A whole-process management method for aquaculture based on fishery photovoltaic complementarity

Abstract

The present application discloses a whole-process management method for aquaculture based on photovoltaic complementarity in fishery, comprising: obtaining aquaculture growth data of a growth cycle under a photothermal environment, and screening out characteristic factors; analyzing the aquaculture growth data of the characteristic factors, obtaining growth evaluation values ​​of the growth cycle, and drawing aquaculture growth curves corresponding to the photothermal environment; analyzing multiple aquaculture growth curves, screening out preferred aquatic species, and constructing a photothermal environment-preferred aquatic species mapping table; determining a preferred reference group and formulating a management strategy based on a maximum photoelectric efficiency objective function and a photothermal environment-preferred aquatic species mapping table, constructing an aquaculture growth curve based on the growth evaluation value, thereby obtaining the relationship between shrimp and crab quality indicators and different photothermal environments, and establishing a response mechanism of photovoltaic fishery farming-photothermal environment-photovoltaic array structure, thereby forming an efficient coupling management method of "shrimp and crab-environment-photovoltaic power generation", and improving the modernization level of fishery-photovoltaic complementary farming.

Description

Technical Field

[0001] The present application relates to the field of fishery complementary technology, and in particular to a method for managing the entire aquaculture process based on fishery photovoltaic complementarity. Background Art

[0002] "Fish-solar complementation" is a new type of fishing method that originated in China in the 21st century. It is a new technology for water power generation and underwater aquaculture. Fish-solar complementation combines solar power generation with aquaculture, does not occupy additional land resources, and has the advantages of low management costs, low aquaculture costs, energy conservation and emission reduction, and leisure tourism potential.

[0003] In the existing technology, the balance effect between photovoltaic construction and aquaculture in fish-photovoltaic complementarity is not ideal. There is a lack of research on the impact and correlation between photovoltaic construction and shrimp and crab farming, so it is impossible to provide an efficient coupling method for shrimp and crab-photovoltaic power generation, which reduces the efficiency of photovoltaic power generation or farming efficiency. Summary of the invention

[0004] In order to solve the above technical problems, the present application provides a whole-process management method for aquaculture based on photovoltaic complementarity in fisheries. The aquaculture growth data under multiple photothermal environments of the photovoltaic power station are analyzed, the characteristic factors of each growth cycle are determined and growth evaluation values ​​are generated, and aquaculture growth curves are constructed according to the growth evaluation values, so as to obtain the relationship between shrimp and crab quality indicators and different photothermal environments. According to the objective function of maximizing photoelectric efficiency and the photothermal environment-preferred aquatic species mapping table, a response mechanism of photovoltaic fishery farming-photothermal environment-photovoltaic array structure is established, thereby forming an efficient coupling management method of "shrimp and crab-environment-photovoltaic power generation", and improving the modernization level of fish-photovoltaic complementary farming.

[0005] In some embodiments of the present application, a method for managing the entire aquaculture process based on fishery photovoltaic complementarity is provided, comprising:

[0006] Obtain the water production growth data of each growth cycle under multiple light and heat environments, and screen out the characteristic factors of each growth cycle based on the water production growth data;

[0007] Comprehensively analyze the hydroponic growth data corresponding to the characteristic factors of each growth cycle to obtain the growth evaluation value of each growth cycle, and draw the hydroponic growth curve corresponding to the light and heat environment according to the growth evaluation value;

[0008] Analyze multiple aquatic growth curves, select the preferred aquatic species for each light and heat environment based on the analysis results, and construct a light and heat environment-preferred aquatic species mapping table;

[0009] Establish an objective function for maximizing photoelectric efficiency, determine the preferred reference group based on the objective function for maximizing photoelectric efficiency and the photothermal environment-preferred aquatic species mapping table, and formulate management strategies based on the priority parameter groups.

[0010] In some embodiments of the present application, characteristic factors of each growth cycle are screened out based on aquatic growth data, including:

[0011] Presetting a first characteristic index and a second characteristic index;

[0012] Comprehensively analyzing the aquatic growth data of each growth cycle and the first characteristic index, generating a correlation coefficient between each aquatic growth data in each growth cycle and the first characteristic index, and selecting a characteristic factor of the first characteristic index according to the first correlation coefficient;

[0013] Comprehensively analyze the aquatic growth data and the second characteristic index of each growth cycle to generate a correlation coefficient between each aquatic growth data and the second characteristic index in each growth cycle, and screen out the characteristic factors of the second characteristic index according to the second correlation coefficient.

[0014] In some embodiments of the present application, a comprehensive analysis of aquatic growth data corresponding to characteristic factors of each growth cycle includes:

[0015] Analyze the water production growth data involved in the characteristic factor of the first characteristic indicator of each life cycle with the corresponding preset water production growth data interval to obtain the first deviation degree of each characteristic factor of the first characteristic indicator in each life cycle, and quantify the first deviation degree to obtain multiple first values;

[0016] The water production growth data involved in the characteristic factors of the second characteristic indicators of each life cycle are analyzed with the corresponding preset water production growth data interval to obtain the second deviation degree of each characteristic factor of the second characteristic indicator in each life cycle, and the second deviation degree is quantified to obtain multiple second values.

[0017] In some embodiments of the present application, obtaining a growth evaluation value for each growth cycle includes:

[0018] Obtaining a first growth evaluation value for each growth cycle according to a plurality of first values ​​and second values;

[0019] The first growth evaluation value is:

[0020] ;

[0021] in, is the first growth evaluation value, gi1 is the i-th first value, si1 is the weight coefficient of the i-th first value, a1 is the influence coefficient corresponding to the first characteristic index, n is the total number of first values, gi2 is the i-th second value, si2 is the weight coefficient of the i-th second value, a2 is the influence coefficient corresponding to the second characteristic index, and d is the total number of second values;

[0022] Pre-constructing test set data for each growth cycle, and generating the credibility of the first growth evaluation value of the corresponding growth cycle according to the test set data;

[0023] The number of aquatic products collected in the corresponding growth period is set according to the credibility, and the correction coefficient e of the corresponding growth period is set according to the nutritional components of the collected aquatic products;

[0024] Correcting the first growth evaluation value M according to the correction coefficient e to generate a growth evaluation value m;

[0025] The growth evaluation value m is: m=M*e.

[0026] In some embodiments of the present application, the number of aquatic products collected in a corresponding growth period is set according to the credibility, including:

[0027] Presetting a first preset credibility interval, a second preset credibility interval, a third preset credibility interval and a fourth preset credibility interval;

[0028] When the credibility is within the first preset credibility interval, the fourth preset number of collected aquatic products is selected as the current number of collected aquatic products;

[0029] When the credibility is within the second preset credibility interval, the third preset number of collected aquatic products is selected as the current number of collected aquatic products;

[0030] When the credibility is within the third preset credibility interval, the second preset number of collected aquatic products is selected as the current number of collected aquatic products;

[0031] When the credibility is in the fourth preset credibility interval, the first preset number of collected aquatic products is selected as the current number of collected aquatic products.

[0032] In some embodiments of the present application, a water growth curve corresponding to the light and heat environment is drawn according to the growth evaluation value, including:

[0033] A plurality of growth evaluation nodes are set according to the length of each growth cycle, and a growth evaluation value at each growth evaluation node is calculated;

[0034] Based on the time of the growth evaluation node, the growth evaluation values ​​of multiple growth evaluation nodes in the same growth cycle are plotted as sub-growth curve segments;

[0035] The sub-growth curve segments of each growth cycle are spliced ​​in the chronological order of the growth cycle to generate the water production growth curve corresponding to the light and heat environment.

[0036] In some embodiments of the present application, the preferred aquatic species for each photothermal environment is screened out according to the analysis results, and a photothermal environment-preferred aquatic species mapping table is constructed, including:

[0037] Analyze each sub-growth curve segment in the hydroponic growth curve one by one to obtain the change trend of each sub-growth curve segment of the hydroponic growth curve;

[0038] If the change trend of the sub-growth curve segment is a downward trend, the downward evaluation threshold is calculated. If the downward evaluation threshold is greater than the preset downward evaluation threshold, the water growth curve corresponding to the current sub-growth curve segment is eliminated once, and the remaining water growth curves are subjected to a second analysis;

[0039] Comprehensively analyzing the sub-growth curve segments of the remaining water-generating growth curves, and obtaining growth evaluation values ​​on the sub-growth curve segments at the splicing locations of the remaining water-generating growth curves;

[0040] If the adjacent growth evaluation values ​​on the sub-growth curve segments at the splicing are subtracted to obtain multiple evaluation differences at the splicing, if the evaluation difference is greater than the preset evaluation difference threshold, the water growth curve corresponding to the current sub-growth curve segment is secondary eliminated, and the remaining water growth curves constitute a normal water growth curve set;

[0041] The water production growth curves in the normal water production growth curve set are divided according to the light and heat environment to obtain the water production growth curves in the same light and heat environment;

[0042] Calculate the growth evaluation rate of the water growth curve of the same light and thermal environment, and set the water growth curve with a growth evaluation rate greater than a preset rate threshold as the preferred water growth curve of the current light and thermal environment;

[0043] The aquatic species corresponding to the preferred aquatic growth curve is set as the preferred aquatic species for the current light and thermal environment, and a light and thermal environment-preferred aquatic species mapping table is constructed.

[0044] In some embodiments of the present application, establishing a maximum photoelectric efficiency objective function includes:

[0045] The objective function for maximizing photoelectric efficiency is:

[0046] ;

[0047] Where P is the objective function of maximizing photoelectric efficiency, It is the power generation efficiency of the Fsrth photovoltaic array structure used in the rth solar thermal environment where the sth preferred aquatic species is located, and max is the maximum value symbol.

[0048] In some embodiments of the present application, the preferred reference group is determined according to the objective function of maximizing photoelectric efficiency and the photothermal environment-preferred aquatic species mapping table, including:

[0049] Determine the optimal photovoltaic array structure corresponding to the photothermal environment and the preferred aquatic species in the photothermal environment-preferred aquatic species mapping table according to the objective function of maximizing photoelectric efficiency;

[0050] Generate a preferred reference group according to the optimal photovoltaic array structure, the corresponding light and thermal environment, and the preferred aquatic species, and construct a mapping table of aquatic species-light and thermal environment-photovoltaic array structure according to the preferred reference group;

[0051] Develop management strategies based on the aquatic species-photothermal environment-photovoltaic array structure mapping table.

[0052] The whole process management method of aquaculture based on fishery photovoltaic complementarity in the embodiment of the present application has the following beneficial effects compared with the prior art:

[0053] Based on the analysis of aquatic growth data under multiple photothermal environments of the photovoltaic power station, the characteristic factors of each growth cycle were determined and growth evaluation values ​​were generated. The aquatic growth curve was constructed based on the growth evaluation values, thereby obtaining the relationship between shrimp and crab quality indicators and different photothermal environments. According to the objective function of maximizing photoelectric efficiency and the photothermal environment-preferred aquatic species mapping table, a response mechanism of photovoltaic fishery farming-photothermal environment-photovoltaic array structure was established, thus forming an efficient coupling management method of "shrimp and crab-environment-photovoltaic power generation" and improving the modernization level of fish-photovoltaic complementary farming. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] Figure 1 It is a flow chart of a whole-process management method of aquaculture based on fishery photovoltaic complementarity in the preferred embodiment of the present application. DETAILED DESCRIPTION

[0055] The specific implementation methods of the present application are further described in detail below in conjunction with the accompanying drawings and examples. The following examples are used to illustrate the present application but are not intended to limit the scope of the present application.

[0056] In the description of the present application, it should be understood that the terms "center", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc., indicating orientations or positional relationships, are based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the present application.

[0057] The terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features. In the description of this application, unless otherwise specified, "plurality" means two or more.

[0058] In the description of this application, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in this application can be understood according to specific circumstances.

[0059] like Figure 1 As shown, a method for managing the whole process of aquaculture based on fishery photovoltaic complementarity according to a preferred embodiment of the present application includes:

[0060] Step S101: Acquire water growth data of each growth cycle under multiple light and heat environments, and screen out characteristic factors of each growth cycle according to the water growth data;

[0061] Step S102: Comprehensively analyzing the water growth data corresponding to the characteristic factors of each growth cycle to obtain a growth evaluation value of each growth cycle, and drawing a water growth curve corresponding to the light and heat environment according to the growth evaluation value;

[0062] Step S103: Analyze multiple aquatic growth curves, select the preferred aquatic species for each light and thermal environment according to the analysis results, and construct a light and thermal environment-preferred aquatic species mapping table;

[0063] Step S104: Establish a maximum photoelectric efficiency objective function, determine the preferred reference group based on the maximum photoelectric efficiency objective function and the photothermal environment-preferred aquatic species mapping table, and formulate a management strategy based on the priority parameter group.

[0064] In this embodiment, the photothermal environment refers to the heat generated when light is irradiated onto the water surface. Aquatic products include various shrimps and crabs. The aquatic growth data include the external morphological data, sensory evaluation data, edible part content data, weight gain rate data, etc. of shrimps and crabs.

[0065] In this embodiment, a comprehensive analysis is performed based on multiple quality indicators such as shrimp and crab morphology, sensory evaluation, edible part content, etc. in multiple growth cycles, an aquatic growth curve is constructed, and the relationship between the shrimp and crab quality indicators and different light and thermal environments is established, so as to screen out a plurality of preferred aquatic species. The preferred aquatic species are aquatic species that are adapted to the corresponding light and thermal environment based on the relationship between the shrimp and crab quality indicators and different light and thermal environments.

[0066] In this embodiment, based on the analysis of aquatic growth data of each growth cycle under different photothermal environments, the characteristic factors of each growth cycle are determined, and the growth evaluation value of each growth cycle is generated. The aquatic growth curve is constructed according to the growth evaluation value, so as to obtain the relationship between the quality indicators of shrimps and crabs and different photothermal environments, and determine the preferred aquatic species for different photothermal environments. According to the objective function of maximizing photoelectric efficiency and the photothermal environment-preferred aquatic species mapping table, a response mechanism of photovoltaic fishery farming-photothermal environment-photovoltaic array structure is established, thereby forming an efficient coupling management method of "shrimp and crab-environment-photovoltaic power generation", and improving the modernization level of fish-photovoltaic complementary farming.

[0067] In some embodiments of the present application, characteristic factors of each growth cycle are screened out based on aquatic growth data, including:

[0068] Presetting a first characteristic index and a second characteristic index;

[0069] Comprehensively analyzing the aquatic growth data of each growth cycle and the first characteristic index, generating a correlation coefficient between each aquatic growth data in each growth cycle and the first characteristic index, and selecting a characteristic factor of the first characteristic index according to the first correlation coefficient;

[0070] Comprehensively analyze the aquatic growth data and the second characteristic index of each growth cycle to generate a correlation coefficient between each aquatic growth data and the second characteristic index in each growth cycle, and screen out the characteristic factors of the second characteristic index according to the second correlation coefficient.

[0071] In this embodiment, the water growth data with a correlation coefficient greater than 0.6 is set as the characteristic factor, and the value range of the first correlation coefficient and the second correlation coefficient is the same.

[0072] In this embodiment, in this embodiment, the first characteristic indicator refers to the growth performance index of shrimp and crab, and the second characteristic indicator refers to the growth yield index of shrimp and crab. The characteristic factors of the first characteristic indicator include external morphology, sensory evaluation, etc., and the characteristic factors of the second characteristic indicator include the edible part content of shrimp and crab, weight gain rate, etc.

[0073] In some embodiments of the present application, a comprehensive analysis of aquatic growth data corresponding to characteristic factors of each growth cycle includes:

[0074] Analyze the water production growth data involved in the characteristic factor of the first characteristic indicator of each life cycle with the corresponding preset water production growth data interval to obtain the first deviation degree of each characteristic factor of the first characteristic indicator in each life cycle, and quantify the first deviation degree to obtain multiple first values;

[0075] The water production growth data involved in the characteristic factors of the second characteristic indicators of each life cycle are analyzed with the corresponding preset water production growth data interval to obtain the second deviation degree of each characteristic factor of the second characteristic indicator in each life cycle, and the second deviation degree is quantified to obtain multiple second values.

[0076] In this embodiment, the preset water production growth data interval refers to the normal water production growth data of the first characteristic factor and the second characteristic factor in each life cycle. The relationship between the water production growth data involved in the characteristic factor of the current first characteristic indicator and the water production growth data involved in the characteristic factor of the second characteristic indicator and the normal water production growth data is determined according to the degree of deviation. The greater the degree of deviation, the smaller the value.

[0077] In this embodiment, a growth evaluation value for each growth cycle is generated based on the value of the characteristic factor of the characteristic indicator, thereby improving the accuracy of aquatic growth performance quality and yield in each growth cycle under multiple photothermal environments, laying the foundation for the subsequent determination of the preferred aquatic species under each photothermal environment, and improving the level of modernization of fish-light complementary aquaculture.

[0078] In some embodiments of the present application, obtaining a growth evaluation value for each growth cycle includes:

[0079] Obtaining a first growth evaluation value for each growth cycle according to a plurality of first values ​​and second values;

[0080] The first growth evaluation value is:

[0081] ;

[0082] in, is the first growth evaluation value, gi1 is the i-th first value, si1 is the weight coefficient of the i-th first value, a1 is the influence coefficient corresponding to the first characteristic index, n is the total number of first values, gi2 is the i-th second value, si2 is the weight coefficient of the i-th second value, a2 is the influence coefficient corresponding to the second characteristic index, and d is the total number of second values;

[0083] Pre-constructing test set data for each growth cycle, and generating the credibility of the first growth evaluation value of the corresponding growth cycle according to the test set data;

[0084] The number of aquatic products collected in the corresponding growth period is set according to the credibility, and the correction coefficient e of the corresponding growth period is set according to the nutritional components of the collected aquatic products;

[0085] Correcting the first growth evaluation value M according to the correction coefficient e to generate a growth evaluation value m;

[0086] The growth evaluation value m is: m=M*e.

[0087] In this embodiment, the test set data is aquatic growth data involved in the first characteristic factor and the second characteristic factor of the corresponding growth period under the corresponding light and heat environment. The test set data is used to test the credibility of the first growth evaluation value of the corresponding growth period, improve the accuracy of the first growth evaluation value, and set the number of collected aquatic species according to the credibility. The first growth evaluation value is corrected according to the nutritional components of the number of collected aquatic species to obtain a growth evaluation value.

[0088] In this embodiment, the nutritional components of the collected aquatic products include water, crude protein, crude fat and ash, etc., and a correction coefficient is set according to the nutritional components. When the nutritional components are higher, the correction coefficient is larger, and the value range of the correction coefficient is (0.8, 1.2).

[0089] In some embodiments of the present application, the number of aquatic products collected in a corresponding growth period is set according to the credibility, including:

[0090] Presetting a first preset credibility interval, a second preset credibility interval, a third preset credibility interval and a fourth preset credibility interval;

[0091] When the credibility is within the first preset credibility interval, the fourth preset number of collected aquatic products is selected as the current number of collected aquatic products;

[0092] When the credibility is within the second preset credibility interval, the third preset number of collected aquatic products is selected as the current number of collected aquatic products;

[0093] When the credibility is within the third preset credibility interval, the second preset number of collected aquatic products is selected as the current number of collected aquatic products;

[0094] When the credibility is in the fourth preset credibility interval, the first preset number of collected aquatic products is selected as the current number of collected aquatic products.

[0095] In this embodiment, the first preset credibility interval is less than the second preset credibility interval is less than the third preset credibility interval is less than the fourth preset credibility interval, and the first preset number of aquatic products collected is less than the second preset number of aquatic products collected is less than the third preset number of aquatic products collected is less than the fourth preset number of aquatic products collected.

[0096] In this embodiment, the number of aquatic products collected is set according to the credibility of the first growth evaluation value. When the credibility is higher, the number of aquatic products collected can be appropriately reduced, and when the credibility is lower, the number of aquatic products collected should be increased, thereby ensuring the accuracy of the nutrient components of the collected aquatic products, setting the corresponding correction coefficient, improving the accuracy of the growth evaluation value, laying a data foundation for the subsequent drawing of the aquatic growth curve, and ensuring the accuracy of the aquatic growth curve.

[0097] In some embodiments of the present application, a water growth curve corresponding to the light and heat environment is drawn according to the growth evaluation value, including:

[0098] A plurality of growth evaluation nodes are set according to the length of each growth cycle, and a growth evaluation value at each growth evaluation node is calculated;

[0099] Based on the time of the growth evaluation node, the growth evaluation values ​​of multiple growth evaluation nodes in the same growth cycle are plotted as sub-growth curve segments;

[0100] The sub-growth curve segments of each growth cycle are spliced ​​in the chronological order of the growth cycle to generate the water production growth curve corresponding to the light and heat environment.

[0101] In this embodiment, the length of the growth cycle is obtained according to the number of months required for the growth cycle. The more months in the growth cycle, the longer the length, and thus the more growth evaluation nodes. The initial and end nodes of each growth cycle are set as growth evaluation nodes, and the growth evaluation value at each growth evaluation node is calculated. The growth evaluation values ​​at the growth evaluation nodes are arranged and connected in chronological order to form a growth evaluation value curve of the current growth cycle, that is, the sub-growth curve segment.

[0102] In this embodiment, the growth cycle is continuous, that is, January to April is the first growth cycle, and April to June is the second growth cycle. Multiple sub-growth curve segments are spliced ​​together to obtain an aquatic growth curve, which lays the foundation for the subsequent screening of preferred aquatic species for each light and heat environment and ensures the accuracy of the preferred aquatic species.

[0103] In some embodiments of the present application, the preferred aquatic species for each photothermal environment is screened out according to the analysis results, and a photothermal environment-preferred aquatic species mapping table is constructed, including:

[0104] Analyze each sub-growth curve segment in the hydroponic growth curve one by one to obtain the change trend of each sub-growth curve segment of the hydroponic growth curve;

[0105] If the change trend of the sub-growth curve segment is a downward trend, the downward evaluation threshold is calculated. If the downward evaluation threshold is greater than the preset downward evaluation threshold, the water growth curve corresponding to the current sub-growth curve segment is eliminated once, and the remaining water growth curves are subjected to a second analysis;

[0106] Comprehensively analyzing the sub-growth curve segments of the remaining water-generating growth curves, and obtaining growth evaluation values ​​on the sub-growth curve segments at the splicing locations of the remaining water-generating growth curves;

[0107] If the adjacent growth evaluation values ​​on the sub-growth curve segments at the splicing are subtracted to obtain multiple evaluation differences at the splicing, if the evaluation difference is greater than the preset evaluation difference threshold, the water growth curve corresponding to the current sub-growth curve segment is secondary eliminated, and the remaining water growth curves constitute a normal water growth curve set;

[0108] The water production growth curves in the normal water production growth curve set are divided according to the light and heat environment to obtain the water production growth curves in the same light and heat environment;

[0109] Calculate the growth evaluation rate of the water growth curve of the same light and thermal environment, and set the water growth curve with a growth evaluation rate greater than a preset rate threshold as the preferred water growth curve of the current light and thermal environment;

[0110] The aquatic species corresponding to the preferred aquatic growth curve is set as the preferred aquatic species for the current light and thermal environment, and a light and thermal environment-preferred aquatic species mapping table is constructed.

[0111] In this embodiment, the decline evaluation threshold refers to the maximum decline evaluation value in the current sub-growth curve segment, that is, the maximum decline evaluation value obtained by the difference between the two growth evaluation values ​​at the end of the current sub-growth curve, and the pre-decline evaluation threshold refers to the minimum normal decline evaluation value in the corresponding growth cycle under the same photothermal environment, and is set according to the historical growth evaluation value of abnormal aquatic products in the corresponding growth cycle under the same photothermal environment.

[0112] In this embodiment, the multiple evaluation differences at the splicing point refer to the differences between the growth evaluation values ​​at the splicing point of two adjacent sub-growth curve segments, and the preset evaluation difference threshold refers to the maximum normal evaluation difference between the corresponding growth cycles under the same light and thermal environment, and is set based on the historical growth evaluation value of normal aquatic products under the same light and thermal environment.

[0113] In this embodiment, the growth evaluation rate is calculated based on the difference between the initial growth evaluation value and the terminal growth evaluation value of the aquatic growth curve and the total length of the growth cycle, and the preset rate threshold is the minimum rate threshold that meets the yield and quality of aquatic products under the corresponding light and thermal environment.

[0114] In this embodiment, an aquatic growth curve is constructed according to the growth evaluation value to obtain the relationship between shrimp and crab quality indicators and different photothermal environments, determine the preferred aquatic species for different photothermal environments, and establish a response mechanism of photovoltaic fishery farming-photothermal environment-photovoltaic array structure according to the objective function of maximizing photoelectric efficiency and the photothermal environment-preferred aquatic species mapping table, thereby forming an efficient coupling management method of "shrimp and crab-environment-photovoltaic power generation" and improving the modernization level of fish-photovoltaic complementary farming.

[0115] In some embodiments of the present application, establishing a maximum photoelectric efficiency objective function includes:

[0116] The objective function for maximizing photoelectric efficiency is:

[0117] ;

[0118] Where P is the objective function of maximizing photoelectric efficiency, It is the power generation efficiency of the Fsr-th photovoltaic array structure used in the r-th solar thermal environment where the s-th preferred aquatic species is located, and max is the maximum value symbol.

[0119] In some embodiments of the present application, the preferred reference group is determined according to the objective function of maximizing the photoelectric efficiency and the photothermal environment-preferred aquatic species mapping table, including:

[0120] Determine the optimal photovoltaic array structure corresponding to the photothermal environment and the preferred aquatic species in the photothermal environment-preferred aquatic species mapping table according to the objective function of maximizing photoelectric efficiency;

[0121] Generate a preferred reference group according to the optimal photovoltaic array structure, the corresponding light and thermal environment, and the preferred aquatic species, and construct a mapping table of aquatic species-light and thermal environment-photovoltaic array structure according to the preferred reference group;

[0122] Develop management strategies based on the aquatic species-photothermal environment-photovoltaic array structure mapping table.

[0123] In this embodiment, a response mechanism of photovoltaic fishery farming-photothermal environment-photovoltaic array structure is established according to the objective function of maximizing photoelectric efficiency and the photothermal environment-preferred aquatic species mapping table, thereby forming an efficient coupling management method of "shrimp and crab-environment-photovoltaic power generation" and improving the modernization level of fish-photovoltaic complementary farming.

[0124] In summary, the present invention discloses a whole-process management method for aquaculture based on photovoltaic complementarity in fisheries, including: obtaining aquaculture growth data of each growth cycle under multiple photothermal environments, screening out characteristic factors of each growth cycle according to the aquaculture growth data; comprehensively analyzing the aquaculture growth data corresponding to the characteristic factors of each growth cycle to obtain a growth evaluation value of each growth cycle, and drawing aquaculture growth curves corresponding to the photothermal environment according to the growth evaluation values; analyzing multiple aquaculture growth curves, screening out preferred aquatic species for each photothermal environment according to the analysis results, and constructing a photothermal environment-preferred aquatic species mapping table; establishing a maximum photoelectric efficiency objective function, and according to maximizing The photoelectric efficiency objective function and the photothermal environment-preferred aquatic species mapping table determine the preferred reference group, and formulate a management strategy based on the priority parameter group. The aquatic growth data under multiple photothermal environments of the photovoltaic power station are analyzed to determine the characteristic factors of each growth cycle and generate growth evaluation values. The aquatic growth curve is constructed based on the growth evaluation values ​​to obtain the relationship between the shrimp and crab quality indicators and different photothermal environments. According to the maximization of the photoelectric efficiency objective function and the photothermal environment-preferred aquatic species mapping table, a response mechanism of photovoltaic fishery farming-photothermal environment-photovoltaic array structure is established, thereby forming an efficient coupling management method of "shrimp and crab-environment-photovoltaic power generation" and improving the modernization level of fish-photovoltaic complementary farming.

[0125] The above is only a preferred implementation of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and substitutions can be made without departing from the technical principles of the present application. These improvements and substitutions should also be regarded as the scope of protection of the present application.

Claims

1. A whole-process management method for aquaculture based on fishery photovoltaic complementarity, characterized in that: include: Obtain the water production growth data of each growth cycle under multiple light and heat environments, and screen out the characteristic factors of each growth cycle based on the water production growth data; Comprehensively analyze the hydroponic growth data corresponding to the characteristic factors of each growth cycle to obtain the growth evaluation value of each growth cycle, and draw the hydroponic growth curve corresponding to the light and heat environment according to the growth evaluation value; Analyze multiple aquatic growth curves, select the preferred aquatic species for each light and heat environment based on the analysis results, and construct a light and heat environment-preferred aquatic species mapping table; Establish a maximum photovoltaic efficiency objective function, determine the preferred reference group based on the maximum photovoltaic efficiency objective function and the photothermal environment-preferred aquatic species mapping table, and formulate a management strategy based on the priority parameter group; Based on the aquatic growth data, the characteristic factors of each growth cycle are screened out, including: Presetting a first characteristic index and a second characteristic index; Comprehensively analyzing the aquatic growth data of each growth cycle and the first characteristic index, generating a correlation coefficient between each aquatic growth data in each growth cycle and the first characteristic index, and selecting a characteristic factor of the first characteristic index according to the first correlation coefficient; Comprehensively analyze the aquatic growth data of each growth cycle and the second characteristic index, generate the correlation coefficient between each aquatic growth data and the second characteristic index in each growth cycle, and screen out the characteristic factor of the second characteristic index according to the second correlation coefficient; Comprehensive analysis of aquatic growth data corresponding to characteristic factors of each growth cycle, including: Analyze the water production growth data involved in the characteristic factor of the first characteristic indicator of each life cycle with the corresponding preset water production growth data interval to obtain the first deviation degree of each characteristic factor of the first characteristic indicator in each life cycle, and quantify the first deviation degree to obtain multiple first values; Analyze the water growth data involved in the characteristic factor of the second characteristic indicator of each life cycle with the corresponding preset water growth data interval to obtain the second deviation degree of each characteristic factor of the second characteristic indicator in each life cycle, and quantify the second deviation degree to obtain multiple second values; The growth evaluation value of each growth cycle is obtained, including: Obtaining a first growth evaluation value for each growth cycle according to a plurality of first values ​​and second values; The first growth evaluation value is: ； in, is the first growth evaluation value, gi1 is the i-th first value, si1 is the weight coefficient of the i-th first value, a1 is the influence coefficient corresponding to the first characteristic index, n is the total number of first values, gi2 is the i-th second value, si2 is the weight coefficient of the i-th second value, a2 is the influence coefficient corresponding to the second characteristic index, and d is the total number of second values; Pre-constructing test set data for each growth cycle, and generating the credibility of the first growth evaluation value of the corresponding growth cycle according to the test set data; The number of aquatic products collected in the corresponding growth period is set according to the credibility, and the correction coefficient e of the corresponding growth period is set according to the nutritional components of the collected aquatic products; Correcting the first growth evaluation value M according to the correction coefficient e to generate a growth evaluation value m; The growth evaluation value m is: m=M*e; According to the growth evaluation value, the water growth curve corresponding to the light and heat environment is drawn, including: A plurality of growth evaluation nodes are set according to the length of each growth cycle, and a growth evaluation value at each growth evaluation node is calculated; Based on the time of the growth evaluation node, the growth evaluation values ​​of multiple growth evaluation nodes in the same growth cycle are plotted as sub-growth curve segments; The sub-growth curve segments of each growth cycle are spliced ​​in the time sequence of the growth cycle to generate the water production growth curve corresponding to the light and heat environment; According to the analysis results, the preferred aquatic species for each light and heat environment are screened out, and a light and heat environment-preferred aquatic species mapping table is constructed, including: Analyze each sub-growth curve segment in the hydroponic growth curve one by one to obtain the change trend of each sub-growth curve segment of the hydroponic growth curve; If the change trend of the sub-growth curve segment is a downward trend, the downward evaluation threshold is calculated. If the downward evaluation threshold is greater than the preset downward evaluation threshold, the water growth curve corresponding to the current sub-growth curve segment is eliminated once, and the remaining water growth curves are subjected to a second analysis; Comprehensively analyzing the sub-growth curve segments of the remaining water-generating growth curves, and obtaining growth evaluation values ​​on the sub-growth curve segments at the splicing locations of the remaining water-generating growth curves; If the adjacent growth evaluation values ​​on the sub-growth curve segments at the splicing are subtracted to obtain multiple evaluation differences at the splicing, if the evaluation difference is greater than the preset evaluation difference threshold, the water growth curve corresponding to the current sub-growth curve segment is secondary eliminated, and the remaining water growth curves constitute a normal water growth curve set; The water production growth curves in the normal water production growth curve set are divided according to the light and heat environment to obtain the water production growth curves in the same light and heat environment; Calculate the growth evaluation rate of the water growth curve of the same light and thermal environment, and set the water growth curve with a growth evaluation rate greater than a preset rate threshold as the preferred water growth curve of the current light and thermal environment; The aquatic species corresponding to the optimal aquatic growth curve is set as the optimal aquatic species for the current light and heat environment, and a light and heat environment-optimal aquatic species mapping table is constructed; Establish the objective function of maximizing photoelectric efficiency, including: The objective function for maximizing photoelectric efficiency is: ； Where P is the objective function of maximizing photoelectric efficiency, is the power generation efficiency of the Fsr-th photovoltaic array structure used in the r-th solar thermal environment where the s-th preferred aquatic species is located, and max is the maximum value symbol; The preferred reference group is determined based on the objective function of maximizing photoelectric efficiency and the photothermal environment-preferred aquatic species mapping table, including: Determine the optimal photovoltaic array structure corresponding to the photothermal environment and the preferred aquatic species in the photothermal environment-preferred aquatic species mapping table according to the objective function of maximizing photoelectric efficiency; Generate a preferred reference group according to the optimal photovoltaic array structure, the corresponding light and thermal environment, and the preferred aquatic species, and construct a mapping table of aquatic species-light and thermal environment-photovoltaic array structure according to the preferred reference group; Develop management strategies based on the aquatic species-photothermal environment-photovoltaic array structure mapping table.

2. The whole process management method of aquaculture based on fishery photovoltaic complementarity according to claim 1 is characterized in that: The number of aquatic products collected in the corresponding growth period is set according to the credibility, including: Presetting a first preset credibility interval, a second preset credibility interval, a third preset credibility interval and a fourth preset credibility interval; When the credibility is within the first preset credibility interval, the fourth preset number of collected aquatic products is selected as the current number of collected aquatic products; When the credibility is within the second preset credibility interval, the third preset number of collected aquatic products is selected as the current number of collected aquatic products; When the credibility is within the third preset credibility interval, the second preset number of collected aquatic products is selected as the current number of collected aquatic products; When the credibility is in the fourth preset credibility interval, the first preset number of collected aquatic products is selected as the current number of collected aquatic products.

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