Ecological breeding method based on water ecological restoration system

Abstract

The invention relates to the technical field of ecological breeding, in particular to an ecological breeding method based on a water ecological restoration system, which comprises the following steps: evaluating the water quality of a water area subjected to chemical restoration, evaluating the water pollution degree of the water area, and determining the water ecological restoration system according to the evaluation result of the water pollution degree of the water area. Calculating the maximum putting density of the target aquatic plants corresponding to the water area and the maximum putting quantity of the target microorganisms; finally determining the optimal putting proportion of the target aquatic plants and the target microorganisms in the water area; after the water area is put according to the optimal putting proportion of the target aquatic plants and the target microorganisms, a monitoring period is set, the water quality of the water area in the monitoring period is monitored, and the target aquatic plants and the target microorganisms are monitored according to the water quality monitoring result of the water area in the monitoring period. Adjusting the planting density of the target aquatic plants corresponding to the water area in the next monitoring period and the feeding quantity of the target microorganisms; the ecological balance of the water area can be recovered, the self-cleaning capacity of the water body can be improved, and a guarantee is provided for regional ecological safety.

Description

Technical Field

[0001] The invention belongs to the technical field of ecological breeding and relates to an ecological breeding method based on a water ecological restoration system. Background Art

[0002] Water pollution is a global environmental problem, especially eutrophication, excessive heavy metals and organic pollution, which seriously threaten the health of aquatic ecosystems. Chemical remediation technology is one of the commonly used methods for water remediation. It mainly decomposes or precipitates harmful substances in the water by adding chemical agents. However, chemical remediation often has the following problems: First, the effect of chemical agents is limited and cannot completely remove pollutants in the water; second, it may cause secondary pollution and have a negative impact on aquatic ecosystems; third, the remediation effect is unstable and it is difficult to maintain water quality standards for a long time.

[0003] Therefore, for waters where chemical restoration is not effective, an ecological restoration method that can continuously and effectively improve water quality is urgently needed. Target aquatic plants and target microorganisms have natural advantages in water purification. Target aquatic plants reduce the degree of eutrophication of water bodies by absorbing nutrients (such as nitrogen and phosphorus) in the water, and target microorganisms further purify water quality by decomposing organic matter and pollutants. However, in the existing technology, how to reasonably configure the ratio of target aquatic plants and target microorganisms to maximize their synergistic effect is still a technical problem. Summary of the invention

[0004] In view of the above problems existing in the prior art, the present invention provides an ecological breeding method based on a water ecological restoration system, which is mainly used for waters where the chemical restoration effect is unsatisfactory. By rationally configuring the ratio of target aquatic plants and target microorganisms, the water quality restoration efficiency is optimized, the use of chemical agents is reduced, and the sustainability and long-term stability of water ecological restoration are improved, thereby solving the above-mentioned technical problems.

[0005] In order to achieve the above purpose and other purposes, the technical solution adopted by the present invention is as follows: On the one hand, the present invention provides an ecological farming method based on a water ecological restoration system, the method comprising the following steps: Step 1: Conduct water quality assessment on the water area after chemical repair to determine the degree of water pollution in the water area. If the assessment is qualified, the method loop is jumped out and no operation is performed; otherwise, step 2 is executed; Step 2: Calculate the maximum density of target aquatic plants and the maximum number of target microorganisms in the water area according to the assessment results of the water pollution level of the water area; and finally determine the optimal ratio of target aquatic plants and target microorganisms in the water area; Step 3. After the target aquatic plants and target microorganisms are released into the water area according to the optimal release ratio, a monitoring period is established to monitor the water quality of the water area during the monitoring period. Based on the water quality monitoring results of the water area during the monitoring period, the planting density of the corresponding target aquatic plants and the release quantity of the target microorganisms in the water area in the next monitoring period are adjusted.

[0006] Exemplarily, the specific operation process of step one is: The water bodies of the water area to be repaired are sampled and tested, and the chemical oxygen demand (COD) and biochemical oxygen demand (BOD) of the water bodies corresponding to the water area to be repaired are obtained; thus, the degree of organic pollution of the water bodies corresponding to the water area to be repaired is obtained. , where COD' and BOD' are the standard chemical oxygen demand limit and standard biochemical oxygen demand limit respectively; Sampling the water in the water area to be repaired to obtain the measured concentration of each pollutant in the water area to be repaired , i is the number of each pollutant, i=1,2,...N, N is the total number of pollutants; thus comprehensively assessing the degree of other pollution in the corresponding water body of the water area to be repaired , is the weight coefficient of the i-th pollutant, reflecting the relative impact of each pollutant on the water body. is the standard limit value of the i-th pollutant; This determines the degree of water pollution in the water body , are the correction factors for the set organic pollution in water and other pollution in water, respectively, and ; The water pollution degree of the water area is compared with the set chemical remediation water pollution degree threshold. If the water pollution degree of the water area is greater than the set chemical remediation water pollution degree threshold, the water pollution degree of the water area is judged to be unqualified; otherwise, the water pollution degree of the water area is judged to be qualified.

[0007] Exemplarily, the maximum density of target aquatic plants and the maximum number of target microorganisms in the water area are calculated. The specific operation logic is as follows: By calculating the formula , calculate the maximum density of target aquatic plants in the water area , V is the volume of water in the water area, A is the area of ​​the water area, are the measured concentrations of the corresponding nitrogen and phosphorus in the water area; are the absorption efficiencies of nitrogen and phosphorus of the target aquatic plants, All are set synergy effect correction factors; By calculating the formula , calculate the maximum number of target microorganisms corresponding to the water area , is the set synergy effect correction factor; is the decomposition efficiency of organic matter by the target microorganisms.

[0008] For example, The specific logic is: Using simulation software, the organic matter removal efficiency of the water area using only the target aquatic plants, only the target microorganisms, and the combination of the two was simulated; Using a multiple linear regression model: , E is the overall organic matter removal efficiency, P1, P2 and P3 are the organic matter removal efficiencies of using the target aquatic plants alone, the target microorganisms alone, and the combination of the two, respectively. are the regression coefficients to be determined; Use statistical software to perform regression analysis and determine the value of the regression coefficient. , , , ; The value of the synergy correction coefficient is solved as follows: ; ; .

[0009] Exemplarily, the optimal ratio of target aquatic plants and target microorganisms in a water area is determined, and the specific determination process includes the following steps: Define the objective function G to maximize the efficiency of water quality restoration in the water area: ,in, are the set weight coefficients, RN, RP and RF are the removal rates of nitrogen, phosphorus and organic matter respectively; ; ; ; in are the set experimental fitting coefficients, RN0, RP0 and RF0 are the measured concentrations of nitrogen, phosphorus and organic matter in the water area, respectively; According to the constraints: , ; Simultaneously use the gradient descent algorithm to maximize the objective function G, thereby solving the value of the density of the target aquatic plants corresponding to the water area in the maximized objective function G. and the number of target microorganisms released ; by As the numerator of the fraction, Make the denominator of the fraction and solve it to get the optimal release ratio of target aquatic plants and target microorganisms in the water area.

[0010] Exemplarily, the planting density of target aquatic plants and the quantity of target microorganisms released in the water area in the next monitoring period are adjusted, and the specific adjustment process is as follows: Get the current monitoring values ​​of each water quality index in the water area during the current monitoring period , where each water quality index includes nitrogen, phosphorus and organic matter, j is the number of each water quality index, j=1,2,...3; The current monitoring value of each water quality index in the water area during the current monitoring period is subtracted from the target value of each water quality index in the water area, and the result of the subtraction is used as the numerator in the fraction, and the target value of each water quality index in the water area is used as the denominator in the fraction, thereby calculating the change rate of each water quality index in the water area during the current monitoring period. ; Adjust the planting density of target aquatic plants according to the change rate of corresponding nitrogen and phosphorus in the water area during the current monitoring period to obtain the adjusted planting density of target aquatic plants , They represent the change rates of nitrogen and phosphorus in the water area during the current monitoring period respectively; k1 and k2 are the calculation influencing factors for adjusting the planting density corresponding to the change rates of nitrogen and phosphorus respectively; Adjust the quantity of target microorganisms according to the change rate of corresponding organic matter in the water area during the current monitoring period to obtain the adjusted quantity of target microorganisms. , k3 is the calculation influence factor of the adjustment quantity of organic matter change rate; Indicates the change rate of the corresponding organic matter in the water area during the current monitoring period. The corresponding standard activity of the target microorganism is set. It is the difference between the current microbial activity and the standard activity.

[0011] An ecological aquaculture system based on a water ecological restoration system comprises a water pollution assessment module (1), a stocking ratio determination module (2) and a stocking quantity adjustment module (3), wherein the above modules are connected by wired and / or wireless connection to achieve data transmission between the modules; Water pollution assessment module (1): Conduct water quality assessment on the water area after chemical remediation, determine the degree of water pollution in the water area, and assess the degree of water pollution in the water area; Release ratio determination module (2): based on the assessment results of the water pollution degree of the water body, calculate the maximum release density of the target aquatic plants and the maximum release quantity of the target microorganisms corresponding to the water body; and finally determine the optimal release ratio of the target aquatic plants and the target microorganisms in the water body; Release quantity adjustment module (3): After the target aquatic plants and target microorganisms are released into the water area according to the optimal release ratio, a monitoring period is established to monitor the water quality of the water area during the monitoring period, and based on the water quality monitoring results of the water area during the monitoring period, the planting density of the target aquatic plants and the release quantity of the target microorganisms corresponding to the water area in the next monitoring period are adjusted.

[0012] The present invention provides an electronic device, comprising: a processor and a memory, wherein the memory stores a computer program that can be called by the processor; The processor calls the computer program stored in the memory to execute an ecological farming method based on a water ecological restoration system.

[0013] The present invention provides a computer program product stored on a computer-readable medium, including a computer-readable program, which, when executed on an electronic device, provides a user input interface to implement the ecological breeding method based on a water ecological restoration system.

[0014] As described above, the ecological farming method based on the water ecological restoration system provided by the present invention has at least the following beneficial effects: The present invention provides an ecological farming method based on a water ecological restoration system. In the management of water bodies after chemical restoration, water quality assessment is a key step in assessing the degree of water pollution. Through detailed water quality monitoring, the types and concentrations of pollutants can be identified, which can provide a scientific basis for formulating subsequent ecological restoration strategies; these data can not only reflect the pollution status of the water body, but also help determine the health level of the aquatic ecosystem; Based on the water quality assessment results, calculating the maximum release density of target aquatic plants and the maximum number of target microorganisms is the key to restoring ecological balance. Aquatic plants such as water hyacinth and duckweed can reduce the eutrophication of water bodies by absorbing nutrients such as nitrogen and phosphorus in the water, while providing habitats and sources of organic matter for microorganisms. Microorganisms can further purify water bodies by degrading organic pollutants. Therefore, reasonably determining the release ratio of aquatic plants and microorganisms can accelerate the self-purification process of water bodies; Regular monitoring of water quality changes can identify problems and make adjustments in a timely manner. For example, if the monitoring results show that the concentration of a certain pollutant has increased, it may be necessary to increase the number of specific microorganisms released or adjust the planting density of aquatic plants. In this way, dynamic management can ensure that the aquatic ecosystem gradually recovers and maintains stability; In summary, scientific water quality assessment and reasonable delivery strategies, combined with dynamic monitoring and adjustment mechanisms, can effectively improve the ecological environment of water bodies. This approach not only helps to restore the ecological balance of water bodies, but also improves the self-purification capacity of water bodies, providing protection for regional ecological security. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0016] Figure 1 It is a schematic diagram of the connection of each step of the method of the present invention.

[0017] Figure 2 It is a schematic diagram of the connection of various modules of the system of the present invention. DETAILED DESCRIPTION

[0018] The above contents in combination with the implementation of the present invention are merely examples and explanations of the concept of the present invention. The technical personnel in the relevant technical field may make various modifications or supplements to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the claims, they shall all fall within the protection scope of the present invention.

[0019] Example 1 See also Figure 1 As shown, an ecological farming method based on a water ecological restoration system comprises the following steps: Step 1: Conduct water quality assessment on the water area after chemical repair to determine the degree of water pollution in the water area. If the assessment is qualified, the method loop is jumped out and no operation is performed; otherwise, step 2 is executed; In a possible design, the specific operation process of step one is: The water bodies of the water area to be repaired are sampled and tested, and the chemical oxygen demand (COD) and biochemical oxygen demand (BOD) of the water bodies corresponding to the water area to be repaired are obtained; thus, the degree of organic pollution of the water bodies corresponding to the water area to be repaired is obtained. , where COD' and BOD' are the standard chemical oxygen demand limit and standard biochemical oxygen demand limit respectively; In order to sample the water bodies of the waters to be restored and test the chemical oxygen demand (COD) and biochemical oxygen demand (BOD), first of all, when sampling, representative sampling points should be calculated, and sampling should be carried out at different depths and locations to obtain comprehensive water quality information. The collected water samples should be sealed immediately and stored under low temperature conditions to prevent sample changes. In the laboratory, COD testing usually uses potassium dichromate oxidation method to calculate the COD value by measuring the change in oxygen content before and after the redox reaction in the water sample; while the BOD test is determined by incubating the water sample at 20°C for 5 days and measuring the difference in dissolved oxygen concentration before and after incubation.

[0020] Sampling the water in the water area to be repaired to obtain the measured concentration of each pollutant in the water area to be repaired , i is the number of each pollutant, i=1,2,...N, N is the total number of pollutants; thus comprehensively assessing the degree of other pollution in the corresponding water body of the water area to be repaired , is the weight coefficient of the i-th pollutant, reflecting the relative impact of each pollutant on the water body. is the standard limit value of the i-th pollutant; The pollution costs include but are not limited to nitrogen, phosphorus, organic matter, heavy metals or other pollutants; This determines the degree of water pollution in the water body , are the correction factors for the set organic pollution in water and other pollution in water, respectively, and ; The water pollution degree of the water area is compared with the set chemical remediation water pollution degree threshold. If the water pollution degree of the water area is greater than the set chemical remediation water pollution degree threshold, the water pollution degree of the water area is judged to be unqualified; otherwise, the water pollution degree of the water area is judged to be qualified.

[0021] Step 2: Calculate the maximum density of target aquatic plants and the maximum number of target microorganisms in the water area according to the assessment results of the water pollution level of the water area; and finally determine the optimal ratio of target aquatic plants and target microorganisms in the water area; In a possible design, the maximum density of target aquatic plants and the maximum number of target microorganisms in the water area are calculated. The specific operation logic is as follows: By calculating the formula , calculate the maximum density of target aquatic plants in the water area , V is the volume of water in the water area, A is the area of ​​the water area, are the measured concentrations of the corresponding nitrogen and phosphorus in the water area; are the absorption efficiencies of nitrogen and phosphorus of the target aquatic plants, All are set synergy effect correction factors; By calculating the formula , calculate the maximum number of target microorganisms corresponding to the water area , is the set synergy effect correction factor; The decomposition efficiency of organic matter by target microorganisms.

[0022] The calculation formula for the planting density of aquatic plants and the amount of microorganisms to be added is usually based on factors such as the pollutant concentration in the water body, the target removal rate, and the removal capacity of plants and microorganisms. The calculation formula can optimize the use of aquatic plants and microorganisms according to specific water quality conditions and ecological conditions, thereby improving the efficiency of water body remediation. This method can not only effectively reduce costs, but also minimize interference with the ecological environment. In addition, reasonable planting density and amount of addition can promote the optimal growth and function of plants and microorganisms, and enhance the stability and recovery capacity of the ecosystem.

[0023] In one possible design, The specific logic is: Using simulation software, the organic matter removal efficiency of the water area using only the target aquatic plants, only the target microorganisms, and the combination of the two was simulated; Using a multiple linear regression model: , E is the overall organic matter removal efficiency, P1, P2 and P3 are the organic matter removal efficiencies of using the target aquatic plants alone, the target microorganisms alone, and the combination of the two, respectively. are the regression coefficients to be determined; Use statistical software to perform regression analysis and determine the value of the regression coefficient. , , , ; The code for regression analysis using Python is shown below: import statsmodels.api as sm import numpy as np # Assume the data is in a DataFrame # df['E'] is the removal efficiency, df['P1'], df['P2'], df['P3'] are the respective treatment effects and interaction terms X = df[['P1', 'P2', 'P3']] X = sm.add_constant(X) # Add a constant term y = df['E'] model = sm.OLS(y, X).fit() print(model.summary()) The value of the synergy correction coefficient is solved as follows: ; ; .

[0024] The calculation formula of the synergistic effect correction coefficient is based on the results of the interaction effect in the regression analysis. By experimentally measuring the effects of individual and combined treatments, the regression model can quantify the interaction between plants and microorganisms. The above calculation formula reflects the impact of this interaction on the removal efficiency. Its effectiveness is verified by analyzing experimental data, thus providing a scientific basis to adjust and improve the efficiency of the treatment plan; Synergy Effect Correction Factor The calculation method is the same, but the results may be different. This is because each coefficient reflects the synergistic effect of different treatment targets (such as nitrogen, phosphorus, organic matter) when used in combination; Each removal target (nitrogen, phosphorus, organic matter) may behave differently in the experiment and the interaction effects may differ; the regression analysis for each target will produce different coefficients. , resulting in different calculated correction factors; Therefore, although the calculation formula is the same, the final synergistic effect correction factor may be different due to different experimental data and interaction effects for each target.

[0025] In a possible design, the optimal ratio of target aquatic plants and target microorganisms in the water area is determined. The specific determination process includes the following steps: Define the objective function G to maximize the efficiency of water quality restoration in the water area: ,in, are the set weight coefficients, RN, RP and RF are the removal rates of nitrogen, phosphorus and organic matter respectively; ; ; ; in are the set experimental fitting coefficients, RN0, RP0 and RF0 are the measured concentrations of nitrogen, phosphorus and organic matter in the water area, respectively; According to the constraints: , ; Simultaneously use the gradient descent algorithm to maximize the objective function G, thereby solving the value of the density of the target aquatic plants corresponding to the water area in the maximized objective function G. and the number of target microorganisms released ; by As the numerator of the fraction, Make the denominator of the fraction and solve it to get the optimal release ratio of target aquatic plants and target microorganisms in the water area.

[0026] In the process of water ecological restoration, the optimal release ratio rather than the maximum density of aquatic plants and microorganisms is selected mainly to achieve the balance of the ecosystem and optimize the efficiency of water quality restoration. Directly releasing aquatic plants and microorganisms at the maximum density may lead to a series of ecological problems. First, excessive aquatic plants will lead to the rapid consumption of nutrients in the water body, which may trigger competition among plants, cause the death of some plants and increase the organic matter load, which in turn reduces the water quality. In addition, too much plant cover may block sunlight, affect the photosynthesis of the water body, and thus affect the survival of other aquatic organisms; For microorganisms, over-feeding may lead to excessive consumption of oxygen, because microorganisms need to consume oxygen when decomposing pollutants. This may cause hypoxia in the water body, endangering the survival of fish and other aerobic organisms. The selection of the optimal stocking ratio is based on the principles of ecology and environmental engineering, aiming to maintain the stability and functionality of the ecosystem. Through experiments and model calculations, the optimal ratio determined can ensure the maximization of the synergistic effect of aquatic plants and microorganisms, improve the removal efficiency of nitrogen, phosphorus and organic pollutants, and avoid ecological imbalance; In addition, a reasonable stocking ratio helps reduce costs and resource waste, because the maximum density stocking requires more plants and microorganisms, which increases the economic burden and management difficulty. By optimizing the stocking ratio, the best balance between resource utilization and environmental benefits can be found, thus achieving sustainable water restoration. In summary, choosing the best stocking ratio can not only improve the restoration efficiency, but also protect the ecological balance of the water body and ensure long-term environmental health.

[0027] Step 3: After the target aquatic plants and target microorganisms are released into the water area according to the optimal release ratio, a monitoring period is established to monitor the water quality of the water area during the monitoring period, and according to the water quality monitoring results of the water area during the monitoring period, the planting density of the target aquatic plants and the release quantity of the target microorganisms corresponding to the water area in the next monitoring period are adjusted; In a possible design, the planting density of target aquatic plants and the number of target microorganisms released in the water area in the next monitoring period are adjusted. The specific adjustment process is: Get the current monitoring values ​​of each water quality index in the water area during the current monitoring period , where each water quality index includes nitrogen, phosphorus and organic matter, j is the number of each water quality index, j=1,2,...3; The current monitoring value of each water quality index in the water area during the current monitoring period is subtracted from the target value of each water quality index in the water area, and the result of the subtraction is used as the numerator in the fraction, and the target value of each water quality index in the water area is used as the denominator in the fraction, thereby calculating the change rate of each water quality index in the water area during the current monitoring period. ; Adjust the planting density of target aquatic plants according to the change rate of corresponding nitrogen and phosphorus in the water area during the current monitoring period to obtain the adjusted planting density of target aquatic plants , They represent the change rates of nitrogen and phosphorus in the water area during the current monitoring period respectively; k1 and k2 are the calculation influencing factors for adjusting the planting density corresponding to the change rates of nitrogen and phosphorus respectively; Adjust the quantity of target microorganisms according to the change rate of corresponding organic matter in the water area during the current monitoring period to obtain the adjusted quantity of target microorganisms. , k3 is the calculation influence factor of the adjustment quantity of organic matter change rate; Indicates the change rate of the corresponding organic matter in the water area during the current monitoring period. The corresponding standard activity of the target microorganism is set. It is the difference between the current microbial activity and the standard activity.

[0028] Adjusting the amount of aquatic plants and microorganisms according to the rate of change has significant advantages in water management. This dynamic adjustment method can flexibly respond to changes in water quality. By regularly monitoring the rate of change of water quality, it can promptly detect fluctuations in water quality indicators and make corresponding adjustments to ensure that the management measures are consistent with the actual situation. Through accurate calculation of the rate of change, the amount of aquatic plants and microorganisms can be reasonably allocated, avoiding unnecessary investment and reducing management costs. In addition, this method can also reduce disturbances to the ecosystem. By making gradual adjustments rather than making large changes at one time, it can better maintain ecological balance and support the self-purification capacity of water bodies.

[0029] Example 2 See also Figure 2 As shown, an ecological aquaculture system based on a water ecological restoration system comprises a water pollution assessment module (1), a stocking ratio determination module (2) and a stocking quantity adjustment module (3), wherein the above modules are connected by wired and / or wireless connection to achieve data transmission between the modules; Water pollution assessment module (1): Conduct water quality assessment on the water area after chemical remediation, determine the degree of water pollution in the water area, and assess the degree of water pollution in the water area; Release ratio determination module (2): based on the assessment results of the water pollution degree of the water body, calculate the maximum release density of the target aquatic plants and the maximum release quantity of the target microorganisms corresponding to the water body; and finally determine the optimal release ratio of the target aquatic plants and the target microorganisms in the water body; Release quantity adjustment module (3): After the target aquatic plants and target microorganisms are released into the water area according to the optimal release ratio, a monitoring period is established to monitor the water quality of the water area during the monitoring period, and based on the water quality monitoring results of the water area during the monitoring period, the planting density of the target aquatic plants and the release quantity of the target microorganisms corresponding to the water area in the next monitoring period are adjusted.

[0030] Example 3 An electronic device according to an exemplary embodiment includes: a processor and a memory, wherein the memory stores a computer program that can be called by the processor; The processor executes the above-mentioned ecological farming method based on the water ecological restoration system by calling the computer program stored in the memory.

[0031] An electronic device, which may have relatively large differences due to different configurations or performances, can include one or more processors (Central Processing Units, CPU) and one or more memories, wherein the memories store at least one computer program, and the at least one computer program is loaded and executed by the processor to implement an ecological farming method based on a water ecological restoration system provided by the above-mentioned various method embodiments.

[0032] The electronic device may also include other components for realizing the functions of the device, for example, the electronic device may also have components such as a wired or wireless network interface and an input / output interface for input and output. The embodiments of the present application will not be described in detail here.

[0033] This embodiment also provides a computer program product stored on a computer-readable medium, including a computer-readable program, which, when executed on an electronic device, provides a user input interface to implement the ecological farming method based on the water ecological restoration system.

[0034] It should be understood that in the various embodiments of the present application, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0035] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0036] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. An ecological breeding method based on a water ecological restoration system, characterized in that: include: Step 1: Conduct water quality assessment on the water area after chemical repair to determine the degree of water pollution in the water area. If the assessment is qualified, the method loop is jumped out and no operation is performed; otherwise, step 2 is executed; Step 2: Calculate the maximum density of target aquatic plants and the maximum number of target microorganisms in the water area according to the assessment results of the water pollution level of the water area; and finally determine the optimal ratio of target aquatic plants and target microorganisms in the water area; Step 3. After the target aquatic plants and target microorganisms are released into the water area according to the optimal release ratio, a monitoring period is established to monitor the water quality of the water area during the monitoring period. Based on the water quality monitoring results of the water area during the monitoring period, the planting density of the corresponding target aquatic plants and the release quantity of the target microorganisms in the water area in the next monitoring period are adjusted.

2. The ecological farming method based on the water ecological restoration system according to claim 1 is characterized in that: The specific operation process of step one is: The water bodies of the water area to be repaired are sampled and tested, and the chemical oxygen demand (COD) and biochemical oxygen demand (BOD) of the water bodies corresponding to the water area to be repaired are obtained; thus, the degree of organic pollution of the water bodies corresponding to the water area to be repaired is obtained. , where COD' and BOD' are the standard chemical oxygen demand limit and standard biochemical oxygen demand limit respectively; Sampling the water in the water area to be repaired to obtain the measured concentration of each pollutant in the water area to be repaired , i is the number of each pollutant component, i=1,2,...N, N is the total number of pollutants; Based on this, we can comprehensively evaluate the degree of other pollution in the corresponding water bodies of the waters to be restored. , is the weight coefficient of the i-th pollutant, reflecting the relative impact of each pollutant on the water body. is the standard limit value of the i-th pollutant; This determines the degree of water pollution in the water body , are the correction factors for the set organic pollution in water and other pollution in water, respectively, and ; The water pollution degree of the water area is compared with the set chemical remediation water pollution degree threshold. If the water pollution degree of the water area is greater than the set chemical remediation water pollution degree threshold, the water pollution degree of the water area is judged to be unqualified; otherwise, the water pollution degree of the water area is judged to be qualified.

3. The ecological farming method based on the water ecological restoration system according to claim 1 is characterized in that: Calculate the maximum density of target aquatic plants and the maximum number of target microorganisms in the water area. The specific operation logic is as follows: By calculating the formula , calculate the maximum density of target aquatic plants in the water area , V is the volume of water in the water area, A is the area of ​​the water area, are the measured concentrations of the corresponding nitrogen and phosphorus in the water area; are the absorption efficiencies of nitrogen and phosphorus of the target aquatic plants, All are set synergy effect correction factors; By calculating the formula , calculate the maximum number of target microorganisms corresponding to the water area , is the set synergy effect correction factor; The decomposition efficiency of organic matter by target microorganisms.

4. The ecological farming method based on the water ecological restoration system according to claim 3 is characterized in that: The specific logic is: Using simulation software, the organic matter removal efficiency of the water area using only the target aquatic plants, only the target microorganisms, and the combination of the two was simulated; Using a multiple linear regression model: , E is the overall organic matter removal efficiency, P1, P2 and P3 are the organic matter removal efficiencies of using the target aquatic plants alone, the target microorganisms alone, and the combination of the two, respectively. are the regression coefficients to be determined; Use statistical software to perform regression analysis and determine the value of the regression coefficient. , , , ; The value of the synergy correction coefficient is solved as follows: ； ； 。 5. The ecological farming method based on the water ecological restoration system according to claim 3 is characterized in that: Determine the optimal ratio of target aquatic plants and target microorganisms in the water area. The specific determination process includes the following steps: Define the objective function G to maximize the efficiency of water quality restoration in the water area: ,in, are the set weight coefficients, RN, RP and RF are the removal rates of nitrogen, phosphorus and organic matter respectively; ； ； ； in are the set experimental fitting coefficients, RN0, RP0 and RF0 are the measured concentrations of nitrogen, phosphorus and organic matter in the water area, respectively; According to the constraints: , ; Simultaneously use the gradient descent algorithm to maximize the objective function G, thereby solving the value of the density of the target aquatic plants corresponding to the water area in the maximized objective function G. and the number of target microorganisms released ; by As the numerator of the fraction, Make the denominator of the fraction and solve it to get the optimal release ratio of target aquatic plants and target microorganisms in the water area.

6. The ecological farming method based on the water ecological restoration system according to claim 1 is characterized in that: The planting density of target aquatic plants and the number of target microorganisms in the waters corresponding to the next monitoring period will be adjusted. The specific adjustment process is as follows: Get the current monitoring values ​​of each water quality index in the water area during the current monitoring period , where each water quality index includes nitrogen, phosphorus and organic matter, j is the number of each water quality index, j=1,2,...3; The current monitoring value of each water quality index in the water area during the current monitoring period is subtracted from the target value of each water quality index in the water area, and the result of the subtraction is used as the numerator in the fraction, and the target value of each water quality index in the water area is used as the denominator in the fraction, thereby calculating the change rate of each water quality index in the water area during the current monitoring period. ; Adjust the planting density of target aquatic plants according to the change rate of corresponding nitrogen and phosphorus in the water area during the current monitoring period to obtain the adjusted planting density of target aquatic plants , They represent the change rates of nitrogen and phosphorus in the water area during the current monitoring period respectively; k1 and k2 are the calculation influencing factors for adjusting the planting density corresponding to the change rates of nitrogen and phosphorus respectively; Adjust the quantity of target microorganisms according to the change rate of corresponding organic matter in the water area during the current monitoring period to obtain the adjusted quantity of target microorganisms. , k3 is the calculation influence factor of the adjustment quantity of organic matter change rate; Indicates the change rate of the corresponding organic matter in the water area during the current monitoring period. The corresponding standard activity of the target microorganism is set. It is the difference between the current microbial activity and the standard activity.

7. An ecological breeding system based on a water ecological restoration system, characterized in that: The method is implemented based on an ecological farming method based on a water ecological restoration system according to any one of claims 1 to 6, comprising a water pollution assessment module (1), a release ratio determination module (2) and a release quantity adjustment module (3), wherein the above modules are connected by wired and / or wireless connection to realize data transmission between the modules; Water pollution assessment module (1): Conduct water quality assessment on the water area after chemical remediation, determine the degree of water pollution in the water area, and assess the degree of water pollution in the water area; Release ratio determination module (2): based on the assessment results of the water pollution degree of the water body, calculate the maximum release density of the target aquatic plants and the maximum release quantity of the target microorganisms corresponding to the water body; and finally determine the optimal release ratio of the target aquatic plants and the target microorganisms in the water body; Release quantity adjustment module (3): After the target aquatic plants and target microorganisms are released into the water area according to the optimal release ratio, a monitoring period is established to monitor the water quality of the water area during the monitoring period, and based on the water quality monitoring results of the water area during the monitoring period, the planting density of the target aquatic plants and the release quantity of the target microorganisms corresponding to the water area in the next monitoring period are adjusted.

8. An electronic device, characterized in that: include: A processor and a memory, wherein the memory stores a computer program that can be called by the processor; The processor calls the computer program stored in the memory to execute and implement the ecological farming method based on the water ecological restoration system as described in any one of claims 1 to 6.

9. A computer program product stored on a computer readable medium, characterized in that: It comprises a computer-readable program, which, when executed on an electronic device, provides a user input interface to implement an ecological farming method based on a water ecological restoration system as described in any one of claims 1 to 6.

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