A stubborn bird damage treatment method for distribution network overhead line

Abstract

The application discloses a kind of stubborn bird damage control method of distribution network overhead line, specifically related to bird damage control technical field, including specific steps as follows: S1, establish bird database group, S2, collect bird data, S3, identify birds, S4, data processing analysis, S5, fixed point angle special noise drives, S6, switch noise, S7, management data acquisition, S8, management database updates, S9, management achievement data storage.The application is placed with noise generator and distribution network overhead line at horizontal angle, removes noise or unnecessary fluctuation in signal, applies smoothing filter technology, uses difference operation to determine the maximum value of wave crest, expands the maximum value of wave crest according to noise data, stimulates birds through multidirectional fixed point and multidirectional angle, is difficult to make birds get used to the noise, and can also drive birds after a long time, and stubborn bird damage control effect is better.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of bird pest control, more particularly, the present application relates to a method for controlling stubborn bird pests on overhead lines of distribution networks. BACKGROUND

[0002] For bird pest problems on overhead lines of distribution networks, some control devices can be used for protection and solution. Some common measures and devices are as follows: anti-bird spikes, which are sharp devices installed on poles, wires or overhead components to prevent birds from resting or nesting on the lines; anti-bird nets, which use special anti-bird nets to cover the lines, effectively preventing birds from approaching or nesting on the lines; anti-bird sleeves, which are sleeves installed on the wires to attract birds away from the lines by changing the shape or color of the wires; anti-bird whistles, which use sound, light flashes or wind power to create interference and deterrence, so that birds dare not approach the lines.

[0003] After searching the existing public literature, the patent CN113678814A discloses a power transmission tower bird pest control device and method. The patent receives warning instructions through embedded collection equipment, drives the bird repelling device to repel birds, can automatically identify birds according to different bird sound image features, analyzes the bird distribution and bird pest occurrence probability, is beneficial to targeted discovery and treatment of bird pests, uses solar power to save energy and protect the environment, effectively protects the laser and sensor equipment when the external environment is harsh, and prolongs the service life of the equipment. However, the control method still has the following defects:

[0004] The above control method can target the noise to drive away birds when controlling stubborn bird pests on overhead lines of distribution networks, but the driving noise is difficult to be high-frequency stripped noise, which may cause birds to get used to the noise and be difficult to drive away birds after a long time, resulting in poor bird pest control effect. Therefore, a method for controlling stubborn bird pests on overhead lines of distribution networks is needed. SUMMARY

[0005] In order to overcome the above-mentioned defects of the prior art, the present application provides a method for controlling stubborn bird pests on overhead lines of distribution networks.

[0006] To achieve the above-mentioned purpose, the present application provides the following technical solution: a method for controlling stubborn bird pests on overhead lines of distribution networks, comprising the following specific steps:

[0007] S1, establish a bird database group, collect the species name, taxonomic information, habits, distribution range, natural enemies and noise driving audio range of various birds by using infrared cameras, sort and standardize the collected data, organize them in alphabetical order of the first letter of the name, after data sorting, the established bird database is connected with the cloud database to form a bird database group;

[0008] S2, collect bird data, fix four cameras in the middle part of the distribution network overhead line to ensure that the bird activity area can be shot, adjust the angle and field of view of the camera as needed to ensure coverage of the bird activity area, after collecting bird image data from four directions of the distribution network overhead line, the collected bird image data is uploaded to the recognition end through wireless network;

[0009] S3, identify birds, deliver the bird image data of the recognition end to the database group, compare the data in the database group with the bird image data, mainly use cosine similarity in similarity calculation method for image comparison, copy two groups of bird image data for synchronous comparison each time, search for each item of data of the bird within 5-10 seconds;

[0010] S4, data processing and analysis, analyze the searched bird data, and display the processed data on the display screen, automatically match the special noise frequency peak that the bird is afraid of according to the bird data;

[0011] S5, fixed-point and fixed-angle special noise driving, fix four noise generators at four positions of the distribution network overhead line, and position the noise generator horizontally with the distribution network overhead line. The noise generator takes the continuous sound signal as the input collected data, removes the noise or unnecessary fluctuations in the signal, applies smoothing filter technology to obtain a more stable signal, finds the maximum value point in the signal, and uses difference operation to determine the maximum value of the wave crest. According to the noise data, the maximum value of the wave crest is expanded outward, and the special noise frequency wave peak generated is the maximum value. The special noise frequency will directly impact the birds to drive them, which can specifically govern the birds;

[0012] S6, switch the noise, after 5 minutes of special noise frequency, the noise generator will play high decibel noise in a loop, and the high decibel noise mainly includes explosion sound, train whistle or car whistle noise, after 3 minutes interval, play sharp and piercing noise, such as flame jet, noise generated by detonation device, after 6 minutes interval, play sudden sound, such as gunshots and explosions, after 5 minutes interval, play low frequency vibration noise, such as low frequency vibration of buildings, low frequency noise caused by strong wind, switch these various noises at intervals;

[0013] S7, governance data collection, through the camera can be collected to the bird in the noise environment whether to fly away from the distribution network overhead line video, bird fly away time data, camera can also collect the same kind of birds whether to return to the distribution network overhead line, bird return to the distribution network overhead line time data collection, after all the data collection to generate governance data package;

[0014] S8, governance database update, governance data package can be connected to the governance database through wireless network, all data is collected into the governance database, and the governance database is updated within 10-20 seconds, and the governance database is updated within 10-20 seconds;

[0015] S9, governance achievement data storage, governance database is uploaded and stored by cloud storage, storage time is 5-10 minutes, at the same time, two U disks can be used for double backup storage offline, 2-5 workers are needed to supervise the operation of storage, and backup video needs to be uploaded for background audit after backup is completed, to determine that the governance achievement data is all stored.

[0016] Preferably, the taxonomic information in S1 is divided into bird size, feather color, beak shape, foot shape, passeriformes, falconiformes and parrotiformes information, and the information collection sequence is arranged from front to back.

[0017] Preferably, the camera distribution mode in S2 is four cameras arranged in rectangular equidistant distribution, and distributed at four direction positions of the distribution network overhead line.

[0018] Preferably, the comparison mode in S3 is mainly based on the similarity between the calculation data to compare and match, and the calculation data needs to be calculated by double processor.

[0019] Preferably, the display screen size in S4 is set to 27-32 inches, and the number of display screens is set to two.

[0020] Preferably, the smoothing filter technology in S5 mainly includes moving average filter, median filter, weighted average filter and Gaussian filter, and Gaussian filter mainly uses Gaussian function as attenuation function to reduce high frequency component and maintain noise smoothness.

[0021] Preferably, the decibel value of explosion sound, train whistle or car whistle in S6 is set to 130-160 decibels.

[0022] Preferably, the governance data package in S7 is two, and the two governance data package data is connected through wireless network sharing.

[0023] Technical effects and advantages of the present application:

[0024] 1、The present application adopts four noise generators positioned at four directions of the distribution network overhead line, and the noise generators are positioned horizontally with the distribution network overhead line. The noise generator takes continuous sound signals as input collected data, removes noise or unnecessary fluctuations in the signal, applies smoothing filter technology, uses difference operation to determine the maximum value of the wave crest, and expands the maximum value of the wave crest according to the noise data. It can automatically filter and remove noise according to bird noise, and the noise is generated according to the maximum value of the wave crest, which can directly stimulate and scare birds. Through multi-directional positioning and multi-directional angle stimulation of birds, it is difficult for birds to get used to the noise, and over time it can also drive away birds, and the effect of stubbornly treating bird damage is better.

[0025] 2、The present application adopts, through the noise generator, to play high-decibel noise in a loop, and the high-decibel noise mainly includes explosion sound, train whistle or car whistle noise, plays sharp and piercing noise, plays sudden sound after a period of time, such as gunshots and explosions, and plays low-frequency vibration noise after a period of time, such as low-frequency vibration of buildings and low-frequency noise caused by strong wind. It can simulate different sound stimuli for birds, continuously replace different noise stimuli for different birds, and the effect of driving stubborn birds is better.

[0026] 3、The present application adopts, through the camera, to collect video whether the birds fly away from the distribution network overhead line in the noise environment, collect bird flight time data, and the camera can also collect whether the same kind of birds returns to the distribution network overhead line. The bird return time data to the distribution network overhead line is collected, and all data is collected into the treatment database. The treatment database is uploaded and stored through the cloud storage, which can continuously update the noise data for driving away birds, accurately emit the sound that the birds are most afraid of, accurately drive, and accurately treat bird damage.

[0027] In summary, through the mutual influence of the above multiple effects, first, the noise wave peak maximum value is expanded according to the noise data, which can automatically filter and remove noise according to bird noise, and the noise is generated according to the maximum value of the wave crest. Then simulate different sound stimuli for birds, and finally collect bird flight time data through the camera. The camera can also collect whether the same kind of birds returns to the distribution network overhead line, and continuously update the treatment database. In summary, it can continuously drive away birds, and it is difficult for birds to get used to the noise. The effect of treating bird damage is better. BRIEF DESCRIPTION OF DRAWINGS

[0028] Figure 1 It is a distribution network overhead line stubborn bird damage treatment method operation schematic diagram. DETAILED DESCRIPTION

[0029] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by a person of ordinary skill in the art without creative effort belong to the scope of protection of the present application.

[0030] As shown in a stubborn bird damage control method for a distribution network overhead line, Figure 1 The following three groups of embodiments are obtained.

[0031] Embodiment 1:

[0032] The stubborn bird damage control method for the distribution network overhead line comprises the following specific steps:

[0033] S1, a bird database group is established, and an infrared camera is used to collect the species name, taxonomic information, habits, distribution range, natural enemy and noise driving audio range of various birds. The taxonomic information includes the size, feather color, beak shape, foot shape, information of the Passeriformes, Falconiformes and Psittaciformes of the bird species, and the information is collected in the order from front to back. After the collected data is arranged and standardized, it is organized in the order of the first letter of the name. After the data is arranged, the arranged data is entered into the database one by one, and verified and corrected by three expert members. The established bird database is network-connected with a cloud database to form the bird database group.

[0034] S2, bird data is collected. Four cameras are fixed at the middle part of the distribution network overhead line. The cameras are arranged in a rectangular equidistant distribution, and are arranged at the positions of the four directions of the distribution network overhead line to ensure that the areas where the birds move can be shot. The angle and field of view of the camera are adjusted as needed to ensure that the bird activity area is covered. After the bird image data is collected from the four directions of the distribution network overhead line, the bird image data is uploaded within 3 seconds, and the network speed of the wireless network is 4 Mbps. The collected bird image data is uploaded to the recognition end through the wireless network.

[0035] S3, bird recognition, the bird image data of the recognition end is transmitted to the database group, and the data in the database group is compared with the bird image data. The comparison and matching are mainly based on the similarity between the calculation data. The calculation data needs to be calculated by double processors. The image comparison is mainly based on the cosine similarity in the similarity calculation method. Two groups of bird image data are copied for synchronous comparison each time, and the data of the bird is searched within 5 seconds.

[0036] S4, data processing and analysis, the search for each item of data of birds is analyzed and processed, and the processed data is displayed on the display screen, the size of the display screen is set to 27 inches, and the number of display screens is set to two, and the special noise frequency peak that the bird is afraid of is automatically matched according to the bird data;

[0037] S5, fixed-point angle special noise driving, four noise generators are fixed at four direction positions of the distribution network overhead line, and the noise generator is positioned and placed at a horizontal angle with the distribution network overhead line, the noise generator takes the continuous sound signal as the input collected data, removes the noise or unnecessary fluctuation in the signal, applies the smoothing filter technology, the smoothing filter technology mainly includes moving average filter, median filter, weighted average filter and Gaussian filter, the Gaussian filter mainly uses Gaussian function as the attenuation function, reduces the high frequency component and maintains the smoothness of the noise, to obtain a more stable signal, finds the maximum value point in the signal, and uses difference operation to determine the peak maximum value, and the peak maximum value is expanded according to the noise data, the special noise frequency peak generated is the maximum value, the special noise frequency directly impacts the birds to drive them, and the birds can be targeted to be treated;

[0038] S6, switching noise, after 5 minutes of special noise frequency, the noise generator plays high decibel noise in a loop, and the high decibel noise mainly includes explosion sound, train whistle or car whistle noise, the decibel value of the explosion sound, train whistle or car whistle is set to 130 decibels, and the sharp and piercing noise is played after 3 minutes, such as the noise generated by flame ejector and detonation device, and the sudden sound is played after 6 minutes, such as gunshots and explosions, and the low-frequency vibration noise is played after 5 minutes, such as low-frequency vibration of buildings and low-frequency noise caused by strong wind, and the various noises are switched at intervals;

[0039] S7, treatment data collection, the camera can collect the video whether the birds fly away from the distribution network overhead line under the noise environment, the bird flight time data is collected, the camera can also collect whether the same kind of birds returns to the distribution network overhead line, the bird return time data is collected, all the data is collected to generate treatment data package, the treatment data package is set to two, and the data of the two treatment data packages is connected through wireless network sharing;

[0040] S8, treatment database update, the treatment data package can be connected to the treatment database through the wireless network, and all the data is collected into the treatment database, and the treatment database is updated and integrated within 10 seconds, and the treatment database is upgraded and used within 10 seconds after the update;

[0041] S9, the governance achievement data storage, the governance database is stored through the cloud storage, the storage time is 5 minutes, meanwhile offline can utilize two U disks to carry out double backup storage, needs 2 staffs to supervise operation, after backup is completed, needs to upload backup video to carry out background audit, determines that the governance achievement data is all stored.

[0042] The test bird flight time, bird return time, bird stay time, and bird accident rate of the overhead line of distribution network are obtained by combining the above embodiment 1.

[0043] Embodiment 2:

[0044] A stubborn bird damage treatment method for overhead line of distribution network, comprising the following specific steps:

[0045] S1, establish a bird database group, collect the species name, taxonomy information, habits, distribution range, natural enemy and noise driving audio range of various birds by using an infrared camera, the taxonomy information includes the size, feather color, beak shape, foot shape, information of passeriformes, falconiformes and parrotiformes, and the information is collected in the order from front to back, the collected data is arranged and standardized, and the data is arranged according to the alphabetical order of the name, the arranged data is entered into the database one by one, and verified and corrected by 4 expert members, the established bird database is connected with the cloud database to form the bird database group;

[0046] S2, collect bird data, fix four cameras in the middle part of the overhead line of distribution network, the four cameras are arranged in a rectangular equidistant distribution, and are arranged at four direction positions of the overhead line of distribution network, so as to ensure that the bird activity area can be shot, the angle and field of view of the camera are adjusted according to the need, so as to ensure that the bird activity area is covered, after the bird image data is collected from the four directions of the overhead line of distribution network, the bird image data is uploaded within 8 seconds, and the network speed of the wireless network is 6 Mbps, the collected bird image data is uploaded to the recognition end through the wireless network;

[0047] S3, identify the bird, the bird image data of the recognition end is transmitted to the database group, the data in the database group is compared with the bird image data, the similarity between the calculation data is mainly used for comparison and matching, the calculation data needs to be calculated by double processors, the cosine similarity in the similarity calculation method is mainly used for image comparison, two groups of bird image data are copied for synchronous comparison during each comparison, and each item of data of the bird is searched within 8 seconds;

[0048] S4, data processing and analysis, the search for each item of data of birds is analyzed and processed, and the processed data is displayed on the display screen, the size of the display screen is set to 32 inches, and the number of display screens is set to two, and the special noise frequency peak that the bird is afraid of is automatically matched according to the bird data;

[0049] S5, fixed-point angle special noise driving, four noise generators are fixed at four direction positions of the distribution network overhead line, and the noise generator is positioned and placed at a horizontal angle with the distribution network overhead line, the noise generator takes the continuous sound signal as the input collected data, removes the noise or unnecessary fluctuation in the signal, applies the smoothing filter technology, the smoothing filter technology mainly includes moving average filter, median filter, weighted average filter and Gaussian filter, the Gaussian filter mainly uses Gaussian function as the attenuation function, reduces the high frequency component and maintains the smoothness of the noise, to obtain a more stable signal, finds the maximum value point in the signal, and uses difference operation to determine the peak maximum value, and the peak maximum value is expanded according to the noise data, the special noise frequency peak generated is the maximum value, the special noise frequency directly impacts the birds to drive them, and the birds can be targeted to be treated;

[0050] S6, switching noise, after 5 minutes of special noise frequency, the noise generator plays high decibel noise in a loop, and the high decibel noise mainly includes explosion sound, train whistle or car whistle noise, the decibel value of the explosion sound, train whistle or car whistle is set to 140 decibels, and the sharp and piercing noise is played after 3 minutes, such as the noise generated by flame ejector and detonation device, and the sudden sound is played after 6 minutes, such as gunshots and explosions, and the low-frequency vibration noise is played after 5 minutes, such as low-frequency vibration of buildings and low-frequency noise caused by strong wind, and the various noises are switched at intervals;

[0051] S7, treatment data collection, the camera can collect the video whether the birds fly away from the distribution network overhead line under the noise environment, the bird flight time data is collected, the camera can also collect whether the same kind of birds returns to the distribution network overhead line, the bird return time data is collected, all the data is collected to generate treatment data package, the treatment data package is set to two, and the data of the two treatment data packages is connected through wireless network sharing;

[0052] S8, treatment database update, the treatment data package can be connected to the treatment database through the wireless network, and all the data is collected into the treatment database, and the treatment database is updated and integrated within 10 seconds, and the treatment database is upgraded and used within 10 seconds after the update;

[0053] S9, the governance achievement data storage, the governance database is stored through the cloud storage, the storage time is 5 minutes, meanwhile offline can utilize two U disks to carry out double backup storage, needs 3 staffs to supervise operation, after backup is completed, needs to upload backup video to carry out background audit, determines that the governance achievement data is all stored.

[0054] The above embodiment 2 is summarized to obtain various data such as bird flight time, bird return time, bird stay time, and bird accident rate of the distribution network overhead line.

[0055] Embodiment 3:

[0056] A stubborn bird damage treatment method for a distribution network overhead line, comprising the following specific steps:

[0057] S1, establish a bird database group, collect various bird species names, taxonomic information, habits, distribution range, natural enemies and noise driving audio range by using infrared cameras, the taxonomic information includes bird species size, feather color, beak shape, foot shape, passerine, falcon and parrot information, and the information collection order is arranged from front to back, the collected data is arranged and standardized, and the data is arranged according to the name initial letter arrangement order, the arranged data is entered into the database one by one, verified and corrected by 5 expert members, the established bird database is connected with the cloud database, and the bird database group is made;

[0058] S2, collect bird data, fix four cameras in the middle part of the distribution network overhead line, the camera distribution mode is that the four cameras are arranged in rectangular equidistant distribution, and are distributed at four direction positions of the distribution network overhead line, so as to ensure that the bird activity area can be shot, the angle and field of view of the camera are adjusted according to the need, so as to ensure that the bird activity area is covered, after the bird image data is collected from the four directions of the distribution network overhead line, the bird image data uploading time is 10 seconds, and the network speed of the wireless network is 8 Mbps, the collected bird image data is uploaded to the identification end through the wireless network;

[0059] S3, identify birds, the bird image data of the identification end is transmitted to the database group, the data in the database group is compared with the bird image data, mainly according to the similarity between the calculation data to compare and match, the calculation data needs to be calculated by double processors, mainly using cosine similarity in the similarity calculation method to compare images, two groups of bird image data need to be copied to compare synchronously each time, and the data of the bird is searched within 10 seconds;

[0060] S4, data processing and analysis, the search for each item of data of birds is analyzed and processed, and the processed data is displayed on the display screen, the size of the display screen is set to 32 inches, and the number of display screens is set to two, and the special noise frequency peak that the bird is afraid of is automatically matched according to the bird data;

[0061] S5, fixed-point angle special noise driving, four noise generators are fixed at four direction positions of the distribution network overhead line, and the noise generator is positioned and placed at a horizontal angle with the distribution network overhead line, the noise generator takes the continuous sound signal as the input collected data, removes the noise or unnecessary fluctuation in the signal, applies the smoothing filter technology, the smoothing filter technology mainly includes moving average filter, median filter, weighted average filter and Gaussian filter, the Gaussian filter mainly uses Gaussian function as the attenuation function, reduces the high frequency component and maintains the smoothness of the noise, to obtain a more stable signal, finds the maximum value point in the signal, and uses difference operation to determine the peak maximum value, and the peak maximum value is expanded according to the noise data, the special noise frequency peak generated is the maximum value, the special noise frequency directly impacts the birds to drive them, and the birds can be targeted to be treated;

[0062] S6, switching noise, after 5 minutes of special noise frequency, the noise generator plays high decibel noise in a loop, and the high decibel noise mainly includes explosion sound, train whistle or car whistle noise, the decibel value of the explosion sound, train whistle or car whistle is set to 160 decibels, and the sharp and piercing noise is played after 3 minutes, such as the noise generated by flame ejector and detonation device, and the sudden sound is played after 6 minutes, such as gunshots and explosions, and the low-frequency vibration noise is played after 5 minutes, such as low-frequency vibration of buildings and low-frequency noise caused by strong wind, and the various noises are switched at intervals;

[0063] S7, treatment data collection, the camera can collect the video whether the birds fly away from the distribution network overhead line under the noise environment, the bird flight time data is collected, the camera can also collect whether the same kind of birds returns to the distribution network overhead line, the bird return time data to the distribution network overhead line is collected, all the data is collected to generate treatment data package, the treatment data package is set to two, and the data of the two treatment data packages is connected through wireless network sharing;

[0064] S8, treatment database update, the treatment data package can be connected to the treatment database through the wireless network, and all the data is collected into the treatment database, and the treatment database is updated and integrated within 20 seconds, and the treatment database is upgraded and used within 20 seconds after the update;

[0065] S9, the management achievement data storage, the management database is stored through the cloud storage, the storage time is 10 minutes, simultaneously offline can utilize two U disks and carry out double backup storage, and the storage needs 5 staffs to supervise operation, and after backup is completed, it is necessary to upload backup video and carry out background audit, determine that the management achievement data is all stored.

[0066] The above embodiment 3 is summarized to obtain the test bird flight time, bird return time, bird stay time, and bird accident rate of the distribution network overhead line.

[0067] Through the above three groups of examples, the bird flight time, bird return time, bird stay time, and bird accident rate of the distribution network overhead line are tested. In the testing process, the following table data is obtained by measurement optimization. The comparison data of each test parameter is as follows:

[0068]

[0069] It can be known from the above table that the bird flight time from the distribution network overhead line in example 3 is the fastest, the bird return time to the distribution network overhead line in example 3 is longer, the bird stay time on the distribution network overhead line in example 3 is smaller, and the bird accident rate of the distribution network overhead line in example 3 is lower. Therefore, the continuous bird driving time is effectively improved, the bird is difficult to get used to the noise, and the bird damage control effect is better.

[0070] The above only describes the preferred embodiments of the present application and is not used to limit the present application. Any modification, equivalent replacement, improvement, etc. within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A method for controlling persistent bird damage on overhead power distribution lines, characterized in that: The specific steps include: S1, establish a bird database group, collect the species name, taxonomic information, habits, distribution range, natural enemies and noise driving audio range of various birds using an infrared camera, organize the collected data according to the alphabetical order of the first letter of the name, and after data processing, the established bird database is connected with the cloud database to form a bird database group; S2, collect bird data, fix four cameras in the middle part of the distribution network overhead line to ensure that the bird activity area can be shot, adjust the angle and field of view of the camera as needed to ensure coverage of the bird activity area, and after collecting bird image data from four directions of the distribution network overhead line, the collected bird image data is uploaded to the recognition end through wireless network; S3, identify birds, deliver the bird image data of the recognition end to the database group, compare the data in the database group with the bird image data, use cosine similarity in similarity calculation method for image comparison, and search for each item of data of the bird within 5-10 seconds during each comparison; S4, data processing and analysis, analyze the searched bird data, and display the processed data on the display screen, and automatically match the special noise frequency peak that the bird is afraid of according to the bird data; S5, fixed-point and fixed-angle special noise driving, fix four noise generators at four positions of the distribution network overhead line, and position the noise generator horizontally with the distribution network overhead line, the noise generator takes the continuous sound signal as the input collected data, removes unnecessary fluctuations in the signal, applies smoothing filter technology to obtain a more stable signal, finds the maximum value point in the signal, and uses difference operation to determine the maximum value of the wave crest, and the maximum value of the wave crest is expanded according to the noise data, the generated special noise frequency wave peak is the maximum value, and the special noise frequency directly impacts the bird to drive it, which can target the bird; S6, switch the noise, after 5 minutes of special noise frequency, the noise generator plays high decibel noise in a loop, and the high decibel noise includes explosion sound, train whistle or car whistle noise, plays sharp and piercing noise after 3 minutes, the sharp and piercing noise is the noise generated by the flame jet and the detonation device, plays the sudden sound after 6 minutes, the sudden sound is gunshots and explosion sound, plays low-frequency vibration noise after 5 minutes, the low-frequency vibration noise is low-frequency vibration of buildings and low-frequency noise caused by strong wind, and the multiple noises are switched at intervals; S7, governance data collection, collect whether the birds fly away from the distribution network overhead line in the noise environment through the camera, collect the bird flight time data, and collect whether the same kind of birds return to the distribution network overhead line through the camera, collect the bird return time data to the distribution network overhead line, and generate a governance data packet after collecting all the data; S8, governance database update, governance data packet through wireless network connection to governance database, will be collected in the governance database, in 10-20 seconds integrated update governance database, and governance database in 10-20 seconds after the update is completed upgrade use; S9, governance results data storage, governance database through cloud storage upload storage, storage time is 5-10 minutes, while offline using two U disk for double backup storage, storage needs 2-5 staff supervision operation, backup after the completion of the video need to upload backup for background audit, determine the governance results data are stored.

2. The method for stubborn bird damage control of distribution network overhead line according to claim 1, characterized in that: The taxonomic information in S1 is divided into the size of bird species, feather color, beak shape, foot shape, information of passeriformes, accipitriformes, and psittaciformes, and the information collection order is arranged from front to back.

3. The method according to claim 1, characterized in that: The data in S1 needs to be entered into the database one by one, and verified and corrected by 3-5 expert members.

4. The method for stubborn bird damage control of distribution network overhead line according to claim 1, characterized in that: The camera distribution in S2 is four cameras arranged in a rectangular equidistant distribution, and distributed in four directions of the network overhead line.

5. The method for stubborn bird damage control of distribution network overhead line according to claim 1, characterized in that: The bird image data uploading time in S2 is 3-10 seconds, and the wireless network speed is 4-8 Mbps.

6. The method for stubborn bird damage control of distribution network overhead line according to claim 1, characterized in that: The comparison method in S3 is mainly based on the similarity of the calculation data to compare and match, and the calculation data needs to be calculated by double processors.

7. The method for stubborn bird damage control of distribution network overhead line according to claim 1, characterized in that: The display screen size in S4 is set to 27-32 inches, and the number of display screens is two.

8. The method for stubborn bird damage control of distribution network overhead line according to claim 1, characterized in that: The smoothing filter technology in S5 includes moving average filter, median filter, weighted average filter, and Gaussian filter, and the Gaussian filter uses Gaussian function as attenuation function to reduce high frequency component and keep noise smoothness.

9. The method for stubborn bird damage control of distribution network overhead line according to claim 1, characterized in that: The decibel value of explosion sound, train whistle or car whistle in S6 is set to 130-160 decibels.

10. The method for stubborn bird damage control of distribution network overhead line according to claim 1, characterized in that: The governance data packet in S7 is two, and the two governance data packet data is connected through wireless network sharing.

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