Route detection system for abnormal train receiving and departure of railway station
By designing an abnormal train route detection system for railway stations, the problem of weakening of route confirmation capabilities of on-duty personnel under abnormal conditions is solved, automatic inspection and remote review of routes are realized, human operation errors are eliminated, and operation safety is ensured.
Patent Information
- Application Number
- CN202421757263.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Utility models(China)
- Current Assignee / Owner
- Filing Date
- 2024-07-24
- Publication Date
- 2025-04-25
- Estimated Expiration
- 2034-07-24
AI Technical Summary
In abnormal train retrieval and dispatch operations at railway stations, due to the long-term failure of the duty officer to participate in actual operations, the ability to confirm the route under abnormal circumstances is weakened, and there may be situations where the route arrangement error is not found, which affects safety.
An abnormal train route detection system has been designed, including a route detector, cloud server, operation and management. The remote data transmission and real-time video transmission are realized through wireless network and cloud server. The route detector can automatically detect track switches and obstacles, and the AI identification control unit can automatically complete the detection task.
It realizes automatic inspection and confirmation of station routes and early warning prompts for wrong routes. It has the remote review function of operators for abnormal train routes, eliminates human operation errors, and ensures the safety of abnormal train routes.
Smart Images
Figure CN222793512U_ABST
Abstract
Description
Technical Field
[0001] The utility model relates to the technical field of railway safety, in particular to a detection system for abnormal train approach reception and dispatching at railway stations. Background Art
[0002] The statements in this section merely provide background information related to the present disclosure and may not constitute prior art.
[0003] In the daily operation of railway stations, operation safety management includes two parts: receiving and dispatching trains and shunting work, and the focus of operation safety management is on the safety of abnormal receiving and dispatching trains and preventing locomotives and vehicles from slipping. Station receiving and dispatching train operations under abnormal conditions refer to station operations where the original operation method must be changed due to reasons such as equipment failure, maintenance, natural disasters and changes in operating conditions.
[0004] In the CTC centralized dispatching mode, the station attendant does not need to participate in any operation, but is only responsible for monitoring the train route in front of the control console. When station operations occur under abnormal circumstances, the attendant in the operation room can only confirm the route with the on-site confirmation personnel through voice calls on the intercom. Due to the long-term lack of participation in the actual operation of station operations, the ability to handle station operations under abnormal circumstances has weakened. When route confirmation is required in the event of abnormal train reception and dispatch, due to the influence of the professional quality of on-site personnel and environmental factors, the route arrangement error may not be discovered. At the same time, there is information asymmetry between the on-duty personnel in the operation room and the on-site confirmation personnel, and the indoor duty personnel cannot make a second confirmation. It is pointed out that the route error cannot be corrected in time, which may lead to unsafe operations such as opening in the wrong direction, connecting the wrong track, and failing to confirm the bad branch.
[0005] With the continuous successful application of technologies such as artificial intelligence, image recognition, and big data, it is necessary to develop an abnormal train route detection system suitable for station equipment failures, to achieve automatic confirmation of station routes and early warning of incorrect routes, so that operating personnel can remotely review abnormal train routes, eliminate human operational errors, and provide technical support to ensure the operational safety of abnormal trains. Utility Model Content
[0006] The purpose of the utility model is to provide a system for detecting abnormal train routes for receiving and sending trains at railway stations in response to the problems existing in the prior art, which realizes automatic inspection and confirmation of station routes, early warning of erroneous routes, and has the function of remote review of abnormal train routes by operating personnel, thereby eliminating human operating errors and ensuring the safety of abnormal train receiving and sending operations.
[0007] The technical solution of the utility model is as follows:
[0008] A route detection system for abnormal train reception and dispatching at a railway station comprises: a route detector, a cloud service end, an operation end, and a management end; the cloud service end runs in a cloud server in a railway intranet and is used to realize remote transmission and reception of data; the route detector is connected to the cloud service end via a wireless network, and the operation end and the management end are connected to the cloud service end via a railway intranet; the route detector travels on a track and is used for track detection and data return; the operation end is arranged in a station operation room and is used to control the travel of the route detector; the management end can be arranged in all places accessible by the railway intranet and is used for daily management of the route detector and the operation end.
[0009] Furthermore, the route detector can detect the working position of the track switch, can detect obstacles on the track, can automatically avoid collisions and obstacles during the detection process, can automatically return to the starting position or the designated position after completing the detection, can indicate the detection status through indicator lights, can automatically adjust the brightness of the indicator lights, can control driving through the operating end, and can transmit video back to the operating end and the management end in real time through the cloud service end.
[0010] Furthermore, the cloud service end can forward the image information and operation detection status sent back by the route detector to the operation end and the management end, and can also forward the instructions and data of the operation end and the management end to the route detector, and can also store all status and instruction data of the operation end, the management end and the route detector.
[0011] Furthermore, the operating end is used for planning the driving path of the route detector on the track and for real-time display of the driving position, driving speed, detection status, operating status, and video of the route detector.
[0012] Furthermore, the management end is used for replaying all operating states, route planning, operation instructions, and route videos of the route detector and the operation end, as well as user authentication, data grouping, and construction of station basic information of the operation end.
[0013] Furthermore, the route detector comprises: a walking unit, a mechanical device unit, a sensor unit and an AI recognition control unit;
[0014] The travel unit is used for traveling on the track;
[0015] The sensor unit is used to obtain the on-orbit position, environmental vision, and environmental stereo data of the approach detector;
[0016] The mechanical device unit is used to carry the walking unit, the sensor unit and the AI recognition control unit;
[0017] The AI recognition control unit can automatically complete the detection task according to the path planned by the operating end.
[0018] Furthermore, the travel unit comprises: rail wheels, which are divided into active rail wheels and driven rail wheels;
[0019] The active rail wheel is connected to the mechanical device unit through a bearing and is connected to the driving motor through a bolt; the driven rail wheel is connected to the mechanical device unit through a bearing.
[0020] Furthermore, the mechanical device unit includes: an equipment housing, a large arm and an arm folding mechanism component; one end of the large arm is connected to the equipment housing through the arm folding mechanism component, and the other end of the large arm is connected to the rail wheel through a bearing.
[0021] Furthermore, a status indicator light and a sensor unit are provided on the device housing, the AI recognition control unit is located inside the device housing, and the status indicator light is controlled by the AI recognition control unit to display status information of the route detector during operation.
[0022] Furthermore, the sensor unit comprises:
[0023] High-definition camera, Beidou positioning component and radar sensor; the high-definition camera is used to transmit orbital image information to the AI recognition control unit; the Beidou positioning component provides real-time and accurate position information for the approach detector; the radar sensor uses the reflection principle of electromagnetic waves to detect and measure the relative position information of objects.
[0024] Compared with the existing technology, the beneficial effects of the utility model are:
[0025] A system for detecting abnormal train routes at railway stations realizes automatic inspection and confirmation of station routes, early warning of incorrect routes, and has the function of remote review of abnormal train routes by operating personnel, thereby eliminating human operating errors and ensuring the safety of abnormal train routes. BRIEF DESCRIPTION OF THE DRAWINGS
[0026] Figure 1 A network diagram of a system for detecting abnormal train route reception and dispatching at railway stations;
[0027] Figure 2 This is a schematic diagram of the structure of the route detector.
[0028] Figure numerals: 1- route detector, 2- track wheel, 3- status indicator light, 4- AI recognition control unit, 5- sensor unit, 6- equipment housing, 7- large support arm, 8- support arm folding mechanism component, 9- track. DETAILED DESCRIPTION
[0029] It should be noted that relational terms such as "first" and "second" are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.
[0030] The features and performance of the present invention are further described in detail below in conjunction with the embodiments.
[0031] Embodiment 1
[0032] See also Figure 1-2 , a system for detecting abnormal train route for receiving and dispatching at railway stations, specifically comprising:
[0033] An approach detector 1, a cloud service end, an operation end, and a management end; the cloud service end runs in a cloud server in a railway intranet and is used to realize remote transmission and reception of data; the approach detector 1 is connected to the cloud service end via a wireless network, and the operation end and the management end are connected to the cloud service end via a railway intranet; the approach detector 1 travels on a track 9 and is used for track 9 detection and data feedback; the operation end is arranged in a station operation room and is used to control the travel of the approach detector 1; the management end can be arranged in all places accessible to the railway intranet and is used for daily management of the approach detector 1 and the operation end.
[0034] In this embodiment, specifically, the route detector 1 can detect the working position of the turnout on the track 9, can detect obstacles on the track 9, can automatically avoid collisions and obstacles during the detection process, can automatically return to the starting position or the specified position after completing the detection, can indicate the detection status through indicator lights, can automatically adjust the brightness of the indicator lights, can control driving (direction, speed, distance) through the operating end, and can transmit video back to the operating end and the management end in real time through the cloud service end.
[0035] In this embodiment, specifically, the cloud service end can forward the image information and operation detection status sent back by the route detector 1 to the operation end and the management end, and can also forward the instructions and data of the operation end and the management end to the route detector 1, and can also store all status and instruction data of the operation end, the management end and the route detector 1.
[0036] In this embodiment, specifically, the operating end is used for planning the driving path of the route detector 1 on the track 9 and for real-time display of the driving position, driving speed, detection status, operation status, and video of the route detector 1.
[0037] In this embodiment, specifically, the management terminal is used for replaying all operating states, route planning, operation instructions, and route videos of the route detector 1 and the operation terminal, as well as user authentication, data grouping, and construction of station basic information of the operation terminal.
[0038] In this embodiment, it should be noted that the route detector 1 has the functions of constant speed, constant distance, and constant speed and constant distance cruising.
[0039] In this embodiment, specifically, the route detector 1 includes: a walking unit, a mechanical device unit, a sensor unit 5 and an AI recognition control unit 4;
[0040] The travel unit is used for traveling on the track 9;
[0041] The sensor unit 5 is used to obtain the on-track position, environmental vision, and environmental stereo data of the route detector 1;
[0042] The mechanical device unit is used to carry the walking unit, the sensor unit 5 and the AI recognition control unit 4;
[0043] The AI recognition control unit 4 can automatically complete the detection task according to the path planned by the operating end.
[0044] In this embodiment, specifically, the walking unit includes: a track 9 wheel 2, wherein the track 9 wheel 2 is divided into an active track 9 wheel 2 and a driven track 9 wheel 2;
[0045] The active track 9 wheels 2 are connected to the mechanical device unit through bearings and connected to the driving motor through bolts; the driven track 9 wheels 2 are connected to the mechanical device unit through bearings.
[0046] In this embodiment, specifically, the mechanical device unit includes: an equipment housing 6, a large support arm 7 and an arm folding mechanism component 8; one end of the large support arm 7 is connected to the equipment housing 6 through the arm folding mechanism component 8, and the other end of the large support arm 7 is connected to the track 9 wheel 2 through a bearing, that is, it can meet the walking and storage requirements of the track 9 by folding; the arm folding mechanism component 8 provides structural support for the approach detector 1 to be able to walk smoothly on the track 9 and be conveniently folded and stored.
[0047] In this embodiment, specifically, a status indicator light 3 and a sensor unit 5 are provided on the device housing 6, and the AI recognition control unit 4 is located inside the device housing 6. The status indicator light 3 is controlled by the AI recognition control unit 4 to display the status information of the access detector 1 during operation; it should be noted that the status indicator light 3 is connected to the AI recognition control unit 4 through a shielded cable; the sensor unit 5 is connected to the AI recognition control unit 4 through a plug-in and a shielded cable.
[0048] In this embodiment, specifically, the sensor unit 5 includes:
[0049] High-definition camera, Beidou positioning component and radar sensor; the high-definition camera is used to transmit the track 9 image information to the AI recognition control unit 4; the Beidou positioning component provides real-time and accurate position information for the route detector 1; the radar sensor uses the reflection principle of electromagnetic waves to detect and measure the relative position, speed, distance and other information of objects, and provides obstacle avoidance and other functions for the functions required by the detector in practical applications.
[0050] In this embodiment, it should be noted that the AI recognition control unit 4 usually includes one or more high-performance processor cores for executing programs and controlling other hardware components, and is configured with a variety of interfaces and buses for communicating with external devices (such as cameras, sensors, etc.).
[0051] In the present application, it should also be noted that the algorithms and control methods involved in the present application are all conventional technologies of the present application and will not be described in detail here. What the present application seeks to protect is its system structure.
[0052] The present application proposes a system for detecting the route of trains that are not normally received or dispatched at railway stations. In specific application scenarios, the system can realize route confirmation, personnel management, automatic path planning and decision-making assistance functions by building a simulation model of the starting station line. It can also detect and judge the opening status of the line turnout in real time, simulate the train operation according to the route plan, realize automatic detection and confirmation of the station route, and has the function of warning of route errors and precautions. The system can simulate the train operation according to the route plan to realize automatic detection and confirmation of the station route.
[0053] The above-mentioned embodiments only express the specific implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the protection scope of the present application. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the technical solution concept of the present application, and these all belong to the protection scope of the present application.
[0054] This background technology section is provided to generally present the context of the present invention, and the work of the currently named inventors, the work to the extent described in this background technology section, and aspects of this section that did not constitute prior art at the time of application are neither explicitly nor implicitly admitted to be prior art of the present invention.
Claims
1. A system for detecting abnormal train route for railway stations, characterized in that: include: Access detector, cloud service terminal, operation terminal, and management terminal; The cloud service end runs in the railway intranet cloud server and is used to realize remote data transmission and reception; the route detector is connected to the cloud service end through a wireless network, and the operation end and the management end are connected to the cloud service end through the railway intranet; the route detector travels on the track and is used for track detection and data return; The operating terminal is arranged in the station operation room and is used to control the travel of the route detector; the management terminal can be arranged in all places accessible by the railway intranet and is used for the daily management of the route detector and the operating terminal.
2. A system for detecting abnormal train routes at railway stations according to claim 1, characterized in that: The route detector can detect the working position of the track switch, can detect obstacles on the track, can automatically avoid collisions and obstacles during the detection process, can automatically return to the starting position or the specified position after completing the detection, can indicate the detection status through indicator lights, can automatically adjust the brightness of the indicator lights, can control driving through the operation end, and can transmit videos back to the operation end and the management end in real time through the cloud service end.
3. The system for detecting abnormal train routes at railway stations according to claim 1, characterized in that: The cloud service end can forward the image information and operation detection status sent back by the route detector to the operation end and the management end, and can also forward the instructions and data of the operation end and the management end to the route detector, and can also store all status and instruction data of the operation end, the management end and the route detector.
4. A system for detecting abnormal train routes at railway stations according to claim 1, characterized in that: The operating end is used for planning the driving path of the route detector on the track and for real-time display of the driving position, driving speed, detection status, operating status and video of the route detector.
5. The system for detecting abnormal train route for railway stations according to claim 1 is characterized in that: The management end is used for replaying all operating states, route planning, operation instructions, and route videos of the route detector and the operation end, as well as user authentication, data grouping, and construction of station basic information of the operation end.
6. The system for detecting abnormal train routes at railway stations according to claim 1, characterized in that: The route detector comprises: a walking unit, a mechanical device unit, a sensor unit and an AI recognition control unit; The travel unit is used for traveling on the track; The sensor unit is used to obtain the on-orbit position, environmental vision, and environmental stereo data of the approach detector; The mechanical device unit is used to carry the walking unit, the sensor unit and the AI recognition control unit; The AI recognition control unit can automatically complete the detection task according to the path planned by the operating end.
7. A system for detecting abnormal train routes at railway stations according to claim 6, characterized in that: The travel unit comprises: rail wheels, which are divided into active rail wheels and driven rail wheels; The active rail wheel is connected to the mechanical device unit through a bearing and is connected to the driving motor through a bolt; the driven rail wheel is connected to the mechanical device unit through a bearing.
8. A system for detecting abnormal train routes at railway stations according to claim 7, characterized in that: The mechanical device unit comprises: an equipment housing, a large support arm and a support arm folding mechanism; one end of the large support arm is connected to the equipment housing through the support arm folding mechanism, and the other end of the large support arm is connected to the rail wheel through a bearing.
9. A system for detecting abnormal train routes at railway stations according to claim 8, characterized in that: The device housing is provided with a status indicator light and a sensor unit. The AI recognition control unit is located inside the device housing. The status indicator light is controlled by the AI recognition control unit to display status information of the route detector during operation.
10. A system for detecting abnormal train routes at railway stations according to claim 9, characterized in that: The sensor unit comprises: High-definition camera, Beidou positioning component and radar sensor; the high-definition camera is used to transmit orbital image information to the AI recognition control unit; the Beidou positioning component provides real-time and accurate position information for the approach detector; the radar sensor uses the reflection principle of electromagnetic waves to detect and measure the relative position information of objects.