Intelligent bird repelling device for electric power transmission and distribution facilities and use method

Abstract

The invention relates to an intelligent bird repelling device for an electric power transmission and distribution facility and a use method, the intelligent bird repelling device is used for repelling birds in a to-be-repelled area of the electric power transmission and distribution facility, and the intelligent bird repelling device comprises a main control module, a bird identification module, an ID binding unit, a repelling execution module and a strategy decision module; the main control module comprises a processor and a memory, and the memory stores an individual feature database, a category feature database, a hierarchical response strategy program and an equipment control instruction set; the bird recognition module is used for extracting bird characteristics; the ID binding unit generates a unique Hash code identifier for each individual bird through bird information extracted by the bird identification module and records the unique Hash code identifier into an individual feature database; the strategy decision module is used for calling a grading response strategy program and activating a corresponding grading response instruction according to the historical occurrence frequency of the bird ID; the repelling execution module is used for analyzing the grading response instruction and outputting a physical driving signal, birds can be repelled more accurately, and the negative influence on the ecological environment is reduced.

Description

Technical Field

[0001] This invention relates to an intelligent bird deterrent device and its usage method for power transmission and distribution facilities, belonging to the field of bird deterrence technology. Background Technology

[0002] In modern power transmission systems, the safety hazards posed by birds to power facilities are receiving increasing attention. Bird strikes can not only cause power outages and disrupt power supply, but also trigger a series of other economic losses and safety issues. Therefore, improving the efficiency and intelligence of bird deterrence technologies is crucial for ensuring the safety and reliability of power systems.

[0003] With the expansion of power infrastructure and technological advancements, the frequency and severity of bird strikes on power lines have increased. Improving bird deterrence techniques can effectively reduce the threat posed by birds to power facilities, thereby lowering maintenance costs and minimizing downtime losses. Bird control methods need to consider both the protection of power facilities and the ecological well-being of birds. Traditional bird deterrence methods may cause excessive disturbance to birds, and in some cases, even lead to birds feigning death or becoming stunned, causing them to collide with cables. Therefore, a smart bird deterrence device and its usage method for power transmission and distribution facilities are needed to more accurately repel birds and reduce negative impacts on the ecological environment. Summary of the Invention

[0004] In order to solve the above-mentioned problems of the existing technology, the present invention provides an intelligent bird deterrent device and its usage method for power transmission and distribution facilities, which can more accurately repel birds and reduce the negative impact on the ecological environment.

[0005] The technical solution of the present invention is as follows:

[0006] An intelligent bird-repelling device for power transmission and distribution facilities is used to repel birds from areas within the facilities. The device includes a main control module, a bird identification module, an ID binding unit, a repelling execution module, and a strategy decision module. The main control module includes a processor and a memory. The memory stores an individual characteristic database, a species characteristic database, a tiered response strategy program, and a set of device control instructions. The bird identification module extracts bird characteristics. The ID binding unit generates a unique hash code identifier for each bird based on the bird information extracted by the bird identification module and records it in the individual characteristic database. The strategy decision module calls the tiered response strategy program and activates the corresponding tiered response instruction based on the historical occurrence count of the bird ID. The repelling execution module parses the tiered response instruction and outputs a physical drive signal.

[0007] The driving-away execution module includes a laser emission module, a multi-frequency sound wave generator, and an environmental interference unit. The laser emission module includes multiple lasers, at least two of which are equipped with laser light sources of different colors. The multi-frequency sound wave generator includes an array of several directional loudspeakers, a frequency band control unit, and a sound wave type decision unit. The environmental interference unit is used to interfere with the birds' judgment of their surrounding environment.

[0008] The frequency band control unit is used to control the directional loudspeaker to emit two types of sound wave signals: predator sound waves and non-adaptive sound waves. The sound wave type decision unit has a built-in feature library of birds that can easily feign death. The sound wave type decision unit receives the species information output by the bird identification module in real time and activates different types of sound wave signals according to the species information.

[0009] The environmental interference unit includes a rotary motor and a meteorological sensor mounted on the crossarm of the transmission tower. The output shaft of the rotary motor is fixedly connected to a hollow sphere. Different colored first reflectors are mounted on the outer surface of the hollow sphere, and the first reflectors of different colors are spliced ​​together to completely cover the outer surface of the hollow sphere. Several arc panels are also provided on the crossarm of the transmission tower. The arc panels are arranged circumferentially around the hollow sphere, and the inner arc surface of the arc panel is opposite to the outer arc surface of the lower half of the hollow sphere. A second reflector is laid on the arc panel, and several infrared supplementary lights are also integrated on the arc panel. The surfaces of the first and second reflectors are covered with a transparent electrothermal film.

[0010] The bird identification module includes a gimbal-type integrated camera, an infrared sensor, and an image acquisition unit. The gimbal-type integrated camera and the infrared sensor capture the bird's movement trajectory, and the image acquisition unit extracts SIFT feather pattern feature points, 3D point cloud reconstruction of body length / beak length ratio, flight vibration frequency, and gliding angle data. The ID binding unit constructs a unique hash code identifier by using SIFT feather pattern feature points, 3D point cloud reconstruction of body length / beak length ratio, and recording flight vibration frequency and gliding angle.

[0011] A method of using an intelligent bird deterrent device, comprising the intelligent bird deterrent device for power transmission and distribution facilities as claimed in any one of claims 1-5, characterized in that it includes the following steps:

[0012] S1: The bird's movement trajectory is captured by a pan-tilt-zoom integrated camera and an infrared sensor. The image acquisition unit extracts SIFT feather pattern feature points, 3D point cloud reconstruction of body length / beak length ratio, flight vibration frequency and gliding angle data of bird feathers; the ID binding unit integrates the above data to generate a unique hash code identifier and enters it into the individual feature database.

[0013] S2: The strategy decision-making module matches the individual feature database and triggers a graded response instruction based on the historical occurrence count of the target bird's hash code;

[0014] S3: The bird-driving execution module outputs physical drive signals to drive away birds based on the hierarchical response instructions of the strategy decision module.

[0015] In step S2, the graded response commands include a first-level response command, a second-level response command, and a third-level response command. If the bird identification module identifies the target bird for the first time, it triggers the first-level response command, and the strategy decision module activates the laser emission module to illuminate the target bird's eyes with a green or blue laser light source. If the bird identification module identifies the target bird for the second time, it calls the species feature database to confirm the bird type, and the sound wave type decision unit determines whether the bird belongs to the category of easily feigning death. Based on the determined category, it selects to release non-adaptive sound waves or release the sound waves of its natural enemy. If the bird identification module identifies the target bird three or more times, it drives the rotary motor to rotate the hollow sphere, and simultaneously activates the first-level and second-level response commands. It also obtains key environmental factors for bird deterrence in real time through meteorological sensors, monitors environmental parameters in real time, and dynamically adjusts execution parameters. When the light intensity is <200 lux, the power of the infrared supplementary light is increased to 120%, and when the ambient temperature is ≥35℃, the heating function of the transparent electric heating film is turned off.

[0016] In step S1, the individual bird category bound to the ID binding unit is matched and marked by the species feature database, and then the unique hash code identifier is updated and entered into the individual feature database.

[0017] In step S3, the sound wave type decision unit matches and confirms the feature library of birds that are prone to feigning death based on the individual bird category bound to the unique hash code identifier, and activates different types of sound wave signals based on the confirmed category information.

[0018] The present invention has the following beneficial effects:

[0019] This invention utilizes a bird identification module with a pan-tilt-zoom integrated camera and infrared sensors to extract SIFT feather pattern feature points, reconstruct the body length / beak length ratio from 3D point clouds, and analyze flight vibration frequency and gliding angle data. This data is then fused with an ID binding unit to generate a unique hash-coded identifier, which is entered into an individual feature database. Simultaneously, a species feature database is used to label the bird category. A strategy decision module invokes a tiered response strategy program, activating first-level, second-level, or third-level response commands based on the historical occurrence frequency of the bird ID. The deterrence execution module parses and executes these commands at each level, achieving individualized and accurate bird identification and tiered, progressive deterrence. This significantly reduces bird collisions, mitigates the risk of birds feigning death and falling, improves the persistence of bird deterrence, and is eco-friendly. Attached Figure Description

[0020] Figure 1 This is a flowchart of the present invention;

[0021] Figure 2 This is a schematic diagram of the intelligent bird-repelling device of the present invention.

[0022] The reference numerals in the figure are as follows:

[0023] 1. Main control module; 2. Bird identification module; 3. ID binding unit; 4. Driving execution module; 5. Strategy decision-making module; 12. Memory; 121. Individual characteristic database; 122. Species characteristic database; 41. Laser; 42. Directional speaker; 421. Feature database of birds that easily feign death; 432. First reflector; 433. Second reflector; 434. Curved panel; 435. Infrared supplementary light. Detailed Implementation

[0024] The present invention will now be described in detail with reference to the accompanying drawings and specific embodiments.

[0025] Please see Figures 1 to 2 The invention provides a technical solution:

[0026] An intelligent bird-repelling device for power transmission and distribution facilities, used to repel birds from a designated bird-repelling area within the facilities, includes a main control module 1, a bird identification module 2, an ID binding unit 3, a repelling execution module 4, and a strategy decision module 5. The main control module 1 includes a processor and a memory 12. The memory 12 stores an individual characteristic database 121, a species characteristic database 122, a hierarchical response strategy program, and a set of device control instructions. The processor of the main control module 1 coordinates the various modules to achieve intelligent bird repelling by executing the hierarchical response strategy program stored in the memory 12. The bird identification module 2 is used to extract bird characteristics... The initial feature dataset is generated by extracting bird biological characteristics using multispectral image analysis technology, including but not limited to dynamic parameters such as feather texture, body proportions, and flight posture. This dataset is then transmitted to the ID binding unit 3. The ID binding unit 3 generates a unique hash code identifier for each bird based on the bird information extracted by the bird recognition module 2 and records it into the individual feature database 121. Specifically, after receiving the initial feature dataset, the ID binding unit 3 generates a unique digital code identifier (e.g., hash value "9f86d081...") using a feature fusion algorithm and stores this identifier synchronously with the spatiotemporal information of the corresponding bird. The individual bird is then entered into the individual characteristic database 121 to establish a traceable individual behavior profile. Further steps include matching the individual bird with the species characteristic database 122 to confirm its species, updating the unique hash code identifier based on the confirmed species, and then entering it into the individual characteristic database 121 (e.g., hash value "9f86d081..., Sparrow"). The strategy decision module 5 is used to call the hierarchical response strategy program and retrieve historical records from the individual characteristic database 121 in real time. Based on the bird ID's historical occurrence count N, the corresponding hierarchical response instruction is activated upon first identification (N=1). When N=2, a Level 1 response command is generated; when N=2, a Level 2 response command is generated; and when N=3, a Level 3 response command is generated. The driving execution module 4 is used to parse the graded response commands and output physical driving signals. The Level 1 response command generates an optical interference control signal, the Level 2 response command generates an acoustic driving control signal, and the Level 3 response command generates a composite environmental intervention control signal. Through the collaboration of the above modules, a gradual driving away of the same bird is achieved: the first driving away uses low-invasive stimulation, and the interference intensity is gradually increased in subsequent stages, ultimately changing the bird's environmental perception so that it actively avoids the area to be driven away.

[0027] The three-tiered, progressive bird deterrence strategy employed in this invention has significant technical advantages: Firstly, a frequency-based grading mechanism based on individual identification is used. The initial deterrence employs low-invasive optical stimulation to reduce birds' wariness of the area, avoiding excessive fright that could lead to stress-induced feigning death. When the same bird returns a second time, acoustic interference is escalated, with sound wave types customized to its species characteristics (e.g., sound waves that avoid predators of birds prone to feigning death), achieving precise behavioral intervention. If the bird continues to adapt and appears a third time, a composite environmental intervention approach is initiated, simultaneously combining optical and acoustic deterrence. By disrupting its spatial perception of safety boundaries, the bird's environmental trust is completely undermined, ultimately leading to a behavioral reshaping from short-term deterrence to long-term avoidance. This significantly enhances the durability of power facility protection while ensuring eco-friendliness.

[0028] The deterrence module 4 includes a laser emission module, a multi-frequency acoustic wave generator, and an environmental interference unit. The laser emission module includes multiple lasers 41, at least two of which are equipped with laser light sources of different colors. For example, a green light source (520-570nm) targets diurnal birds, matching their visible light sensitivity peak, instantly stimulating retinal photoreceptor cells to produce a glare effect. A blue light source (450-500nm) targets nocturnal birds, utilizing their rod cells' enhanced sensitivity to short wavelengths. Both light sources flash at a 20Hz pulse frequency, continuously interfering with visual focus through a flash-lock alternating illumination pattern, making it impossible for birds to stably identify the outline of power facility structures, ultimately forcing them to actively avoid dangerous areas. This design fully utilizes the characteristics of the bird's visual system, ensuring that light stimulation only causes temporary disorientation without causing physiological damage. The multi-frequency acoustic wave generator includes an array of directional speakers 42, a frequency band control unit, and an acoustic wave type decision unit. The environmental interference unit is used to interfere with the birds' judgment of their surrounding environment.

[0029] The frequency band control unit is used to control the directional loudspeaker 42 to emit two types of sound wave signals: predator sound waves and non-adaptive sound waves. The sound wave type decision unit has a built-in feature library 421 for birds that are prone to feigning death. The sound wave type decision unit receives the species information output by the bird identification module 2 in real time and activates different types of sound wave signals according to the species information. The sound wave type decision unit makes real-time judgments based on the species information fed back by the bird identification module 2 and the built-in feature library 421 for birds that are prone to feigning death. When the target bird belongs to the category of birds that are prone to feigning death (such as yellow-bellied tits), it activates non-adaptive sound waves (typically 8-12kHz frequency-converting pulses). These sound waves force the birds to flee by creating auditory discomfort, rather than triggering their instinct to feign death to avoid danger. For birds that are not prone to feigning death, it releases preset predator sound waves (such as the call of a sparrowhawk) to effectively drive them away by utilizing their innate fear reflex. This classification mechanism fundamentally avoids the failure of traditional bird deterrent devices due to misuse of sound waves, which instead exacerbates the phenomenon of birds lingering. In particular, it solves the electrical safety hazard of birds that feign death and fall after being startled.

[0030] The environmental interference unit includes a rotating motor and a meteorological sensor mounted on the crossarm of the transmission tower. The output shaft of the rotating motor is fixedly connected to a hollow sphere. Different colored first reflectors 432 are mounted on the outer surface of the hollow sphere, and the first reflectors 432 of different colors are spliced ​​together to completely cover the outer surface of the hollow sphere. Several arc panels 434 are also mounted on the crossarm of the transmission tower. The arc panels 434 are arranged circumferentially around the hollow sphere, and the inner arc surface of the arc panel 434 is opposite to the outer arc surface of the lower half of the hollow sphere. A second reflector 433 is laid on the arc panel 434, and several infrared supplementary lights 435 are also integrated on the arc panel 434. The surfaces of the first reflectors 432 and the second reflectors 433 are covered with a transparent electrothermal film to avoid affecting the reflective effect under conditions such as low temperature and fog.

[0031] Specifically, the first reflectors 432, each with a different color scheme, include a white, a blue, and a red reflector. The white reflector reflects all wavelengths of visible light (450-750nm) to create a bright glare; the blue reflector focuses on reflecting short-wavelength light (450-495nm) to produce a cool-toned flicker; and the red reflector enhances long-wavelength reflection (620-750nm) to output a warm-toned pulse. These three reflectors alternately as the sphere rotates, generating a 0.5-3Hz frequency-varying array of colored light spots in space. This forms a discretely distributed, high-intensity visual stimulus source, which is then adjacent to each other and covers the outer surface of the hollow sphere. When the rotating motor drives the hollow sphere to rotate, the first reflectors 432 of different colors rotate synchronously, producing a continuously changing reflection spectrum. The dynamic colored light stimulus primarily affects the bird's vision. Firstly, the alternating flashing of different colors can disrupt the photoreceptor cells in the retina; secondly, the movement trajectory of the reflected light spots interferes with the bird's spatial perception; finally, there is the light path relay mechanism of the second reflector 433 in the lower half of the curved panel 434. Specifically, when the hollow sphere rotates, the reflected light from the first reflector 432 on its lower hemisphere is projected onto the curved panel at a certain downward angle. At this time, the inner curved surface of the second reflector 433 accurately captures these scattered lights and reflects them at a certain upward angle to the space directly below the device, completely eliminating the bottom blind zone caused by the sphere's rotation. At the same time, the surface texture of the second reflector 433 adopts a microprism array structure, which enables the incident light to undergo controllable diffuse reflection, forming a uniform diffuse light curtain below the crossarm, forcing birds attempting to approach from the bottom to be exposed to a high-intensity light pollution environment, thereby blocking the hidden danger of birds avoiding high-altitude interference.

[0032] The bird identification module 2 includes a pan-tilt integrated camera 21, an infrared sensor, and an image acquisition unit. The pan-tilt integrated camera 21 and the infrared sensor capture the bird's movement trajectory. The image acquisition unit extracts SIFT feather pattern feature points of bird feathers (taking 50 bird feather SIFT feather pattern feature points as an example), reconstructs the body length / beak length ratio (i.e., body size ratio) from 3D point cloud, and obtains flight vibration frequency and gliding angle data. The ID binding unit 3 constructs a unique hash code identifier by using SIFT feather pattern feature points, reconstructing the body length / beak length ratio from 3D point cloud, and recording flight vibration frequency and gliding angle.

[0033] It is worth mentioning that feather patterns in birds exhibit lifelong stability (like human fingerprints) during their growth, while the body length / beak length ratio and flight behavior gradually change. The system uses a four-dimensional feature fusion algorithm to achieve cross-lifecycle individual tracking. in For the feather-pattern feature point set (spatial coordinate matrix of ≥50 SIFT keypoints), The initial body length / beak length ratio, The initial flight frequency, The initial gliding angle is set; then, weighting coefficients are set for the four-dimensional features, as follows: Since the feather pattern remains unchanged throughout life, the feather pattern feature point P... S The weighting is 65%; according to statistics, the annual change rate of bird body size is ≤10%, and may be higher for some bird species. As a preferred option, this type of bird can be marked separately, with a body length / beak length ratio R. bl The weight is 20%; short-term fluctuations in flight frequency are affected by factors such as force or climate, and the range of change is relatively small, therefore the flight frequency F f The weight is 10%; the glide angle is affected by wind direction disturbances in real time, therefore the glide angle G... a The weight is 10%.

[0034] When a new target is detected, the current feature vector is calculated: And calculate the feather pattern matching degree in segments. N 匹配数 This refers to the number of SIFT feather pattern feature points that match between the currently acquired SIFT feather pattern feature points and the initial 50 extracted bird feather SIFT feather pattern feature points. For example, if 45 points match, then... Body size tolerance The coefficient -15 in the decay function is the engineering-optimal solution derived from biological growth characteristics and recognition error tolerance requirements. This value enables the system to automatically distinguish between natural growth (such as a 15% change in body size from a juvenile to a subadult) and individual replacement (such as another bird of the same species with a 20% difference in body size). The false positive rate is lowest at -15, for example, during the initial detection. Second test Then it can be calculated Substituting into the formula, we can obtain Sr =0.105; Frequency fluctuation Glide angle error

[0035] In summary, the comprehensive scoring formula is S 总 =0.65S P +0.2S r +0.1S f +0.05S g If S 总 If the value is ≥0.85, it can be determined that it is the same ID. At the same time, the body shape parameters and other information are updated and entered for use in the next measurement.

[0036] A method of using an intelligent bird deterrent device, comprising the intelligent bird deterrent device for power transmission and distribution facilities as claimed in any one of claims 1-5, characterized in that it includes the following steps:

[0037] S1: The pan-tilt-zoom integrated camera 21 and infrared sensor capture the bird's movement trajectory. The image acquisition unit extracts SIFT feather pattern feature points, 3D point cloud reconstruction of body length / beak length ratio, flight vibration frequency and gliding angle data of bird feathers; the ID binding unit 3 integrates the above data to generate a unique hash code identifier and enters it into the individual feature database 121.

[0038] S2: Strategy decision module 5 matches the individual feature database 121 and triggers a graded response instruction based on the historical occurrence count of the target bird's hash code;

[0039] S3: The bird-driving execution module 4 outputs physical drive signals to drive away birds based on the hierarchical response instructions of the strategy decision module 5.

[0040] In step S2, the graded response commands include a first-level response command, a second-level response command, and a third-level response command. If the bird identification module 2 identifies the target bird for the first time, the first-level response command is triggered, and the strategy decision module 5 activates the laser emission module to illuminate the target bird's eyes with a green or blue laser light source. If the bird identification module 2 identifies the target bird for the second time, it calls the species feature database 122 to confirm the bird type. The sound wave type decision unit determines whether the bird belongs to the category of easily feigning death and selects to release non-adaptive sound waves or release the sound waves of its natural enemy based on the determined category. If the bird identification module 2 identifies the target bird three or more times, it drives the rotary motor to rotate the hollow sphere, and simultaneously activates the first-level response command and the second-level response command. It also obtains key environmental factors for bird deterrence in real time through the meteorological sensor, monitors environmental parameters in real time, and dynamically adjusts the execution parameters. When the light intensity is <200 lux, the power of the infrared supplementary light 436 is increased to 120%, and when the ambient temperature is ≥35℃, the heating function of the transparent electric heating film is turned off.

[0041] In step S1, the individual bird category bound by ID binding unit 3 is matched and marked through the species feature database 122, and then the unique hash code identifier is updated and entered into the individual feature database 121.

[0042] In step S3, the sound wave type decision unit matches and confirms the bird feature library 421 of birds that are prone to feigning death based on the individual bird category bound to the unique hash code identifier, and activates different types of sound wave signals based on the confirmed species information.

[0043] The above description is merely an embodiment of the present invention and does not limit the patent scope of the present invention. Any equivalent structural or procedural transformations made based on the content of the present invention's specification and drawings, or direct or indirect applications in other related technical fields, are similarly included within the patent protection scope of the present invention.

Claims

1. An intelligent bird-repelling device for power transmission and distribution facilities, used to repel birds in a designated bird-repelling area of ​​the power transmission and distribution facilities, characterized in that: The system includes a main control module (1), a bird identification module (2), an ID binding unit (3), a driving execution module (4), and a strategy decision module (5). The main control module (1) includes a processor and a memory (12). The memory (12) stores an individual characteristic database (121), a species characteristic database (122), a graded response strategy program, and a set of device control instructions. The bird identification module (2) is used to extract bird characteristics. The ID binding unit (3) generates a unique hash code identifier for each individual bird based on the bird information extracted by the bird identification module (2) and records it into the individual characteristic database (121). The strategy decision module (5) is used to call the graded response strategy program and activate the corresponding graded response instruction based on the historical occurrence count of the bird ID. The driving execution module (4) is used to parse the graded response instruction and output a physical drive signal.

2. The intelligent bird-repelling device for power transmission and distribution facilities as described in claim 1, characterized in that: The driving-away execution module (4) includes a laser emission module, a multi-frequency sound wave generator, and an environmental interference unit; the laser emission module includes multiple lasers (41), at least two of which are equipped with laser light sources of different colors; the multi-frequency sound wave generator includes an array of several directional loudspeakers (42), a frequency band control unit, and a sound wave type decision unit; the environmental interference unit is used to interfere with the birds' judgment of the surrounding environment.

3. The intelligent bird-repelling device for power transmission and distribution facilities as described in claim 2, characterized in that: The frequency band control unit is used to control the directional loudspeaker (42) to emit two types of sound wave signals: predator sound waves and non-adaptive sound waves. The sound wave type decision unit has a built-in feature library (421) of birds that can easily feign death. The sound wave type decision unit receives the species information output by the bird identification module (2) in real time and activates different types of sound wave signals according to the species information.

4. The intelligent bird-repelling device for power transmission and distribution facilities as described in claim 3, characterized in that: The environmental interference unit includes a rotary motor and a meteorological sensor mounted on the crossarm of the transmission tower. The output shaft of the rotary motor is fixedly connected to a hollow sphere. Different colored first reflectors (432) are mounted on the outer spherical surface of the hollow sphere. The first reflectors (432) of different colors are spliced ​​together to completely cover the outer spherical surface of the hollow sphere. Several arc panels (434) are also provided on the crossarm of the transmission tower. The arc panels (434) are arranged circumferentially around the hollow sphere. The inner arc surface of the arc panel (434) is opposite to the outer arc surface of the lower half of the hollow sphere. A second reflector (433) is laid on the arc panel (434). Several infrared supplementary lights (435) are also integrated on the arc panel (434). The surfaces of the first reflector (432) and the second reflector (433) are covered with a transparent electrothermal film.

5. The intelligent bird-repelling device for power transmission and distribution facilities as described in claim 4, characterized in that: The bird identification module (2) includes a gimbal-type integrated camera (21), an infrared sensor, and an image acquisition unit. The gimbal-type integrated camera (21) and the infrared sensor capture the bird's movement trajectory. The image acquisition unit extracts SIFT feather pattern feature points, 3D point cloud reconstruction of body length / beak length ratio, flight vibration frequency, and gliding angle data. The ID binding unit (3) constructs a unique hash code identifier by using SIFT feather pattern feature points, 3D point cloud reconstruction of body length / beak length ratio, and recording flight vibration frequency and gliding angle.

6. A method of using an intelligent bird-repelling device, comprising the intelligent bird-repelling device for power transmission and distribution facilities as described in any one of claims 1-5, characterized in that, Includes the following steps: S1: The bird's movement trajectory is captured by the pan-tilt integrated camera (21) and infrared sensor. The image acquisition unit extracts the bird's feather SIFT feather pattern feature points, 3D point cloud reconstruction body length / beak length ratio, flight vibration frequency and gliding angle data. The ID binding unit (3) integrates the above data to generate a unique hash code identifier and enters it into the individual feature database (121). S2: The strategy decision module (5) matches the individual feature database (121) and triggers a graded response instruction based on the historical occurrence count of the target bird's hash code; S3: The bird-driving execution module (4) outputs physical drive signals to drive away birds according to the hierarchical response instructions of the strategy decision module (5).

7. The method of using the intelligent bird-repelling device as described in claim 6, characterized in that: In step S2, the graded response instructions include a first-level response instruction, a second-level response instruction, and a third-level response instruction. If the bird identification module (2) identifies the target bird for the first time, it triggers the first-level response instruction, and the strategy decision module (5) activates the laser emission module to illuminate the target bird's eyes with a green or blue laser light source. If the bird identification module (2) identifies the target bird for the second time, it calls the species feature database (122) to confirm the bird type. The sound wave type decision unit determines whether the bird belongs to the category of easy feigning death and selects to release non-adaptive sound waves or release the sound waves of its natural enemy based on the determined category. If the bird identification module (2) identifies the target bird three or more times, it drives the rotary motor to rotate the hollow sphere and simultaneously activates the first-level response instruction and the second-level response instruction. It also obtains the key environmental factors for bird deterrence in real time through the meteorological sensor, monitors environmental parameters in real time, and dynamically adjusts the execution parameters. When the light intensity is <200 lux, the power of the infrared supplementary light (436) is increased to 120%. When the ambient temperature is ≥35℃, the heating function of the transparent electric heating film is turned off.

8. The method of using the intelligent bird-repelling device as described in claim 6, characterized in that: In step S1, the individual bird category bound by the ID binding unit (3) is matched and marked through the species feature database (122), and then the unique hash code identifier is updated and entered into the individual feature database (121).

9. The method of using the intelligent bird-repelling device as described in claim 8, characterized in that: In step S3, the sound wave type decision unit matches and confirms the bird feature library (421) of birds that are prone to feigning death based on the individual bird category bound to the unique hash code identifier, and activates different types of sound wave signals based on the confirmed species information.

Images