A subway operation monitoring system and monitoring method thereof

Abstract

The invention discloses a subway operation monitoring system and a monitoring method thereof, which belong to the field of subway safety technology, and specifically comprises the following steps: a track monitoring module, which is used for acquiring a track image of a section ahead of a running train; an obstacle recognition module, which is used for comparing the track image with a standard track image of the same section, and identifying whether there is a track obstacle according to the comparison result, and if so, issuing a warning signal, otherwise continuing to recognize; a train control module, which 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 by identifying the difference area between the two, it is determined whether there is a track obstacle on the track ahead, thereby realizing automatic recognition of the track obstacle.

Description

Technical Field

[0001] The present invention relates to the technical field of subway safety, and in particular to a subway operation monitoring system and a monitoring method thereof. Background Art

[0002] After more than ten years of development, China's subway construction has entered a critical stage of transition. On the one hand, after more than ten years of high-speed construction, subways in various cities in China have formed a huge and complex network with hundreds of lines and an operating mileage of more than 10,000 kilometers. On the other hand, in the practice of subway construction and operation, rich experience has been accumulated, as well as some lessons and problems. In the next ten years, subways in various provinces and cities in China will continue to be built, and the difficulty and complexity of safety management in their operation will be further increased.

[0003] However, there are few studies on the predictive technologies and means that may endanger the structure and operation safety of subway tunnels in the subway area. Japan often adopts management measures, that is, before construction, the engineering activities that may involve the safety of the tunnel itself are submitted to the subway construction and operation unit for review, and the possible harm to the subway structure is strictly calculated, so as to carry out corresponding control. European and American countries have tried to use GPS, satellite photography and large-scale aerial photography for monitoring. However, due to high costs, poor operational feasibility, and ineffectiveness, it has not yet been officially used and popularized. Summary of the invention

[0004] The purpose of the present invention is to provide a subway operation monitoring system and a monitoring method thereof to solve the following technical problems:

[0005] The existing subway operation system has not yet been officially used and popularized due to problems such as high cost, poor operational feasibility and effectiveness.

[0006] The purpose of the present invention can be achieved through the following technical solutions:

[0007] A subway operation monitoring system and a monitoring method thereof, comprising:

[0008] Track monitoring module, used to obtain track images of the section ahead of the moving train;

[0009] An obstacle recognition module is used to compare the track image with a standard track image of the same section, and identify whether there is a track obstacle according to the comparison result, and issue a warning signal if yes, otherwise continue to identify;

[0010] The train control module is used to receive the deceleration signal and control the train to stop.

[0011] As a further solution of the present invention: the obstacle identification module includes:

[0012] The standard track image is generated by using historical images of the operating line. The historical images are superimposed in sequence, and images outside the track image are deleted and the track image is retained. When the track image of the complete operating line is obtained, the superposition of the historical images is stopped, and the standard track image of the operating line is obtained.

[0013] As a further solution of the present invention: the obstacle identification module includes:

[0014] The train image in the track image is replaced with a track base image, the track base image is extracted from the standard track image, the rails retained in the track image are identified, the rails are extended along the original path, and the rails pass through the track base image to connect to form a complete rail, thereby obtaining a real-time track image.

[0015] As a further solution of the present invention: the track monitoring module includes:

[0016] The road section ahead is divided into a high priority area, a medium priority area and a low priority area. The length of the road section ahead is , the higher the priority area, the higher the recognition order. 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.

[0017] As a further solution of the present invention: the process of the obstacle recognition module acquiring the standard track image is as follows:

[0018] The current coordinates of the train are obtained, and the mapping position of the current coordinates in the standard track image is obtained. The standard track image of the length of the low priority area is extracted along the travel direction of the train with the mapping position as the starting point, and the extracted standard track image is equidistantly divided 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 correspond to the high priority area, the medium priority area, and the low priority area, respectively.

[0019] As a further solution of the present invention: the obstacle identification module includes:

[0020] The real-time track image is gray-processed to obtain a first gray-scale image, and the standard track image of the same section as the real-time track image is gray-processed to obtain a second gray-scale image. The difference area between the first gray-scale image and the second gray-scale image is extracted, and the actual size of the difference area is calculated respectively. If there is a difference area whose actual size exceeds a preset first threshold, it is determined to be a track obstacle. If not, continue to identify.

[0021] A subway operation monitoring method comprises the following steps:

[0022] Acquire the track image of the section ahead of the moving train;

[0023] Comparing the track image with a standard track image of the same section, identifying whether there is a track obstacle based on the comparison result, and issuing a warning signal if yes, otherwise continuing to identify;

[0024] The deceleration signal is received to control the train to stop.

[0025] Beneficial effects of the present invention:

[0026] For possible obstacles in the track, the present invention compares the real-time track image with the standard track image, and by identifying the difference areas between the two, it is determined whether there is a track obstacle on the track ahead, thereby realizing automatic identification of the track obstacle and automatic parking. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] The present invention will be further described below in conjunction with the accompanying drawings.

[0028] Figure 1 The present invention is a flow chart of a subway operation monitoring system and a monitoring method thereof. DETAILED DESCRIPTION

[0029] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0030] See also Figure 1 As shown, the present invention is a subway operation monitoring system and a monitoring method thereof, comprising the following steps:

[0031] A subway operation monitoring system and a monitoring method thereof, comprising:

[0032] Track monitoring module, used to obtain track images of the section ahead of the moving train;

[0033] An obstacle recognition module is used to compare the track image with a standard track image of the same section, and identify whether there is a track obstacle according to the comparison result, and issue a warning signal if yes, otherwise continue to identify;

[0034] The train control module is used to receive the deceleration signal and control the train to stop.

[0035] In a preferred embodiment of the present invention, the obstacle identification module includes:

[0036] The standard track image is generated by using historical images of the operating line. The historical images are superimposed in sequence, and images outside the track image are deleted and the track image is retained. When the track image of the complete operating line is obtained, the superposition of the historical images is stopped, and the standard track image of the operating line is obtained.

[0037] In a preferred embodiment of the present invention, the obstacle identification module includes:

[0038] The train image in the track image is replaced with a track base image, the track base image is extracted from the standard track image, the rails retained in the track image are identified, the rails are extended along the original path, and the rails pass through the track base image to connect to form a complete rail, thereby obtaining a real-time track image.

[0039] In a preferred embodiment of the present invention, the track monitoring module includes:

[0040] The road section ahead is divided into a high priority area, a medium priority area and a low priority area. The length of the road section ahead is , the higher the priority area, the higher the recognition order. 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.

[0041] In a preferred embodiment of the present invention, the process of the obstacle recognition module acquiring the standard track image is as follows:

[0042] The current coordinates of the train are obtained, and the mapping position of the current coordinates in the standard track image is obtained. The standard track image of the length of the low priority area is extracted along the travel direction of the train with the mapping position as the starting point, and the extracted standard track image is equidistantly divided 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 correspond to the high priority area, the medium priority area, and the low priority area, respectively.

[0043] In a preferred embodiment of the present invention, the obstacle identification module includes:

[0044] The real-time track image is gray-processed to obtain a first gray-scale image, and the standard track image of the same section as the real-time track image is gray-processed to obtain a second gray-scale image. The difference area between the first gray-scale image and the second gray-scale image is extracted, and the actual size of the difference area is calculated respectively. If there is a difference area whose actual size exceeds a preset first threshold, it is determined to be a track obstacle. If not, continue to identify.

[0045] A subway operation monitoring method comprises the following steps:

[0046] Acquire the track image of the section ahead of the moving train;

[0047] Comparing the track image with a standard track image of the same section, identifying whether there is a track obstacle based on the comparison result, and issuing a warning signal if yes, otherwise continuing to identify;

[0048] The deceleration signal is received to control the train to stop.

[0049] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A subway operation monitoring system, characterized in that: include: Track monitoring module, used to obtain track images of the section ahead of the moving train; An obstacle recognition module is used to compare the track image with a standard track image of the same section, and identify whether there is a track obstacle according to the comparison result, and issue a warning signal if yes, otherwise continue to identify; The train control module is used to receive the deceleration signal and control the train to stop; The obstacle recognition module comprises: The standard track image is generated by using the historical images of the operating line. The historical images are sequentially superimposed, and images other than the track image are deleted, and the track image is retained. When the track image of the complete operating line is obtained, the superposition of the historical images is stopped, and the standard track image of the operating line is obtained. The train image in the track image is replaced with a track base image, the track base image is extracted from the standard track image, the rails retained in the track image are identified, the rails are extended along the original path, and the rails pass through the track base image and are connected to form a complete rail, thereby obtaining a real-time track image; The track monitoring module includes: The road section ahead is divided into a high priority area, a medium priority area and a low priority area, the length of the road section ahead is, the higher the priority area, the higher the recognition order, 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; The process of the obstacle recognition module acquiring the standard track image is as follows: Acquire the current coordinates of the train, acquire the mapping position of the current coordinates in the standard track image, extract the standard track image of the length of the low priority area along the travel direction of the train with the mapping position as the starting point, and divide the extracted standard track image into a first area image, a second area image and a third area image at equal intervals, wherein the first area image, the second area image and the third area image correspond to the high priority area, the medium priority area and the low priority area in sequence; The obstacle recognition module comprises: The real-time track image is gray-processed to obtain a first gray-scale image, and the standard track image of the same section as the real-time track image is gray-processed to obtain a second gray-scale image. The difference area between the first gray-scale image and the second gray-scale image is extracted, and the actual size of the difference area is calculated respectively. If there is a difference area whose actual size exceeds a preset first threshold, it is determined to be a track obstacle. If not, continue to identify.

2. A subway operation monitoring method of a subway operation monitoring system according to claim 1, characterized in that: The following steps are involved: Acquire the track image of the section ahead of the moving train; Comparing the track image with a standard track image of the same section, identifying whether there is a track obstacle based on the comparison result, and issuing a warning signal if yes, otherwise continuing to identify; The deceleration signal is received to control the train to stop.

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