CN104374373A - Catenary status monitoring system based on pantograph image analysis - Google Patents
Catenary status monitoring system based on pantograph image analysis Download PDFInfo
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- CN104374373A CN104374373A CN201410542314.4A CN201410542314A CN104374373A CN 104374373 A CN104374373 A CN 104374373A CN 201410542314 A CN201410542314 A CN 201410542314A CN 104374373 A CN104374373 A CN 104374373A
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- pantograph
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- monitoring system
- contact net
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C11/00—Photogrammetry or videogrammetry, e.g. stereogrammetry; Photographic surveying
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- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Radar, Positioning & Navigation (AREA)
- Remote Sensing (AREA)
- Train Traffic Observation, Control, And Security (AREA)
- Image Analysis (AREA)
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Abstract
The invention discloses a catenary status monitoring system based on pantograph image analysis. The system includes a pantograph image recognition system and a catenary status monitoring system; firstly, a pantograph image is read in by the pantograph image recognition system and then is subjected to image preprocessing, a pantograph damage characteristic is extracted, finally characteristic comparison is carried out with a pantograph characteristic database, pantograph damage information is obtained, and the catenary status monitoring system allows the pantograph damage information of the station to be compared with pantograph damage information of a former station so as to obtain catenary damage information. Through analysis of come-and-go train pantograph images shot at fixed points of a route, the catenary status in the route is indirectly determined. Cameras only needed to be erected above a station entrance take pictures on a coming train, only two to three systems are required to be erected in one station, moreover, because erection positions are fixed, the damage degree of the camera systems is small, the devices are not easy to damage, and thus the cost is reduced.
Description
Technical field
The present invention relates to a kind of utility appliance for railway, specifically based on the contact net condition monitoring system of pantograph graphical analysis.
Background technology
Along with improving constantly of train speed, dynamic perfromance when research Pantograph-OCS system interacts is more and more important.There is complicated mechanics, electrically reciprocal effect effect between pantograph and contact net, its failure rate is always higher, has a strong impact on the operation of electric railway.Along with the increase of electric railway revenue kilometres, maintenance is effectively carried out to existing line and keeps in repair a great problem becoming Chinese Railway worker and face.
Current bow net test system cannot mainly takes several means such as manual detection, contact measurement, contactless range finding detection and non-contact image detection.Wherein, it is utilize image acquisition and treatment technology to carry out bow net monitoring that non-contact image detects, and single equipment can be utilized to detect multiple bow net parts simultaneously, has minimizing number of devices, reduces investment outlay, does not disturb driving, size advantage flexibly.Existing a kind of equipment utilizing consecutive image shooting and image processing techniques to carry out bow net detection, can be installed on commercial operation car, realize the daily high frequency to bow net and monitor, as shown in Figure 1.
Meanwhile, bow net runs bad, and as overheated in bow net off-line arcing, contact point etc. causing by stream contact net has a strong impact on, even harm contact net itself.Gondola researcher works out a set of bow net contact based on image procossing point Warm status detection system, the infrared camera be arranged on commercial operation car is utilized to take the image of pantograph and contact net, by the graphical analysis to pantograph and contact net contact area, judge whether that bow net contact point is overheated, the generation of bow net off-line arcing and the fault such as osculatory malposition is normal, as shown in Figure 2.
But the existing bow net condition detecting system based on image, all for being arranged on commercial operation car, in order to detect bow net operation state in real time, each car all should install a set of such system, thus makes cost higher.
Summary of the invention
The present invention is exactly the problem reducing cost to solve, being convenient to maintenance, and the mode of to set up camera above a kind of ENTRANCE AT STATION and carrying out taking pictures is provided, only need to set up set of system can complete the contact net condition monitoring system based on pantograph graphical analysis of the monitoring to contact net at each platform.
The present invention realizes according to following technical scheme:
Contact net condition monitoring system based on pantograph graphical analysis of the present invention, comprise pantograph image identification system and contact net condition monitoring system, pantograph image first reads in by pantograph image identification system, again through image normalization, noise-removed filtering, image enhaucament, the Image semantic classification of image registration, and by morphologic filtering algorithm, Fourier Transform Algorithm, Algorithms of Wavelet Analysis, Radon mapping algorithm extracts the impaired feature of pantograph, aspect ratio pair is carried out finally by with pantograph property data base, obtain pantograph corrupted information, the pantograph corrupted information obtaining our station and a upper station is compared by described contact net condition monitoring system, thus obtain the corrupted information of contact net.
The advantage that the present invention has and good effect are:
The present invention adopts the analysis of the contact train pantograph image to the shooting of circuit fixed point, indirectly judges the state of contact net in this circuit.The camera set up above ENTRANCE AT STATION is only needed to take pictures to arrival train, erection two to three cover system is only needed at a station, and owing to fixing the position of erection, little to the degree of injury of photographic system, equipment is not easy to damage, thus reduces cost.
Accompanying drawing explanation
Fig. 1 is existing contact net identification and steady arm slope detection system;
Fig. 2 is existing based on ultrared bow net test system cannot analysis chart;
Fig. 3 is system equipment structural drawing of the present invention;
Fig. 4 is workflow diagram of the present invention.
Embodiment
Below in conjunction with drawings and Examples, the present invention will be described in detail.
As shown in Figure 3, the contact net condition monitoring system based on pantograph graphical analysis of the present invention, primarily of equipment compositions such as workstation, server, disk array, printer, switch, high definition cameras.
The train pantograph image that slave station shooting arrives, and analyze the parameter of pantograph image, parameter is uploaded to scheduling station.Scheduling station connects multiple slave station.Scheduling station accepts the train pantograph information that each slave station transmits, and by comparative analysis, monitors the state of each controlled website Contact net, and stores data, report to the police, show abnormal information.
Slave station installs the server of camera and process data.Scheduling station installs video work station, monitor workstation, master server, standby server, disk array and printer.
Three high definition cameras are arranged on the crossbeam of station ENTRANCE, and after train enters the station, the trigger pip that camera is provided by station communication system realizes taking pictures triggering.Three cameras are taken pictures to pantograph respectively from different perspectives, guarantee the multi-faceted information obtaining pantograph.After acquisition photo, by netting twine, image data transmission is analyzed to the background analysis server at station, draw the status information of pantograph.
As shown in Figure 4, contact net condition monitoring system based on pantograph graphical analysis of the present invention, comprise pantograph image identification system and contact net condition monitoring system, pantograph image first reads in by pantograph image identification system, again through image normalization, noise-removed filtering, image enhaucament, the Image semantic classification of image registration, and by morphologic filtering algorithm, Fourier Transform Algorithm, Algorithms of Wavelet Analysis, Radon mapping algorithm extracts the impaired feature of pantograph, aspect ratio pair is carried out finally by with pantograph property data base, obtain pantograph corrupted information, the pantograph corrupted information obtaining our station and a upper station is compared by described contact net condition monitoring system, thus obtain the corrupted information of contact net.
Described contact net condition monitoring system specific works step is as follows:
I first judges our station pantograph damage situations, and when without time impaired, scheduling station display " normally ", then terminates; When damaged, a station pantograph corrupted information is read in;
II judges a upper station pantograph damage situations again, when without time impaired, show " this section of contact net fault ", then terminates; When damaged, display " contact net n-th segment fault ", then terminates.
The present invention adopts the analysis of the contact train pantograph image to the shooting of circuit fixed point, indirectly judges the state of contact net in this circuit.The camera set up above ENTRANCE AT STATION is only needed to take pictures to arrival train, erection two to three cover system is only needed at a station, and owing to fixing the position of erection, little to the degree of injury of photographic system, equipment is not easy to damage, thus reduces cost.
Claims (2)
1. the contact net condition monitoring system based on pantograph graphical analysis, comprise pantograph image identification system and contact net condition monitoring system, pantograph image first reads in by pantograph image identification system, again through image normalization, noise-removed filtering, image enhaucament, the Image semantic classification of image registration, and by morphologic filtering algorithm, Fourier Transform Algorithm, Algorithms of Wavelet Analysis, Radon mapping algorithm extracts the impaired feature of pantograph, aspect ratio pair is carried out finally by with pantograph property data base, obtain pantograph corrupted information, it is characterized in that: the pantograph corrupted information obtaining our station and a upper station is compared by contact net condition monitoring system, thus obtain the corrupted information of contact net.
2. the contact net condition monitoring system based on pantograph graphical analysis according to claim 1, is characterized in that: contact net condition monitoring system specific works step is as follows:
I first judges our station pantograph damage situations, and when without time impaired, scheduling station display " normally ", then terminates; When damaged, a station pantograph corrupted information is read in;
II judges a upper station pantograph damage situations again, when without time impaired, show " this section of contact net fault ", then terminates; When damaged, display " contact net n-th segment fault ", then terminates.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN201410542314.4A CN104374373A (en) | 2014-10-15 | 2014-10-15 | Catenary status monitoring system based on pantograph image analysis |
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| CN201410542314.4A CN104374373A (en) | 2014-10-15 | 2014-10-15 | Catenary status monitoring system based on pantograph image analysis |
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| CN104374373A true CN104374373A (en) | 2015-02-25 |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104833904A (en) * | 2015-04-13 | 2015-08-12 | 东莞市诺丽电子科技有限公司 | Method for detecting arcing of pantograph of straddle-type monorail train |
| CN105158257A (en) * | 2015-05-21 | 2015-12-16 | 苏州华兴致远电子科技有限公司 | Sliding plate measurement method and device |
| CN108694349A (en) * | 2017-04-07 | 2018-10-23 | 成都唐源电气股份有限公司 | A kind of pantograph image extraction method and device based on line-scan digital camera |
| CN109269474A (en) * | 2018-08-29 | 2019-01-25 | 广西大学 | A kind of online image detection device of train-installed pantograph operating status and method |
| CN109683058A (en) * | 2018-12-24 | 2019-04-26 | 天津凯发电气股份有限公司 | A kind of urban rail transit contact network method for comprehensive detection based on big data |
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104833904A (en) * | 2015-04-13 | 2015-08-12 | 东莞市诺丽电子科技有限公司 | Method for detecting arcing of pantograph of straddle-type monorail train |
| CN105158257A (en) * | 2015-05-21 | 2015-12-16 | 苏州华兴致远电子科技有限公司 | Sliding plate measurement method and device |
| CN105158257B (en) * | 2015-05-21 | 2018-07-20 | 苏州华兴致远电子科技有限公司 | Slide plate measurement method and device |
| CN108694349A (en) * | 2017-04-07 | 2018-10-23 | 成都唐源电气股份有限公司 | A kind of pantograph image extraction method and device based on line-scan digital camera |
| CN108694349B (en) * | 2017-04-07 | 2020-03-06 | 成都唐源电气股份有限公司 | Pantograph image extraction method and device based on linear array camera |
| CN109269474A (en) * | 2018-08-29 | 2019-01-25 | 广西大学 | A kind of online image detection device of train-installed pantograph operating status and method |
| CN109269474B (en) * | 2018-08-29 | 2021-03-30 | 广西大学 | Online image detection device and method for train-mounted pantograph running state |
| CN109683058A (en) * | 2018-12-24 | 2019-04-26 | 天津凯发电气股份有限公司 | A kind of urban rail transit contact network method for comprehensive detection based on big data |
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Application publication date: 20150225 |