CN116569909A - Intelligent laser bird repelling method and device - Google Patents
Intelligent laser bird repelling method and device Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 45
- 230000001846 repelling effect Effects 0.000 title claims description 30
- 230000002940 repellent Effects 0.000 claims abstract description 25
- 239000005871 repellent Substances 0.000 claims abstract description 25
- 230000002068 genetic effect Effects 0.000 claims abstract description 10
- 230000003287 optical effect Effects 0.000 claims abstract description 8
- 238000012544 monitoring process Methods 0.000 claims description 14
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- 238000003384 imaging method Methods 0.000 description 2
- 239000013307 optical fiber Substances 0.000 description 2
- VHUUQVKOLVNVRT-UHFFFAOYSA-N Ammonium hydroxide Chemical compound [NH4+].[OH-] VHUUQVKOLVNVRT-UHFFFAOYSA-N 0.000 description 1
- 241001632052 Haloxylon ammodendron Species 0.000 description 1
- 241000238631 Hexapoda Species 0.000 description 1
- 206010063385 Intellectualisation Diseases 0.000 description 1
- 235000011114 ammonium hydroxide Nutrition 0.000 description 1
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- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01M—CATCHING, TRAPPING OR SCARING OF ANIMALS; APPARATUS FOR THE DESTRUCTION OF NOXIOUS ANIMALS OR NOXIOUS PLANTS
- A01M29/00—Scaring or repelling devices, e.g. bird-scaring apparatus
- A01M29/06—Scaring or repelling devices, e.g. bird-scaring apparatus using visual means, e.g. scarecrows, moving elements, specific shapes, patterns or the like
- A01M29/10—Scaring or repelling devices, e.g. bird-scaring apparatus using visual means, e.g. scarecrows, moving elements, specific shapes, patterns or the like using light sources, e.g. lasers or flashing lights
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S15/00—Systems using the reflection or reradiation of acoustic waves, e.g. sonar systems
- G01S15/02—Systems using the reflection or reradiation of acoustic waves, e.g. sonar systems using reflection of acoustic waves
- G01S15/50—Systems of measurement, based on relative movement of the target
- G01S15/58—Velocity or trajectory determination systems; Sense-of-movement determination systems
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/12—Computing arrangements based on biological models using genetic models
- G06N3/126—Evolutionary algorithms, e.g. genetic algorithms or genetic programming
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/10—Image acquisition
- G06V10/12—Details of acquisition arrangements; Constructional details thereof
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/10—Terrestrial scenes
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
- H04N7/181—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a plurality of remote sources
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Abstract
The application discloses an intelligent laser bird-driving method, which relates to the technical field of bird-driving and is used for solving the problem that the prior laser bird-driving mode in the prior art has higher requirement on capturing bird position information because of needing to complete bird-driving based on an integrated image acquisition optical device, and comprises the steps of acquiring a plurality of groups of display areas; comparing the multiple groups of display areas with the multiple groups of first images; judging bird information corresponding to the plurality of objects on the basis of a database; acquiring first position information through a plurality of groups of sound sensors arranged on one side of a plurality of groups of camera devices and acquiring first object sound information through the first object sound information; acquiring a first running track, acquiring through bird information and matching with a genetic algorithm, and re-recognizing and determining through a frame skipping frame-to-frame difference method by matching with a plurality of groups of images II; and sending the first position information and the first moving track to enable the laser bird repellent system to emit laser according to the first position information and the first moving track to perform bird repellent, so that real-time bird repellent based on image linkage is realized.
Description
Technical Field
The application relates to the technical field of laser bird repelling, in particular to an intelligent laser bird repelling method and device.
Background
Birds bring much trouble to modern production and living, for example, aircraft bird strike is an international problem that causes aviation flight safety; the field overhead transmission line and the tower often become sites where birds stay and inhabit, line tripping accidents can be caused by nesting behaviors of birds, faeces, activities of larger birds and the like, and huge economic losses are brought to normal operation of the power industry. Current bird repelling methods are classified into hearing such as gas cannons, bird-driving vehicles, firecracker projectile emitters, etc., vision such as scarecrow, color wind wheels, terrorist eyes, laser bird repelling, etc., smell such as bird repellents, ammonia water, pesticides, etc., trapping such as shotgun, bird sticking nets, etc., ecology such as mowing, insect killing, and bird detection radar systems for bird pre-warning and detection.
At present, the laser bird-scaring method is the most effective method, but the existing laser bird-scaring method generally adopts 532nm single-wavelength laser, has constant laser power, small beam diameter and incapability of automatic conversion, is applicable to a narrow bird range, has weak irritation, forms mechanical memory for birds for a long time, and has a reduced frightening effect.
Based on the problems of single laser bird repelling mode and poor long-time effect, a laser bird repelling mode based on image linkage is developed, and the laser bird repelling system has the advantages of obvious bird repelling effect, strong practicability and low resource and energy consumption, but the laser bird repelling system needs to integrate an optical device for image acquisition, is complex in structure and overlarge in energy consumption, so that a novel intelligent laser bird repelling method and device are needed, and can complete laser bird repelling by combining the traditional technical resources with the traditional monitoring system, and is simple in structure and energy-saving.
Disclosure of Invention
The application aims to provide a novel intelligent laser bird-driving method and device, and solve the problems that an existing laser bird-driving system in the prior art needs to integrate an optical device for image acquisition, is complex in structure and is overlarge in energy consumption.
In order to achieve the above purpose, the embodiment of the present application adopts the following technical scheme:
acquiring a plurality of groups of display areas, wherein the plurality of groups of display areas are acquired through a plurality of groups of imaging devices arranged at preset places, and the plurality of groups of display areas display images of the preset places at the first time; comparing the images displayed by the multiple groups of display areas with the multiple groups of images I, judging whether an object I with the contact ratio within a preset threshold range exists, if so, enabling the object I to meet a preset condition, wherein the multiple groups of images I are preset, the multiple groups of images I comprise images recorded by the multiple groups of camera devices at a second time, and the objects I displayed by the multiple groups of display areas comprise different angles and postures of the same object I; comparing the first object with the second object groups, judging whether at least one second object group with similarity within a preset threshold exists, and if yes, meeting a preset condition, wherein the second object groups are preset; acquiring bird information, wherein the bird information is preset information corresponding to a second object meeting preset conditions, and comprises information such as the type, the form, the flight state and the like corresponding to the second object; acquiring position information I, wherein the position information I is acquired through the sound information of the object I at the moment through a plurality of groups of sound sensors arranged on one side of a plurality of groups of camera devices; acquiring a first moving track, wherein the first moving track is acquired through a bird information matching genetic algorithm and is determined through frame skipping frame difference method matching with a plurality of groups of images II, the plurality of groups of images II comprise image information of at least one other time provided by a plurality of groups of display areas, and the plurality of groups of images II are image information containing an object I; and the first position information and the first moving track are sent to enable the laser bird repellent system to adjust the self posture to emit laser to repel birds in cooperation with the first position information and the first moving track.
According to the technical scheme, through the cooperation of the image containing the preset place, the acoustic sensor and the automatically rotatable laser bird-driving system, the prior art resources including the type, the form and the flying state of the bird information in the area are utilized to capture the movement track of the bird entering the preset place, and finally the laser bird-driving system can be used for driving birds, so that the requirement on a device for acquiring the first image is reduced, the intelligent bird driving can be completed through the cooperation of the camera device of the traditional monitoring system, and the intelligent bird-driving device is simple in structure and saves energy.
Further, in the embodiment of the present application, the camera device includes a plurality of groups of cameras, the plurality of groups of cameras are automatically rotated, the automatic rotation mode is a random mode, and the monitoring ranges of the cameras have overlapping areas.
Further, in an embodiment of the present application, the random mode includes a face upward mode, a face downward mode, and a face downward mode.
Further, in an embodiment of the application, the acoustic sensor comprises a fiber optic acoustic sensor.
Further, in the embodiment of the application, the plurality of groups of acoustic sensors are arranged at each camera arrangement point to form an acoustic detection array, and each acoustic sensor is connected with a demodulation system through an optical cable.
Further, in the embodiment of the present application, the method for determining bird information includes: and judging whether the integrity of the first basic feature is within a preset threshold value, if so, searching whether the similarity of the second basic feature corresponding to the database is within the preset threshold value, and if so, determining that the birds corresponding to the second basic feature are birds corresponding to the snap-shot birds.
The embodiment of the application also discloses an intelligent bird repelling system, which comprises:
the first acquisition module is used for acquiring a plurality of groups of display areas, wherein the plurality of groups of display areas are acquired through a plurality of groups of camera devices arranged at preset places, and the plurality of groups of display areas display images of the preset places at the moment; the judging module is used for comparing a plurality of groups of display areas with a plurality of groups of first images, judging whether a plurality of first objects with the coincidence degree smaller than a preset threshold exist or not, wherein the first images are preset, the first images comprise images recorded by a plurality of groups of camera devices in other corresponding time periods, and the first objects in the display areas comprise different angles and postures of the same object; the comparison module is used for determining that a plurality of objects exist in a plurality of groups of display areas, and obtaining corresponding bird information based on comparison of the plurality of objects by a database, wherein the database contains information of local various types of birds, forms, flight states and the like in a preset place; the second acquisition module is used for acquiring first position information, wherein the first position information is acquired through the first object sound information at the moment through a plurality of groups of sound sensors arranged on one side of a plurality of groups of camera devices; the acquisition module III is used for acquiring a first moving track, wherein the first moving track is acquired through a bird information matching genetic algorithm and is determined through a frame skipping frame difference method in a matching manner with a plurality of groups of images II, the plurality of groups of images II comprise image information of at least one other time provided by a plurality of groups of display areas, and the plurality of groups of images II are image information containing an object I; the sending module is used for sending the first position information and the first running track and enabling the laser bird repellent system to adjust self-posture according to the first position information and the first running track to emit laser for bird repellent.
The embodiment of the application also discloses a processor for completing the intelligent laser bird repelling method.
The embodiment of the application also discloses a memory for storing the instructions and the information of the intelligent laser bird repelling method.
The embodiment of the application also discloses an intelligent laser bird repellent device, which comprises: the camera device comprises a plurality of groups of cameras, and the plurality of groups of cameras are arranged around a preset place; the plurality of groups of acoustic sensors are arranged at the arrangement points of each camera; the laser bird repelling system is used for rotating in place through the driving motor system and emitting laser to the position of the flying bird for repelling; a processor for performing an intelligent laser bird repellent method of claims 1-9.
Compared with the prior art, the application has the following technical effects:
the method has the advantages that the image information containing the preset places is acquired by adopting the camera device to judge the coming of the flying bird, the habit and the type of the flying bird are judged by matching with the existing technical resources, so that the position and the motion trail of the flying bird can be determined by only using the acoustic sensor and the genetic algorithm to match with the laser bird driving system to finish bird driving, the image information at other times can be acquired by a frame-skipping frame-to-frame difference method, or the flying state of the flying bird is determined by matching with at least three groups of other camera shooting image information, the acquisition and the information accuracy of the position and the motion trail of the flying bird are further ensured, the requirements of the position and the motion trail of the flying bird for image acquisition in the laser bird driving system are reduced, the structure is simple, the energy is saved, and the problems that the existing laser bird driving system in the prior art needs to integrate the optical device for image acquisition, and the structure is complex and the energy consumption is overlarge are solved.
Drawings
FIG. 1 is a schematic flow chart of an intelligent laser bird repelling method of the application.
Fig. 2 is a schematic structural diagram of the intelligent laser bird repellent device of the present application.
FIG. 3 is a schematic diagram of the intelligent laser bird repellent method of the present application.
Fig. 4 is a schematic view of a snapshot of the intelligent laser bird repelling method of the present application.
In the accompanying drawings
1. Camera 2, laser bird repellent system 3 and processor
4. Laser 5, optical fiber acoustic sensor
Detailed Description
In order to make the objects, technical solutions, and advantages of the present application more apparent, the embodiments of the present application will be further described in detail with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are some, but not all, embodiments of the present application, are intended to be illustrative only and not limiting of the embodiments of the present application, and that all other embodiments obtained by persons of ordinary skill in the art without making any inventive effort are within the scope of the present application.
In the description of the present application, it should be noted that the terms "center," "middle," "upper," "lower," "left," "right," "inner," "outer," "top," "bottom," "side," "vertical," "horizontal," and the like indicate orientations or positional relationships based on the orientation or positional relationships shown in the drawings, merely to facilitate description of the present application and simplify the description, and do not indicate or imply that the devices or elements referred to must have a specific orientation, be configured and operated in a specific orientation, and thus should not be construed as limiting the present application. Furthermore, the terms "a," an, "" the first, "" the second, "" the third, "" the fourth, "" the fifth, "and the sixth" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In the description of the present application, it should be noted that, unless explicitly specified and limited otherwise, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be either fixedly connected, detachably connected, or integrally connected, for example; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the above terms in the present application will be understood in specific cases by those of ordinary skill in the art.
For purposes of brevity and description, the principles of the embodiments are described primarily by reference to examples. In the following description, numerous specific details are set forth in order to provide a thorough understanding of the embodiments. It will be apparent, however, to one of ordinary skill in the art that the embodiments may be practiced without limitation to these specific details. In some instances, well-known methods and structures have not been described in detail so as not to unnecessarily obscure the embodiments. In addition, all embodiments may be used in combination with each other.
Embodiment one:
as shown in fig. 1, 2 and 3, in this embodiment, the above manner of achieving intelligent bird repelling includes the following steps:
acquiring a plurality of groups of display areas, wherein the plurality of groups of display areas are acquired through a plurality of groups of imaging devices arranged at preset places, and the plurality of groups of display areas display images of the preset places at the first time; comparing the images displayed by the multiple groups of display areas with the multiple groups of images I, judging whether an object I with the contact ratio within a preset threshold range exists, if so, enabling the object I to meet a preset condition, wherein the multiple groups of images I are preset, the multiple groups of images I comprise images recorded by the multiple groups of camera devices at a second time, and the objects I displayed by the multiple groups of display areas comprise different angles and postures of the same object I; comparing the first object with the second object groups, judging whether at least one second object group with similarity within a preset threshold exists, and if yes, meeting a preset condition, wherein the second object groups are preset; acquiring bird information, wherein the bird information is preset information corresponding to a second object meeting preset conditions, and comprises information such as the type, the form, the flight state and the like corresponding to the second object; acquiring position information I, wherein the position information I is acquired through the sound information of the object I at the moment through a plurality of groups of sound sensors arranged on one side of a plurality of groups of camera devices; acquiring a first moving track, wherein the first moving track is acquired through a bird information matching genetic algorithm and is determined through frame skipping frame difference method matching with a plurality of groups of images II, the plurality of groups of images II comprise image information of at least one other time provided by a plurality of groups of display areas, and the plurality of groups of images II are image information containing an object I; and the first position information and the first moving track are sent to enable the laser bird repellent system to adjust the self posture according to the first position information and the first moving track to emit laser 4 for bird repellent.
According to the technical scheme, through the cooperation of the image containing the preset place, the acoustic sensor and the automatically rotatable laser bird-driving system, the prior art resource comprising the bird information of the place can be utilized to capture the movement track of the bird entering the preset place, and finally the laser bird-driving system can be enabled to drive birds, so that the requirement on a device for acquiring the first image is reduced, intelligent bird driving can be completed through the cooperation of the camera device of the traditional monitoring system, and the intelligent bird-driving device is simple in structure and saves energy.
Specifically, the camera device comprises a plurality of groups of cameras 1, the plurality of groups of cameras 1 are automatically rotated and arranged, the automatic rotation mode is a random mode, the monitoring range of the cameras 1 has an overlapping area, the condition that one camera 1 captures a picture containing a bird is guaranteed, at least two groups of cameras 1 can capture the picture containing the same bird at the same time, and the calculation of the position of the bird is completed in a matching mode.
Specifically, the random mode includes a face upward shooting mode, a flat shooting mode and a nodding shooting mode, so that a monitoring range is further ensured, and images with at least three postures can be captured when a bird attack occurs.
Specifically, the acoustic sensor includes a fiber optic acoustic sensor 5, which uses its excellent properties to enhance its adaptability to the environment.
Specifically, the acoustic sensors are arranged at the arrangement points of each camera 1 to form an acoustic detection array, and each acoustic sensor is connected with a demodulation system through an optical cable, so that the whole monitoring range can be monitored without dead angles.
Specifically, the identification of the bird information is accomplished by a database storing information of various types of birds living locally, their forms, flight states, and the like.
Specifically, the first motion trail is obtained through the bird information, and the first motion trail is obtained based on the bird information and a genetic algorithm.
Specifically, the other image information provided by the image capturing device includes at least one image information of other time provided by the image capturing device, and the image information is used for obtaining a motion trail by matching with a frame skip frame difference method.
Specifically, the other image information provided by the image capturing device includes at least three sets of other image information captured by the other cameras 1 provided by the image capturing device, and the image information is used for judging the spatial position of the flying bird, and the flying state of the flying bird of the haloxylon ammodendron is judged through the spatial position to obtain a first motion track.
According to utilizing traditional video to monitor and use camera 1 to lay in the control place at no dead angle, the mode of laying of camera 1 characteristics are that there is the overlap area in the monitoring scope of adjacent camera 1, and according to the activity height of flying bird, adopts respectively and just claps, claps and dive the mode of controlling of alternately's camera 1 in proper order. When the flying bird attacks through the monitoring area, the cameras 1 capture images, the monitoring system 3 judges the position and the movement track of the flying bird by utilizing a multi-interval interframe difference method for capturing video images and combining a genetic algorithm, and at least 3 cameras 1 can capture images at the same time to judge the space position and the movement track of the flying bird; the optical fiber acoustic sensor 5 arranged at the arrangement point of each camera 1 can also be used for detecting the bird's voice to form 3-dimensional voice detection information so as to judge the space position and the running track of the bird, the laser 4 emitting instruction is sent to the laser driving system 2 capable of automatically rotating, the laser 4 driving system 2 automatically rotates to the position of the bird, and the laser 4 emitting system is just opposite to the bird emitting laser 4 for driving. Thus, the whole process of driving birds by the laser 4 is completed. The laser 4 emitted by the laser 4 bird-driving system 2 has multiple modes, and the laser 4 with different powers and different colors can be selected according to the types of the flying birds for driving, so that the intelligent bird-driving system has the characteristic of intellectualization. The problems of single existing laser bird-driving mode and poor long-time effect are solved, and the disadvantages of complex structure and high cost of the laser bird-driving device with video linkage are solved. The device perfectly combines the traditional video monitoring technology, the sound detection technology and the laser bird repelling technology, effectively integrates the existing technical resources, and has the advantages of simple structure, low cost and energy conservation.
The method has the advantages that the image information containing the preset places is acquired by adopting the camera device to judge the coming of the flying bird, the habit and the type of the flying bird are judged by matching with the existing technical resources, so that the position and the motion trail of the flying bird can be determined by only using the acoustic sensor and the genetic algorithm to match with the laser 4 bird driving system 2 to finish bird driving, the image information of other time can be acquired by a frame skipping frame-to-frame difference method, or the flying state of the flying bird is determined by matching with at least three groups of other cameras 1 to capture the image information, the acquisition and the information accuracy of the position and the motion trail of the flying bird are further ensured, the requirements of the position and the motion trail of the flying bird acquired in the laser 4 bird driving on image acquisition are reduced, the laser bird driving system is completed by matching with the existing technical resources by matching with the traditional monitoring system, the structure is simple, the energy is saved, and the problems that the existing laser bird driving system in the prior art needs to integrate the optical device for image acquisition, the structure is complex, and the energy consumption is excessive are solved.
Embodiment two:
as shown in fig. 3, to further ensure accuracy of the obtained bird kind information, and prevent misjudgment of the flight trajectory of the affected bird after the bird attack is determined, a bird identification method may be further provided, including the steps of:
acquiring a collected image set I of the flying bird, wherein the image set I comprises a face-up image, a face-down image and a face-down image which are obtained by capturing through random modes from all cameras, so that the image information of the image set I contains a plurality of postures of the flying bird;
processing a first bird basic feature contained in the first image set to obtain a second image set containing the first basic feature, wherein the first basic feature comprises a head feature, a tail feature and a leg feature of the bird;
and matching the attitude information and the basic characteristic information of the flying birds obtained by the first image set and the second image set with birds in the region stored in the database to obtain the types of the birds.
Specifically, the database further comprises a history snapshot object of the preset place, after the step of determining the bird information of the affected bird, matching is carried out once again, whether the snapshot object is a history special snapshot object or not is determined, if yes, information containing laser 4 emitting laser color different from that used in the last history snapshot is sent, and the problem that birds cannot be driven due to the adoption of the laser is prevented.
The head features, tail features and leg features of a plurality of groups of affected birds acquired through a random mode are compared with the database based on the database containing birds in the region, and as the reference features are more, the accuracy of identification or re-identification is greatly improved, misjudgment on the flight track of the affected birds is reduced, and the camera device comprising a traditional monitoring system can be matched with a processor to complete locking on the flight track of the affected birds so as to match with a laser bird driving device to complete bird driving work, complete laser bird driving by utilizing the existing resources, reduce the requirement on image linkage and save energy sources with simple structure.
Embodiment III:
as shown in fig. 1, to ensure that the expulsion of the bird can be accomplished, the completion of the intelligent laser bird expulsion method should include the following means:
the camera device comprises a plurality of groups of cameras 1, and the plurality of groups of cameras 1 are arranged around a preset place; a plurality of groups of acoustic sensors are arranged at the arrangement points of each camera 1; the laser 4 drives the bird system 2, the laser 4 drives the bird system 2 to rotate in place through the driving motor system, and the laser 4 is emitted to the position of the flying bird for driving; a processor 3 for performing an intelligent laser bird repellent method according to claims 1-9.
Specifically, the laser bird repellent system 2 is used for determining the position of the bird and the corresponding motion track according to the transferred bird information, driving the motor system to rotate in place, and emitting laser 4 to the position of the bird for repelling.
Specifically, the rotation angle of the laser bird repellent system 2 in the x and y coordinate directions reaches-30 degrees to 210 degrees.
Specifically, the laser 4 emitted by the laser bird repellent system 2 has multiple modes, and the laser 4 with different powers and different colors can be selected according to the types of the birds to be driven, so that the adaptability of the affected birds to the laser 4 is reduced.
While the foregoing describes illustrative embodiments of the present application so that those skilled in the art may understand the present application, the present application is not limited to the specific embodiments, and all applications and creations utilizing the inventive concepts are within the scope of the present application as long as the modifications are within the spirit and scope of the present application as defined and defined in the appended claims to those skilled in the art.
Claims (10)
1. An intelligent laser bird repelling method is characterized by comprising the following steps:
acquiring a plurality of groups of display areas, wherein the plurality of groups of display areas are acquired through a plurality of groups of camera devices arranged at preset places, and the plurality of groups of display areas display images of the preset places at first time;
comparing the images displayed by the multiple groups of display areas with multiple groups of images I, judging whether an object I with the contact ratio within a preset threshold range exists, if yes, enabling the object I to meet the preset condition, wherein the multiple groups of images I are preset, the multiple groups of images I comprise images recorded by the multiple groups of camera devices at a second time, and the object I displayed by the multiple groups of display areas comprises different angles and postures of the same object I;
comparing the first object with a plurality of groups of second objects, judging whether at least one group of second objects with similarity within a preset threshold exists, and if yes, meeting the preset condition, wherein the plurality of groups of second objects are preset;
acquiring bird information, wherein the bird information is preset information corresponding to the second object meeting the preset condition, and comprises information such as the type, the form, the flight state and the like corresponding to the second object;
acquiring position information I, wherein the position information I is acquired through the sound information of the object I at the moment through a plurality of groups of sound sensors arranged on one side of the plurality of groups of camera devices;
acquiring a first running track, wherein the first running track is obtained through a bird information matching genetic algorithm and is determined through frame skipping frame difference method reconstruction through matching with a plurality of groups of images II, the plurality of groups of images II comprise image information of at least one other time provided by the plurality of groups of display areas, and the plurality of groups of images II are image information containing the first object;
and sending the position information I and the moving track I, wherein the laser bird-scaring system is used for adjusting self-posture emission laser to drive birds according to the position information I and the moving track I.
2. The intelligent laser bird driving method according to claim 1, wherein the camera device comprises a plurality of groups of cameras, the cameras are automatically rotated, the automatic rotation mode is a random mode, and overlapping areas exist in monitoring ranges of the cameras.
3. An intelligent laser bird repellent method according to claim 2, wherein the random pattern includes a face up pattern, a face down pattern, and a face down pattern.
4. An intelligent laser bird repellent method according to claim 1, wherein the acoustic sensor comprises a fiber optic acoustic sensor.
5. An intelligent laser bird repellent method according to claim 1, wherein said plurality of acoustic sensors are arranged in groups at each of said camera arrangement points to form an acoustic detection array, each acoustic sensor being connected to a demodulation system by an optical cable.
6. The intelligent laser bird repelling method according to claim 1, wherein the method for judging bird information comprises the following steps: and judging whether the integrity of the first basic feature is within a preset threshold value, if so, searching whether the similarity of the second basic feature corresponding to the database is within the preset threshold value, and if so, determining that the birds corresponding to the second basic feature are birds corresponding to the snap-shot birds.
7. An intelligent bird repellent system comprising:
the first acquisition module is used for acquiring a plurality of groups of display areas, wherein the plurality of groups of display areas are acquired through a plurality of groups of camera devices arranged at preset places, and the plurality of groups of display areas display images of the preset places at the first time;
the contrast module I is used for comparing the images displayed by the multiple groups of display areas with the multiple groups of images I, judging whether an object I with the contact ratio within a preset threshold range exists or not, if yes, the object I meets the preset condition, the multiple groups of images I are preset, the multiple groups of images I comprise images recorded by the multiple groups of camera devices at a second time, and the object I displayed by the multiple groups of display areas comprises different angles and postures of the same object I;
the comparison module II is used for comparing the first object with a plurality of groups of second objects, judging whether at least one group of second objects with similarity within a preset threshold exists, and if yes, meeting the preset condition, wherein the plurality of groups of second objects are preset;
the second acquisition module is used for acquiring bird information, wherein the bird information is preset information corresponding to the second object meeting the preset condition, and comprises information such as the type, the form, the flight state and the like corresponding to the second object;
an acquisition module III for acquiring position information I, wherein the position information I is acquired through the sound information of the object I at the moment through a plurality of groups of sound sensors arranged on one side of the plurality of groups of camera devices;
the acquisition module IV is used for acquiring a first running track, wherein the first running track is obtained by matching the bird information with a genetic algorithm and is re-identified and determined by matching a plurality of groups of images II through a frame skipping frame difference method, the plurality of groups of images II comprise image information of at least one other time provided by the plurality of groups of display areas, and the plurality of groups of images II are image information containing the first object;
the sending module is used for sending the first position information and the first moving track and enabling the laser bird-scaring system to adjust self-posture emission laser to drive birds in cooperation with the first position information and the first moving track.
8. A processor for performing an intelligent laser bird repelling method as defined in claims 1-6.
9. A memory for storing instructions and information of an intelligent laser bird repelling method according to claims 1-6.
10. An intelligent laser bird repellent device for performing the intelligent laser bird repellent method of claims 1-9, comprising:
the camera device comprises a plurality of groups of cameras, and the plurality of groups of cameras are arranged around a preset place;
a plurality of groups of acoustic sensors, wherein the acoustic sensors are arranged at the arrangement points of each camera;
the laser bird repelling system is used for rotating in place through the driving motor system, emitting laser to the position of the flying bird for repelling, and the rotating angle of the laser bird repelling system in the x and y coordinate directions reaches-30 degrees to 210 degrees;
a processor for performing an intelligent laser bird repellent method according to claims 1-6.
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Citations (23)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20050075875A (en) * | 2004-01-16 | 2005-07-25 | 유현중 | Apparatus and method for repelling birds |
| CN102150653A (en) * | 2011-03-11 | 2011-08-17 | 湖南继善高科技有限公司 | Movable airfield avian detection and directional anti-bird device |
| CN102524237A (en) * | 2012-01-11 | 2012-07-04 | 桂林电子科技大学 | Bird-dispersing system and method for monitoring bird situations of airports |
| CN102860300A (en) * | 2012-09-20 | 2013-01-09 | 西南科技大学 | Automatic aiming laser bird scaring device and bird scaring method based on mode recognition |
| CN103053508A (en) * | 2013-01-16 | 2013-04-24 | 嘉兴电力局 | Intelligent laser bird-repelling system for substations |
| CN103530620A (en) * | 2013-10-30 | 2014-01-22 | 华北电力大学 | Method for identifying bird nest on electric transmission line tower |
| CN103533302A (en) * | 2013-09-30 | 2014-01-22 | 湖北三江航天红林探控有限公司 | Binocular multi-track intelligent laser bird-scaring equipment |
| US20140144390A1 (en) * | 2012-11-27 | 2014-05-29 | Elwha Llc | Methods and systems for directing birds away from equipment |
| CN104872108A (en) * | 2015-05-05 | 2015-09-02 | 叶志刚 | Electronic drive mosquito-killer |
| CN105184824A (en) * | 2015-09-30 | 2015-12-23 | 重庆师范大学 | Intelligent agricultural bird repelling system and method based on image sensing network |
| CN106538507A (en) * | 2016-12-08 | 2017-03-29 | 怀宁县鑫龙生态渔业有限公司 | A kind of supersonic wave bird driving device |
| CN108077236A (en) * | 2017-12-16 | 2018-05-29 | 佛山市神风航空科技有限公司 | A kind of expulsion type emulates mechanical bird |
| CN208241405U (en) * | 2017-05-23 | 2018-12-14 | 国网山东省电力公司威海供电公司 | Transmission line of electricity image monitoring and scarecrow device |
| CN109799760A (en) * | 2019-01-30 | 2019-05-24 | 华通科技有限公司 | The bird-repellent robots control system and control method of power industry |
| CN110122456A (en) * | 2019-05-07 | 2019-08-16 | 是达明 | Intelligent mosquito dispelling detection system and detection method |
| CN111670895A (en) * | 2020-07-01 | 2020-09-18 | 北京无线电测量研究所 | Airport bird condition prevention device and airport bird condition prevention equipment |
| CN111709372A (en) * | 2020-06-18 | 2020-09-25 | 深圳市赛为智能股份有限公司 | Bird repelling method and device, computer equipment and storage medium |
| CN213813954U (en) * | 2020-12-17 | 2021-07-27 | 南京林业大学 | Unmanned aerial vehicle machine carries laser radar device suitable for forest three-dimensional structure is measured |
| CN215012980U (en) * | 2021-03-23 | 2021-12-07 | 陕西艾利克斯光电科技有限公司 | Acousto-optic bird repelling equipment integrating observation and driving |
| CN215602854U (en) * | 2021-07-26 | 2022-01-25 | 国网河南省电力公司电力科学研究院 | Autonomous recognition bird repelling device |
| CN114375941A (en) * | 2021-12-27 | 2022-04-22 | 国网山东省电力公司无棣县供电公司 | Comprehensive bird repeller for power transmission line |
| CN114839629A (en) * | 2022-04-24 | 2022-08-02 | 湖南傲英创视信息科技有限公司 | Bird condition detection system with sensor fusion |
| CN114885934A (en) * | 2022-04-06 | 2022-08-12 | 江门职业技术学院 | Playing method and device of animal driving audio, driving system and storage medium |
-
2022
- 2022-12-30 CN CN202211728606.8A patent/CN116569909A/en active Pending
Patent Citations (23)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20050075875A (en) * | 2004-01-16 | 2005-07-25 | 유현중 | Apparatus and method for repelling birds |
| CN102150653A (en) * | 2011-03-11 | 2011-08-17 | 湖南继善高科技有限公司 | Movable airfield avian detection and directional anti-bird device |
| CN102524237A (en) * | 2012-01-11 | 2012-07-04 | 桂林电子科技大学 | Bird-dispersing system and method for monitoring bird situations of airports |
| CN102860300A (en) * | 2012-09-20 | 2013-01-09 | 西南科技大学 | Automatic aiming laser bird scaring device and bird scaring method based on mode recognition |
| US20140144390A1 (en) * | 2012-11-27 | 2014-05-29 | Elwha Llc | Methods and systems for directing birds away from equipment |
| CN103053508A (en) * | 2013-01-16 | 2013-04-24 | 嘉兴电力局 | Intelligent laser bird-repelling system for substations |
| CN103533302A (en) * | 2013-09-30 | 2014-01-22 | 湖北三江航天红林探控有限公司 | Binocular multi-track intelligent laser bird-scaring equipment |
| CN103530620A (en) * | 2013-10-30 | 2014-01-22 | 华北电力大学 | Method for identifying bird nest on electric transmission line tower |
| CN104872108A (en) * | 2015-05-05 | 2015-09-02 | 叶志刚 | Electronic drive mosquito-killer |
| CN105184824A (en) * | 2015-09-30 | 2015-12-23 | 重庆师范大学 | Intelligent agricultural bird repelling system and method based on image sensing network |
| CN106538507A (en) * | 2016-12-08 | 2017-03-29 | 怀宁县鑫龙生态渔业有限公司 | A kind of supersonic wave bird driving device |
| CN208241405U (en) * | 2017-05-23 | 2018-12-14 | 国网山东省电力公司威海供电公司 | Transmission line of electricity image monitoring and scarecrow device |
| CN108077236A (en) * | 2017-12-16 | 2018-05-29 | 佛山市神风航空科技有限公司 | A kind of expulsion type emulates mechanical bird |
| CN109799760A (en) * | 2019-01-30 | 2019-05-24 | 华通科技有限公司 | The bird-repellent robots control system and control method of power industry |
| CN110122456A (en) * | 2019-05-07 | 2019-08-16 | 是达明 | Intelligent mosquito dispelling detection system and detection method |
| CN111709372A (en) * | 2020-06-18 | 2020-09-25 | 深圳市赛为智能股份有限公司 | Bird repelling method and device, computer equipment and storage medium |
| CN111670895A (en) * | 2020-07-01 | 2020-09-18 | 北京无线电测量研究所 | Airport bird condition prevention device and airport bird condition prevention equipment |
| CN213813954U (en) * | 2020-12-17 | 2021-07-27 | 南京林业大学 | Unmanned aerial vehicle machine carries laser radar device suitable for forest three-dimensional structure is measured |
| CN215012980U (en) * | 2021-03-23 | 2021-12-07 | 陕西艾利克斯光电科技有限公司 | Acousto-optic bird repelling equipment integrating observation and driving |
| CN215602854U (en) * | 2021-07-26 | 2022-01-25 | 国网河南省电力公司电力科学研究院 | Autonomous recognition bird repelling device |
| CN114375941A (en) * | 2021-12-27 | 2022-04-22 | 国网山东省电力公司无棣县供电公司 | Comprehensive bird repeller for power transmission line |
| CN114885934A (en) * | 2022-04-06 | 2022-08-12 | 江门职业技术学院 | Playing method and device of animal driving audio, driving system and storage medium |
| CN114839629A (en) * | 2022-04-24 | 2022-08-02 | 湖南傲英创视信息科技有限公司 | Bird condition detection system with sensor fusion |
Non-Patent Citations (2)
| Title |
|---|
| 郑州铁路局: "《双一流高校建设十四五规划系列教材 大数据背景下的环境经济与管理学》", vol. 1, 31 July 2022, 中国铁道出版社 , pages: 180 * |
| 郑州铁路局: "《高速铁路接触网检修作业指导》", vol. 1, 中国铁道出版社 , pages: 112 * |
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