CN108174111A - Crusing robot target image grasping means - Google Patents
Crusing robot target image grasping means Download PDFInfo
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- CN108174111A CN108174111A CN201810354614.8A CN201810354614A CN108174111A CN 108174111 A CN108174111 A CN 108174111A CN 201810354614 A CN201810354614 A CN 201810354614A CN 108174111 A CN108174111 A CN 108174111A
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- 238000007689 inspection Methods 0.000 claims abstract description 69
- 238000000605 extraction Methods 0.000 claims abstract description 11
- 238000000034 method Methods 0.000 claims description 5
- 238000010835 comparative analysis Methods 0.000 claims description 4
- 230000002045 lasting effect Effects 0.000 abstract description 3
- 238000012423 maintenance Methods 0.000 abstract description 3
- 238000012544 monitoring process Methods 0.000 abstract description 3
- 230000001419 dependent effect Effects 0.000 abstract description 2
- 230000000737 periodic effect Effects 0.000 abstract description 2
- 238000010586 diagram Methods 0.000 description 4
- 238000012163 sequencing technique Methods 0.000 description 3
- 238000005299 abrasion Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000001186 cumulative effect Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/60—Control of cameras or camera modules
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/255—Detecting or recognising potential candidate objects based on visual cues, e.g. shapes
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
-
- 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
- H04N7/183—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a single remote source
- H04N7/185—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a single remote source from a mobile camera, e.g. for remote control
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- Engineering & Computer Science (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Image Processing (AREA)
- Manipulator (AREA)
Abstract
The present invention relates to a kind of crusing robot target image grasping means, including：1）Crusing robot runs to assigned target position, the target reference picture of photographic subjects object；2）When crusing robot moves inspection, it is continuously shot inspection image；3）Crusing robot compares and analyzes inspection image with target reference picture, if inspection image is overlapped with target reference picture, crusing robot is using the inspection image as target image.The present invention can solve crusing robot be completely dependent on travel distance positioning when, due to wheel slip, wear the problem of positioning accuracy occurred is poor, it can realize picture of the extraction available for instrumental analysis from the multiple image of lasting camera shooting, meet crusing robot image identification positioning accuracy request；It can be achieved to shoot without pausing and without periodic calibration, reduce monitoring time, improve routing inspection efficiency, reduce the workload of operation maintenance personnel.
Description
Technical field
The present invention relates to robot field, especially a kind of crusing robot target image grasping means.
Background technology
Interior distribution station is as power grid end, and large number of, inspection pressure is huge, and the appearance of rail mounted crusing robot is big
The big inspection problem for alleviating interior distribution station.In order to carry out inspection to indoor electric equipment, it usually needs preset inspection
Target formulates inspection route, setting patrol task.When crusing robot performs patrol task, run to and patrol according to inspection route
Target location is examined, by included shooting unit photographic subjects object after stopping, is then proceeded to next inspection target location
It moves, in motion process, robot carries out automatic identification to the target shot before without picture, reads and backs up meter therein
Numerical value or position of the switch information.
However it is this stop the mode taken pictures in object corresponding position, routing inspection efficiency is relatively low；And since machinery is beaten
Sliding, abrasion or movement cumulative errors, can cause stop position to generate offset, and then influence shooting effect or even influence to patrol
Examine the normal inspection of robot.
Invention content
The technical problem to be solved by the present invention is to：A kind of crusing robot target image grasping means is proposed, to solve to patrol
Inspection robot be completely dependent on travel distance positioning when, due to wheel slip, abrasion occur positioning accuracy it is poor the problem of, it can be achieved that
It is shot without pausing and without periodic calibration, reduces monitoring time, improves routing inspection efficiency, reduce the workload of operation maintenance personnel.
The technical solution adopted in the present invention is：A kind of crusing robot target image grasping means, includes the following steps：
1）Crusing robot runs to assigned target position, the target reference picture of photographic subjects object；
2）When crusing robot moves inspection, it is continuously shot inspection image；
3）Crusing robot compares and analyzes inspection image with target reference picture, if inspection image and object reference figure
As overlapping, then crusing robot is using the inspection image as target image.
Step 3 of the present invention）In, inspection image is overlapped with target reference picture as inspection image and object reference figure
The key feature object of picture overlaps, and the key feature object includes cabinet in, cabinet angle, artificial target, instrument sideline or angle, nameplate
Line or angle, centre of figure point or focus point.
Further, the acquisition methods of key feature object of the present invention include：
A, tri- single channel figures of RGB corresponding to picture are obtained；
B, according to different device types, corresponding single channel figure is chosen；
C, according to different device types, corresponding thresholding is chosen, thresholding extraction then is carried out to single channel figure, thresholding is obtained and carries
Take figure；
D, maximum connected domain is obtained from thresholding extraction figure；
E, the connected domain is filled；
F, the connected domain profile of filling is obtained, and then obtains the key feature object of profile.
Step 1 of the present invention）In, crusing robot is during assigned target position is run to, according to fixed intervals
Shooting walking reference picture；The fixed intervals include Fixed Time Interval or fixed range interval；Walking reference picture and mesh
Mark reference picture establishes path image arrangement according to the sequencing of photo opporunity.
Step 2 of the present invention）In, when crusing robot carries out mobile inspection, inspection image is continuously shot, the inspection figure
As not only with target reference picture comparative analysis, also with walk reference picture comparative analysis, if inspection image with walking image
It overlaps, then the crusing robot reaches the walking image position in path image arrangement.
When crusing robot determines the position currently in path image arrangement, crusing robot is from assigned target position
When farther out, the higher speed of travel is taken；When crusing robot is nearer from assigned target position, slower walking speed is taken
Degree.
Crusing robot is nearer from assigned target position, and crusing robot is reached from current location according to the current speed of travel
The time of assigned target position carries out the identification of inspection image, feedback and the time acted, but be no more than and patrol more than crusing robot
It examines twice that robot carries out the time of the identification of inspection image, feedback and action；Crusing robot from assigned target position farther out,
Crusing robot reaches the time of assigned target position from current location according to the current speed of travel, is carried out more than crusing robot
The identification of inspection image, feed back and act more than twice of time.
Crusing robot carries out the identification of inspection image, feedback and the time acted, identifies, feeds back and moves including 2 images
The time of work.
When crusing robot of the present invention is reached before and after assigned target position, crusing robot under current movement speed,
Shooting speed can make in the inspection image being continuously shot, and at least one overlaps with target reference picture.
The beneficial effects of the invention are as follows：Inspection is carried out using the present invention, is realized by lasting camera shooting and is shot without pausing, is expert at
Captured picture is compared and analyzed after walking road, homeward journey even recurrence origin, so as to reduce monitoring time, improve and patrol
Examine efficiency；Equally, it positions and calibrates without the front and rear phase, reduce the workload of operation maintenance personnel, reduce system complexity；It can be real
Now picture of the extraction available for instrumental analysis from the multiple image of lasting camera shooting meets crusing robot image identification positioning accurate
Degree requirement.
Description of the drawings
The present invention is further described with reference to the accompanying drawings and examples.
Fig. 1 is the flow diagram of the present invention.
Fig. 2 is the key feature object acquisition methods flow diagram of the present invention.
Fig. 3 is original image（Reference picture）.
Fig. 4 is original image（Inspection picture）.
Fig. 5 is the passage layered figures of R（Reference picture）.
Fig. 6 is thresholding extraction figure（Reference picture R channels）.
Fig. 7 is largest connected domain figure（Reference picture R channels）.
Fig. 8 is connected domain blank map（Reference picture R channels）.
Fig. 9 is connected domain profile diagram（Reference picture R channels）.
Figure 10 is profile key feature object figure（Reference picture R channels）.
Figure 11 is center point coordinate calculating figure（Reference picture）.
Figure 12 is center point coordinate calculating figure（Inspection picture）.
Specific embodiment
Presently in connection with attached drawing and preferred embodiment, the present invention is described in further detail.These attached drawings are simplified
Schematic diagram only illustrates the basic structure of the present invention, therefore it only shows composition related to the present invention in a schematic way.
A kind of crusing robot target image grasping means as shown in Figure 1, including,
1st, crusing robot runs to assigned target position, the target reference picture of photographic subjects object；Crusing robot is being walked
To assigned target position, walking reference picture is shot according to fixed intervals.The fixed intervals were included between the set time
Every or fixed range interval.Walking reference picture and target reference picture establish path image according to the sequencing of photo opporunity
Arrangement.Crusing robot is nearer from assigned target position, refers to that crusing robot reaches predeterminated target according to the current speed of travel
The time of position carries out the identification of inspection image, feedback and the time acted, but no more than crusing robot more than crusing robot
Carry out twice of the time of the identification of inspection image, feedback and action.
2nd, when crusing robot carries out mobile inspection, inspection image is continuously shot, if inspection image and walking image weight
It closes, then the crusing robot reaches the walking image position in path image arrangement.Crusing robot reaches predeterminated target
When before and after position, under current movement speed, shooting speed can make in the inspection image being continuously shot crusing robot, until
Rare one overlaps with target reference picture.
3rd, crusing robot compares and analyzes inspection image and target reference picture, calculates object in inspection image
Coordinate position of the key feature object in inspection image.Compare the key feature object of object in inspection image in inspection image
In coordinate position and target reference picture in same object coordinate of the same a key feature object in target reference picture
Whether position overlaps.If overlapped, show that inspection image is overlapped with target reference picture, then crusing robot is by the inspection figure
As being used as target image.
Shown in Fig. 3 is that crusing robot runs to assigned target position, the target reference picture of the object taken；
Crusing robot can shoot walking reference picture during assigned target position is run to according to fixed intervals.Shooting row
The purpose for walking reference picture is to determine optimal target location；So as to shoot best target reference picture；Meanwhile it walks
Reference picture and target reference picture can establish path image arrangement according to the sequencing of photo opporunity；And establish path image
The purpose of arrangement is to judge distance of the crusing robot from assigned target position；As crusing robot runs to predeterminated target
During position, according to 1 meter apart from multiple walking reference pictures of interval shooting；It is assumed that optimum photographing position, i.e., predetermined mesh
Cursor position is apart from the position of 10 meters of far point, then the 10th walking reference picture is target reference picture.
When crusing robot moves inspection, inspection image is continuously shot, inspection image is not only compared with target reference picture
Analysis, also with walk reference picture comparative analysis.It can determine crusing robot from predeterminated target with the comparison of walking reference picture
The distance of position.When crusing robot determines the position currently in path image arrangement, crusing robot is from predeterminated target
Position farther out when, take the higher speed of travel；When crusing robot is nearer from assigned target position, slower walking is taken
Speed.
Inspection image is as shown in Figure 4；Due to the object of shooting（That is equipment）Background color differ, therefore, according to
Different device types chooses clarity and the passage layered figures of the highest R of contrast, as shown in Figure 5；Due to view be only it is black
White color system, therefore applicant does the virtualization processing of image to illustrate herein.
As shown in Fig. 2, the method for obtaining the key feature object of object in inspection image is as follows：
I. tri- single channel figures of RGB corresponding to picture are obtained；
II. according to different device types, corresponding single channel figure is chosen；
III. according to different device types, corresponding thresholding is chosen, thresholding extraction then is carried out to single channel figure, obtains thresholding
Extraction figure；As shown in Figure 6；
IV. maximum connected domain is obtained from thresholding extraction figure；As shown in Figure 7；
V. the connected domain is filled；As shown in Figure 8；
VI. the connected domain profile of filling is obtained, as shown in Figure 9；And then the key feature object of profile, i.e. centre of figure point are obtained,
As shown in Figure 10.
Figure 11 is the center point coordinate calculating figure of reference picture；Figure 12 is inspection center picture point coordinates calculating figure.
The specific embodiment of the only present invention described in description above, various illustrations are not to the reality of the present invention
Matter Composition of contents limits, and person of an ordinary skill in the technical field can be to described in the past specific after specification has been read
Embodiment is made an amendment or is deformed, without departing from the spirit and scope of the invention.
Claims (7)
1. a kind of crusing robot target image grasping means, it is characterised in that include the following steps：
1）Crusing robot runs to assigned target position, the target reference picture of photographic subjects object；
2）When crusing robot moves inspection, it is continuously shot inspection image；
3）Crusing robot compares and analyzes inspection image with target reference picture, if inspection image and object reference figure
As overlapping, then crusing robot is using the inspection image as target image；
The step 3）In, inspection image overlaps special for the key of inspection image and target reference picture with target reference picture
It levies object to overlap, the key feature object includes cabinet side, cabinet angle, artificial target, instrument sideline or angle, nameplate sideline or angle, figure
Shape central point or focus point；
The acquisition methods of the key feature object include：
A, tri- single channel figures of RGB corresponding to picture are obtained；
B, corresponding single channel figure is chosen；It is required that selection clarity and that highest channel of contrast；
C, corresponding thresholding is chosen, thresholding extraction then is carried out to single channel figure, obtains thresholding extraction figure；
D, maximum connected domain is obtained from thresholding extraction figure；
E, the connected domain is filled；
F, the connected domain profile of filling is obtained, and then obtains the key feature object of profile.
2. crusing robot target image grasping means as described in claim 1, it is characterised in that：The step 1）In, it patrols
Robot is examined during assigned target position is run to, walking reference picture is shot according to fixed intervals；The fixed intervals
Including Fixed Time Interval or fixed range interval；Walking reference picture and target reference picture are suitable according to the priority of photo opporunity
Sequence establishes path image arrangement.
3. crusing robot target image grasping means as claimed in claim 2, it is characterised in that：The crusing robot into
During row movement inspection, inspection image is continuously shot, which not only with target reference picture comparative analysis, also joins with walking
Image comparison analysis is examined, if inspection image is overlapped with walking reference picture, which reaches path image arrangement
In the walking reference picture position.
4. crusing robot target image grasping means as claimed in claim 3, it is characterised in that：When crusing robot determines
The currently position in path image arrangement, crusing robot take higher walking speed when from assigned target position farther out
Degree；When crusing robot is nearer from assigned target position, the slower speed of travel is taken.
5. crusing robot target image grasping means as claimed in claim 4, it is characterised in that：Crusing robot is from predetermined
Target location is nearer, and crusing robot reaches the time of assigned target position from current location according to the current speed of travel, is more than
Crusing robot carries out the identification of inspection image, feedback and the time acted, but carries out inspection image knowledge no more than crusing robot
Not, twice of the time fed back and acted；Crusing robot from assigned target position farther out, from current location press by crusing robot
The time of assigned target position is reached according to the current speed of travel, the identification of inspection image is carried out more than crusing robot, feeds back and move
More than twice of the time of work.
6. crusing robot target image grasping means as claimed in claim 5, it is characterised in that：Crusing robot is patrolled
The identification of inspection image, the time fed back and acted, including 2 image identifications, the times fed back and acted.
7. crusing robot target image grasping means as described in claim 1, it is characterised in that：Crusing robot reaches pre-
When setting the goal before and after position, for crusing robot under current movement speed, shooting speed can make the inspection figure being continuously shot
As in, at least one overlaps with target reference picture.
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| CN201810354614.8A CN108174111B (en) | 2018-04-19 | 2018-04-19 | Crusing robot target image grasping means |
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| CN111176305A (en) * | 2020-04-14 | 2020-05-19 | 常州市盈能电气有限公司 | Visual navigation method |
| CN111324131A (en) * | 2020-03-31 | 2020-06-23 | 中通服创立信息科技有限责任公司 | Following monitoring method of track type inspection robot based on human body radar |
| CN111860242A (en) * | 2020-07-07 | 2020-10-30 | 北京海益同展信息科技有限公司 | Robot inspection method and device and computer readable medium |
| CN114407005A (en) * | 2021-12-02 | 2022-04-29 | 国能铁路装备有限责任公司 | Robot and walking control method and device thereof |
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Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110248155A (en) * | 2019-05-16 | 2019-09-17 | 普瑞特机械制造股份有限公司 | A kind of tank deck job management method and system |
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| CN111324131B (en) * | 2020-03-31 | 2023-09-01 | 中通服创立信息科技有限责任公司 | Tracking monitoring method of track type inspection robot based on human body radar |
| CN111176305A (en) * | 2020-04-14 | 2020-05-19 | 常州市盈能电气有限公司 | Visual navigation method |
| CN111860242A (en) * | 2020-07-07 | 2020-10-30 | 北京海益同展信息科技有限公司 | Robot inspection method and device and computer readable medium |
| CN111860242B (en) * | 2020-07-07 | 2024-05-21 | 京东科技信息技术有限公司 | Robot inspection method, device and computer readable medium |
| CN114407005A (en) * | 2021-12-02 | 2022-04-29 | 国能铁路装备有限责任公司 | Robot and walking control method and device thereof |
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| CN108174111B (en) | 2018-07-20 |
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Denomination of invention: Target Image Grasping Method for Inspection Robot Granted publication date: 20180720 Pledgee: Bank of Jiangsu Co.,Ltd. Changzhou Branch Pledgor: CHANGZHOU YNEN ELECTRICAL Co.,Ltd. Registration number: Y2024980023215 |