Airport insect pest situation analysis method and monitoring system

Abstract

The embodiment of the invention discloses an airport insect pest situation analysis method and a monitoring system. The method comprises the following steps: collecting airport insect situation data, and spraying pesticides to different areas of an airport as required; collecting airport pest situation data after pesticide spraying, and obtaining the pest killing effect of the pesticide based on the data; and analyzing the data so as to monitor the insect pest situation change of the airport in the pesticide spraying treatment process. Compared with the prior art, the pesticide is sprayed as required based on the collected first airport insect situation data, the deinsectization effect of the pesticide is analyzed based on the second airport insect situation data after pesticide spraying, and the airport insect situation change in the pesticide spraying treatment process is monitored based on the data; the insect pest situation change trend is further predicted in combination with the data, and a solution is provided based on a prediction result; according to the scheme, the collected insect condition data can be deeply analyzed and predicted, a complete insect killing, recording, analyzing and predicting integrated system is formed, and data support can be provided for pesticide research.

Description

Technical Field

[0001] The present invention relates to the technical field of airport pest monitoring, and particularly to an airport pest analysis method and a monitoring system. Background Art

[0002] The flight safety of airports is of great importance. Bird strikes are one of the main factors threatening airport flight safety. As the main foraging source of birds, mosquitoes are an important factor attracting birds. Mosquito control is an important measure to control the bird situation.

[0003] Currently, airports usually use the following methods for pest control:

[0004] 1. Using pest control devices for night pest control work. However, the existing pest control devices have a single function and can only carry out pest control independently. They cannot automatically identify and collect pest situation data, and cannot form a complete integrated system for pest control, record analysis, and prediction.

[0005] 2. Using a pest control device based on strong light restriction. This pest control device creates strong light by using high-power point light sources in a weak light environment, forcing light-sensitive insects such as mosquitoes in flight to stop flying and suppressing mosquitoes from taking off in a stopped state, thereby achieving the restriction of mosquitoes. However, this pest control device still cannot adjust the restriction range of mosquitoes according to the actual situation, nor can it conduct in-depth analysis and prediction on the collected pest situation data. Summary of the Invention

[0006] Aiming at the defects of the existing technologies mentioned in the background art, the purpose of the embodiments of the present invention is to provide an airport pest analysis method and a monitoring system.

[0007] To achieve the above purpose, in the first aspect, the embodiments of the present invention provide an airport pest analysis method, including:

[0008] Collecting first airport pest situation data; the first airport pest situation data includes insect species information, the number of insects, the distribution information of insects at the airport, and insect activity information;

[0009] Spraying pesticides on different areas of the airport as needed based on the first airport pest situation data, and obtaining pesticide data;

[0010] Collecting second airport pest situation data after pesticide spraying, and analyzing the pest control effect of the pesticides based on the second airport pest situation data;

[0011] Analyzing the first airport pest situation data, pesticide data, second airport pest situation data, and pest control effect to monitor the changes in the airport pest situation during the pesticide spraying treatment process and provide data for pesticide efficacy research.

[0012] As a preferred implementation manner of the present application, after obtaining the insecticidal effect of the pesticide, the method further includes:

[0013] Controlling a plurality of insecticidal devices distributed in different areas of the airport according to the insecticidal effect.

[0014] Further, as a preferred implementation manner of the present application, the method further includes:

[0015] Performing statistical analysis on the first airport insect situation data and the second airport insect situation data to obtain the trend of insect situation changes;

[0016] Obtaining historical insect situation control data and meteorological data within a future time period;

[0017] Combining the trend of insect situation changes, historical insect situation control data, and meteorological data to predict the insect situation within a future time period;

[0018] Providing an insect situation control direction, an insecticidal device usage strategy, and a pesticide spraying strategy based on the predicted insect situation.

[0019] Among them, the insect situation control direction includes physical prevention and control measures, biological prevention and control measures, and environmental governance measures; the physical prevention and control measures include setting up insect-proof nets or sticky boards around the airport; the biological prevention and control measures include introducing natural enemies of insects to control the number of insects through predation and parasitism relationships between organisms; the environmental governance measures include regularly cleaning weeds and garbage around the airport and selecting green plants with strong insect resistance.

[0020] Optionally, as a specific implementation manner of the present application, obtaining the trend of insect situation changes specifically is:

[0021] Using statistical methods to sort out and analyze the first airport insect situation data and the second airport insect situation data to obtain a plurality of statistical indicators; the statistical indicators include the average value, standard deviation, and coefficient of variation of the number of insects;

[0022] Analyzing the trend of insect situation changes based on a plurality of statistical indicators, including the time distribution and spatial distribution laws of insects.

[0023] Optionally, as another specific implementation manner of the present application, obtaining the trend of insect situation changes specifically is:

[0024] Collecting sample data; the sample data is insect situation data from different airports;

[0025] Based on the sample data, establishing and training an insect situation prediction model;

[0026] Taking the first airport insect situation data and the second airport insect situation data as inputs, inputting them into the insect situation prediction model, and outputting the trend of insect situation changes.

[0027] Further, as a preferred implementation manner of the present application, after obtaining the trend of insect situation changes, the method further includes:

[0028] Based on GIS technology, the first airport insect situation data, the second airport insect situation data are combined with geographical spatial information and then visually displayed.

[0029] In a second aspect, an airport insect situation monitoring system provided by an embodiment of the present application includes a collection module, a monitoring module, a pesticide spraying module, an insect extermination device, and an analysis module;

[0030] The collection module is used to collect the first airport insect situation data; the first airport insect situation data includes insect species information, the number of insects, the distribution information of insects at the airport, and insect activity information;

[0031] The monitoring module is used to control the pesticide spraying module to spray pesticides on different areas of the airport as needed based on the first airport insect situation data, and obtain pesticide data;

[0032] The collection module is further used to collect the second airport insect situation data after pesticide spraying;

[0033] The analysis module is used for:

[0034] Analyzing the insect extermination effect of the pesticide based on the second airport insect situation data;

[0035] Analyzing the first airport insect situation data, the pesticide data, the second airport insect situation data, and the insect extermination effect to monitor the changes in the insect situation at the airport during the pesticide spraying treatment process, and provide data for the research on the efficacy of pesticides;

[0036] The monitoring module is further used to control a plurality of insect extermination devices distributed in different areas of the airport according to the insect extermination effect.

[0037] Implementing the airport insect situation analysis method and monitoring system provided by the embodiments of the present invention, spraying pesticides as needed based on the collected first airport insect situation data, analyzing the insect extermination effect of the pesticide based on the second airport insect situation data after pesticide spraying, monitoring the changes in the insect situation at the airport during the pesticide spraying treatment process based on the first and second airport insect situation data, pesticide data, and insect extermination effect. Further, predicting the trend of insect situation changes by combining the foregoing data, and providing solutions based on the prediction results (such as providing directions for insect situation control, strategies for using insect extermination devices, and pesticide spraying strategies, etc.); the above solutions can deeply analyze and predict the collected insect situation data, form a complete integrated system of insect extermination, record analysis, and prediction, and provide data support for pesticide research. Description of the Drawings

[0038] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following will briefly introduce the drawings required for use in the description of the specific embodiments or the prior art.

[0039] Figure 1 It is a flowchart of the airport pest situation analysis method provided by an embodiment of the present invention;

[0040] Figure 2 It is a block diagram of the airport pest situation monitoring system provided by an embodiment of the present invention. Specific Embodiments

[0041] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0042] It should be understood that when used in this specification and the appended claims, the terms "comprising" and "including" indicate the presence of the described features, wholes, steps, operations, elements, and / or components, but do not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components, and / or their combinations.

[0043] Please refer to Figure 1 , which is the airport pest situation analysis method provided by an embodiment of the present invention, and may include the following steps:

[0044] S1. Collect the first airport pest situation data.

[0045] Among them, the first airport pest situation data includes insect species information, the number of insects, the distribution information of insects at the airport, insect activity information, and environment-related information. It should be noted that this first airport pest situation data refers to the data before pesticide spraying. The embodiments of the present invention plan to analyze the pesticide effect through the pest situation data before and after spraying.

[0046] Specifically, the insect species information may include:

[0047] Various insect species found in the airport area, such as mosquitoes, flies, beetles, moths, bees, etc. Different species of insects may have different impacts on airport operations and the environment. For example, mosquitoes may affect the comfort of passengers, and moths may be attracted by airport lights and affect flight safety, etc.

[0048] The dominant insect species with a large proportion and wide distribution in a specific time period and area, so as to focus on attention and prevention and control.

[0049] Specifically, the insect quantity data may involve:

[0050] Density: By using specific monitoring methods and tools, such as insect monitors, insect-trapping lights, etc., the number of insects in a unit area or space is counted to measure the severity of the insect situation. For example, the number of mosquitoes per cubic meter of space, or the number of beetles per square meter of lawn, etc.

[0051] Insect population dynamics: Track the change of the number of insects over time in the long term, form a curve of the change in insect population density, analyze its trends such as growth, peak, decline, etc., understand the development law of the insect situation, and provide a basis for the formulation and adjustment of prevention and control measures.

[0052] Specifically, the insect distribution information may involve:

[0053] Regional distribution: Clearly define the distribution of insects in different areas of the airport, such as around the runway, near the terminal building, parking lot, greening area, sewage treatment area, etc. The environmental conditions and functions of different areas are different, and the distribution of insects will also vary, which helps to carry out targeted prevention and control operations.

[0054] Vertical distribution: Consider the distribution of insects at different heights, such as the distribution on different floors of airport buildings, at different height levels of trees, at different heights in the air, etc. It is of great significance for evaluating the impact of insects on flight safety and taking corresponding prevention and control measures.

[0055] Specifically, the insect activity information may involve:

[0056] Activity time: Record the peak and trough periods of insect activities, as well as the day-night activity patterns, etc., so as to strengthen the prevention and control and monitoring efforts during the periods when insects are active frequently. For example, mosquitoes are mostly active in the evening and early morning, and some moths have phototaxis and fly towards lights at night.

[0057] Flight behavior: Observe the behavioral characteristics of insects such as flight height, flight speed, flight trajectory, etc., and analyze whether they will interfere with aircraft takeoff and landing, navigation equipment, etc., providing data support for flight safety assessment.

[0058] Specifically, the environment-related information may involve:

[0059] Meteorological data: Collect meteorological factors related to the insect situation, such as temperature, humidity, wind speed, wind direction, precipitation, etc. Meteorological conditions have an important impact on the growth, reproduction, activities, etc. of insects. For example, a high-temperature and high-humidity environment is conducive to the reproduction of mosquitoes, and strong wind weather may affect the flight and distribution of insects.

[0060] Vegetation information: Record the vegetation types, coverage areas, growth conditions, etc. inside and around the airport. Vegetation is the habitat and food source of insects. Different vegetation types will attract different species of insects, and the density and health status of vegetation will also affect the number and distribution of insects.

[0061] S2. Based on the first airport pest data, perform pesticide spraying on different areas of the airport as needed, and obtain pesticide data.

[0062] Specifically, the monitoring module, based on the first airport pest data, controls the pesticide spraying module to perform pesticide spraying on different areas of the airport as needed. In this embodiment, the pesticide spraying module may include a pesticide storage tank, a spraying device, a control device, and a communication device. The monitoring module, based on the analysis of the first airport pest data, sends a control instruction to the communication device, and the communication device transmits the control instruction to the control device so that the control device controls the spraying device to work. The specific control includes the spraying range and the spraying amount. The spraying range can be adjusted from 10 meters to 100 meters, and the spraying amount can be adjusted from 0.1 liter / minute to 1 liter / minute, and the spraying parameters are adjusted according to the actual pest situation.

[0063] That is, through the collaborative work of the monitoring module and the pesticide spraying module in this embodiment, automatic pesticide spraying and automatic adjustment and control of the spraying range, spraying amount, spraying time, etc. can be achieved. Moreover, during the process of the monitoring module controlling the pesticide spraying, the pesticide usage situation will also be recorded.

[0064] S3. Collect the second airport pest data after pesticide spraying, and analyze the pest control effect of the pesticide based on the second airport pest data.

[0065] S4. Control multiple pest control devices distributed in different areas of the airport according to the pest control effect.

[0066] Specifically, the monitoring module controls the opening time and working intensity, etc. of multiple pest control devices according to the pest control effect.

[0067] S5. Analyze and predict the first airport pest data, pesticide data, second airport pest data, and pest control effect to obtain the pest situation change trend, so as to realize the monitoring of the pest situation change in the airport during the pesticide spraying control process and provide data for the research on the pesticide efficacy.

[0068] Specifically, step S5 includes:

[0069] Perform statistical analysis on the first airport pest data and the second airport pest data to obtain the pest situation change trend;

[0070] Obtain historical pest control data and meteorological data within a future time period;

[0071] Combine the pest situation change trend, historical pest control data, and meteorological data to predict the pest situation within a future time period;

[0072] Provide the direction of pest control, the usage strategy of pest control devices, and the pesticide spraying strategy based on the predicted pest situation.

[0073] Among them, the direction of pest control includes physical prevention and control measures, biological prevention and control measures, and environmental management measures; the physical prevention and control measures include setting up insect-proof nets or sticky boards around the airport to prevent insects from entering the airport area, or directly not killing insects; the biological prevention and control measures include introducing natural enemies of insects, such as birds, frogs, or parasitic wasps, etc., to control the number of insects through the predation and parasitism relationships between organisms; the environmental management measures include regularly cleaning weeds and garbage around the airport to reduce the habitats and food sources of insects; reasonably planning the airport greening, selecting plant varieties with strong insect resistance, and optimizing the airport ecological environment.

[0074] Optionally, as an implementation method, the analysis of the pest situation change trend may include:

[0075] Using statistical methods to organize and analyze the pest situation data of the first airport and the pest situation data of the second airport to obtain multiple statistical indicators; the statistical indicators include the average value, standard deviation, and coefficient of variation of the number of insects.

[0076] Analyze the pest situation change trend based on multiple statistical indicators, including the time distribution and spatial distribution rules of insects.

[0077] Optionally, as another implementation method, the analysis of the pest situation change trend may include:

[0078] Collect sample data; the sample data is the pest situation data from different airports.

[0079] Build and train a pest situation prediction model based on the sample data.

[0080] Use the pest situation data of the first airport and the pest situation data of the second airport as inputs, input them into the pest situation prediction model, and output the pest situation change trend.

[0081] In specific implementation, satellite remote sensing technology can be used. Through satellite remote sensing images, analyze the environmental information such as vegetation and terrain of the airport and its surrounding areas, and indirectly infer the possibility and trend of pest occurrence. For example, abnormal changes in vegetation may be related to the occurrence of pests. Use remote sensing images to monitor the growth status and color changes of vegetation, and combine historical data and meteorological information to build a pest situation prediction model.

[0082] In addition, technologies such as image recognition, sensors, and unmanned aerial vehicle monitoring can also be used to collect insect images in the airport area, analyze them, and further combine technologies such as deep learning and neural networks to obtain the pest situation change trend, including but not limited to the types of insects, the appearance time, and the number of insects.

[0083] S6. Based on GIS technology, visualize the first airport pest data and the second airport pest data after combining them with geographical spatial information.

[0084] Implement the airport pest analysis method provided by the embodiments of the present invention. Spray pesticides as needed based on the collected first airport pest data, analyze the pest control effect of the pesticides based on the second airport pest data after pesticide spraying, monitor the changes in airport pest conditions during the pesticide spraying control process based on the first and second airport pest data, pesticide data, and pest control effect. Further, predict the trend of pest condition changes by combining the foregoing data, and provide solutions based on the prediction results (such as providing directions for pest control, strategies for using pest control devices, and pesticide spraying strategies, etc.); the above solutions can achieve in-depth analysis and prediction of the collected pest data, form a complete integrated system of pest control, record analysis, and prediction, and provide data support for pesticide research.

[0085] Based on the same inventive concept, the embodiments of the present invention provide an airport pest monitoring system, as Figure 2 shown, including a collection module, a monitoring module, a pesticide spraying module, a pest control device, and an analysis module;

[0086] The collection module is used to collect the first airport pest data; the first airport pest data includes insect species information, the number of insects, the distribution information of insects at the airport, and insect activity information;

[0087] The monitoring module is used to control the pesticide spraying module to spray pesticides on different areas of the airport as needed based on the first airport pest data, and obtain pesticide data;

[0088] The collection module is further used to collect the second airport pest data after pesticide spraying;

[0089] The analysis module is used for:

[0090] Analyze the pest control effect of the pesticides based on the second airport pest data;

[0091] Analyze the first airport pest data, pesticide data, second airport pest data, and pest control effect to monitor the changes in airport pest conditions during the pesticide spraying control process, and provide data for pesticide efficacy research;

[0092] The monitoring module is further used to control multiple pest control devices distributed in different areas of the airport according to the pest control effect.

[0093] Further, the analysis module is specifically used for:

[0094] Perform statistical analysis on the first airport pest data and the second airport pest data to obtain the trend of pest condition changes;

[0095] Obtain historical pest control data and meteorological data for a future time period;

[0096] Combined with the pest situation change trend, historical pest control data and meteorological data, predict the pest situation for a future time period;

[0097] Based on the predicted pest situation, provide pest control directions, strategies for using pest control devices and pesticide spraying strategies; wherein, the pest control directions include physical prevention and control measures, biological prevention and control measures and environmental management measures; the physical prevention and control measures include setting up insect-proof nets or sticky boards around the airport; the biological prevention and control measures include introducing natural enemies of insects to control the number of insects through predation and parasitism relationships between organisms; the environmental management measures include regularly cleaning weeds and garbage around the airport and selecting green plants with strong insect resistance.

[0098] Optionally, the analysis module analyzes the pest situation change trend in the following manner:

[0099] Use statistical methods to organize and analyze the pest data of the first airport and the pest data of the second airport to obtain multiple statistical indicators; the statistical indicators include the average value, standard deviation and coefficient of variation of the number of insects;

[0100] Analyze the pest situation change trend based on multiple statistical indicators, including the time distribution and spatial distribution laws of insects.

[0101] Optionally, the analysis module analyzes the pest situation change trend in the following manner:

[0102] Collect sample data; the sample data is pest data from different airports;

[0103] Based on the sample data, establish and train a pest prediction model;

[0104] Use the pest data of the first airport and the pest data of the second airport as inputs, input them into the pest prediction model, and output the pest situation change trend.

[0105] It should be noted that for the specific working process of this embodiment, please refer to the method embodiment part described above, and details will not be elaborated here.

[0106] Those of ordinary skill in the art will appreciate that the units and algorithm steps of the examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. To clearly illustrate the interchangeability of hardware and software, the components and steps of the examples have been generally described according to their functions in the above description. Whether these functions are executed in hardware or software depends on the specific application and design constraints of the technical solution. A person skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the present invention.

[0107] In several embodiments provided by the present application, it should be understood that the disclosed apparatus and method can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative. For example, the division of the units is only a logical function division, and there may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the displayed or discussed couplings or direct couplings or communication connections to each other can be indirect couplings or communication connections through some interfaces, devices or units, and can also be electrical, mechanical or other forms of connection.

[0108] The units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they can be located in one place, or can be distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiments of the present invention.

[0109] In addition, the functional units in various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically alone, or two or more units can be integrated into one unit. The above-mentioned integrated units can be implemented in the form of hardware or in the form of software functional units.

[0110] When the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as USB flash drives, mobile hard disks, read-only memories (ROMs), random access memories (RAMs), magnetic disks, or optical discs.

[0111] As described above, the above is only the specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present invention can easily think of various equivalent modifications or substitutions, and these modifications or substitutions should be covered within the protection scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims

1. An airport pest situation analysis method, characterized in that, It includes: Collect the pest situation data of the first airport; The pest situation data of the first airport includes insect species information, the number of insects, the distribution information of insects at the airport, and insect activity information; Based on the pest situation data of the first airport, spray pesticides on different areas of the airport as needed, and obtain pesticide data; Collect the pest situation data of the second airport after pesticide spraying, and analyze the pest control effect of the pesticide based on the pest situation data of the second airport; Analyze the pest situation data of the first airport, pesticide data, pest situation data of the second airport, and pest control effect to monitor the changes in the pest situation at the airport during the pesticide spraying control process and provide data for the research on the efficacy of pesticides.

2. The airport pest situation analysis method according to claim 1, characterized in that After obtaining the pest control effect of the pesticide, the method further includes: Control multiple pest control devices distributed in different areas of the airport according to the pest control effect.

3. The airport pest situation analysis method according to claim 1, characterized in that, The method further includes: Conduct statistical analysis on the pest situation data of the first airport and the pest situation data of the second airport to obtain the trend of pest situation changes; Obtain historical pest control data and meteorological data for a future time period; Combine the trend of pest situation changes, historical pest control data, and meteorological data to predict the pest situation for a future time period; Provide pest control directions, pest control device usage strategies, and pesticide spraying strategies based on the predicted pest situation.

4. The airport pest situation analysis method according to claim 3, characterized in that, The pest control directions include physical prevention and control measures, biological prevention and control measures, and environmental management measures; the physical prevention and control measures include setting up insect-proof nets or sticky boards around the airport; the biological prevention and control measures include introducing natural enemies of insects to control the number of insects through predation and parasitism relationships between organisms; the environmental management measures include regularly cleaning weeds and garbage around the airport and selecting green plants with strong insect resistance.

5. The airport pest situation analysis method according to claim 3, characterized in that, The specific way to obtain the trend of pest situation changes is: Use statistical methods to sort out and analyze the pest situation data of the first airport and the pest situation data of the second airport to obtain multiple statistical indicators; the statistical indicators include the average value, standard deviation, and coefficient of variation of the number of insects; Analyze the trend of pest situation changes based on multiple statistical indicators, including the time distribution and spatial distribution rules of insects.

6. The airport pest situation analysis method according to claim 3, characterized in that, The specific way to obtain the trend of pest situation changes is: Collect sample data; the sample data is pest situation data from different airports; Establish and train a pest situation prediction model based on the sample data; Use the pest situation data of the first airport and the pest situation data of the second airport as inputs, input them into the pest situation prediction model, and output the trend of pest situation changes.

7. The airport pest situation analysis method according to any one of claims 3-6, characterized in that, After obtaining the trend of pest situation changes, the method further includes: Based on GIS technology, combine the pest situation data of the first airport, the pest situation data of the second airport with geographical spatial information and conduct visual display.

8. An airport pest monitoring system, characterized in that, It includes a collection module, a monitoring module, a pesticide spraying module, a pest control device, and an analysis module; The collection module is used to collect the pest situation data of the first airport; the pest situation data of the first airport includes insect species information, the number of insects, the distribution information of insects at the airport, and insect activity information; The monitoring module is used to control the pesticide spraying module to spray pesticides on different areas of the airport as needed based on the pest situation data of the first airport, and obtain pesticide data; The collection module is also used to collect the pest situation data of the second airport after pesticide spraying; The analysis module is used for: Obtain the insecticidal effect of pesticides based on the analysis of the insect pest data of the second airport; Analyze the insect pest data of the first airport, pesticide data, insect pest data of the second airport and the insecticidal effect to monitor the changes in insect pests at the airport during the pesticide spraying control process and provide data for the research on the efficacy of pesticides; The monitoring module is further configured to control a plurality of insecticidal devices distributed in different regions of the airport according to the insecticidal effect.

9. The airport pest monitoring system according to claim 8, wherein, Specifically, the analysis module is configured to: Conduct statistical analysis on the insect pest data of the first airport and the insect pest data of the second airport to obtain the trend of insect pest changes; Obtain historical insect pest control data and meteorological data for a future time period; Combine the trend of insect pest changes, historical insect pest control data and meteorological data to predict the insect pest situation in a future time period; Provide an insect pest control direction, an insecticidal device usage strategy and a pesticide spraying strategy based on the predicted insect pest situation.

10. The airport pest situation monitoring and analysis system according to claim 9, characterized in that, The analysis module uses statistical methods or an insect pest prediction module to conduct statistical analysis on the insect pest data of the first airport and the insect pest data of the second airport to obtain the trend of insect pest changes.

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