Natural enemy insect mantis feeding management method based on environment simulation

By constructing a habitat shelter and environmental regulation system that simulates the natural living environment of mantis, the problems of high cost and low efficiency of mantis breeding are solved, and efficient and low-cost mantis breeding management are achieved.

CN119655228AActive Publication Date: 2025-03-21PLANT PROTECTION RES INST OF GUANGDONG ACADEMY OF AGRI SCI
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Patent Information

Application Number
CN202411981496.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-31
Publication Date
2025-03-21
Estimated Expiration
2044-12-31

AI Technical Summary

Technical Problem

In the prior art, artificial breeding of mantis is costly, low feeding efficiency, and difficult to meet long-term breeding needs.

Method used

Through big data, the living environment data for mantis is obtained suitable for survival, a habitat shelter that simulates its natural living environment, and an environmental regulation equipment is configured, and environmental regulation capabilities prediction model is used to simulate and monitor the environment to achieve low-cost automatic feeding and environmental regulation.

Benefits of technology

It improves the survival rate and feeding efficiency of mantis, reduces breeding costs, and realizes long-term feeding management.

✦ Generated by Eureka AI based on patent content.

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Patent Text Reader

Abstract

The invention relates to a natural enemy insect mantis feeding management method based on environmental simulation, and belongs to the technical field of mantis feeding management, and the method comprises the steps: building an environment regulation capability prediction model, and predicting the environment regulation capability data of each environment regulation equipment type within a preset time through the environment regulation capability prediction model, acquiring living environment data in the inhabiting shelter of the natural enemy insect mantis within a preset time, and finally performing environment simulation according to the living environment data in the inhabiting shelter of the natural enemy insect mantis within the preset time and the environment regulation and control capability data within the preset time. And the abnormal state in the inhabiting shelter of the natural enemy insect mantis is monitored. According to the living environment data information suitable for survival of the natural enemy insect mantis, environment simulation is carried out on the living environment data in the inhabiting shelter of the natural enemy insect mantis, the survival rate of the natural enemy insect mantis in breeding can be increased, and the breeding cost is reduced.
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Description

Technical Field

[0001] The invention relates to the technical field of mantis breeding and management, and in particular to a method for breeding and managing mantis, a natural enemy insect, based on environment simulation. Background Art

[0002] Mantis is an important predatory natural enemy insect with a large appetite and a wide range of prey. It is a powerful tool for biological control of pests. However, with the use of chemical pesticides for decades, the natural environment has been polluted and biodiversity has been severely damaged. Mantises are becoming less and less, and pests are increasing, and their resistance has also greatly increased. In organic and sustainable agricultural practices, the use of natural enemy insects such as mantises for biological pest control is an important strategy to reduce dependence on chemical pesticides. However, mantises have a long growth cycle and have serious cannibalistic habits. The current technical conditions make it very expensive to artificially raise mantises. Some scholars have developed artificial feed for mantises, but the feeding efficiency is low and can only meet short-term feeding, and even cannot complete a generation. Because mantises like to eat live insects, especially insects that perch on plants after flying, and they have a huge appetite, artificially raising live insects and providing them to mantises will greatly increase the feeding cost. Mantis egg sheaths are called mulberry silkworm cocoons in traditional Chinese medicine and have multiple medicinal values. Such as solidifying essence and reducing urine, nourishing kidney and yang, resisting frequent urination and astringency, and can also be used to treat symptoms such as leucorrhea and irregular menstruation in women. In addition to the medicinal value of the egg sheath, the dried mantis can also be used as medicine, which has the functions of nourishing and strengthening the body, strengthening the kidney and benefiting essence, stopping convulsions and calming the nerves. It is mainly used to treat symptoms such as physical weakness, impotence and spermatorrhea, convulsions in children, enuresis, hemorrhoids and neurasthenia. Based on the biological control value and medicinal value of mantis, in view of the high cost of existing indoor artificial breeding of mantis, a habitat shelter simulating the natural living environment of mantis is designed, and a low-cost breeding plan is designed to trap natural prey for automatic feeding. At the same time, during the breeding process, by monitoring the changes in environmental conditions, timely artificial intervention is carried out to create a good living environment, thereby obtaining a large number of mantis products. Summary of the invention

[0003] The invention overcomes the shortcomings of the prior art and provides a method for breeding and managing natural enemy insect mantises based on environmental simulation.

[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 breeding and managing a natural enemy insect mantis based on environmental simulation, comprising:

[0006] Obtaining data information on a living environment suitable for the survival of the natural enemy insect mantis through big data, and constructing a habitat shelter for the natural enemy insect mantis based on the data information on a living environment suitable for the survival of the natural enemy insect mantis;

[0007] By configuring environmental control equipment in the habitat shelter, and obtaining historical environmental control capability data of each type of environmental control equipment within a preset time, an environmental control capability prediction model is constructed according to the historical environmental control capability data of the type of environmental control equipment within the preset time;

[0008] Predicting the environmental control capability data of each type of environmental control equipment within a preset time by using the environmental control capability prediction model, and obtaining the living environment data in the habitat shelter of the natural enemy insect mantis within the preset time;

[0009] Environmental simulation is performed based on the living environment data in the habitat shelter of the natural enemy insect mantis within the preset time and the environmental regulation ability data within the preset time, and abnormal conditions in the habitat shelter of the natural enemy insect mantis are monitored.

[0010] Furthermore, in the method for breeding and managing natural enemy insect mantises based on environmental simulation, data information of a living environment suitable for the survival of natural enemy insect mantises is obtained through big data, and a habitat shelter for natural enemy insect mantises is constructed according to the data information of a living environment suitable for the survival of natural enemy insect mantises, specifically including:

[0011] Through big data, we can obtain the data information of the living environment suitable for the natural enemy insect mantis to survive, and obtain the environmental characteristic data of each area in the target area in each season, and introduce the Mahalanobis distance measurement method;

[0012] Calculate the Mahalanobis distance value between the environmental characteristic data of each area in the target area in each season and the living environment data information suitable for the survival of the natural enemy insect mantis according to the Mahalanobis distance measurement method;

[0013] Counting the living environment data information corresponding to the Mahalanobis distance value not greater than the Mahalanobis distance threshold, and obtaining the number of occurrences of the living environment data information corresponding to the Mahalanobis distance value not greater than the Mahalanobis distance threshold in each area;

[0014] The area where the living environment data information corresponding to the Mahalanobis distance value not greater than the Mahalanobis distance threshold appears the most times is taken as the priority layout area, and a habitat shelter for the natural enemy insect mantis is constructed in the priority layout area.

[0015] Furthermore, in the method for breeding and managing natural enemy insects mantises based on environmental simulation, historical environmental regulation capability data of each type of environmental regulation equipment within a preset time is obtained, and an environmental regulation capability prediction model is constructed according to the historical environmental regulation capability data of the type of environmental regulation equipment within a preset time, specifically including:

[0016] Obtain historical environmental control capability data of each type of environmental control equipment within a preset time, and introduce a graph neural network to input the historical environmental control capability data of each type of environmental control equipment within a preset time into the graph neural network;

[0017] Taking the type of environmental control equipment as the first graph node and the historical environmental control capability data as the second graph node, constructing a directed description relationship, and connecting the first graph node and the second graph node according to the directed description relationship to construct a topological structure graph;

[0018] Obtaining a topological structure diagram corresponding to each type of environmental control equipment, obtaining a related adjacency matrix based on the topological structure diagram corresponding to each type of environmental control equipment, and constructing adjacency matrix change feature data within a preset time based on the related adjacency matrix;

[0019] An environmental regulation capability prediction model is constructed based on a deep neural network, and the characteristic data of the adjacency matrix changes within the preset time are input into the environmental regulation capability prediction model for training.

[0020] Furthermore, in the method for breeding and managing natural enemy insects mantises based on environmental simulation, the environmental regulation capability prediction model is used to predict the environmental regulation capability data of each type of environmental regulation equipment within a preset time, specifically including:

[0021] Obtaining environmental control capability data of each type of environmental control equipment within the last preset time, and inputting the environmental control capability data of each type of environmental control equipment within the last preset time into the environmental control capability prediction model for prediction;

[0022] By prediction, the environmental control capability data of each environmental control device type within a preset time is obtained, and the environmental control capability data of each environmental control device type within the preset time is output.

[0023] Furthermore, in the method for breeding and managing natural enemy insect mantises based on environmental simulation, environmental simulation is performed according to the living environment data in the habitat shelter of the natural enemy insect mantises within the preset time and the environmental regulation ability data within the preset time, specifically including:

[0024] Acquire data information on a living environment suitable for the survival of a natural enemy insect mantis, and set a control benchmark according to the data information on a living environment suitable for the survival of a natural enemy insect mantis;

[0025] Calculate the environmental data that needs to be regulated based on the regulation benchmark and the living environment data in the habitat shelter of the natural enemy insect mantis within a preset time, and determine whether the environmental data that needs to be regulated is greater than the environmental regulation capacity data within the preset time;

[0026] When the environmental data to be regulated is not greater than the environmental regulation capacity data within the preset time, each environmental regulation device is regulated according to the regulation benchmark, and an environmental simulation is performed on the habitat shelter of the natural enemy insect mantis;

[0027] When the environmental data that needs to be regulated is greater than the environmental regulation capacity data within the preset time, the location information of the habitat and shelter of the corresponding natural enemy insect mantis is obtained, and an early warning is issued based on the location information of the habitat and shelter of the corresponding natural enemy insect mantis.

[0028] Furthermore, in the natural enemy insect mantis breeding and management method based on environmental simulation, monitoring the abnormal state in the natural enemy insect mantis's habitat shelter specifically includes:

[0029] Predicting the environmental control capability data of each environmental control device within a preset time through the environmental control capability prediction model, and setting the environmental control capability data threshold;

[0030] Acquire the environmental control capability data of each environmental control device at each timestamp according to the environmental control capability data of each environmental control device within a preset time;

[0031] Calculate the Euclidean distance between the environmental control capability data of each environmental control device at each timestamp and the environmental control capability data threshold;

[0032] The timestamp of the environmental control capability data corresponding to the Euclidean distance value being lower than the preset Euclidean distance threshold is obtained, and the timestamp of the environmental control capability data corresponding to the Euclidean distance value being lower than the preset Euclidean distance threshold is used as the starting point of the abnormal state, and an early warning is issued at the same time.

[0033] The second aspect of the present invention provides a natural enemy insect mantis breeding and management system based on environmental simulation, including a memory and a processor, wherein the memory includes a natural enemy insect mantis breeding and management method program based on environmental simulation, and when the natural enemy insect mantis breeding and management method program based on environmental simulation is executed by the processor, the steps of the natural enemy insect mantis breeding and management method based on environmental simulation are implemented.

[0034] The third aspect of the present invention provides a computer-readable storage medium, including a program for a method for breeding and managing a natural enemy insect mantis based on environmental simulation. When the program for the method for breeding and managing a natural enemy insect mantis based on environmental simulation is executed by a processor, the steps of the method for breeding and managing a natural enemy insect mantis based on environmental simulation are implemented.

[0035] The present invention solves the defects existing in the background technology and has the following beneficial effects:

[0036] The present invention obtains the living environment data information suitable for the survival of the natural enemy insect mantis through big data, and constructs the habitat shelter of the natural enemy insect mantis according to the living environment data information suitable for the survival of the natural enemy insect mantis, and then configures the environment control equipment in the habitat shelter, and obtains the historical environment control ability data of each type of environment control equipment within a preset time, and constructs an environment control ability prediction model according to the historical environment control ability data of the environment control equipment type within a preset time, so as to predict the environment control ability data of each type of environment control equipment within a preset time through the environment control ability prediction model, and obtain the living environment data in the habitat shelter of the natural enemy insect mantis within the preset time, and finally performs environmental simulation according to the living environment data in the habitat shelter of the natural enemy insect mantis within the preset time and the environmental control ability data within the preset time, and monitors the abnormal state in the habitat shelter of the natural enemy insect mantis. The present invention can improve the survival rate of the natural enemy insect mantis in breeding and reduce the breeding cost by performing environmental simulation on the living environment data in the habitat shelter of the natural enemy insect mantis according to the living environment data information suitable for the survival of the natural enemy insect mantis. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] 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.

[0038] Figure 1 The overall flow chart of the method for raising and managing the natural enemy insect mantis based on environmental simulation is shown;

[0039] Figure 2 A partial method flow chart of a method for feeding and managing a natural enemy insect mantis based on environmental simulation is shown;

[0040] Figure 3 The system block diagram of the natural enemy insect mantis breeding management system based on environmental simulation is shown. DETAILED DESCRIPTION

[0041] 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.

[0042] 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.

[0043] like Figure 1 As shown, the first aspect of the present invention provides a method for feeding and managing a natural enemy insect mantis based on environmental simulation, comprising:

[0044] S102: obtaining data information on a living environment suitable for the survival of the natural enemy insect mantis through big data, and constructing a habitat shelter for the natural enemy insect mantis based on the data information on a living environment suitable for the survival of the natural enemy insect mantis;

[0045] S104: by configuring environmental control equipment in the habitat shelter, and obtaining historical environmental control capability data of each type of environmental control equipment within a preset time, an environmental control capability prediction model is constructed according to the historical environmental control capability data of each type of environmental control equipment within a preset time;

[0046] S106: predicting the environmental control capability data of each type of environmental control equipment within a preset time through the environmental control capability prediction model, and obtaining the living environment data in the habitat shelter of the natural enemy insect mantis within the preset time;

[0047] S108: Perform environmental simulation based on the living environment data in the habitat shelter of the natural enemy insect mantis within a preset time and the environmental regulation ability data within a preset time, and monitor the abnormal state in the habitat shelter of the natural enemy insect mantis.

[0048] It should be noted that the present invention can improve the survival rate of natural enemy insect mantises in breeding and reduce breeding costs by simulating the living environment data in the habitat shelter of natural enemy insect mantises according to the living environment data information suitable for the survival of natural enemy insect mantises.

[0049] like Figure 2 As shown, further, in the natural enemy insect mantis breeding and management method based on environmental simulation, the living environment data information suitable for the survival of the natural enemy insect mantis is obtained through big data, and the habitat shelter of the natural enemy insect mantis is constructed according to the living environment data information suitable for the survival of the natural enemy insect mantis, which specifically includes:

[0050] S202: Obtaining data information on the living environment suitable for the natural enemy insect mantis through big data, and obtaining environmental characteristic data of each area in the target area in each season, and introducing the Mahalanobis distance measurement method;

[0051] S204: Calculating the Mahalanobis distance value between the environmental characteristic data of each area in the target area in each season and the living environment data information suitable for the survival of the natural enemy insect mantis according to the Mahalanobis distance measurement method;

[0052] S206: Counting the living environment data information corresponding to the Mahalanobis distance value not greater than the Mahalanobis distance threshold, and obtaining the number of occurrences of the living environment data information corresponding to the Mahalanobis distance value not greater than the Mahalanobis distance threshold in each area;

[0053] S208: The area where the living environment data information corresponding to the Mahalanobis distance value not greater than the Mahalanobis distance threshold appears the most times is selected as a priority layout area, and a habitat shelter for the natural enemy insect mantis is constructed in the priority layout area.

[0054] It should be noted that the living environment data information suitable for the survival of the natural enemy insect mantis includes temperature, humidity, etc. By taking the area with the largest number of living environment data information corresponding to the Mahalanobis distance value not greater than the Mahalanobis distance threshold as the priority layout area, it is possible to further select better layout areas for breeding and reduce production costs.

[0055] Furthermore, in the natural enemy insect mantis breeding and management method based on environmental simulation, historical environmental regulation capability data of each type of environmental regulation equipment within a preset time is obtained, and an environmental regulation capability prediction model is constructed according to the historical environmental regulation capability data of each type of environmental regulation equipment within a preset time, specifically including:

[0056] Obtain the historical environmental control capability data of each type of environmental control equipment within a preset time, and introduce the graph neural network to input the historical environmental control capability data of each type of environmental control equipment within a preset time into the graph neural network;

[0057] The type of environmental control equipment is used as the first graph node, and the historical environmental control capability data is used as the second graph node, a directed description relationship is constructed, and the first graph node and the second graph node are connected according to the directed description relationship to construct a topological structure graph;

[0058] Obtaining a topological structure diagram corresponding to each type of environmental control equipment, obtaining a related adjacency matrix based on the topological structure diagram corresponding to each type of environmental control equipment, and constructing adjacency matrix change feature data within a preset time based on the related adjacency matrix;

[0059] An environmental regulation capability prediction model is constructed based on a deep neural network, and the characteristic data of the adjacency matrix changes within a preset time are input into the environmental regulation capability prediction model for training.

[0060] It should be noted that the environmental control equipment includes exhaust fans, heating equipment, air purification devices and other devices. After the environmental control equipment has been used for a certain number of years, the environmental control capacity data (such as the heating effect per unit time, the cooling effect per unit time, and the amount of air purification per unit time) will decrease. This method can be used to construct an environmental control capacity prediction model to predict the environmental control capacity of each device.

[0061] Furthermore, in the natural enemy insect mantis breeding and management method based on environmental simulation, the environmental regulation capability prediction model is used to predict the environmental regulation capability data of each type of environmental regulation equipment within a preset time, specifically including:

[0062] Obtaining environmental control capability data of each type of environmental control equipment within the last preset time, and inputting the environmental control capability data of each type of environmental control equipment within the last preset time into the environmental control capability prediction model for prediction;

[0063] By prediction, the environmental control capability data of each environmental control device type within a preset time is obtained, and the environmental control capability data of each environmental control device type within the preset time is output.

[0064] Furthermore, in the method for breeding and managing natural enemy insect mantises based on environmental simulation, environmental simulation is performed according to the living environment data in the habitat shelter of the natural enemy insect mantises within a preset time and the environmental regulation ability data within a preset time, specifically including:

[0065] Obtaining data information on the living environment suitable for the natural enemy insect mantis to survive, and setting a control benchmark based on the data information on the living environment suitable for the natural enemy insect mantis to survive;

[0066] Calculate the environmental data that needs to be regulated based on the regulation benchmark and the living environment data in the habitat shelter of the natural enemy insect mantis within the preset time, and determine whether the environmental data that needs to be regulated is greater than the environmental regulation capacity data within the preset time;

[0067] When the environmental data to be regulated is not greater than the environmental regulation capacity data within the preset time, each environmental regulation device is regulated according to the regulation benchmark, and the environment of the habitat shelter of the natural enemy insect mantis is simulated;

[0068] When the environmental data that needs to be regulated is greater than the environmental regulation capacity data within the preset time, the location information of the habitat shelter of the corresponding natural enemy insect mantis is obtained, and an early warning is issued based on the location information of the habitat shelter of the corresponding natural enemy insect mantis.

[0069] It should be noted that this method can provide early warning and monitoring of the location information of the habitats and shelters of the natural enemy insect mantis, and can further discover abnormal habitats and shelters of the natural enemy insect mantis, thereby improving the reproductive survival rate of the mantis.

[0070] Furthermore, in the natural enemy insect mantis breeding and management method based on environmental simulation, monitoring the abnormal state in the habitat shelter of the natural enemy insect mantis specifically includes:

[0071] Predicting the environmental control capability data of each environmental control device within a preset time through the environmental control capability prediction model, and setting the environmental control capability data threshold;

[0072] Acquire the environmental control capability data of each environmental control device at each timestamp according to the environmental control capability data of each environmental control device within a preset time;

[0073] Calculate the Euclidean distance between the environmental control capability data of each environmental control device at each timestamp and the environmental control capability data threshold;

[0074] The timestamp of the environmental control capability data corresponding to the Euclidean distance value being lower than the preset Euclidean distance threshold is obtained, and the timestamp of the environmental control capability data corresponding to the Euclidean distance value being lower than the preset Euclidean distance threshold is taken as the starting point of the abnormal state, and an early warning is issued at the same time.

[0075] It should be noted that this method can provide early warning of abnormal shelters.

[0076] In addition, the method further comprises:

[0077] Acquire the meteorological characteristic data of the target area within a preset time and the topographic data of the location of the habitats and shelters of the natural enemy insect mantises in the target area;

[0078] Constructing a three-dimensional terrain model map according to the terrain data of the locations of the habitats and shelters of the natural enemy insect mantises in the target area;

[0079] Acquire estimated climate characteristics that may cause natural disasters based on the meteorological characteristic data of the target area within a preset time, and fit the estimated climate characteristics that may cause natural disasters into the three-dimensional terrain model map to form a dynamic analysis map;

[0080] The regional location of the natural disaster in the dynamic analysis diagram is obtained, and an early warning is issued according to the regional location of the natural disaster in the dynamic analysis diagram. At the same time, relevant measures are recommended for prevention and control.

[0081] It should be noted that due to the occurrence of bad weather, natural disasters may occur in the target area according to the different terrains, and the estimated climate characteristics that may cause natural disasters are fitted into the three-dimensional model map of the terrain through virtual reality technology to form a dynamic analysis map, so as to provide early warning. The estimated climate characteristics include bad weather such as heavy rain and heavy snow. This method can provide early warning and reduce losses.

[0082] like Figure 3 As shown, the second aspect of the present invention provides a natural enemy insect mantis breeding management system 4 based on environmental simulation, including a memory 41 and a processor 42, wherein the memory 41 includes a natural enemy insect mantis breeding management method program based on environmental simulation, and when the natural enemy insect mantis breeding management method program based on environmental simulation is executed by the processor 42, the steps of the natural enemy insect mantis breeding management method based on environmental simulation are implemented. Among them, they include:

[0083] Obtain data information on the living environment suitable for the natural enemy insect mantis through big data, and build a habitat shelter for the natural enemy insect mantis based on the data information on the living environment suitable for the natural enemy insect mantis;

[0084] By configuring environmental control equipment in the habitat shelter, and obtaining historical environmental control capability data of each type of environmental control equipment within a preset time, an environmental control capability prediction model is constructed according to the historical environmental control capability data of each type of environmental control equipment within a preset time;

[0085] Predicting the environmental control capability data of each type of environmental control equipment within a preset time through an environmental control capability prediction model, and obtaining the living environment data in the habitat shelter of the natural enemy insect mantis within the preset time;

[0086] Environmental simulation is performed based on the living environment data in the habitat shelter of the natural enemy insect mantis within a preset time and the environmental regulation ability data within a preset time, and abnormal conditions in the habitat shelter of the natural enemy insect mantis are monitored.

[0087] Furthermore, in the natural enemy insect mantis breeding management system based on environmental simulation, data information of a living environment suitable for the survival of the natural enemy insect mantis is obtained through big data, and a habitat shelter for the natural enemy insect mantis is constructed based on the data information of a living environment suitable for the survival of the natural enemy insect mantis, specifically including:

[0088] Through big data, we can obtain the data information of the living environment suitable for the natural enemy insect mantis to survive, and obtain the environmental characteristic data of each area in the target area in each season, and introduce the Mahalanobis distance measurement method;

[0089] The Mahalanobis distance value between the environmental characteristic data of each area in the target area in each season and the data information of the living environment suitable for the natural enemy insect mantis to survive is calculated according to the Mahalanobis distance measurement method;

[0090] Counting the living environment data information corresponding to the Mahalanobis distance value not greater than the Mahalanobis distance threshold, and obtaining the number of occurrences of the living environment data information corresponding to the Mahalanobis distance value not greater than the Mahalanobis distance threshold in each area;

[0091] The areas where the living environment data information corresponding to the Mahalanobis distance value not greater than the Mahalanobis distance threshold appears the most times are selected as priority layout areas, and habitat shelters for the natural enemy insect mantis are constructed in the priority layout areas.

[0092] Furthermore, in the natural enemy insect mantis breeding management system based on environmental simulation, historical environmental regulation capability data of each type of environmental regulation equipment within a preset time is obtained, and an environmental regulation capability prediction model is constructed according to the historical environmental regulation capability data of each type of environmental regulation equipment within a preset time, specifically including:

[0093] Obtain the historical environmental control capability data of each type of environmental control equipment within a preset time, and introduce the graph neural network to input the historical environmental control capability data of each type of environmental control equipment within a preset time into the graph neural network;

[0094] The type of environmental control equipment is used as the first graph node, and the historical environmental control capability data is used as the second graph node, a directed description relationship is constructed, and the first graph node and the second graph node are connected according to the directed description relationship to construct a topological structure graph;

[0095] Obtaining a topological structure diagram corresponding to each type of environmental control equipment, obtaining a related adjacency matrix based on the topological structure diagram corresponding to each type of environmental control equipment, and constructing adjacency matrix change feature data within a preset time based on the related adjacency matrix;

[0096] An environmental regulation capability prediction model is constructed based on a deep neural network, and the characteristic data of the adjacency matrix changes within a preset time are input into the environmental regulation capability prediction model for training.

[0097] Furthermore, in the natural enemy insect mantis breeding management system based on environmental simulation, the environmental regulation capability prediction model is used to predict the environmental regulation capability data of each type of environmental regulation equipment within a preset time, specifically including:

[0098] Obtaining environmental control capability data of each type of environmental control equipment within the last preset time, and inputting the environmental control capability data of each type of environmental control equipment within the last preset time into the environmental control capability prediction model for prediction;

[0099] By prediction, the environmental control capability data of each environmental control device type within a preset time is obtained, and the environmental control capability data of each environmental control device type within the preset time is output.

[0100] Furthermore, in the natural enemy insect mantis breeding management system based on environmental simulation, environmental simulation is performed according to the living environment data in the habitat shelter of the natural enemy insect mantis within a preset time and the environmental regulation ability data within a preset time, specifically including:

[0101] Obtaining data information on the living environment suitable for the natural enemy insect mantis to survive, and setting a control benchmark based on the data information on the living environment suitable for the natural enemy insect mantis to survive;

[0102] Calculate the environmental data that needs to be regulated based on the regulation benchmark and the living environment data in the habitat shelter of the natural enemy insect mantis within the preset time, and determine whether the environmental data that needs to be regulated is greater than the environmental regulation capacity data within the preset time;

[0103] When the environmental data to be regulated is not greater than the environmental regulation capacity data within the preset time, each environmental regulation device is regulated according to the regulation benchmark, and the environment of the habitat shelter of the natural enemy insect mantis is simulated;

[0104] When the environmental data that needs to be regulated is greater than the environmental regulation capacity data within the preset time, the location information of the habitat shelter of the corresponding natural enemy insect mantis is obtained, and an early warning is issued based on the location information of the habitat shelter of the corresponding natural enemy insect mantis.

[0105] Furthermore, in the natural enemy insect mantis breeding management system based on environmental simulation, the abnormal state in the habitat shelter of the natural enemy insect mantis is monitored, specifically including:

[0106] Predicting the environmental control capability data of each environmental control device within a preset time through the environmental control capability prediction model, and setting the environmental control capability data threshold;

[0107] Acquire the environmental control capability data of each environmental control device at each timestamp according to the environmental control capability data of each environmental control device within a preset time;

[0108] Calculate the Euclidean distance between the environmental control capability data of each environmental control device at each timestamp and the environmental control capability data threshold;

[0109] The timestamp of the environmental control capability data corresponding to the Euclidean distance value being lower than the preset Euclidean distance threshold is obtained, and the timestamp of the environmental control capability data corresponding to the Euclidean distance value being lower than the preset Euclidean distance threshold is taken as the starting point of the abnormal state, and an early warning is issued at the same time.

[0110] The third aspect of the present invention provides a computer-readable storage medium, including a program for a method for breeding and managing a natural enemy insect mantis based on environmental simulation. When the program for the method for breeding and managing a natural enemy insect mantis based on environmental simulation is executed by a processor, the steps of the method for breeding and managing a natural enemy insect mantis based on environmental simulation are implemented.

[0111] 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.

[0112] 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.

[0113] 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.

[0114] 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.

[0115] 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.

[0116] 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 who is familiar with the technical field 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 raising and managing natural enemy insect mantises based on environmental simulation, characterized in that: include: Obtaining data information on a living environment suitable for the survival of the natural enemy insect mantis through big data, and constructing a habitat shelter for the natural enemy insect mantis based on the data information on a living environment suitable for the survival of the natural enemy insect mantis; By configuring environmental control equipment in the habitat shelter, and obtaining historical environmental control capability data of each type of environmental control equipment within a preset time, an environmental control capability prediction model is constructed according to the historical environmental control capability data of the type of environmental control equipment within the preset time; Predicting the environmental control capability data of each type of environmental control equipment within a preset time by using the environmental control capability prediction model, and obtaining the living environment data in the habitat shelter of the natural enemy insect mantis within the preset time; Environmental simulation is performed based on the living environment data in the habitat shelter of the natural enemy insect mantis within the preset time and the environmental regulation ability data within the preset time, and the abnormal state in the habitat shelter of the natural enemy insect mantis is monitored.

2. The method for raising and managing the natural enemy insect mantis based on environmental simulation according to claim 1, characterized in that: Obtaining data information on a living environment suitable for the survival of the natural enemy insect mantis through big data, and constructing a habitat shelter for the natural enemy insect mantis based on the data information on a living environment suitable for the survival of the natural enemy insect mantis, specifically including: Through big data, we can obtain the data information of the living environment suitable for the natural enemy insect mantis to survive, and obtain the environmental characteristic data of each area in the target area in each season, and introduce the Mahalanobis distance measurement method; Calculate the Mahalanobis distance value between the environmental characteristic data of each area in the target area in each season and the living environment data information suitable for the survival of the natural enemy insect mantis according to the Mahalanobis distance measurement method; Counting the living environment data information corresponding to the Mahalanobis distance value not greater than the Mahalanobis distance threshold, and obtaining the number of occurrences of the living environment data information corresponding to the Mahalanobis distance value not greater than the Mahalanobis distance threshold in each area; The area where the living environment data information corresponding to the Mahalanobis distance value not greater than the Mahalanobis distance threshold appears the most times is taken as the priority layout area, and a habitat shelter for the natural enemy insect mantis is constructed in the priority layout area.

3. The method for raising and managing the natural enemy insect mantis based on environmental simulation according to claim 1, characterized in that: Acquiring historical environmental control capability data of each type of environmental control equipment within a preset time, and constructing an environmental control capability prediction model according to the historical environmental control capability data of the type of environmental control equipment within the preset time, specifically including: Obtain historical environmental control capability data of each type of environmental control equipment within a preset time, and introduce a graph neural network to input the historical environmental control capability data of each type of environmental control equipment within a preset time into the graph neural network; Taking the type of environmental control equipment as the first graph node and the historical environmental control capability data as the second graph node, constructing a directed description relationship, and connecting the first graph node and the second graph node according to the directed description relationship to construct a topological structure graph; Obtaining a topological structure diagram corresponding to each type of environmental control equipment, obtaining a related adjacency matrix based on the topological structure diagram corresponding to each type of environmental control equipment, and constructing adjacency matrix change feature data within a preset time based on the related adjacency matrix; An environmental regulation capability prediction model is constructed based on a deep neural network, and the characteristic data of the adjacency matrix changes within the preset time are input into the environmental regulation capability prediction model for training.

4. The method for raising and managing the natural enemy insect mantis based on environmental simulation according to claim 1, characterized in that: Predicting the environmental control capability data of each type of environmental control equipment within a preset time by using the environmental control capability prediction model specifically includes: Obtaining environmental control capability data of each type of environmental control equipment within the last preset time, and inputting the environmental control capability data of each type of environmental control equipment within the last preset time into the environmental control capability prediction model for prediction; By prediction, the environmental control capability data of each environmental control device type within a preset time is obtained, and the environmental control capability data of each environmental control device type within the preset time is output.

5. The method for raising and managing the natural enemy insect mantis based on environmental simulation according to claim 1, characterized in that: The environmental simulation is performed according to the living environment data in the habitat shelter of the natural enemy insect mantis within the preset time and the environmental regulation ability data within the preset time, specifically including: Acquire data information on a living environment suitable for the survival of a natural enemy insect mantis, and set a control benchmark according to the data information on a living environment suitable for the survival of a natural enemy insect mantis; Calculate the environmental data that needs to be regulated based on the regulation benchmark and the living environment data in the habitat shelter of the natural enemy insect mantis within a preset time, and determine whether the environmental data that needs to be regulated is greater than the environmental regulation capacity data within the preset time; When the environmental data to be regulated is not greater than the environmental regulation capacity data within the preset time, each environmental regulation device is regulated according to the regulation benchmark, and an environmental simulation is performed on the habitat shelter of the natural enemy insect mantis; When the environmental data that needs to be regulated is greater than the environmental regulation capacity data within the preset time, the location information of the habitat and shelter of the corresponding natural enemy insect mantis is obtained, and an early warning is issued based on the location information of the habitat and shelter of the corresponding natural enemy insect mantis.

6. The method for raising and managing the natural enemy insect mantis based on environmental simulation according to claim 1, characterized in that: Monitor abnormal conditions in the habitats of mantises, natural enemy insects, including: Predicting the environmental control capability data of each environmental control device within a preset time through the environmental control capability prediction model, and setting the environmental control capability data threshold; Acquire the environmental control capability data of each environmental control device at each timestamp according to the environmental control capability data of each environmental control device within a preset time; Calculate the Euclidean distance between the environmental control capability data of each environmental control device at each timestamp and the environmental control capability data threshold; The timestamp of the environmental control capability data corresponding to the Euclidean distance value being lower than the preset Euclidean distance threshold is obtained, and the timestamp of the environmental control capability data corresponding to the Euclidean distance value being lower than the preset Euclidean distance threshold is used as the starting point of the abnormal state, and an early warning is issued at the same time.

7. A natural enemy insect mantis feeding and management system based on environmental simulation, characterized in that: It comprises a memory and a processor, wherein the memory comprises a method program for breeding and managing a natural enemy insect mantis based on environmental simulation, and when the method program for breeding and managing a natural enemy insect mantis based on environmental simulation is executed by the processor, the steps of the method for breeding and managing a natural enemy insect mantis based on environmental simulation as described in any one of claims 1 to 6 are implemented.

8. A computer-readable storage medium, characterized in that: It includes a method program for breeding and managing a natural enemy insect mantis based on environmental simulation. When the method program for breeding and managing a natural enemy insect mantis based on environmental simulation is executed by a processor, the steps of the method for breeding and managing a natural enemy insect mantis based on environmental simulation as described in any one of claims 1 to 6 are implemented.

Citation Information

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