CN116853319A - Subway operation monitoring system and monitoring method thereof - Google Patents
Subway operation monitoring system and monitoring method thereof Download PDFInfo
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- CN116853319A CN116853319A CN202310999598.9A CN202310999598A CN116853319A CN 116853319 A CN116853319 A CN 116853319A CN 202310999598 A CN202310999598 A CN 202310999598A CN 116853319 A CN116853319 A CN 116853319A
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- track
- image
- train
- images
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 35
- 238000000034 method Methods 0.000 title claims abstract description 18
- 230000011664 signaling Effects 0.000 claims abstract description 4
- 238000013507 mapping Methods 0.000 claims description 6
- 238000012545 processing Methods 0.000 claims description 6
- 238000010276 construction Methods 0.000 description 5
- 230000000694 effects Effects 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 238000012549 training Methods 0.000 description 1
Classifications
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B61—RAILWAYS
- B61L—GUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
- B61L23/00—Control, warning, or like safety means along the route or between vehicles or vehicle trains
- B61L23/04—Control, warning, or like safety means along the route or between vehicles or vehicle trains for monitoring the mechanical state of the route
- B61L23/041—Obstacle detection
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B61—RAILWAYS
- B61L—GUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
- B61L15/00—Indicators provided on the vehicle or vehicle train for signalling purposes ; On-board control or communication systems
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/74—Image or video pattern matching; Proximity measures in feature spaces
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
Abstract
The invention discloses a subway operation monitoring system and a monitoring method thereof, which belong to the technical field of subway safety and specifically comprise the following steps: the track monitoring module is used for acquiring a track image of a road section in front of the driving train; the obstacle recognition module is used for comparing the track image with a standard track image of the same road section, recognizing whether the track obstacle exists according to the comparison result, if so, sending out an early warning signal, otherwise, continuing to recognize; the train control module is used for receiving the deceleration signal and controlling the train to stop; the invention compares the real-time track image with the standard track image, and judges whether the track obstacle exists in the front track or not by identifying the difference area of the real-time track image and the standard track image, thereby realizing the automatic identification of the track obstacle.
Description
Technical Field
The invention relates to the technical field of subway safety, in particular to a subway operation monitoring system and a monitoring method thereof.
Background
Over ten years of development, the subway construction in China has entered a very critical post-and-socket stage. On the one hand, through high-speed construction for more than ten years, urban subways in China form a huge and complex network with hundreds of lines and operation mileage exceeding tens of thousands of kilometers. On the other hand, in subway construction operation practice, abundant experience is accumulated, and meanwhile, some teaching and training problems exist. In the next decade, subways in various provinces in China are also constructed successively, and the difficulty and complexity of safety management in operation are further improved.
But the foreknowledge technology and means research on the metro tunnel structure and operation safety possibly endangered in the metro range all over the world are less. In japan, measures are often taken by management means, that is, engineering activities possibly involving the safety of tunnels are submitted to subway construction operation units for auditing before construction, and possible damages to subway structures are strictly calculated, so that corresponding control is performed. While European and American countries have tried to monitor by means of GPS, satellite photography, large-area aerial photography and the like. However, the use and popularization of the conventional products have not been achieved due to problems such as high cost, poor operability, and effects.
Disclosure of Invention
The invention aims to provide a subway operation monitoring system and a monitoring method thereof, which solve the following technical problems:
the existing subway operation system has not been formally used and popularized due to the problems of high cost, poor operation feasibility, effect and the like.
The aim of the invention can be achieved by the following technical scheme:
a subway operation monitoring system and a monitoring method thereof comprise the following steps:
the track monitoring module is used for acquiring a track image of a road section in front of the driving train;
the obstacle recognition module is used for comparing the track image with a standard track image of the same road section, recognizing whether the track obstacle exists according to the comparison result, if so, sending out an early warning signal, otherwise, continuing to recognize;
and the train control module is used for receiving the deceleration signal and controlling the train to stop.
As a further scheme of the invention: the obstacle recognition module includes:
and the standard track images are generated through the history images of the operation lines, the history images are sequentially overlapped, images except the track images are deleted, the track images are reserved, and when the track images of the complete operation lines are obtained, the overlapping of the history images is stopped, so that the standard track images of the operation lines are obtained.
As a further scheme of the invention: the obstacle recognition module includes:
and replacing the train image in the track image with a track base image, extracting the track base image from the standard track image, identifying the rail reserved in the track image, extending the rail along the original path, and connecting the rail through the track base image into a complete rail, so that a real-time track image is obtained.
As a further scheme of the invention: the track monitoring module includes:
the front road section is divided into a high priority area, a medium priority area and a low priority area, the length of the front road section is that the higher the priority is, the earlier the identification sequence is, the range of the high priority area is the front of the train, the range of the medium priority area is twice the range of the high priority area, and the range of the low priority area is three times the range of the high priority area.
As a further scheme of the invention: the process of obtaining the standard track image by the obstacle recognition module is as follows:
the method comprises the steps of obtaining current coordinates of a train, obtaining mapping positions of the current coordinates in a standard track image, extracting standard track images with low priority area length along the running direction of the train by taking the mapping positions as starting points, and equally dividing the extracted standard track images into a first area image, a second area image and a third area image, wherein the first area image, the second area image and the third area image sequentially correspond to a high priority area, a medium priority area and a low priority area.
As a further scheme of the invention: the obstacle recognition module includes:
and carrying out gray processing on the real-time track image to obtain a first gray image, carrying out gray processing on a standard track image of the same road section as the real-time track image to obtain a second gray image, extracting difference areas with different gray values of the first gray image and the second gray image, respectively calculating the actual size of the difference areas, judging that the track is obstructed if the difference areas with the actual size exceeding a preset first threshold exist, and continuously identifying if the difference areas with the actual size exceeding a preset first threshold exist.
A subway operation monitoring method comprises the following steps:
acquiring a track image of a road section in front of a driving train;
comparing the track image with a standard track image of the same road section, and identifying whether track obstacles exist according to the comparison result, if so, sending out an early warning signal, otherwise, continuing to identify;
and receiving the deceleration signal to control the train to stop.
The invention has the beneficial effects that:
for possible obstacles in the track, the real-time track image is compared with the standard track image, and whether the track obstacle exists in the front track is judged by identifying the difference area of the real-time track image and the standard track image, so that the automatic identification of the track obstacle and automatic parking are realized.
Drawings
The invention is further described below with reference to the accompanying drawings.
Fig. 1 is a schematic flow chart of a subway operation monitoring system and a monitoring method thereof.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the present invention is a subway operation monitoring system and a monitoring method thereof, comprising the following steps:
a subway operation monitoring system and a monitoring method thereof comprise the following steps:
the track monitoring module is used for acquiring a track image of a road section in front of the driving train;
the obstacle recognition module is used for comparing the track image with a standard track image of the same road section, recognizing whether the track obstacle exists according to the comparison result, if so, sending out an early warning signal, otherwise, continuing to recognize;
and the train control module is used for receiving the deceleration signal and controlling the train to stop.
In a preferred embodiment of the present invention, the obstacle recognition module includes:
and the standard track images are generated through the history images of the operation lines, the history images are sequentially overlapped, images except the track images are deleted, the track images are reserved, and when the track images of the complete operation lines are obtained, the overlapping of the history images is stopped, so that the standard track images of the operation lines are obtained.
In a preferred embodiment of the present invention, the obstacle recognition module includes:
and replacing the train image in the track image with a track base image, extracting the track base image from the standard track image, identifying the rail reserved in the track image, extending the rail along the original path, and connecting the rail through the track base image into a complete rail, so that a real-time track image is obtained.
In a preferred embodiment of the invention, the track monitoring module comprises:
the front road section is divided into a high priority area, a medium priority area and a low priority area, the length of the front road section is that the higher the priority is, the earlier the identification sequence is, the range of the high priority area is the front of the train, the range of the medium priority area is twice the range of the high priority area, and the range of the low priority area is three times the range of the high priority area.
In a preferred embodiment of the present invention, the process of acquiring the standard track image by the obstacle identifying module is:
the method comprises the steps of obtaining current coordinates of a train, obtaining mapping positions of the current coordinates in a standard track image, extracting standard track images with low priority area length along the running direction of the train by taking the mapping positions as starting points, and equally dividing the extracted standard track images into a first area image, a second area image and a third area image, wherein the first area image, the second area image and the third area image sequentially correspond to a high priority area, a medium priority area and a low priority area.
In a preferred embodiment of the present invention, the obstacle recognition module includes:
and carrying out gray processing on the real-time track image to obtain a first gray image, carrying out gray processing on a standard track image of the same road section as the real-time track image to obtain a second gray image, extracting difference areas with different gray values of the first gray image and the second gray image, respectively calculating the actual size of the difference areas, judging that the track is obstructed if the difference areas with the actual size exceeding a preset first threshold exist, and continuously identifying if the difference areas with the actual size exceeding a preset first threshold exist.
A subway operation monitoring method comprises the following steps:
acquiring a track image of a road section in front of a driving train;
comparing the track image with a standard track image of the same road section, and identifying whether track obstacles exist according to the comparison result, if so, sending out an early warning signal, otherwise, continuing to identify;
and receiving the deceleration signal to control the train to stop.
The foregoing describes one embodiment of the present invention in detail, but the description is only a preferred embodiment of the present invention and should not be construed as limiting the scope of the invention. All equivalent changes and modifications within the scope of the present invention are intended to be covered by the present invention.
Claims (7)
1. A subway operation monitoring system, comprising:
the track monitoring module is used for acquiring a track image of a road section in front of the driving train;
the obstacle recognition module is used for comparing the track image with a standard track image of the same road section, recognizing whether the track obstacle exists according to the comparison result, if so, sending out an early warning signal, otherwise, continuing to recognize;
and the train control module is used for receiving the deceleration signal and controlling the train to stop.
2. The subway operation monitoring system according to claim 1, wherein the obstacle recognition module includes:
and the standard track images are generated through the history images of the operation lines, the history images are sequentially overlapped, images except the track images are deleted, the track images are reserved, and when the track images of the complete operation lines are obtained, the overlapping of the history images is stopped, so that the standard track images of the operation lines are obtained.
3. The subway operation monitoring system according to claim 1, wherein the obstacle recognition module includes:
and replacing the train image in the track image with a track base image, extracting the track base image from the standard track image, identifying the rail reserved in the track image, extending the rail along the original path, and connecting the rail through the track base image into a complete rail, so that a real-time track image is obtained.
4. The subway operation monitoring system according to claim 1, wherein the track monitoring module includes:
the front road section is divided into a high priority area, a medium priority area and a low priority area, the length of the front road section is that the higher the priority is, the earlier the identification sequence is, the range of the high priority area is the front of the train, the range of the medium priority area is twice the range of the high priority area, and the range of the low priority area is three times the range of the high priority area.
5. A subway operation monitoring system according to claim 3, wherein the process of obtaining the standard track image by the obstacle identifying module is:
the method comprises the steps of obtaining current coordinates of a train, obtaining mapping positions of the current coordinates in a standard track image, extracting standard track images with low priority area length along the running direction of the train by taking the mapping positions as starting points, and equally dividing the extracted standard track images into a first area image, a second area image and a third area image, wherein the first area image, the second area image and the third area image sequentially correspond to a high priority area, a medium priority area and a low priority area.
6. The subway operation monitoring system according to claim 1, wherein the obstacle recognition module includes:
and carrying out gray processing on the real-time track image to obtain a first gray image, carrying out gray processing on a standard track image of the same road section as the real-time track image to obtain a second gray image, extracting difference areas with different gray values of the first gray image and the second gray image, respectively calculating the actual size of the difference areas, judging that the track is obstructed if the difference areas with the actual size exceeding a preset first threshold exist, and continuously identifying if the difference areas with the actual size exceeding a preset first threshold exist.
7. A subway operation monitoring method of a subway operation monitoring system according to claim 1, comprising the steps of:
acquiring a track image of a road section in front of a driving train;
comparing the track image with a standard track image of the same road section, and identifying whether track obstacles exist according to the comparison result, if so, sending out an early warning signal, otherwise, continuing to identify;
and receiving the deceleration signal to control the train to stop.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310999598.9A CN116853319A (en) | 2023-08-09 | 2023-08-09 | Subway operation monitoring system and monitoring method thereof |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310999598.9A CN116853319A (en) | 2023-08-09 | 2023-08-09 | Subway operation monitoring system and monitoring method thereof |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN116853319A true CN116853319A (en) | 2023-10-10 |
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310999598.9A Pending CN116853319A (en) | 2023-08-09 | 2023-08-09 | Subway operation monitoring system and monitoring method thereof |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117437598A (en) * | 2023-12-13 | 2024-01-23 | 山东大莱龙铁路有限责任公司 | Intelligent protection system for construction safety of adjacent business line |
-
2023
- 2023-08-09 CN CN202310999598.9A patent/CN116853319A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117437598A (en) * | 2023-12-13 | 2024-01-23 | 山东大莱龙铁路有限责任公司 | Intelligent protection system for construction safety of adjacent business line |
| CN117437598B (en) * | 2023-12-13 | 2024-02-27 | 山东大莱龙铁路有限责任公司 | Intelligent protection system for construction safety of adjacent business line |
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