Based on the two-dimensional plane defined within the seawater pond area, for each aquaculture unit, the simulated migration direction and the actual migration direction are vectorized and the directional deviation between the vectors is calculated to obtain the directional deviation value.

[0025] Aquaculture units with directional deviation values ​​lower than the preset deviation are screened and merged to form the first aquaculture area;

[0026] Aquaculture units with directional deviation values ​​higher than the preset deviation are screened and merged to form a second aquaculture area.

[0027] In this solution, S5 specifically refers to:

[0028] In the first aquaculture area, the pollutant content data of the second monitoring period were used to analyze each aquaculture unit. The area where the aquaculture unit with the highest pollutant content was located was set as the pollution origin, and the area where the aquaculture unit with the lowest pollutant content was set as the pollution endpoint.

[0029] Initialize the path cost for each farming unit;

[0030] Based on the water flow monitoring information from the second monitoring cycle, the water flow direction is compared with the actual migration direction, and the path cost of each aquaculture unit is adjusted in combination with the water flow speed.

[0031] Based on the A* algorithm, the pollution origin and pollution endpoint are used as the start and end points, and the breeding unit is used as the moving node. The shortest path is planned by combining the path cost and a predicted path based on the third monitoring cycle is generated and marked as the first predicted migration path.

[0032] In this solution, S6 specifically refers to:

[0033] In the second aquaculture area, based on the pollutant content data of the second monitoring period, the aquaculture unit with the highest pollutant content was marked as the center point;

[0034] Multiple migration directions are set starting from the center point, and multiple pollution paths are set based on these migration directions;

[0035] The pollutant content values ​​of the breeding units along the pollution path are extracted to form sequence data. The sequence data is linearly fitted, and the optimal pollution path is selected based on the goodness of fit and marked as the second predicted migration path.

[0036] In this solution, S7 specifically refers to:

[0037] Ecological assessments were conducted on the first and second aquaculture areas using the first and second predicted migration paths, respectively, and an ecological environment monitoring plan was generated. Based on the aquaculture units with predicted pollutant pathways, corresponding pollution control plans were generated.

[0038] A second aspect of the present invention also provides a marine pond aquaculture ecological environment control system, the system comprising: a memory and a processor, wherein the memory includes a marine pond aquaculture ecological environment control program, and the marine pond aquaculture ecological environment control program, when executed by the processor, performs the following steps:

[0039] S1: Set the first and second monitoring cycles, and obtain pollutant content data of multiple aquaculture units in the seawater pond through the monitoring unit;

[0040] S2: Based on the first monitoring cycle, analyze the pollutant migration changes of each aquaculture unit through pollutant content data, and set the simulated migration direction by combining water flow monitoring information;

[0041] S3: Based on the second monitoring cycle, analyze the pollutant migration changes in each aquaculture unit through pollutant content data to determine the actual migration direction;

[0042] S4: Calculate the migration deviation for each breeding unit based on the simulated migration direction and the actual migration direction. Merge breeding units with low deviation to obtain the first breeding area, and merge breeding units with high deviation to obtain the second breeding area.

[0043] S5: In the first aquaculture area, the pollution origin and pollution endpoint are determined based on pollutant content data. The path cost of the aquaculture unit is set in combination with water flow monitoring information. The shortest path of pollutants is simulated using the A* algorithm, and the first predicted migration path is generated.

[0044] S6: In the second aquaculture area, the aquaculture unit with the highest pollutant content is marked as the center point. Multiple pollution paths are set through the center point. The pollutant content values ​​corresponding to the pollution paths are linearly fitted. Based on the goodness of fit, the optimal pollution path is selected and marked as the second predicted migration path.

[0045] S7: Conduct pollution diffusion analysis and assessment of the first and second predicted migration paths, and set up ecological monitoring and pollution control plans for aquaculture units.

[0046] A third aspect of the present invention also provides a computer-readable storage medium comprising a marine pond aquaculture ecological environment control program, wherein when the marine pond aquaculture ecological environment control program is executed by a processor, it implements the steps of the marine pond aquaculture ecological environment control method as described in any of the preceding claims.

[0047] This invention discloses a method and system for ecological environment control in seawater pond aquaculture. The method involves setting first and second monitoring cycles and acquiring pollutant data and water flow information for each aquaculture unit; analyzing pollutant migration changes based on the data from both cycles, and setting simulated and actual migration directions based on the water flow information; merging aquaculture units according to the degree of deviation between the simulated and actual migration directions to obtain first and second aquaculture areas; in the low-deviation first aquaculture area, generating a first predicted migration path by simulating the shortest path based on the pollution origin and destination using the A* algorithm; in the high-deviation second aquaculture area, setting multiple paths to fit the pollution data with the largest polluted unit as the center point, and selecting the optimal path as the second predicted migration path based on the goodness of fit; analyzing the pollution diffusion risk based on the two predicted migration paths, and formulating corresponding ecological monitoring and control schemes. Attached Figure Description

[0048] Figure 1 A flowchart of a method for ecological environment regulation in seawater pond aquaculture according to the present invention is shown;

[0049] Figure 2 The flowchart of the simulated migration direction analysis of the present invention is shown;

[0050] Figure 3 A block diagram of an ecological environment control system for seawater pond aquaculture according to the present invention is shown. Detailed Implementation

[0051] To better understand the above-mentioned objectives, features, and advantages of the present invention, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be noted that, unless otherwise specified, the embodiments and features described in these embodiments can be combined with each other.

[0052] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein, and therefore the scope of protection of the invention is not limited to the specific embodiments disclosed below.

[0053] Figure 1 A flowchart of a method for ecological environment regulation in seawater pond aquaculture according to the present invention is shown.

[0054] like Figure 1 As shown, the first aspect of the present invention provides a method for regulating the ecological environment of seawater pond aquaculture, comprising:

[0055] S1: Set the first and second monitoring cycles, and obtain pollutant content data of multiple aquaculture units in the seawater pond through the monitoring unit;

[0056] S2: Based on the first monitoring cycle, analyze the pollutant migration changes of each aquaculture unit through pollutant content data, and set the simulated migration direction by combining water flow monitoring information;

[0057] S3: Based on the second monitoring cycle, analyze the pollutant migration changes in each aquaculture unit through pollutant content data to determine the actual migration direction;

[0058] S4: Calculate the migration deviation for each breeding unit based on the simulated migration direction and the actual migration direction. Merge breeding units with low deviation to obtain the first breeding area, and merge breeding units with high deviation to obtain the second breeding area.

[0059] S5: In the first aquaculture area, the pollution origin and pollution endpoint are determined based on pollutant content data. The path cost of the aquaculture unit is set in combination with water flow monitoring information. The shortest path of pollutants is simulated using the A* algorithm, and the first predicted migration path is generated.

[0060] S6: In the second aquaculture area, the aquaculture unit with the highest pollutant content is marked as the center point. Multiple pollution paths are set through the center point. The pollutant content values ​​corresponding to the pollution paths are linearly fitted. Based on the goodness of fit, the optimal pollution path is selected and marked as the second predicted migration path.

[0061] S7: Conduct pollution diffusion analysis and assessment of the first and second predicted migration paths, and set up ecological monitoring and pollution control plans for aquaculture units.

[0062] According to an embodiment of the present invention, S1 specifically includes:

[0063] Set a first monitoring cycle and a second monitoring cycle, with the second monitoring cycle being the current cycle;

[0064] The monitoring unit is used to monitor pollutants and water quality in multiple aquaculture units in the seawater pond in real time, and obtain pollutant content data and water flow monitoring information for the first and second monitoring cycles.

[0065] It should be noted that the first monitoring period is the historical monitoring period, and the second monitoring period is the current monitoring period. That is, the first monitoring period is the previous period of the second monitoring period. Setting monitoring periods helps in subsequent dynamic data analysis and dynamic definition of pollution areas. Both the first and second monitoring periods correspond to independent pollutant content data, which includes pollutant content information for each aquaculture unit. Pollutants include nitrogen, phosphorus, organic matter, suspended solids, heavy metals, etc. Based on actual aquaculture and pollution conditions, one or more pollutants can be selected for content determination studies, and the changes in pollutant content and regional migration can be analyzed. An aquaculture unit is a relatively small area defined within the marine aquaculture area, used for refined analysis of overall regional pollution migration changes during marine aquaculture. Subsequently, pollution migration path analysis and regional merging analysis will be conducted by studying pollutant data from aquaculture units and water body data.

[0066] Monitoring units are installed in each aquaculture unit to monitor water data and pollution information in real time, recording water flow monitoring information and pollutant content data. Each monitoring cycle includes corresponding pollutant content data and water flow monitoring information.

[0067] Figure 2 The flowchart of the simulated migration direction analysis of the present invention is shown;

[0068] According to an embodiment of the present invention, step S2 specifically includes:

[0069] S201: Using the pollutant content data from the first monitoring period, obtain the pollutant content value for each aquaculture unit, analyze the changes in pollutant content between each aquaculture unit and neighboring aquaculture units, and set the initial migration direction;

[0070] S202: Set the water flow direction for aquaculture units based on water flow monitoring information;

[0071] S203: Based on the area of ​​the seawater pond, a two-dimensional plane is set, and the initial migration direction and the water flow direction are transformed into two planar vectors. The direction of the angle bisector of the angle between the two planar vectors is used as the optimized migration direction.

[0072] S204: Mark the optimized migration direction as the simulated migration direction of the breeding unit.

[0073] It should be noted that each aquaculture unit corresponds to independent water flow monitoring information, initial migration direction, water flow direction, and simulated migration direction. The simulated migration direction is a comprehensive assessment combining water flow and pollutant content. This direction is a comprehensive simulation direction, representing the general migration direction of pollutants under normal circumstances, without migration anomalies. This simulated direction will be used subsequently for comparison and to screen for abnormal unit areas.

[0074] According to an embodiment of the present invention, step S3 specifically includes:

[0075] Based on the pollutant content data of the second monitoring period, the pollutant content values ​​of each breeding unit were obtained and compared with the pollutant content values ​​of each breeding unit in the first monitoring period. The changes in pollutant content in each breeding unit under the two monitoring periods were analyzed, and the actual migration direction of pollutants in each breeding unit was determined.

[0076] It should be noted that the initial migration direction is obtained by analyzing the changes in pollutant content between a certain aquaculture unit and neighboring aquaculture units. Specifically, if a certain aquaculture unit has a high pollutant concentration, while the pollutant concentration in neighboring units in a certain marked direction (e.g., north) is low, then the pollutant migration direction can be set as the marked direction (e.g., north). By analyzing the pollutant data of each aquaculture unit, the corresponding migration direction can be assessed. The actual migration direction, on the other hand, is the migration direction analyzed based on the comparison of pollutant content between aquaculture units in the previous period (the first monitoring period). Specifically, if, in the comparison between the two periods, the pollutant content of a certain aquaculture unit has decreased, while it has increased in other neighboring areas, then the actual migration direction of the pollutants can be determined as the migration from the certain aquaculture unit to the other neighboring areas.

[0077] According to an embodiment of the present invention, step S4 specifically includes:

[0078] Based on the two-dimensional plane defined within the seawater pond area, for each aquaculture unit, the simulated migration direction and the actual migration direction are vectorized and the directional deviation between the vectors is calculated to obtain the directional deviation value.

[0079] Aquaculture units with directional deviation values ​​lower than the preset deviation are screened and merged to form the first aquaculture area;

[0080] Aquaculture units with directional deviation values ​​higher than the preset deviation are screened and merged to form a second aquaculture area.

[0081] It should be noted that within a single aquaculture unit, there may be multiple simulated migration directions and actual migration directions. When calculating the deviation, the two migration directions with the smallest deviations are selected for calculation. The directional deviation value can be determined based on the angle between two vectors and is used to judge the migration deviation rate. Both the first and second aquaculture regions include multiple aquaculture units, and the regions are merged based on these multiple units.

[0082] It is worth noting that the ecological environment of seawater ponds is often complex and changeable due to factors such as aquaculture plans, feed input, fluctuations in the water environment, changes in water flow fields, meteorological changes, and the diffusion effect of pollutants. Existing technologies are unable to accurately assess the migration and diffusion of pollutants, and there is a lack of precise analysis of the migration and changes of pollutants. Corresponding ecological regulation and pollution control decisions are often based on human experience and have a low degree of intelligence.

[0083] Based on this, the present invention monitors the pollutant content and water flow status of aquaculture units, sets simulated migration directions and actual migration directions based on historical and current cycles, and dynamically filters out aquaculture areas with lower and higher deviations by analyzing the deviation of migration directions, namely the first and second aquaculture areas. The first aquaculture area is the area where the migration distribution conforms to expectations. Furthermore, the migration path is simulated and analyzed using the A* shortest path, and the migration path of pollutants is dynamically predicted. The second aquaculture area is a specific area with certain abnormal migration status, which is difficult to predict conventionally. Therefore, the present invention analyzes multiple predetermined dispersion paths, performs fitting analysis on the pollutant content data of the aquaculture area of ​​the corresponding path in the area, judges whether the fitting change conforms to the linear change, and selects the path with the highest goodness of fit as the prediction path, thereby improving the prediction accuracy in abnormal migration areas and achieving accurate and rapid migration and diffusion prediction, providing strong data support for subsequent ecological regulation.

[0084] A path with a high goodness of fit indicates that the pollutants exhibit a certain linear variation pattern within the path, and the probability that the path is the actual pollution migration path is also greater.

[0085] According to an embodiment of the present invention, step S5 specifically includes:

[0086] In the first aquaculture area, the pollutant content data of the second monitoring period were used to analyze each aquaculture unit. The area where the aquaculture unit with the highest pollutant content was located was set as the pollution origin, and the area where the aquaculture unit with the lowest pollutant content was set as the pollution endpoint.

[0087] Initialize the path cost for each farming unit;

[0088] Based on the water flow monitoring information from the second monitoring cycle, the water flow direction is compared with the actual migration direction, and the path cost of each aquaculture unit is adjusted in combination with the water flow speed.

[0089] Based on the A* algorithm, the pollution origin and pollution endpoint are used as the start and end points, and the breeding unit is used as the moving node. The shortest path is planned by combining the path cost and a predicted path based on the third monitoring cycle is generated and marked as the first predicted migration path.

[0090] It should be noted that, in the first aquaculture area, the pollutant content data from the second monitoring period are used to analyze each aquaculture unit, i.e., each aquaculture unit in the first aquaculture area. In the analysis of the first predicted migration path, data from the second monitoring period (i.e., the current period) are used for analysis.

[0091] The initial path cost for each aquaculture unit is a consistent value, i.e., the path distance. Based on the water flow monitoring information from the second monitoring period, the water flow direction is compared with the actual migration direction. The path cost for each aquaculture unit is adjusted in conjunction with the water flow velocity. Specifically, it is determined whether the water flow direction and the actual migration direction are consistent. If they are, the path cost is reduced proportionally to the water flow velocity; otherwise, the path cost is increased proportionally to the water flow velocity. The consistency of directions is determined by whether the angle between the directions is within a preset low angle range, such as within 20°. The first predicted migration path is a pollution migration path calculated using A* shortest path planning based on the second period data, and it serves as the predicted path for the third monitoring period.

[0092] According to an embodiment of the present invention, step S6 specifically includes:

[0093] In the second aquaculture area, based on the pollutant content data of the second monitoring period, the aquaculture unit with the highest pollutant content was marked as the center point;

[0094] Multiple migration directions are set starting from the center point, and multiple pollution paths are set based on these migration directions;

[0095] The pollutant content values ​​of the breeding units along the pollution path are extracted to form sequence data. The sequence data is linearly fitted, and the optimal pollution path is selected based on the goodness of fit and marked as the second predicted migration path.

[0096] It should be noted that all the multiple migration directions use the center point as the starting point. Specifically, multiple migration directions are set based on preset angle intervals, and a contaminated path is formed based on the set directions. The contaminated path is a straight path and is subsequently filtered. The optimal contaminated path is the path with the highest goodness of fit.

[0097] According to an embodiment of the present invention, step S7 specifically includes:

[0098] Ecological assessments were conducted on the first and second aquaculture areas using the first and second predicted migration paths, respectively, and an ecological environment monitoring plan was generated. Based on the aquaculture units with predicted pollutant pathways, corresponding pollution control plans were generated.

[0099] It should be noted that the ecological environment monitoring plan includes ecological monitoring plans for the first and second aquaculture areas. Monitoring is planned in advance through pollution prediction pathways, which improves the utilization rate of monitoring resources and effectively enhances monitoring accuracy. Based on the selected pollutants, corresponding pollution control plans are developed and applied to the aquaculture units. The pollution control plans include control measures for both the first and second aquaculture areas. Pollutant prediction pathways for the aquaculture units are obtained through the first and second predicted migration pathways.

[0100] According to an embodiment of the present invention, it further includes:

[0101] During the third monitoring cycle, pollutant content data and water flow monitoring information from multiple aquaculture units were monitored and acquired in real time.

[0102] By combining pollutant content data and water flow monitoring information from the second monitoring cycle, the migration direction was simulated, analyzed, and compared, and the first and second aquaculture areas were dynamically adjusted.

[0103] Pollutant migration predictions were made based on the adjusted first and second aquaculture areas.

[0104] It should be noted that during real-time pollutant migration analysis, aquaculture ponds often require dynamic control schemes and dynamic analysis of pollution status due to factors such as changes in the aquatic environment, water flow field, meteorological changes, and pollutant diffusion effects. Therefore, this invention dynamically adjusts the first and second aquaculture areas through real-time analysis of monitoring data, and further adjusts the predicted migration routes, making the system analysis highly adaptable, improving the automation level of the marine pond monitoring platform, reducing human intervention, and realizing intelligent control, monitoring, and analysis of the ecological status of pond aquaculture.

[0105] Figure 3 A block diagram of an ecological environment control system for seawater pond aquaculture according to the present invention is shown.

[0106] A second aspect of the present invention also provides a marine pond aquaculture ecological environment control system 3, which includes: a memory 31 and a processor 32. The memory 31 includes a marine pond aquaculture ecological environment control program, which, when executed by the processor 32, performs the following steps:

[0107] S1: Set the first and second monitoring cycles, and obtain pollutant content data of multiple aquaculture units in the seawater pond through the monitoring unit;

[0108] S2: Based on the first monitoring cycle, analyze the pollutant migration changes of each aquaculture unit through pollutant content data, and set the simulated migration direction by combining water flow monitoring information;

[0109] S3: Based on the second monitoring cycle, analyze the pollutant migration changes in each aquaculture unit through pollutant content data to determine the actual migration direction;

[0110] S4: Calculate the migration deviation for each breeding unit based on the simulated migration direction and the actual migration direction. Merge breeding units with low deviation to obtain the first breeding area, and merge breeding units with high deviation to obtain the second breeding area.

[0111] S5: In the first aquaculture area, the pollution origin and pollution endpoint are determined based on pollutant content data. The path cost of the aquaculture unit is set in combination with water flow monitoring information. The shortest path of pollutants is simulated using the A* algorithm, and the first predicted migration path is generated.

[0112] S6: In the second aquaculture area, the aquaculture unit with the highest pollutant content is marked as the center point. Multiple pollution paths are set through the center point. The pollutant content values ​​corresponding to the pollution paths are linearly fitted. Based on the goodness of fit, the optimal pollution path is selected and marked as the second predicted migration path.

[0113] S7: Conduct pollution diffusion analysis and assessment of the first and second predicted migration paths, and set up ecological monitoring and pollution control plans for aquaculture units.

[0114] According to an embodiment of the present invention, S1 specifically includes:

[0115] Set a first monitoring cycle and a second monitoring cycle, with the second monitoring cycle being the current cycle;

[0116] The monitoring unit is used to monitor pollutants and water quality in multiple aquaculture units in the seawater pond in real time, and obtain pollutant content data and water flow monitoring information for the first and second monitoring cycles.

[0117] It should be noted that the first monitoring period is the historical monitoring period, and the second monitoring period is the current monitoring period. That is, the first monitoring period is the previous period of the second monitoring period. Setting monitoring periods helps in subsequent dynamic data analysis and dynamic definition of pollution areas. Both the first and second monitoring periods correspond to independent pollutant content data, which includes pollutant content information for each aquaculture unit. Pollutants include nitrogen, phosphorus, organic matter, suspended solids, heavy metals, etc. Based on actual aquaculture and pollution conditions, one or more pollutants can be selected for content determination studies, and the changes in pollutant content and regional migration can be analyzed. An aquaculture unit is a relatively small area defined within the marine aquaculture area, used for refined analysis of overall regional pollution migration changes during marine aquaculture. Subsequently, pollution migration path analysis and regional merging analysis will be conducted by studying pollutant data from aquaculture units and water body data.

[0118] Monitoring units are installed in each aquaculture unit to monitor water data and pollution information in real time, recording water flow monitoring information and pollutant content data. Each monitoring cycle includes corresponding pollutant content data and water flow monitoring information.

[0119] According to an embodiment of the present invention, step S2 specifically includes:

[0120] By using the pollutant content data from the first monitoring period, the pollutant content values ​​of each aquaculture unit are obtained, the changes in pollutant content between each aquaculture unit and neighboring aquaculture units are analyzed, and the initial migration direction is set.

[0121] The direction of water flow in aquaculture units is determined by water flow monitoring information;

[0122] Based on the area of ​​the seawater pond, a two-dimensional plane is defined, and the initial migration direction and water flow direction are transformed into two planar vectors. The direction of the angle bisector of the angle between the two planar vectors is used as the optimized migration direction.

[0123] The optimized migration direction is marked as the simulated migration direction of the breeding unit.

[0124] It should be noted that each aquaculture unit corresponds to independent water flow monitoring information, initial migration direction, water flow direction, and simulated migration direction. The simulated migration direction is a comprehensive assessment combining water flow and pollutant content. This direction is a comprehensive simulation direction, representing the general migration direction of pollutants under normal circumstances, without migration anomalies. This simulated direction will be used subsequently for comparison and to screen for abnormal unit areas.

[0125] According to an embodiment of the present invention, step S3 specifically includes:

[0126] Based on the pollutant content data of the second monitoring period, the pollutant content values ​​of each breeding unit were obtained and compared with the pollutant content values ​​of each breeding unit in the first monitoring period. The changes in pollutant content in each breeding unit under the two monitoring periods were analyzed, and the actual migration direction of pollutants in each breeding unit was determined.

[0127] It should be noted that the initial migration direction is obtained by analyzing the changes in pollutant content between a certain aquaculture unit and neighboring aquaculture units. Specifically, if a certain aquaculture unit has a high pollutant concentration, while the pollutant concentration in neighboring units in a certain marked direction (e.g., north) is low, then the pollutant migration direction can be set as the marked direction (e.g., north). By analyzing the pollutant data of each aquaculture unit, the corresponding migration direction can be assessed. The actual migration direction, on the other hand, is the migration direction analyzed based on the comparison of pollutant content between aquaculture units in the previous period (the first monitoring period). Specifically, if, in the comparison between the two periods, the pollutant content of a certain aquaculture unit has decreased, while it has increased in other neighboring areas, then the actual migration direction of the pollutants can be determined as the migration from the certain aquaculture unit to the other neighboring areas.

[0128] According to an embodiment of the present invention, step S4 specifically includes:

[0129] Based on the two-dimensional plane defined within the seawater pond area, for each aquaculture unit, the simulated migration direction and the actual migration direction are vectorized and the directional deviation between the vectors is calculated to obtain the directional deviation value.

[0130] Aquaculture units with directional deviation values ​​lower than the preset deviation are screened and merged to form the first aquaculture area;

[0131] Aquaculture units with directional deviation values ​​higher than the preset deviation are screened and merged to form a second aquaculture area.

[0132] It should be noted that within a single aquaculture unit, there may be multiple simulated migration directions and actual migration directions. When calculating the deviation, the two migration directions with the smallest deviations are selected for calculation. The directional deviation value can be determined based on the angle between two vectors and is used to judge the migration deviation rate. Both the first and second aquaculture regions include multiple aquaculture units, and the regions are merged based on these multiple units.

[0133] It is worth noting that the ecological environment of seawater ponds is often complex and changeable due to factors such as aquaculture plans, feed input, fluctuations in the water environment, changes in water flow fields, meteorological changes, and the diffusion effect of pollutants. Existing technologies are unable to accurately assess the migration and diffusion of pollutants, and there is a lack of precise analysis of the migration and changes of pollutants. Corresponding ecological regulation and pollution control decisions are often based on human experience and have a low degree of intelligence.

[0134] Based on this, the present invention monitors the pollutant content and water flow status of aquaculture units, sets simulated migration directions and actual migration directions based on historical and current cycles, and dynamically filters out aquaculture areas with lower and higher deviations by analyzing the deviation of migration directions, namely the first and second aquaculture areas. The first aquaculture area is the area where the migration distribution conforms to expectations. Furthermore, the migration path is simulated and analyzed using the A* shortest path, and the migration path of pollutants is dynamically predicted. The second aquaculture area is a specific area with certain abnormal migration status, which is difficult to predict conventionally. Therefore, the present invention analyzes multiple predetermined dispersion paths, performs fitting analysis on the pollutant content data of the aquaculture area of ​​the corresponding path in the area, judges whether the fitting change conforms to the linear change, and selects the path with the highest goodness of fit as the prediction path, thereby improving the prediction accuracy in abnormal migration areas and achieving accurate and rapid migration and diffusion prediction, providing strong data support for subsequent ecological regulation.

[0135] A path with a high goodness of fit indicates that the pollutants exhibit a certain linear variation pattern within the path, and the probability that the path is the actual pollution migration path is also greater.

[0136] According to an embodiment of the present invention, step S5 specifically includes:

[0137] In the first aquaculture area, the pollutant content data of the second monitoring period were used to analyze each aquaculture unit. The area where the aquaculture unit with the highest pollutant content was located was set as the pollution origin, and the area where the aquaculture unit with the lowest pollutant content was set as the pollution endpoint.

[0138] Initialize the path cost for each farming unit;

[0139] Based on the water flow monitoring information from the second monitoring cycle, the water flow direction is compared with the actual migration direction, and the path cost of each aquaculture unit is adjusted in combination with the water flow speed.

[0140] Based on the A* algorithm, the pollution origin and pollution endpoint are used as the start and end points, and the breeding unit is used as the moving node. The shortest path is planned by combining the path cost and a predicted path based on the third monitoring cycle is generated and marked as the first predicted migration path.

[0141] It should be noted that, in the first aquaculture area, the pollutant content data from the second monitoring period are used to analyze each aquaculture unit, i.e., each aquaculture unit in the first aquaculture area. In the analysis of the first predicted migration path, data from the second monitoring period (i.e., the current period) are used for analysis.

[0142] The initial path cost for each aquaculture unit is a consistent value, i.e., the path distance. Based on the water flow monitoring information from the second monitoring period, the water flow direction is compared with the actual migration direction. The path cost for each aquaculture unit is adjusted in conjunction with the water flow velocity. Specifically, it is determined whether the water flow direction and the actual migration direction are consistent. If they are, the path cost is reduced proportionally to the water flow velocity; otherwise, the path cost is increased proportionally to the water flow velocity. The consistency of directions is determined by whether the angle between the directions is within a preset low angle range, such as within 20°. The first predicted migration path is a pollution migration path calculated using A* shortest path planning based on the second period data, and it serves as the predicted path for the third monitoring period.

[0143] According to an embodiment of the present invention, step S6 specifically includes:

[0144] In the second aquaculture area, based on the pollutant content data of the second monitoring period, the aquaculture unit with the highest pollutant content was marked as the center point;

[0145] Multiple migration directions are set starting from the center point, and multiple pollution paths are set based on these migration directions;

[0146] The pollutant content values ​​of the breeding units along the pollution path are extracted to form sequence data. The sequence data is linearly fitted, and the optimal pollution path is selected based on the goodness of fit and marked as the second predicted migration path.

[0147] It should be noted that all the multiple migration directions use the center point as the starting point. Specifically, multiple migration directions are set based on preset angle intervals, and a contaminated path is formed based on the set directions. The contaminated path is a straight path and is subsequently filtered. The optimal contaminated path is the path with the highest goodness of fit.

[0148] According to an embodiment of the present invention, step S7 specifically includes:

[0149] Ecological assessments were conducted on the first and second aquaculture areas using the first and second predicted migration paths, respectively, and an ecological environment monitoring plan was generated. Based on the aquaculture units with predicted pollutant pathways, corresponding pollution control plans were generated.

[0150] It should be noted that the ecological environment monitoring plan includes ecological monitoring plans for the first and second aquaculture areas. Monitoring is planned in advance through pollution prediction pathways, which improves the utilization rate of monitoring resources and effectively enhances monitoring accuracy. Based on the selected pollutants, corresponding pollution control plans are developed and applied to the aquaculture units. The pollution control plans include control measures for both the first and second aquaculture areas. Pollutant prediction pathways for the aquaculture units are obtained through the first and second predicted migration pathways.

[0151] A third aspect of the present invention also provides a computer-readable storage medium comprising a marine pond aquaculture ecological environment control program, wherein when the marine pond aquaculture ecological environment control program is executed by a processor, it implements the steps of the marine pond aquaculture ecological environment control method as described in any of the preceding claims.

[0152] This invention discloses a method and system for ecological environment control in seawater pond aquaculture. The method involves setting first and second monitoring cycles and acquiring pollutant data and water flow information for each aquaculture unit; analyzing pollutant migration changes based on the data from both cycles, and setting simulated and actual migration directions based on the water flow information; merging aquaculture units according to the degree of deviation between the simulated and actual migration directions to obtain first and second aquaculture areas; in the low-deviation first aquaculture area, generating a first predicted migration path by simulating the shortest path based on the pollution origin and destination using the A* algorithm; in the high-deviation second aquaculture area, setting multiple paths to fit the pollution data with the largest polluted unit as the center point, and selecting the optimal path as the second predicted migration path based on the goodness of fit; analyzing the pollution diffusion risk based on the two predicted migration paths, and formulating corresponding ecological monitoring and control schemes.

[0153] In the several embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are merely illustrative. For example, the division of units is only a logical functional division, and in actual implementation, there may be other division methods, such as: multiple units or components can be combined, or integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the various components shown or discussed can be through some interfaces, and the indirect coupling or communication connection between devices or units can be electrical, mechanical, or other forms.

[0154] The units described above as separate components may or may not be physically separate. The components shown as units may or may not be physical units. They may be located in one place or distributed across multiple network units. Some or all of the units may be selected to achieve the purpose of this embodiment according to actual needs.

[0155] In addition, in the various embodiments of the present invention, each functional unit can be integrated into one processing unit, or each unit can be a separate unit, or two or more units can be integrated into one unit; the integrated unit can be implemented in hardware or in the form of hardware plus software functional units.

[0156] Those skilled in the art will understand that all or part of the steps of the above method embodiments can be implemented by hardware related to program instructions. The aforementioned program can be stored in a computer-readable storage medium. When the program is executed, it performs the steps of the above method embodiments. The aforementioned storage medium includes various media capable of storing program code, such as mobile storage devices, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0157] Alternatively, if the integrated units of this invention are implemented as software functional modules and sold or used as independent products, they can also be stored in a computer-readable storage medium. Based on this understanding, the technical solutions of the embodiments of this invention, or the parts that contribute to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the methods described in the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as mobile storage devices, ROM, RAM, magnetic disks, or optical disks.

[0158] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any changes or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in the present invention should be included within the scope of protection of the present invention.

Claims

1. A method for ecological environment control in seawater pond aquaculture, characterized in that, include: S1: Set the first and second monitoring cycles, and obtain pollutant content data of multiple aquaculture units in the seawater pond through the monitoring unit; S2: Based on the first monitoring cycle, analyze the pollutant migration changes of each aquaculture unit through pollutant content data, and set the simulated migration direction by combining water flow monitoring information; S3: Based on the second monitoring cycle, analyze the pollutant migration changes in each aquaculture unit through pollutant content data to determine the actual migration direction; S4: Calculate the migration deviation for each breeding unit based on the simulated migration direction and the actual migration direction. Merge breeding units with low deviation to obtain the first breeding area, and merge breeding units with high deviation to obtain the second breeding area. S5: In the first aquaculture area, the pollution origin and pollution endpoint are determined based on pollutant content data. The path cost of the aquaculture unit is set in combination with water flow monitoring information. The shortest path of pollutants is simulated using the A* algorithm, and the first predicted migration path is generated. S6: In the second aquaculture area, the aquaculture unit with the highest pollutant content is marked as the center point. Multiple pollution paths are set through the center point. The pollutant content values ​​corresponding to the pollution paths are linearly fitted. Based on the goodness of fit, the optimal pollution path is selected and marked as the second predicted migration path. S7: Conduct pollution diffusion analysis and assessment of the first and second predicted migration paths, and set up ecological monitoring and pollution control plans for aquaculture units. Specifically, S2 refers to: By using the pollutant content data from the first monitoring period, the pollutant content values ​​of each aquaculture unit are obtained, the changes in pollutant content between each aquaculture unit and neighboring aquaculture units are analyzed, and the initial migration direction is set. The direction of water flow in aquaculture units is determined by water flow monitoring information; Based on the area of ​​the seawater pond, a two-dimensional plane is defined, and the initial migration direction and water flow direction are transformed into two planar vectors. The direction of the angle bisector of the angle between the two planar vectors is used as the optimized migration direction. The optimized migration direction is marked as the simulated migration direction of the breeding unit.

2. The method for ecological environment regulation in seawater pond aquaculture according to claim 1, characterized in that, Specifically, S1 is: Set a first monitoring cycle and a second monitoring cycle, with the second monitoring cycle being the current cycle; The monitoring unit is used to monitor pollutants and water quality in multiple aquaculture units in the seawater pond in real time, and obtain pollutant content data and water flow monitoring information for the first and second monitoring cycles.

3. The method for ecological environment regulation in seawater pond aquaculture according to claim 1, characterized in that, Specifically, S3 is: Based on the pollutant content data of the second monitoring period, the pollutant content values ​​of each breeding unit were obtained and compared with the pollutant content values ​​of each breeding unit in the first monitoring period. The changes in pollutant content in each breeding unit under the two monitoring periods were analyzed, and the actual migration direction of pollutants in each breeding unit was determined.

4. The method for ecological environment regulation in seawater pond aquaculture according to claim 1, characterized in that, Specifically, S4 is: Based on the two-dimensional plane defined within the seawater pond area, for each aquaculture unit, the simulated migration direction and the actual migration direction are vectorized and the directional deviation between the vectors is calculated to obtain the directional deviation value. Aquaculture units with directional deviation values ​​lower than the preset deviation are screened and merged to form the first aquaculture area; Aquaculture units with directional deviation values ​​higher than the preset deviation are screened and merged to form a second aquaculture area.

5. The method for ecological environment regulation in seawater pond aquaculture according to claim 1, characterized in that, Specifically, S5 is: In the first aquaculture area, the pollutant content data of the second monitoring period were used to analyze each aquaculture unit. The area where the aquaculture unit with the highest pollutant content was located was set as the pollution origin, and the area where the aquaculture unit with the lowest pollutant content was set as the pollution endpoint. Initialize the path cost for each farming unit; Based on the water flow monitoring information from the second monitoring cycle, the water flow direction is compared with the actual migration direction, and the path cost of each aquaculture unit is adjusted in combination with the water flow speed. Based on the A* algorithm, the pollution origin and pollution endpoint are used as the start and end points, and the breeding unit is used as the moving node. The shortest path is planned by combining the path cost and a predicted path based on the third monitoring cycle is generated and marked as the first predicted migration path.

6. The method for ecological environment regulation in seawater pond aquaculture according to claim 1, characterized in that, Specifically, S6 is: In the second aquaculture area, based on the pollutant content data of the second monitoring period, the aquaculture unit with the highest pollutant content was marked as the center point; Multiple migration directions are set starting from the center point, and multiple pollution paths are set based on these migration directions; The pollutant content values ​​of the breeding units along the pollution path are extracted to form sequence data. The sequence data is linearly fitted, and the optimal pollution path is selected based on the goodness of fit and marked as the second predicted migration path.

7. The method for ecological environment regulation in seawater pond aquaculture according to claim 1, characterized in that, Specifically, S7 is: Ecological assessments were conducted on the first and second aquaculture areas using the first and second predicted migration paths, respectively, and an ecological environment monitoring plan was generated. Based on the aquaculture units with predicted pollutant pathways, corresponding pollution control plans were generated.

8. A marine pond aquaculture ecological environment control system, characterized in that, The system includes: a memory and a processor. The memory includes a program for regulating the ecological environment of seawater pond aquaculture. When the program is executed by the processor, it implements the steps of the method for regulating the ecological environment of seawater pond aquaculture as described in claim 1.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium includes a marine pond aquaculture ecological environment control program, which, when executed by a processor, implements the steps of the marine pond aquaculture ecological environment control method as described in any one of claims 1 to 7.

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