CN110717477A - Intelligent early warning and analyzing device for track - Google Patents

Intelligent early warning and analyzing device for track Download PDF

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Publication number
CN110717477A
CN110717477A CN201911006429.0A CN201911006429A CN110717477A CN 110717477 A CN110717477 A CN 110717477A CN 201911006429 A CN201911006429 A CN 201911006429A CN 110717477 A CN110717477 A CN 110717477A
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CN
China
Prior art keywords
module
locomotive
processing module
central processing
information
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Pending
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CN201911006429.0A
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Chinese (zh)
Inventor
曹智勇
谢观华
罗春杏
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Shenzhen Micro Digital Technology Co Ltd
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Shenzhen Micro Digital Technology Co Ltd
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Priority to CN201911006429.0A priority Critical patent/CN110717477A/en
Publication of CN110717477A publication Critical patent/CN110717477A/en
Pending legal-status Critical Current

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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/50Context or environment of the image
    • G06V20/56Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
    • G06V20/58Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B61RAILWAYS
    • B61LGUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
    • B61L23/00Control, warning, or like safety means along the route or between vehicles or vehicle trains
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B61RAILWAYS
    • B61LGUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
    • B61L23/00Control, warning, or like safety means along the route or between vehicles or vehicle trains
    • B61L23/04Control, warning, or like safety means along the route or between vehicles or vehicle trains for monitoring the mechanical state of the route
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16Human faces, e.g. facial parts, sketches or expressions
    • G06V40/168Feature extraction; Face representation
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/02Alarms for ensuring the safety of persons
    • G08B21/0202Child monitoring systems using a transmitter-receiver system carried by the parent and the child
    • G08B21/0261System arrangements wherein the object is to detect trespassing over a fixed physical boundary, e.g. the end of a garden
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/18Status alarms
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B7/00Signalling systems according to more than one of groups G08B3/00 - G08B6/00; Personal calling systems according to more than one of groups G08B3/00 - G08B6/00
    • G08B7/06Signalling systems according to more than one of groups G08B3/00 - G08B6/00; Personal calling systems according to more than one of groups G08B3/00 - G08B6/00 using electric transmission, e.g. involving audible and visible signalling through the use of sound and light sources

Abstract

The invention relates to an intelligent early warning analysis device for a track, which belongs to the technical field of track equipment and adopts the technical scheme that the intelligent early warning analysis device comprises the following components: the image acquisition module is used for continuously acquiring image information in front of the locomotive through the camera and sending the acquired image information to the characteristic acquisition module; the characteristic acquisition module is used for acquiring obstacle characteristics of the driving route according to the image information sent by the camera and sending the obstacle characteristic information to the image identification module; the image identification module is used for identifying the obstacles to generate identification information, and the identification information is sent to the central processing module; and the central processing module judges the identification information, and when the barrier is a dangerous barrier, the central processing module sends an alarm instruction to the alarm module, and the alarm module sends alarm information to the outside. The invention can monitor and early warn the obstacle near the track in front of the locomotive, and effectively improves the running safety of the locomotive and the personnel safety in the running process of the locomotive.

Description

Intelligent early warning and analyzing device for track
Technical Field
The invention relates to the technical field of track equipment, in particular to an intelligent track early warning and analyzing device.
Background
The rail transit is a common transportation mode in daily life, and comprises a subway, a train and the like. Since the locomotives of the rail transit travel in sequence on the rail, each locomotive needs to strictly drive according to the set travel scheme during the driving process.
When a locomotive runs on a track, when obstacles such as people and other objects exist near the track, the running of the locomotive can cause life threat to pedestrians in a dangerous area, and when the size of the obstacles is large, the running safety of the locomotive can be affected. Particularly, when a locomotive is driven at a station, safety accidents are easily caused due to the complex environment near the track.
The existing locomotive runs on a track and cannot monitor obstacles near the track in front of the locomotive, manual observation and early warning are mainly carried out through a driver, and the safety factor is low.
Disclosure of Invention
The invention aims to provide an intelligent track early warning analysis device which can monitor and early warn obstacles near a track in front of a locomotive and effectively improve the running safety of vehicles and the safety of personnel in the running process of the locomotive.
The above object of the present invention is achieved by the following technical solutions: an intelligent early warning analysis device for a track comprises an image acquisition module, a feature acquisition module, an image identification module, a central processing module and an alarm module; the image acquisition module comprises a plurality of cameras arranged at the head of the locomotive, the cameras continuously acquire image information in front of the locomotive and send the acquired image information to the feature acquisition module, and the feature acquisition module acquires obstacle features of a driving route according to the image information sent by the cameras and sends the obstacle feature information to the image identification module; the image recognition module recognizes the obstacles to generate recognition information, and the recognition information is sent to the central processing module; the central processing module judges the identification information, and when the barrier is a dangerous barrier, the central processing module sends an alarm instruction to the alarm module, and the alarm module sends alarm information to the outside.
Through adopting above-mentioned technical scheme, carry out continuous collection through the camera to the image information in locomotive the place ahead, and then discern whether there is barrier and barrier's classification in the place ahead through characteristic collection and image recognition technology, and then judge whether the barrier is dangerous barrier through central processing module, and then when dangerous barrier appears in locomotive the place ahead, to sending alarm information on every side, and then suggestion people and driver around handle.
The invention is further configured to: the central processing module is connected with a locomotive driving system and used for collecting the running speed information of the locomotive; the central processing module judges the position of the obstacle and the size of the obstacle according to the speed of the locomotive and continuous images sent by the camera, and when the obstacle is located in a dangerous area and the size of the obstacle exceeds the set size, the obstacle is judged to be a dangerous obstacle.
By adopting the technical scheme, the running speed information of the locomotive driving system is collected through the central processing module, and whether the obstacle is a dangerous obstacle is judged by judging the size of the obstacle and whether the obstacle is positioned in a dangerous area, so that the image identification is further supplemented, and the detection of the intelligent track early warning and analyzing device for the dangerous obstacle is more accurate.
The invention is further configured to: the display module is arranged in a cab of the locomotive and used for displaying and outputting the image information of the obstacle characteristics acquired by the characteristic acquisition module.
Through adopting above-mentioned technical scheme, through the setting of display module, the image information to the barrier characteristic that the characteristic collection module gathered shows the output, inserts from making things convenient for the staff to look over dangerous barrier to reply and handle more accurate.
The invention is further configured to: the system comprises a feature acquisition module, an image processing module and a display module, wherein the feature acquisition module transmits acquired obstacle feature images to the image processing module, and the image processing module amplifies the obstacle feature images and repairs the amplified images; the image processing module sends the repaired enlarged image to the display module, and the display module displays and outputs the enlarged image.
By adopting the technical scheme, the obstacle feature image is amplified and repaired through the image processing module, and then is displayed through the display module, so that the displayed image of the display module is clearer, and a driver can conveniently check the image.
The invention is further configured to: the alarm module comprises an external prompt unit arranged outside the locomotive and an internal prompt unit arranged inside a cab of the locomotive; the external prompting unit responds to an alarm instruction sent by the central processing module and sends sound alarm information to the outside; the internal prompt unit comprises a buzzer and an alarm indicator lamp, the internal prompt unit responds to an alarm instruction sent by the central processing module, the buzzer sends out a buzzing prompt, and the alarm indicator lamp is turned on.
Through adopting above-mentioned technical scheme, send sound alarm information to locomotive external environment through barrier characteristic external prompt unit, indicate the driver through buzzer and the alarm indicator that set up in locomotive driver's cabin is inside to when dangerous barrier appears, can be good indicate locomotive external environment and driver.
The invention is further configured to: the monitoring module is used for acquiring images of facial features of a driver in the driving process and sending the acquired facial feature images to the central processing module; the central processing module judges the driving state of the driver according to the received facial feature image, when the driver is in a dangerous driving state, the central processing module sends a prompt instruction to the internal prompt unit, and the buzzer sends a buzzing prompt to the outside.
Through adopting above-mentioned technical scheme, through monitoring module's setting, carry out image acquisition to driver's facial feature at the locomotive driver driving in-process to through central processing module's discernment judgement, when dangerous driving behaviors such as drowsiness, eastern Zhang xi wang appear in the driver, indicate the driver through the bee calling organ, thereby make the driver in time reply normal driving state.
The invention is further configured to: the locomotive driving adjustment system further comprises a wireless transceiving module, wherein the wireless transceiving module is used for receiving wireless fault information sent by other equipment and sending the fault information to the central processing module, and the central processing module generates driving adjustment information according to the fault information and sends the driving adjustment information to the locomotive driving system.
By adopting the technical scheme, through the arrangement of the wireless transceiving module, when the wireless fault information sent by other locomotives or other traffic stations is received, the central processing module generates the driving adjustment information according to the fault information, and then sends the driving adjustment information to the locomotive driving system to adjust the driving scheme of the current locomotive, so that the track system keeps an ordered state.
The invention is further configured to: the system also comprises a fault detection module, wherein the fault detection module comprises a speed detection unit and a GPS (global positioning system) positioning unit, the speed detection unit detects the running speed of the locomotive and sends the speed information of the locomotive to the central processing module; the GPS positioning unit is used for positioning the locomotive and sending positioning information to the central processing module; and the central processing module judges the fault of the locomotive according to the positioning information and the running speed, and when the locomotive breaks down, the central processing module sends the fault information of the current locomotive to other locomotives through the wireless transceiving module.
By adopting the technical scheme, whether the locomotive deviates from the preset driving scheme can be judged by detecting the speed and the position of the locomotive, and when the locomotive deviates from the preset driving scheme, a track accident can be caused; when the locomotive breaks down, the central processing module sends the fault information of the current locomotive to other locomotives through the wireless transceiving module, so that the locomotives of the whole track system can be kept linked in time, and the track traffic safety is guaranteed.
In conclusion, the beneficial technical effects of the invention are as follows:
1. the method comprises the steps that image information in front of a locomotive is continuously collected through a camera, whether an obstacle exists in the front and the type of the obstacle is identified through a characteristic collection and image identification technology, whether the obstacle is a dangerous obstacle is judged through a central processing module, and when the dangerous obstacle appears in front of the locomotive, alarm information is sent to the periphery, so that surrounding people and drivers are prompted to process;
2. the obstacle feature image is amplified and restored through the image processing module and then displayed through the display module, so that the image displayed by the display module is clearer, and a driver can conveniently check the image;
3. through the arrangement of the fault detection module and the wireless transceiving module, the speed and the position of the locomotive are detected through the fault detection module, so that whether the locomotive deviates from a preset driving scheme can be judged, and when the locomotive deviates from the preset driving scheme, a track accident can be caused; when the locomotive breaks down, the central processing module sends the fault information of the current locomotive to other locomotives through the wireless transceiving module, so that the locomotives of the whole track system can be kept linked in time, and the track traffic safety is guaranteed.
Drawings
Fig. 1 is a functional block diagram of an intelligent track early warning analysis device.
In the figure, 1, an image acquisition module; 2. a feature acquisition module; 3. an image recognition module; 4. a central processing module; 5. an alarm module; 51. an external prompt unit; 52. an internal presentation unit; 6. a display module; 7. an image processing module; 8. a monitoring module; 9. a fault detection module; 91. a speed detection unit; 92. a GPS positioning unit; 10. and a wireless transceiving module.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings.
The utility model provides a track intelligence early warning analytical equipment, refers to figure 1, includes image acquisition module 1, characteristic acquisition module 2, image recognition module 3, central processing module 4 and alarm module 5. The intelligent track early warning and analyzing device is arranged on the locomotive of the locomotive, monitors the environment in front of the locomotive in the running process, and further judges whether dangerous obstacles exist in the environment. The dangerous obstacles are mainly divided into two types, one is pedestrians, and the driving of the locomotive can cause life danger to the pedestrians in the dangerous area. The other is a large-volume object in a dangerous area, and the object can affect the running of the locomotive and further cause the running safety of the locomotive.
The image acquisition module 1 comprises a plurality of cameras arranged at the head of the locomotive, the cameras continuously acquire image information in front of the locomotive and send the acquired image information to the characteristic acquisition module 2. The feature acquisition module 2 acquires obstacle features of the driving route according to the image information sent by the camera and sends the obstacle feature information to the image identification module 3; the image recognition module 3 recognizes the obstacle to generate recognition information, and the recognition information is sent to the central processing module 4; the central processing module 4 judges the identification information, when the barrier is a dangerous barrier, the central processing module 4 sends an alarm instruction to the alarm module 5, and the alarm module 5 sends alarm information to the outside. The alarm module 5 includes an external alarm unit 51 disposed outside the locomotive and an internal alarm unit 52 disposed inside the cab of the locomotive. The external prompting unit 51 adopts a high-power sound power amplifier. The external prompt unit 51 sends out sound alarm information to the outside in response to the alarm instruction sent by the central processing module 4. The internal prompt unit 52 includes a buzzer and an alarm indicator, and the internal prompt unit 52 responds to the alarm instruction sent by the central processing module 4, the buzzer sends out a buzzer prompt, and the alarm indicator lights up.
The central processing module 4 is connected with a locomotive driving system, and the central processing module 4 collects the running speed information of the locomotive; the central processing module 4 judges the position of the obstacle and the size of the obstacle according to the speed of the locomotive and continuous images sent by the camera, and when the obstacle is located in a dangerous area and the size of the obstacle exceeds the set size, the obstacle is judged to be a dangerous obstacle. When an obstacle is recognized by image recognition, a recognition error may occur. And judging the position of the barrier and the size of the barrier by the continuous image through the central processing module, and further performing supplementary monitoring on whether the barrier is a dangerous object.
The intelligent track analysis device further comprises a display module 6, an image processing module 7 and a monitoring module 8. The display module 6 is arranged in a cab of the locomotive. The display module 6 is used for displaying and outputting the image information of the obstacle features acquired by the feature acquisition module 2. The feature acquisition module 2 sends the acquired obstacle feature image to the image processing module 7, and the image processing module 7 amplifies the obstacle feature image and performs image restoration on the amplified image; the image processing module 7 sends the restored enlarged image to the display module 6, and the display module 6 displays and outputs the enlarged image. The image information of the obstacles processed by the image processing module 7 is displayed through the display module 6, so that the drivers can conveniently check the obstacles in front of the locomotive.
The monitoring module 8 collects images of facial features of a driver in the driving process and sends the collected facial feature images to the central processing module 4; the central processing module 4 judges the driving state of the driver according to the received facial feature image, and when the driver is in a dangerous driving state, the central processing module 4 sends a prompt instruction to the internal prompt unit 52, and the buzzer sends a buzzing prompt to the outside.
The intelligent track early warning and analyzing device further comprises a fault detection module 9 and a wireless transceiving module 10. The wireless transceiver module 10 is mainly installed at the locomotive head of each locomotive and is used for wireless communication among the locomotives and between the locomotives and traffic stations. The fault detection module 9 comprises a speed detection unit 91 and a GPS positioning unit 92, wherein the speed detection unit 91 detects the running speed of the locomotive and sends the speed information of the locomotive to the central processing module 4; the GPS positioning unit 92 carries out position positioning on the locomotive and sends positioning information to the central processing module 4; and the central processing module 4 judges the fault of the locomotive according to the positioning information and the running speed. When the locomotive has a fault, the central processing module 4 sends the fault information of the current locomotive to other locomotives through the wireless transceiver module 10. When the real-time running position and the running speed of each locomotive are not consistent, the current locomotive running is in fault, the traffic station and each locomotive need to be informed in time, so that each locomotive is coordinated with each other, the respective driving scheme is adjusted, and the rail transit system can run stably. The wireless transceiver module 10 can receive wireless fault information sent by other equipment and send the fault information to the central processing module, and the central processing module 4 generates driving adjustment information according to the fault information and sends the driving adjustment information to the locomotive driving system.
The implementation principle of the embodiment is as follows:
the camera carries out continuous collection to the image information in front of the locomotive, and after carrying out obstacle feature acquisition through feature acquisition module 2, carries out image recognition and analyzes the size of obstacle through image recognition technology, and then confirms whether the obstacle is dangerous obstacle. The image processing module 7 amplifies the obstacle feature image and performs image restoration on the amplified image; the image processing module 7 sends the restored enlarged image to the display module 6, and the display module 6 displays and outputs the enlarged image. When a dangerous obstacle occurs, a warning alarm is issued to the outside through the external warning unit 51 and the internal warning unit 52. During the running process of the locomotive, the speed detection unit 91 detects the running speed of the locomotive, the GPS positioning unit 92 positions the locomotive, and further, when a fault occurs, the wireless transceiver module 10 communicates with other locomotives.
The embodiments of the present invention are preferred embodiments of the present invention, and the scope of the present invention is not limited by these embodiments, so: all equivalent changes made according to the structure, shape and principle of the invention are covered by the protection scope of the invention.

Claims (8)

1. The utility model provides a track intelligence early warning analytical equipment which characterized in that: the system comprises an image acquisition module (1), a feature acquisition module (2), an image recognition module (3), a central processing module (4) and an alarm module (5); the image acquisition module (1) comprises a plurality of cameras arranged at the head of the locomotive, the cameras continuously acquire image information in front of the locomotive and send the acquired image information to the feature acquisition module (2), and the feature acquisition module (2) acquires obstacle features of a driving route according to the image information sent by the cameras and sends the obstacle feature information to the image identification module (3); the image recognition module (3) recognizes the obstacle, generates recognition information and sends the recognition information to the central processing module (4); the central processing module (4) judges the identification information, when the barrier is a dangerous barrier, the central processing module (4) sends an alarm instruction to the alarm module (5), and the alarm module (5) sends alarm information to the outside.
2. The intelligent early warning and analyzing device for the track according to claim 1, wherein: the central processing module (4) is connected with a locomotive driving system, and the central processing module (4) collects the running speed information of the locomotive; the central processing module (4) judges the position of the obstacle and the size of the obstacle according to the speed of the locomotive and continuous images sent by the camera, and when the obstacle is located in a dangerous area and the size of the obstacle exceeds the set size, the obstacle is judged to be a dangerous obstacle.
3. The intelligent early warning and analyzing device for the track according to claim 1, wherein: the display device is characterized by further comprising a display module (6) arranged in the cab of the locomotive, wherein the display module (6) is used for displaying and outputting the image information of the obstacle features acquired by the feature acquisition module (2).
4. The intelligent early warning and analyzing device for the track according to claim 2, wherein: the system is characterized by further comprising an image processing module, wherein the feature acquisition module (2) sends acquired obstacle feature images to the image processing module (7), and the image processing module amplifies the obstacle feature images and repairs the amplified images; the image processing module (7) sends the repaired enlarged image to the display module (6), and the display module (6) displays and outputs the enlarged image.
5. The intelligent early warning and analyzing device for the track according to claim 1, wherein: the alarm module (5) comprises an external prompt unit (51) arranged outside the locomotive and an internal prompt unit (52) arranged inside a cab of the locomotive; the external prompting unit (51) responds to an alarm instruction sent by the central processing module (4) and sends sound alarm information to the outside; the internal prompt unit (52) comprises a buzzer and an alarm indicator lamp, the internal prompt unit (52) responds to an alarm instruction sent by the central processing module (4), the buzzer sends out a buzzing prompt, and the alarm indicator lamp is lightened.
6. The intelligent early warning and analyzing device for the track as claimed in claim 5, wherein: the monitoring module (8) is used for acquiring images of facial features of a driver in the driving process and sending the acquired images of the facial features to the central processing module (4); the central processing module (4) judges the driving state of the driver according to the received facial feature image, when the driver is in a dangerous driving state, the central processing module (4) sends a prompt instruction to the internal prompt unit (52), and the buzzer sends a buzzing prompt to the outside.
7. The intelligent early warning and analyzing device for the track according to claim 1, wherein: the locomotive driving system further comprises a wireless transceiving module (10), wherein the wireless transceiving module (10) is used for receiving wireless fault information sent by other equipment and sending the fault information to the central processing module, and the central processing module (4) generates driving adjustment information according to the fault information and sends the driving adjustment information to the locomotive driving system.
8. The intelligent early warning and analyzing device for the track as claimed in claim 7, wherein: the locomotive speed monitoring system further comprises a fault detection module (9), wherein the fault detection module (9) comprises a speed detection unit (91) and a GPS positioning unit (92), the speed detection unit (91) detects the running speed of the locomotive and sends the speed information of the locomotive to the central processing module (4); the GPS positioning unit (92) carries out position positioning on the locomotive and sends positioning information to the central processing module (4); the central processing module (4) judges the fault of the locomotive according to the positioning information and the running speed, and when the locomotive breaks down, the central processing module (4) sends the fault information of the current locomotive to other locomotives through the wireless transceiving module (10).
CN201911006429.0A 2019-10-22 2019-10-22 Intelligent early warning and analyzing device for track Pending CN110717477A (en)

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Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111976726A (en) * 2020-08-26 2020-11-24 中南大学 Steering auxiliary system of intelligent rail vehicle and control method thereof
CN112329781A (en) * 2020-11-04 2021-02-05 哈尔滨市科佳通用机电股份有限公司 Method for detecting loss of pull rivet pin collar of truck brake beam strut based on image restoration
CN112468771A (en) * 2020-11-03 2021-03-09 郑州铁路职业技术学院 Safety monitoring system for railway locomotive
CN114715220A (en) * 2022-06-07 2022-07-08 深圳龙铁高科技术有限公司 Intelligent early warning method and early warning system for locomotive

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1562685A (en) * 2004-04-01 2005-01-12 杨劲松 Method for testing out of order for running train and alarm device
CN202115549U (en) * 2011-05-23 2012-01-18 成都可益轨道技术有限公司 Intelligent recognition system for railway locomotive tracks
CN103700220A (en) * 2013-12-13 2014-04-02 杭州电子科技大学 Fatigue driving monitoring device
CN104331910A (en) * 2014-11-24 2015-02-04 沈阳建筑大学 Track obstacle detection system based on machine vision
CN106476691A (en) * 2016-09-30 2017-03-08 张家港长安大学汽车工程研究院 3D scanning collision prevention of vehicle based on line laser and alarm device and alarm method
CN106697003A (en) * 2016-12-15 2017-05-24 天津交控科技有限公司 Rail vehicle brake fault safe handling method
CN109085607A (en) * 2018-07-27 2018-12-25 中车唐山机车车辆有限公司 Contact net obstacle detection method and device
CN109298415A (en) * 2018-11-20 2019-02-01 中车株洲电力机车有限公司 A kind of track and road barricade object detecting method

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1562685A (en) * 2004-04-01 2005-01-12 杨劲松 Method for testing out of order for running train and alarm device
CN202115549U (en) * 2011-05-23 2012-01-18 成都可益轨道技术有限公司 Intelligent recognition system for railway locomotive tracks
CN103700220A (en) * 2013-12-13 2014-04-02 杭州电子科技大学 Fatigue driving monitoring device
CN104331910A (en) * 2014-11-24 2015-02-04 沈阳建筑大学 Track obstacle detection system based on machine vision
CN106476691A (en) * 2016-09-30 2017-03-08 张家港长安大学汽车工程研究院 3D scanning collision prevention of vehicle based on line laser and alarm device and alarm method
CN106697003A (en) * 2016-12-15 2017-05-24 天津交控科技有限公司 Rail vehicle brake fault safe handling method
CN109085607A (en) * 2018-07-27 2018-12-25 中车唐山机车车辆有限公司 Contact net obstacle detection method and device
CN109298415A (en) * 2018-11-20 2019-02-01 中车株洲电力机车有限公司 A kind of track and road barricade object detecting method

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111976726A (en) * 2020-08-26 2020-11-24 中南大学 Steering auxiliary system of intelligent rail vehicle and control method thereof
CN112468771A (en) * 2020-11-03 2021-03-09 郑州铁路职业技术学院 Safety monitoring system for railway locomotive
CN112329781A (en) * 2020-11-04 2021-02-05 哈尔滨市科佳通用机电股份有限公司 Method for detecting loss of pull rivet pin collar of truck brake beam strut based on image restoration
CN114715220A (en) * 2022-06-07 2022-07-08 深圳龙铁高科技术有限公司 Intelligent early warning method and early warning system for locomotive

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