CN114715220A - Intelligent early warning method and early warning system for locomotive - Google Patents

Intelligent early warning method and early warning system for locomotive Download PDF

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Publication number
CN114715220A
CN114715220A CN202210631906.8A CN202210631906A CN114715220A CN 114715220 A CN114715220 A CN 114715220A CN 202210631906 A CN202210631906 A CN 202210631906A CN 114715220 A CN114715220 A CN 114715220A
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locomotive
intelligent
preset
early warning
camera
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邵旺龙
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Shenzhen Long Tie Hi Tech Co ltd
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Shenzhen Long Tie Hi Tech Co ltd
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    • BPERFORMING OPERATIONS; TRANSPORTING
    • B61RAILWAYS
    • B61LGUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
    • B61L15/00Indicators provided on the vehicle or train for signalling purposes
    • B61L15/009On-board display devices
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B61RAILWAYS
    • B61LGUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
    • B61L15/00Indicators provided on the vehicle or train for signalling purposes

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  • Engineering & Computer Science (AREA)
  • Mechanical Engineering (AREA)
  • Alarm Systems (AREA)
  • Closed-Circuit Television Systems (AREA)

Abstract

The invention provides an intelligent early warning method and an intelligent early warning system for a locomotive, wherein the early warning method comprises the following steps: acquiring data packets transmitted by each intelligent camera in real time, wherein a scene algorithm is arranged in each intelligent camera to judge whether the acquired image is a preset event or not in real time; decoding data packets transmitted by each intelligent camera; judging whether the decoded data packet is a preset event or not; displaying the decoded data through a display screen; the images collected by the intelligent cameras are arranged in order and displayed on the display screen; meanwhile, if the decoded data packet is judged to be a preset event, the preset event is prompted through voice, and the picture of the preset event is amplified. Therefore, reminding of each preset event can be achieved, pictures of the preset events are enlarged to be checked by drivers, safety risks can be eliminated before adverse consequences are generated, and safety of locomotive operation can be greatly improved.

Description

Intelligent early warning method and early warning system for locomotive
Technical Field
The invention relates to the technical field of locomotive driving safety, in particular to an intelligent early warning system and an early warning method for a locomotive.
Background
The intelligent locomotive early warning system is characterized by that in the course of running locomotive, the camera is used for collecting image of front condition of locomotive, driver state and every place to be monitored, and said image can be played by means of display screen so as to make driver can real-timely master running of locomotive and raise safety of locomotive in the course of running.
However, in the existing system, generally, a high-definition camera is adopted in each monitoring place to acquire images of a monitored space, and a driver needs to check a display screen in real time, so that the driver is accelerated to feel fatigue during driving. And the existing system, generally there are power, host computer, display screen, every sensor and every camera of control point form, and these component equipments set up alone, and be connected with the host computer through the wire respectively, however, can increase the wiring and increase and maintain the degree of difficulty, and because various safety equipment have been installed to locomotive inside, can lead to the phenomenon that the host computer installed at will, and because the host computer is the core of entire system, if install in the place of high temperature, electromagnetic interference, long-time operation can lead to data loss, factor such as the unstability of increase host computer, and bring a great deal of trouble for accident analysis. In addition, in the driving process, if the camera shoots abnormal conditions, the system can only operate and amplify the picture through touch, keys or a remote controller, and the like, so that the operation is inconvenient for drivers and passengers, and the driving safety is influenced. In addition, the conditions encountered by the vehicle are analyzed in the later period, and a section of the collected videos needs to be searched, so that the analysis progress is influenced, and the use by a user is not facilitated.
Accordingly, the prior art is in need of improvement and development.
Disclosure of Invention
The invention aims to provide an intelligent early warning method and an intelligent early warning system for a locomotive, which are used for solving the problem that drivers need to check a display screen in real time, so that fatigue is accelerated, and the attention of the drivers is dispersed.
The technical scheme of the invention is as follows:
in one aspect, the invention provides an intelligent early warning method for a locomotive, which comprises the following steps:
acquiring data packets transmitted by each intelligent camera in real time, wherein a scene algorithm is arranged in each intelligent camera to judge whether the acquired image is a preset event or not in real time;
decoding data packets transmitted by each intelligent camera;
judging whether the decoded data packet is a preset event or not;
displaying the decoded data through a display screen; wherein, the images collected by each intelligent camera are displayed on a display screen; meanwhile, if the decoded data packet is judged to be a preset event, the preset event is prompted through voice, and the picture of the preset event is amplified;
after the decoding of the data packets transmitted by the intelligent cameras, the intelligent early warning method for the locomotive further comprises the following steps: storing the decoded data; and storing the images acquired by the intelligent cameras in a segmented manner according to time periods, and extracting preset events and then storing the preset events separately.
Further, the images collected by the intelligent cameras are stored in a hard disk, the preset events are stored in a memory card, and the preset events comprise road condition preset events, car coupler preset events, fire preset events and personnel preset events.
Furthermore, the intelligent camera also comprises a front road condition detection camera and a rear road condition detection camera;
the front road condition detection camera is used for acquiring the conditions of a front rail and the periphery of the rail of the locomotive in real time and analyzing a preset scene according to acquired data to judge whether the condition is a road condition preset event or not;
the rear road condition detection camera is used for acquiring conditions of a rear track and the periphery of the track of the locomotive in real time and analyzing a preset scene according to acquired data to judge whether the condition is a road condition preset event.
Further, the intelligent camera comprises a front coupler detection camera and a rear coupler detection camera, the front coupler detection camera is used for detecting whether the collision and the distance between the locomotive and the rear vehicle coupler coupling are preset events of the coupler, and the rear coupler detection camera is used for detecting whether the collision and the distance between the locomotive and the rear vehicle coupler coupling are preset events of the coupler.
Further, after the step of decoding the data packet transmitted by each smart camera, the method further includes: and marking the preset events transmitted by the intelligent cameras into different colors.
Further, the intelligent early warning method for the locomotive further comprises the following steps:
acquiring the locomotive speed transmitted by a locomotive working condition recognition device;
switching images collected by a front coupler detection camera or a rear coupler detection camera in a display screen according to the speed of the locomotive; or switching the images collected by the front road condition detection camera and the rear road condition detection camera in the display screen according to the speed of the locomotive.
On the other hand, the invention also provides an intelligent early warning system for the locomotive, which comprises: the intelligent early warning system comprises a plurality of intelligent cameras and a screen display integrated device for executing the intelligent early warning method of the locomotive;
the screen display integrated device comprises: the processor is electrically connected with the radio frequency module, the interactive display screen, the Ethernet interactive module, the power management module and the voice playing device;
the power management module is respectively and electrically connected with the radio frequency module, the interactive display screen, the Ethernet interactive module and the voice playing device, the intelligent cameras are all connected with the Ethernet interactive module, the voice playing device is electrically connected with the processor, and a scene algorithm program for judging whether the acquired images are preset events or not is arranged in the intelligent cameras.
Furthermore, the screen display integrated device further comprises a hard disk and a memory card which are respectively electrically connected with the processor, wherein the hard disk is used for storing images collected by the intelligent cameras, and the memory card is used for storing preset events.
Furthermore, the locomotive intelligent early warning system further comprises a locomotive working condition recognition device electrically connected with the processor, and the locomotive working condition recognition device is used for detecting the locomotive working condition.
The invention has the beneficial effects that: compared with the prior art, the screen display integrated device is matched with the intelligent camera with the scene algorithm, the reminding of each preset event can be realized, the picture of the preset event is enlarged for a driver to check, the safety risk is eliminated before adverse consequences are generated, and the safety of locomotive operation can be greatly improved.
Drawings
FIG. 1 is a partial flow chart of an intelligent locomotive early warning method according to the present invention;
FIG. 2 is a flow chart of another part of the intelligent warning method for a locomotive according to the present invention;
FIG. 3 is a schematic block diagram of an intelligent warning system for a locomotive according to the present invention.
Detailed Description
The invention is further described with reference to the following figures and embodiments.
Referring to fig. 3, an intelligent early warning system for a locomotive in an embodiment of the invention is disclosed.
The intelligent early warning system for the locomotive comprises a screen display integrated device 10 and a plurality of intelligent cameras 20.
Wherein, the screen display integrated device 10 includes: the system comprises a processor 12, a radio frequency module 13, an interactive display screen 15, an Ethernet interactive module 11, a voice playing device 14 and a power management module 18, wherein the radio frequency module 13, the interactive display screen 15, the Ethernet interactive module 11, the voice playing device 14 and the power management module 18 are electrically connected with the processor 12. The power management module 18 is electrically connected with the radio frequency module 13, the interactive display screen 15, the ethernet interactive module 11 and the voice playing device 14, the plurality of smart cameras 20 are all connected with the ethernet interactive module 11, the voice playing device 14 is electrically connected with the processor 12, and a scene algorithm program for judging whether the acquired images are preset events or not is arranged in the smart cameras 20. Specifically, the power management module 18 is used for connecting a locomotive main power supply, and the power that will insert is rectified, the radio frequency module 13 is given respectively after the processing such as filtering, mutual display screen 15, ethernet interactive module 11 and pronunciation play device 14 power supply, a plurality of intelligent cameras 20 all connect ethernet interactive module 11 through the ethernet, still give a plurality of intelligent cameras 20 with the power supply of power management output, let intelligent cameras 20 normally work, and this way, can remove the distribution of power cord, reduce the cost of maintenance, and directly utilize the intelligent camera 20 that has the scene algorithm, reducible controller that has the scene algorithm procedure, reduce the component of locomotive intelligence early warning system, be convenient for later maintenance.
Specifically, the rf module 13 may be a 4G module or a 5G module, and the voice playing device 14 may be a speaker.
In an embodiment, the on-screen display integrated device 10 further includes a hard disk 17 and a memory card 16 electrically connected to the processor 12, respectively, wherein the hard disk 17 is used for storing images captured by the smart cameras 20, and the memory card 16 is used for storing preset events. The preset events are independently extracted and stored, so that the time for searching by a user in the later period is effectively reduced.
In addition, referring to fig. 1, according to the above-mentioned intelligent warning system for a locomotive, the present invention further provides an intelligent warning method for a locomotive, which includes the following steps:
and S1, acquiring the data packets transmitted by the intelligent cameras 20 in real time, wherein a scene algorithm is arranged in the intelligent cameras 20 to judge whether the acquired images are preset events in real time.
Specifically, each smart camera 20 compresses the respective acquired image into a data packet and transmits the data packet to the ethernet interaction module 11 in real time. A scene algorithm is set inside each of the smart cameras 20, and the scene algorithm is used to analyze the acquired images and determine whether the acquired images are scenes preset by the scene algorithm, that is, whether the acquired images are preset events.
S2, decoding the data packet transmitted by each intelligent camera 20; the data packet is converted into a signal recognizable by the processor 12 by the ethernet interaction module 11 and transmitted to the processor 12.
S3, judging whether the decoded data packet is a preset event; the processor 12 determines whether the data packet transmitted by the smart camera 20 is a predetermined event according to the decoded recognizable signal.
S4, displaying the decoded data through the display screen 15; the processor 12 recognizes the signal transmitted by the ethernet interaction module 11 and transmits the signal to the display screen 15 for display. The display screen 15 is divided into a plurality of playing areas for playing the images collected by the smart camera 20 with different scene algorithms. And when the signal transmitted by the ethernet interaction module 11 received by the processor 12 is a preset event, the area in the display screen 15 where the smart camera 20 corresponding to the preset event is located is simultaneously amplified and played, and the voice playing device 14 is used for broadcasting voice to remind the driver, so that the driver can watch the amplified image through voice reminding. Specifically, the zooming-in playing may be full-screen zooming, zooming in on 3/4 screen, and the like, and is not limited herein.
Furthermore, when the locomotive runs, a driver does not need to stare at the display screen 15 in real time, and when a preset event occurs, the driver can be reminded in time and the driver does not need to amplify the screen of the preset event for operation, so that the attention of the driver is prevented from being dispersed, and the running safety of the locomotive is improved.
In an embodiment, in order to facilitate the later user to find the preset event, after step S2, the method further includes: storing the decoded data; the decoded images collected by the intelligent cameras 20 are stored in segments according to time periods, and the preset events are extracted and then stored separately. Specifically, in one embodiment, the image time periods collected by the smart cameras 20 are stored in the hard disk 17 in a segmented manner, and the preset events are stored in the memory card 16 separately. The preset events can be classified into road condition preset events, car coupler preset events, fire preset events, personnel preset events, and the like according to the images collected by the intelligent cameras 20. Specifically, the memory card 16 may be an SD card, a TF card, or the like.
In an embodiment, while step S2 is executed, the decoded data is also uploaded to the network backend 40, the mobile phone end, and the PC end 50, so that the network backend 40 manages and supervises.
In one embodiment, the smart camera 20 includes a human detection camera 25, the human detection camera 25 has a face recognition function, a fatigue driving recognition program, a human posture recognition program, and the like, and the human detection camera 25 is used for collecting a face and a posture of a driver (an operator), and the human face recognition function is used for judging whether the driver is a preset worker on duty, so as to improve the normative of locomotive management.
If the judgment result is that the working personnel is not the working personnel on duty, the screen display integrated device 10 uploads information to the network background 40 through the radio frequency module 13 according to signals transmitted by the personnel detection camera 25 through the Ethernet, and then the network background 40 reminds the rear-end personnel to check the information, or other working personnel can be informed through voice playing through a voice playing device (such as a loudspeaker or a sound box) which is additionally arranged and connected with the screen display integrated device 10, so that the management of locomotive operation personnel is facilitated.
In one embodiment, the smart camera 20 further includes a front road condition detection camera 21 and a rear road condition detection camera 22. Specifically, the front road condition detection camera 21 is mounted on the locomotive head, and is used for acquiring conditions of a track in front of the locomotive and the periphery of the track in real time, and analyzing a preset scene according to the acquired data to judge whether the condition is a road condition preset event; the method is particularly used for detecting obstacles on rails of 120-200 meters in front of a vehicle body, detecting people and vehicles at an intersection, detecting landslide soil piles on a rocky mountain at a side slope road section and the like, namely detecting whether the obstacles are road condition preset events or not, and realizing road condition information detection of the current locomotive running environment. The rear road condition detection camera 22 is mounted at the tail of the vehicle and is used for acquiring the conditions of a rear track and the periphery of the track of the vehicle in real time and analyzing a preset scene according to acquired data to judge whether the condition is a preset event or not; specifically, the rear road condition detection camera 22 is used for detecting obstacles on a rail of 120 + 200 meters behind the tail of the vehicle, detecting people and vehicles at the intersection, detecting rockfall and landslide soil piles at the side slope road section, and the like, so as to realize road condition information detection of the current locomotive running environment. If the preset road condition event is judged, broadcasting different voices according to different road conditions. If it is determined that there is a pedestrian or a vehicle in front of the locomotive, the driver is effectively reminded by voice "please take care of the pedestrian in front" or "please take a car in front" etc.
In addition, in an embodiment, the smart camera 20 further includes a vehicle body road condition detection camera 26, the vehicle body road condition detection camera 26 is mounted on the vehicle body, and is configured to collect and detect whether the obstacle of the vehicle body road condition is a road condition preset event in real time, such as detection of landslide soil heap of a rocky mountain in a slope road section, and the like, so as to prompt a driver in time when the road condition preset event occurs, and allow the driver to observe and analyze whether there is a danger ahead through an enlarged picture, so as to take a safety measure, and greatly improve the safety of the operation of the locomotive.
And the front road condition detection camera 21 and the rear road condition detection camera 22 are matched with the vehicle body road condition detection camera 26, and pictures acquired by a plurality of cameras can be spliced by utilizing edge calculation in the processor 12 to form a three-dimensional picture to be displayed on the display screen 15.
In one embodiment, the smart camera 20 includes a front coupler detection camera 24 and a rear coupler detection camera 23, the front coupler detection camera 24 being configured to detect whether a collision and distance between the locomotive and a rear vehicle coupler link is a coupler preset event, and the rear coupler detection camera 23 being configured to detect whether a collision and distance between the locomotive and a rear vehicle coupler link is a coupler preset event. When the coupler preset event occurs, the driver is timely reminded and is observed and analyzed through the enlarged picture, so that safety measures can be taken conveniently, and the running safety of the locomotive is improved.
In one embodiment, the smart camera 20 may also include a fire detection camera 27 or the like. The fire detection camera 27 internally includes, but is not limited to, a fire location algorithm, and the fire detection camera 27 is used for monitoring the maximum temperature and the minimum temperature of the monitored area position, and is also used for smoke detection and the like, i.e., detecting whether the collected picture is a fire preset event. By utilizing the scene algorithm, the false alarm rate can be effectively reduced, and the method is different from the traditional smoke alarm detector which judges by depending on the concentration of particles and smoke in the air.
In an embodiment, after step S2, the method for intelligent warning of locomotive further includes: the preset events transmitted by the various types of smart cameras 20 are labeled with different colors. The smart camera 20 may be classified into a person detection camera 25, a road condition detection camera, a coupler detection camera, and a fire detection camera 27 according to different scene algorithms. The processor 12 marks the preset events acquired by the various types of smart cameras 20 with different colors according to the preset events transmitted by the various types of smart cameras 20 and by matching with the program. Or the background actively identifies the type of the preset event according to the information transmitted by the processor 12 through the radio frequency module 13, and represents different events in different colors, for example, the preset road condition event is marked as green, the preset coupler event is marked as yellow, the preset fire event is marked as red, and the like, so that rear-end personnel can efficiently and accurately manage the locomotive, and the running safety of the locomotive is improved.
In an embodiment, in order to record the whole process of the preset event, the time of the stored preset event further includes a certain event before and after the start of the preset event, for example, 30s or 1min before and after the start of the preset event, so as to facilitate analysis by the backend platform.
In one embodiment, the intelligent early warning system further comprises a locomotive condition recognition device 30 electrically connected to the processor 12, wherein the locomotive condition recognition device 30 is configured to detect a locomotive condition, and the locomotive condition includes a speed, a rotation speed, and the like.
On this basis, referring to fig. 2, the locomotive intelligent early warning method used in cooperation with the locomotive intelligent early warning system further includes:
s1.1, acquiring the locomotive speed transmitted by a locomotive working condition recognition device 30 by a processor 12; specifically, the locomotive operating condition recognition device 30 communicates with the processor 12 through RS 485.
S1.2, switching images acquired by a front coupler detection camera 24 or a rear coupler detection camera 23 in a display screen 15 by a processor 12 according to the speed of the locomotive; or the images acquired by the front road condition detection camera 21 and the rear road condition detection camera 22 are switched in the display screen 15 according to the speed of the locomotive.
The locomotive working condition recognition device 30 is internally provided with an MCU (microprogrammed control Unit) control unit, and the sampling voltage on the locomotive handle and the pulse speed of the locomotive code meter can be read through physical connection, so that the screen display integrated host machine recognizes the locomotive speed and the handle position through RS485 to distinguish the driving state in the current situation, and further controls the display screen 15 to display the images collected by the intelligent cameras 20.
Specifically, when the locomotive is not running, the speed of the locomotive is 0, and the images collected by the front coupler detection camera 24 or the rear coupler detection camera 23 are equally distributed in a playing area of the display screen 15, that is, the two cameras occupy half of the playing area. When the speed fed back by the locomotive working condition recognition device 30 is in a certain value, such as 0-8KM/H, the processor 12 judges that the locomotive runs forwards, and the running picture is automatically switched to a front coupler detection state; when the vehicle is driven backwards and the speed is higher than-8-0 KM/H, the driving picture is automatically switched to a rear vehicle coupler detection state, when the forward or backward speed is higher than 8KM/H, the driving picture is automatically switched to front road condition detection, rear road condition detection and the like, and in the running process, the picture with the preset event is amplified in a full screen mode and a driver is reminded through voice. With this function, the user can set the displayed screen with the speed value and the like according to the demand to satisfy the demand of each user. The direction and the current advancing picture are automatically identified according to the advancing locomotive, and the travelling crane is the automatic amplification of the picture, the whole process is automatically finished, manual intervention is not needed, and the locomotive is convenient to use.
The intelligent adding and taking integrated early warning system of the locomotive can perform frame extraction, decoding, storage and early warning on each path of video, and can accurately and intelligently manage the locomotive through analysis software of the mobile phone end and the PC end 50. The traditional mode that only a mouse is used for driving the locomotive and remote control is changed, and the driving safety is greatly improved.
While the foregoing is directed to embodiments of the present invention, it will be understood by those skilled in the art that various changes may be made without departing from the spirit and scope of the invention.

Claims (9)

1. An intelligent early warning method for a locomotive is characterized by comprising the following steps:
acquiring data packets transmitted by each intelligent camera in real time, wherein a scene algorithm is arranged in each intelligent camera to judge whether the acquired image is a preset event or not in real time;
decoding data packets transmitted by each intelligent camera;
judging whether the decoded data packet is a preset event or not;
displaying the decoded data through a display screen; wherein, the images collected by each intelligent camera are displayed on a display screen; meanwhile, if the decoded data packet is judged to be a preset event, the preset event is prompted through voice, and the picture of the preset event is amplified;
after the decoding of the data packets transmitted by the intelligent cameras, the intelligent early warning method for the locomotive further comprises the following steps: storing the decoded data; and storing the images acquired by the intelligent cameras in a segmented manner according to time periods, and extracting preset events and then storing the preset events independently.
2. The intelligent locomotive early-warning method according to claim 1, wherein the images collected by the intelligent cameras are stored in a hard disk, the preset events are stored in a memory card, and the preset events comprise road condition preset events, coupler preset events, fire preset events and personnel preset events.
3. The intelligent locomotive early warning method according to claim 2, wherein the intelligent cameras further comprise a front road condition detection camera and a rear road condition detection camera;
the front road condition detection camera is used for acquiring the conditions of a front rail and the periphery of the rail of the locomotive in real time and analyzing a preset scene according to acquired data to judge whether the condition is a road condition preset event or not;
the rear road condition detection camera is used for acquiring conditions of a rear track and the periphery of the track of the locomotive in real time and analyzing a preset scene according to acquired data to judge whether the condition is a road condition preset event.
4. The intelligent locomotive early warning method according to claim 3, wherein the intelligent cameras comprise a front coupler detection camera and a rear coupler detection camera, the front coupler detection camera is used for detecting whether the collision and the distance between the locomotive and the rear vehicle coupler coupling are coupler preset events, and the rear coupler detection camera is used for detecting whether the collision and the distance between the locomotive and the rear vehicle coupler coupling are coupler preset events.
5. The intelligent locomotive early warning method according to claim 4, wherein after the step of decoding the data packets transmitted by each intelligent camera, the method further comprises: and marking the preset events transmitted by the intelligent cameras into different colors.
6. The locomotive intelligent warning method of claim 5, further comprising:
acquiring the locomotive speed transmitted by a locomotive working condition recognition device;
switching images collected by a front coupler detection camera or a rear coupler detection camera in a display screen according to the speed of the locomotive; or images acquired by the front road condition detection camera and the rear road condition detection camera are switched in the display screen according to the speed of the locomotive.
7. The utility model provides a locomotive intelligence early warning system which characterized in that includes: a plurality of intelligent cameras and an on-screen display integrated device for executing the intelligent early warning method of the locomotive according to any one of claims 1 to 6;
the screen display integrated device comprises: the processor is electrically connected with the radio frequency module, the interactive display screen, the Ethernet interactive module, the power management module and the voice playing device;
the power management module is respectively and electrically connected with the radio frequency module, the interactive display screen, the Ethernet interactive module and the voice playing device, the intelligent cameras are all connected with the Ethernet interactive module, the voice playing device is electrically connected with the processor, and a scene algorithm program for judging whether the acquired images are preset events or not is arranged in the intelligent cameras.
8. The intelligent locomotive early warning system according to claim 7, wherein the screen display integrated device further comprises a hard disk and a memory card electrically connected to the processor, wherein the hard disk is used for storing the images collected by each intelligent camera, and the memory card is used for storing the preset events.
9. The locomotive intelligent warning system of claim 8, further comprising a locomotive condition identification device electrically connected to the processor, the locomotive condition identification device configured to detect a locomotive condition.
CN202210631906.8A 2022-06-07 2022-06-07 Intelligent early warning method and early warning system for locomotive Pending CN114715220A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116750040A (en) * 2023-08-23 2023-09-15 天津阿尔法优联电气有限公司 Safety operation early warning method and system for subway driver controller

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110717477A (en) * 2019-10-22 2020-01-21 深圳市微度数字技术有限公司 Intelligent early warning and analyzing device for track
KR102131437B1 (en) * 2020-03-09 2020-07-08 (주)지인테크 Adaptive video surveillance system and method
CN113066196A (en) * 2021-03-25 2021-07-02 深圳龙铁高科技术有限公司 Locomotive wireless top-delivery operation visual early warning system and method
CN113256924A (en) * 2020-02-12 2021-08-13 中车唐山机车车辆有限公司 Monitoring system, monitoring method and monitoring device for rail train
CN214929319U (en) * 2021-03-25 2021-11-30 深圳龙铁高科技术有限公司 Locomotive safety vision early warning system
CN114475712A (en) * 2022-01-14 2022-05-13 中车青岛四方机车车辆股份有限公司 Passenger monitoring system and method and rail train

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110717477A (en) * 2019-10-22 2020-01-21 深圳市微度数字技术有限公司 Intelligent early warning and analyzing device for track
CN113256924A (en) * 2020-02-12 2021-08-13 中车唐山机车车辆有限公司 Monitoring system, monitoring method and monitoring device for rail train
KR102131437B1 (en) * 2020-03-09 2020-07-08 (주)지인테크 Adaptive video surveillance system and method
CN113066196A (en) * 2021-03-25 2021-07-02 深圳龙铁高科技术有限公司 Locomotive wireless top-delivery operation visual early warning system and method
CN214929319U (en) * 2021-03-25 2021-11-30 深圳龙铁高科技术有限公司 Locomotive safety vision early warning system
CN114475712A (en) * 2022-01-14 2022-05-13 中车青岛四方机车车辆股份有限公司 Passenger monitoring system and method and rail train

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116750040A (en) * 2023-08-23 2023-09-15 天津阿尔法优联电气有限公司 Safety operation early warning method and system for subway driver controller
CN116750040B (en) * 2023-08-23 2023-10-20 天津阿尔法优联电气有限公司 Safety operation early warning method and system for subway driver controller

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Application publication date: 20220708