Bird repelling method and system based on audio

Abstract

The invention provides a bird repelling method and system based on audio, and relates to the technical field of bird repelling. The method comprises the following steps: acquiring simulation sound for simulating attack and injury of birds by a predator; the simulation sound comprises bird activity sound, predator approach sound, attack sound and damage feedback sound which are sequentially added on the basis of the environment baseline sound; the simulated sound is played in the bird repelling area, and bird repelling is achieved; the system comprises an audio bird repeller, a Doppler effect simulation module, an environment feedback module and a deep learning module. According to the invention, birds can be effectively repelled through the simulation sound corresponding to the four-stage event chain.

Description

Technical Field

[0001] This invention relates to the field of bird deterrence technology, specifically to an audio-based method and system for bird deterrence. Background Technology

[0002] In recent years, with the improvement of the ecological environment, the number of birds has increased dramatically and their range of activity has expanded, resulting in a significant increase in bird-related accidents in power grids, airports, farms, fish ponds and other settings.

[0003] Existing technologies often utilize birds' biological characteristic of fearing sound and light to achieve bird deterrence. However, existing bird deterrence schemes suffer from drawbacks such as limited audio frequencies, lack of temporal logic, and insufficient environmental adaptability, resulting in poor effectiveness in driving away birds. Summary of the Invention

[0004] To address the shortcomings of the prior art as described in the background section, this invention provides an audio-based bird deterrence method and system that can effectively deter birds through simulated sounds corresponding to a four-stage event chain.

[0005] To solve the above problems, the technical solution of the present invention is as follows: An audio-based bird deterrence method includes: Acquire simulated sounds of birds being attacked and injured by predators; the simulated sounds include bird activity sounds, predator approach sounds, attack sounds, and victim feedback sounds added sequentially to the environmental baseline sounds; the environmental baseline sounds include wind sounds, animal calls, and traffic noise; bird activity sounds include calls of birds of the same species and the sound of flapping wings; predator approach sounds include conversations made by humans, sharp calls made by birds of prey, or rustling sounds of mammals stalking; attack sounds include shotgun firing, raptor swooping sounds, and the growling sounds of felines; victim feedback sounds include the cries and screams of birds when they are injured. Simulated sounds are played within the bird-repelling area to drive away birds.

[0006] As another aspect of the invention, the duration of similar activity sounds is 0-20s, the duration of predator approach sounds is 20-35s, the duration of attack sounds is 35-45s, and the duration of victim feedback sounds is 45-60s.

[0007] As another aspect of the invention, the sound pressure levels of similar activity sounds, predator approach sounds, attack sounds, and victim feedback sounds increase in a ratio of 1:1.2:1.5:2.0.

[0008] As another aspect of the invention, the frequency bands of the analog sound include the fundamental frequency band, the modulation frequency band, and white noise.

[0009] As another aspect of the invention, the base frequency band is the sensitive frequency band for driving away birds, the modulation frequency band is a random offset of ±50Hz after each playback of the analog sound, and the white noise accounts for 0.5% of the sound pressure of the analog sound playback.

[0010] As another aspect of the invention, the playback interval of the analog sound playback cycle is 30 to 90 seconds.

[0011] As another aspect of the invention, during the playback of the simulated sound, when the humidity of the bird-driving area is in the range of 80-100%, the high-frequency gain of the simulated sound is increased by 3-10dB.

[0012] The present invention also provides an audio-based bird deterrence system, comprising the following components electrically connected in sequence: Audio bird deterrent device, used to play simulated sounds of birds being attacked and injured by predators; The Doppler effect simulation module is used to dynamically adjust the azimuth angle of the simulated sound source; the Doppler effect simulation module is equipped with an angle adjuster that can adjust the horizontal angle of the audio bird deterrent. An environmental feedback module is used to automatically simulate sound attenuation by using a humidity sensor; The deep learning module is used to monitor bird activity through a camera and optimize the playback strategy of the simulated sounds based on their impact on bird activity. The playback strategy includes the volume, frequency, and playback interval of the simulated sounds.

[0013] The beneficial effects of this invention are: This invention pioneers an acoustic event chain structure that conforms to the cognitive logic of birds, proposes a dynamic spectrum modulation resistance auditory adaptation mechanism, constructs an environment-adaptive intelligent sound field control system, and implements a rigorously verified long-term repellency improvement scheme, thereby achieving an effective bird-repelling effect. Attached Figure Description

[0014] Figure 1 This is a flowchart of an audio-based bird deterrence method provided in Example 1; Figure 2 This is an architecture diagram of an audio-based bird deterrence system provided in Example 2. Detailed Implementation

[0015] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this invention, and not all of them. Based on the embodiments of this invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this invention.

[0016] The terminology used in the embodiments of this invention is for the purpose of describing particular embodiments only and is not intended to limit the invention. The singular forms “a,” “the,” and “the” as used in the embodiments of this invention and the appended claims are also intended to include the plural forms, and “multiple” generally includes at least two unless the context clearly indicates otherwise.

[0017] It should be understood that although the terms first, second, third, etc., may be used to describe... in the embodiments of the present invention, these... should not be limited to these terms. These terms are only used to distinguish... For example, first... may also be referred to as second... without departing from the scope of the embodiments of the present invention, and similarly, second... may also be referred to as first...

[0018] Example 1: This example describes an audio-based bird deterrence method, such as... Figure 1 As shown, the method includes S101-S102.

[0019] S101. Obtain simulated sounds of birds being attacked and injured by predators.

[0020] The simulated sounds include sequential sounds of similar birds' activities, predator approach sounds, attack sounds, and victim feedback sounds. Environmental baseline sounds include wind, animal calls, and traffic noise. Bird activity sounds include calls of similar birds and the sound of flapping wings. Predator approach sounds include human conversations, sharp calls from birds of prey, or rustling sounds of mammals stalking. Attack sounds include shotgun fire, raptor swooping, and the growling of felines. Victim feedback sounds include the cries of injured birds.

[0021] S102. Play simulated sounds within the bird-repelling area to repel birds.

[0022] The duration of similar activity sounds is 0-20s, the duration of predator approach sounds is 20-35s, the duration of attack sounds is 35-45s, and the duration of victim feedback sounds is 45-60s. The sound pressure levels of similar activity sounds, predator approach sounds, attack sounds, and victim feedback sounds increase in a ratio of 1:1.2:1.5:2.0.

[0023] It should be understood that the above-mentioned sequence of simulated sounds has the advantage of resisting habituation. It can be designed according to the scene to significantly reduce the speed at which birds adapt to fixed stimuli. It can also be closer to the behavioral habits of birds. Since birds are more sensitive to the combination of "social / warning information of the same species + the approach of a predator + victim feedback", playing simulated sounds in the above sequence can achieve a more effective and sustained driving effect.

[0024] Optionally, the playback interval of the aforementioned analog sound can be any duration within the range of 30 to 90 seconds. Furthermore, when the humidity in the bird-driving area is within the range of 80% to 100%, the high-frequency gain of the analog sound is increased by 3 to 10 dB.

[0025] Understandably, the gradual increase in the high-frequency gain of the aforementioned simulated sound can lead to quantitative and qualitative changes in the threshold, thereby enhancing the sense of oppression from nearby threats and reducing panic-induced harm and non-target interference.

[0026] Specifically, a slight increase in sound pressure from the environmental baseline to that of birds of similar hearing initially "draws attention," followed by a larger increase during the predator's approach and attack phase, prompting physiological / behavioral responses to cross the escape threshold; this is more efficient and controllable than "startling with a high volume from the outset." The combined transmission of increasing amplitude and spectral complexity conveys a dynamic message of "approaching threat" to birds, aligning with their instinctive and sensitive responses to threats. Gradual sound pressure avoids the startling reaction (collision, group chaos) of sudden, extremely loud noises, balancing safety and social acceptability in sensitive settings such as residential areas, farmland, and airports.

[0027] In one application scenario, the simulated sound above simulates a four-stage threat scenario. The four-stage threat scenario includes: ambient baseline sound → similar activity sound (0-20s) → predator approach sound (20-35s) → attack sound (35-45s) → victim feedback sound (45-60s).

[0028] Furthermore, the frequency bands of the simulated sound include a fundamental frequency band, a modulation frequency band, and white noise. The fundamental frequency band is the sensitive frequency band for driving away birds, the modulation frequency band is randomly shifted by ±50Hz after each simulated sound playback, and the white noise accounts for 0.5% of the sound pressure level of the simulated sound playback. Understandably, through the above random shift, it is possible to prevent birds from becoming accustomed to a fixed frequency, expand the spectral coverage, cover the auditory adaptation of different individuals, enhance the acoustic naturalness and realism, and can work in conjunction with the acoustic pressure gradient to enhance the driving effect.

[0029] Taking the myna bird as an example, the design process of the above method is as follows.

[0030] 1. Construction of the acoustic element library Target species: Myna (Acridotheres cristatellus).

[0031] Elemental composition: Similar sounds: Myna bird calls (5-8kHz).

[0032] Predators: gunshots, hunting dogs (with Doppler shift characteristics).

[0033] Victim sounds: wailing and screaming (including 15kHz high-frequency transients).

[0034] 2. Playback Strategy Basic cycle: 60 seconds / round, with random intervals (30-90 seconds).

[0035] Three-dimensional sound field: 8 sets of loudspeaker arrays, sound pressure level difference >15dB.

[0036] Weather compensation: Increases high-frequency band gain by 3dB when humidity > 80%.

[0037] 3. Effect Verification AI-powered cameras are used to monitor the effectiveness of the expulsion efforts.

[0038] Example 2: This example describes an audio-based bird deterrence system used to execute an audio-based bird deterrence method provided in Example 1, such as... Figure 2 As shown, it includes the following electrically connected components in sequence: An audio bird deterrent device that plays simulated sounds of birds being attacked and injured by predators.

[0039] The Doppler effect simulation module is used to dynamically adjust the azimuth angle of the simulated sound source. This Doppler effect simulation module includes an angle adjuster that can adjust the horizontal angle of the audio bird deterrent.

[0040] An environmental feedback module is used to automatically simulate sound attenuation by using a humidity sensor.

[0041] The deep learning module is used to monitor bird activity via camera and optimize the playback strategy of simulated sounds based on their impact on bird activity. The playback strategy includes the volume, frequency, and playback interval of the simulated sounds.

[0042] As can be seen from the above, the environmental feedback module has a built-in humidity sensor and an audio bird repeller controller. The humidity sensor detects the ambient humidity. When the ambient humidity reaches the range of 80~100%, the audio bird repeller controller controls the high-frequency gain of the analog sound emitted by the audio bird repeller to be increased by 3~10dB.

[0043] The aforementioned deep learning module has a built-in camera and intelligent recognition model (such as the Yolov8 model). When the intelligent recognition model detects that birds fly away from the bird deterrent area after the simulated sound is played, the current playback strategy is retained; otherwise, the playback strategy of the simulated sound is updated, for example, by increasing the volume and frequency of the simulated sound and reducing the playback interval of the playback cycle.

[0044] In summary, the audio-based bird deterrence method and system provided in this application have the following advantages.

[0045] 1. It pioneered an acoustic event chain structure that conforms to the cognitive logic of birds, constructing a continuous threat in four stages: "same species → approach → attack → victim" with increasing sound pressure at a ratio of 1:1.2:1.5:2.0, which significantly reduces habituation and increases the trigger rate of avoidance.

[0046] 2. A dynamic spectrum modulation anti-auditory adaptation mechanism is proposed, which introduces a random offset of "±50Hz" per cycle and 0.5% white noise to make the voiceprint continuously change slightly, break the fixed frequency adaptation and cover a wider range of auditory sensitive points.

[0047] 3. Construct an environment-adaptive intelligent sound field control system that dynamically adjusts in real time based on temperature, humidity, wind, background noise, and a reference microphone closed loop, thereby stably outputting an effective sound field under different climates and scenarios.

[0048] 4. A rigorously proven long-term avoidance improvement scheme that combines video behavior recognition and restricted reinforcement learning to schedule playback timing, location, and intensity on demand and implement rotational anti-habituation, achieving a higher and more sustainable avoidance rate with lower energy consumption in long-term operation.

Claims

1. A method of audio-based bird repelling, characterized in that, The method comprises: acquiring a simulation sound simulating a bird being attacked by a predator and being injured; the simulation sound comprises, in sequence, a bird activity sound, a predator approaching sound, an attack sound, and a victim feedback sound added on the basis of an environmental baseline sound; wherein the environmental baseline sound comprises wind sound, animal call sound, and traffic noise, the bird activity sound comprises the chirping sound of a bird of the same species and the sound of flapping wings, the predator approaching sound comprises the talking sound of a human, the sharp chirping sound of a raptor, or the rustling sound of a mammal sneaking, the attack sound comprises the sound of a hunting gun firing, the sound of a raptor pouncing, or the sound of a feline animal growling, and the victim feedback sound comprises the howling and screaming sound of a bird when it is injured; playing the simulation sound in a bird driving area to achieve bird driving.

2. A method of bird deterrence based on audio as claimed in claim 1, wherein, The duration of the bird activity sound is 0-20s, the duration of the predator approaching sound is 20-35s, the duration of the attack sound is 35-45s, and the duration of the victim feedback sound is 45-60s.

3. A method of bird deterrence based on audio as claimed in claim 1 or 2, wherein, The sound pressure of the bird activity sound, the predator approaching sound, the attack sound, and the victim feedback sound is increased in a ratio of 1:1.2:1.5:2.

0.

4. The audio-based bird repelling method of claim 1, wherein, The frequency band of the simulation sound comprises a basic frequency band, a modulated frequency band, and white noise.

5. A method of bird deterrence based on audio as claimed in claim 4, wherein, The basic frequency band is a sensitive frequency band for driving target birds, the modulated frequency band is randomly offset by ±50Hz after each playing of the simulation sound, and the white noise accounts for 0.5% of the sound pressure of the simulation sound.

6. A method of bird repelling based on audio as claimed in claim 1, wherein, The playing interval of the playing cycle of the simulation sound is 30-90 seconds.

7. A method of bird repelling based on audio as claimed in claim 1, wherein, During the playing of the simulation sound, when the humidity of the bird driving area is in the range of 80-100%, the high frequency band gain of the simulation sound is increased by 3-10dB.

8. An audio-based bird repelling system, characterized in that, The method comprises: an audio bird repeller for playing a simulation sound simulating a bird being attacked by a predator and being injured; a Doppler effect simulation module for dynamically adjusting the azimuth angle of the sound source of the simulation sound; the Doppler effect simulation module is provided with an angle adjuster that can adjust the angle of the audio bird repeller in the horizontal direction; an environmental feedback module for automatically compensating for the sound attenuation of the simulation sound through a humidity sensor; a deep learning module for monitoring bird activity through a camera and optimizing the playing strategy of the simulation sound according to the influence of the simulation sound on bird activity; the playing strategy comprises the sound volume, frequency, and playing interval length of the playing cycle of the simulation sound.

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