Seawater pond culture ecological environment regulation and control method and system

Abstract

The invention discloses a seawater pond culture ecological environment regulation and control method and system. A first monitoring period and a second monitoring period are set, and pollutant data and water flow information of each breeding unit are obtained; pollutant migration changes are analyzed based on data of two periods, and simulation and actual migration directions are set in combination with water flow information; combining the breeding units according to the deviation degree of the simulation and actual migration directions to obtain a first breeding area and a second breeding area; simulating a shortest path through an A * algorithm to generate a first predicted migration path based on the pollution origin and the pollution terminal in the low-deviation first breeding area; setting a plurality of paths for pollution data fitting by taking the maximum pollution unit as a central point in the high-deviation second breeding area, and screening an optimal path as a second predicted migration path based on the goodness of fit; the pollution diffusion risk is analyzed based on the two prediction migration paths, and a corresponding ecological monitoring and regulation scheme is formulated.

Description

Technical Field

[0001] The present invention relates to the field of seawater aquaculture and ecological regulation, and more specifically, to a method and system for regulating the ecological environment of seawater pond aquaculture. Background Art

[0002] As an important way of aquatic product production in coastal areas, seawater pond aquaculture has the characteristics of controllable water body and ecological dependence, and can meet the production needs of human aquatic products to a certain extent.

[0003] However, affected by factors such as aquaculture plans, feed input, water environment fluctuations, water flow field changes, meteorological changes, and pollutant diffusion effects, the ecological environment of seawater ponds is often complex and changeable. As a result, the migration state of pollutants in the aquaculture area is complex and changeable. It is difficult for existing technologies to accurately evaluate migration and analyze diffusion, and there is a lack of accurate analysis of the migration changes of pollutants. The corresponding ecological regulation and pollution control decisions are often based on artificial experience, with low intelligence. Therefore, there is an urgent need for a method for regulating the ecological environment of seawater pond aquaculture. Summary of the Invention

[0004] The present invention overcomes the defects of the prior art and provides a method and system for regulating the ecological environment of seawater pond aquaculture.

[0005] In a first aspect of the present invention, a method for regulating the ecological environment of seawater pond aquaculture is provided, including: S1: Set a first monitoring period and a second monitoring period, and obtain the pollutant content data of multiple aquaculture units in the seawater pond through a monitoring unit; S2: Based on the first monitoring period, analyze the pollutant migration changes of each aquaculture unit through the pollutant content data, and set the simulated migration direction in combination with the water flow monitoring information; S3: Based on the second monitoring period, analyze the pollutant migration changes of each aquaculture unit through the pollutant content data, and determine the actual migration direction; S4: Calculate the migration deviation for each aquaculture unit according to the simulated migration direction and the actual migration direction, merge the aquaculture units with low deviation to obtain a first aquaculture area, and merge the aquaculture units with high deviation to obtain a second aquaculture area; S5: In the first aquaculture area, determine the pollution origin and the pollution end point based on the pollutant content data, set the path cost of the aquaculture unit in combination with the water flow monitoring information, simulate the shortest path of the pollutant through the A* algorithm, and generate a first predicted migration path; S6: In the second aquaculture area, mark the aquaculture unit with the largest pollutant content as the center point, set multiple pollution paths through the center point, perform linear fitting on the pollutant content values corresponding to the pollution paths, and based on the goodness of fit, select the optimal pollution path and mark it as the second predicted migration path; S7: Conduct pollution diffusion analysis and evaluation on the first predicted migration path and the second predicted migration path, and set an ecological monitoring plan and a pollution control plan for the aquaculture units.

[0006] In this solution, the specific content of S1 is as follows: Set a first monitoring period and a second monitoring period, and the second monitoring period is the current period; Through the monitoring unit, conduct real-time monitoring of pollutants and water bodies in multiple aquaculture units in the seawater pond, and obtain the pollutant content data and water flow monitoring information corresponding to the first monitoring period and the second monitoring period.

[0007] In this solution, the specific content of S2 is as follows: Based on the pollutant content data of the first monitoring period, obtain the pollutant content value of each aquaculture unit, analyze the changes in the pollutant content of each aquaculture unit and its neighboring aquaculture units, and set the initial migration direction; Set the water flow direction of the aquaculture unit through the water flow monitoring information; Based on the seawater pond range, set a two-dimensional plane, convert the initial migration direction and the water flow direction into two plane vectors, and use the bisector direction of the angle between the two plane vectors as the optimized migration direction; Mark the optimized migration direction as the simulated migration direction of the aquaculture unit.

[0008] In this solution, the specific content of S3 is as follows: According to the pollutant content data of the second monitoring period, obtain the pollutant content value of each aquaculture unit, compare the pollutant content value of each aquaculture unit in the first monitoring period, analyze the changes in the pollutant content in each aquaculture unit under the two monitoring periods, and determine the actual migration direction of the pollutants in each aquaculture unit.

[0009] In this solution, the specific content of S4 is as follows: Based on the seawater pond range, set a two-dimensional plane. For each aquaculture unit, vectorize the simulated migration direction and the actual migration direction and calculate the direction deviation between the vectors to obtain the direction deviation value; Screen and merge the aquaculture units with direction deviation values lower than the preset deviation to form the first aquaculture area; Screen and merge the aquaculture units with direction deviation values higher than the preset deviation to form the second aquaculture area.

[0010] In this solution, the specific content of S5 is as follows: In the first aquaculture area, based on the pollutant content data of the second monitoring period, each aquaculture unit is analyzed. The area where the aquaculture unit with the highest pollutant content is located is set as the pollution origin point, and the area where the aquaculture unit with the lowest pollutant content is located is set as the pollution end point; Initialize the path cost of each aquaculture unit; Based on the water flow monitoring information of the second monitoring period, compare the water flow direction with the actual migration direction, and adjust the path cost of each aquaculture unit in combination with the water flow speed; Based on the A* algorithm, using the pollution origin point and the pollution end point as the starting point and the ending point, and using the aquaculture unit as the moving node, conduct the shortest path planning in combination with the path cost, and generate a predicted path based on the third monitoring period, marked as the first predicted migration path.

[0011] In this solution, S6 is specifically as follows: In the second aquaculture area, based on the pollutant content data of the second monitoring period, mark the aquaculture unit with the largest pollutant content as the center point; Set multiple migration directions with the center point as the starting point, and set multiple pollution paths based on the multiple migration directions; Extract the pollutant content values corresponding to the aquaculture units passed by the pollution path to form sequence data, perform linear fitting on the sequence data, and based on the goodness of fit, screen out the optimal pollution path, marked as the second predicted migration path.

[0012] In this solution, S7 is specifically as follows: Through the first predicted migration path and the second predicted migration path, conduct ecological assessments on the first aquaculture area and the second aquaculture area respectively, generate an ecological environment monitoring plan, and generate a corresponding pollution control plan based on the aquaculture units through which the pollutants are predicted to pass.

[0013] The second aspect of the present invention also provides a seawater pond aquaculture ecological environment regulation system, which includes: a memory and a processor. The memory includes a seawater pond aquaculture ecological environment regulation program. When the seawater pond aquaculture ecological environment regulation program is executed by the processor, the following steps are implemented: S1: Set the first monitoring period and the second monitoring period, and through the monitoring unit, obtain the pollutant content data of multiple aquaculture units in the seawater pond; S2: Based on the first monitoring period, analyze the pollutant migration changes of each aquaculture unit through the pollutant content data, and set the simulated migration direction in combination with the water flow monitoring information; S3: Based on the second monitoring period, analyze the pollutant migration changes of each aquaculture unit through the pollutant content data, and determine the actual migration direction; S4: Calculate the migration deviation for each aquaculture unit based on the simulated migration direction and the actual migration direction, merge the aquaculture units with low deviation to obtain the first aquaculture area, and merge the aquaculture units with high deviation to obtain the second aquaculture area; S5: In the first aquaculture area, determine the pollution origin and the pollution end point based on the pollutant content data, set the path cost of the aquaculture unit in combination with the water flow monitoring information, simulate the shortest path of the pollutant through the A* algorithm, and generate the first predicted migration path; S6: In the second aquaculture area, mark the aquaculture unit with the largest pollutant content as the center point, set multiple pollution paths through the center point, perform linear fitting on the pollutant content values corresponding to the pollution paths, and based on the goodness of fit, screen out the optimal pollution path and mark it as the second predicted migration path; S7: Conduct pollution diffusion analysis and evaluation on the first predicted migration path and the second predicted migration path, and set an ecological monitoring plan and a pollution control plan for the aquaculture unit.

[0014] The third aspect of the present invention further provides a computer-readable storage medium, which includes a seawater pond aquaculture ecological environment regulation program. When the seawater pond aquaculture ecological environment regulation program is executed by a processor, the steps of the seawater pond aquaculture ecological environment regulation method as described in any one of the above are realized.

[0015] The present invention discloses a seawater pond aquaculture ecological environment regulation method and system. By setting the first and second monitoring periods and obtaining the pollutant data and water flow information of each aquaculture unit; respectively analyzing the migration and change of pollutants based on the data of the two periods, and combining the water flow information to set the simulated and actual migration directions; merging the aquaculture units according to the deviation degree of the simulated and actual migration directions to obtain the first and second aquaculture areas; in the first aquaculture area with low deviation, based on the pollution origin and end point, simulate the shortest path through the A* algorithm to generate the first predicted migration path; in the second aquaculture area with high deviation, take the aquaculture unit with the largest pollution as the center point, set multiple paths for pollution data fitting, and screen out the optimal path based on the goodness of fit as the second predicted migration path; analyze the pollution diffusion risk based on the two predicted migration paths, and formulate corresponding ecological monitoring and regulation plans. Description of the Drawings

[0016] Figure 1 Shows a flowchart of a seawater pond aquaculture ecological environment regulation method of the present invention; Figure 2 Shows a flowchart of the analysis of the simulated migration direction of the present invention; Figure 3 Shows a block diagram of a seawater pond aquaculture ecological environment regulation system of the present invention. Detailed Embodiments

[0017] To more clearly understand the above objects, 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, without conflict, the embodiments of the present application and the features in the embodiments may be combined with each other.

[0018] In the following description, many specific details are set forth in order to fully understand the present invention. However, the present invention may also be implemented in other ways different from those described herein. Therefore, the protection scope of the present invention is not limited by the specific embodiments disclosed below.

[0019] Figure 1 The flowchart of an ecological environment regulation method for seawater pond aquaculture according to the present invention is shown.

[0020] As Figure 1 shown, in the first aspect of the present invention, an ecological environment regulation method for seawater pond aquaculture is provided, including: S1: Set a first monitoring period and a second monitoring period, and obtain the pollutant content data of multiple aquaculture units in the seawater pond through a monitoring unit; S2: Based on the first monitoring period, analyze the pollutant migration changes of each aquaculture unit through the pollutant content data, and combine the water flow monitoring information to set the simulated migration direction; S3: Based on the second monitoring period, analyze the pollutant migration changes of each aquaculture unit through the pollutant content data, and determine the actual migration direction; S4: Calculate the migration deviation for each aquaculture unit according to the simulated migration direction and the actual migration direction, merge the aquaculture units with low deviation to obtain a first aquaculture area, and merge the aquaculture units with high deviation to obtain a second aquaculture area; S5: In the first aquaculture area, determine the pollution origin and the pollution end point based on the pollutant content data, combine the water flow monitoring information to set the path cost of the aquaculture unit, simulate the shortest path of the pollutant through the A* algorithm, and generate a first predicted migration path; S6: In the second aquaculture area, mark the aquaculture unit with the largest pollutant content as the center point, set multiple pollution paths through the center point, perform linear fitting on the pollutant content values corresponding to the pollution paths, and based on the goodness of fit, screen out the optimal pollution path and mark it as the second predicted migration path; S7: Perform pollution diffusion analysis and evaluation on the first predicted migration path and the second predicted migration path, and set an ecological monitoring plan and a pollution regulation plan for the aquaculture unit.

[0021] According to the embodiment of the present invention, the S1 is specifically: Set a first monitoring period and a second monitoring period, and the second monitoring period is the current period; Through a monitoring unit, real-time monitoring of pollutants and water bodies is carried out on multiple aquaculture units in a seawater pond, and pollutant content data and water flow monitoring information corresponding to a first monitoring period and a second monitoring period are obtained.

[0022] It should be noted that the first monitoring period is a 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 the monitoring period helps to carry out dynamic data analysis and dynamic setting of pollution areas in the follow-up. Both the first monitoring period and the second monitoring period correspond to independent pollutant content data, and the pollutant content data includes the pollutant content information of each aquaculture unit. Pollutants include nitrogen, phosphorus, organic matter, suspended solids, heavy metals, etc. Based on the actual aquaculture and pollution situation, one or more pollutants can be selected for content determination research, and the content changes and regional migration of pollutants can be analyzed. An aquaculture unit is a relatively small area set within the scope of seawater aquaculture, which is used for refined analysis of the pollution migration changes in the overall area during the seawater aquaculture process. In the follow-up, the pollution migration path analysis and regional combined analysis are carried out by studying the pollutant data and water body data of the aquaculture unit.

[0023] The monitoring unit is set in each aquaculture unit for real-time monitoring of water body data and pollution information, and recording water flow monitoring information and pollutant content data. Each monitoring period includes corresponding pollutant content data and water flow monitoring information.

[0024] Figure 2 The flow chart of the simulated migration direction analysis of the present invention is shown; According to an embodiment of the present invention, the S2 is specifically: S201: Through the pollutant content data of the first monitoring period, obtain the pollutant content value of each aquaculture unit, analyze the change of pollutant content between each aquaculture unit and its neighboring aquaculture units, and set the initial migration direction; S202: Set the water flow direction of the aquaculture unit through the water flow monitoring information; S203: Set a two-dimensional plane based on the scope of the seawater pond, convert the initial migration direction and the water flow direction into two plane vectors, and use the angular bisector direction of the included angle between the two plane vectors as the optimized migration direction; S204: Mark the optimized migration direction as the simulated migration direction of the aquaculture unit.

[0025] 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 the migration direction comprehensively evaluated by combining water flow and pollutant content. This direction is a comprehensive simulation direction, which is the general migration direction of pollutants under normal circumstances without migration anomalies. This simulated direction is used for comparison and screening of abnormal unit areas in the follow-up.

[0026] According to an embodiment of the present invention, step S3 is specifically as follows: Based on the pollutant content data of the second monitoring period, obtain the pollutant content value of each aquaculture unit, compare the pollutant content value of each aquaculture unit in the first monitoring period, analyze the changes in pollutant content in each aquaculture unit under the two monitoring periods, and determine the actual migration direction of pollutants in each aquaculture unit.

[0027] It should be noted that the initial migration direction is the direction obtained by analyzing the changes in pollutant content between a certain aquaculture unit and its neighboring aquaculture units. Specifically, when the pollutant concentration of a certain aquaculture unit is high, while the pollutant concentration in the neighboring unit area in a certain marked direction (such as the north direction) is low, the pollution migration direction can be set as the marked direction (such as the north direction). Through the analysis of pollutant data of each aquaculture unit, the corresponding migration direction can be evaluated. The actual migration direction is the migration direction analyzed based on the comparison of pollutant content in aquaculture units in the previous cycle (the first monitoring period). Specifically, when comparing the two cycles, if the pollutant content of a certain aquaculture unit decreases while it increases in the remaining neighboring areas, the actual migration direction of pollutants can be determined as from a certain aquaculture unit to the remaining neighboring areas.

[0028] According to an embodiment of the present invention, step S4 is specifically as follows: Set a two-dimensional plane based on the range of the seawater pond. For each aquaculture unit, vectorize the simulated migration direction and the actual migration direction and calculate the direction deviation between the vectors to obtain the direction deviation value; Screen and merge the aquaculture units with direction deviation values lower than the preset deviation to form the first aquaculture area; Screen and merge the aquaculture units with direction deviation values higher than the preset deviation to form the second aquaculture area.

[0029] It should be noted that in an aquaculture unit, there may be multiple simulated migration directions and actual migration directions. When calculating the deviation, the two migration directions with the smallest direction deviation are respectively selected for calculation. The direction deviation value can be determined based on the included angle between the two vectors and is used to judge the migration deviation rate. Both the first and second aquaculture areas include multiple aquaculture units, and area merging is performed based on multiple aquaculture units.

[0030] It is worth noting here that affected by factors such as breeding plans, feed input, water environment fluctuations, water flow field changes, meteorological changes, pollutant diffusion effects, etc., the ecological environment of seawater ponds is often complex and changeable. For the migration analysis and migration changes of pollutants, it is difficult for existing technologies to accurately evaluate the migration and diffusion, lacking accurate analysis of the migration changes of pollutants. The corresponding ecological regulation and pollution control decisions are often based on artificial experience, with low intelligence.

[0031] Based on this, the present invention monitors the pollutant content and water flow state of breeding units, sets the simulated migration direction and actual migration direction based on the historical cycle and the current cycle, and dynamically screens out the breeding areas with lower deviation and higher deviation through the deviation of the migration direction, that is, the first and second breeding areas. The first breeding area is the area where the migration distribution meets the expectations. Further, through the A* shortest path, the migration path is simulated and analyzed, and the migration path of pollutants is dynamically predicted. The second breeding area is specifically the area where there is a certain abnormal migration state and it is difficult to conduct conventional prediction. Therefore, the present invention analyzes multiple predetermined scattered paths, fits and analyzes the pollutant content data of the breeding areas on the corresponding paths in the area, judges whether the fitting change conforms to the linear change, screens out the path with the highest goodness of fit, and uses it as the prediction path, so as to improve the prediction accuracy in the abnormal migration area and achieve accurate and rapid migration and diffusion prediction, providing strong data support for subsequent ecological regulation.

[0032] A path with a higher goodness of fit indicates that there is a certain linear change law of pollutants in the path, and the probability that the path is the actual pollution migration path is also greater.

[0033] According to the embodiment of the present invention, the S5 is specifically: In the first breeding area, through the pollutant content data of the second monitoring cycle, each breeding unit is analyzed, the area where the breeding unit with the highest pollutant content is located is set as the pollution origin, and the area where the breeding unit with the lowest pollutant content is located is set as the pollution end point; Initialize the path cost of each breeding unit; Based on the water flow monitoring information of the second monitoring cycle, compare the water flow direction with the actual migration direction, and adjust the path cost of each breeding unit in combination with the water flow speed; Based on the A* algorithm, taking the pollution origin and pollution end point as the starting point and end point, taking the breeding unit as the moving node, combining the path cost to conduct the shortest path planning, and generating a prediction path based on the third monitoring cycle, marked as the first predicted migration path.

[0034] It should be noted that in the first breeding area, based on the pollutant content data of the second monitoring period, each breeding unit in the first breeding area is analyzed. In analyzing the first predicted migration path, the data of the second monitoring period (i.e., the current period) are all used for analysis.

[0035] The initial path cost of each breeding unit is a consistent value, that is, the path distance value. Based on the water flow monitoring information of the second monitoring period, the water flow direction is compared with the actual migration direction, and the path cost of each breeding unit is adjusted in combination with the water flow speed. Specifically, it is judged whether the direction is consistent according to the water flow direction and the actual migration direction. If so, the path cost is reduced, and the reduction amount is proportional to the water flow speed. If not, the path cost is increased, and the increase amount is proportional to the water flow speed. Here, to judge whether the direction is consistent, it can be determined that the direction is consistent by judging whether the direction angle is within a preset low angle range, for example, within 20°. The first predicted migration path is the pollution migration path planned by A* shortest path based on the data of the second period and is used as the predicted path for the third monitoring period.

[0036] According to the embodiment of the present invention, the S6 is specifically as follows: In the second breeding area, based on the pollutant content data of the second monitoring period, the breeding unit with the largest pollutant content is marked as the center point; Set multiple migration directions starting from the center point, and set multiple pollution paths based on the multiple migration directions; Extract the pollutant content values corresponding to the breeding units passed by the pollution paths to form sequence data, perform linear fitting on the sequence data, and based on the goodness of fit, screen out the optimal pollution path and mark it as the second predicted migration path.

[0037] It should be noted that the multiple migration directions all start from the center point. Specifically, multiple migration directions are set based on a preset angle interval, and pollution paths are formed based on the set directions. The pollution paths are straight paths and are screened later. The optimal pollution path is the path with the highest goodness of fit.

[0038] According to the embodiment of the present invention, the S7 is specifically as follows: Through the first predicted migration path and the second predicted migration path, ecological evaluations are respectively carried out on the first breeding area and the second breeding area, and an ecological environment monitoring plan is generated. Based on the breeding units through which the pollutants are predicted to pass, a corresponding pollution control plan is generated.

[0039] It should be noted that the ecological environment monitoring plan includes the ecological monitoring plans for the first and second aquaculture areas. Through the pollution prediction path, monitoring is planned in advance, which can effectively improve the monitoring accuracy while improving the utilization rate of monitoring resources, and a corresponding pollution control plan is formulated based on the selected pollutants and applied to the aquaculture units. The pollution control plan includes the control plans for the first and second aquaculture areas. The pollutant prediction path for the aquaculture unit is obtained through the first and second prediction migration paths.

[0040] According to an embodiment of the present invention, it further includes: In the third monitoring period, the pollutant content data and water flow monitoring information of multiple aquaculture units are monitored and obtained in real time; Combined with the pollutant content data and water flow monitoring information in the second monitoring period, the simulation analysis and comparison of the migration direction are carried out, and the first aquaculture area and the second aquaculture area are dynamically adjusted; Based on the adjusted first aquaculture area and second aquaculture area, pollutant migration prediction is carried out.

[0041] It should be noted that during the real-time pollutant migration analysis process, due to factors such as the water environment, changes in the water flow field, meteorological changes, and pollutant diffusion effects, aquaculture ponds often require a dynamic control plan and dynamic analysis of the pollution situation. Therefore, through the real-time analysis of the monitoring data, the present invention dynamically adjusts the first and second aquaculture areas, and further adjusts the predicted migration route, so that the system analysis has high adaptability, improves the high automation of the marine pond monitoring platform, reduces manual participation, and realizes the intelligent control, monitoring, and analysis of the ecological situation of pond aquaculture.

[0042] Figure 3 The block diagram of an ecological environment regulation system for seawater pond aquaculture according to the present invention is shown.

[0043] In a second aspect of the present invention, an ecological environment regulation system 3 for seawater pond aquaculture is further provided. The system includes: a memory 31 and a processor 32. The memory 31 includes an ecological environment regulation program for seawater pond aquaculture. When the ecological environment regulation program for seawater pond aquaculture is executed by the processor 32, the following steps are realized: S1: Set a first monitoring period and a second monitoring period, and through the monitoring unit, obtain the pollutant content data of multiple aquaculture units in the seawater pond; S2: Based on the first monitoring period, analyze the pollutant migration changes of each aquaculture unit through the pollutant content data, and combine the water flow monitoring information to set the simulated migration direction; S3: Based on the second monitoring period, analyze the pollutant migration changes of each aquaculture unit through the pollutant content data, and determine the actual migration direction; S4: Calculate the migration deviation for each aquaculture unit based on the simulated migration direction and the actual migration direction, merge the aquaculture units with low deviation to obtain the first aquaculture area, and merge the aquaculture units with high deviation to obtain the second aquaculture area; S5: In the first aquaculture area, determine the pollution origin and the pollution end point based on the pollutant content data, set the path cost of the aquaculture unit in combination with the water flow monitoring information, simulate the shortest path of the pollutant through the A* algorithm, and generate the first predicted migration path; S6: In the second aquaculture area, mark the aquaculture unit with the largest pollutant content as the center point, set multiple pollution paths through the center point, perform linear fitting on the pollutant content values corresponding to the pollution paths, and based on the goodness of fit, screen out the optimal pollution path and mark it as the second predicted migration path; S7: Conduct pollution diffusion analysis and evaluation on the first predicted migration path and the second predicted migration path, and set an ecological monitoring plan and a pollution control plan for the aquaculture unit.

[0044] According to the embodiments of the present invention, the S1 is specifically: Set the first monitoring period and the second monitoring period, and the second monitoring period is the current period; Through the monitoring unit, conduct real-time monitoring of pollutants and water bodies for multiple aquaculture units in the seawater pond, and obtain the pollutant content data and water flow monitoring information corresponding to the first monitoring period and the second monitoring period.

[0045] 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 the monitoring period helps to perform dynamic data analysis and dynamic setting of the pollution area in the subsequent process. Both the first monitoring period and the second monitoring period correspond to independent pollutant content data, and the pollutant content data includes the pollutant content information of each aquaculture unit. Pollutants include nitrogen, phosphorus, organic matter, suspended solids, heavy metals, etc. Based on the actual aquaculture and pollution situations, one or more pollutants can be selected for content determination research, and the content changes and regional migration of pollutants can be analyzed. An aquaculture unit is a relatively small area set within the scope of seawater aquaculture, which is used for fine analysis of the pollution migration changes in the overall area during the seawater aquaculture process. In the subsequent process, pollution migration path analysis and regional merger analysis are carried out by studying the pollutant data and water body data of the aquaculture unit.

[0046] The monitoring unit is set in each aquaculture unit for real-time monitoring of water body data and pollution information, and recording water flow monitoring information and pollutant content data. Each monitoring period includes corresponding pollutant content data and water flow monitoring information.

[0047] According to the embodiments of the present invention, the S2 is specifically: Obtain the pollutant content values of each aquaculture unit from the pollutant content data of the first monitoring period, analyze the changes in pollutant content between each aquaculture unit and its neighboring aquaculture units, and set the initial migration direction; Set the water flow direction of the aquaculture unit based on the water flow monitoring information; Set up a two-dimensional plane based on the range of the seawater pond. Convert the initial migration direction and the water flow direction into two plane vectors, and use the bisector direction of the angle between the two plane vectors as the optimized migration direction; Mark the optimized migration direction as the simulated migration direction of the aquaculture unit.

[0048] 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 the migration direction obtained by comprehensively evaluating the water flow and pollutant content. This direction is a comprehensive simulation direction, which is the general migration direction of pollutants under normal circumstances and without abnormal migration. This simulated direction is used for subsequent comparison and screening of abnormal unit areas.

[0049] According to the embodiment of the present invention, the S3 is specifically as follows: Obtain the pollutant content values of each aquaculture unit from the pollutant content data of the second monitoring period, compare the pollutant content values of each aquaculture unit in the first monitoring period, analyze the changes in pollutant content in each aquaculture unit in the two monitoring periods, and determine the actual migration direction of pollutants in each aquaculture unit.

[0050] It should be noted that the initial migration direction is the direction obtained by analyzing the changes in pollutant content between a certain aquaculture unit and its neighboring aquaculture units. Specifically, when the pollutant concentration of a certain aquaculture unit is relatively high, and the pollutant concentration in the neighboring unit area in a certain marked direction (such as north) is relatively low, the pollution migration direction can be set as the marked direction (such as north). Through the analysis of the pollutant data of each aquaculture unit, the corresponding migration direction can be evaluated. The actual migration direction is the migration direction analyzed based on the comparison of the pollutant content of the aquaculture unit in the previous cycle (the first monitoring period). Specifically, in the comparison of the two cycles, if the pollutant content of a certain aquaculture unit decreases, while it increases in the other neighboring areas, the actual migration direction of pollutants can be determined as from a certain aquaculture unit to the other neighboring areas.

[0051] According to the embodiment of the present invention, the S4 is specifically as follows: Set up a two-dimensional plane based on the range of the seawater pond. For each aquaculture unit, vectorize the simulated migration direction and the actual migration direction and calculate the direction deviation between the vectors to obtain the direction deviation value; Select and merge the aquaculture units with direction deviation values lower than the preset deviation to form the first aquaculture area; Select and merge the aquaculture units with direction deviation values higher than the preset deviation to form the second aquaculture area.

[0052] It should be noted that in one aquaculture unit, there may be multiple simulated migration directions and actual migration directions. When calculating the deviation, the two migration directions with the smallest direction deviation are respectively selected for calculation. The direction deviation value can be determined based on the included angle between two vectors and is used to judge the migration deviation rate. Both the first and second aquaculture areas include multiple aquaculture units, and the area merging is carried out based on multiple aquaculture units.

[0053] It is worth mentioning here that due to factors such as aquaculture plans, feed input, water environment fluctuations, water flow field changes, meteorological changes, and pollutant diffusion effects, the ecological environment of seawater ponds is often complex and changeable. For the migration analysis and migration changes of pollutants, it is difficult for existing technologies to accurately evaluate the migration and diffusion, lacking accurate analysis of the pollutant migration changes. The corresponding ecological regulation and pollution control decisions are often based on artificial experience, with a low degree of intelligence.

[0054] Based on this, the present invention monitors the pollutant content and water flow state of aquaculture units, sets the simulated migration direction and actual migration direction based on the historical cycle and the current cycle, and dynamically screens out the aquaculture areas with lower deviation and higher deviation through the deviation of the migration direction, that is, the first and second aquaculture areas. The first aquaculture area is the area where the migration distribution meets the expectations. Further, through the A* shortest path, the migration path is simulated and analyzed, and the migration path of pollutants is dynamically predicted. The second aquaculture area is specifically the area with certain abnormal migration states and is difficult to be predicted conventionally. Therefore, the present invention analyzes multiple predetermined scattered paths, performs fitting analysis on the pollutant content data of the aquaculture areas on the corresponding paths in the area, judges whether its fitting change conforms to linear change, screens out the path with the highest goodness of fit, and uses it as the prediction path, thereby improving the prediction accuracy in the abnormal migration area and realizing accurate and rapid migration and diffusion prediction, providing strong data support for subsequent ecological regulation.

[0055] A path with a higher goodness of fit represents that there is a certain linear change law of pollutants in the path, and the probability that the path is the actual pollution migration path is also greater.

[0056] According to the embodiment of the present invention, the S5 is specifically: In the first aquaculture area, through the pollutant content data of the second monitoring cycle, each aquaculture unit is analyzed. The area where the aquaculture unit with the highest pollutant content is located is set as the pollution origin, and the area where the aquaculture unit with the lowest pollutant content is located is set as the pollution end; Initialize the path cost for each aquaculture unit; Based on the water flow monitoring information in the second monitoring period, compare the water flow direction with the actual migration direction, and adjust the path cost of each aquaculture unit in combination with the water flow speed; Based on the A* algorithm, use the pollution origin and the pollution end point as the starting point and the end point, use the aquaculture unit as the moving node, and perform the shortest path planning in combination with the path cost, and generate a predicted path based on the third monitoring period, marked as the first predicted migration path.

[0057] It should be noted that in the first aquaculture area, through the pollutant content data in the second monitoring period, each aquaculture unit in the first aquaculture area is analyzed. In analyzing the first predicted migration path, the data in the second monitoring period (i.e., the current period) is used for analysis.

[0058] The initialized path cost of each aquaculture unit is a consistent value, that is, the path distance value. In the step of comparing the water flow direction with the actual migration direction based on the water flow monitoring information in the second monitoring period and adjusting the path cost of each aquaculture unit in combination with the water flow speed, specifically, it is judged whether the direction is consistent according to the water flow direction and the actual migration direction. If so, the path cost is reduced, and the reduction amount is proportional to the water flow speed. If not, the path cost is increased, and the increase amount is proportional to the water flow speed. Here, to judge whether the direction is consistent, it can be determined that the direction is consistent by judging whether the direction angle is within a preset low angle range, such as within 20°. The first predicted migration path is the pollution migration path planned by the A* shortest path based on the data in the second period and is used as the predicted path for the third monitoring period.

[0059] According to an embodiment of the present invention, the step S6 is specifically: In the second aquaculture area, based on the pollutant content data in the second monitoring period, mark the aquaculture unit with the largest pollutant content as the center point; Set multiple migration directions with the center point as the starting point, and set multiple pollution paths based on the multiple migration directions; Extract the corresponding pollutant content values of the aquaculture units passed by the pollution paths to form sequence data, perform linear fitting on the sequence data, and based on the goodness of fit, screen out the optimal pollution path, marked as the second predicted migration path.

[0060] It should be noted that all the multiple migration directions start from the center point. Specifically, multiple migration directions are set based on a preset angle interval, and pollution paths are formed based on the set directions. The pollution paths are straight paths and are screened later. The optimal pollution path is the path with the highest goodness of fit.

[0061] According to an embodiment of the present invention, the step S7 is specifically: Ecological assessments are respectively carried out on the first aquaculture area and the second aquaculture area through the first predicted migration path and the second predicted migration path, and an ecological environment monitoring plan is generated. Based on the pollutant prediction path for the aquaculture unit, a corresponding pollution control plan is generated.

[0062] It should be noted that the ecological environment monitoring plan includes the ecological monitoring plans for the first and second aquaculture areas. Advance planning and monitoring are carried out through the pollution prediction path, which can effectively improve the monitoring accuracy while improving the utilization rate of monitoring resources. And a corresponding pollution control plan is formulated based on the selected pollutants and applied to the aquaculture unit. The pollution control plan includes the control plans for the first and second aquaculture areas. The aquaculture unit of the pollutant prediction path is obtained through the first and second predicted migration paths.

[0063] The third aspect of the present invention also provides a computer-readable storage medium, which includes a seawater pond aquaculture ecological environment regulation program. When the seawater pond aquaculture ecological environment regulation program is executed by a processor, the steps of the seawater pond aquaculture ecological environment regulation method as described in any one of the above are realized.

[0064] The present invention discloses a method and system for regulating the ecological environment of seawater pond aquaculture. By setting the first and second monitoring periods and obtaining pollutant data and water flow information of each aquaculture unit; respectively analyzing the migration and change of pollutants based on the data of the two periods, and combining the water flow information to set the simulated and actual migration directions; merging the aquaculture units according to the deviation degree between the simulated and actual migration directions to obtain the first and second aquaculture areas; in the first aquaculture area with low deviation, based on the pollution origin and end point, the first predicted migration path is generated by simulating the shortest path through the A* algorithm; in the second aquaculture area with high deviation, taking the largest pollution unit as the center point, multiple paths are set for pollution data fitting, and the optimal path is selected based on the goodness of fit as the second predicted migration path; analyzing the pollution diffusion risk based on the two predicted migration paths, and formulating corresponding ecological monitoring and control plans.

[0065] In several embodiments provided by the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are only illustrative. For example, the division of the units is only a logical function division, and there may be other division methods in actual implementation. For example, 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 with each other can be through some interfaces, and the indirect coupling or communication connection of the devices or units can be electrical, mechanical, or other forms.

[0066] The units described above as separate components may or may not be physically separated, and 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; and some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0067] In addition, in each embodiment of the present invention, each functional unit may be all integrated in a processing unit, or each unit may be separately regarded as a unit, or two or more units may be integrated in one unit; the above-mentioned integrated units may be implemented in the form of hardware, or in the form of a combination of hardware and software functional units.

[0068] Those of ordinary skill in the art can understand that all or part of the steps of implementing the above method embodiments can be completed by hardware related to program instructions. The foregoing program can be stored in a computer-readable storage medium. When the program is executed, it performs the steps including the above method embodiments; and the foregoing storage medium includes: removable storage devices, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), magnetic disks, or optical discs and other various media that can store program codes.

[0069] Alternatively, if the above-mentioned integrated units of the present invention are implemented in the form of software functional modules and sold or used as independent products, they may also be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the embodiments of the present invention, in essence or the part that contributes 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 for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the methods described in the various embodiments of the present invention. And the foregoing storage medium includes: removable storage devices, ROM, RAM, magnetic disks, or optical discs and other various media that can store program codes.

[0070] The above is only the specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present invention can easily think of changes or substitutions, which should all be covered within the protection scope of the present invention.

Claims

1. A method for regulating the ecological environment of seawater pond aquaculture, characterized in that, Including: S1: Set the first monitoring period and the second monitoring period, and through the monitoring unit, obtain the pollutant content data of multiple aquaculture units in the seawater pond; S2: Based on the first monitoring period, analyze the pollutant migration changes of each aquaculture unit through the pollutant content data, and combine the water flow monitoring information to set the simulated migration direction; S3: Based on the second monitoring period, analyze the pollutant migration changes of each aquaculture unit through the pollutant content data to determine the actual migration direction; S4: Calculate the migration deviation of each aquaculture unit according to the simulated migration direction and the actual migration direction, merge the aquaculture units with low deviation to obtain the first aquaculture area, and merge the aquaculture units with high deviation to obtain the second aquaculture area; S5: In the first aquaculture area, determine the pollution origin and the pollution end point based on the pollutant content data, set the path cost of the aquaculture unit in combination with the water flow monitoring information, simulate the shortest path of the pollutant through the A* algorithm, and generate the first predicted migration path; S6: In the second aquaculture area, mark the aquaculture unit with the largest pollutant content as the center point, set multiple pollution paths through the center point, perform linear fitting on the pollutant content values corresponding to the pollution paths, and based on the goodness of fit, screen out the optimal pollution path and mark it as the second predicted migration path; S7: Conduct pollution diffusion analysis and evaluation on the first predicted migration path and the second predicted migration path, and set an ecological monitoring plan and a pollution control plan for the aquaculture unit.

2. The ecological environment regulation method for seawater pond culture according to claim 1, wherein The specific content of S1 is as follows: Set the first monitoring period and the second monitoring period, and the second monitoring period is the current period; Through the monitoring unit, conduct real-time monitoring of pollutants and water bodies in multiple aquaculture units in the seawater pond, and obtain the pollutant content data and water flow monitoring information corresponding to the first monitoring period and the second monitoring period.

3. The ecological environment regulation method for seawater pond culture according to claim 1, wherein The specific content of S2 is as follows: Through the pollutant content data of the first monitoring period, obtain the pollutant content value of each aquaculture unit, analyze the pollutant content changes of each aquaculture unit and its neighboring aquaculture units, and set the initial migration direction; Set the water flow direction of the aquaculture unit through the water flow monitoring information; Based on the seawater pond range, set a two-dimensional plane, convert the initial migration direction and the water flow direction into two plane vectors, and use the angular bisector direction of the included angle of the two plane vectors as the optimized migration direction; Mark the optimized migration direction as the simulated migration direction of the aquaculture unit.

4. A method for regulating the ecological environment of seawater pond aquaculture according to claim 1, characterized in that, The specific content of S3 is as follows: According to the pollutant content data of the second monitoring period, obtain the pollutant content value of each aquaculture unit, compare the pollutant content value of each aquaculture unit in the first monitoring period, analyze the changes of the pollutant content in each aquaculture unit under the two monitoring periods, and determine the actual migration direction of the pollutant in each aquaculture unit.

5. A method for regulating the ecological environment of seawater pond aquaculture according to claim 1, characterized in that, The specific content of S4 is as follows: Based on the seawater pond range, set a two-dimensional plane. For each aquaculture unit, vectorize the simulated migration direction and the actual migration direction and calculate the direction deviation between the vectors to obtain the direction deviation value; Screen and merge the aquaculture units with direction deviation values lower than the preset deviation to form the first aquaculture area; Screen and merge the aquaculture units with direction deviation values higher than the preset deviation to form a second aquaculture area.

6. The method for regulating the ecological environment of a seawater pond aquaculture according to claim 1, wherein, The S5 is specifically as follows: In the first aquaculture area, based on the pollutant content data of the second monitoring period, analyze each aquaculture unit, set the area where the aquaculture unit with the highest pollutant content is located as the pollution origin point, and set the area where the aquaculture unit with the lowest pollutant content is located as the pollution end point; Initialize the path cost of each aquaculture unit; Based on the water flow monitoring information of the second monitoring period, compare the water flow direction with the actual migration direction, and adjust the path cost of each aquaculture unit in combination with the water flow speed; Based on the A* algorithm, use the pollution origin point and the pollution end point as the starting point and the end point, use the aquaculture unit as the moving node, combine the path cost to perform the shortest path planning, and generate a predicted path based on the third monitoring period, marked as the first predicted migration path.

7. A method for regulating the ecological environment of seawater pond aquaculture according to claim 1, characterized in that The S6 is specifically as follows: In the second aquaculture area, based on the pollutant content data of the second monitoring period, mark the aquaculture unit with the largest pollutant content as the center point; Set multiple migration directions with the center point as the starting point, and set multiple pollution paths based on the multiple migration directions; Extract the pollutant content values corresponding to the aquaculture units passed by the pollution path to form sequence data, perform linear fitting on the sequence data, and based on the goodness of fit, screen out the optimal pollution path, marked as the second predicted migration path.

8. A method for regulating the ecological environment of seawater pond aquaculture according to claim 1, characterized in that, The S7 is specifically as follows: Through the first predicted migration path and the second predicted migration path, conduct ecological assessments on the first aquaculture area and the second aquaculture area respectively, generate an ecological environment monitoring plan, and generate a corresponding pollution control plan based on the pollutant prediction passing through the aquaculture unit.

9. An ecological environment regulation system for seawater pond aquaculture, characterized in that, The system includes: a memory and a processor. The memory includes an ecological environment regulation program for seawater pond aquaculture. When the ecological environment regulation program for seawater pond aquaculture is executed by the processor, the following steps are implemented: S1: Set the first monitoring period and the second monitoring period, and through the monitoring unit, obtain the pollutant content data of multiple aquaculture units in the seawater pond; S2: Based on the first monitoring period, analyze the pollutant migration changes of each aquaculture unit through the pollutant content data, and set the simulated migration direction in combination with the water flow monitoring information; S3: Based on the second monitoring period, analyze the pollutant migration changes of each aquaculture unit through the pollutant content data, and determine the actual migration direction; S4: Calculate the migration deviation of each aquaculture unit according to the simulated migration direction and the actual migration direction, merge the aquaculture units with low deviation to obtain the first aquaculture area, and merge the aquaculture units with high deviation to obtain the second aquaculture area; S5: In the first aquaculture area, determine the pollution origin point and the pollution end point based on the pollutant content data, set the path cost of the aquaculture unit in combination with the water flow monitoring information, perform the shortest path simulation on the pollutants through the A* algorithm, and generate the first predicted migration path; S6: In the second aquaculture area, mark the aquaculture unit with the largest pollutant content as the center point, set multiple pollution paths through the center point, perform linear fitting on the pollutant content values corresponding to the pollution paths, and based on the goodness of fit, screen out the optimal pollution path and mark it as the second predicted migration path; S7: Conduct pollution diffusion analysis and evaluation on the first predicted migration path and the second predicted migration path, and set an ecological monitoring plan and a pollution control plan for the aquaculture unit.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium includes a seawater pond aquaculture ecological environment regulation program, and when the seawater pond aquaculture ecological environment regulation program is executed by a processor, the steps of the seawater pond aquaculture ecological environment regulation method according to any one of claims 1 to 8 are implemented.

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