CN202958578U - Bird situation monitoring and bird repelling system for airport - Google Patents

Bird situation monitoring and bird repelling system for airport Download PDF

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Publication number
CN202958578U
CN202958578U CN 201220010799 CN201220010799U CN202958578U CN 202958578 U CN202958578 U CN 202958578U CN 201220010799 CN201220010799 CN 201220010799 CN 201220010799 U CN201220010799 U CN 201220010799U CN 202958578 U CN202958578 U CN 202958578U
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bird
birds
chirping
communication unit
unit
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李晓欢
李灵巧
叶金才
叶进
邓洪高
陈倩
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Guilin University of Electronic Technology
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Guilin University of Electronic Technology
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Abstract

The utility model discloses a bird situation monitoring and bird repelling system for an airport, which comprises the following components: a remote bird situation monitoring device, a bird repelling terminal and a desktop monitoring center; wherein the output end of the remote bird situation monitoring device is connected with input end of the desktop monitoring center. The output end of the desktop monitoring center is connected with the bird repelling terminal. The bird situation next to an airplane parking area of the airport is monitored in real time through the remote bird situation monitoring device. The desktop monitoring center performs data processing and transmits a bird repelling signal to the bird repelling terminal according to current bird target situation for realizing active bird repelling. The bird situation data can be recorded and counted, thereby facilitating analysis and prediction to the bird situation environment at the periphery of the airport.

Description

A kind of airport bird feelings monitoring bird-repeller system
Technical field
The utility model relates to animal scaring method and device, is specifically related to a kind of airport bird feelings monitoring bird-repeller system.
Background technology
Aviation safety is the focus of whole Civil Aviation Industry and public attention.The event that bird strike aircraft (be called for short " bird is hit ") refers in airborne vehicle landing or flight course and the flying object such as birds bumps against, since there being airborne vehicle just to have bird to hit event, bird is hit problem and causes huge economic loss to aircraft industry, the life security that also jeopardizes the passenger simultaneously.Find after deliberation, bird is hit major part and occurs in and take off and the landing stage, and the probability that occurs reduces with the rising of height, distribution gradient.Yet, expansion due to the mankind's activity scope, the natural environment of make suitable birdife, perch, multiplying significantly reduces, the ideal place that the airport just becomes birdife, perches, multiplies, and the probability that these combined factors effects make the bird event of hitting occur is more and more higher.Present whole aeronautical chart does not also find a kind of way of putting things right once and for all.Now widely used is bionics method, namely utilize tweeting sound, squel, the comprehensive explosion sound of birds natural enemy, and the equipment such as model of bird natural enemy are driven away flying bird, but such mode is the fixing passive bird mode of driving, do not possess the ability of driveing in the autotelic enforcement of the situation of airport activity according to birds, existence wastes time and energy, easily false-alarm and the alert drawback of mistake and service time long after birds easily produce habitual reflection, thereby scarecrow device was lost efficacy.
The utility model content
Technical problem to be solved in the utility model is to provide a kind of airport bird feelings monitoring bird-repeller system, and it links after can the moving-target Detection and Extraction with chirping of birds auditory localization and bird motion process and processes the purpose that realizes the identification of bird feelings and initiatively drive bird.
For addressing the above problem, the utility model is realized by following scheme:
A kind of airport of the utility model bird feelings monitoring bird-repeller system comprises long-range bird feelings supervising device, drives bird terminal and desktop management and control center; The output of its medium-long range bird feelings supervising device connects the input at desktop management and control center, the output at desktop management and control center with drive the bird terminal and be connected;
Described long-range bird feelings supervising device comprises chirping of birds sound source positioning unit and bird moving object detection unit; Wherein chirping of birds sound source positioning unit mainly is comprised of a plurality of non-directional microphones, a plurality of A/D converter, chirping of birds data operation unit and chirping of birds communication unit; Bird moving object detection unit mainly is comprised of a plurality of digital cameras, bird exercise data arithmetic element and bird moving communication unit;
Above-mentioned non-directional microphone and digital camera are distributed in airfield runway guarded region on every side according to fixing distribution distance, be that airfield runway guarded region on every side is split into a plurality of workspaces, respectively be installed with 1 non-directional microphone and at least 1 digital camera in each workspace; Each non-directional microphone respectively is connected with chirping of birds data operation unit by A/D converter; Chirping of birds data operation unit connects the input at desktop management and control center through the chirping of birds communication unit; Each digital camera all is connected with bird exercise data arithmetic element, and bird exercise data arithmetic element is through the input at connection desktop management and control center, bird moving communication unit;
The described bird terminal of driving comprises a plurality of bird-scaring units, a plurality of bird controller and a plurality of wireless communication unit of driving;
Be equipped with 1 bird-scaring unit, 1 in each workspace in guarded region around airfield runway and drive bird controller and 1 wireless communication unit; The output at desktop management and control center is connected respectively at a plurality of bird controllers that drive by wireless communication unit, and each drives the bird controller output end and respectively connects a bird-scaring unit.
In said system, described chirping of birds communication unit is the RS485 communication unit, and bird moving communication unit is RJ-45 ethernet communication unit.
Compared with prior art, the utlity model has following feature:
(1) change now widely used fixed mode passive method of driving bird, as tweeting sound, squel, the comprehensive explosion sound of fixed time airplay birds natural enemy, and the equipment such as model of fixed point installation bird natural enemy drive bird.Traditional method does not possess the ability of driveing in the autotelic enforcement of the situation of airport activity according to birds, exist waste time and energy, easily false-alarm and the alert drawback of mistake and service time long after birds easily produce habitual reflection, thereby scarecrow device was lost efficacy.At first the method that the utility model uses carries out Real-Time Monitoring by monitoring device to the bird feelings, then carry out data and process, send according to current bird target conditions and drive the bird signal, realize initiatively driving bird, and can record and add up bird feelings data, be convenient to the analysis and prediction to airport periphery bird feelings environment;
(2) compare with the bird target radar monitoring mode that external scientific research institution proposes, the feature that auditory localization technology and moving object detection and birds are piped of the utility model novelty, motion feature combine, and can overcome radar system the existing operation in airport is produced the easily shortcoming of " false dismissal " of strong electromagnetic and little target;
(3) wireless sensor network technology and data fusion are incorporated in system, for duty personnel and dicision-making group provide more intuitively information accurately, the generation of effectively preventing accident.
Description of drawings
Fig. 1 is the utility model a kind of airport bird feelings monitoring bird-repeller system theory diagram;
Fig. 2 is the bird-repeller system layout;
Fig. 3 is the space geometry relation of non-directional microphone and target;
Fig. 4 is chirping of birds target detection step;
Fig. 5 is bird moving object detection step;
Fig. 6 is desktop management and control center operating procedure.
Fig. 7 is for driving bird terminal operating step.
Embodiment
Referring to Fig. 1, the utility model a kind of airport bird feelings monitoring bird-repeller system comprises long-range bird feelings supervising device, drives bird terminal and desktop management and control center.The output of its medium-long range bird feelings supervising device connects the input at desktop management and control center, the output at desktop management and control center with drive the bird terminal and be connected.
Described long-range bird feelings supervising device utilizes birds sound mark and flight characteristic, be used for the bird target in management and control zone, airport is monitored identification, and according to current place monitoring position of terminal, calculate and judge orientation and the current motion state of the relatively current terminal of bird target.In the utility model, described long-range bird feelings supervising device comprises chirping of birds sound source positioning unit and bird moving object detection unit.The harvester of at first, chirping of birds sound source positioning unit and bird moving object detection unit is distributed in guarded region around airfield runway according to fixing distribution distance.In the utility model, the guarded region around airfield runway is split into a plurality of workspaces, as adopting matrix partition layout type (as Fig. 2), annular zoning mode, reaching other zoning's modes.Wherein be installed with at least 1 non-directional microphone, 1 digital camera and 1 bird-scaring unit in each workspace.But in order to eliminate the monitoring blind area of digital camera, in the utility model preferred embodiment, each workspace flat opposed is settled 2 digital cameras.Afterwards, chirping of birds sound source positioning unit and the bird moving object detection unit mode by wire communication directly is connected with the early warning and monitoring central processing unit at desktop management and control center, chirping of birds sound source positioning unit and bird moving object detection cellular installation position are fixed, and fixing coordinate is deposited in early warning and monitoring central processing unit tables of data.
Above-mentioned chirping of birds sound source positioning unit is by the microphone array of non-directional microphone, utilize the method for delay estimation maximum, calculate sound time delay between each array element of microphone of non-directional microphone that same chirping of birds target is sent, and then by known acoustic wave propagation velocity, calculate sound and arrive each array element path difference, then according to the space geometry relation of array element and target, the coordinate that namely can calculate target.And operation result and current region origin are transferred to the early warning and monitoring central processing unit at desktop management and control center.In the utility model, wherein chirping of birds sound source positioning unit mainly is comprised of a plurality of non-directional microphones, a plurality of A/D converter, chirping of birds data operation unit and chirping of birds communication unit.Each non-directional microphone gathers the sound in this workspace, and sends into after the sound in this workspace is changed by A/D converter in chirping of birds data operation unit.Chirping of birds data operation unit first carries out pre-filtering with the sound in each workspace, and the recycling delay time estimation method carries out obtaining after simultaneous calculates the position coordinates of chirping of birds target to the sound in all workspaces.The chirping of birds communication unit is sent the result of calculation of above-mentioned chirping of birds data operation unit into desktop management and control center.In the utility model preferred embodiment, described chirping of birds data operation unit is connected by the RS485 communication unit with desktop management and control center.
Above-mentioned bird moving object detection unit extracts the guarded region image by digital camera, be partitioned into the zone at the target place of motion in continuous sequence of video images, the recycling moving object detection algorithm picks time, upper two adjacent frames were monitored computing, usually very short because of the time interval of two adjacent frames collections, we think that ambient brightness does not change, if operation result is set thresholding less than certain, think static background; If result is set thresholding greater than certain, think target.And the result after computing is finished and self device numbered transmission are to desktop management and control center early warning and monitoring central processing unit.In the utility model, bird moving object detection unit mainly is comprised of a plurality of digital cameras, bird exercise data arithmetic element and bird moving communication unit.Each digital camera gathers the image in this workspace, and the image in this workspace is sent in bird exercise data arithmetic element.Bird exercise data arithmetic element utilizes the moving object detection algorithm that the image in each workspace is processed, and two two field pictures adjacent on access time are compared, and obtain thus the position of bird moving target.Desktop management and control center is sent the result of calculation of above-mentioned bird exercise data arithmetic element in bird moving communication unit.In the utility model preferred embodiment, bird exercise data arithmetic element and desktop management and control center are connected by RJ-45 ethernet communication unit.
The described bird terminal of driving is after having obtained the control signal of desktop management and control center sending, and utilization is bionics method, namely drives the tweeting sound, squel, the comprehensive explosion sound equipment that send the birds natural enemy flying bird is driven away, thereby realize initiatively driving bird.In the utility model, the described bird terminal of driving comprises a plurality of bird-scaring units, a plurality of bird controller and a plurality of wireless communication unit of driving, and wherein is equipped with 1 bird-scaring unit, 1 in each workspace in the guarded region around airfield runway and drives bird controller and 1 wireless communication unit.The desktop control system at desktop management and control center by wireless communication unit with drive the bird controller and be connected, drive the bird controller output end and connect bird-scaring unit.Wireless communication unit comprises wireless communication module and main control module.Wireless communication module is responsible for setting up communication link, completes the tcp/ip communication agreement, guarantees the wireless communication terminal real-time online.Main control module is responsible for carrying out that desktop management and control center sends drives the bird instruction, and it is transferred in real time drives the bird controller.In the utility model preferred embodiment, drive the STM32F103R8 that the bird controller adopts the ARM7 kernel; Drive bird controller trigger element and adopt Control; The electric power system of driving the bird terminal adopts solar panel; Described bird-scaring unit is the coal gas big gun.
Described desktop management and control center utilizes the GIS(geographic information system) framework, wired and Radio Transmission Technology, Data fusion technique with bird feelings monitoring terminal, drive the bird controller, target is dissolved in geographic information system, driving the bird controller is fused to the controller azimuth information in GIS by wireless terminal, when desktop system early warning or duty personnel are judged as dangerous birds when movable by monitoring information, can directly trigger the bird-scaring unit of corresponding region by generalized information system, implement initiatively to drive the bird action, eliminate potential bird and hit danger.When management and control centring system unmanned, can preset birds detector early warning program and drive the bird program, enforcement intelligent bird-repeller pattern or timing, fixed point are driven bird, and the monitor message during unmanned is saved in server, so that to inquiry and the playback of bird feelings of monitoring record, management and control center desktop system can also conduct interviews to server by various mutual contact modes, can realize the whole network management.
The position coordinates of above-mentioned desktop management and control center invasion bird target of acquisition with each non-directional microphone, each digital camera, each bird-scaring unit and after merging by chirping of birds target and bird moving target is dissolved in geographic information system in the lump; When occurring invasion bird target in wherein one or more workspaces in the guarded region around airfield runway is judged at desktop management and control center, send control signal and trigger bird-scaring unit work in corresponding workspace.Described desktop management and control center comprises early warning and monitoring central processing unit, desktop surveillance, desktop control system and desktop database.Described early warning and monitoring central processing unit mainly is made of data receiver unit, data fusion unit and prewarning unit.The data from chirping of birds communication unit and bird moving communication unit are responsible for receiving in the data receiver unit.The relative position coordinates that the invasion bird target that will receive is responsible in the data fusion unit is converted to map reference and is fused in geographic information system, and calibrated digital picture is linked to geographic information system.Prewarning unit will be invaded the bird target and is shown to the desktop control system and make alarm, search simultaneously the end coordinates of best bird-scaring unit, send to the request of desktop control system and drive the bird instruction.Described desktop surveillance will invade bird target location, alarm, drive the bird prompting and calibrated image is shown in screen.Described desktop control system receives alarm command, sends control instruction to driving the bird controller.Described desktop database is responsible for storing the coordinate information of each non-directional microphone, each digital camera and each bird-scaring unit, and from early warning and monitoring central processing unit and all coordinate informations of desktop control system and data command.
The bird method is driven in a kind of airport bird feelings monitoring that above-mentioned airport bird feelings monitoring bird-repeller system is realized, comprises the steps:
(1) guarded region around airfield runway is divided into M workspace, M>1, and respectively be installed with in each workspace in 1 non-directional microphone, at least 1 digital camera and 1 bird-scaring unit.
(2) each non-directional microphone gathers the sound that same chirping of birds target is sent, and it is back in chirping of birds data operation unit; The method of chirping of birds data operation unit by using delay estimation maximum, calculate sound time delay between each non-directional microphone of microphone that same chirping of birds target is sent, and then by known acoustic wave propagation velocity, calculate sound and arrive each array element path difference of non-directional microphone, then according to the space geometry relation of non-directional microphone and chirping of birds target, the position coordinates that namely can calculate the chirping of birds target; The chirping of birds communication unit is sent the result of calculation of above-mentioned chirping of birds data operation unit into desktop management and control center.
In the utility model preferred embodiment, described chirping of birds object detection method (as Fig. 4) comprises the following steps:
At first M non-directional microphone formed microphone array according to certain topological structure, as Fig. 3 example, 9 microphones are evenly distributed on the plane that the 3 d space coordinate axle opened, in the actual environment of airport, target location and microphone distance are larger, can think that the signal amplitude (acoustic pressure) that each array element of microphone array collects is changed to zero, this moment, Acoustic Wave Propagation can be thought plane wave propagation.
For ease of statement, 2 non-directional microphone array elements that we choose are wherein carried out the computational methods description.As Fig. 3 example, microphone 1 and microphone 2 receive the distance and bearing of the acoustical signal of same chirping of birds sound source P, have reflected the distance and bearing angle of bird target and microphone line.
Step 1: by target to the two anemochoric path differences of Mike, build geometrical relationship:
In space coordinates, we suppose that acoustical signal that P sends is L to microphone 1 and microphone 2 apart from difference 12, L so 12=L 1p-L 2p, establish microphone 1 and be origin of coordinates r 1=(x 1, y 1, z 1)=(0,0,0), L so 1p=R p
R wherein 2=(x 2, y 2, z 2), r p=(x p, y p, z p), got by geometrical relationship in Fig. 3:
( R p + L 12 ) 2 = R 2 2 - 2 r 2 T r p + R p 2
This moment our hypothesis L 12Known, 1. equation is strictly set up equation expansion so:
R 2 2 - L 12 2 - 2 R p L 12 - 2 r 2 T r p = 0
L in the actual operation process 12The method of using time delay to estimate, the acoustical signal that estimating target P sends is to the transmission time τ of microphone 1 and microphone 2 12Obtain, namely (wherein c is the aerial spread speed of sound, is 340m/s under normal temperature), therefore 2. formula does not strictly equal 0, and establishing error amount is ε, and 2. formula is out of shape:
ϵ = R 2 2 - L ^ 12 2 - 2 R p L ^ 12 - 2 r 2 T r p
Step 2: build the internodal equation group of multi-microphone:
When microphone array is comprised of M microphone, can utilize a plurality of microphone path differences to build in twos equation, solving equations improves target location accuracy.Be exemplified as 9 microphones as Fig. 3, at initial point, for ease of calculating, we select microphone 2~microphone 9 and microphone 1 to build in twos equation group because of microphone 1.Be similar to step 1:
ϵ = R 2 2 - L 12 2 . . . R 9 2 - L 19 2 - 2 R p L ^ 12 . . . L ^ 19 - 2 x 2 y 2 z 3 . . . . . . . . . x 9 y 9 z 9 x p y p z p
Wherein: R p = x p 2 + y p 2 + z p 2
Step 3: the method for using the time delay estimation is obtained
Figure DEST_PATH_GDA00002758864000063
By L ^ 12 = τ 12 × c
Wherein
Figure DEST_PATH_GDA00002758864000065
Be the path difference between two microphones, c is the aerial spread speed of sound, is 340m/s under normal temperature, τ 12To the delay volume between microphone microphone 1 and microphone 2, it utilizes the time difference of two signal correction the maximum value of functions to obtain for same chirping of birds sound source P.
If obtain respectively f after the A/D sampling of the target acoustical signal that microphone 1 and microphone 2 receive process and LPF 1p(n) and f 2p(n).
f 1p(n)=s(n-τ 1)+N 1(n)
f 2p(n)=s(n-τ 2)+N 2(n)
Its cross-correlation function is:
P 12(τ)=E(f 1p(n)f 2p(n-τ)) ⑥
Suppose that acoustical signal s (n) is uncorrelated with noise signal N (n): the following formula abbreviation gets:
P 12(τ)=P s(τ-(τ 12)) ⑦
By the character of correlation function P as can be known 12(τ) there is peak value P 12max(τ), and when value be P 12max(τ), the correlation of two signals is best, and we think direct signal to receive signal, at this moment signal time delay τ 12Equal τ in formula 12That is: τ 1212
To f 1p(n) and f 2p(n) carry out FFT:
F 1p(k)=FFT(f 1p(n)),F 2p(k)=FFT(f 2p(n)) ⑧
7. can receive the crosspower spectrum of signal by formula:
G 12 ( k ) = F 1 p ( k ) F 2 p * ( k )
:
P 12(τ)=FFT -1(G 12(k)) ⑩
To P 12(τ) search for, with spectrum peak bring into formula 7. with formula 5., can obtain
Figure DEST_PATH_GDA00002758864000067
Recycle step 3, utilize microphone 1 and microphone 2~microphone 9 to make up in twos, can try to achieve
Figure DEST_PATH_GDA00002758864000071
Step 4: calculated target positions coordinate
In being brought into step 3 acquired results 4., under minimum mean square error criterion::
( x p , y p , z p ) = ( x 2 y 2 z 3 . . . . . . . . . x 9 y 9 z 9 T · 1 Δ 1 - L 12 2 - L 12 L 13 . . . - L 12 L 19 - L 13 L 12 1 - L 13 2 . . . - L 13 L 19 . . . . . . . . . . . . - L 19 L 12 - L 19 L 13 . . . 1 - L 19 2 · x 2 y 2 z 3 . . . . . . . . . x 9 y 9 z 9 ) - 1 · x 2 y 2 z 3 . . . . . . . . . x 9 y 9 z 9 T · 1 Δ 1 - L 12 2 - L 12 L 13 . . . - L 12 L 19 - L 13 L 12 1 - L 13 2 . . . - L 13 L 19 . . . . . . . . . . . . - L 19 L 12 - L 19 L 13 . . . 1 - L 19 2 · 1 2 R 2 2 - L 12 2 . . . R 9 2 - L 19 2
(wherein Δ = L 12 2 + L 13 2 + . . . + L 19 2
Can obtain the relative position coordinates (x of chirping of birds target p, y p, z p).
(3) each digital camera gathers the image in this workspace, and it is sent in bird exercise data arithmetic element; Bird exercise data arithmetic element is partitioned into the zone at the target place of motion in continuous sequence of video images, the recycling moving object detection algorithm picks time, upper two adjacent frames were monitored computing, if operation result less than predetermined threshold, is thought static background; If result greater than predetermined threshold, is thought the bird moving target; Desktop management and control center is sent the result of calculation of above-mentioned bird exercise data arithmetic element in bird moving communication unit.
In the utility model preferred embodiment, the moving target detection method of described bird motion process (as Fig. 5) comprises the following steps:
Step 1: the zone (often be called foreground target zone) that is partitioned into the target place of motion in continuous sequence of video images.
Adjacent two frames on access time, wherein I t(i, j) represents present frame, I t-1(i, j) is the former frame of present frame, D tBe absolute values of each pixel difference both, that is:
D t=|I t(i,j)-I t-1(i,j)|
Step 2: utilize moving object detection algorithm monitors moving target.
Wherein M represents threshold value, B kPixel value for the bianry image corresponding points after cutting apart.
With B k=1 pixel marks in picture frame.Can obtain motion bird target.
The frame difference method computing is simple, and Data Update speed is fast, is fit to simply use under background environment around airfield runway.
(4) desktop management and control center utilizes geographic information system framework, transmission technology, Data fusion technique with each non-directional microphone, each digital camera, each bird-scaring unit and the position of the invasion bird target that obtains after merging by chirping of birds target and bird moving target is dissolved in geographic information system; When occurring invasion bird target in wherein one or more workspaces in the guarded region around airfield runway is judged at desktop management and control center, send control signal and trigger bird-scaring unit work in corresponding workspace.
In the utility model preferred embodiment, described desktop management and control center (as Fig. 6) comprises the steps:
(4.1) the field data result that monitors of described bird feelings monitoring terminal is sent into the data receiver unit, the invasion bird target relative position that the data fusion unit is responsible for receiving is converted to global position and is fused in geographic information system, and calibrated digital picture is linked to geographic information system.
Wherein the specific works step of data fusion unit is as follows:
Step 1: the coordinate of non-directional microphone speaker array, digital camera and bird-scaring unit and partition number collection are entered into data fusion cell data storehouse.
Step 2: after receiving the data from receiving element, at first read zonal coding, extract the origin of the microphone speaker array of corresponding subregion.
Step 3: calculate (x p, y p, z p) Entirely=(x 1, y 1, z 1) Work as the proparea+ (x p, y p, z p) Work as the proparea(target world coordinates=current subregion origin+current subregion coordinates computed).
Step 4: the coordinate of the nearest bird-scaring unit of detection range in world coordinates.
(4.2) described prewarning unit will be invaded the bird target and is shown to the desktop control system and make alarm, send and will drive the bird instruction to driving the bird controller.
(4.3) described desktop surveillance with target location, alarm, drive bird prompting and calibrated image is shown in screen, the auxiliary duty personnel of Surveillance center carries out the judgement of bird feelings according to the position at current scene.
(4.4) described desktop control system receives the alarm command of prewarning unit, sends control instruction to driving the bird controller.
(4.5) described desktop database storage from early warning and monitoring central processing unit and all positional informations of desktop control system and data command, is convenient to monitor personnel inquiry.
(5) wireless communication unit receive desktop management and control center send drive the bird instruction, and it transferred in real time drive the bird controller.
In the utility model preferred embodiment, described wireless communication unit comprises following steps:
(5.1) start detects automatically;
(5.2) set up the GPRS/EDGE communication link, complete the tcp/ip communication agreement, guarantee the wireless communication terminal real-time online;
(5.3) the management and control center of receiving remote drive the bird instruction, and trigger corresponding bird-scaring unit and send and drive the bird signal by driving the bird controller;
(5.4) transmission information is carried out encryption and decryption and data check, the safety of safeguards system;
(5.5) passback is driven the triggering of bird terminal and is driven the bird instruction.
(6) the long-range bird controller that drives of described example receives the instruction that wireless communication unit sends, and implements initiatively to drive bird by the order-driven bird-scaring unit.
In the utility model preferred embodiment, the long-range bird end step (as Fig. 7) of driving comprises the following step
Suddenly: step 1: start sends self-checking command to bird-scaring unit;
Step 2: monitor and drive the bird control instruction;
Step 3: send and drive the bird triggering signal;
Step 4: preserve trigger event.

Claims (2)

1. airport bird feelings monitoring bird-repeller system is characterized in that: comprise long-range bird feelings supervising device, drive bird terminal and desktop management and control center; The output of its medium-long range bird feelings supervising device connects the input at desktop management and control center, the output at desktop management and control center with drive the bird terminal and be connected;
Described long-range bird feelings supervising device comprises chirping of birds sound source positioning unit and bird moving object detection unit; Wherein chirping of birds sound source positioning unit mainly is comprised of a plurality of non-directional microphones, a plurality of A/D converter, chirping of birds data operation unit and chirping of birds communication unit; Bird moving object detection unit mainly is comprised of a plurality of digital cameras, bird exercise data arithmetic element and bird moving communication unit;
Above-mentioned non-directional microphone and digital camera are distributed in airfield runway guarded region on every side according to fixing distribution distance, be that airfield runway guarded region on every side is split into a plurality of workspaces, respectively be installed with 1 non-directional microphone and at least 1 digital camera in each workspace; Each non-directional microphone respectively is connected with chirping of birds data operation unit by A/D converter; Chirping of birds data operation unit connects the input at desktop management and control center through the chirping of birds communication unit; Each digital camera all is connected with bird exercise data arithmetic element, and bird exercise data arithmetic element is through the input at connection desktop management and control center, bird moving communication unit;
The described bird terminal of driving comprises a plurality of bird-scaring units, a plurality of bird controller and a plurality of wireless communication unit of driving;
Be equipped with 1 bird-scaring unit, 1 in each workspace in guarded region around airfield runway and drive bird controller and 1 wireless communication unit; The output at desktop management and control center is connected respectively at a plurality of bird controllers that drive by wireless communication unit, and each drives the bird controller output end and respectively connects a bird-scaring unit.
2. a kind of airport according to claim 1 bird feelings monitoring bird-repeller system, it is characterized in that: described chirping of birds communication unit is the RS485 communication unit, bird moving communication unit is RJ-45 ethernet communication unit.
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Publication number Priority date Publication date Assignee Title
CN105528846A (en) * 2014-10-20 2016-04-27 韩华泰科株式会社 Apparatus and method for generating alarm
CN104808612A (en) * 2015-02-26 2015-07-29 山东师范大学 Omnibearing automatic anti-bird network control system and control method
CN104808612B (en) * 2015-02-26 2017-04-12 山东师范大学 Omnibearing automatic anti-bird network control system and control method
CN104782607A (en) * 2015-04-16 2015-07-22 河南行知专利服务有限公司 Bird repelling monitoring system of electric rod tower
CN106526533A (en) * 2016-11-14 2017-03-22 中国科学院上海微系统与信息技术研究所 Microporous MEMS acoustic array sensor and use method thereof
CN106526533B (en) * 2016-11-14 2019-03-05 中国科学院上海微系统与信息技术研究所 A kind of micropore diameter MEMS acoustic matrix sensor and its application method
CN107610406A (en) * 2017-10-27 2018-01-19 深圳市文立科技有限公司 Wild animal prior-warning device

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