An environmental regulation method and system for improving seaweed farm remediation efficiency

Abstract

The application discloses an environment regulation method and system for improving seaweed field repair efficiency, and relates to the technical field of environment regulation, comprising: receiving a repair scheme of a seaweed field repair area, including a repair seaweed type, a repair area, and a transplanting state and a repair stop state, and the repair area is provided with an environment regulation device; based on the repair seaweed type, analyzing the relationship between water body environment and seaweed growth speed, determining the optimal environment parameters from the transplanting state to the repair stop state; extracting diffusion attribute parameters from the optimal environment parameters, performing time sequence compensation of original control parameters based on diffusion influence analysis in the repair area, and generating compensation parameters; updating the optimal environment parameters with the compensation parameters, and regulating the environment by using the environment regulation device. The application solves the technical problem of low seaweed field repair efficiency in the prior art, and achieves the technical effect of improving seaweed repair efficiency.

Description

Technical Field

[0001] This invention relates to the field of environmental control technology, and in particular to an environmental control method and system for improving the efficiency of seaweed farm restoration. Background Technology

[0002] During seaweed farm restoration, the environmental parameters of the water body are affected by various factors such as external water flow, nutrient diffusion, and climate change, making it difficult to maintain stable environmental conditions suitable for seaweed growth. Fluctuations in environmental conditions not only lead to a decrease in the survival rate of transplanted seaweed but also prolong the restoration cycle, increase restoration costs, and slow the recovery of seaweed communities within the restoration area, thus limiting the overall restoration efficiency. Summary of the Invention

[0003] This application provides an environmental control method and system for improving the efficiency of seaweed farm restoration, which addresses the technical problem of low seaweed farm restoration efficiency in the prior art.

[0004] In view of the above problems, this application provides an environmental control method and system for improving the efficiency of seaweed farm restoration.

[0005] A first aspect of this application provides an environmental control method for improving the efficiency of seaweed farm restoration, the method comprising: The system receives a restoration plan for a seaweed farm restoration area, including the type of seaweed to be restored, the restoration area, the transplanting status, and the restoration cessation status, wherein the restoration area is equipped with an environmental control device. Based on the type of seaweed to be restored, the system analyzes the relationship between the aquatic environment and the seaweed growth rate to determine the optimal environmental parameters from the transplanting status to the restoration cessation status. Diffusion attribute parameters are extracted from the optimal environmental parameters, and temporal compensation of the original control parameters based on diffusion impact analysis is performed in the restoration area to generate compensation parameters. The optimal environmental parameters are updated with the compensation parameters, and environmental control is performed using the environmental control device.

[0006] A second aspect of this application provides an environmental control system for improving the efficiency of seaweed farm remediation, the system comprising: The remediation plan receiving module receives remediation plans for the seaweed farm remediation area, including the type of seaweed to be remediated, the remediation area, the transplanting status, and the remediation cessation status, wherein the remediation area is equipped with an environmental control device; the relationship analysis module analyzes the relationship between the aquatic environment and the seaweed growth rate based on the type of seaweed to be remediated, and determines the optimal environmental parameters from the transplanting status to the remediation cessation status; the temporal compensation module extracts diffusion attribute parameters from the optimal environmental parameters, performs temporal compensation of the original control parameters based on diffusion impact analysis in the remediation area, and generates compensation parameters; the environmental control module updates the optimal environmental parameters with the compensation parameters and performs environmental control using the environmental control device.

[0007] One or more technical solutions provided in this application have at least the following technical effects or advantages: This application accepts a restoration plan for a seaweed farm restoration area, including the type of seaweed to be restored, the restoration area, the transplanting state, and the restoration cessation state, wherein the restoration area is equipped with an environmental control device; based on the type of seaweed to be restored, the relationship between the aquatic environment and the seaweed growth rate is analyzed to determine the optimal environmental parameters from the transplanting state to the restoration cessation state; diffusion attribute parameters are extracted from the optimal environmental parameters, and time-series compensation of the original control parameters based on diffusion impact analysis is performed in the restoration area to generate compensation parameters; the optimal environmental parameters are updated with the compensation parameters, and environmental control is performed using the environmental control device. This invention solves the technical problem of low seaweed farm restoration efficiency in the prior art by determining the optimal environmental parameters and combining diffusion impact compensation control, thereby achieving the technical effect of improving seaweed restoration efficiency. Attached Figure Description

[0008] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0009] Figure 1 A schematic diagram of an environmental control method for improving the efficiency of seaweed farm restoration is provided in this application embodiment; Figure 2 This is a schematic diagram of an environmental control system for improving the efficiency of seaweed farm restoration, provided as an embodiment of this application.

[0010] Figure labeling: Repair scheme receiving module 11, Relationship analysis module 12, Temporal compensation module 13, Environmental control module 14. Detailed Implementation

[0011] This application provides an environmental control method and system for improving the efficiency of seaweed farm restoration. It addresses the technical problem of low seaweed farm restoration efficiency in the prior art by determining the optimal environmental parameters and combining them with diffusion effects for compensation and control, thereby achieving the technical effect of improving seaweed restoration efficiency.

[0012] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of them. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative effort are within the scope of protection of this application.

[0013] It should be noted that any variation of the terms "comprising" and "having" is intended to cover non-exclusive inclusion, for example, a process, method, system, product, or server that includes a series of steps or units is not necessarily limited to those steps or units that are explicitly listed, but may include other steps or modules that are not explicitly listed or that are inherent to such processes, methods, products, or devices.

[0014] Example 1, as Figure 1 As shown, this application provides an environmental control method for improving the efficiency of seaweed farm remediation, the method comprising: Step S100: Receive the restoration plan for the seaweed farm restoration area, including the type of seaweed to be restored, the restoration area and the transplantation status, and the restoration stop status, and the restoration area is equipped with an environmental control device.

[0015] In this embodiment, a pre-defined restoration plan for the seaweed farm restoration area is first received. This restoration plan includes the type of seaweed to be restored, the restoration area, the transplantation status, and the restoration cessation status. The type of seaweed to be restored refers to the seaweed species selected during the restoration process. The restoration area is the designated water area for seaweed transplantation and restoration. The transplantation status describes the initial growth state of the seaweed after transplantation. The restoration cessation status indicates that the restoration process officially ends when the seaweed achieves the predetermined restoration effect.

[0016] Meanwhile, the restoration area is equipped with an environmental control device to monitor and adjust environmental conditions in real time, ensuring optimal growth for the seaweed. Specifically, the device regulates key parameters such as water temperature, light intensity, and dissolved oxygen levels to meet the growth requirements of the selected seaweed species.

[0017] Furthermore, the method provided in the application embodiments also includes: The restoration area is also equipped with an isolation net and a filtration system; wherein, the isolation net is used to isolate the restoration area from the surrounding water, and the filtration system is installed on the isolation net to filter diffused nutrients.

[0018] In this embodiment, the remediation area is further equipped with an isolation net and a filtration system. The isolation net, in the form of a floating net or fence, isolates the remediation area from the surrounding water area. The isolation net is used to prevent interference with the surrounding water area during remediation activities, especially when transplanting seaweed seedlings or applying fertilizer, controlling water flow and sediment diffusion to reduce impact on external water bodies. For example, during fertilization, fertilizer may diffuse beyond the remediation area via water flow; the isolation net curbs this diffusion, ensuring more stable environmental conditions within the remediation area, thereby improving seaweed remediation efficiency.

[0019] However, even if the isolation nets can limit the spread of water flow and sediment, fertilizers and nutrients can still diffuse or accumulate within the remediation area, negatively impacting the water body. Therefore, filtration systems are installed within the isolation nets specifically to filter and treat diffused nutrients. These filtration systems absorb and remove excess nutrients through methods such as biological filters, preventing their accumulation in the water body and thus reducing eutrophication.

[0020] Step S200: Based on the type of seaweed to be repaired, analyze the relationship between the aquatic environment and the seaweed growth rate, and determine the optimal environmental parameters from the transplanting state to the repair cessation state.

[0021] In this embodiment of the application, when analyzing the relationship between the aquatic environment and the growth rate of algae based on the type of algae to be restored, the type of algae to be restored, the transplanting status, and the restoration cessation status are first used as search elements to collect relevant historical growth rate data and historical environmental data. These data are then analyzed, and consistent clustering is performed based on growth rate to select target environmental data clusters related to the fastest growth rate.

[0022] Next, historical growth environment data was analyzed to identify various environmental types. Ecological stability analysis was conducted on each environmental type using artificially regulated parameters, generating multiple ecological stability impact curves. Finally, based on these ecological stability impact curves, the environmental parameters with the least impact on ecological stability were selected from the target environmental data clusters, thus determining the optimal environmental parameters.

[0023] Furthermore, the method provided in the application embodiment, which analyzes the relationship between the aquatic environment and the algae growth rate based on the type of algae to be restored, and determines the optimal environmental parameters from the transplanting state to the restoration cessation state, further includes: Using the type of algae to be restored, the transplantation status, and the restoration cessation status as search elements, historical growth rate data and historical growth environment data are collected. Based on the historical growth rate data, consistent clustering based on growth rate is performed on the historical growth environment data to select the target environment data cluster with the fastest growth rate. The historical growth environment data is analyzed to identify multiple environment types. Ecological stability impact analysis is performed on the multiple environment types under artificial parameter control, generating multiple ecological stability impact curves. Based on the multiple ecological stability impact curves, the set of environmental parameters with the least ecological stability impact in the target environment data cluster is selected to generate the optimal environmental parameters.

[0024] In this embodiment, the search elements are first the type of seaweed to be repaired, the transplanting status, and the state of repair cessation. A database query tool, such as SQL, is used to search the historical database for historical growth rate data and historical growth environment data that match the search elements. The historical growth rate data includes the growth rate of seaweed under different environmental conditions. The historical growth environment data includes environmental parameters related to seaweed growth, such as water temperature, light intensity, dissolved oxygen, nutrient concentration, and salinity.

[0025] Next, consistent clustering based on growth rate is performed on the historical growth environment data. In this process, clustering methods such as K-means are used to categorize the historical growth rate data with their corresponding environmental data. Each data category represents the similarity of algal growth rates under similar environmental conditions. For example, if algae grow fastest under certain specific water temperature and light conditions, cluster analysis is used to group the environmental data under these conditions into a single cluster, ultimately selecting the cluster representing the target environmental data with the fastest growth rate.

[0026] Then, based on historical growth environment data, environmental types were analyzed. In this process, by analyzing the impact of different environmental factors (such as water temperature, light intensity, and nutrient concentration) on seaweed growth, multiple environmental types were identified. For example, some environmental types represent high temperature, high light intensity, and nutrient-rich environments, while others may represent low temperature, low light intensity, and nutrient-poor environments. Through the analysis of historical growth environment data, multiple environmental types representing different growth patterns were obtained.

[0027] Next, an analysis of the ecological stability impacts under artificial parameter control was conducted on multiple environmental types. This process began by collecting a dataset of historical ecological and environmental anomaly records. Each anomaly record in this dataset was then analyzed to identify the anomalous ecological and environmental factors. Subsequently, based on the anomalous ecological and environmental factors of each record, multiple ecological stability impact curves were generated by statistically analyzing the changing relationships between multiple environmental types and ecological and environmental anomalies.

[0028] Finally, based on multiple ecological stability impact curves, the set of environmental parameters with the least ecological stability impact is selected from the target environmental data clusters. This process involves first extracting any set of environmental parameters from the target environmental data clusters, and then calculating the degree of ecological stability impact for each type of environmental parameter in this set based on the ecological stability impact curves. Subsequently, the impact degrees of each type of parameter are summed to obtain a comprehensive ecological stability impact index. By comparing the comprehensive ecological stability impact indices corresponding to different environmental parameters, the set of environmental parameters with the least ecological stability impact is selected as the final optimal environmental parameters.

[0029] Furthermore, the method provided in the application embodiments, which performs ecological stability impact analysis on the multiple environmental types under artificial parameter control and generates multiple ecological stability impact curves, also includes: Collect a dataset of historical ecological and environmental anomaly records; analyze the ecological and environmental anomaly factors of each anomaly record in the dataset; statistically analyze the relationship between multiple environmental types and ecological and environmental anomalies based on the ecological and environmental anomaly factors of each anomaly record, and generate the multiple ecological stability impact curves.

[0030] In this embodiment of the application, a dataset of historical ecological and environmental anomaly records is first collected from a historical database using an SQL query method. This dataset includes information such as the time and location of the anomaly, water temperature, light intensity, dissolved oxygen concentration, nutrient concentration, and algae density.

[0031] Next, a threshold-based method is used to analyze the ecological and environmental anomaly factors of each record in the historical ecological and environmental anomaly record dataset. This involves comparing various environmental parameters with pre-set threshold standards. When an environmental parameter exceeds or falls below a threshold, that parameter is determined to be a contributing ecological and environmental anomaly factor. For example, if the water temperature is higher than a set threshold, it is determined to be a high-temperature anomaly; if the dissolved oxygen concentration is lower than a threshold, it is determined to be a hypoxic anomaly. This process identifies the corresponding ecological and environmental anomaly factors for each record.

[0032] Finally, multiple regression analysis was used to statistically model and analyze the ecological and environmental anomalies identified in the historical ecological and environmental anomaly record dataset, establishing regression models between multiple environmental types and these anomalies. The regression models used environmental type parameters as independent variables and the frequency or probability of anomalies as dependent variables to fit the functional relationship between the two, which was then expressed as a curve. For example, under a light intensity of 200 μmol·m⁻²·s⁻¹, the regression results showed that the frequency of hypoxia anomalies increased from 10% to 40% as the temperature rose from 20℃ to 30℃, thus generating an ecological stability impact curve with temperature on the x-axis and the frequency of hypoxia anomalies on the y-axis. By fitting the relationships between parameters of different environmental types and different anomalies, multiple ecological stability impact curves were ultimately generated.

[0033] Furthermore, in the method provided in the application embodiments, the process of selecting a set of environmental parameters with the least ecological stability impact from the multiple ecological stability impact curves within the target environmental data cluster, and generating the optimal environmental parameters, further includes: Extract any set of environmental parameters from the target environmental data cluster; calculate the degree of ecological stability impact of each type of environmental parameter in the set of environmental parameters based on the multiple ecological stability impact curves, and then sum them to generate any comprehensive ecological stability impact index; select the set of environmental parameters with the least ecological stability impact based on the any comprehensive ecological stability impact index to generate the optimal environmental parameters.

[0034] In this embodiment of the application, an arbitrary set of environmental parameters is first extracted from the target environmental data cluster. This set of environmental parameters includes multiple values ​​such as water temperature, light intensity, dissolved oxygen concentration, nutrient concentration, and algae density.

[0035] Next, based on the generated ecological stability impact curves, the degree of ecological stability impact of each type of environmental parameter in this set of environmental parameters is calculated. This is achieved by finding the corresponding ordinate value of the parameter on the relevant ecological stability impact curve to obtain the degree of its impact on ecosystem stability. For example, on the water temperature impact curve, the frequency of hypoxia anomalies corresponding to 25℃ is 12%. On the light intensity impact curve, the probability of algal bloom anomalies corresponding to 180 μmol·m⁻²·s⁻¹ is 15%. On the nutrient concentration impact curve, the risk of algal overgrowth corresponding to 0.4 mg / L is 20%. Subsequently, the ecological stability impact degrees of each dimension of this set of environmental parameters are summed to generate a comprehensive ecological stability impact index.

[0036] Finally, among all parameter combinations in the target environmental data cluster, by comparing the comprehensive ecological stability impact index generated by different combinations, the set of environmental parameters with the smallest ecological stability impact is selected and defined as the optimal environmental parameters.

[0037] Step S300: Extract diffusion attribute parameters from the optimal environmental parameters, perform temporal compensation of the original control parameters based on diffusion impact analysis in the repair area, and generate compensation parameters.

[0038] In this embodiment, diffusion attribute parameters are first extracted from the optimal environmental parameters, and then temporal compensation of the original control parameters based on diffusion impact analysis is performed in the remediation area. In this process, a preset diffusion attribute parameter type library is first used to identify the optimal environmental parameters and extract the diffusion attribute parameters. Then, the location of environmental regulation effects is identified within the remediation area in conjunction with the seaweed transplantation location, and the effect area is constructed. Next, diffusion simulation under controlled conditions is performed on the diffusion attribute parameters to obtain the parameter decay trend of environmental parameter attenuation due to diffusion within the effect area, and the decay value at each time point is determined. Finally, these decay values ​​are used as compensation values ​​to generate corresponding compensation parameters.

[0039] Furthermore, in the method provided in the application embodiment, the diffusion attribute parameters are extracted from the optimal environmental parameters, and the original control parameters based on diffusion impact analysis are temporally compensated in the remediation area to generate compensation parameters. The method further includes: The optimal environmental parameters are identified by calling a preset diffusion attribute parameter type library, and the diffusion attribute parameters are extracted. The location of the environmental regulation effect of the diffusion attribute parameters in the remediation area is identified according to the seaweed transplantation location, and the effect area is constructed. The diffusion simulation after control is performed on the diffusion attribute parameters to construct the parameter decay trend of environmental parameter decay caused by diffusion in the effect area, including the decay value at each time node. The compensation parameter is generated using the decay value at each time node as the compensation value.

[0040] In this embodiment, a preset diffusion attribute parameter type library is first used to identify the optimal environmental parameters. This library consists of multi-dimensional diffusion feature entries, covering molecular diffusion coefficients of nutrients such as nitrogen and phosphorus, and correction parameters for the effect of water flow velocity on substance diffusion. By matching and comparing the optimal environmental parameters with the type library, diffusion attribute parameters directly related to the diffusion process of substances in the water are identified and extracted, such as the diffusion coefficient of nitrogen nutrients (1.8 × 10⁻). 9 The diffusion coefficient of phosphate at m² / s is 0.9 × 10⁻ 9 m² / s.

[0041] Subsequently, by connecting to an environmental action location database within the remediation area, the specific environmental regulatory locations where diffusion attribute parameters (such as nitrogen and phosphorus nutrients) spatially affect algal growth were identified. This environmental action location database was artificially constructed and stored by experts based on long-term monitoring and research. Then, combined with the determined algal transplantation locations, the diffusion locations were spatially overlaid and compared to ultimately determine the areas within the region covered by the diffusion of nutrients and other substances that influence algal growth.

[0042] After obtaining the affected area, a controlled diffusion simulation was performed on the extracted diffusion attribute parameters. This diffusion simulation employed a numerical simulation method combining the finite difference method and computational fluid dynamics to dynamically model the concentration change process of nitrogen and phosphorus nutrients in water under the combined effects of molecular diffusion and fluid flow. In the simulation calculation, the affected area was divided into three-dimensional mesh cells, initial boundary conditions and control parameters were set, and the evolution of substance concentration over time was simulated to obtain the parameter decay trend of environmental parameters gradually weakening due to diffusion, with the decay value corresponding to each time node identified. For example, in the simulation, the concentration of nitrogen nutrients decreased by 12% within 24 hours and by 20% within 48 hours around the transplanting point.

[0043] Finally, the attenuation value at each of the aforementioned time points is used as the compensation value to generate compensation parameters for the repair process. During the generation of compensation parameters, the diffusion simulation results are combined with the original control parameters to dynamically adjust the environmental parameter inputs at each time point. For example, when the simulation results show a 20% decrease in nitrogen concentration within 48 hours, this 20% concentration attenuation is automatically converted into a corresponding proportional compensation input, thereby generating the corresponding compensation parameters.

[0044] Furthermore, in the method provided in the application embodiments, the identification of the environmental regulation location of the diffusion attribute parameters based on the seaweed transplantation location in the remediation area, and the construction of the action area, further includes: Connect to the environmental impact location database to identify the impact location of the diffusion attribute parameters on seaweed growth; determine the impact area based on the impact location and the seaweed transplanting location.

[0045] In this embodiment of the application, the input diffusion attribute parameters are first compared and identified by connecting to the environmental action location database and calling the entries stored therein, so as to determine the action location of the attribute corresponding to the diffusion attribute parameter on the growth of seaweed.

[0046] The identified effective location is then compared with the actual seaweed transplantation location. The intersection of the two is determined by location correspondence methods, such as coordinate superposition or range overlap, and the actual effective area is constructed.

[0047] Step S400: Update the optimal environmental parameters with the compensation parameters, and perform environmental regulation using the environmental regulation device.

[0048] In this embodiment, the compensation parameters and optimal environmental parameters are first updated to generate new optimal environmental parameters. The updated optimal environmental parameters are then input to the environmental control device, which performs environmental control operations according to these parameters, thereby achieving precise control of environmental factors such as water temperature, light intensity, dissolved oxygen concentration, and nutrient concentration in the remediation area.

[0049] Furthermore, in the method provided in the application embodiments, updating the optimal environmental parameters with the compensation parameters and performing environmental regulation using the environmental regulation device further includes: After environmental regulation, the real-time restoration status of seaweed in the restoration area is monitored. When the real-time restoration status of seaweed reaches the restoration cessation state, a step-by-step environmental restoration control is carried out starting from the updated optimal environmental parameters.

[0050] In this embodiment of the application, when using an environmental control device for environmental control, the algae restoration status is monitored in real time by monitoring devices deployed in the restoration area. The monitoring devices include a temperature sensor, a light sensor, a dissolved oxygen detector, a nutrient salt detector, and an underwater camera. These devices are used to continuously collect parameters such as water temperature, light intensity, dissolved oxygen concentration, nitrogen and phosphorus nutrient salt concentration, and algae coverage.

[0051] The real-time monitored data is then compared with preset standards for stopping the restoration process. For example, when the algae coverage reaches the set target value and the dissolved oxygen and nutrient concentrations in the water remain stable within preset ranges, the restoration target is considered to have been achieved, and the restoration process is considered to have stopped.

[0052] Once the seaweed reaches the point of cessation of regeneration, a phased environmental restoration control process is initiated, starting with updated optimal environmental parameters. This process involves gradually reducing the intensity of regulation to ensure that environmental conditions gradually return to a natural state. For example, light intensity is first reduced from 100% to 70%, then 50%, and finally supplemental lighting is removed. Nutrient supplementation is also gradually reduced, decreasing by 10% to 20% each time, until finally ceasing. This gradual reduction avoids drastic fluctuations caused by sudden environmental changes, allowing the seaweed to adapt to its natural environment and maintain stable growth, ensuring the regenerated area transitions to an ecologically balanced state.

[0053] Furthermore, the method provided in the application embodiments, which performs stepped environmental restoration control, further includes: Obtain other algae types within the repair area besides the type being repaired; analyze the impact of the optimal environmental parameters on the spread of the other algae types by statistically analyzing the historical growth records of the other algae types; if the spread impact is greater than a preset threshold, issue a growth inhibition reminder message for the other algae types.

[0054] In this embodiment of the application, the system first receives algae type information uploaded by technical experts to determine other algae types within the restoration area besides the type to be restored. The algae type information is manually uploaded by the technical experts based on the actual conditions of the restoration area.

[0055] Next, based on other algae types, historical growth records of these other algae types under optimal environmental parameters were collected from the historical database. These historical growth records include the growth status of different algae types under optimal environmental parameters. This growth status represents the growth rate of other algae types under optimal environmental parameters. The growth rate from the historical growth records was extracted as the degree of influence of optimal environmental parameters on the spread of other algae types.

[0056] The extent of the spread is then compared with a preset threshold. If the extent of the spread, i.e., the growth rate, is greater than the preset threshold, it is determined that the growth of this algae will affect the ecosystem of the restoration area. At this time, a reminder message for inhibiting the growth of other algae types is issued, i.e., sent via SMS or email, to remind relevant personnel to deal with other types of algae.

[0057] In summary, the embodiments of this application have at least the following technical effects: This application accepts a restoration plan for a seaweed farm restoration area, including the type of seaweed to be restored, the restoration area, the transplanting state, and the restoration cessation state, wherein the restoration area is equipped with an environmental control device; based on the type of seaweed to be restored, the relationship between the aquatic environment and the seaweed growth rate is analyzed to determine the optimal environmental parameters from the transplanting state to the restoration cessation state; diffusion attribute parameters are extracted from the optimal environmental parameters, and time-series compensation of the original control parameters based on diffusion impact analysis is performed in the restoration area to generate compensation parameters; the optimal environmental parameters are updated with the compensation parameters, and environmental control is performed using the environmental control device. This invention solves the technical problem of low seaweed farm restoration efficiency in the prior art by determining the optimal environmental parameters and combining diffusion impact compensation control, thereby achieving the technical effect of improving seaweed restoration efficiency.

[0058] Example 2, based on the same inventive concept as the environmental control method for improving the efficiency of seaweed farm restoration in the foregoing examples, such as... Figure 2As shown, this application provides an environmental control system for improving the efficiency of seaweed farm remediation. The system and method embodiments in this application are based on the same inventive concept. The system includes: The remediation plan receiving module 11 is used to receive the remediation plan for the seaweed farm remediation area, including the type of seaweed to be remediated, the remediation area, the transplanting status, and the remediation cessation status, wherein the remediation area is equipped with an environmental control device; the relationship analysis module 12 is used to analyze the relationship between the water environment and the seaweed growth rate based on the type of seaweed to be remediated, and determine the optimal environmental parameters from the transplanting status to the remediation cessation status; the temporal compensation module 13 is used to extract diffusion attribute parameters from the optimal environmental parameters, perform temporal compensation of the original control parameters based on diffusion impact analysis in the remediation area, and generate compensation parameters; the environmental control module 14 is used to update the optimal environmental parameters with the compensation parameters and perform environmental control using the environmental control device.

[0059] Furthermore, the system is also used to implement the following functions: The restoration area is also equipped with an isolation net and a filtration system; wherein, the isolation net is used to isolate the restoration area from the surrounding water, and the filtration system is installed on the isolation net to filter diffused nutrients.

[0060] Furthermore, the system is also used to implement the following functions: Using the type of algae to be restored, the transplantation status, and the restoration cessation status as search elements, historical growth rate data and historical growth environment data are collected. Based on the historical growth rate data, consistent clustering based on growth rate is performed on the historical growth environment data to select the target environment data cluster with the fastest growth rate. The historical growth environment data is analyzed to identify multiple environment types. Ecological stability impact analysis is performed on the multiple environment types under artificial parameter control, generating multiple ecological stability impact curves. Based on the multiple ecological stability impact curves, the set of environmental parameters with the least ecological stability impact in the target environment data cluster is selected to generate the optimal environmental parameters.

[0061] Furthermore, the system is also used to implement the following functions: Collect a dataset of historical ecological and environmental anomaly records; analyze the ecological and environmental anomaly factors of each anomaly record in the dataset; statistically analyze the relationship between multiple environmental types and ecological and environmental anomalies based on the ecological and environmental anomaly factors of each anomaly record, and generate the multiple ecological stability impact curves.

[0062] Furthermore, the system is also used to implement the following functions: Extract any set of environmental parameters from the target environmental data cluster; calculate the degree of ecological stability impact of each type of environmental parameter in the set of environmental parameters based on the multiple ecological stability impact curves, and then sum them to generate any comprehensive ecological stability impact index; select the set of environmental parameters with the least ecological stability impact based on the any comprehensive ecological stability impact index to generate the optimal environmental parameters.

[0063] Furthermore, the system is also used to implement the following functions: The optimal environmental parameters are identified by calling a preset diffusion attribute parameter type library, and the diffusion attribute parameters are extracted. The location of the environmental regulation effect of the diffusion attribute parameters in the remediation area is identified according to the seaweed transplantation location, and the effect area is constructed. The diffusion simulation after control is performed on the diffusion attribute parameters to construct the parameter decay trend of environmental parameter decay caused by diffusion in the effect area, including the decay value at each time node. The compensation parameter is generated using the decay value at each time node as the compensation value.

[0064] Furthermore, the system is also used to implement the following functions: Connect to the environmental impact location database to identify the impact location of the diffusion attribute parameters on seaweed growth; determine the impact area based on the impact location and the seaweed transplanting location.

[0065] Furthermore, the system is also used to implement the following functions: After environmental regulation, the real-time restoration status of seaweed in the restoration area is monitored. When the real-time restoration status of seaweed reaches the restoration cessation state, a step-by-step environmental restoration control is carried out starting from the updated optimal environmental parameters.

[0066] Furthermore, the system is also used to implement the following functions: Obtain other algae types within the repair area besides the type being repaired; analyze the impact of the optimal environmental parameters on the spread of the other algae types by statistically analyzing the historical growth records of the other algae types; if the spread impact is greater than a preset threshold, issue a growth inhibition reminder message for the other algae types.

[0067] It should be noted that the order of the embodiments described above is merely for descriptive purposes and does not represent the superiority or inferiority of the embodiments. Furthermore, the above description focuses on specific embodiments of this specification. The processes depicted in the accompanying drawings do not necessarily require a specific or sequential order to achieve the desired results. In some implementations, multitasking and parallel processing are possible or may be advantageous.

[0068] The above description is only a preferred embodiment of this application and is not intended to limit this application. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the protection scope of this application.

[0069] This specification and accompanying drawings are merely illustrative examples of this application and are intended to cover any and all modifications, variations, combinations, or equivalents within the scope of this application. Clearly, those skilled in the art can make various alterations and modifications to this application without departing from its scope. Therefore, if such modifications and modifications fall within the scope of this application and its equivalents, this application intends to include such modifications and modifications.

Claims

1. An environmental control method for improving the efficiency of seaweed farm restoration, characterized in that, include: The system receives a restoration plan for the seaweed farm restoration area, including the type of seaweed to be restored, the restoration area and the transplantation status, as well as the restoration cessation status, and the restoration area is equipped with an environmental control device; Based on the type of seaweed to be restored, the relationship between the aquatic environment and the growth rate of the seaweed was analyzed to determine the optimal environmental parameters from the transplanting state to the restoration cessation state. Diffusion attribute parameters are extracted from the optimal environmental parameters, and temporal compensation of the original control parameters based on diffusion impact analysis is performed in the remediation area to generate compensation parameters. The optimal environmental parameters are updated using the compensation parameters, and environmental regulation is performed using the environmental regulation device. Based on the type of seaweed to be restored, an analysis of the relationship between the aquatic environment and the seaweed growth rate was conducted to determine the optimal environmental parameters from the transplanting state to the restoration cessation state, including: Using the type of seaweed to be repaired, the transplantation status, and the repair cessation status as search elements, historical growth rate data and historical growth environment data are collected. Based on the historical growth rate data, perform consistent clustering on the historical growth environment data according to the growth rate, and select the target environment data cluster with the fastest growth rate; Analysis of the historical growth environment data identified multiple environment types; An ecological stability impact analysis was performed on the multiple environmental types under artificial parameter control, generating multiple ecological stability impact curves. Based on the multiple ecological stability impact curves, the set of environmental parameters with the least ecological stability impact is selected from the target environmental data cluster to generate the optimal environmental parameters; Ecological stability impact analysis was performed on the aforementioned multiple environmental types under artificial parameter control, generating multiple ecological stability impact curves, including: Collect a dataset of historical records of ecological and environmental anomalies; The abnormal ecological and environmental factors of each abnormal record are analyzed in the historical ecological and environmental anomaly record dataset. Based on the statistical analysis of ecological and environmental anomaly factors for each anomaly record, the relationship between multiple environmental types and ecological and environmental anomalies is analyzed to generate the multiple ecological stability impact curves. Based on the multiple ecological stability impact curves, a set of environmental parameters with the least ecological stability impact is selected from the target environmental data clusters to generate the optimal environmental parameters, including: Extract any set of environmental parameters from the target environment data cluster; Based on the multiple ecological stability impact curves, the degree of ecological stability impact of each type of environmental parameter in any set of environmental parameters is calculated and then summed to generate any comprehensive ecological stability impact index. Based on any of the comprehensive ecological stability impact indicators, select the set of environmental parameters with the least impact on ecological stability to generate the optimal environmental parameters.

2. The environmental control method for improving the efficiency of seaweed farm restoration as described in claim 1, characterized in that, The repair area is also equipped with an isolation net and a filtration system; The isolation net is used to isolate the restoration area from the surrounding water, and the filtration system is installed on the isolation net to filter diffused nutrients.

3. The environmental control method for improving the efficiency of seaweed farm restoration as described in claim 1, characterized in that, Diffusion attribute parameters are extracted from the optimal environmental parameters, and time-series compensation of the original control parameters based on diffusion impact analysis is performed in the remediation area to generate compensation parameters, including: The optimal environmental parameters are identified by calling a preset diffusion attribute parameter type library, and the diffusion attribute parameters are extracted. In the repair area, the location of the environmental regulation effect of the diffusion attribute parameters is identified based on the seaweed transplantation location, and the effective area is constructed. The diffusion simulation after controlling the diffusion attribute parameters constructs the parameter decay trend of environmental parameter decay caused by diffusion in the action area, including the decay value at each time node. The compensation parameters are generated using the attenuation value at each time point as the compensation value.

4. The environmental control method for improving the efficiency of seaweed farm restoration as described in claim 3, characterized in that, In the remediation area, the environmental regulation location of the diffusion attribute parameters is identified based on the seaweed transplantation location, and the effective area is constructed, including: Connect to the environmental impact location database to identify the location where the diffusion attribute parameters affect algae growth; The area of ​​action is determined based on the location of the action and the location of seaweed transplantation.

5. The environmental control method for improving the efficiency of seaweed farm restoration as described in claim 1, characterized in that, The optimal environmental parameters are updated using the compensation parameters, and environmental control is performed using the environmental control device, further comprising: After environmental control measures are implemented, the real-time restoration status of seaweed in the restoration area is monitored. When the real-time repair status of the seaweed reaches the repair stop status, a step-by-step environmental recovery control is carried out, starting from the updated optimal environmental parameters.

6. The environmental control method for improving the efficiency of seaweed farm restoration as described in claim 5, characterized in that, Implement tiered environmental restoration control, including: Obtain other algae types within the repair area besides the type of algae to be repaired; By statistically analyzing the historical growth records of other seaweed types, the extent to which the optimal environmental parameters affect the spread of these other seaweed types was determined. If the spread of the disease exceeds a preset threshold, a warning message will be issued to inhibit the growth of other types of seaweed.

7. An environmental control system for improving the efficiency of seaweed farm restoration, characterized in that, The system is used to execute an environmental control method for improving the efficiency of seaweed farm restoration as described in any one of claims 1-6, the system comprising: The restoration plan receiving module is used to receive restoration plans for the seaweed farm restoration area, including the type of seaweed to be restored, the restoration area and the transplantation status, as well as the restoration stop status, and the restoration area is equipped with an environmental control device; The relationship analysis module is used to analyze the relationship between the aquatic environment and the growth rate of the algae based on the type of algae to be restored, and to determine the optimal environmental parameters from the transplanting state to the restoration cessation state. The temporal compensation module is used to extract diffusion attribute parameters from the optimal environmental parameters, perform temporal compensation of the original control parameters based on diffusion impact analysis in the repair area, and generate compensation parameters. An environmental control module is used to update the optimal environmental parameters with the compensation parameters and to perform environmental control using the environmental control device.

Images