Management method and system for relay farming of whiteleg shrimp in shed ponds based on multiple factors

Abstract

The invention relates to the technical field of agricultural breeding management, and discloses a management method and system for relay breeding of whiteleg shrimp in shed ponds based on multiple factors. The system comprises a whiteleg shrimp shed pond breeding parameter acquisition module, a whiteleg shrimp shed pond breeding pond division analysis module, and a whiteleg shrimp shed pond breeding pond division execution module. The system scientifically calculates whiteleg shrimp growth specification range parameters in a user-side shed pond breeding area based on numerical analysis, thereby providing scientific data support for realizing shed pond division breeding of whiteleg shrimp according to growth specification parameters. The system accurately matches shed pond objects required for shed pond division breeding of whiteleg shrimp in different growth specification intervals according to growth specification parameter intervals of shed pond breeding whiteleg shrimp and shed pond object information of whiteleg shrimp breeding whiteleg shrimp, accurately constructs matching information of shed pond objects of whiteleg shrimp breeding whiteleg shrimp in different growth specification intervals, realizes scientific management of shed pond breeding based on whiteleg shrimp growth specifications and shed pond quantity, and improves the scientificity and applicability of shed pond relay breeding management of whiteleg shrimp.

Description

Technical Field

[0001] The present invention relates to the technical field of agricultural breeding management, and in particular to a multi-factor based relay breeding management method and system for whiteleg shrimp in shed ponds. Background Art

[0002] Shed pond aquaculture of whiteleg shrimp is a highly efficient farming model. By utilizing the insulating properties of plastic film, early stocking and delayed harvesting are possible, enabling two off-season cropping cycles. This also prevents excessive rainwater from entering the ponds during the rainy season, significantly increasing the success rate, yield, and economic benefits of farming. Key technical aspects of whiteleg shrimp shed pond aquaculture include: 1. Shed construction: The main components of a shed include columns, beams, anchor beams, steel guy wires, plastic film, and mesh. Construction methods include "roof" and "arch" types. 2. Water quality management: Water quality management is crucial. Aquaculture water should be treated through filtration and sedimentation to ensure clarity and freedom from contamination. Regularly test water quality and take appropriate measures based on the results, such as adding beneficial bacteria and water changes, to maintain good and stable water quality. 3. Feeding: Choose feed that meets the nutritional needs of the shrimp and feed it in small, frequent batches to avoid residual sedimentation and feed waste. 4. Operating procedures: Regularly test water temperature, water quality, oxygen content, and other indicators, and keep records. 5. Disease prevention and control: Sterilize and disinfect aquaculture water regularly to prevent the growth of pathogens. Regularly check the feed and aquaculture environment to promptly detect and treat abnormal shrimp conditions. The white shrimp shed pond aquaculture management model has the advantages of easy control of the aquaculture environment, convenient management, increased production, cost savings, strong risk resistance and market adaptability. However, the existing white shrimp shed pond aquaculture management operations cannot achieve intelligent and scientific management of white shrimp shed ponds according to growth specifications based on the number of shed ponds and white shrimp growth specification parameters, nor can it achieve dynamic and efficient execution of white shrimp shed pond aquaculture mobile relay pond division operations, which reduces the yield and quality of white shrimp farming.

[0003] Chinese invention patent application publication number CN115983795A discloses a management method for pond aquaculture. By collecting static parameters of pond aquaculture, the operation point for drug administration in the pond water is scientifically determined, the amount of drug administered is scientifically measured, and the coefficient of variation is obtained at the same time. The empirical feeding method of the feed is evaluated and optimized based on the coefficient of variation, thereby realizing scientific management of the data chain of water quality, feed, growth, disease and health care in the pond aquaculture process. However, the above technical solution cannot carry out scientific and dynamic pond aquaculture based on the number of pond aquaculture and the growth status of fry, which reduces the scientific nature of the management of nursery pond aquaculture. Summary of the Invention

[0004] (1) Technical problems solved

[0005] In order to solve the problem that the above-mentioned existing white shrimp shed pond farming management operations cannot realize the intelligent and scientific management of white shrimp shed pond farming according to growth specifications based on the number of shed ponds and white shrimp growth specification parameters, and cannot realize the dynamic and efficient execution of white shrimp shed pond farming mobile relay pond division operations, which reduces the output and quality of white shrimp farming in South America, the above-mentioned purposes are to accurately collect white shrimp farming shed pond object information and white shrimp farming shed pond real-life three-dimensional model parameters, scientifically establish white shrimp shed pond farming measurement position coordinate parameters, efficiently obtain white shrimp growth status image parameters at shed pond farming measurement positions, intelligently analyze white shrimp growth specification parameters at shed pond farming measurement positions, scientifically calculate the growth specification parameter range of white shrimp farming in shed ponds, accurately match white shrimp farming shed pond objects with different growth specifications, and autonomously and efficiently execute white shrimp shed pond farming mobile relay pond division operations.

[0006] (2) Technical solution

[0007] The present invention is achieved through the following technical solution: a multi-factor-based relay farming management method for whiteleg shrimp in shed ponds, the method comprising the following steps:

[0008] S1. Collect text data of white shrimp aquaculture sheds and ponds and real-life 3D model data of white shrimp aquaculture sheds and ponds;

[0009] S2. constructing and processing coordinate parameters of sampling and measuring positions of the growth status of white shrimp in the white shrimp shed pond aquaculture area based on the three-dimensional model data of the white shrimp aquaculture shed pond, and generating coordinate data of the measurement positions of the white shrimp aquaculture shed pond;

[0010] S3, performing image acquisition and processing of the growth status of white shrimp at the sampling measurement position in the white shrimp shed pond aquaculture area according to the white shrimp shed pond aquaculture measurement position coordinate data, and generating image data of the growth status of white shrimp at the shed pond aquaculture measurement position;

[0011] S4, analyzing and processing the white shrimp growth specification parameters at the white shrimp shed pond aquaculture measurement location based on the white shrimp growth status image data at the shed pond aquaculture measurement location and the white shrimp growth status image data at different growth specifications, to generate white shrimp growth specification data at the shed pond aquaculture measurement location;

[0012] S5, performing a measurement process on the white shrimp growth specification parameter numerical intervals in the white shrimp shed pond aquaculture area based on the white shrimp growth specification data at the shed pond aquaculture measurement location to generate a white shrimp growth specification parameter interval;

[0013] S6. Performing shed pond object matching processing required for shed pond aquaculture of white shrimp in different growth specification intervals according to the growth specification parameter intervals of the shed pond aquaculture white shrimp and the shed pond object text data of the white shrimp aquaculture white shrimp, and generating shed pond object matching data for shed pond aquaculture of white shrimp in different growth specification intervals;

[0014] S7. Construct management data for mobile relay pond division of white shrimp shed pond aquaculture and execute mobile relay pond division operation of white shrimp shed pond aquaculture.

[0015] Preferably, the steps of collecting the white shrimp breeding shed pond object text data and the white shrimp breeding shed pond real scene 3D model data are as follows:

[0016] S11. Collect the characteristic text information of the white shrimp farming shed and pond object on the user side online through the data input dialog box of the white shrimp farming management platform, and generate a white shrimp farming shed and pond object text data set , ;in Indicates the The text data of white shrimp farming shed pond objects, Indicates the total number of white shrimp breeding shed ponds; the white shrimp breeding shed pond object text data includes the object number text information, area text information, breeding standard water quality text information, shape text information and depth text information of the white shrimp breeding shed pond;

[0017] The 3D laser scanner equipped with a UAV is used to scan online to collect the geographical real-scene 3D entity model parameters of the white shrimp farming shed and pond on the user side, and generate a 3D model data set of the real-scene white shrimp farming shed and pond. ,in Indicates the The real-scene three-dimensional model data of the white shrimp breeding shed pond represents the on-site real-scene three-dimensional entity model data composed of the white shrimp breeding shed pond body, breeding equipment and breeding water body in a normal breeding state.

[0018] Preferably, the coordinate parameters of the sampling and measurement positions of the white shrimp growth status in the white shrimp shed pond breeding area are constructed and processed based on the real-scene three-dimensional model data of the white shrimp breeding shed pond, and the operating steps of generating the coordinate data of the white shrimp shed pond breeding measurement positions are as follows:

[0019] S21, according to the number of white shrimp breeding sheds and ponds, the real scene three-dimensional model data set of the white shrimp breeding sheds and ponds is collected in order. The three-dimensional model data of the white shrimp farming shed pond The corresponding horizontal surface of the shed pond is divided into a plane grid with a square of side length L, and a spherical coordinate system is established with the earth as the base. The spatial coordinate parameters of the center point of the square of the horizontal surface grid of the shed pond in the spherical coordinate system are measured, and the coordinate data set matrix of the measurement position of the white shrimp shed pond aquaculture is generated. ,in Indicates the The white shrimp farming shed pond aquaculture measurement location coordinate data set corresponding to the white shrimp farming shed pond, , ; Indicates the The first one in the white shrimp farming pond The white shrimp shed pond aquaculture measurement location coordinate data corresponding to the white shrimp shed pond aquaculture measurement location, It represents the maximum value of the number of measurement locations for whiteleg shrimp shed pond farming, and the coordinate data of the measurement locations for whiteleg shrimp shed pond farming include the longitude, latitude and altitude of the measurement locations for whiteleg shrimp shed pond farming.

[0020] Preferably, the whiteleg shrimp growth status image acquisition and processing at the sampling measurement position of the whiteleg shrimp shed pond aquaculture area is performed according to the whiteleg shrimp shed pond aquaculture measurement position coordinate data, and the operation steps of generating the whiteleg shrimp growth status image data at the shed pond aquaculture measurement position are as follows:

[0021] S31, using a drone equipped with a cloud camera to measure the position coordinate data set matrix based on the white shrimp pond farming Internal white shrimp pond aquaculture measurement location coordinate data set The measurement location coordinate data of the white shrimp shed pond aquaculture According to the number of white shrimp farming shed ponds and the number of white shrimp farming measurement positions, the underwater white shrimp growth status image collection operation at the white shrimp farming measurement position is performed in order, and a white shrimp growth status image data set matrix at the shed pond farming measurement position is generated. ,in Indicates the The image data set of white shrimp growth status at the measurement location of the white shrimp farming shed corresponding to the white shrimp farming shed is as follows: , Indicates the The first one in the white shrimp farming pond The image data of the growth status of white shrimp at the shed pond aquaculture measurement location corresponding to each white shrimp shed pond aquaculture measurement location represents the common growth status image data of all white shrimps existing in the water body of the specific shed pond aquaculture measurement location.

[0022] Preferably, the white shrimp growth specification parameters at the white shrimp shed pond aquaculture measurement location are analyzed and processed based on the white shrimp growth status image data at the shed pond aquaculture measurement location and the white shrimp growth status image data at different growth specifications, and the operation steps for generating the white shrimp growth specification data at the shed pond aquaculture measurement location are as follows:

[0023] S41. Establishing a data set of images of the growth status of white shrimp of different growth specifications , ; Indicates the The image data of growth status of white shrimp of different growth specifications corresponding to the growth specification types, Indicates the maximum number of growth specification types, the growth specification type indicates the specification type of the white shrimp body length, the growth state image data of white shrimp with different growth specifications indicates the standard growth state image data corresponding to white shrimp with different growth specifications under normal shed pond culture conditions, and the unit of growth specification is centimeters;

[0024] S42, the white shrimp growth status image data set matrix of the shed pond culture measurement position Image data collection of white shrimp growth status at the measurement location of the shed pond culture inside Image data of the growth status of white shrimp at the measurement location of the shed pond aquaculture The image data sets of the growth status of white shrimps of different growth specifications are arranged in order according to the number of white shrimp farming sheds and ponds and the number of measurement locations of white shrimp farming sheds and ponds. Image data of growth status of white shrimp of different growth sizes Perform image feature matching to search for image data of the growth status of white shrimp at the measurement location of the shed pond aquaculture Matching all the white shrimp growth status image data of different growth specifications The corresponding growth specification parameters are then used to generate the white shrimp growth specification data set matrix at the measurement location of the shed pond culture after data identification. ; Execute to generate the white shrimp growth specification data set matrix of the shed pond culture measurement location The specific steps are as follows:

[0025] S421, collecting image data of growth status of whiteleg shrimp of different growth specifications The growth status image data of white shrimp with different growth specifications are searched in the search space. Initialize as a honey source ; Set honey source quantity , the current number of iterations t and the maximum number of iterations T; the image data of the growth status of white shrimp of different growth specifications nectar source Initial position , the image data of growth status of whiteleg shrimp of different growth specifications nectar source The formula for generating the initial position is as follows: In the image data set of growth status of whiteleg shrimp of different growth sizes Randomly generated in the search space, express Random numbers within and Respectively represent the growth status image data sets of white shrimp of different growth specifications Upper and lower bounds on the search space;

[0026] S422, collecting image data of growth status of whiteleg shrimp of different growth specifications The search space is the image data of the growth status of white shrimp of different growth sizes nectar source Initial position Assign employed bees, at the beginning of the search, the employed bees in the image data set of the growth status of white shrimp with different growth specifications The growth status image data of whiteleg shrimp of different growth specifications in the search space nectar source Initial position Around the position, according to the formula Search and generate the image data of growth status of whiteleg shrimp with different growth specifications New nectar source location , that is, the image data set of the growth status of white shrimp of different growth specifications Traverse and search for all the white shrimp growth status image data of different growth specifications ;in Indicates Randomly select a nectar source that is not equal to i from the nectar sources, Image data showing the growth status of white shrimp at randomly selected measurement locations in the shed pond culture Matched image data of growth status of whiteleg shrimp of different growth specifications nectar source In the image data set of growth status of whiteleg shrimp of different growth sizes The position in the search space, Represents a random number in the range [-1,1];

[0027] S423, according to the growth status image data of whiteleg shrimp of different growth specifications New nectar source location The fitness of the nectar source i is determined according to the greedy selection method, that is, the image data of the growth status of white shrimp at the measurement location of the shed pond culture is retained. Matched image data of growth status of whiteleg shrimp of different growth specifications Nectar source i;

[0028] S424, the employed bees share the nectar source i information, and the image data sets of the growth status of white shrimps of different growth specifications are collected. The following bee selects the white shrimp growth status image data at the measurement location of the shed pond aquaculture according to the probability value in the search space. Matched image data of growth status of whiteleg shrimp of different growth specifications The honey source i is searched, and the following bee is based on the image data of the growth status of white shrimp in the shed pond farming measurement location shared by the employed bee Matched image data of growth status of whiteleg shrimp of different growth specifications Nectar source i information, according to the probability formula , calculate the employed bees to find the white shrimp growth status image data at the measurement location of the shed pond aquaculture Matched image data of growth status of whiteleg shrimp of different growth specifications The probability of nectar source i being followed, where Indicates the location of a new nectar source The probability of being found and followed by hired bees, Indicates the image data of the growth status of white shrimp at the measurement location of the shed pond culture shared by the following bee according to the employed bee Matched image data of growth status of whiteleg shrimp of different growth specifications New nectar source location Adaptability;

[0029] S425, collecting image data of growth status of whiteleg shrimp of different growth specifications The follower bees in the search space use the same method as the employed bees to search, and determine the retained white shrimp growth status image data at the shed pond aquaculture measurement location based on the greedy selection method. Matched image data of growth status of whiteleg shrimp of different growth specifications Nectar source i;

[0030] S426, the scout bee collects the image data of the growth status of whiteleg shrimp of different growth specifications During the random search process of the search space, if the image data of the growth status of white shrimp with different growth specifications Initial location of nectar source i After t iterations of searching, the iteration threshold is reached. No better image data of the growth status of white shrimp in the shed pond culture measurement location was found Matched image data of growth status of whiteleg shrimp of different growth specifications Nectar source i, image data of the growth status of whiteleg shrimp of different growth sizes Initial location of nectar source i The bees will be abandoned, and the corresponding employed bees will become scout bees. The calculation formula for the location of new nectar sources randomly generated by scout bees in the search space is as follows:

[0031] ,in Indicates New nectar sources are generated after iterations In the image data set of growth status of whiteleg shrimp of different growth sizes The location of the search space, Indicates After the iteration, the image data of the growth status of white shrimp at the measurement location of the shed pond culture is generated. Matched image data of growth status of whiteleg shrimp of different growth specifications New honey source In the image data set of growth status of whiteleg shrimp of different growth sizes Position in the search space;

[0032] S427, when the maximum search iteration number T is met, output the image data of the growth status of white shrimp at the measurement location of the shed pond culture Matching all the white shrimp growth status image data of different growth specifications The corresponding growth specification parameters are then used to generate the white shrimp growth specification data set matrix at the measurement location of the shed pond culture after data identification. ,in Indicates the The white shrimp growth specification data set of the measurement location of the white shrimp farming shed pond corresponding to the white shrimp farming shed pond, , Indicates the The first one in the white shrimp farming pond The whiteleg shrimp growth specification data at the shed pond aquaculture measurement location corresponding to the whiteleg shrimp shed pond aquaculture measurement location represents the growth specification data set of all whiteleg shrimps existing in the water body of the specific shed pond aquaculture measurement location; The unit is centimeters.

[0033] Preferably, the steps of performing numerical interval measurement processing of the white shrimp growth specification parameter of the white shrimp shed pond aquaculture area based on the white shrimp growth specification data of the shed pond aquaculture measurement location to generate the white shrimp growth specification parameter interval of the shed pond aquaculture are as follows:

[0034] S51, using the KD tree nearest neighbor search algorithm according to the number of white shrimp farming shed ponds and the number of white shrimp farming measurement locations in the shed pond farming measurement location white shrimp growth specification data set matrix Collection of white shrimp growth specification data at the internal shed pond culture measurement location The growth specification data of white shrimp at the measurement location of the shed pond culture The white shrimp growth specification parameters were numerically analyzed, and the white shrimp growth specification data set matrix at the measurement location of the shed pond was used. Search for the white shrimp growth specification data at the shed pond aquaculture measurement location with the largest value The growth specification data of white shrimp at the measurement location of the shed pond culture with the smallest value , and generate the growth specification parameter range of white shrimp cultured in shed ponds through data identification ,in Indicates the growth specification parameter range of the white shrimp cultured in the shed pond The minimum growth parameters of white shrimp cultured in shed ponds are as follows: Indicates the growth specification parameter range of the white shrimp cultured in the shed pond The maximum growth parameters of white shrimp cultured in shed ponds are as follows: and The unit is centimeters.

[0035] Preferably, the steps of performing shed pond object matching processing required for shed pond aquaculture of white shrimp in different growth specification intervals according to the growth specification parameter intervals of white shrimp aquaculture in shed ponds and the white shrimp aquaculture shed pond object text data, and generating shed pond object matching data of white shrimp aquaculture in different growth specification intervals are as follows:

[0036] S61, the growth specification parameter interval of the white shrimp cultured in the shed pond The minimum growth parameters of white shrimp cultured in shed ponds and the maximum growth parameters of white shrimp cultured in the shed pond Perform numerical subtraction and absolute value processing to measure the growth size difference of white shrimp cultured in greenhouse ponds ,in , The unit is centimeters;

[0037] S62, the growth specification difference of the white shrimp cultured in the shed pond A text data set related to the white shrimp farming pond object Total number of whiteleg shrimp farming ponds Perform numerical quotient processing to generate the growth specification division value of white shrimp shed pond culture , and combined with the growth specification parameter range of white shrimp cultured in the shed pond The minimum growth parameters of white shrimp cultured in shed ponds and the maximum growth parameters of white shrimp cultured in the shed pond Carry out numerical processing of the growth specification parameter intervals of white shrimp in the white shrimp shed pond culture, and measure the growth specification interval set of the white shrimp shed pond culture ,in Indicates the The growth specification range of white shrimp farming ponds corresponding to the white shrimp farming ponds is as follows: , , ;in The unit is centimeters;

[0038] S63, using a unified cost search algorithm to set the growth specification intervals of the white shrimp shed pond culture The growth specification range of white shrimp in the shed pond culture A text data set related to the white shrimp farming pond object Text data of the white shrimp farming shed pond object described in Perform character matching on the number of white shrimp farming shed ponds to search for the growth specification interval of the white shrimp farming shed ponds The corresponding white shrimp breeding shed pond object text data , and generate matching data sets of white shrimp farming shed pond objects in different growth specification intervals through data identification ,in Indicates the growth specification range of the white shrimp farmed in the pond The corresponding white shrimp farming shed pond object matching data of different growth specification intervals, the white shrimp farming shed pond object matching data of different growth specification intervals represents the characteristic text information of the shed pond object corresponding to the white shrimp farming placement in different growth specification parameter intervals of the white shrimp shed pond farming operation.

[0039] Preferably, the steps of constructing the mobile relay pond division management data for white shrimp shed pond aquaculture and executing the mobile relay pond division operation for white shrimp shed pond aquaculture are as follows:

[0040] S71, the white shrimp shed pond culture pond growth specification interval collection and the matching data set of white shrimp farming shed pond objects in different growth specification intervals Combine data to construct mobile relay pond management data for white shrimp shed pond farming ,in ;

[0041] S72, the white shrimp farming management platform is based on the white shrimp shed pond farming mobile relay pond management data The growth specification range of white shrimp farmed in shed ponds is as follows The growth specification range of the white shrimp farming pond and the matching data set of white shrimp farming shed pond objects in different growth specification intervals Matching data of white shrimp farming shed pond objects in different growth specification intervals The white shrimp specification screening equipment is controlled to transfer white shrimps of different specifications in the shed pond farming area to the designated shed pond target pool to perform the mobile relay pond division operation of white shrimp shed pond farming. The white shrimp specification screening equipment includes any one of a 12-roller shrimp grader, an 18-roller grader and an electric screening machine.

[0042] A multi-factor-based whiteleg shrimp shed pond relay aquaculture management system, used to implement the multi-factor-based whiteleg shrimp shed pond relay aquaculture management method, the system includes a whiteleg shrimp shed pond aquaculture parameter collection module, a whiteleg shrimp shed pond aquaculture pond analysis module, and a whiteleg shrimp shed pond aquaculture pond execution module;

[0043] The white shrimp shed pond breeding parameter acquisition module includes a white shrimp shed pond breeding object information acquisition unit, a white shrimp shed pond breeding real-scene three-dimensional model acquisition unit, a white shrimp shed pond breeding measurement position coordinate construction unit, and a white shrimp growth status image acquisition unit at the shed pond breeding measurement position;

[0044] The white shrimp breeding shed pond object information acquisition unit collects white shrimp breeding shed pond object text data through the white shrimp breeding shed pond data input dialog box of the white shrimp breeding management platform; the white shrimp breeding shed pond real scene three-dimensional model acquisition unit collects white shrimp breeding shed pond real scene three-dimensional model data through the unmanned aerial vehicle equipped with a three-dimensional laser scanner; the white shrimp breeding shed pond breeding measurement position coordinate construction unit constructs and processes the coordinate parameters of the white shrimp growth status sampling and measurement position in the white shrimp breeding shed pond breeding area based on the white shrimp breeding shed pond real scene three-dimensional model data, and generates white shrimp breeding shed pond breeding measurement position coordinate data; the white shrimp growth status image acquisition unit of the shed pond breeding measurement position collects and processes the white shrimp growth status image of the sampling and measurement position in the white shrimp breeding shed pond breeding area based on the white shrimp breeding shed pond breeding measurement position coordinate data in combination with the unmanned aerial vehicle equipped with a cloud camera, and generates white shrimp growth status image data of the shed pond breeding measurement position;

[0045] The white shrimp shed pond farming pond analysis module includes a white shrimp growth state image storage unit of different growth specifications, a white shrimp growth specification parameter analysis unit of shed pond farming measurement position, a white shrimp growth specification parameter interval measurement unit of shed pond farming, and a white shrimp shed pond object matching unit of different growth specifications;

[0046] The white shrimp growth state image storage unit with the same growth specification is used to store the growth state image data of white shrimps with different growth specifications; the white shrimp growth specification parameter analysis unit at the shed pond farming measurement position performs white shrimp growth specification parameter analysis processing at the white shrimp shed pond farming measurement position based on the white shrimp growth state image data at the shed pond farming measurement position and the white shrimp growth state image data with different growth specifications, and generates white shrimp growth specification data at the shed pond farming measurement position; the white shrimp growth specification parameter interval measurement unit at the shed pond farming measurement position performs white shrimp growth specification parameter numerical interval measurement processing in the white shrimp shed pond farming area according to the white shrimp growth specification data at the shed pond farming measurement position, and generates white shrimp growth specification parameter intervals for shed pond farming; the white shrimp shed pond object matching unit with different growth specifications performs shed pond object matching processing required for shed pond farming of white shrimps with different growth specification intervals according to the white shrimp growth specification parameter intervals and the white shrimp shed pond object text data, and generates white shrimp shed pond object matching data for different growth specification intervals;

[0047] The white shrimp shed pond aquaculture pond division execution module includes a white shrimp shed pond aquaculture pond division information construction unit and a white shrimp shed pond aquaculture mobile relay pond division operation execution unit;

[0048] The white shrimp shed pond farming information construction unit is used to construct the white shrimp shed pond farming mobile relay pond division management data; the white shrimp shed pond farming mobile relay pond division operation execution unit, the white shrimp farming management platform performs the white shrimp shed pond farming mobile relay pond division operation based on the white shrimp shed pond farming mobile relay pond division management data combined with the white shrimp specification screening equipment.

[0049] (3) Beneficial effects

[0050] The present invention provides a multi-factor-based relay farming management method and system for whiteleg shrimp in shed ponds. It has the following beneficial effects:

[0051] 1. Through the data input dialog box of the white shrimp farming management platform and the 3D laser scanner equipped by the drone, the text information of the white shrimp farming shed pond objects and the parameters of the real-life 3D model of the white shrimp farming shed ponds are accurately collected online, providing reliable data for the scientific collection of the growth specification parameters of white shrimp farmed in the shed ponds; based on the parameters of the real-life 3D model of the white shrimp farming shed ponds and combined with numerical analysis, the coordinate parameters of the white shrimp farming measurement position in the shed ponds are scientifically constructed, and combined with the cloud camera equipped by the drone, the image information of the growth status of white shrimp at the measurement position in the shed ponds is accurately collected, realizing the grid-based point-to-point scientific collection of the image parameters of the growth status of white shrimp at the measurement position in the shed ponds, and improving the digitalization and intelligence of the relay farming management of white shrimp farmed in the shed ponds.

[0052] 2. By combining the growth status image information of white shrimp of different growth specifications stored in big data with intelligent recognition algorithms and the growth status image information of white shrimp at the measurement location of shed pond farming, efficient and accurate analysis of the growth specification parameters of white shrimp at the measurement location of white shrimp shed pond farming is carried out, so as to achieve comprehensive and scientific acquisition of white shrimp growth specification information of different shed pond objects in the entire shed pond farming area, and improve the quality of shed pond relay farming management of white shrimp from South America; based on numerical analysis, scientific statistics of white shrimp growth specification range parameters in the shed pond farming area on the user side are obtained, providing scientific data support for the realization of shed pond farming of white shrimp according to growth specification parameters; according to the growth specification parameter range of white shrimp in shed pond farming and the information of white shrimp shed pond farming objects, accurate matching of shed pond objects required for shed pond farming of white shrimp in different growth specification ranges is carried out, and accurate matching information of white shrimp shed pond objects in different growth specification ranges is constructed, so as to achieve scientific management of shed pond farming based on white shrimp growth specifications and shed pond quantity, and improve the scientificity and applicability of shed pond relay farming management of white shrimp from South America.

[0053] 3. By constructing the mobile relay pond management data of white shrimp shed pond farming based on the growth specification range of white shrimp in shed ponds and the corresponding shed pond object information, timely online collection and processing of white shrimp shed pond farming management information can be achieved, thereby improving the reliability of white shrimp shed pond relay farming management; the white shrimp farming management platform can independently and dynamically execute the mobile relay pond management operation of white shrimp shed pond farming based on the white shrimp shed pond farming mobile relay pond management information combined with the white shrimp specification screening equipment, thereby improving the quality and output of white shrimp shed pond relay farming management. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] Figure 1 A schematic diagram of a module for the multi-factor-based relay farming management system for whiteleg shrimp in shed ponds provided by the present invention;

[0055] Figure 2 The present invention provides a flow chart of the multi-factor based relay farming management method for whiteleg shrimp in shed ponds. DETAILED DESCRIPTION

[0056] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0057] The embodiments of the multi-factor-based whiteleg shrimp shed pond relay farming management method and system are as follows: Example

[0058] See also Figure 1 - Figure 2A multi-factor-based relay farming management method for whiteleg shrimp in shed ponds comprises the following steps:

[0059] S1. Collect text data of white shrimp aquaculture sheds and ponds and real-life 3D model data of white shrimp aquaculture sheds and ponds;

[0060] S2. constructing and processing the coordinate parameters of the sampling and measurement positions of the white shrimp growth status in the white shrimp shed and pond aquaculture area based on the real-life three-dimensional model data of the white shrimp shed and pond, and generating the coordinate data of the measurement positions of the white shrimp shed and pond aquaculture;

[0061] S3, performing image acquisition and processing of the growth status of white shrimp at the sampling measurement position in the white shrimp shed pond aquaculture area according to the white shrimp shed pond aquaculture measurement position coordinate data, and generating image data of the growth status of white shrimp at the shed pond aquaculture measurement position;

[0062] S4. Analyzing and processing the growth specification parameters of whiteleg shrimp at the measurement location of shed pond aquaculture based on the image data of whiteleg shrimp growth status at the measurement location of shed pond aquaculture and the image data of whiteleg shrimp growth status at different growth specifications, and generating the growth specification data of whiteleg shrimp at the measurement location of shed pond aquaculture;

[0063] S5. performing numerical interval measurement processing on the growth specification parameters of white shrimp in the white shrimp shed pond aquaculture area based on the white shrimp growth specification data at the measurement location of the shed pond aquaculture to generate the growth specification parameter interval of white shrimp in the shed pond aquaculture area;

[0064] S6. Performing shed pond object matching processing required for shed pond aquaculture of whiteleg shrimp in different growth specification intervals according to the growth specification parameter intervals of shed pond aquaculture whiteleg shrimp and the shed pond object text data of whiteleg shrimp aquaculture whiteleg shrimp, and generating shed pond object matching data for shed pond aquaculture whiteleg shrimp in different growth specification intervals;

[0065] S7. Construct management data for mobile relay pond division of white shrimp shed pond aquaculture and execute mobile relay pond division operation of white shrimp shed pond aquaculture.

[0066] For further information, see Figure 1 - Figure 2 The steps for collecting the text data of white shrimp farming sheds and ponds and the real-life 3D model data of white shrimp farming sheds and ponds are as follows:

[0067] S11. Collect the characteristic text information of the white shrimp farming shed and pond object on the user side online through the data input dialog box of the white shrimp farming management platform, and generate a white shrimp farming shed and pond object text data set , ;in Indicates the The text data of white shrimp farming shed pond objects, Indicates the total number of white shrimp farming shed ponds; white shrimp farming shed pond object text data includes the white shrimp farming shed pond object number text information, area text information, farming standard water quality text information, shape text information and depth text information;

[0068] The 3D laser scanner equipped with a UAV is used to scan online to collect the geographical real-scene 3D entity model parameters of the white shrimp farming shed and pond on the user side, and generate a 3D model data set of the real-scene white shrimp farming shed and pond. ,in Indicates the The real-scene three-dimensional model data of the white shrimp breeding shed pond represents the on-site real-scene three-dimensional entity model data of the white shrimp breeding shed pond in a normal breeding state, including the shed body, breeding equipment and breeding water body.

[0069] The steps for constructing and processing the coordinate parameters of the sampling and measurement locations of the white shrimp growth status in the white shrimp shed pond aquaculture area based on the real-life three-dimensional model data of the white shrimp shed pond aquaculture area and generating the coordinate data of the white shrimp shed pond aquaculture measurement locations are as follows:

[0070] S21. Data collection of the three-dimensional model of the white shrimp farming sheds and ponds in order of number. Realistic 3D model data of whiteleg shrimp farming shed pond The corresponding horizontal surface of the shed pond is divided into a plane grid with a square of side length L, and a spherical coordinate system is established with the earth as the base. The spatial coordinate parameters of the center point of the square of the horizontal surface grid of the shed pond in the spherical coordinate system are measured, and the coordinate data set matrix of the measurement position of the white shrimp shed pond aquaculture is generated. ,in Indicates the The white shrimp farming shed pond aquaculture measurement location coordinate data set corresponding to the white shrimp farming shed pond, , ; Indicates the The first one in the white shrimp farming pond The white shrimp shed pond aquaculture measurement location coordinate data corresponding to the white shrimp shed pond aquaculture measurement location, It represents the maximum number of measurement locations for whiteleg shrimp shed pond farming. The coordinate data of the measurement locations for whiteleg shrimp shed pond farming include the longitude, latitude and altitude of the measurement locations.

[0071] The steps for collecting and processing images of the growth status of white shrimp at the sampling measurement locations in the white shrimp shed pond aquaculture area based on the measurement location coordinate data of the white shrimp shed pond aquaculture area are as follows:

[0072] S31, using the cloud camera on the drone to measure the location coordinate data set matrix based on the white shrimp pond farming Internal white shrimp pond aquaculture measurement location coordinate data collection Measurement location coordinate data of white shrimp pond farming in According to the number of white shrimp farming shed ponds and the number of white shrimp farming measurement positions, the underwater white shrimp growth status image collection operation at the white shrimp farming measurement position is performed in order, and a white shrimp growth status image data set matrix at the shed pond farming measurement position is generated. ,in Indicates the The image data set of white shrimp growth status at the measurement location of the white shrimp farming shed corresponding to the white shrimp farming shed is as follows: , Indicates the The first one in the white shrimp farming pond The image data of the growth status of white shrimp at the shed pond aquaculture measurement location corresponds to each white shrimp shed pond aquaculture measurement location. The image data of the growth status of white shrimp at the shed pond aquaculture measurement location represents the common growth status image data of all white shrimps existing in the water body of the specific shed pond aquaculture measurement location.

[0073] Through the cooperation of the white shrimp farming pond object information collection unit and the white shrimp farming pond real-life 3D model collection unit, the data input dialog box of the white shrimp farming management platform and the drone-mounted 3D laser scanner are used to accurately collect the white shrimp farming pond object text information and the white shrimp farming pond real-life 3D model parameters online, providing reliable data for the scientific collection of growth specification parameters of white shrimp farmed in the ponds; the white shrimp farm pond farming measurement position coordinate construction unit and the farm pond farming measurement position white shrimp growth status image collection unit cooperate with each other, and scientifically construct the white shrimp farm pond farming measurement position coordinate parameters based on the white shrimp farm pond real-life 3D model parameters combined with numerical analysis, and combine with the drone-mounted cloud camera to accurately collect the white shrimp growth status image information at the farm pond farming measurement position, realizing grid point-to-point scientific collection of white shrimp growth status image parameters at the farm pond farming measurement position, and improving the digitalization and intelligence of the relay farming management of white shrimp farms in the ponds.

[0074] For further information, see Figure 1 - Figure 2 Based on the image data of the growth status of whiteleg shrimp at the measurement location of shed pond aquaculture and the image data of the growth status of whiteleg shrimp of different growth specifications, the growth specification parameters of whiteleg shrimp at the measurement location of shed pond aquaculture are analyzed and processed, and the operation steps for generating the growth specification data of whiteleg shrimp at the measurement location of shed pond aquaculture are as follows:

[0075] S41. Establishing a data set of images of the growth status of white shrimp of different growth specifications , ; Indicates the The image data of growth status of white shrimp of different growth specifications corresponding to the growth specification types, Indicates the maximum number of growth specification types, the growth specification type indicates the specification type of white shrimp body length, the growth status image data of white shrimp of different growth specifications indicates the standard growth status image data corresponding to white shrimp of different growth specifications under normal shed pond culture conditions, and the unit of growth specification is centimeter;

[0076] S42, the white shrimp growth status image data set matrix of the shed pond aquaculture measurement location Image data collection of white shrimp growth status at internal shed pond aquaculture measurement locations Image data of white shrimp growth status at the measurement location of shed pond aquaculture A dataset of image data of white shrimp growth status with different growth sizes, ordered by the number of white shrimp farming sheds and ponds and the number of measurement locations of white shrimp farming sheds and ponds. Image data of growth status of white shrimp of different growth sizes Perform image feature matching to search for image data of white shrimp growth status at the measurement location of the shed pond aquaculture Matched image data of growth status of all white shrimps of different growth sizes The corresponding growth specification parameters are then used to generate the white shrimp growth specification data set matrix at the measurement location of the shed pond culture after data identification. ; Execute the generation of white shrimp growth specification data set matrix at the measurement location of shed pond farming The specific steps are as follows:

[0077] S421, image data set of growth status of white shrimp in different growth sizes The growth status image data of white shrimp with different growth sizes are collected in the search space Initialize as a honey source ; Set honey source quantity , the current number of iterations t and the maximum number of iterations T; image data of the growth status of white shrimp of different growth specifications nectar source Initial position , image data of growth status of white shrimp of different growth sizes nectar source The formula for generating the initial position is as follows: Image data collection of growth status of white shrimp in different growth sizes Randomly generated in the search space, express Random numbers within and Represents the image data sets of the growth status of white shrimp of different growth sizes Upper and lower bounds on the search space;

[0078] S422, image data set of growth status of white shrimp in different growth sizes The search space contains image data of the growth status of white shrimp of different growth sizes. nectar source Initial position Assign employed bees. At the beginning of the search, employed bees collect image data of white shrimp growth status in different growth sizes. Image data of growth status of white shrimp with different growth sizes in the search space nectar source Initial position Around the position, according to the formula Search and generate image data of the growth status of white shrimp of different growth sizes New nectar source location , that is, the image data set of the growth status of white shrimp in different growth sizes Traverse and search for all the image data of the growth status of white shrimp with different growth specifications ;in Indicates Randomly select a nectar source that is not equal to i from the nectar sources, Represents image data of the growth status of white shrimp at randomly selected and measured locations in shed ponds Matching image data of white shrimp growth status of different growth sizes nectar source Image data collection of growth status of white shrimp in different growth sizes The position in the search space, Represents a random number in the range [-1,1];

[0079] S423, image data of growth status of white shrimp of different growth specifications New nectar source location The fitness of the nectar source i is determined by the greedy selection method, that is, the image data of the growth status of white shrimp at the measurement location of the shed pond culture is retained. Matching image data of white shrimp growth status of different growth sizes Nectar source i;

[0080] S424, employed bees share nectar source i information, and image data sets of white shrimp growth status in different growth sizes The following bee selects the white shrimp growth status image data at the measurement location of the shed pond aquaculture according to the probability value in the search space Matching image data of white shrimp growth status of different growth sizes Search for nectar source i, follow the bee according to the image data of white shrimp growth status shared by the employed bees and the measurement location of the shed pond aquaculture Matching image data of white shrimp growth status of different growth sizes Nectar source i information, according to the probability formula , calculate the employed bees to find the white shrimp growth status image data at the measurement location of the shed pond aquaculture Matching image data of white shrimp growth status of different growth sizes The probability of nectar source i being followed, where Indicates the location of a new nectar source The probability of being found and followed by hired bees, Indicates the image data of the growth status of white shrimp in the shed pond farming location shared by the employed bees by the following bees Matching image data of white shrimp growth status of different growth sizes New nectar source location Adaptability;

[0081] S425, image data set of growth status of white shrimp in different growth sizes The follower bees in the search space use the same method as the employed bees to search, and the retained white shrimp growth status image data at the measurement location of the shed pond culture is determined based on the greedy selection method. Matching image data of white shrimp growth status of different growth sizes Nectar source i;

[0082] S426, Scout bee growth status image data set of white shrimp in different growth sizes During the random search process of the search space, if the image data of the growth status of white shrimp with different growth specifications Initial location of nectar source i After t iterations of searching, the iteration threshold is reached. No better image data of white shrimp growth status was found for the measurement location of shed pond aquaculture Matching image data of white shrimp growth status of different growth sizes Nectar source i, image data of the growth status of white shrimp of different growth sizes Initial location of nectar source i The bees will be abandoned, and the corresponding employed bees will become scout bees. The calculation formula for the location of new nectar sources randomly generated by scout bees in the search space is as follows:

[0083] ,in Indicates New nectar sources are generated after iterations Image data collection of growth status of white shrimp in different growth sizes The location of the search space, Indicates After the iteration, the image data of the growth status of white shrimp at the measurement location of the shed pond culture is generated. Matching image data of white shrimp growth status of different growth sizes New honey source Image data collection of growth status of white shrimp in different growth sizes Position in the search space;

[0084] S427, when the maximum number of search iterations T is met, output the image data of the growth status of white shrimp at the measurement location of the shed pond aquaculture Matched image data of growth status of all white shrimps of different growth sizes The corresponding growth specification parameters are then used to generate the white shrimp growth specification data set matrix at the measurement location of the shed pond culture after data identification. ,in Indicates the The white shrimp growth specification data set of the measurement location of the white shrimp farming shed pond corresponding to the white shrimp farming shed pond, , Indicates the The first one in the white shrimp farming pond The white shrimp growth specification data at the shed pond aquaculture measurement location corresponding to the white shrimp shed pond aquaculture measurement location represents the growth specification data set of all white shrimp existing in the water body of the specific shed pond aquaculture measurement location; The unit is centimeters.

[0085] Based on the white shrimp growth specification data of the measurement location of the shed pond culture, the numerical interval measurement processing of the white shrimp growth specification parameter in the shed pond culture area is performed. The operation steps for generating the growth specification parameter interval of the white shrimp cultured in the shed pond are as follows:

[0086] S51, using the KD tree nearest neighbor search algorithm according to the number of white shrimp farming shed ponds and the number of white shrimp farming measurement locations in the shed pond farming measurement location white shrimp growth specification data set matrix Internal shed pond culture measurement location white shrimp growth specification data collection Growth and size data of white shrimp at the measurement location of the middle pair of shed ponds Numerical analysis of white shrimp growth specification parameters was conducted, and the white shrimp growth specification data set matrix was collected at the measurement location of the shed pond culture. Search for the largest value of the white shrimp growth specification data at the shed pond aquaculture measurement location The growth specification data of white shrimp at the measurement location of the shed pond culture with the smallest value , and generate the growth specification parameter range of white shrimp cultured in shed ponds through data identification ,in Indicates the growth specification parameter range of white shrimp cultured in shed ponds Minimum growth parameters for white shrimp cultured in medium-shed ponds: Indicates the growth specification parameter range of white shrimp cultured in shed ponds The maximum growth parameters of white shrimp cultured in medium-shed ponds include and The unit is centimeters.

[0087] Based on the growth specification parameter intervals of whiteleg shrimp cultured in shed ponds and the text data of whiteleg shrimp culture shed pond objects, the shed pond objects required for culturing whiteleg shrimp in different growth specification intervals are matched. The steps for generating the matching data of whiteleg shrimp culture shed pond objects in different growth specification intervals are as follows:

[0088] S61. The growth parameter range of white shrimp cultured in shed ponds Minimum growth parameters for white shrimp cultured in medium-shed ponds Maximum growth parameters of white shrimp cultured in shed ponds Perform numerical subtraction and absolute value processing to measure the growth size difference of white shrimp cultured in greenhouse ponds ,in , The unit is centimeters;

[0089] S62, the difference in growth size of white shrimp cultured in shed ponds White shrimp farming shed pond object text data collection Total number of whiteleg shrimp farming ponds Perform numerical quotient processing to generate the growth specification division value of white shrimp shed pond culture , and combined with the growth parameter range of white shrimp cultured in shed ponds Minimum growth parameters for white shrimp cultured in medium-shed ponds Maximum growth parameters of white shrimp cultured in shed ponds Carry out numerical processing of the growth specification parameter intervals of white shrimp in the white shrimp shed pond culture, and measure the growth specification interval set of the white shrimp shed pond culture ,in Indicates the The growth specification range of white shrimp farming ponds corresponding to the white shrimp farming ponds is as follows: , , ;in The unit is centimeters;

[0090] S63, using the unified cost search algorithm to divide the growth specification intervals of white shrimp shed ponds into groups Growth specification range of white shrimp culture in shed ponds White shrimp farming shed pond object text data collection Text data of whiteleg shrimp farming shed pond object Perform character matching on the number of white shrimp farming shed ponds and search for the growth specification range of white shrimp farming shed ponds Corresponding white shrimp farming shed pond object text data , and generate matching data sets of white shrimp farming shed pond objects in different growth specification intervals through data identification ,in Indicates the growth specification range of white shrimp in shed pond culture The corresponding white shrimp farming shed pond object matching data of different growth specification intervals represents the characteristic text information of the white shrimp corresponding to the farming shed pond objects of different growth specification parameter intervals in the white shrimp farming shed pond division operation.

[0091] Through the cooperation of the growth status image storage unit of white shrimp with the same growth specifications and the white shrimp growth specification parameter analysis unit at the shed pond farming measurement position, the growth status image information of white shrimp with different growth specifications based on big data storage is combined with the intelligent recognition algorithm and the white shrimp growth status image information at the shed pond farming measurement position to perform efficient and accurate analysis of the white shrimp growth specification parameters at the shed pond farming measurement position, so as to achieve comprehensive and scientific acquisition of white shrimp growth specification information of different shed pond objects in the entire shed pond farming area, and improve the quality of relay farming management of white shrimp in shed ponds; the growth specification parameter interval measurement unit of white shrimp in shed ponds is based on the scientific numerical analysis Statistics are compiled on the user side of the shed pond farming area for the growth specification range parameters of white shrimp, providing scientific data support for the realization of shed pond farming of white shrimp according to growth specification parameters; the shed pond object matching unit for white shrimp farming with different growth specifications accurately matches the shed pond objects required for shed pond farming of white shrimp with different growth specification ranges according to the growth specification parameter range of white shrimp farming in shed ponds and the object information of white shrimp farming shed ponds, accurately constructs the shed pond object matching information for white shrimp farming with different growth specification ranges, realizes scientific management of shed pond farming based on the growth specification of white shrimp and the number of shed ponds, and improves the scientificity and applicability of the relay farming management of white shrimp in shed ponds.

[0092] For further information, see Figure 1 - Figure 2 The steps for constructing the management data of mobile relay pond division for white shrimp shed pond aquaculture and executing the mobile relay pond division operation for white shrimp shed pond aquaculture are as follows:

[0093] S71. Assemble the growth specification intervals of white shrimp farming in shed ponds Matching data sets with white shrimp farming shed pond objects in different growth size ranges Combine data to construct mobile relay pond management data for white shrimp shed pond farming ,in ;

[0094] S72, white shrimp farming management platform based on white shrimp shed pond farming mobile relay pond management data Growth specification range collection of white shrimp farming in shed ponds Growth specification range of white shrimp culture in shed ponds Matching data sets with white shrimp farming shed pond objects in different growth size ranges Matching data of white shrimp farming shed pond objects in different growth size ranges The white shrimp specification screening equipment is controlled to transfer white shrimps of different specifications in the shed pond farming area to the designated shed pond target pool to perform the mobile relay pond division operation of white shrimp shed pond farming. The white shrimp specification screening equipment includes any one of a 12-roller shrimp grader, an 18-roller grader and an electric screening machine.

[0095] Through the collaboration between the whiteleg shrimp shed pond aquaculture sub-pond information construction unit and the whiteleg shrimp shed pond aquaculture mobile relay sub-pond operation execution unit, whiteleg shrimp shed pond aquaculture mobile relay sub-pond management data is constructed based on the whiteleg shrimp growth size range and corresponding shed pond object information. This enables timely online collection and processing of whiteleg shrimp shed pond aquaculture sub-pond management information, improving the reliability of whiteleg shrimp shed pond aquaculture relay management. The whiteleg shrimp shed pond aquaculture mobile relay sub-pond operation execution unit, based on whiteleg shrimp shed pond aquaculture mobile relay sub-pond management information and whiteleg shrimp size screening equipment, autonomously and dynamically executes whiteleg shrimp shed pond aquaculture mobile relay sub-pond operations, thereby improving the quality and yield of whiteleg shrimp shed pond aquaculture relay management.

[0096] Example 2:

[0097] See also Figure 1 - Figure 2 The multi-factor-based relay farming management system for whiteleg shrimp in shed ponds is used to implement a multi-factor-based relay farming management method for whiteleg shrimp in shed ponds. The system includes a whiteleg shrimp shed pond farming parameter collection module, a whiteleg shrimp shed pond farming division analysis module, and a whiteleg shrimp shed pond farming division execution module.

[0098] The white shrimp shed pond aquaculture parameter acquisition module includes a white shrimp shed pond object information acquisition unit, a white shrimp shed pond real scene 3D model acquisition unit, a white shrimp shed pond aquaculture measurement position coordinate construction unit, and a white shrimp growth status image acquisition unit at the shed pond aquaculture measurement position;

[0099] a white shrimp farming shed pond object information collection unit, which collects white shrimp farming shed pond object text data through the white shrimp farming management platform data input dialog box; a white shrimp farming shed pond real scene 3D model collection unit, which collects white shrimp farming shed pond real scene 3D model data through a drone-mounted 3D laser scanner; a white shrimp farming shed pond breeding measurement position coordinate construction unit, which constructs and processes the coordinate parameters of the white shrimp growth status sampling and measurement position in the white shrimp farming shed pond breeding area based on the white shrimp farming shed pond real scene 3D model data, and generates white shrimp farming shed pond breeding measurement position coordinate data; a white shrimp growth status image collection unit at the shed pond breeding measurement position, which collects and processes white shrimp growth status images at the sampling and measurement position in the white shrimp farming shed pond breeding area based on the white shrimp farming shed pond breeding measurement position coordinate data and the drone-mounted cloud camera, and generates white shrimp growth status image data at the shed pond breeding measurement position;

[0100] The white shrimp shed pond aquaculture pond analysis module includes a white shrimp growth status image storage unit of different growth specifications, a white shrimp growth specification parameter analysis unit of shed pond aquaculture measurement position, a white shrimp growth specification parameter interval measurement unit, and a white shrimp shed pond object matching unit of different growth specifications;

[0101] The same growth specification white shrimp growth status image storage unit is used to store the growth status image data of white shrimps with different growth specifications; the white shrimp growth specification parameter analysis unit at the shed pond farming measurement position performs white shrimp growth specification parameter analysis at the shed pond farming measurement position based on the white shrimp growth status image data at the shed pond farming measurement position and the white shrimp growth status image data with different growth specifications, and generates the white shrimp growth specification data at the shed pond farming measurement position; the shed pond farming white shrimp growth specification parameter interval measurement unit performs white shrimp growth specification parameter numerical interval measurement processing in the shed pond farming area based on the white shrimp growth specification data at the shed pond farming measurement position, and generates the shed pond farming white shrimp growth specification parameter interval; the different growth specifications white shrimp farming shed pond object matching unit performs shed pond object matching processing required for shed pond farming of white shrimps with different growth specification intervals based on the shed pond farming white shrimp growth specification parameter interval and the white shrimp farming shed pond object text data, and generates shed pond object matching data for shed pond farming of white shrimps with different growth specification intervals;

[0102] The white shrimp shed pond aquaculture pond division execution module includes a white shrimp shed pond aquaculture pond division information construction unit and a white shrimp shed pond aquaculture mobile relay pond division operation execution unit;

[0103] The white shrimp shed pond farming information construction unit is used to construct the white shrimp shed pond farming mobile relay pond management data; the white shrimp shed pond farming mobile relay pond division operation execution unit, the white shrimp farming management platform executes the white shrimp shed pond farming mobile relay pond division operation based on the white shrimp shed pond farming mobile relay pond division management data combined with the white shrimp specification screening equipment.

[0104] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. A multi-factor-based relay farming management method for whiteleg shrimp in shed ponds, characterized in that: The method comprises the following steps: S1. Collect text data of white shrimp aquaculture sheds and ponds and real-life 3D model data of white shrimp aquaculture sheds and ponds; S2. constructing and processing coordinate parameters of sampling and measuring positions of the growth status of white shrimp in the white shrimp shed pond aquaculture area based on the three-dimensional model data of the white shrimp aquaculture shed pond, and generating coordinate data of the measurement positions of the white shrimp aquaculture shed pond; S3, performing image acquisition and processing of the growth status of white shrimp at the sampling measurement position in the white shrimp shed pond aquaculture area according to the white shrimp shed pond aquaculture measurement position coordinate data, and generating image data of the growth status of white shrimp at the shed pond aquaculture measurement position; S4, analyzing and processing the white shrimp growth specification parameters at the white shrimp shed pond aquaculture measurement location based on the white shrimp growth status image data at the shed pond aquaculture measurement location and the white shrimp growth status image data at different growth specifications, to generate white shrimp growth specification data at the shed pond aquaculture measurement location; S5, performing a measurement process on the white shrimp growth specification parameter numerical intervals in the white shrimp shed pond aquaculture area based on the white shrimp growth specification data at the shed pond aquaculture measurement location to generate a white shrimp growth specification parameter interval; The S5 comprises the following steps: S51, using the KD tree nearest neighbor search algorithm according to the number of white shrimp farming shed ponds and the number of white shrimp farming measurement positions numbered within D'D' u Middle pair d' u,o Perform numerical analysis on the growth parameters of white shrimp and search for the d' with the largest value among the D' u,o and the d' with the smallest value u,o , and generate a growth specification parameter interval F=[f1,f2] for whiteleg shrimp cultured in shed ponds through data identification, wherein f1 represents the minimum growth specification parameter for whiteleg shrimp cultured in shed ponds in the growth specification parameter interval F, and f2 represents the maximum growth specification parameter for whiteleg shrimp cultured in shed ponds in the growth specification parameter interval F, wherein the units of f1 and f2 are both centimeters; Where D' represents the white shrimp growth specification data set matrix at the measurement location of shed pond culture, and D' includes D' u , where D′ u represents the white shrimp growth specification data set at the measurement location of the white shrimp farming shed pond corresponding to the u-th white shrimp farming shed pond, and the D' u Including d' u,o , where d' u,o represents the white shrimp growth specification data at the oth white shrimp farming measurement position in the uth white shrimp farming shed pond, where d' u,o The unit is centimeters; S6. Performing shed pond object matching processing required for shed pond aquaculture of white shrimp in different growth specification intervals according to the growth specification parameter intervals of the shed pond aquaculture white shrimp and the shed pond object text data of the white shrimp aquaculture white shrimp, and generating shed pond object matching data for shed pond aquaculture of white shrimp in different growth specification intervals; The S6 comprises the following steps: S61, performing numerical subtraction and absolute value processing on f1 and f2 in F, and measuring the growth specification difference Δf of whiteleg shrimp cultured in shed ponds, where the unit of Δf is centimeters; S62, performing numerical quotient processing on the Δf and the total number of white shrimp farming shed ponds ω in A, to generate the white shrimp farming shed pond growth specification division value Combined with the f1 and f2 in F, the white shrimp growth specification parameter interval of the white shrimp shed pond culture sub-ponds is numerically processed to measure the white shrimp shed pond culture sub-pond growth specification interval set H = (h1, ..., h u ,…,h ω ), where h u represents the growth specification interval of the white shrimp farming pond corresponding to the u-th white shrimp farming pond, where in The unit is centimeters; S63, using a unified cost search algorithm to find the h in H u and a in A u Perform white shrimp farming shed pond number number character matching to search for the h u The corresponding a u , and generate the matching data set H'=(h'1,…,h' u ,…,h' ω ), where h' u Indicates the growth specification interval h of the white shrimp shed pond culture pond u The corresponding white shrimp breeding shed pond object matching data of different growth specification intervals; wherein A represents the white shrimp breeding shed pond object text data set, and the A includes a u ; where a u Represents the text data of the u-th white shrimp farming shed pond object; S7. Constructing management data for mobile relay pond division of white shrimp shed pond aquaculture and executing mobile relay pond division of white shrimp shed pond aquaculture; The S7 comprises the following steps: S71, combining the data H and H′ to construct the mobile relay pond management data G for white shrimp shed pond aquaculture; S72, white shrimp farming management platform according to the h of H in G u and the h' of the H' u The white shrimp specification screening equipment is controlled to transfer white shrimps of different specifications in the shed pond farming area to the designated shed pond target pools to perform the mobile relay pond division operation for white shrimp shed pond farming.

2. The multi-factor-based relay culture management method for whiteleg shrimp in shed ponds according to claim 1, characterized in that: Said S1 comprises the following steps: S11, through the data input dialog box of the white shrimp farming management platform, online collect the characteristic text information of the white shrimp farming shed and pond object on the user side, and generate the white shrimp farming shed and pond object text data set A=(a1,…,a u ,…,a ω ), u=1,2,3,…,ω; where a u represents the text data of the u-th whiteleg shrimp farming pond object, and ω represents the total number of whiteleg shrimp farming ponds; The three-dimensional laser scanner carried by the UAV is used to scan online to collect the geographical real scene three-dimensional entity model parameters of the white shrimp farming shed pond object on the user side, and generate the white shrimp farming shed pond real scene three-dimensional model data set B = (b1,…,b u ,…,b ω ), where b u Represents the real-life 3D model data of the u-th whiteleg shrimp farming pond.

3. The multi-factor-based relay culture management method for whiteleg shrimp in shed ponds according to claim 2, characterized in that: The S2 comprises the following steps: S21, number the white shrimp farming sheds and ponds in order to u The corresponding horizontal surface of the shed pond is divided into a plane grid with a side length of L, and a spherical coordinate system is established with the earth as the base. The spatial coordinate parameters of the center point of the square of the horizontal surface grid of the shed pond in the spherical coordinate system are measured, and the coordinate data set matrix of the measurement position of the white shrimp shed pond aquaculture is generated. u ,…,C ω ), where C u represents the white shrimp farming shed pond aquaculture measurement location coordinate data set corresponding to the u-th white shrimp farming shed pond, where C u =(c u,1 ,…,c u,o ,…,c u,ξ ), o=1,2,3,…,ξ;c u,o represents the white shrimp shed pond aquaculture measurement position coordinate data corresponding to the o-th white shrimp shed pond aquaculture measurement position in the u-th white shrimp shed pond, and ξ represents the maximum number of white shrimp shed pond aquaculture measurement positions.

4. The multi-factor-based relay culture management method for whiteleg shrimp in shed ponds according to claim 3 is characterized in that: The S3 includes the following steps: S31, using a drone equipped with a cloud camera based on the C inside the C u The c u,o According to the number of white shrimp farming shed ponds and the number of white shrimp farming measurement positions, the underwater white shrimp growth status image acquisition operation at the white shrimp farming measurement positions is performed in order, and the white shrimp growth status image data set matrix D = (D1, ..., D u ,…,D ω ), where D u represents the image data set of the growth status of white shrimp at the measurement location of the u-th white shrimp farming shed pond, where D u =(d u,1 ,…,d u,o ,…,d u,ξ ), d u,o It represents the image data of the growth status of whiteleg shrimp at the shed aquaculture measurement position corresponding to the oth whiteleg shrimp shed aquaculture measurement position in the uth whiteleg shrimp aquaculture shed pond.

5. The multi-factor-based relay culture management method for whiteleg shrimp in shed ponds according to claim 4 is characterized in that: The S4 comprises the following steps: S41, establish the growth state image data set E of white shrimp with different growth specifications = (e1,…,e p ,…,e ψ ), p=1,2,3,…,ψ; e p represents the growth status image data of whiteleg shrimp of different growth sizes corresponding to the pth growth size type, ψ represents the maximum number of growth size types, and the unit of growth size is centimeter; S42, the D inside the D u The d u,o According to the number of white shrimp farming shed ponds and the number of white shrimp farming measurement locations, they are numbered in order and are consistent with the number in E p Perform image feature matching and search for the image that matches the d u,o Matches all of the e p The corresponding growth specification parameters are generated through data identification to generate the white shrimp growth specification data set matrix D′ at the shed pond aquaculture measurement location. The specific steps for generating the white shrimp growth specification data set matrix D′ at the shed pond aquaculture measurement location are as follows: S421, in the E search space, p Initialize to honey source i; set the number of honey source i ψ, the current number of iterations t and the maximum number of iterations T; the e p The initial position Y of nectar source i i ; S422, in the E search space, for the e p The initial position Y of nectar source i i Assign employed bees. At the beginning of the search, the employed bees are in the E search space. p The initial position Y of nectar source i i around the location and search for the generated e p New nectar source location Y i ', that is, traverse and search for all the e in the E p ; S423, according to the e p New nectar source location Y′ i The fitness of the nectar source i is determined according to the greedy selection method, that is, the nectar source i is retained in the range of d u,o Match the e p Nectar source i; S424, the employed bees share the nectar source i information, and the following bees in the E search space select the nectar source i according to the probability value. u,o Match the e p The honey source i searches for the honey source, and the following bees follow the honey source i according to the honey source i shared with the employed bees. u,o Match the e p The honey source i information is used to calculate the employed bees to find the d u,o Match the e p The probability of nectar source i being followed; S425: Follower bees search in the E search space in the same way as employed bees, and determine the retained bees that are related to the d according to the greedy selection method. u,o Match the e p Nectar source i; S426, during the random search process of the scout bee in the E search space, if the e p Initial position Y of nectar source i i After t iterations of searching, the iteration threshold Θ is reached and no better solution is found. u,o Match the e p Honey source i, the said e p Initial position Y of nectar source i i Will be abandoned, and the corresponding hired bees will become scout bees; S427, when the maximum number of search iterations T is met, output the value corresponding to the d u,o Matches all of the e p The corresponding growth specification parameters are then generated through data identification to generate the white shrimp growth specification data set matrix D'=(D'1,…,D' u ,…,D' ω ), where D' u represents the white shrimp growth specification data set at the measurement location of the white shrimp farming shed pond corresponding to the u-th white shrimp farming shed pond, where D' u =(d' u,1 ,…,d' u,o ,…,d' u,ξ ), d' u,o represents the white shrimp growth specification data at the oth white shrimp farming measurement position in the uth white shrimp farming shed pond, where d' u,o The unit is centimeters.

6. A multi-factor-based relay farming management system for whiteleg shrimp in shed ponds, for implementing the multi-factor-based relay farming management method for whiteleg shrimp in shed ponds according to any one of claims 1 to 5, characterized in that: The system comprises a white shrimp shed pond aquaculture parameter collection module, a white shrimp shed pond aquaculture pond division analysis module, and a white shrimp shed pond aquaculture pond division execution module.

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