CN105991969A - Detector of floating suspension objects on high tension transmission line, and method of using and installing the detector - Google Patents
Detector of floating suspension objects on high tension transmission line, and method of using and installing the detector Download PDFInfo
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Abstract
The invention relates to an apparatus and method for monitoring the operation condition of a high tension transmission line, based on a video image intelligent analysis technology, and provides a detector of floating suspension objects on a high tension transmission line, and a method of using and installing the detector. The detector comprises a video acquisition module, a detection module, a communication module and a power supply management module. The detection method comprises the flow steps: 1) starting the detector; 2) reading detection rules; 3) acquiring video scenes through the video acquisition module, detecting and identifying a high voltage line; and 4) detecting and identifying the floating suspension objects on the high voltage line, reporting the result to a back end management software platform to alarm or to perform manual emergency treatment. The detector and the detection method have the advantages of monitoring the floating suspension objects on the high voltage line in real time and outputting the alarm information to prompt a maintainer to clean after reporting the result to the back end management software platform so as to effectively prevent the hidden trouble on operation of the power line from the floating suspension objects on the high voltage line.
Description
Technical field
The present invention relates to transmission line of electricity on-line monitoring field, specifically, relate to a kind of detection device being applied to the monitoring of ultra-high-tension power transmission line operating condition based on video image intelligent analysis technology and the method using this detection device and this detection device of installation.
Background technology
Between the wire of ultra-high-tension power transmission line and ground, building, trees, railway, highway, river and other overhead transmission lines; between wire and wire, wire and lightning conducter; all should keep necessary minimum safe distance, simultaneously lightning conducter to the shielding angle of wire and when using installation of dual lightning wires horizontal minimum range between two lightning conducters should meet pertinent regulations.
Ultra-high-tension power transmission line is located in field, wilderness, and natural environment is complicated, and tree planting at the bottom of the architecture against regulations, line, the extension thing that wafts are all the problems of giving prominence to the key points jeopardizing transmission line of electricity safe operation.
Wafing extension thing such as balloon, kite, plastic sheeting etc. on circuit, will reduce the safe distance of extra-high voltage transmission line, the probability of increase line discharge flashover, cause line tripping or initiation fire, be the properly functioning hidden danger of circuit, it is necessary to find in time, remove as early as possible.
At present, being maintained in management of ultra-high-tension power transmission line also exists following difficulty:
(1), personnel amount is difficult to meet the requirement uninterruptedly nursed operating condition on line.
(2), line attendant can not be fixed on a position, therefore in making an inspection tour interval, transmission line of electricity uncertain factor cannot be grasped.
(3), high voltage transmission line route occurs waft and hang thing and have the feature of unpredictability and variable interval, increase and hang principle condition for occurring on line wafing and grasps and the difficulty of process in time.
For the difficulty conscientiously existed in above maintenance and problem, the control and monitoring to high-tension line can be effectively improved by installing the technological means such as video on-Line Monitor Device.Video on-Line Monitor Device, because achieving transmission line of electricity along the remote viewing of thread environment, is installed the most widely and is applied.
But common video monitoring apparatus is substantially to realize the HD recording service of video, the video that sends back of head end video supervising device or picture will carry out locally stored and management, facilitate management personnel to call and check.Then by monitoring management personnel video data can be checked with or without extension this kind of situation of thing of wafing on line and realize.
Video image analysis technology is widely used at present in security protection.Video image analysis technology can carry out Target detection and identification to the specific objective in video monitoring scene, so that common video monitoring has the ability of autonomous analysis, improves the practical ability of video monitoring.
Summary of the invention
The technological deficiency that thing is difficult to realize or detect is hung for wafing on existing high-tension line, the present invention uses the extension analyte detection device and method that wafts on a kind of high-tension line of detection method offer of Online Video, the extension thing that wafts whether is there is on line in order to detect, by testing result and related data active reporting to rear end supervision and management center, it it is the concrete application in electric power transmission line status monitoring field of the video image analysis technology.
In order to realize above-mentioned purpose, the present invention provides the extension analyte detection device that wafts on a kind of high-tension line, and described detection device includes:
Video acquisition module, described video acquisition module is primarily directed to ultra-high-tension power transmission line and carries out video data acquiring；
Detection module, described detection module is that the data obtained for video acquisition module are analyzed in real time and calculated, and output detections result and relevant vedio data；
Communication module, described communication module is that the testing result exported by detection module is uploaded to Surveillance center in real time with relevant vedio data；
Power management module, described power management module is described video acquisition module, detection module, communication module provide working power.
The preferred embodiments of the invention are, described video acquisition module comprises analog video Acquisition Circuit and numeral high definition video collecting circuit, video channel selection circuit.
The preferred embodiments of the invention are, the interface of described video acquisition module includes BNC video input interface, parallel data grabbing card, power port.
The preferred embodiments of the invention are, described detection module comprises dsp system circuit and network communications circuits.
The preferred embodiments of the invention are, the data-interface of described detection module comprises parallel input interface, 485 serial communication interfaces, RJ45 network communication interface, power port.
The preferred embodiments of the invention are, described dsp system circuit comprises DSP signal processing circuit, and described DSP signal processing circuit includes core processor, high speed DDR3 internal memory, ROM internal memory.
The preferred embodiments of the invention are, described communication module is provided with 3G, WIFI radio communication circuit, testing result and the relevant vedio data of detection module are uploaded to background monitoring center by described 3G, WIFI radio communication circuit in real time, and receive the instruction at background monitoring center.
The preferred embodiments of the invention are, the interface of described communication module includes network RJ45 communication interface, power input interface, antennal interface.
The preferred embodiments of the invention are, described power management module comprises power supply input protection circuit, electric power management circuit.
The preferred embodiments of the invention are, the interface of described power management module includes power input interface, power output interface.
The preferred embodiments of the invention are, described video acquisition module is connected with the parallel input interface of described detection module by described parallel data grabbing card.
The another kind of preferred embodiment of the present invention is, when the data form of described video acquisition module with the parallel data grabbing card transmission of described detection module uses analog video input, it is then BT656 data, when the data form of described video acquisition module with the parallel data grabbing card transmission of described detection module uses HD video input, then it is BT1120 data.
The another kind of preferred embodiment of the present invention is, the RJ45 interface of described detection module is connected with the RJ45 network communication interface of communication module.
The another kind of preferred embodiment of the present invention is, 485 serial line interfaces of described detection module connect clipping the ball or 485 serial communication interfaces of The Cloud Terrace, and are controlled the PTZ of clipping the ball or The Cloud Terrace.
The another kind of preferred embodiment of the present invention is, the power input interface of described power management module is connected with external power source, the power output interface of described power management module respectively with the power port of described video acquisition module, the power port of described detection module, the power interface of described communication module connects.
The present invention also provides for a kind of method using the detection hanging analyte detection device of wafing on ultra-high-tension power transmission line, and wherein, the process step using the method for this detection device to comprise has:
Step one: detection device starts
After described detection device starts, it is judged that whether have video signal to input in described detection device, when there being video signal input then to enter into second step, when described detection device does not has video signal input Surveillance center the most to the back-end to send the information of video-losing；
Step 2: detection device reads in detected rule
Described reading detected rule is to set measuring point to be checked to waft the extension length of thing, area, amplitude of waving, and hunting period；
Step 3: gather video module and obtain video scene
Described video scene is obtained by the collection video module output detecting device built-in, and video data is sent to the built-in DSP of detection module after digital-to-analogue conversion and carries out data analysis by described collection video module；
Step 4: high-voltage line detection and identification
Video scene is analyzed and judges by described detection device, then enters into step 5 when identifying high-voltage line, when described detection device can not identify high-voltage line by video scene, then by controlling The Cloud Terrace or clipping the ball replacing scene, returns step 3；
Step 5: waft on line extension analyte detection and identification
After described detection device identifies high-voltage power line scene, using this scene as background, carry out target detection and judgement along peripheral region, high-voltage power line direction, when meeting the detected rule target of step 2, be then judged as extension thing existence of wafing.
Step 6: the related data that detection and recognition result obtain is reported to rear end Management software platform.
Step 7: after completing one-time detection, detection device reenters step 2, the most repeatedly, goes round and begins again.
The present invention also provides for a kind of electric lines of force detection and knows method for distinguishing, and wherein, the process step that electric lines of force detection and recognition methods comprise has:
Step one: Image semantic classification, uses Gaussian smoothing function to be filtered present image processing, to obtain the image smoothed, wherein, and the image received when present image can be real-time operation, it is also possible to be the current frame image in one section of video；
Step 2: utilizing the second order Grad of the smoothed image every some gray value of present image to build Hessian matrix, eigenvalue and characteristic vector to this Hessian matrix are analyzed, and obtain eigenvalue of maximum and the normal direction of the Hessian matrix of every；
Step 3: using the eigenvalue of maximum of the Hessian matrix of test point as the curvature intensity of this test point, using the test point of curvature maximum intensity as initiating searches point, the bearing of trend of test point is tried to achieve according to normal direction, and by the next curve detection point of this search；Step 4: obtain the curve detection point of the bianry image of current smooth image and connect these curve point with forming curves；
Step 5: judge whether current curves occurs curve to interrupt, and the curve interrupted is attached；Judge whether current curves occurs curve to disappear, and the curve disappeared is attached；
Step 6: judge whether current curves connects accurately, it is judged that it is complete whether present image inner curve detects, after smoothing processing, output connects correct curve.
Step 7: carry out amplitude judgement to connecting correct curve, it is connected with the interval double high point of curve and obtains straight line, the straight line of one and above-mentioned straight line parallel is obtained in curve minimum point, article two, the distance between straight line is the amplitude of curve, and range value will be judged as electric lines of force less than the curve of specific threshold T.Threshold value T is configured according to actual power line scene.After detection identifies electric lines of force, current video scene will be identified as power line video scene, can be to its waft extension analyte detection and identification.
The present invention also provides for wafing extension analyte detection on a kind of line and knowing method for distinguishing, and its process step comprised has:
Step one, video acquisition, obtain video content, to obtain scene image；
Step 2, Image semantic classification, for eliminating its impact on background model；
Step 3, zone marker, for background model carries out foreground segmentation, and mark connected region one by one；
Step 4, system mode are safeguarded, for judging the state that detector module is presently in, make respective handling, and do abnormality detection when necessary；
Step 5, region strengthen, and are used for rejecting the false areas such as shade, highlighted and leaf swing；
Step 6, regional split with merge, be used for solving target over-segmentation and the mutual occlusion issue of target.
Step 7, target detection, for splitting the motion target area in video scene from background；
Step 8, target prediction, for estimating the next frame motion of target；
Step 9, object matching, for the stable objects of tracking and matching, and filter some false targets；
Step 10, target update, the template renewal of stable objects in present frame.
Step 11, feature extraction, in order to extract space characteristics and the temporal characteristics of target, wherein, described space characteristics includes: the major axis of region contour fitted ellipse, the short axle of region contour fitted ellipse, the short axle of matching and horizontal direction angle, the class circle property of region contour, the degree of compacting in region, the area in region, the upper and lower part area ratio in region；Described temporal characteristics includes: the velocity characteristic of target；The periodic movement feature of target；The history classification information of target.
Step 12, type decision, in order to judge that the type of target, affair character and space characteristics meet extension thing feature of wafing and be i.e. judged as the extension thing that wafts.
The present invention also provides for installation and the using method of above-mentioned detection device, and its process step comprised has:
The first step, the installation of detection device, on the cross-arm of the steel tower that described detection device is arranged on ultra-high-tension power transmission line；
Second step, detection device is attached with the video frequency output of clipping the ball, the video frequency output of high-speed ball-forming machine is linked into the BNC input interface of described detection device；
3rd step, the plant-grid connection of detection device, the power supply input of detection device is 12v direct current, is provided by the solaode being arranged on steel tower；
4th step, detection device is set up with rear end pipe platform software communication, detects after device powers on and can be automatically registered to rear end pipe platform software by wireless 3G, shows that the duty of oneself is online on management platform software；
5th step, is configured the detected rule of detection device, on management platform software can the detected rule followed of remotely located detection device, detection length and width value, the area value of target, periodic quantity of waving mainly are set, wave range value.
6th step, equipment is restarted, and after setting detected rule, needs remote reboot to detect device, sends out reset command by platform software to detection device, and equipment is restarted, and detected rule starts effectively.
The invention has the beneficial effects as follows by using the detection device of image procossing and video image analysis detect from video monitoring scene and identify the video scene of power transmission line, whether exist to waft in finding monitoring scene in time and hang the phenomenon of thing, and transport inspection personnel's initiative alarming to electric power transmission line, reminding fortune inspection personnel to remove the extension thing that wafts as early as possible, effectively taking precautions against wafts on line hangs the hidden danger that electric wire running is brought by thing.
Accompanying drawing explanation
Fig. 1 is inside principle and the signaling interface explanatory diagram that the present invention detects device.
Fig. 2 is the workflow step figure that the present invention detects device.
Fig. 3 is the annexation figure between each comprising modules of apparatus of the present invention.
Fig. 4 is that the electric lines of force that the present invention detects in device detects the process step figure with recognition methods.
Fig. 5 is the process step figure hanging analyte detection with recognition methods that wafts on the line that the present invention detects in device.
Fig. 6 is the use flow chart that the present invention detects device.
Detailed description of the invention
For clearer explanation technical scheme, the present invention is described further below in conjunction with the accompanying drawings.
Fig. 1 is inside principle and the signaling interface explanatory diagram that the present invention detects device, with reference to shown in Fig. 1, a kind of high-tension line wafts and hangs the detection device of thing, comprising:
Video acquisition module 1, its effect is primarily directed to ultra-high-tension power transmission line and carries out video data acquiring, video acquisition module 1 comprises analog video Acquisition Circuit 1.1 and numeral high definition video collecting circuit 1.2, video channel selection circuit 1.3, and BNC video input interface 1.4, parallel data grabbing card 1.5, power input interface 1.6.
Detection module 2, the function of detection module 2 is that the data obtained for video acquisition module are analyzed in real time and calculated, and output detections result and relevant vedio data.Detection module 2 comprises dsp system circuit 2.1 and network communications circuits 2.2.The data-interface of detection module 2 also comprises parallel input interface 2.3,485 serial line interfaces 2.4, RJ45 network communication interface 2.5, power port 2.6, wherein, dsp system circuit 2.1 comprises DSP signal processing circuit, and described DSP signal processing circuit includes core processor, high speed DDR3 internal memory, ROM internal memory.
Communication module 3, the major function of communication module 3 is that the testing result exported by detection module is uploaded to Surveillance center in real time with relevant vedio data, wherein, communication module is provided with 3G/WIFI/ radio communication circuit 3.3, the testing result of detection module and relevant vedio data are uploaded to background monitoring center in real time, and receive the instruction at background monitoring center, the interface of communication module 3 includes network RJ45 network communication interface 3.1, power input interface 3.2, antennal interface 3.4, and communication module 3 is also by antennal interface 3.3 external 3G or WIFI antenna.
Power management module 4 is electric power system; wherein power management module 4 be video acquisition module 1, detection module 2, communication module 3 working power is provided; described power management module 4 comprises power supply input protection circuit 4.1, electric power management circuit 4.2; wherein; described power management mould; the interface of 4 also includes power input interface 4.3, power output interface 4.4 and solar battery power output interface.
In FIG, also show that video acquisition module 1 is connected by the parallel data grabbing card 2.3 of described parallel data grabbing card 1.5 with described detection module 2.When the data form of described video acquisition module 1 with parallel data grabbing card 2.3 transmission of described detection module 2 uses analog video input, it is then BT656 data, when the data form of described video acquisition module 1 with parallel data grabbing card 2.3 transmission of described detection module 2 uses HD video input, then it is BT1120 data.The RJ45 network communication interface 2.5 of detection module 2 is connected with the network RJ45 communication interface 3.1 of communication module 3.485 serial communication interfaces 2.4 of detection module 2 connect 485 serial communication interfaces 2.4 of clipping the ball or The Cloud Terrace, and are controlled the PTZ of clipping the ball or The Cloud Terrace.
The external high-speed ball-forming machine of BNC video input interface 1.4 in video acquisition module 1 or monopod video camera BNC video output interface.
RJ45 network communication interface 2.5 in detection module 2 is connected with the RJ network communication interface 3.1 of communication module, and carries out information transmission.
In detail in this figure, also clearly show power output interface 4.4 respectively by the power port 1.6 in video acquisition module 1, the power port 2.6 of detection module 2 and the power interface 3.2 of communication module connect, and power to video acquisition module 1, detection module 2, communication module 3.
In detail in this figure, additionally provide a kind of use solaode to be powered to power management module 4 by solar battery power output interface 4.3.
Fig. 2 is the method for work block diagram of detection device, and with reference to shown in Fig. 2, it provides a kind of detection method using the extension analyte detection device that wafts on ultra-high-tension power transmission line., the process step that described detection method comprises is:
Step one: detection device starts
After described detection device starts, it is judged that whether have video signal to input in described detection device, when there being video signal to input, then enter into second step, when described detection device does not has video signal input Surveillance center the most to the back-end to send the information of video-losing；
Step 2: detection device reads in detected rule
Described detected rule is to set measuring point to be checked to waft the extension length of thing, area, amplitude of waving, and hunting period；
Step 3: gather video module 1 and obtain video scene
Described video scene is exported acquisition by detecting the built-in collection video module 1 of device, and video data is sent to the built-in dsp system circuit of detection module 2 2.1 after digital-to-analogue conversion and carries out data analysis by described collection video module 1；
Step 4: electric lines of force detection and identification
Video scene is analyzed and judges by described detection device, step 5 is then entered into when identifying high-voltage line, when described detection device can not identify high-voltage power line by video scene, then by controlling The Cloud Terrace or clipping the ball replacing scene, reenter step 3；
Step 5: waft on line extension analyte detection and identification
After described detection device identifies high-voltage power line scene, using this scene as background, carry out target detection and judgement along peripheral region, high-voltage power line direction, when meeting the target of the detected rule that step 2 is arranged, be then judged as extension thing existence of wafing.
Step 6: the related data that detection and recognition result obtain is reported to rear end Management software platform.
Step 7: after completing one-time detection, detection device reenters step 2, the most repeatedly.
With reference to shown in Fig. 3, the power input interface 4.3 of power module 4 is connected with external power source, such as solar battery power output interface.The power output interface 4.3 of power module 4 respectively with the power port 1.6 of described video acquisition module 1, the power port 2.6 of described detection module 2, the power interface 3.2 of described communication module 3 connects.
Fig. 4 is that the electric lines of force that the present invention detects in device detects the process step figure with recognition methods, and with reference to shown in Fig. 4, electric lines of force detection includes with the process step of recognition methods:
Step one: employing Gaussian smoothing function is to present image, wherein, the image received when present image can be real-time operation, it is also possible to be that the current frame image in one section of video is filtered processing, to obtain the image smoothed；
Step 2: utilize the second order Grad of the smoothed image every some gray value of present image to build Hessian matrix, eigenvalue and characteristic vector to this Hessian matrix are analyzed, obtain the eigenvalue of the Hessian matrix of every, using the eigenvalue characteristic of correspondence vector of maximum absolute value as the normal direction put
；
Step 3: using the eigenvalue of maximum of the Hessian matrix of test point as the curvature intensity of this test point, using the test point of curvature maximum intensity as initiating searches point, calculate its adjacent side point vector direction to Searching point, calculateWithDependency, thus judge whether the smoothed image every bit of present image is test point；
Step 4: determine the angle of the bearing of trend of test point, the angle of the bearing of trend of test point is, by the next curve detection point of this orientation angle search；
Step 5: obtain the curve detection point of the bianry image of current smooth image and connect these curve point with forming curves；
Step 6: judge whether current curves occurs curve to interrupt, and the curve interrupted is attached；Judge whether current curves occurs curve to disappear, and the curve disappeared is attached；
Step 7: judge whether current curves connects accurately, it is judged that whether present image inner curve detects complete and export the curve that connection is correct.
Fig. 5 is the process step figure hanging analyte detection with recognition methods that wafts on the line that the present invention detects in device, as it is shown in figure 5, its process step comprised is:
Step one, video acquisition, obtain video content, to obtain scene image；
Step 2, Image semantic classification, i.e. electric lines of force scene Recognition, for eliminating its impact on background model；
Step 3, zone marker, for background model carries out foreground segmentation, and mark connected region one by one；
Step 4, system mode are safeguarded, for judging the state that detector module is presently in, make respective handling, and do abnormality detection when necessary；
Step 5, region strengthen, and are used for rejecting the false areas such as shade, highlighted and leaf swing；
Step 6, regional split with merge, be used for solving target over-segmentation and the mutual occlusion issue of target.
Step 7, target detection, for splitting the motion target area in video scene from background；
Step 8, target prediction, for estimating the next frame motion of target；
Step 9, object matching, for the stable objects of tracking and matching, and filter some false targets；
Step 10, target update, the template renewal of stable objects in present frame.
Step 11, feature extraction, in order to extract space characteristics and the temporal characteristics of target, wherein:
Described space characteristics includes: the major axis of region contour fitted ellipse, the short axle of region contour fitted ellipse, the short axle of matching and horizontal direction angle, the class circle property of region contour, the degree of compacting in region, the area in region, the upper and lower part area ratio in region；
Described temporal characteristics includes: the velocity characteristic of target；The periodic movement feature of target；The history classification information of target.
Step 12, type decision, in order to judge that the type of target, affair character and space characteristics meet extension thing feature of wafing and be i.e. judged as the extension thing that wafts.
Fig. 6 is the use flow chart that the present invention detects device, and with reference to shown in Fig. 6, its process step comprised is:
The first step, the installation of detection device, near the cross-arm of the steel tower that described detection device 2 is arranged on ultra-high-tension power transmission line on position；
Second step, detection device is attached with the video frequency output of clipping the ball, the video frequency output of high-speed ball-forming machine is linked into the BNC video input interface 1.4 of described detection device；
3rd step, the plant-grid connection of detection device, the power supply input of detection device is 12v direct current, is provided by the solaode being arranged on steel tower；
4th step, detection device is set up with rear end pipe platform software communication, detects after device powers on and can be automatically registered to rear end pipe platform software by wireless 3G, shows that the duty of oneself is online on management platform software；
5th step, is configured the detected rule of detection device, on management platform software can the detected rule followed of remotely located detection device, detection length and width value, the area value of target, periodic quantity of waving mainly are set, wave range value.
6th step, equipment is restarted, and after setting detected rule, needs remote reboot to detect device, sends out reset command by platform software to detection device, and equipment is restarted, and detected rule starts effectively.
7th step, if after completing above-mentioned step, detection device i.e. enters into duty.
Embodiment described above only have expressed embodiments of the present invention, and it describes more detailed, as long as those skilled in the art is after viewing embodiments of the invention, on the premise of present inventive concept, the change made broadly falls into protection scope of the present invention.But embodiment as herein described is it is not intended that limit protection scope of the present invention.
Claims (12)
1. waft on high-tension line an extension analyte detection device, comprising:
Video acquisition module (1), described video acquisition module (1) is primarily directed to ultra-high-tension power transmission line and carries out video data acquiring；
Detection module (2), described detection module (2) is that the data obtained for video acquisition module are analyzed in real time and calculated, and output detections result and relevant vedio data；
Communication module (3), described communication module (3) is that the testing result exported by detection module is uploaded to Surveillance center in real time with relevant vedio data；
Power management module (4), described power management module (4) is described video acquisition module (1), detection module (2), communication module (3) offer working power；
It is characterized in that, described detection module (2) comprises dsp system circuit (2.1) and network communications circuits (2.2), the data-interface of detection module (2) comprises parallel data grabbing card (2.3), 485 serial communication interfaces (2.4), RJ45 network communication interface (2.5), power port (2.6).
Detection device the most according to claim 1, it is characterised in that described dsp system circuit (2.1) comprises DSP signal processing circuit, described DSP signal processing circuit includes core processor, high speed DDR3 internal memory, ROM internal memory.
Detection device the most according to claim 1, it is characterized in that, described video acquisition module (1) comprises analog video Acquisition Circuit, digital high-definition video capture circuit, video channel selection circuit, and the interface of video acquisition module includes BNC video input interface (1.4), parallel data grabbing card (1.5), power port (1.6).
Detection device the most according to claim 1, it is characterized in that, described communication module (3) is provided with wireless, 3G, WIFI circuit (3.3), by described wireless, 3G, WIFI circuit (3.3), testing result and the vedio data of detection module (2) are uploaded to background monitoring center in real time, and receiving the instruction at background monitoring center, the interface of communication module (3) comprises network RJ45 communication interface (3.1), power interface (3.2), antennal interface (3.3).
Detection device the most according to claim 1; it is characterized in that; described power management module (4) comprises power supply input protection circuit (4.1), electric power management circuit (4.2), and the interface of power management module (4) comprises power input interface (4.3), power output interface (4.4).
Detection device the most according to claim 5, it is characterized in that, described video acquisition module (1) is connected with the parallel data grabbing card (2.3) of described detection module (2) by described parallel data grabbing card (1.5), the data form transmitted when the parallel data grabbing card (2.3) of described video acquisition module (1) Yu described detection module (2) uses analog video input, it is then BT656 data, the data form transmitted when the parallel data grabbing card (2.3) of described video acquisition module (1) Yu described detection module (2) uses HD video input, it is then BT1120 data.
Detection device the most according to claim 6, it is characterized in that, the RJ45 network communication interface (2.5) of described detection module (2) is connected with network RJ45 communication interface (3.1) of communication module (3), 485 serial communication interfaces (2.4) of described detection module (2) connect 485 serial line interfaces of clipping the ball, and are controlled the PTZ of clipping the ball or The Cloud Terrace.
8. according to described detection device arbitrary in claim 1 to 7, it is characterized in that, the power input interface (4.3) of described power management module (4) is connected with external power source, the power output interface (4.4) of described power management module (4) respectively with the power port (1.6) of described detection module, the power port (2.6) of described detection module (2), the power interface (3.2) of described communication module (3) is connected.
9. one kind uses the detection method detecting device described in claim 1 to 8, it is characterised in that the process step that described detection method comprises has:
Step one: detection device starts, after described detection device starts, video signal whether is had to input in judging described detection device, when there being video signal input then to enter into second step, when described detection device does not has video signal input Surveillance center the most to the back-end to send the information of video-losing；
Step 2: read in detected rule, described reading detected rule refers to that detecting device setting measuring point to be checked wafts the extension length of thing, area, amplitude of waving, and hunting period；Step 3: gather video module and obtain video scene, described video scene is to be obtained by collection video module (1) output that detection device is built-in, and the dsp system circuit (2.1) that video data is sent to detection module (2) built-in after digital-to-analogue conversion by described collection video module (1) carries out data analysis；
Step 4: high-voltage line detection and identification, video scene is analyzed and judges by described detection device, when identifying high-voltage line, then enter into step 5, when described detection device can not identify high-voltage power line by video scene, then by controlling The Cloud Terrace or clipping the ball replacing scene, return step 3；
Step 5: waft on line extension analyte detection and identification
After described detection device identifies high-voltage power line scene, using this scene as background, carry out target detection and judgement along peripheral region, high-voltage power line direction, when meeting the detected rule target of step 2, be then judged to extension thing existence of wafing；
Step 6: the related data of detection with recognition result is reported to rear end Management software platform；
Step 7: after described detection device completes one-time detection, described detection method reenters step 2, the most repeatedly, goes round and begins again.
Detection method the most according to claim 9, it is characterised in that the step that the detection of described electric lines of force and identification comprise has:
Step one: Image semantic classification, uses Gaussian smoothing function to be filtered present image processing, to obtain the image smoothed, wherein, and the image received when present image can be real-time operation, it is also possible to be the current frame image in one section of video；
Step 2: utilizing the second order Grad of the smoothed image every some gray value of present image to build Hessian matrix, eigenvalue and characteristic vector to this Hessian matrix are analyzed, and obtain eigenvalue of maximum and the normal direction of the Hessian matrix of every；
Step 3: using the eigenvalue of maximum of the Hessian matrix of test point as the curvature intensity of this test point, using the test point of curvature maximum intensity as initiating searches point, the bearing of trend of test point is tried to achieve according to normal direction, and by the next curve detection point of this search；Step 4: obtain the curve detection point of the bianry image of current smooth image and connect these curve point with forming curves；
Step 5: judge whether current curves occurs curve to interrupt, and the curve interrupted is attached；Judge whether current curves occurs curve to disappear, and the curve disappeared is attached；
Step 6: judge whether current curves connects accurately, it is judged that it is complete whether present image inner curve detects, after smoothing processing, output connects correct curve；
Step 7: carry out amplitude judgement to connecting correct curve, it is connected with the interval double high point of curve and obtains straight line, the straight line of one and above-mentioned straight line parallel is obtained in curve minimum point, article two, the distance between straight line is the amplitude of curve, range value will be judged as electric lines of force less than the curve of specific threshold T, threshold value T is configured according to actual power line scene, after detection identifies electric lines of force, current video scene will be identified as power line video scene, can be to its waft extension analyte detection and identification.
11. detection methods according to claim 9, it is characterised in that waft on described line and hang analyte detection and identify that the process step comprised has:
Step one, video acquisition, obtain video content, to obtain scene image；
Step 2, Image semantic classification, for eliminating its impact on background model；
Step 3, zone marker, for background model carries out foreground segmentation, and mark connected region one by one；
Step 4, system mode are safeguarded, for judging the state that detector module is presently in, make respective handling, and do abnormality detection when necessary；
Step 5, region strengthen, and are used for rejecting the false areas such as shade, highlighted and leaf swing；
Step 6, regional split with merge, be used for solving target over-segmentation and the mutual occlusion issue of target；
Step 7, target detection, for splitting the motion target area in video scene from background；
Step 8, target prediction, for estimating the next frame motion of target；
Step 9, object matching, for the stable objects of tracking and matching, and filter some false targets；
Step 10, target update, the template renewal of stable objects in present frame；
Step 11, feature extraction, in order to extract space characteristics and the temporal characteristics of target, wherein, described space characteristics includes: the major axis of region contour fitted ellipse, the short axle of region contour fitted ellipse, the short axle of matching and horizontal direction angle, the class circle property of region contour, the degree of compacting in region, the area in region, the upper and lower part area ratio in region；Described temporal characteristics includes: the velocity characteristic of target；The periodic movement feature of target；The history classification information of target；
Step 12, type decision, in order to judge that the type of target, affair character and space characteristics meet extension thing feature of wafing and be i.e. judged as the extension thing that wafts.
12. 1 kinds comprise the installation method detecting device described in claim 1 ~ 8, it is characterised in that the process step that described installation method includes has:
The first step, the installation of detection device, on the cross-arm of the steel tower that described detection device is arranged on ultra-high-tension power transmission line；
Second step, detection device is attached with the video frequency output of clipping the ball, the video frequency output of high-speed ball-forming machine is linked into the BNC input interface of described detection device；
3rd step, the plant-grid connection of detection device, the power supply input of detection device is 12v direct current, is provided by the solaode being arranged on steel tower；
4th step, detection device is set up with rear end pipe platform software communication, detects after device powers on and can be automatically registered to rear end pipe platform software by wireless 3G, shows that the duty of oneself is online on management platform software；
5th step, is configured the detected rule of detection device, on management platform software can the detected rule followed of remotely located detection device, detection length and width value, the area value of target, periodic quantity of waving mainly are set, wave range value；
6th step, equipment is restarted, and after setting detected rule, needs remote reboot to detect device, sends out reset command by platform software to detection device, and equipment is restarted, and detected rule starts effectively.
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