CN107476151A - Point tongue based on image recognition is creeped quantity monitoring method, device and its system - Google Patents
Point tongue based on image recognition is creeped quantity monitoring method, device and its system Download PDFInfo
- Publication number
- CN107476151A CN107476151A CN201710719956.0A CN201710719956A CN107476151A CN 107476151 A CN107476151 A CN 107476151A CN 201710719956 A CN201710719956 A CN 201710719956A CN 107476151 A CN107476151 A CN 107476151A
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- Prior art keywords
- point tongue
- point
- creeping
- amount
- monitor area
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Classifications
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- E—FIXED CONSTRUCTIONS
- E01—CONSTRUCTION OF ROADS, RAILWAYS, OR BRIDGES
- E01B—PERMANENT WAY; PERMANENT-WAY TOOLS; MACHINES FOR MAKING RAILWAYS OF ALL KINDS
- E01B35/00—Applications of measuring apparatus or devices for track-building purposes
- E01B35/12—Applications of measuring apparatus or devices for track-building purposes for measuring movement of the track or of the components thereof under rolling loads, e.g. depression of sleepers, increase of gauge
-
- 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
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- Engineering & Computer Science (AREA)
- Architecture (AREA)
- Civil Engineering (AREA)
- Structural Engineering (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Image Analysis (AREA)
Abstract
The present invention relates to monitoring technology field, disclose the point tongue based on image recognition and creep quantity monitoring method, device and its system, wherein, this method includes：The monitor area of selected harvester collection, monitor area include point tongue tip, are adjacent to the scale of point tongue placement；Obtain the shared distance m of unit pixel points；Using the crest line at point tongue tip as the first marking line, pixel number N1 of the sophisticated crest line of point tongue apart from the monitor area boundary line is obtained；If point tongue has the amount of creeping, in monitor area, using the crest line at current point tongue tip as the second marking line, pixel number N2 of the sophisticated crest line of point tongue apart from the monitor area boundary line is obtained；The calculating formula of the point tongue amount of creeping：N=(N2 N1) × m, and then accurate measurement can be realized to the point tongue amount of creeping under free from the influence of the external environment.
Description
Technical field
The present invention relates to monitoring technology field, more particularly to point tongue based on image recognition creep quantity monitoring method,
Device and its system.
Background technology
Track switch as driving one of visual plant, its reliability of operation and stability for driving safety and it is unobstructed extremely
Close important, tongue and heart rail are responsible for the important function for changing current of traffic as track switch movable part.
The point tongue amount of creeping refers to length travel of the point tongue relative to stock rail, and the tongue amount of creeping is as track switch
Important duty parameter, the amount of creeping of point tongue is grasped in real time, and adjust track switch by the Rational Parameters, can strengthen and arrange at a high speed
Ride comfort and security when car passes through track switch, reduce due to creep it is exceeded caused by stoppage in transit event of the track switch without clearing signal,
The orderly operation of safe operation, circuit for track switch plays an important role.
Track switch attendant is essentially relying on stock rail and creeped reference marker by paint marks point tongue at present, scene
Verification tongue front end and the distance of the reference marker of creeping on stock rail manually obtain the tongue amount of creeping.
Manually the amount of creeping is obtained by reference to mark point to have the following disadvantages：Train is lifted or runed interval contracting by speed
It is short so that attendant can only be overhauled on skylight point, be usually unable to upper track, that is, creeping for skylight point can only be obtained
Amount, the amount of creeping of other times section can not obtain；And by work on the spot environmental constraints, manually obtained by reference to mark point measurement
Take accuracy of measurement of creeping low.
Moreover, the existing amount of creeping monitoring is monitored using sensor gathered data, monitor easily by objective ring
The influence in border, can not accurate measurement.
Therefore, the amount of creeping monitoring is easily influenceed by objective environment in the prior art, can not accurate measurement.
The content of the invention
The present invention solves the technical problem of the monitoring of the amount of creeping in the prior art easily to be influenceed by objective environment,
Can not accurate measurement.
Thus the point tongue based on image recognition is provided to creep quantity monitoring method, apparatus and system, can be effectively right
The amount of creeping of point tongue is monitored, and not protected from environmental.
In order to solve the above technical problems, one aspect of the present invention is：Point tongue based on image recognition
Creep quantity monitoring method, including following content：
The monitor area of selected harvester collection, the monitor area include point tongue tip, are adjacent to point tongue
The scale of placement；
Obtain the shared distance m of the unit pixel points；
Using the crest line at point tongue tip as the first marking line, the crest line at point tongue tip is obtained apart from the monitoring
The pixel number N1 in regional edge boundary line；
If point tongue has the amount of creeping, in the monitor area, the crest line at current point tongue tip is regard as the
Two marking lines, obtain the pixel number N2 of the crest line apart from the monitor area boundary line at point tongue tip；
The calculating formula of the point tongue amount of creeping：N=(N2-N1) × m.
Further, the harvester specifically includes the industrial area array cameras for being respectively facing point tongue both sides.
Further, the pixel number on the acquisition scale in unit distance is specially：
According to the pixel number n chosen on the scale in pre-determined distance M, and the acquisition pre-determined distance M, obtain
The shared distance m=M/n of the unit pixel points.
Further, the crest line at the point tongue tip is specially the crest line on the inside or outside of point tongue..
The present invention also provides another technical scheme：The point tongue amount of creeping monitoring device based on image recognition, including：
Region chosen module, for selecting the monitor area of harvester collection, the monitor area includes point tongue
Tip, it is close to the scale of point tongue placement；
First acquisition module, for obtaining the distance m shared by the unit pixel point；
Second acquisition module, for using the crest line at point tongue tip as the first marking line, obtaining point tongue tip
Crest line apart from the monitor area boundary line pixel number N1；
3rd acquisition module, for when point tongue has the amount of creeping, in the monitor area, by current point tongue
The crest line at tip is as the second marking line, the pixel number of monitor area boundary line described in acquisition point tongue distance between two tips
N2；
Computing module, for calculating the amount of creeping N, N=(N2-N1) × m of point tongue.
Further, first acquisition module is specifically used for according to the selection pre-determined distance M on the scale, and obtains
The pixel number n in the pre-determined distance M is taken, obtains the unit pixel points shared distance m, m=M/n.
The present invention also provides the point tongue amount of the creeping monitoring system based on image recognition, including：
Harvester, for gathering point tongue tip positioned at the image information being close on the scale of point tongue placement；
The above-mentioned point tongue amount of the creeping monitoring device based on image recognition, the point tongue amount of the creeping monitoring device are led to
Cross netting twine and connect the harvester；
Interchanger, it is connected by netting twine with the point tongue amount of the creeping monitoring device；
Warning device, it is connected by netting twine or optical fiber with interchanger, the point tongue for being obtained according to monitoring device is climbed
Row amount N, judges whether the point tongue amount of the creeping N exceedes preset value, when more than preset value, is alarmed.
Further, the harvester, which specifically includes, is arranged on the centre rail guidance tape of railroad turnout steel rail station track, and court respectively
To the face battle array industrial camera of the point of switch of track switch both sides.
The beneficial effects of the invention are as follows：It is different from the situation of prior art：
1st, during the point tongue based on image recognition creeps quantity monitoring method or device, marked using being placed in point tongue
Chi, the monitored area where harvester gathers point tongue, the shared distance m of unit pixel points is obtained, then by road
The crest line of the trouble point of switch is as the first marking line, the pixel in the crest line distance detection regional edge boundary line at acquisition point tongue tip
Point number N1, if point tongue has the amount of creeping, in monitor area, using the crest line at current point tongue tip as the second mark
Line is noted, obtains the pixel number N2 in the crest line distance detection regional edge boundary line at point tongue tip, finally, the point tongue is climbed
The calculating formula of row amount：N=(N2-N1) × m, and then accurate measurement can be realized under free from the influence of the external environment.
2nd, in the point tongue amount of the creeping monitoring system based on image recognition, using harvester, monitoring device, friendship
Change planes and warning device is sequentially connected, when the picture that monitoring device collects according to harvester is analyzed, obtain track switch
The tongue amount of creeping, and judgement is monitored to the point tongue amount of creeping by warning device, and surpass in the point tongue amount of creeping
When crossing preset value, alarmed, and then railway traffic accident caused by can avoiding the point tongue amount of creeping larger in time.
Brief description of the drawings
Fig. 1 be in the embodiment of the present invention point tongue based on image recognition creep quantity monitoring method step flow diagram
It is intended to；
Fig. 2 is the schematic diagram of the monitor area that harvester collects in the embodiment of the present invention；
Fig. 3 is the module diagram of the point tongue amount of the creeping monitoring device based on image recognition in the embodiment of the present invention；
Fig. 4 is the structural representation of the point tongue amount of the creeping monitoring system based on image recognition in the embodiment of the present invention.
Embodiment
The present invention solves the technical problem of the monitoring of the amount of creeping in the prior art easily to be influenceed by objective environment,
Can not accurate measurement.
The point tongue based on image recognition is thus provided to creep quantity monitoring method, apparatus and system, can be effectively to road
The amount of creeping of switch blade rail is monitored, and not protected from environmental.
In order to solve the above-mentioned technical problem, the present invention is described in detail by following examples combination Figure of description.
Creeped quantity monitoring method the invention provides the point tongue based on image recognition, as shown in figure 1, including：S101,
The monitor area of selected harvester collection, the monitor area include point tongue tip, are adjacent to the scale of point tongue placement；
S102, obtain the shared distance m of unit pixel points；S103, using the crest line at point tongue tip as the first marking line, obtain
Pixel number N1 of the crest line at point tongue tip apart from the monitor area boundary line；S104, if point tongue has the amount of creeping
When, in the monitor area, using the crest line at current point tongue tip as the second marking line, obtain the sophisticated rib of point tongue
The pixel number N2 of the linear distance monitor area boundary line；S105, the calculating formula of the point tongue amount of creeping：N=(N2-N1) ×
m。
In specific embodiment, the harvester specifically includes the industrial face for the point of switch for being respectively facing track switch both sides
Array camera.Specifically, the light source being correspondingly arranged with industrial area array cameras is also included in the harvester, in the support of the light source
Under, the industrial area array cameras can in the case of whole day 24h continuous firing.The harvester is arranged at railroad turnout steel rail station track center
On track plates, and the industrial area array cameras of left and right setting can monitor the amount of creeping of the point tongue of respective side respectively.
In above-mentioned S101, selected monitor area can be all visible view areas of industrial area array cameras, certainly,
The region selected in the visible view area that can be industrial area array cameras, as shown in Figure 2.It is necessary in the monitor area
Include point tongue tip, and be close to the scale of point tongue placement.It is easy to industrial area array cameras when collecting image,
Can accurately it analyze.
Then, in S102, the shared distance m of unit pixel points is obtained, it is specifically, default according to being chosen on scale
Distance M, and the pixel number n in pre-determined distance M is obtained, obtain the shared distance m=M/n of unit pixel points.
In S103 and S104, the image before and after point tongue is creeped is obtained respectively, road switch blade is then obtained from image
The pixel number in the crest line distance detection regional edge boundary line at rail tip, before there is the amount of creeping at point tongue tip, by track switch
The crest line of the point of switch is as the first marking line, using the crest line at current point tongue tip as second after having the amount of creeping
Marking line, so as to be exactly to calculate the distance between the first marking line and the second marking line, specifically, according to the first marking line distance
The pixel number N1 of monitor area boundary line, pixel number of second marking line apart from same monitor area boundary line
N2, then further according to the unit pixel point of above-mentioned acquisition shared by distance m, obtain the point tongue amount of creeping N, N=(N2-N1) ×
m.Wherein, the crest line at point tongue tip can be specifically point tongue tip inner side L or outside W crest line, such as Fig. 2 institutes
Show.
Based on identical inventive concept, present invention also offers the point tongue amount of creeping based on image recognition to monitor dress
Put, as shown in figure 3, including：Region chosen module 301, for selecting the monitor area of harvester collection, monitor area includes
Point tongue tip, it is close to the scale of point tongue placement；First acquisition module 302, for obtaining the unit pixel point institute
The distance m accounted for；Second acquisition module 303, for using the crest line at point tongue tip as the first marking line, obtaining point tongue
Pixel number N1 of the crest line at tip apart from the monitor area boundary line；3rd acquisition module 304, in point tongue
When having the amount of creeping, in monitor area, using the crest line at current point tongue tip as the second marking line, point tongue point is obtained
Hold the pixel number N2 apart from the monitor area boundary line；Computing module 305, for calculating the amount of the creeping N of point tongue,
N=(N2-N1) × m.
Specifically, first acquisition module 302 chooses pre-determined distance specifically for basis on scale, and obtains default
Pixel number n in distance M, obtain unit pixel points shared distance m, m=M/n.
Specific elaboration is similar with the above method, is just no longer described in detail in embodiments of the present invention.
Based on identical inventive concept, the embodiment of the present invention additionally provides the point tongue amount of the creeping prison based on image recognition
Examining system, as shown in figure 4, including：Harvester 401, for gather point tongue tip positioned at be close to point tongue placement
Image information on scale；The above-mentioned point tongue amount of the creeping monitoring device 402 based on image recognition, the point tongue amount of creeping
Monitoring device 402 connects harvester 401 by netting twine；Interchanger 403, filled by netting twine and the point tongue amount of creeping monitoring
Put 402 connections；Warning device 404, it is connected by netting twine or optical fiber with interchanger 403, for what is obtained according to monitoring device 402
The point tongue amount of creeping N, judges whether the point tongue amount of creeping N exceedes preset value, when more than preset value, is alarmed.
Due to using the warning device 404, switch breakdown can be effectively avoided to cause the accident of withdrawal of train to occur.
The 1mm displacement amount of creeping can be identified using video image monitoring, the point of switch can be monitored in ± 60mm models
Enclose interior displacement of creeping, monitoring error is small, and monitoring range is wide, for the point tongue amount of creeping statistics with analyze the science that provides according to
According to.
Specifically, harvester 401 is arranged on the centre rail guidance tape of railroad turnout steel rail station track, including is respectively facing track switch both sides
The point of switch face battle array industrial camera, the image of the point of switch of track switch both sides can be gathered.Due to by the harvester 401
It is arranged on the railroad turnout steel rail station track centre rail guidance tape, without punching installation on rail, steel-rail structure will not be destroyed, do not influenceed
The safety of driving.Moreover, it is used in combination using light source and face battle array industrial camera so that under the support of light source, detection means
Can in the case of whole day 24h is round-the-clock continuous firing.
Embodiments of the invention are the foregoing is only, are not intended to limit the scope of the invention, it is every to utilize this hair
The equivalent structure or equivalent flow conversion that bright specification and accompanying drawing content are made, or directly or indirectly it is used in other related skills
Art field, is included within the scope of the present invention.
Claims (8)
- The quantity monitoring method 1. point tongue based on image recognition is creeped, it is characterised in that including following content：The monitor area of selected harvester collection, the monitor area include point tongue tip, are adjacent to point tongue placement Scale；Obtain the shared distance m of unit pixel points；Using the crest line at point tongue tip as the first marking line, the crest line at point tongue tip is obtained apart from the monitor area The pixel number N1 of boundary line；If point tongue has the amount of creeping, in the monitor area, using the crest line at current point tongue tip as the second mark Line is noted, obtains the pixel number N2 of the crest line apart from the monitor area boundary line at point tongue tip；The calculating formula of the point tongue amount of creeping：N=(N2-N1) × m.
- The quantity monitoring method 2. point tongue according to claim 1 based on image recognition is creeped, it is characterised in that described Harvester specifically includes the industrial area array cameras for the point of switch for being respectively facing track switch both sides.
- The quantity monitoring method 3. point tongue according to claim 1 based on image recognition is creeped, it is characterised in that obtain Pixel number on the scale in unit distance is specially：According to the selection pre-determined distance M on the scale, and the pixel number n in the pre-determined distance M is obtained, described in acquisition The shared distance m=M/n of unit pixel points.
- The quantity monitoring method 4. point tongue according to claim 1 based on image recognition is creeped, it is characterised in that described The crest line at point tongue tip is specially the crest line positioned at point tongue tip inner or outer side.
- 5. the point tongue amount of the creeping monitoring device based on image recognition, it is characterised in that including：Region chosen module, for selecting the monitor area of harvester collection, the monitor area includes point tongue tip, It is close to the scale of point tongue placement；First acquisition module, for obtaining the distance m shared by the unit pixel point；Second acquisition module, for using the crest line at point tongue tip as the first marking line, obtaining the sophisticated rib of point tongue The pixel number N1 of monitor area boundary line described in linear distance；3rd acquisition module, for when point tongue has the amount of creeping, in the monitor area, by current point tongue tip Crest line as the second marking line, obtain the pixel number N2 of monitor area boundary line described in point tongue distance between two tips；For calculating the amount of creeping N, N=(N2-N1) × m of point tongue.
- 6. the point tongue amount of the creeping monitoring device according to claim 5 based on image recognition, it is characterised in that described First acquisition module is specifically used for according to the picture chosen on the scale in pre-determined distance M, and the acquisition pre-determined distance M Vegetarian refreshments number n, obtain unit pixel points shared distance m, m=M/n.
- 7. the point tongue amount of the creeping monitoring system based on image recognition, it is characterised in that including：Harvester, for gathering point tongue tip positioned at the image information being close on the scale of point tongue placement；The point tongue amount of the creeping monitoring device based on image recognition in the claims 5 or 6, the point tongue are creeped Amount monitoring device connects the harvester by netting twine；Interchanger, it is connected by netting twine with the point tongue amount of the creeping monitoring device；Warning device, it is connected by netting twine or optical fiber with interchanger, for the point tongue amount of creeping obtained according to monitoring device N, judges whether the point tongue amount of the creeping N exceedes preset value, when more than preset value, is alarmed.
- 8. the point tongue amount of the creeping monitoring system according to claim 7 based on image recognition, it is characterised in that described Harvester is arranged on the centre rail guidance tape of railroad turnout steel rail station track, including is respectively facing the face battle array work of the point of switch of track switch both sides Industry camera.
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| CN201710719956.0A CN107476151A (en) | 2017-08-21 | 2017-08-21 | Point tongue based on image recognition is creeped quantity monitoring method, device and its system |
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| CN201710719956.0A CN107476151A (en) | 2017-08-21 | 2017-08-21 | Point tongue based on image recognition is creeped quantity monitoring method, device and its system |
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110422199A (en) * | 2019-07-12 | 2019-11-08 | 大连理工大学 | Tongue is longitudinally creeped and closely connected gap integration method for real-time measurement |
| CN111144235A (en) * | 2019-12-10 | 2020-05-12 | 通控研究院(安徽)有限公司 | Video-based switch blade crawling monitoring method |
| CN111311590A (en) * | 2020-03-06 | 2020-06-19 | 通控研究院(安徽)有限公司 | Turnout switch point tightness detection method based on image detection technology |
| CN111439289A (en) * | 2020-04-21 | 2020-07-24 | 神华包神铁路集团有限责任公司 | Switch rail crawling monitoring system and switch rail crawling monitoring method |
| CN114132360A (en) * | 2021-11-08 | 2022-03-04 | 卡斯柯信号有限公司 | Anti-pinch method, equipment and storage medium for discriminating switch state based on image |
| CN114312905A (en) * | 2021-11-25 | 2022-04-12 | 广州智为科技发展有限公司 | Switch point rail form image real-time supervision device |
| CN115574724A (en) * | 2022-11-15 | 2023-01-06 | 西南交通大学 | Railway turnout movable steel rail displacement monitoring device, monitoring method and evaluation method |
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Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110422199B (en) * | 2019-07-12 | 2020-06-12 | 大连理工大学 | Integrated real-time measuring method for longitudinal crawling and close-fitting clearance of switch rail |
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| CN111144235B (en) * | 2019-12-10 | 2023-06-02 | 通控研究院(安徽)有限公司 | Switch tongue track crawling monitoring method based on video |
| CN111144235A (en) * | 2019-12-10 | 2020-05-12 | 通控研究院(安徽)有限公司 | Video-based switch blade crawling monitoring method |
| CN111311590A (en) * | 2020-03-06 | 2020-06-19 | 通控研究院(安徽)有限公司 | Turnout switch point tightness detection method based on image detection technology |
| CN111311590B (en) * | 2020-03-06 | 2023-11-21 | 通控研究院(安徽)有限公司 | Switch point contact degree detection method based on image detection technology |
| CN111439289A (en) * | 2020-04-21 | 2020-07-24 | 神华包神铁路集团有限责任公司 | Switch rail crawling monitoring system and switch rail crawling monitoring method |
| CN111439289B (en) * | 2020-04-21 | 2021-07-02 | 神华包神铁路集团有限责任公司 | Switch rail crawling monitoring system and switch rail crawling monitoring method |
| CN114132360A (en) * | 2021-11-08 | 2022-03-04 | 卡斯柯信号有限公司 | Anti-pinch method, equipment and storage medium for discriminating switch state based on image |
| CN114132360B (en) * | 2021-11-08 | 2023-09-08 | 卡斯柯信号有限公司 | Method, equipment and storage medium for preventing turnout from being squeezed based on image discrimination of turnout state |
| CN114312905B (en) * | 2021-11-25 | 2023-01-13 | 广州智为科技发展有限公司 | Switch point rail form image real-time supervision device |
| CN114312905A (en) * | 2021-11-25 | 2022-04-12 | 广州智为科技发展有限公司 | Switch point rail form image real-time supervision device |
| CN115574724A (en) * | 2022-11-15 | 2023-01-06 | 西南交通大学 | Railway turnout movable steel rail displacement monitoring device, monitoring method and evaluation method |
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Application publication date: 20171215 |
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| RJ01 | Rejection of invention patent application after publication |