A Method for the Rearing and Management of Mantises, Natural Enemy Insects Based on Environmental Simulation

Abstract

This invention relates to a method for the breeding and management of mantises, a natural enemy insect, based on environmental simulation. It belongs to the field of mantis breeding and management technology. This invention constructs an environmental regulation capability prediction model to predict the environmental regulation capability data of each type of environmental regulation equipment within a preset time period. It also acquires the living environment data of the mantises' habitats within the preset time period. Finally, based on the living environment data and environmental regulation capability data of the mantises' habitats within the preset time period, environmental simulation is performed, and abnormal states within the mantises' habitats are monitored. This invention improves the survival rate of mantises in breeding and reduces breeding costs by simulating the living environment data of mantises' habitats based on suitable living environment data.

Description

Technical Field

[0001] This invention relates to the field of mantis breeding and management technology, and in particular to a method for breeding and managing mantises, which are natural enemies of mantises, based on environmental simulation. Background Technology

[0002] The praying mantis is an important predatory insect, with a large appetite and a wide predatory range, making it a powerful tool for biological pest control. However, decades of use of chemical pesticides have polluted the natural environment and severely damaged biodiversity, leading to a decline in mantis populations and an increase in pests, along with a significant rise in pesticide resistance. In organic and sustainable agriculture practices, using natural enemies like mantises for biological pest control is a crucial strategy to reduce reliance on chemical pesticides. However, mantises have a long life cycle and exhibit severe cannibalistic behavior, making artificial breeding of them very costly with current technology. While some researchers have developed artificial feed for mantises, the breeding efficiency is low, only sufficient for short-term rearing, and sometimes not even enough to complete a generation. This is because mantises prefer to feed on live insects, especially those that perch on plants after flying, and their large appetites significantly increase the cost of artificially raising live insects for the mantises. The mantis egg case, known as Sangpiaoxiao in traditional Chinese medicine, has various medicinal uses. Mantises have medicinal properties, including strengthening the kidneys and reducing urination, tonifying the kidneys and boosting yang, reducing urinary frequency, and astringing. They can also be used to treat symptoms such as leukorrhea and irregular menstruation in women. Besides the medicinal value of the egg case, the dried adult mantis can also be used medicinally, possessing functions of nourishing and strengthening the body, invigorating the kidneys and replenishing essence, and stopping convulsions and calming nerves. It is mainly used to treat symptoms such as physical weakness, impotence, seminal emission, infantile convulsions, enuresis, hemorrhoids, and neurasthenia. Based on the biological control and medicinal value of mantises, and considering the high cost of existing indoor artificial mantis breeding, a low-cost breeding scheme is designed that simulates the natural habitat of mantises, using a habitat and sanctuary to automatically feed them by trapping natural prey. Simultaneously, during the breeding process, environmental conditions are monitored, and timely artificial intervention is carried out to create a favorable living environment, thereby obtaining a large quantity of mantis products. Summary of the Invention

[0003] This invention overcomes the shortcomings of the prior art and provides a method for the breeding and management of mantises, natural enemy insects, based on environmental simulation.

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

[0005] The first aspect of this invention provides a method for the rearing and management of mantises, natural enemy insects, based on environmental simulation, comprising:

[0006] Data on the suitable living environment of the natural enemy insect, the praying mantis, is obtained through big data, and a habitat and sanctuary for the natural enemy insect, the praying mantis, is constructed based on this data.

[0007] By configuring environmental control equipment in habitats and shelters, and acquiring historical environmental control capability data for each type of environmental control equipment within a preset time period, an environmental control capability prediction model is constructed based on the historical environmental control capability data for each type of environmental control equipment within a preset time period.

[0008] The environmental regulation capability prediction model predicts the environmental regulation capability data of each type of environmental regulation equipment within a preset time period, and obtains the living environment data of the natural enemy insect, the praying mantis, within its habitat within a preset time period.

[0009] Environmental simulations were performed based on data on the living environment of the natural enemy insect mantis's habitat and sanctuary within a preset time period, as well as data on its environmental regulation capabilities within the preset time period, and abnormal states within the natural enemy insect mantis's habitat and sanctuary were monitored.

[0010] Furthermore, in the environmental simulation-based breeding and management method for mantises, natural enemy insects, data on suitable living environments for these insects are obtained through big data analysis. Based on this data, habitats for the mantises are constructed, specifically including:

[0011] By using big data to obtain information on the suitable living environment of the natural enemy insect, the praying mantis, and to obtain environmental characteristic data of each area in the target region in each season, the Mahalanobis distance metric method is introduced.

[0012] The Mahalanobis distance value between the environmental characteristic data of each area in the target area in each season and the living environment data of the natural enemy insect, the praying mantis, is calculated according to the Mahalanobis distance metric method.

[0013] The data on living environment where the Mahalanobis distance value is not greater than the Mahalanobis distance threshold is statistically analyzed, and the frequency of occurrence of living environment data where the Mahalanobis distance value is not greater than the Mahalanobis distance threshold is obtained for each region.

[0014] The region with the most occurrences of living environment data information corresponding to Mahalanobis distance values ​​not greater than the Mahalanobis distance threshold is designated as the priority deployment region, and a habitat and sanctuary for the natural enemy insect, the praying mantis, is constructed in the priority deployment region.

[0015] Furthermore, in the environmental simulation-based method for the rearing and management of mantises, a natural enemy insect, historical environmental control capability data for each type of environmental control equipment is obtained within a preset time period. An environmental control capability prediction model is then constructed based on this historical environmental control capability data for each type of equipment within the preset time period. Specifically, this includes:

[0016] Historical environmental control capability data of each type of environmental control equipment within a preset time period is obtained, and a graph neural network is introduced to input the historical environmental control capability data of each type of environmental control equipment within a preset time period into the graph neural network;

[0017] Using the type of environmental control equipment as the first graph node and historical environmental control capacity data as the second graph node, a directed descriptive relationship is constructed. The first graph node and the second graph node are connected according to the directed descriptive relationship to construct a topology graph.

[0018] Obtain the topology diagram corresponding to each type of environmental control equipment, obtain the relevant adjacency matrix based on the topology diagram corresponding to each type of environmental control equipment, and construct adjacency matrix change feature data within a preset time based on the relevant adjacency matrix.

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

[0020] Furthermore, in the environmental simulation-based method for raising and managing mantises, natural enemy insects, the environmental control capability prediction model predicts the environmental control capability data of each type of environmental control equipment within a preset time period, specifically including:

[0021] Get the environmental control capability data of each type of environmental control equipment within the previous preset time period, and input the environmental control capability data of each type of environmental control equipment within the previous preset time period into the environmental control capability prediction model for prediction.

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

[0023] Furthermore, in the environmental simulation-based method for the rearing and management of mantises, natural enemy insects, environmental simulation is performed based on the living environment data of the mantises' habitats within the preset time period and the environmental regulation capacity data within the preset time period. Specifically, this includes:

[0024] Obtain data on the suitable living environment for the natural enemy insect, the praying mantis, and set control benchmarks based on the data on the suitable living environment for the natural enemy insect, the praying mantis.

[0025] Based on the aforementioned control benchmark and the living environment data of the natural enemy insect, the praying mantis, within the habitat and sanctuary within a preset time period, the environmental data that needs to be controlled is calculated, and it is determined whether the environmental data that needs to be controlled is greater than the environmental control capacity data within the preset time period.

[0026] When the environmental data that needs to be regulated is not greater than the environmental regulation capacity data within the preset time, the environmental regulation equipment is regulated according to the regulation benchmark, and the habitat and shelter of the natural enemy insect, the praying mantis, are simulated.

[0027] When the environmental data requiring regulation exceeds the environmental regulation capacity data within the preset time, the location information of the habitat of the corresponding natural enemy insect, the mantis, is obtained, and an early warning is issued based on the location information of the habitat of the corresponding natural enemy insect, the mantis.

[0028] Furthermore, in the environmental simulation-based rearing and management method for mantises, which targets natural enemies, abnormal conditions within their habitats are monitored, specifically including:

[0029] The environmental control capability prediction model is used to predict the environmental control capability data of each environmental control device within a preset time, and a threshold for the environmental control capability data is set.

[0030] Based on the environmental control capability data of each environmental control device within a preset time period, obtain the environmental control capability data of each environmental control device at each timestamp.

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

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

[0033] A second aspect of the present invention provides a breeding and management system for mantises, natural enemies of the insects, based on environmental simulation, including a memory and a processor. The memory includes a program for a method of breeding and managing mantises, natural enemies of the insects, based on environmental simulation. When the program is executed by the processor, the steps of the method of breeding and managing mantises, natural enemies of the insects, based on environmental simulation are implemented.

[0034] A third aspect of the present invention provides a computer-readable storage medium, including a program for the breeding and management of mantises, natural enemies of mantises, based on environmental simulation. When the program is executed by a processor, it implements the steps of the method for breeding and managing mantises, natural enemies of mantises, based on environmental simulation.

[0035] This invention addresses the shortcomings of the prior art and has the following beneficial effects:

[0036] This invention utilizes big data to obtain suitable living environment data for the mantis's natural enemy insects. Based on this data, it constructs habitats and sanctuaries for the mantises. Then, by configuring environmental control devices within these sanctuaries and acquiring historical environmental control capabilities data for each device type over a preset time period, it constructs an environmental control capability prediction model. This model predicts the environmental control capabilities of each device type over the preset time period and acquires the living environment data within the mantis's habitat and sanctuaries over the same time period. Finally, it performs environmental simulation based on the living environment data and environmental control capability data within the mantis's habitat and sanctuaries over the preset time period, and monitors for abnormal states within these habitats. This invention, by simulating the living environment data within the mantis's habitat and sanctuaries based on suitable living environment data, can improve the survival rate of mantises in aquaculture and reduce breeding costs. Attached Figure Description

[0037] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other embodiments can be obtained from these drawings without creative effort.

[0038] Figure 1 A flowchart illustrating the overall process of raising and managing mantises, natural enemy insects, based on environmental simulation is presented.

[0039] Figure 2 A partial flowchart of a method for the rearing and management of mantises, natural enemy insects, based on environmental simulation is shown.

[0040] Figure 3 A system block diagram of a mantis breeding and management system based on environmental simulation is shown. Detailed Implementation

[0041] To better understand the above-mentioned objectives, features, and advantages of the present invention, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be noted that, unless otherwise specified, the embodiments and features described in these embodiments can be combined with each other.

[0042] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein, and therefore the scope of protection of the 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 the rearing and management of mantises, natural enemy insects, based on environmental simulation, comprising:

[0044] S102: Obtain data on the suitable living environment of the natural enemy insect mantis through big data, and construct a habitat and sanctuary for the natural enemy insect mantis based on the data on the suitable living environment of the natural enemy insect mantis.

[0045] S104: By configuring environmental control equipment in habitats and shelters, and obtaining historical environmental control capacity data for each type of environmental control equipment within a preset time period, an environmental control capacity prediction model is constructed based on the historical environmental control capacity data for each type of environmental control equipment within a preset time period.

[0046] S106: Predict the environmental control capability data of each type of environmental control equipment within a preset time period using an environmental control capability prediction model, and obtain the living environment data of the natural enemy insect, the praying mantis, within the habitat of the praying mantis within the preset time period.

[0047] S108: Based on the living environment data of the natural enemy insect mantis in its habitat and sanctuary within a preset time period and the environmental regulation ability data within a preset time period, perform environmental simulation and monitor abnormal conditions in the natural enemy insect mantis's habitat and sanctuary.

[0048] It should be noted that this invention improves the survival rate of mantises in breeding and reduces breeding costs by simulating the living environment data of the natural enemy insect mantis in its habitat based on the suitable living environment data of the natural enemy insect mantis.

[0049] like Figure 2 As shown, further, in the environmental simulation-based breeding and management method for mantises, natural enemy insects, suitable living environment data for their survival is obtained through big data, and habitats for these insects are constructed based on this data. Specifically, this includes:

[0050] S202: Obtain information on the suitable living environment of the natural enemy insect, the praying mantis, through big data, and obtain environmental characteristic data of each area in the target region in each season, and introduce Mahalanobis distance measurement method;

[0051] S204: Calculate the Mahalanobis distance between the environmental characteristic data of each area in the target area in each season and the data on the suitable living environment of the natural enemy insect, the praying mantis, according to the Mahalanobis distance metric method.

[0052] S206: Statistically analyze the living environment data information corresponding to Mahalanobis distance values ​​not greater than the Mahalanobis distance threshold, and obtain the number of times the living environment data information corresponding to Mahalanobis distance values ​​not greater than the Mahalanobis distance threshold occurs in each region;

[0053] S208: The area with the most occurrences of living environment data information corresponding to Mahalanobis distance values ​​not greater than the Mahalanobis distance threshold is designated as the priority deployment area, and a habitat and sanctuary for the natural enemy insect, the mantis, is constructed in the priority deployment area.

[0054] It should be noted that the suitable living environment data for the natural enemy insect, the praying mantis, includes temperature and humidity. By prioritizing the areas where the living environment data corresponding to the Mahalanobis distance value is no greater than the Mahalanobis distance threshold appears most frequently, it is possible to further select better areas for breeding and reduce production costs.

[0055] Furthermore, in the environmental simulation-based method for the rearing and management of mantises, a natural enemy insect, historical environmental control capability data for each type of environmental control equipment is obtained within a preset time period. Based on this historical environmental control capability data, an environmental control capability prediction model is constructed, specifically including:

[0056] Historical environmental control capability data for each type of environmental control equipment within a preset time period is obtained, and a graph neural network is introduced to input the historical environmental control capability data for each type of environmental control equipment within a preset time period into the graph neural network;

[0057] Using the type of environmental control equipment as the first graph node and the historical environmental control capacity data as the second graph node, a directed descriptive relationship is constructed. Based on the directed descriptive relationship, the first graph node and the second graph node are connected to construct a topology graph.

[0058] Obtain the topology diagram corresponding to each type of environmental control equipment, obtain the relevant adjacency matrix based on the topology diagram corresponding to each type of environmental control equipment, and construct the adjacency matrix change feature data within a preset time based on the relevant adjacency matrix;

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

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

[0061] Furthermore, in the environmental simulation-based method for the rearing and management of mantises, a natural enemy insect, the environmental control capability prediction model is used to predict the environmental control capability data of each type of environmental control equipment within a preset time period, specifically including:

[0062] Get the environmental control capacity data of each type of environmental control equipment within the previous preset time period, and input the environmental control capacity data of each type of environmental control equipment within the previous preset time period into the environmental control capacity prediction model for prediction.

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

[0064] Furthermore, in the environmental simulation-based method for the rearing and management of mantises, natural enemy insects, environmental simulation is conducted based on data on the living environment of the mantises' habitats and sanctuaries within a preset time period, as well as data on their environmental regulation capabilities within the same time period. This simulation specifically includes:

[0065] Obtain data on the suitable living environment for the natural enemy insect, the praying mantis, and set control benchmarks based on this data.

[0066] Based on the control benchmark and the living environment data of the natural enemy insect, the mantis, in its habitat within a preset time, the environmental data that needs to be controlled is calculated, and it is determined whether the environmental data that needs to be controlled is greater than the environmental control capacity data within the preset time.

[0067] When the environmental data that needs to be regulated is not greater than the environmental regulation capacity data within the preset time, the environmental regulation equipment is regulated according to the regulation benchmark, and the habitat and shelter of the natural enemy insect, the praying mantis, are simulated.

[0068] When the environmental data that needs to be regulated exceeds the environmental regulation capacity data within a preset time, the location information of the habitat and shelter of the corresponding natural enemy insect, the 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, the mantis.

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

[0070] Furthermore, in the environmental simulation-based rearing and management method for mantises, which targets natural enemies, abnormal conditions within their habitats are monitored, specifically including:

[0071] The environmental control capability prediction model is used to predict the environmental control capability data of each environmental control device within a preset time, and a threshold for the environmental control capability data is set.

[0072] Based on the environmental control capability data of each environmental control device within a preset time period, obtain the environmental control capability data of each environmental control device at each timestamp.

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

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

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

[0076] In addition, this method also includes:

[0077] Acquire meteorological characteristic data of the target area within a preset time period, as well as topographic data on the location of the habitats and shelters of the mantis, a natural enemy insect in the target area;

[0078] A three-dimensional terrain model is constructed based on the terrain data of the locations of the habitats and shelters of the mantises, the natural enemies of the target area.

[0079] Based on the meteorological characteristic data of the target area within a preset time period, the predicted climate characteristics that will lead to natural disasters are obtained, and the predicted climate characteristics that will lead to natural disasters are fitted onto the three-dimensional terrain model map to form a dynamic analysis map.

[0080] The system obtains the location of natural disasters in the dynamic analysis map, issues early warnings based on these locations, and recommends relevant prevention and control measures.

[0081] It should be noted that due to severe weather, natural disasters may occur in the target area depending on the terrain. Virtual reality technology is used to fit the predicted climate characteristics that lead to these natural disasters onto the three-dimensional terrain model, creating a dynamic analysis map for early warning. The predicted climate characteristics include severe weather such as heavy rain and heavy snow. This method enables early warning and reduces losses.

[0082] like Figure 3 As shown, the second aspect of the present invention provides a mantis breeding and management system 4 based on environmental simulation, comprising a memory 41 and a processor 42. The memory 41 includes a program for a mantis breeding and management method based on environmental simulation. When the processor 42 executes the program, it implements the steps of the mantis breeding and management method based on environmental simulation. These steps include:

[0083] We obtain data on the suitable living environment of the natural enemy insect, the praying mantis, through big data, and construct a habitat and sanctuary for the natural enemy insect, the praying mantis, based on this data.

[0084] By configuring environmental control equipment in habitats and shelters and obtaining historical environmental control capacity data for each type of environmental control equipment within a preset time period, an environmental control capacity prediction model is constructed based on the historical environmental control capacity data for each type of environmental control equipment within a preset time period.

[0085] The environmental control capability prediction model predicts the environmental control capability data of each type of environmental control equipment within a preset time period, and obtains the living environment data of the natural enemy insect, the praying mantis, within its habitat within a preset time period.

[0086] Environmental simulations were conducted based on data on the living environment of the mantis's natural enemy insect habitat and its environmental regulation capabilities within a preset time period, and abnormal conditions within the mantis's natural enemy insect habitat were monitored.

[0087] Furthermore, in the environmental simulation-based breeding and management system for predatory mantises, big data is used to obtain information on the suitable living environment for predatory mantises, and habitats for these predatory mantises are constructed based on this information. Specifically, this includes:

[0088] By using big data to obtain information on the suitable living environment of the natural enemy insect, the praying mantis, and to obtain environmental characteristic data of each area in the target region in each season, the Mahalanobis distance metric method is introduced.

[0089] The Mahalanobis distance value between the environmental characteristic data of each area in the target area in each season and the data on the suitable living environment of the natural enemy insect, the praying mantis, is calculated according to the Mahalanobis distance metric method.

[0090] The data on living environment where the Mahalanobis distance value is not greater than the Mahalanobis distance threshold is statistically analyzed, and the frequency of occurrence of living environment data where the Mahalanobis distance value is not greater than the Mahalanobis distance threshold is obtained for each region.

[0091] The area with the most occurrences of living environment data information corresponding to Mahalanobis distance values ​​not exceeding the Mahalanobis distance threshold is designated as the priority deployment area, and a habitat and sanctuary for the natural enemy insect, the praying mantis, is constructed in the priority deployment area.

[0092] Furthermore, in the environmental simulation-based breeding and management system for mantises, a natural enemy insect, historical environmental control capability data for each type of environmental control equipment within a preset time period is obtained. Based on this historical environmental control capability data, an environmental control capability prediction model is constructed, specifically including:

[0093] Historical environmental control capability data for each type of environmental control equipment within a preset time period is obtained, and a graph neural network is introduced to input the historical environmental control capability data for each type of environmental control equipment within a preset time period into the graph neural network;

[0094] Using the type of environmental control equipment as the first graph node and the historical environmental control capacity data as the second graph node, a directed descriptive relationship is constructed. Based on the directed descriptive relationship, the first graph node and the second graph node are connected to construct a topology graph.

[0095] Obtain the topology diagram corresponding to each type of environmental control equipment, obtain the relevant adjacency matrix based on the topology diagram corresponding to each type of environmental control equipment, and construct the adjacency matrix change feature data within a preset time based on the relevant adjacency matrix;

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

[0097] Furthermore, in the environmental simulation-based breeding and management system for mantises, a predictive model for environmental control capabilities is used to predict the environmental control capabilities of each type of environmental control equipment within a preset time period. Specifically, this includes:

[0098] Get the environmental control capacity data of each type of environmental control equipment within the previous preset time period, and input the environmental control capacity data of each type of environmental control equipment within the previous preset time period into the environmental control capacity prediction model for prediction.

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

[0100] Furthermore, in the environmental simulation-based breeding and management system for mantises, environmental simulation is performed based on data on the living environment of the mantises' habitats and sanctuaries within a preset time period, as well as data on their environmental regulation capabilities within the same time period. This simulation specifically includes:

[0101] Obtain data on the suitable living environment for the natural enemy insect, the praying mantis, and set control benchmarks based on this data.

[0102] Based on the control benchmark and the living environment data of the natural enemy insect, the mantis, in its habitat within a preset time, the environmental data that needs to be controlled is calculated, and it is determined whether the environmental data that needs to be controlled is greater than the environmental control capacity data within the preset time.

[0103] When the environmental data that needs to be regulated is not greater than the environmental regulation capacity data within the preset time, the environmental regulation equipment is regulated according to the regulation benchmark, and the habitat and shelter of the natural enemy insect, the praying mantis, are simulated.

[0104] When the environmental data that needs to be regulated exceeds the environmental regulation capacity data within a preset time, the location information of the habitat and shelter of the corresponding natural enemy insect, the 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, the mantis.

[0105] Furthermore, in the environmental simulation-based breeding and management system for mantises, abnormal states within the habitats of mantises are monitored, specifically including:

[0106] The environmental control capability prediction model is used to predict the environmental control capability data of each environmental control device within a preset time, and a threshold for the environmental control capability data is set.

[0107] Based on the environmental control capability data of each environmental control device within a preset time period, obtain the environmental control capability data of each environmental control device at each timestamp.

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

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

[0110] A third aspect of the present invention provides a computer-readable storage medium, including a program for the breeding and management of mantises, natural enemies of mantises, based on environmental simulation. When the program for the breeding and management of mantises, based on environmental simulation, is executed by a processor, it implements the steps of the breeding and management method for mantises, based on environmental simulation.

[0111] In the several embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are merely illustrative. For example, the division of units is only a logical functional division, and in actual implementation, there may be other division methods, such as: multiple units or components can be combined, or integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the various components shown or discussed can be through some interfaces, and the indirect coupling or communication connection between devices or units can be electrical, mechanical, or other forms.

[0112] The units described above as separate components may or may not be physically separate. The components shown as units may or may not be physical units. They may be located in one place or distributed across multiple network units. Some or all of the units may be selected to achieve the purpose of this embodiment according to actual needs.

[0113] In addition, in the various embodiments of the present invention, each functional unit can be integrated into one processing unit, or each unit can be a separate unit, or two or more units can be integrated into one unit; the integrated unit can be implemented in hardware or in the form of hardware plus software functional units.

[0114] Those skilled in the art will understand that all or part of the steps of the above method embodiments can be implemented by hardware related to program instructions. The aforementioned program can be stored in a computer-readable storage medium. When the program is executed, it performs the steps of the above method embodiments. The aforementioned storage medium includes various media capable of storing program code, such as mobile storage devices, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0115] Alternatively, if the integrated units of this invention are implemented as software functional modules and sold or used as independent products, they can also be stored in a computer-readable storage medium. Based on this understanding, the technical solutions of the embodiments of this invention, or the parts that contribute to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the methods of the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as mobile storage devices, ROM, RAM, magnetic disks, or optical disks.

[0116] The above are merely specific embodiments of the present invention, but the scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A method for the rearing and management of mantises, natural enemy insects, based on environmental simulation, characterized in that, include: Data on the suitable living environment of the natural enemy insect, the praying mantis, is obtained through big data, and a habitat and sanctuary for the natural enemy insect, the praying mantis, is constructed based on this data. By configuring environmental control equipment in habitats and shelters, and acquiring historical environmental control capability data for each type of environmental control equipment within a preset time period, an environmental control capability prediction model is constructed based on the historical environmental control capability data for each type of environmental control equipment within a preset time period. The environmental regulation capability prediction model predicts the environmental regulation capability data of each type of environmental regulation equipment within a preset time period, and obtains the living environment data of the natural enemy insect, the praying mantis, within its habitat within a preset time period. Environmental simulation is performed based on the living environment data of the natural enemy insect mantis in its habitat and sanctuary within the preset time period and the environmental regulation ability data within the preset time period, and abnormal states in the natural enemy insect mantis's habitat and sanctuary are monitored. Acquire historical environmental control capability data for each type of environmental control equipment within a preset time period, and construct an environmental control capability prediction model based on the historical environmental control capability data for each type of environmental control equipment within the preset time period, specifically including: Historical environmental control capability data of each type of environmental control equipment within a preset time period is obtained, and a graph neural network is introduced to input the historical environmental control capability data of each type of environmental control equipment within a preset time period into the graph neural network; Using the type of environmental control equipment as the first graph node and historical environmental control capacity data as the second graph node, a directed descriptive relationship is constructed. The first graph node and the second graph node are connected according to the directed descriptive relationship to construct a topology graph. Obtain the topology diagram corresponding to each type of environmental control equipment, obtain the relevant adjacency matrix based on the topology diagram corresponding to each type of environmental control equipment, and construct adjacency matrix change feature data within a preset time based on the relevant adjacency matrix. An environmental regulation capability prediction model is constructed based on a deep neural network, and the adjacency matrix change feature data within the preset time period is input into the environmental regulation capability prediction model for training.

2. The method for breeding and managing mantises, natural enemy insects, based on environmental simulation according to claim 1, is characterized in that, Data on the suitable habitats of the mantis, a natural enemy insect, are obtained through big data analysis. Based on this data, a habitat sanctuary for the mantis is constructed. Specifically, this includes: By using big data to obtain information on the suitable living environment of the natural enemy insect, the praying mantis, and to obtain environmental characteristic data of each area in the target region in each season, the Mahalanobis distance metric method is introduced. The Mahalanobis distance value between the environmental characteristic data of each area in the target area in each season and the living environment data of the natural enemy insect, the praying mantis, is calculated according to the Mahalanobis distance metric method. The data on living environment where the Mahalanobis distance value is not greater than the Mahalanobis distance threshold is statistically analyzed, and the frequency of occurrence of living environment data where the Mahalanobis distance value is not greater than the Mahalanobis distance threshold is obtained for each region. The region with the most occurrences of living environment data information corresponding to Mahalanobis distance values ​​not greater than the Mahalanobis distance threshold is designated as the priority deployment region, and a habitat and sanctuary for the natural enemy insect, the praying mantis, is constructed in the priority deployment region.

3. The method for breeding and managing mantises, natural enemy insects, based on environmental simulation according to claim 1, is characterized in that, The environmental control capability prediction model predicts the environmental control capability data for each type of environmental control equipment within a preset time period, specifically including: Get the environmental control capability data of each type of environmental control equipment within the previous preset time period, and input the environmental control capability data of each type of environmental control equipment within the previous preset time period into the environmental control capability prediction model for prediction. By predicting, the environmental control capability data of each type of environmental control equipment within a preset time period is obtained, and the environmental control capability data of each type of environmental control equipment within the preset time period is output.

4. The method for breeding and managing mantises, natural enemy insects, based on environmental simulation according to claim 1, is characterized in that, Environmental simulation is performed based on data on the living environment of the mantis's natural enemy insect habitat and its environmental regulation capabilities within a preset time period, specifically including: Obtain data on the suitable living environment for the natural enemy insect, the praying mantis, and set control benchmarks based on the data on the suitable living environment for the natural enemy insect, the praying mantis. Based on the aforementioned control benchmark and the living environment data of the natural enemy insect, the praying mantis, within the habitat and sanctuary within a preset time period, the environmental data that needs to be controlled is calculated, and it is determined whether the environmental data that needs to be controlled is greater than the environmental control capacity data within the preset time period. When the environmental data that needs to be regulated is not greater than the environmental regulation capacity data within the preset time, the environmental regulation equipment is regulated according to the regulation benchmark, and the habitat of the natural enemy insect, the praying mantis, is simulated. When the environmental data requiring regulation exceeds the environmental regulation capacity data within the preset time, the location information of the habitat of the corresponding natural enemy insect, the mantis, is obtained, and an early warning is issued based on the location information of the habitat of the corresponding natural enemy insect, the mantis.

5. The method for breeding and managing mantises, natural enemy insects, based on environmental simulation according to claim 1, is characterized in that, Monitoring abnormal conditions within the habitats and sanctuaries of the mantis, a natural enemy insect, specifically including: The environmental control capability prediction model is used to predict the environmental control capability data of each environmental control device within a preset time, and a threshold for the environmental control capability data is set. Based on the environmental control capability data of each environmental control device within a preset time period, obtain the environmental control capability data of each environmental control device at each timestamp. Calculate the Euclidean distance between the environmental control capability data and the environmental control capability data threshold of each environmental control device at each time stamp; Obtain the timestamp of the environmental control capability data corresponding to the Euclidean distance value being lower than the preset Euclidean distance threshold, and use the timestamp of the environmental control capability data corresponding to the Euclidean distance value being lower than the preset Euclidean distance threshold as the starting point of the abnormal state, and issue an early warning at the same time.

6. A mantis breeding and management system based on environmental simulation, characterized in that, The device includes a memory and a processor. The memory includes a program for the breeding and management of mantises, which are natural enemies, based on environmental simulation. When the program is executed by the processor, it implements the steps of the breeding and management method for mantises, which are natural enemies, based on environmental simulation as described in any one of claims 1-5.

7. A computer-readable storage medium, characterized in that, The method includes a program for the rearing and management of mantises, which are natural enemies of the insects, based on environmental simulation. When the program is executed by a processor, it implements the steps of the method for the rearing and management of mantises, which are natural enemies of the insects, based on environmental simulation as described in any one of claims 1-5.

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