Method and system for identifying target insects based on insect radar

Abstract

The invention provides a method and system for identifying a target insect based on an insect radar, and the method comprises the following steps: obtaining a radar echo signal of an insect based on an insect radar monitoring technology; trapping insects based on an insect trapping technology, comparing the number of radar echo signals of the insects with the number of trapped insects, and obtaining target insects at radar echo points and the number of types of the target insects; measuring the flight capability and the measurement quality of the target insect; the existing meteorological data and the radar echo signals of the target insects are analyzed, and the flight speed and the calculation mass of the target insects are obtained; and carrying out clustering analysis on the flight capability and the measurement mass of the target insect and the flight speed and the calculation mass of the target insect, and identifying and obtaining the type of the target insect based on the type number of the target insect. The method integrates an insect radar monitoring technology, an insect trapping technology and the like to identify the target insects, and solves the problem that the target insects are difficult to identify by purely depending on a radar echo point analysis technology.

Description

Technical Field

[0001] The present invention belongs to the technical field of monitoring and identifying target insects, and in particular relates to a method and system for identifying target insects based on insect radar. Background Art

[0002] With climate change and ecological changes, migratory insects such as locusts, grass moths, and fall armyworms have an increasingly significant impact on agricultural production. Before the application of radar to monitor insects, the insect migration process has always been a "black box" for research. Compared with traditional monitoring tools such as lights to trap and monitor insects, insect radar can further obtain parameters such as the flight direction, flight altitude, mass, and wingbeat frequency of aerial insects without interfering with the behavior of organisms.

[0003] Traditional monitoring methods, including manual observation and simple optical equipment, cannot provide timely and accurate monitoring results, and have significant limitations in large-scale monitoring. Insect radar can monitor insect migration for a long time, but the identification of the species of radar echo points has always been a difficult problem. Therefore, it is extremely urgent to develop a method that integrates insect radar monitoring technology and insect trapping technology to identify target insects. Summary of the invention

[0004] In view of the shortcomings of the prior art, the present invention provides a method and system for identifying target insects based on insect radar, so as to solve the problem that it is difficult to identify target insects by relying solely on radar echo point analysis technology.

[0005] To achieve the above object, the present invention provides the following solutions:

[0006] A method for identifying target insects based on insect radar comprises the following steps:

[0007] Based on insect radar monitoring technology, the radar echo signal of insects is obtained;

[0008] Trapping insects based on insect trapping technology, comparing the number of radar echo signals of insects and the number of trapped insects, obtaining the number of target insects and target insect species at the radar echo points;

[0009] measuring the flight ability and measurement quality of the target insect;

[0010] Analyze the existing meteorological data and the radar echo signals of the target insects to obtain the target insects’ own flight speed and calculation quality;

[0011] A cluster analysis is performed on the flight ability and measurement quality of the target insects and the self-flight speed and calculation quality, and based on the number of target insect species, the species of the target insects are identified.

[0012] Preferably, the method for obtaining the target insect of the radar echo point is:

[0013] Analyze the number and number changes of the radar echo signals of insects on a daily basis, and obtain the date and time period when the number of the radar echo signals exceeds a preset threshold;

[0014] Based on the date and time period when the number of radar echo signals exceeds a preset threshold, a peak period of the number of radar echo signals is obtained;

[0015] Use high-altitude lights and ground lights to trap insects daily during their migration period;

[0016] Analyze the types and numbers of insects when the number of insects captured by high-altitude lights exceeds the preset trapping threshold. When the number of corresponding types of insects captured by high-altitude lights is much larger than the number of corresponding types of insects captured by ground lights on the same day, and the peak period of the number of corresponding types of insects captured by high-altitude lights coincides with the peak period of the number of radar echo signals of insects on the same day, the corresponding types of insects will be used as target insects of radar echo points.

[0017] Preferably, the method for analyzing existing meteorological data is:

[0018] The mesoscale WRF model is used to analyze the existing meteorological data and combine the longitude and latitude position information of the insect radar to obtain high-altitude meteorological simulation data;

[0019] The high-altitude meteorological simulation data are interpolated to obtain the meridional and zonal winds at the flight altitude of the target insects.

[0020] Preferably, the method for obtaining the target insect's own flight speed and calculating the mass is:

[0021] Analyzing the radar echo signal of the target insect to obtain the target insect's flying speed over the ground, the flying direction and the calculated quality;

[0022] Based on the meridional wind and zonal wind at the flight altitude of the target insect, the wind speed and wind direction at the flight altitude are obtained;

[0023] Comparing the wind direction with the flight direction based on a vector to obtain a direction angle;

[0024] The target insect's own flight speed is obtained based on the ground flight speed, the wind speed and the direction angle.

[0025] Preferably, the formula for obtaining the wind speed Sw at the flight altitude is:

[0026] The formula for obtaining the wind speed Dw at the flight altitude is:

[0027] Dw=180+mod(270-arctan2(v,u)×180 / π,360);

[0028] The formula for obtaining the direction angle θ is: θ = |Dw-Di|;

[0029] The formula for obtaining the target insect's own flight speed S is:

[0030]

[0031] Among them, u is the longitudinal wind, v is the latitudinal wind, Si is the ground flight speed of the target insect, and Di is the flight direction of the target insect.

[0032] Preferably, the method for identifying the species of the target insect is:

[0033] Establishing a sample set based on the flight capabilities and measured qualities of all target insects and the self-flight speed and calculated qualities;

[0034] Based on the number of target insect species, set the clustering K value and randomly select K center points;

[0035] Calculate the distance between each data in the sample set and the center point, perform a first clustering on the center point closest to each data itself, and obtain a cluster;

[0036] Based on the clustering clusters, a new center point is obtained, and it is iterated repeatedly until the change of the new center point meets the preset convergence condition to obtain a clustering result;

[0037] Based on the clustering results, the types of target insects are obtained.

[0038] The present invention also provides a system for identifying target insects based on insect radar, which implements the method described, including:

[0039] A radar monitoring module is used to obtain radar echo signals of insects based on insect radar monitoring technology;

[0040] A target insect acquisition module is used to trap insects based on insect trapping technology, compare the number of radar echo signals of insects and the number of trapped insects, and obtain the target insects at the radar echo points and the number of target insect species;

[0041] A measurement module, used to measure the flight ability and measurement quality of the target insect;

[0042] A calculation module is used to analyze the existing meteorological data and the radar echo signal of the target insect to obtain the target insect's own flight speed and calculation quality;

[0043] The identification module is used to perform cluster analysis on the flight ability and measurement quality of the target insects and the flight speed and calculation quality of the target insects themselves, and to identify the species of the target insects based on the number of target insect species.

[0044] Preferably, the target insect acquisition module comprises:

[0045] A signal analysis unit, used to analyze the number and number changes of radar echo signals of insects on a daily basis, and obtain the date and time period when the number of radar echo signals exceeds a preset threshold; based on the date and time period when the number of radar echo signals exceeds the preset threshold, obtain the peak period of the number of radar echo signals;

[0046] Insect trapping unit, used to trap insects daily using high-altitude lights and ground lights during insect migration time;

[0047] The target insect acquisition unit is used to analyze the types and numbers of insects when the number of insects captured by the high-altitude lights exceeds the preset trapping threshold. When the number of insects of the corresponding type captured by the high-altitude lights is much larger than the number of insects of the corresponding type captured by the ground lights on the same day, and the peak period of the number of insects of the corresponding type captured by the high-altitude lights coincides with the peak period of the number of radar echo signals of insects on the same day, the corresponding type of insects will be used as the target insect of the radar echo point.

[0048] Compared with the prior art, the beneficial effects of the present invention are as follows: the present invention uses insect trapping technology to determine the target insect species monitored by the insect radar. The target insects are identified by clustering analysis using the flight ability and mass of the target insects actually measured and the flight speed and mass of the insects themselves extracted and calculated by the insect radar. The present invention combines technologies such as insect radar and insect trapping to achieve target insect monitoring and identification, achieving the technical effect of accurately identifying target insects, and effectively monitoring their behavioral parameters such as flight speed, direction and ability, solving the technical problem that it is difficult to accurately identify target insects by relying solely on other single technologies such as radar technology, providing a decision-making basis for agricultural producers and managers, reducing economic, social and ecological losses, and providing methodological support for avoiding major losses. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] In order to more clearly illustrate the technical solution of the present invention, the following briefly introduces the drawings required for use in the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0050] Figure 1 This is a flow chart of a method for identifying target insects based on insect radar according to an embodiment of the present invention;

[0051] Figure 2 The figure is a schematic diagram of the structure of a system for identifying target insects based on an insect radar according to an embodiment of the present invention. DETAILED DESCRIPTION

[0052] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0053] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the present invention is further described in detail below with reference to the accompanying drawings and specific embodiments.

[0054] Embodiment 1

[0055] like Figure 1 As shown, a method for identifying target insects based on insect radar includes the following steps:

[0056] S1: Based on the insect radar monitoring technology, the radar echo signal of the insect is obtained; in this embodiment, the X-frequency radar wave of the dual-mode insect radar is used. Except for rainfall and mechanical failure, the radar monitoring period is from sunset to sunrise every day, monitoring the long-distance target insect A (hereinafter referred to as insect A), and obtaining the flight direction, flight altitude, mass, wing beat frequency and other parameters of insect A in the air. In this embodiment, the method for analyzing the radar echo signal of the insect is: after Fourier transforming the received radar signal, the reflection parameters α0, α2 and α4 are selected, and the backscattering parameter σ of the insect is calculated. xx and σ yy , σ xx =α0+α2+α4,σ yy =α0-α2+α4

[0057] When σ xx <10 -1 cm 2 When the insect weight m is calculated by the following formula:

[0058] m=(σ XX ×10 5 / 6.5) 1 / 2 , m represents the insect weight, unit is mg.

[0059] When σ xx >10 -1 cm 2 When , the insect weight m is calculated as follows:

[0060] log 10 m=2.54+0.766×log 10 (σyy)+0.179×{log 10 (σyy)} 2

[0061] S2: Trapping insects based on insect trapping technology, comparing the number of radar echo signals of insects and the number of trapped insects, and obtaining the number of target insects and target insect species at the radar echo points;

[0062] A further embodiment is that the method for obtaining the target insect of the radar echo point is:

[0063] Analyze the number and number changes of insect radar echo signals on a daily basis to obtain the date and time period when the number of radar echo signals exceeds a preset threshold (sudden increase or decrease);

[0064] Based on the date and time period when the number of radar echo signals exceeds a preset threshold, a peak period of the number of radar echo signals is obtained;

[0065] During the insect migration period, high-altitude lights and ground lights are used to trap insects daily; during the insect migration period (usually from May to September), high-altitude lights and ground lights are used to trap insects daily (except for rainy days and mechanical failures), and the daily trapping time is set from dusk to dawn. Insect trap bags are replaced in the early morning, brought back to the laboratory for freezing, and the number is counted and classified and identified on the same day.

[0066] In this embodiment, a high-altitude lamp and a ground lamp insect trapping device are used, and the light source is a metal halide bulb of not less than 1000W. First, analyze whether the number of insects A trapped by the high-altitude lamp has a sudden increase or decrease for 2 consecutive days or more, that is, analyze the insect species and number when the number of insects trapped by the high-altitude lamp exceeds the preset threshold of 100 trapped (observed by the change of the quantity curve). If so, continue to analyze the number and species of insects trapped by the high-altitude lamp and the ground lamp. When the number of insects (A) of the corresponding species trapped by the high-altitude lamp is much larger than the number of insects (A) of the corresponding species trapped by the ground lamp on the same day, and the peak period of the number of insects (A) of the corresponding species trapped by the high-altitude lamp coincides with the peak period of the number of radar echo signals of insects (A) on the same day, the corresponding species of insects (A) are used as target insects of the radar echo point. When the number of insects does not meet the sudden increase or decrease and the peak period is consistent or the number of the high-altitude lamp population is much larger than the number trapped by the ground lamp on the same day, exclude the corresponding insect species.

[0067] In this embodiment, the insect migration period lasts for about a week, and the peak period of insect attraction of the high-altitude lamp is 1-2 days earlier than that of the ground lamp. The ratio of the same insects attracted by the two lamps within 1-2 days after the peak period begins is judged, and the amount of insects trapped by the high-altitude lamp on that day / the amount of insects trapped by the ground lamp on that day>1. At the same time, during the entire monitoring period, the total amount of a certain insect trapped by the high-altitude lamp / the total amount of the same insect trapped by the ground lamp>1. The number of radar echo signals is manually counted every day. If the insect signal of the radar and the population of a certain insect trapped by the high-altitude lamp on that day are both greater than 100, then it is judged whether there is a sudden increase or decrease in the population.

[0068] S3: Measure the flight ability and mass of the target insect; Use the insect flight mill system to simulate the flight ability of the target insect A to further verify the flight ability of insect A. Use an electronic balance (accurate to 0.001g) to further measure the mass of the insect.

[0069] S4: Analyze the existing meteorological data and the radar echo signal of the target insect to obtain the target insect's own flight speed and calculation quality;

[0070] A further embodiment is that the method for analyzing existing meteorological data is:

[0071] The mesoscale WRF model is used to analyze the existing meteorological data, and combined with the longitude and latitude position information of the insect radar, the high-altitude meteorological simulation data is obtained; in this embodiment, the meteorological data driving the WRF model comes from the FNL global reanalysis data provided by the National Center for Atmospheric Research (NCAR), and the data time and spatial resolutions are 6h and 1.0°×1.0° respectively. The mesoscale WRF model (version 4.4) is used to analyze the FNL grid data (meteorological data), and the calculation results are output once every 1h. The parameters are set in combination with the longitude and latitude position information of the insect radar. The scheme is shown in Table 1 (WRF mode configuration and scheme selection).

[0072] Table 1

[0073] project Region 1 Area 2 Central Location 46.38°N, 82.52°E 46.38°N, 82.52°E Horizontal Grid 179×155 169×199 Grid spacing (km) 15 5 Starting position 1，1 57，55 Terrain data resolution 5′ 5′ Vertical Layer 39 39 Map projections Lambert Lambert Microphysical Processes Scheme WSM6 WSM6 Long wave radiation scheme RRTM RRTM Shortwave radiation solution Dudhia Dudhia Ground level solution Monin-Obukhov Monin-Obukhov Land surface process scheme Noah Noah Boundary Scheme YSU YSU Cumulus parameterization Kain-Fritsch Kain-Fritsch Simulation duration Every24h Every24h

[0074] The meteorological analysis software NCL (NCAR command language) was used to interpolate the high-altitude meteorological data simulated by WRF, and the meridional wind (u) and zonal wind (v) at the flight altitude of the target insects were extracted.

[0075] S5: Perform cluster analysis on the flight ability and measurement quality of target insects, their own flight speed and calculation quality, and identify the species of target insects based on the number of target insect species.

[0076] A further embodiment is that the method for obtaining the target insect's own flight speed and calculating the mass is:

[0077] Analyze the radar echo signal of the target insect to obtain the target insect's flying speed over the ground, flight direction and calculation quality;

[0078] Based on the meridional wind and latitudinal wind at the flight altitude of the target insect, the wind speed and wind direction at the flight altitude are obtained; in this embodiment, the formula for obtaining the wind speed Sw at the flight altitude is:

[0079] The formula for obtaining the wind speed Dw at the flight altitude is:

[0080] Dw=180+mod(270-arctan2(v,u)×180 / π,360);

[0081] Based on the vector comparison between the wind direction and the flight direction, the direction angle is obtained; the formula for obtaining the direction angle θ is: θ=|Dw-Di|;

[0082] The target insect's own flight speed is obtained based on the ground flight speed, wind speed and direction angle.

[0083] The formula for obtaining the target insect's own flight speed S is:

[0084]

[0085] Among them, u is the longitudinal wind, v is the latitudinal wind, Si is the ground flight speed of the target insect, and Di is the flight direction of the target insect.

[0086] A further embodiment is that the method for identifying the species of target insects is:

[0087] Based on the flight ability and measurement quality of all target insects and their own flight speed and calculation quality, a sample set C is established; x represents the measurement quality and calculation quality of individual insects; y represents the flight ability of individual insects and their own flight speed.

[0088] Based on the number of target insect species, set the clustering K value and randomly select K center points;

[0089] In this embodiment, the distance from each data in the sample set to the center point is calculated using Formula 1, and the center point closest to each data itself is clustered for the first time to obtain a cluster;

[0090] Formula 1: i represents the sequence number, the i-th data point, and n represents the dimension of the data point, that is, how many eigenvalues ​​a data point has. Currently, the data point has only two eigenvalues, namely speed and quality.

[0091] Based on the clustering cluster, a new center point is obtained, and it is iterated repeatedly until the change of the new center point meets the preset convergence condition to obtain the clustering result; in this embodiment, according to the last clustering result. Use Formula 2 to sum and average the x and y in the cluster respectively, and find the new center point Z, and iterate the center point repeatedly. Use Formula 3 to iterate and run until the change of the center point meets the convergence condition (the minimum mean square error SE before and after the iterative data set <0.0001), and finally get the clustering result.

[0092] Formula 2:

[0093] Formula 3:

[0094] Based on the clustering results, the species of target insects are obtained.

[0095] Embodiment 2

[0096] like Figure 2 As shown, the present invention also provides a system for identifying target insects based on insect radar, which implements the method of embodiment 1, including:

[0097] A radar monitoring module is used to obtain radar echo signals of insects based on insect radar monitoring technology;

[0098] A target insect acquisition module is used to trap insects based on insect trapping technology, compare the number of radar echo signals of insects and the number of trapped insects, and obtain the target insects at the radar echo points and the number of target insect species;

[0099] A measurement module for measuring the flight ability and measurement quality of target insects;

[0100] A calculation module is used to analyze the existing meteorological data and the radar echo signal of the target insect to obtain the target insect's own flight speed and calculation quality;

[0101] The identification module is used to perform cluster analysis on the flight ability and measurement quality of the target insects and their own flight speed and calculation quality, and to identify the species of the target insects based on the number of target insect species.

[0102] A further embodiment is that the target insect acquisition module comprises:

[0103] A signal analysis unit is used to analyze the number and number changes of radar echo signals of insects on a daily basis, and obtain the date and time period when the number of radar echo signals exceeds a preset threshold; based on the date and time period when the number of radar echo signals exceeds the preset threshold, obtain the peak period of the number of radar echo signals;

[0104] Insect trapping unit, used to trap insects daily using high-altitude lights and ground lights during insect migration time;

[0105] The target insect acquisition unit is used to analyze the types and numbers of insects when the number of insects captured by the high-altitude lights exceeds the preset trapping threshold. When the number of insects of the corresponding type captured by the high-altitude lights is much larger than the number of insects of the corresponding type captured by the ground lights on the same day, and the peak period of the number of insects of the corresponding type captured by the high-altitude lights coincides with the peak period of the number of radar echo signals of insects on the same day, the corresponding type of insects will be used as the target insect of the radar echo point.

[0106] The embodiments described above are only descriptions of the preferred embodiments of the present invention and are not intended to limit the scope of the present invention. Without departing from the design spirit of the present invention, various modifications and improvements made to the technical solutions of the present invention by ordinary technicians in this field should all fall within the protection scope determined by the claims of the present invention.

Claims

1. A method for identifying target insects based on insect radar, It is characterized in that The following steps are involved: Based on insect radar monitoring technology, the radar echo signal of insects is obtained; Trapping insects based on insect trapping technology, comparing the number of radar echo signals of insects and the number of trapped insects, obtaining the number of target insects and target insect species at the radar echo points; measuring the flight ability and measurement quality of the target insect; Analyze the existing meteorological data and the radar echo signals of the target insects to obtain the target insects’ own flight speed and calculation quality; A cluster analysis is performed on the flight ability and measurement quality of the target insects and the self-flight speed and calculation quality, and based on the number of target insect species, the species of the target insects are identified.

2. The method for identifying target insects based on insect radar according to claim 1, It is characterized in that The method of obtaining the target insect of the radar echo point is: Analyze the number and number changes of the radar echo signals of insects on a daily basis, and obtain the date and time period when the number of the radar echo signals exceeds a preset threshold; Based on the date and time period when the number of radar echo signals exceeds a preset threshold, a peak period of the number of radar echo signals is obtained; Use high-altitude lights and ground lights to trap insects daily during their migration period; Analyze the types and numbers of insects when the number of insects captured by high-altitude lights exceeds the preset trapping threshold. When the number of corresponding types of insects captured by high-altitude lights is much larger than the number of corresponding types of insects captured by ground lights on the same day, and the peak period of the number of corresponding types of insects captured by high-altitude lights coincides with the peak period of the number of radar echo signals of insects on the same day, the corresponding types of insects will be used as target insects of radar echo points.

3. The method for identifying target insects based on insect radar according to claim 1, It is characterized in that The method for analyzing existing meteorological data is: The mesoscale WRF model is used to analyze the existing meteorological data and combine the longitude and latitude position information of the insect radar to obtain high-altitude meteorological simulation data; The high-altitude meteorological simulation data are interpolated to obtain the meridional and zonal winds at the flight altitude of the target insects.

4. The method for identifying target insects based on insect radar according to claim 1, It is characterized in that The method for obtaining the target insect's own flight speed and calculating its mass is: Analyzing the radar echo signal of the target insect to obtain the target insect's flying speed over the ground, the flying direction and the calculated quality; Based on the meridional wind and zonal wind at the flight altitude of the target insect, the wind speed and wind direction at the flight altitude are obtained; Comparing the wind direction with the flight direction based on a vector to obtain a direction angle; The target insect's own flight speed is obtained based on the ground flight speed, the wind speed and the direction angle.

5. The method for identifying target insects based on insect radar according to claim 4, It is characterized in that The formula for obtaining the wind speed Sw at the flight altitude is: The formula for obtaining the wind speed Dw at the flight altitude is: Dw=180+mod(270-arctan2(v,u)×180 / π,360); The formula for obtaining the direction angle θ is: θ = |Dw-Di|; The formula for obtaining the target insect's own flight speed S is: Among them, u is the longitudinal wind, v is the latitudinal wind, Si is the ground flight speed of the target insect, and Di is the flight direction of the target insect.

6. The method for identifying target insects based on insect radar according to claim 4, It is characterized in that The method for identifying the species of the target insect is: Establishing a sample set based on the flight capabilities and measured qualities of all target insects and the self-flight speed and calculated qualities; Based on the number of target insect species, set the clustering K value and randomly select K center points; Calculate the distance between each data in the sample set and the center point, perform a first clustering on the center point closest to each data itself, and obtain a cluster; Based on the clustering clusters, a new center point is obtained, and it is iterated repeatedly until the change of the new center point meets the preset convergence condition to obtain a clustering result; Based on the clustering results, the types of target insects are obtained.

7. A system for identifying target insects based on insect radar, implementing the method described in any one of claims 1 to 6, It is characterized in that include: A radar monitoring module is used to obtain radar echo signals of insects based on insect radar monitoring technology; A target insect acquisition module is used to trap insects based on insect trapping technology, compare the number of radar echo signals of insects and the number of trapped insects, and obtain the target insects at the radar echo points and the number of target insect species; A measurement module, used to measure the flight ability and measurement quality of the target insect; A calculation module is used to analyze the existing meteorological data and the radar echo signal of the target insect to obtain the target insect's own flight speed and calculation quality; The identification module is used to perform cluster analysis on the flight ability and measurement quality of the target insects and the flight speed and calculation quality of the target insects themselves, and to identify the species of the target insects based on the number of target insect species.

8. The system for identifying target insects based on insect radar according to claim 7, It is characterized in that The target insect acquisition module comprises: A signal analysis unit, used to analyze the number and number changes of radar echo signals of insects on a daily basis, and obtain the date and time period when the number of radar echo signals exceeds a preset threshold; based on the date and time period when the number of radar echo signals exceeds the preset threshold, obtain the peak period of the number of radar echo signals; Insect trapping unit, used to trap insects daily using high-altitude lights and ground lights during insect migration time; The target insect acquisition unit is used to analyze the types and numbers of insects when the number of insects captured by the high-altitude lights exceeds the preset trapping threshold. When the number of insects of the corresponding type captured by the high-altitude lights is much larger than the number of insects of the corresponding type captured by the ground lights on the same day, and the peak period of the number of insects of the corresponding type captured by the high-altitude lights coincides with the peak period of the number of radar echo signals of insects on the same day, the corresponding type of insects will be used as the target insect of the radar echo point.

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