Method and apparatus for detecting position of wasp

Abstract

To provide a method and an apparatus for detecting the position of a wasp with high accuracy.SOLUTION: A method for detecting a wasp includes collecting an environmental sound in front of a directional microphone by using the directional microphone, performing a frequency analysis on the environmental sound to identify, from the environmental sound, a magnitude of a sound of a fundamental frequency derived from a movement of a wing of a wasp, magnitudes of harmonics of the fundamental frequency, and a high-frequency noise, and determining whether each of the sound of the fundamental frequency, the sounds of the harmonics, and the high-frequency noise is greater than a predetermined threshold. The hornet detection device includes a sound collection means, a determination means, and an output means.SELECTED DRAWING: Figure 11

Description

[Technical Field]

[0001] The present invention relates to a method and device for detecting the location of a hornet. [Background technology]

[0002] Hornets are a type of bee that mainly live in mountainous areas and forests, and in Japan, the giant hornet, yellow hornet, and small hornet are well known. When a human is stung by a hornet, they experience intense pain and can sometimes cause a serious allergic reaction. For this reason, when working in mountainous areas or forests, it is necessary to be careful not to encounter a hornet.

[0003] There are two methods that have been tried to avoid encountering hornets: visually checking their appearance and detecting the sounds they make. In particular, attempts have been made to detect the unique wing sounds that hornets make in order to confirm their presence.

[0004] Patent Document 1 discloses an insect alarm device that stores first sound information, which is the sound of the wing of a specific insect, compares the first sound information with second sound information, which indicates the surrounding environmental sounds, and differential information between third sound information, which indicates the surrounding observation sounds, and if the first sound information and differential information approximately match, issues an alarm indicating the presence of a specific insect in the vicinity.

[0005] Patent Document 2 describes a hornet detection device that compares the vibration frequency extracted by a phase frequency detection method, the coherency (phase continuity) of the vibration information, and the characteristics extracted from the flapping vibration of a hornet based on the vibration frequency fluctuation information, and notifies the user whether or not a hornet is nearby. Patent Document 2 discloses that the frequency of the wing sounds of a hornet is about 100 Hz. [Prior art documents] [Patent documents]

[0006] [Patent Document 1] Japanese Patent Application Laid-Open No. 2007-289039 [Patent Document 2] Japanese Patent Publication No. 2021-193334 Summary of the Invention [Problem to be solved by the invention]

[0007] The technologies of Patent Documents 1 and 2 both detect targets by comparing the wing sounds of a target organism with pre-stored wing sounds based on the wing sounds of a specific frequency. However, sounds of specific frequencies are generated by various causes other than insect wing sounds. If the detected sounds include sounds of the same frequency originating from other sources, the possibility of false detection cannot be ruled out.

[0008] The present invention has been made in consideration of the current situation, and has been made with the problem to be solved of providing a hornet location detection method and a hornet location detection device that can detect the location of hornets with greater accuracy than conventional methods. [Means for solving the problem]

[0009] The present invention relates to a hornet location detection method, which includes a sound collection step of using a directional microphone to collect environmental sounds in front of the directional microphone, a frequency analysis step of frequency-analyzing the environmental sounds and identifying from the environmental sounds the magnitude of a fundamental frequency sound resulting from the movement of hornet wings, the magnitude of harmonics relative to the fundamental frequency, and high-frequency noise, and a determination step of determining whether the fundamental frequency sound, the harmonic sound, and the high-frequency noise are each larger than a predetermined threshold.

[0010] In the judgment process of the hornet location detection method of the present invention, it is preferable to determine that a hornet is present in front of the directional microphone when multiple harmonics are observed and the harmonic that is twice the fundamental frequency is equal to or louder than the sound of the fundamental frequency.

[0011] Preferably, the determining step of the hornet location detection method of the present invention further determines that the hornet is located lower than the directional microphone when high-frequency noise is detected.

[0012] In the method for detecting a hornet's position of the present invention, it is preferable to perform position detection with a fundamental frequency of 90 Hz to 130 Hz.

[0013] The present invention also provides a hornet location detection device, which is equipped with a directional microphone and includes sound collection means for collecting sounds including environmental sounds and hornet wing sounds, analysis means for performing frequency analysis of the sounds collected by the sound collection means, determination means for extracting fundamental frequency sounds, sounds of harmonics of the fundamental frequency, and high-frequency noise from the results of the frequency analysis performed by the analysis means, and determining that a hornet is present in front of and at a low position above the directional microphone when each of the extracted sounds is louder than a predetermined threshold, and output means for outputting the determination result. [Effects of the Invention]

[0014] The hornet location detection method and hornet location detection device of the present invention detect not only the fundamental frequency sound but also the harmonic sound of the fundamental frequency, and determine whether both the fundamental frequency sound and the harmonic sound are louder than a threshold value, thereby reducing the possibility of erroneous detection and enabling the hornet's location to be detected with higher accuracy than conventional methods.

[0015] The hornet location detection method of the present invention can determine whether a hornet is located lower than the microphone by detecting high-frequency noise in addition to fundamental frequency sounds and harmonic sounds.

[0016] The hornet location detection method of the present invention uses both fundamental frequency sounds and harmonic sounds for judgment, thereby making it possible to expand the range of fundamental frequencies used for detection more than conventional methods, and to prevent hornets from being missed when detected. [Brief explanation of the drawings]

[0017] [Figure 1] This is a photograph used as a drawing to show the measurement of hornet wing flapping. [Figure 2] FIG. 1 is a diagram showing the fundamental frequencies of wing sounds for each type of bee. [Figure 3] FIG. 10 is a diagram showing the measurement results and frequency analysis results of the wing movement of a giant hornet. [Figure 4] FIG. 10 is a diagram showing the measurement results and frequency analysis results of the wing sounds of a giant hornet. [Figure 5] FIG. 1 shows the measurement results and frequency analysis results of the wing movement of a small hornet. [Figure 6] FIG. 10 is a diagram showing the measurement results and frequency analysis results of the wing sounds of a small hornet. [Figure 7] 10A and 10B are diagrams showing the measurement results and frequency analysis results of the wing sounds of a fern wasp. [Figure 8] FIG. 10 is a diagram showing the measurement results and frequency analysis results of the wing sounds of the Asian hornet. [Figure 9] 10A and 10B are diagrams showing the measurement results and frequency analysis results of the wing sounds of a Japanese yellow hornet. [Figure 10] FIG. 10 is a diagram showing differences in frequency distribution of wing sounds due to differences in sound collection direction. [Figure 11] FIG. 1 is a diagram showing a schematic configuration of a hornet location detection device. [Figure 12] 1 is a flowchart of a method for detecting the location of a hornet. DETAILED DESCRIPTION OF THE INVENTION

[0018] Hereinafter, with reference to the drawings, an embodiment of the hornet location detection method and hornet location detection device of the present invention will be described.

[0019] [Principle of hornet location detection] The inventors captured various types of bees and recorded their wing-flapping behavior using a high-speed camera. At the same time as taking the images, they also collected and recorded the wing sounds using a microphone. They then performed frequency analysis on the obtained data and identified the fundamental frequencies of the wing-flapping and wing sounds for each bee. Figure 1 shows a photograph (substitute for a drawing) of the measurement of the wing-flapping behavior of a giant hornet.

[0020] By measuring the flapping movements of a flying hornet and analyzing the images, it was confirmed that the tips of the hornet's wings move in a nearly sinusoidal waveform, and that the flapping generates a fundamental frequency sound and its harmonics.

[0021] Figure 3(a) shows the measurement results of the wing movement of a giant hornet, and Figure 3(b) shows the results of frequency analysis of the wing movement of a giant hornet. Figure 4(a) shows the measurement results of the wing sound of a giant hornet, and Figure 4(b) shows the results of frequency analysis of the wing sound of a giant hornet. The wing sound measurement results in Figure 4 were obtained by placing a giant hornet in front of the sound collection means and measuring the sound.

[0022] Figure 5(a) shows the measurement results of the wing movement of the small hornet, and Figure 5(b) shows the results of frequency analysis of the wing movement of the small hornet. Figure 6(a) shows the measurement results of the wing sound of the small hornet, and Figure 6(b) shows the results of frequency analysis of the wing sound of the small hornet. Figure 7(a) shows the measurement results of the wing sound of the black fern hornet, and Figure 7(b) shows the results of frequency analysis of the wing sound of the black fern hornet, plotting the fundamental frequency and harmonics. Figure 8(a) shows the measurement results of the wing sound of the Asian hornet, and Figure 8(b) shows the results of frequency analysis of the wing sound of the Asian hornet, plotting the fundamental frequency and harmonics. Figure 9(a) shows the measurement results of the wing sounds of the Japanese yellow hornet, and Figure 9(b) shows the results of frequency analysis of the wing sounds of the Japanese yellow hornet, plotting the fundamental frequency and harmonics.

[0023] The analysis confirmed that all hornets measured produce wing sounds with a fundamental frequency between 90Hz and 130Hz, and that in addition to the fundamental frequency sound, multiple harmonic sounds are generated from their wing movements.

[0024] Furthermore, we measured the wingbeats and wing sounds of various insects, including various types of wasps, in the same way as for hornets. We then identified the fundamental frequency of each insect type. Figure 2 shows the relationship between insect type and the fundamental frequency of wing sounds. We confirmed that the fundamental frequency of hornet wing sounds ranges from 90 Hz to 130 Hz, and is clearly different from that of other insects.

[0025] From the above, it became clear that the presence of hornets can be detected with high accuracy by measuring both the fundamental frequency and harmonics.

[0026] We conducted research to detect the location of hornets with greater accuracy. As a result, we confirmed that when a hornet is located above the sound collection means, the second harmonic, which is a harmonic with a frequency twice the fundamental frequency, becomes equal to or louder than the fundamental frequency sound. Therefore, it became clear that by using a directional microphone as the sound collection means, it is possible to determine whether a hornet is located above the sound collection means. The wing sounds of the giant hornet in Figure 4 and the small hornet in Figure 6 were measured by placing the giant hornet in front of the sound collection means. On the other hand, the wing sounds of the hornets in Figures 7, 8, and 9 were measured by placing the sound collection means at the same height as the hornet.

[0027] Further investigation revealed that the amount of high-frequency noise detected varied depending on the relative height of the hornet relative to the sound collection means. High-frequency noise here refers to sounds with frequencies above 10 kHz that are not harmonics.

[0028] Specifically, it was confirmed that the wing sounds of a hornet located below the sound collection means contain more high-frequency noise than the wing sounds of a hornet located above the sound collection means. Figure 10(a) shows the measurement results of the wing sounds of a hornet located below the microphone. Figure 10(b) shows the measurement results of the wing sounds of a hornet located above the microphone.

[0029] By utilizing the above findings, it has become possible to obtain a hornet location detection method and a hornet location detection device that can detect the location of a hornet with higher accuracy than conventional methods.

[0030] [Hornet location detection device] 11 shows a schematic configuration of the hornet location detection device 1 of this embodiment. The hornet location detection device comprises a sound collection means, an analysis means, a determination means, and an output means.

[0031] The sound collecting means in this embodiment is a directional microphone 11. The directional microphone 11 collects sounds occurring in the direction in which its tip is pointed. The sounds collected by the directional microphone 11 include various environmental sounds in addition to the sound of the hornet X's wings.

[0032] The analysis means in this embodiment is a frequency analysis program. The determination means is a result determination program. The frequency analysis program and the result determination program are stored in an executable format in the storage means of the computer 12. The frequency analysis program performs frequency analysis on the sound collected by the directional microphone 11 and outputs the sound volume for each frequency. The result determination program extracts the fundamental frequency sound, the harmonic sounds of the fundamental frequency, and high-frequency noise from the results of the frequency analysis. Furthermore, if the extracted fundamental frequency sound is between 90 Hz and 130 Hz and the harmonic that is twice the fundamental frequency is louder than the fundamental frequency sound, it determines that the hornet X is present in front of the directional microphone. At the same time, if the extracted high-frequency noise is louder than a predetermined threshold, it determines that the hornet X is below the directional microphone. The result determination program outputs the determination result to the output means.

[0033] A preferred output means in this embodiment is the light 13. When the light 13 receives from the computer 12 a determination result that the hornet X is present, it emits light to warn the surrounding area of ​​the presence of the hornet X.

[0034] The hornet location detection device 1 of this embodiment can detect the presence of a hornet. In particular, it can accurately detect a hornet X that is present in front of and below the directional microphone 11. For example, when a user carries the hornet location detection device 1 and uses it while moving, the directional microphone 11 can be placed higher than the user's head and used with the microphone facing forward, thereby enabling accurate detection of hornets that may affect the user.

[0035] [Wasp location detection method] A hornet location detection method that can be implemented using the hornet location detection device 1 of this embodiment will be described. A flowchart of the hornet location detection method is shown in Figure 12. The hornet location detection method includes a sound collection step, a frequency analysis step, and a determination step.

[0036] In the sound collection step (S1) of the hornet detection method of this embodiment, a directional microphone 11 is used. The directional microphone 11 collects environmental sounds in front of it and inputs the obtained sound data into a computer 12. In the frequency analysis step (S2), a frequency analysis program of the computer 12 performs frequency analysis on the input sound data and outputs the sound volume for each frequency.

[0037] In the determination step (S3), the result determination program of the computer 12 determines whether or not a sound with a fundamental frequency of 90 Hz to 130 Hz is present, and if a sound with the corresponding fundamental frequency is present, outputs a preliminary determination result that a hornet is present. If a preliminary determination result that a hornet is present is obtained, the result determination program then determines whether or not the harmonic sounds and high-frequency noise are each louder than a predetermined threshold. If multiple harmonic sounds are observed and the harmonic that is twice the fundamental frequency is equal to or louder than the fundamental frequency sound, it determines that a hornet is present in front of the directional microphone. At the same time, if high-frequency noise with a volume equal to or greater than the predetermined threshold is detected, it determines that a hornet is present below the directional microphone. If a determination result that a hornet is present is obtained, the result determination program outputs the result to the light 13 of the output means. This causes the light 13 to light up and issue a warning to the user.

[0038] While specific examples of the present invention have been described in detail above based on the embodiments, these are merely examples and do not limit the scope of the claims. The claimed technology includes various modifications and variations of the specific examples exemplified above. While the embodiments show an example in which the hornet detection result is output by light 13, it is also possible to notify the detection result by other output methods such as vibration or sound. Furthermore, the threshold values ​​for the fundamental frequency sound, harmonic sound, and high-frequency noise can be set taking into account the performance of the sound-collecting microphone and the environmental sound conditions in the environment in which the hornet detection is performed. [Explanation of symbols]

[0039] 1. Hornet location detection device 11 Sound collection means 12. Computer 13 Output Method X Hornet

Claims

1. a sound collection step of collecting environmental sounds in front of a directional microphone using the directional microphone; a frequency analysis step of frequency-analyzing the environmental sound and identifying from the environmental sound the magnitude of a fundamental frequency resulting from the movement of the hornet's wings, the magnitude of harmonics relative to the fundamental frequency, and high-frequency noise; a determining step of determining whether the fundamental frequency sound, the harmonic sound, and the high-frequency noise are each greater than a predetermined threshold; A method for detecting the location of a hornet comprising:

2. The hornet location detection method described in claim 1, characterized in that the judgment process determines that a hornet is present in front of the directional microphone if multiple harmonics are observed and the harmonic that is twice the fundamental frequency is equal to or louder than the sound of the fundamental frequency.

3. 3. The method for detecting a location of a hornet according to claim 2, wherein said determining step further comprises determining that the hornet is present at a lower position than said directional microphone when said high frequency noise is detected.

4. 2. The method for detecting the location of a hornet according to claim 1, wherein the fundamental frequency is 90 Hz to 130 Hz.

5. a sound collection means having a directional microphone for collecting sounds including environmental sounds and the wing sounds of hornets; analysis means for performing frequency analysis on the sound collected by the sound collection means; A determination means for extracting a fundamental frequency sound, a harmonic sound relative to the fundamental frequency, and high frequency noise from the frequency analysis results obtained by the analysis means, and determining that a hornet is present in front of and below the directional microphone when each of the extracted sounds is louder than a predetermined threshold; A means for outputting the determination result; A hornet location detection device comprising:

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