Artificial culture assisting method for lycoris chinensis based on growth environment regulation and control

Abstract

The invention relates to an artificial culture assisting method for lycoris pleurocoris based on growth environment regulation and control, and belongs to the technical field of lycoris pleurocoris culture. According to the method, environment regulation and control of lycoris chinensis in each sub-region during artificial cultivation assistance in the unit cultivation area is obtained by obtaining environment regulation and control cost data of environment regulation and control equipment during environment regulation and control in the unit cultivation area under each climatic characteristic data and climatic characteristic data of each sub-region in a target region within preset time; and environment regulation and control during artificial cultivation assistance in the unit cultivation area of lycoris chinensis in each sub-region is obtained. And finally, according to the environment regulation and control cost data when artificial cultivation is carried out on the lycoris sativa unit cultivation area in each sub-area, screening out a recommended artificial cultivation assistance area, carrying out deployment and control cultivation assistance according to the recommended artificial cultivation assistance area, and regulating and controlling the growth environment in the cultivation assistance area in real time. According to the method, by selecting the recommended culture area, the environment regulation and control cost is reduced, so that the culture cost is controlled within a preset range, and the rationality of carrying out artificial culture assistance on the lycoris chinensis is improved.

Description

Technical Field

[0001] The invention relates to the technical field of lychee stink bug breeding, and in particular to an artificial breeding method for lychee stink bug based on growth environment regulation. Background Art

[0002] Litchi stink bugs harm the flower spikes and young fruits of litchi and longan, resulting in a large reduction in litchi and longan production or affecting fruit quality. At present, chemical pesticides are mainly used for prevention and control, which pollutes the environment, increases costs, and is not in line with national policies. Since it is impossible to artificially raise litchi stink bugs indoors, the current scientific research method for obtaining litchi stink bugs is mainly to catch adult insects in orchards in spring, which is time-consuming and laborious, and it is easy to be burned by the liquid secreted by litchi stink bugs on the skin and eyes, causing accidental injuries. In Thailand and Yunnan, Guangxi, Hainan and other places in my country, fried litchi stink bugs are a very popular delicacy. Local fruit farmers can also make a considerable income by catching wild litchi stink bugs and selling them. However, it takes a lot of manpower and material resources to catch a large number of litchi stink bugs, and the wild environment is complex. Fruit farmers are often attacked by poisonous snakes and insects, causing personal injuries. In nature, it only takes more than 80 days for the newly hatched nymphs to grow into adults. Theoretically, multiple generations can develop in a year. Since lychees and longans only bear fruit once a year, there is only one generation of lychee stink bugs a year, and rarely two generations. Therefore, by fully simulating the natural environment and creating environmental conditions that are conducive to the growth and development of lychee stink bugs, artificial breeding of lychee stink bugs can be achieved. Specifically, the four-season longan plants that can bloom all year round are used as food for lychee stink bugs. Multiple generations of lychee stink bugs can be raised in a year, reducing the breeding cost of lychee stink bugs. In this way, lychee stink bugs can be provided for scientific research throughout the year, and fresh lychee stink bugs can be provided for catering services. However, in the process of breeding, the cost increase brought about by creating a favorable growth environment must be fully considered, and relevant technical support is required. Summary of the invention

[0003] The invention overcomes the shortcomings of the prior art and provides an artificial breeding method for litchi stink bugs based on growth environment regulation.

[0004] To achieve the above object, the technical solution adopted by the present invention is:

[0005] The first aspect of the present invention provides a method for artificially raising litchi stink bugs based on growth environment regulation, which specifically comprises:

[0006] Acquire historical climate characteristic data of each sub-region in the target area, and construct a climate characteristic prediction model according to the historical climate characteristic data of each sub-region in the target area;

[0007] The climate characteristic prediction model is used to predict the climate characteristic data of each sub-area in the target area within a preset time, and the environmental control cost data of the environmental control equipment when performing environmental control under each climate characteristic data is obtained through big data;

[0008] Obtain the environmental control cost data of the environmental control equipment when performing environmental control per unit breeding area under each climate characteristic data and the climate characteristic data of each sub-area in the target area within a preset time to obtain the environmental control cost data of the litchi stink bug per unit breeding area in each sub-area when performing artificial breeding;

[0009] According to the environmental control cost data of artificial rearing of litchi stink bugs per unit breeding area in each sub-area, the recommended artificial rearing area is screened out, and the artificial rearing is carried out according to the recommended artificial rearing area, and the growth environment in the rearing area is controlled in real time.

[0010] Furthermore, in the artificial breeding method of litchi stink bug based on growth environment regulation, historical climate characteristic data of each sub-region in the target area are obtained, and a climate characteristic prediction model is constructed according to the historical climate characteristic data of each sub-region in the target area, specifically including:

[0011] Obtain historical climate characteristic data of each sub-region in the target area through big data, and build a climate characteristic prediction model based on long short-term memory neural network;

[0012] Inputting historical climate characteristic data of each sub-region in the target region into the climate characteristic prediction model for training, and obtaining the prediction accuracy of the climate characteristic prediction model;

[0013] A prediction accuracy threshold is set. When the prediction accuracy is greater than the prediction accuracy threshold, the model parameters of the climate characteristic prediction model are saved, the training is completed, and the climate characteristic prediction model is output.

[0014] Furthermore, in the artificial breeding method of litchi stink bug based on growth environment regulation, the climate characteristic data of each sub-area in the target area within a preset time are predicted by the climate characteristic prediction model, specifically including:

[0015] Acquire climate characteristic data of each sub-region in the target region within a predetermined time, and input the climate characteristic data of each sub-region in the target region within the predetermined time into the climate characteristic prediction model for prediction;

[0016] By prediction, the climate characteristic data of each sub-region in the target region within a preset time are obtained, and the climate characteristic data of each sub-region in the target region within the preset time are output.

[0017] Further, in the artificial breeding method of litchi stink bugs based on growth environment regulation, the environmental regulation cost data of the environmental regulation equipment under each climate characteristic data when performing environmental regulation per unit breeding area and the climate characteristic data of each sub-area in the target area within a preset time are obtained, specifically:

[0018] Constructing a database, taking each climate characteristic data as a first node and the environmental control cost data as a second node, constructing a directed description relationship, connecting the first node and the second node based on the directed description relationship, and constructing a topological structure diagram;

[0019] Acquire relevant adjacency matrices based on the topological structure graph, input the relevant adjacency matrices into the database for storage, and configure relevant query addresses for each relevant adjacency matrix;

[0020] Inputting the climate characteristic data of each sub-area in the target area within a preset time into the database for data matching;

[0021] By data matching, the environmental regulation cost data of artificially raising litchi stink bugs per unit breeding area in each sub-region is obtained, and the environmental regulation cost data of artificially raising litchi stink bugs per unit breeding area in each sub-region is output.

[0022] Further, in the artificial rearing method of litchi stink bugs based on growth environment regulation, the recommended artificial rearing area is screened out according to the environmental regulation cost data of the artificial rearing of litchi stink bugs per unit breeding area in each sub-area, specifically including:

[0023] Acquire the current breeding cost control data information of litchi stink bugs, set the breeding area data of the unit breeding area, and initialize the initial number of litchi stink bug breeding areas and the locations of the breeding areas according to the current breeding cost control data information of litchi stink bugs;

[0024] Calculate the total breeding area data according to the initial number of litchi stink bug breeding areas and the breeding area data per unit breeding area, and calculate the total cost data information when litchi stink bugs are artificially assisted in breeding in all areas according to the total breeding area data and the environmental regulation cost data when litchi stink bugs are artificially assisted in breeding per unit breeding area in each sub-area;

[0025] Introducing a genetic algorithm, setting a genetic generation according to the genetic algorithm, setting a total cost data threshold, and outputting an initial number of litchi stink bug breeding areas and locations of the breeding areas when the total cost data information of litchi stink bugs in all the areas is not greater than the total cost data threshold;

[0026] When the total cost data information of artificial breeding of litchi stink bugs in all the areas is greater than the total cost data threshold, genetic iteration is performed based on the genetic algorithm to adjust the number of litchi stink bug breeding areas or the locations of the breeding areas until it is no greater than the total cost data threshold;

[0027] Based on the initial number of litchi stink bug breeding areas and the locations of the breeding areas, a recommended artificial breeding area is generated, and the recommended artificial breeding area is output.

[0028] Furthermore, in the artificial rearing method of litchi stink bug based on growth environment regulation, the artificial rearing is arranged and controlled according to the recommended artificial rearing area, and the growth environment in the rearing area is regulated in real time, specifically including:

[0029] Arrange artificial raising areas according to the recommended artificial raising areas, set the growth environment data threshold range, and obtain the growth environment data in the raising areas in real time;

[0030] determining whether the growth environment data in the support area is within the growth environment data threshold range, and if the growth environment data in the support area is within the growth environment data threshold range, generating a signal that does not require environmental control processing;

[0031] If the growth environment data in the supporting area is not within the growth environment data threshold range, the corresponding litchi stink bug breeding area is obtained, and a signal requiring environmental control processing is generated according to the corresponding litchi stink bug breeding area, and environmental control is performed on the area requiring environmental control.

[0032] A second aspect of the present invention provides an artificial rearing system for litchi stink bugs based on growth environment regulation, the system comprising a memory and a processor, the memory comprising a program for an artificial rearing method for litchi stink bugs based on growth environment regulation, and when the program for artificial rearing method for litchi stink bugs based on growth environment regulation is executed by the processor, any step of the method for artificial rearing of litchi stink bugs based on growth environment regulation is implemented.

[0033] The third aspect of the present invention provides a computer-readable storage medium, comprising a program for a method for artificially raising litchi stink bugs based on growth environment regulation. When the program for the method for artificially raising litchi stink bugs based on growth environment regulation is executed by the processor, any step of the method for artificially raising litchi stink bugs based on growth environment regulation is implemented.

[0034] The present invention solves the defects existing in the background technology and has the following beneficial effects:

[0035] The present invention obtains historical climate characteristic data of each sub-region in the target area, constructs a climate characteristic prediction model according to the historical climate characteristic data of each sub-region in the target area, and then predicts the climate characteristic data of each sub-region in the target area within a preset time through the climate characteristic prediction model, obtains the environmental control cost data of the environmental control equipment under each climate characteristic data when performing environmental control through big data, thereby obtaining the environmental control cost data of the environmental control equipment under each climate characteristic data when performing environmental control per unit breeding area and the climate characteristic data of each sub-region in the target area within a preset time to obtain the environmental control cost data of the litchi stink bug per unit breeding area in each sub-region when performing artificial support, and finally selects the recommended artificial support area according to the environmental control cost data of the litchi stink bug per unit breeding area in each sub-region, and arranges and supports the support according to the recommended artificial support area, and controls the growth environment in the support area in real time. The present invention estimates the environmental control cost data according to the climate characteristic data in each region, thereby selecting the recommended breeding area, reducing the environmental control cost, so that the breeding cost is controlled within a predetermined range, and improving the rationality of artificial support for litchi stink bugs. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, drawings of other embodiments can be obtained based on these drawings without paying creative work.

[0037] Figure 1 The overall flow chart of a method for artificially raising litchi stink bugs based on growth environment regulation is shown;

[0038] Figure 2 A partial method flow chart of a method for artificially raising litchi stink bug based on growth environment regulation is shown;

[0039] Figure 3 The present invention shows a system block diagram of an artificial breeding system for litchi stink bugs based on growth environment regulation. DETAILED DESCRIPTION

[0040] In order to more clearly understand the above-mentioned purpose, features and advantages of the present invention, the present invention is further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that the embodiments of the present application and the features in the embodiments can be combined with each other without conflict.

[0041] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may also be implemented in other ways different from those described herein. Therefore, the protection scope of the present invention is not limited to the specific embodiments disclosed below.

[0042] Example 1

[0043] like Figure 1 As shown, the first aspect of the present invention provides a method for artificially raising litchi stink bugs based on growth environment regulation, specifically comprising:

[0044] S102: Acquire historical climate characteristic data of each sub-region in the target region, and construct a climate characteristic prediction model according to the historical climate characteristic data of each sub-region in the target region;

[0045] S104: Predicting climate characteristic data of each sub-area in the target area within a preset time through a climate characteristic prediction model, and obtaining environmental control cost data of the environmental control equipment when performing environmental control under each climate characteristic data through big data;

[0046] S106: Obtaining environmental control cost data when the environmental control equipment performs environmental control per unit breeding area under each climate characteristic data and climate characteristic data of each sub-area in the target area within a preset time, and obtaining environmental control cost data when the litchi stink bug per unit breeding area is artificially assisted in each sub-area;

[0047] S108: According to the environmental control cost data of artificial rearing of litchi stink bugs per unit breeding area in each sub-area, a recommended artificial rearing area is selected, and artificial rearing is carried out according to the recommended artificial rearing area, and the growth environment in the rearing area is controlled in real time.

[0048] It should be noted that the present invention estimates the environmental control cost data according to the climate characteristic data in each area, thereby selecting the recommended breeding area, reducing the environmental control cost, so that the breeding cost is controlled within a predetermined range, and improving the rationality of artificial breeding of litchi stink bugs.

[0049] Furthermore, in the artificial breeding method of litchi stink bug based on growth environment regulation, historical climate characteristic data of each sub-region in the target area are obtained, and a climate characteristic prediction model is constructed according to the historical climate characteristic data of each sub-region in the target area, specifically including:

[0050] Obtain historical climate characteristic data of each sub-region in the target area through big data, and build a climate characteristic prediction model based on long short-term memory neural network;

[0051] Input the historical climate characteristic data of each sub-region in the target region into the climate characteristic prediction model for training to obtain the prediction accuracy of the climate characteristic prediction model;

[0052] A prediction accuracy threshold is set. When the prediction accuracy is greater than the prediction accuracy threshold, the model parameters of the climate characteristic prediction model are saved, the training is completed, and the climate characteristic prediction model is output.

[0053] It should be noted that historical climate characteristic data include temperature, humidity, seasonal weather characteristics, etc. The environmental and climate preference characteristics of each region can be obtained through the long and short time memory network.

[0054] Furthermore, in the artificial breeding method of litchi stink bug based on growth environment regulation, the climate characteristic data of each sub-area in the target area within a preset time are predicted by a climate characteristic prediction model, specifically including:

[0055] Acquire climate characteristic data of each sub-region in the target region within a predetermined time, and input the climate characteristic data of each sub-region in the target region within the predetermined time into a climate characteristic prediction model for prediction;

[0056] Through prediction, the climate characteristic data of each sub-region in the target region within a preset time are obtained, and the climate characteristic data of each sub-region in the target region within the preset time are output.

[0057] like Figure 2 As shown, further, in the artificial breeding method of litchi stink bugs based on growth environment regulation, the environmental regulation cost data of the environmental regulation equipment under each climate characteristic data when performing environmental regulation per unit breeding area and the climate characteristic data of each sub-area in the target area within a preset time are obtained to obtain the environmental regulation cost data of the litchi stink bugs per unit breeding area in each sub-area when performing artificial breeding, specifically:

[0058] S202: construct a database, take each climate characteristic data as the first node, and the environmental control cost data as the second node, construct a directed description relationship, connect the first node and the second node based on the directed description relationship, and construct a topological structure diagram;

[0059] S204: Obtain relevant adjacency matrices based on the topological structure graph, input the relevant adjacency matrices into a database for storage, and configure relevant query addresses for each relevant adjacency matrix;

[0060] S206: inputting the climate characteristic data of each sub-area in the target area within a preset time into the database for data matching;

[0061] S208: Obtain the environmental regulation cost data of artificially raising litchi stink bugs per unit breeding area in each sub-region through data matching, and output the environmental regulation cost data of artificially raising litchi stink bugs per unit breeding area in each sub-region.

[0062] It should be noted that, in the process of artificial breeding, the living environment data (such as temperature and humidity) in the breeding area of ​​lychee stink bugs are mainly regulated by environmental control equipment, which will result in inconsistent control costs required in areas with different climatic characteristics, such as high temperature weather, ultra-low temperature weather, etc., and under different temperature and humidity conditions, such weather or meteorological characteristics will cause changes in the environmental control costs. This method can obtain the environmental control cost data for artificial breeding of lychee stink bugs per unit breeding area in each sub-area.

[0063] Furthermore, in the artificial rearing method of litchi stink bugs based on growth environment regulation, the recommended artificial rearing area is screened out according to the environmental regulation cost data of the artificial rearing of litchi stink bugs per unit breeding area in each sub-area, specifically including:

[0064] Acquire the current breeding cost control data information of litchi stink bugs, set the breeding area data of the unit breeding area, and initialize the initial number of litchi stink bug breeding areas and the locations of the breeding areas according to the current breeding cost control data information of litchi stink bugs;

[0065] Calculate the total breeding area data according to the initial number of litchi stink bug breeding areas and the breeding area data per unit breeding area, and calculate the total cost data information when litchi stink bugs are artificially assisted in breeding in all areas according to the total breeding area data and the environmental regulation cost data when litchi stink bugs are artificially assisted in breeding per unit breeding area in each sub-area;

[0066] Introducing a genetic algorithm, setting a genetic generation according to the genetic algorithm, setting a total cost data threshold, and outputting an initial number of litchi stink bug breeding areas and locations of the breeding areas when the total cost data information of litchi stink bugs in all the areas is not greater than the total cost data threshold;

[0067] When the total cost data information of artificial breeding of litchi stink bugs in all the areas is greater than the total cost data threshold, genetic iteration is performed based on the genetic algorithm to adjust the number of litchi stink bug breeding areas or the locations of the breeding areas until it is no greater than the total cost data threshold;

[0068] Based on the initial number of litchi stink bug breeding areas and the locations of the breeding areas, a recommended artificial breeding area is generated, and the recommended artificial breeding area is output.

[0069] It should be noted that the method can select recommended artificial rearing areas so that the total cost data information of artificial rearing of litchi stink bugs in all the areas is not greater than the total cost data threshold, thereby improving the rationality of breeding control.

[0070] Furthermore, in the artificial rearing method of litchi stink bug based on growth environment regulation, the artificial rearing is arranged and controlled according to the recommended artificial rearing area, and the growth environment in the rearing area is regulated in real time, specifically including:

[0071] Arrange artificial raising areas according to the recommended artificial raising areas, set the growth environment data threshold range, and obtain the growth environment data in the raising areas in real time;

[0072] Determine whether the growth environment data in the support area is within the growth environment data threshold range, and if the growth environment data in the support area is within the growth environment data threshold range, generate a signal that does not require environmental control processing;

[0073] If the growth environment data in the breeding area is not within the growth environment data threshold range, the corresponding litchi stink bug breeding area is obtained, and a signal requiring environmental control processing is generated according to the corresponding litchi stink bug breeding area, and environmental control is performed on the area requiring environmental control.

[0074] It should be noted that the environment in the area requiring environmental control is mainly controlled through environmental control equipment (such as fans, air purifiers, etc.).

[0075] In addition, the method further comprises:

[0076] Obtain energy consumption data of each performance environment control device through big data, obtain control cost data of the environment control device under unit energy consumption data, and build a performance prediction model based on deep neural network;

[0077] Obtaining historical performance service data of the environmental control equipment, and inputting the historical performance service data of the environmental control equipment into the performance prediction model for training, obtaining the trained performance prediction model, and obtaining the performance data change characteristics of the environmental control equipment within a preset time;

[0078] Inputting the performance data change characteristics of the environmental control equipment within the preset time into the performance prediction model for prediction, obtaining the performance data of each environmental control equipment, and obtaining real-time environmental control demand information;

[0079] Calculate total predicted energy consumption data based on the performance data of each environmental control device, real-time environmental control demand information, and control cost data of the environmental control device under unit energy consumption data, and calculate estimated environmental control cost data based on the total predicted energy consumption data;

[0080] The recommended artificial breeding areas are readjusted according to the estimated environmental regulation cost data, and the recommended artificial breeding areas are updated.

[0081] It should be noted that the historical performance service data includes temperature rise data, temperature drop data, humidity adjustment data per unit time and other data. After the environmental control equipment has been used for a certain number of years, the same environmental control requirements have different energy consumption (electricity loss), and different energy consumption will lead to different environmental control costs. This method can further determine more excellent artificial breeding areas for artificial breeding, thereby improving the accuracy of recommendations.

[0082] Example 2

[0083] like Figure 3 As shown, the second aspect of the present invention provides a system 4 for artificially raising litchi stink bugs based on growth environment regulation. The system 4 includes a memory 41 and a processor 42. The memory 41 includes a program for artificially raising litchi stink bugs based on growth environment regulation. When the program for artificially raising litchi stink bugs based on growth environment regulation is executed by the processor 42, the technical solution of embodiment 1 is implemented. Specifically, it includes:

[0084] Acquire historical climate characteristic data of each sub-region in the target region, and construct a climate characteristic prediction model based on the historical climate characteristic data of each sub-region in the target region;

[0085] The climate characteristic data of each sub-area in the target area within a preset time are predicted by a climate characteristic prediction model, and the environmental control cost data of the environmental control equipment under each climate characteristic data when performing environmental control is obtained through big data;

[0086] Obtain the environmental control cost data of the environmental control equipment when performing environmental control per unit breeding area under each climate characteristic data and the climate characteristic data of each sub-area in the target area within a preset time to obtain the environmental control cost data of the litchi stink bug per unit breeding area in each sub-area when performing artificial breeding;

[0087] Based on the environmental control cost data of artificial rearing of litchi stink bugs per unit breeding area in each sub-area, the recommended artificial rearing areas are screened out, and artificial rearing is carried out according to the recommended artificial rearing areas, and the growth environment in the rearing areas is regulated in real time.

[0088] Furthermore, in the artificial breeding system of litchi stink bugs based on growth environment regulation, historical climate characteristic data of each sub-region in the target area are obtained, and a climate characteristic prediction model is constructed according to the historical climate characteristic data of each sub-region in the target area, specifically including:

[0089] Obtain historical climate characteristic data of each sub-region in the target area through big data, and build a climate characteristic prediction model based on long short-term memory neural network;

[0090] Input the historical climate characteristic data of each sub-region in the target region into the climate characteristic prediction model for training to obtain the prediction accuracy of the climate characteristic prediction model;

[0091] A prediction accuracy threshold is set. When the prediction accuracy is greater than the prediction accuracy threshold, the model parameters of the climate characteristic prediction model are saved, the training is completed, and the climate characteristic prediction model is output.

[0092] Furthermore, in the artificial breeding system of litchi stink bugs based on growth environment regulation, the climate characteristic data of each sub-area in the target area within a preset time are predicted by the climate characteristic prediction model, specifically including:

[0093] Acquire climate characteristic data of each sub-region in the target region within a predetermined time, and input the climate characteristic data of each sub-region in the target region within the predetermined time into a climate characteristic prediction model for prediction;

[0094] Through prediction, the climate characteristic data of each sub-region in the target region within a preset time are obtained, and the climate characteristic data of each sub-region in the target region within the preset time are output.

[0095] Further, in the artificial breeding system of litchi stink bugs based on growth environment regulation, the environmental regulation cost data of the environmental regulation equipment under each climate characteristic data when performing environmental regulation per unit breeding area and the climate characteristic data of each sub-area in the target area within a preset time are obtained, specifically:

[0096] Construct a database, take each climate characteristic data as the first node, and the environmental control cost data as the second node, construct a directed description relationship, connect the first node and the second node based on the directed description relationship, and construct a topological structure diagram;

[0097] Obtaining relevant adjacency matrices based on the topological structure graph, inputting the relevant adjacency matrices into a database for storage, and configuring relevant query addresses for each relevant adjacency matrix;

[0098] Input the climate characteristic data of each sub-region in the target region within a preset time into the database for data matching;

[0099] Through data matching, the environmental regulation cost data of artificial breeding of litchi stink bugs per unit breeding area in each sub-region is obtained, and the environmental regulation cost data of artificial breeding of litchi stink bugs per unit breeding area in each sub-region is output.

[0100] Furthermore, in the artificial breeding system of litchi stink bugs based on growth environment regulation, the recommended artificial breeding areas are screened out according to the environmental regulation cost data of artificial breeding of litchi stink bugs per unit breeding area in each sub-area, specifically including:

[0101] Obtaining the current breeding cost control data information of the litchi stink bug, and initializing the initial number of litchi stink bug breeding areas, the unit number of breeding area data, and the location of the breeding area according to the current breeding cost control data information of the litchi stink bug;

[0102] The total breeding area data is calculated according to the number of litchi stink bug breeding areas and the breeding area data per unit number, and the total cost data information of artificial breeding of litchi stink bugs in all areas is calculated according to the total breeding area data and the environmental regulation cost data of artificial breeding of litchi stink bugs per unit breeding area in each sub-area;

[0103] A genetic algorithm is introduced, a genetic generation is set according to the genetic algorithm, a total cost data threshold is set, and when the total cost data information of artificial breeding of litchi stink bugs in all areas is not greater than the total cost data threshold, an initial number of litchi stink bug breeding areas, a unit number of breeding area data, and the location of the breeding area are output;

[0104] When the total cost data information of artificial breeding of litchi stink bugs in all areas is greater than the total cost data threshold, genetic iteration is performed based on the genetic algorithm to adjust the number of litchi stink bug breeding areas, the breeding area data per unit number, or the location of the breeding area until it is no greater than the total cost data threshold;

[0105] Based on the initial number of litchi stink bug breeding areas, the unit number of breeding area data and the location of the breeding area, a recommended artificial breeding area is generated and the recommended artificial breeding area is output.

[0106] Furthermore, in the artificial breeding system for litchi stink bugs based on growth environment regulation, the artificial breeding is arranged and controlled according to the recommended artificial breeding area, and the growth environment in the breeding area is regulated in real time, specifically including:

[0107] Arrange artificial raising areas according to the recommended artificial raising areas, set the growth environment data threshold range, and obtain the growth environment data in the raising areas in real time;

[0108] Determine whether the growth environment data in the support area is within the growth environment data threshold range, and if the growth environment data in the support area is within the growth environment data threshold range, generate a signal that does not require environmental control processing;

[0109] If the growth environment data in the breeding area is not within the growth environment data threshold range, the corresponding litchi stink bug breeding area is obtained, and a signal requiring environmental control processing is generated according to the corresponding litchi stink bug breeding area, and environmental control is performed on the area requiring environmental control.

[0110] Example 3

[0111] The third aspect of the present invention provides a computer-readable storage medium, including a program for the artificial breeding method of litchi stink bug based on growth environment regulation. When the program for the artificial breeding method of litchi stink bug based on growth environment regulation is executed by a processor, the technical solution of Example 1 is implemented.

[0112] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as: multiple units or components can be combined, or can be integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the components shown or discussed can be through some interfaces, and the indirect coupling or communication connection of the devices or units can be electrical, mechanical or other forms.

[0113] The units described above as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units; they may be located in one place or distributed on multiple network units; some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0114] In addition, all functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately used as a unit, or two or more units may be integrated into one unit; the above-mentioned integrated units may be implemented in the form of hardware or in the form of hardware plus software functional units.

[0115] A person of ordinary skill in the art can understand that: all or part of the steps of implementing the above method embodiments can be completed by hardware related to program instructions, and the aforementioned program can be stored in a computer-readable storage medium. When the program is executed, it executes the steps of the above method embodiments; and the aforementioned storage medium includes: mobile storage devices, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), magnetic disks or optical disks, and other media that can store program codes.

[0116] Alternatively, if the above-mentioned integrated unit of the present invention is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the embodiment of the present invention can be essentially or partly reflected in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the methods of each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as mobile storage devices, ROM, RAM, magnetic disks or optical disks.

[0117] The above are only specific embodiments of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. A method for artificially raising litchi stink bugs based on growth environment regulation, characterized in that: Specifically include: Acquire historical climate characteristic data of each sub-region in the target area, and construct a climate characteristic prediction model according to the historical climate characteristic data of each sub-region in the target area; The climate characteristic prediction model is used to predict the climate characteristic data of each sub-area in the target area within a preset time, and the environmental control cost data of the environmental control equipment when performing environmental control under each climate characteristic data is obtained through big data; Obtain the environmental control cost data of the environmental control equipment when performing environmental control per unit breeding area under each climate characteristic data and the climate characteristic data of each sub-area in the target area within a preset time to obtain the environmental control cost data of the litchi stink bug per unit breeding area in each sub-area when performing artificial breeding; According to the environmental control cost data of artificial rearing of litchi stink bugs per unit breeding area in each sub-area, the recommended artificial rearing area is screened out, and the artificial rearing is carried out according to the recommended artificial rearing area, and the growth environment in the rearing area is controlled in real time.

2. The method for artificially raising litchi stink bug based on growth environment regulation according to claim 1, characterized in that: Acquiring historical climate characteristic data of each sub-region in the target region, and constructing a climate characteristic prediction model according to the historical climate characteristic data of each sub-region in the target region, specifically including: Obtain historical climate characteristic data of each sub-region in the target area through big data, and build a climate characteristic prediction model based on long short-term memory neural network; Inputting historical climate characteristic data of each sub-region in the target region into the climate characteristic prediction model for training, and obtaining the prediction accuracy of the climate characteristic prediction model; A prediction accuracy threshold is set. When the prediction accuracy is greater than the prediction accuracy threshold, the model parameters of the climate characteristic prediction model are saved, the training is completed, and the climate characteristic prediction model is output.

3. The method for artificially raising litchi stink bug based on growth environment regulation according to claim 1, characterized in that: Predicting the climate characteristic data of each sub-area in the target area within a preset time by using the climate characteristic prediction model specifically includes: Acquire climate characteristic data of each sub-region in the target region within a predetermined time, and input the climate characteristic data of each sub-region in the target region within the predetermined time into the climate characteristic prediction model for prediction; By prediction, the climate characteristic data of each sub-region in the target region within a preset time are obtained, and the climate characteristic data of each sub-region in the target region within the preset time are output.

4. The method for artificially raising litchi stink bug based on growth environment regulation according to claim 1, characterized in that: According to the environmental control cost data of the environmental control equipment when performing environmental control per unit breeding area under the climate characteristic data and the climate characteristic data of each sub-area in the target area within a preset time, the environmental control cost data of the litchi stink bug per unit breeding area in each sub-area when performing artificial breeding is obtained, specifically: Constructing a database, taking each climate characteristic data as a first node and the environmental control cost data as a second node, constructing a directed description relationship, connecting the first node and the second node based on the directed description relationship, and constructing a topological structure diagram; Acquire relevant adjacency matrices based on the topological structure graph, input the relevant adjacency matrices into the database for storage, and configure relevant query addresses for each relevant adjacency matrix; Inputting the climate characteristic data of each sub-area in the target area within a preset time into the database for data matching; By data matching, the environmental regulation cost data of artificially raising litchi stink bugs per unit breeding area in each sub-region is obtained, and the environmental regulation cost data of artificially raising litchi stink bugs per unit breeding area in each sub-region is output.

5. The method for artificially raising litchi stink bug based on growth environment regulation according to claim 1, characterized in that: The recommended artificial breeding areas are selected based on the environmental control cost data of artificial breeding of litchi stink bugs per unit breeding area in each sub-area, specifically including: Acquire the current breeding cost control data information of litchi stink bugs, set the breeding area data of the unit breeding area, and initialize the initial number of litchi stink bug breeding areas and the locations of the breeding areas according to the current breeding cost control data information of litchi stink bugs; Calculate the total breeding area data according to the initial number of litchi stink bug breeding areas and the breeding area data per unit breeding area, and calculate the total cost data information when litchi stink bugs are artificially assisted in breeding in all areas according to the total breeding area data and the environmental regulation cost data when litchi stink bugs are artificially assisted in breeding per unit breeding area in each sub-area; Introducing a genetic algorithm, setting a genetic generation according to the genetic algorithm, setting a total cost data threshold, and outputting an initial number of litchi stink bug breeding areas and locations of the breeding areas when the total cost data information of litchi stink bugs in all the areas is not greater than the total cost data threshold; When the total cost data information of artificial breeding of litchi stink bugs in all the areas is greater than the total cost data threshold, genetic iteration is performed based on the genetic algorithm to adjust the number of litchi stink bug breeding areas or the locations of the breeding areas until it is no greater than the total cost data threshold; Based on the initial number of litchi stink bug breeding areas and the locations of the breeding areas, a recommended artificial breeding area is generated, and the recommended artificial breeding area is output.

6. The method for artificially raising litchi stink bug based on growth environment regulation according to claim 1, characterized in that: Arrange and control the artificial breeding area according to the recommended artificial breeding area, and adjust the growth environment in the breeding area in real time, including: Arrange artificial raising areas according to the recommended artificial raising areas, set the growth environment data threshold range, and obtain the growth environment data in the raising areas in real time; determining whether the growth environment data in the support area is within the growth environment data threshold range, and if the growth environment data in the support area is within the growth environment data threshold range, generating a signal that does not require environmental control processing; If the growth environment data in the supporting area is not within the growth environment data threshold range, the corresponding litchi stink bug breeding area is obtained, and a signal requiring environmental control processing is generated according to the corresponding litchi stink bug breeding area, and environmental control is performed on the area requiring environmental control.

7. An artificial breeding system for litchi stink bug based on growth environment regulation, characterized in that: The system includes a memory and a processor, wherein the memory includes a program for the artificial rearing method of litchi stink bugs based on growth environment regulation, and when the program for the artificial rearing method of litchi stink bugs based on growth environment regulation is executed by the processor, the steps of the artificial rearing method of litchi stink bugs based on growth environment regulation as described in any one of claims 1 to 6 are implemented.

8. A computer-readable storage medium, characterized in that: It comprises a method program for artificially assisting the rearing of litchi stink bugs based on growth environment regulation. When the method program for artificially assisting the rearing of litchi stink bugs based on growth environment regulation is executed by the processor, the steps of the method for artificially assisting the rearing of litchi stink bugs based on growth environment regulation as described in any one of claims 1 to 6 are implemented.

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