Train-ground communication quality optimization analysis system based on heavy haul railway vehicle-mounted radio station

Abstract

The invention relates to a train-ground communication quality optimization analysis system based on a heavy haul railway vehicle-mounted radio station, and the system comprises a system initialization module which is used for reading parameters of related interfaces; the information acquisition module is used for acquiring parameters of an access network in real time through a train-ground communication radio station interface; the GNSS monitoring module is connected with the GNSS module through a serial port and is used for receiving GNSS information in real time; the geographic information acquisition module is used for acquiring related geographic map information from a third-party API (Application Program Interface) through a public network; and the edge calculation module is used for collecting the information of the information acquisition module and the GNSS monitoring module and performing calculation processing. According to the invention, GNSS information and communication information are comprehensively considered; in combination with a geographic API, the influence of the geographic environment on the communication condition is intuitively known; through a visual interface, the communication coverage condition of a trackside base station is visually displayed, communication results of multiple trains are efficiently checked, and the positions of sensitive areas such as packet loss and switching are visually checked.

Description

Technical Field

[0001] The present invention belongs to the field of rail communication technology, and in particular relates to a vehicle-to-ground communication quality optimization and analysis system based on a heavy-load railway vehicle-mounted radio station. Background Art

[0002] The train operation control system, referred to as train control, is a system that ensures the safe and fast operation of trains. In order to ensure reliable communication between the running train and the ground equipment, the heavy-duty railway vehicle-ground communication system establishes a data transmission channel through a wireless communication system. The on-board train control equipment is wirelessly connected to the base station near the track through the vehicle-ground radio station. The base station transmits the interactive train control data to the core network, and then connects to the ground train control equipment.

[0003] Due to the complex on-site environment, limited construction conditions, incorrect design data collection and other reasons, the communication quality along the train line cannot guarantee fast and reliable throughout the entire journey, so it is necessary to carry out communication quality control for these problems, which can also be called network, or network optimization for short. Usually, professionals with communication expertise or familiar with the working process of communication equipment are required to measure the signal conditions along the way through professional instruments, but the existing communication quality methods have the following problems:

[0004] 1. When collecting communication quality data, professionals and professional instruments are required, and it is difficult to collect data over a large range and for a long time;

[0005] 2. When collecting communication quality data, non-operating personnel need to be arranged to follow the vehicle for testing, which makes communication and organization between units difficult and costly;

[0006] 3. When collecting communication quality data, it may affect the operating equipment;

[0007] 4. When analyzing communication quality data, currently only manual analysis of signaling is possible, which is inefficient;

[0008] 5. When analyzing communication quality data, only specific parameters such as field strength can be analyzed, and the value of data cannot be effectively mined;

[0009] 6. When displaying communication quality data results, you can only refer to signaling or log, and the results are not intuitive enough.

[0010] Although a lot of communication quality data can be collected, it is difficult to use it effectively. Data can also be measured through the existing interface of the on-board communication equipment, but this may affect the operation of the train.

[0011] Moreover, there are no corresponding preparations on existing vehicles for vehicle-to-ground communication analysis engineers. Therefore, if communication quality engineers want to obtain actual on-site data, they need to communicate and coordinate with the local railway management department on details such as authority, safety, and test time periods, which is difficult to organize and costly.

[0012] Currently, many vehicle-to-ground communication analysis systems are equipped with communication monitoring systems, but the focus of the monitoring systems is to record and resolve existing communication failures. Summary of the invention

[0013] The purpose of the present disclosure is to provide a vehicle-to-ground communication quality optimization and analysis system based on a heavy-load railway onboard radio in order to solve the above-mentioned problem.

[0014] The present invention achieves the above-mentioned purpose through the following technical solutions:

[0015] A vehicle-ground communication quality optimization and analysis system based on a heavy-haul railway onboard radio includes a system initialization module for reading parameters of related interfaces;

[0016] The information acquisition module is used to obtain the parameters of the access network in real time through the vehicle-ground communication radio interface;

[0017] GNSS monitoring module, connected to the GNSS module through the serial port, used to receive GNSS information in real time;

[0018] The geographic information acquisition module is used to obtain relevant geographic map information from a third-party API through the public network;

[0019] An edge computing module, used to collect information from the information acquisition module and the GNSS monitoring module and perform calculations;

[0020] An information storage module, used to store communication information and calculation results of the edge computing module;

[0021] The interface display module is used to provide a user interface, allowing users to view, operate, filter, and export corresponding logs through a graphical interface, and supports the generation of data curves and the viewing of vehicle-to-ground communication quality results in the form of a map;

[0022] The map management module is used to display maps of multi-dimensional data to users through a graphical interface.

[0023] As a further optimization scheme of the present disclosure, the parameters of the relevant interfaces include serial port setting information of the GNSS module, API information related to the geographic information acquisition module, communication interface information related to the information acquisition module, and basic information of the operating line related to the calculation of the edge computing module.

[0024] As a further optimization scheme of the present disclosure, the access network includes LTE public network, 5G public network, LTE-M and 5G-R; the parameters of the access network include local user identification code, RSRP, cell ID, EIRP and network registration status.

[0025] As a further optimization solution of the present disclosure, the GNSS information includes latitude and longitude, altitude and timestamp.

[0026] As a further optimization solution of the present disclosure, the geographic map information includes satellite images, route maps, and contour maps.

[0027] As a further optimization scheme of the present disclosure, the data calculated by the edge computing module includes the distance between the train and the base station, communication disconnection records, train speed, packet loss records caused by switching, and packet loss records caused by coverage edge.

[0028] As a further optimization solution of the present disclosure, the interface display module provides a user interface through a B / S architecture.

[0029] As a further optimization scheme of the present disclosure, the map of multidimensional data displayed by the map management module and the location of the data display layer are based on GNSS coordinates, and the display and hiding, color and transparency of the data display layer are based on program presets or user adjustments.

[0030] As a further optimization solution of the present disclosure, the map interface of the multi-dimensional data uses a satellite map, a route map or a contour map as the background, and uses different colors, transparencies and shapes to distinguish data.

[0031] As a further optimization scheme of the present disclosure, the data curve supports the following templates:

[0032] Template 1: Time sequence is used as the horizontal axis, RSRP is used as the vertical axis, and different cell IDs are distinguished by color;

[0033] Template 2: RSRP is used as the horizontal axis, and the number of packet losses caused by switching or the number of packet losses caused by the coverage edge is used as the vertical axis;

[0034] Template 3: RSRP is used as the horizontal axis and communication drop records are used as the vertical axis;

[0035] Template 4: The horizontal axis is the time sequence, and the vertical axis is the number of packet losses caused by switching or the number of packet losses caused by the coverage edge;

[0036] Template 5: Time is used as the horizontal axis and communication disconnection records are used as the vertical axis.

[0037] The beneficial effects of the present disclosure are:

[0038] The present disclosure comprehensively considers GNSS information and communication information; combines geographic API to intuitively understand the impact of geographical environment on communication conditions; through a visual interface, intuitively displays the communication coverage of trackside base stations; through a visual interface, efficiently views the communication results of multiple trains; through a visual interface, intuitively views the locations of sensitive areas such as packet loss and switching, so as to better specify network optimization solutions. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] Figure 1 It is a block diagram of the overall structure of the system disclosed in the present invention;

[0040] Figure 2 is a system operation flow chart in an embodiment of the present disclosure;

[0041] Figure 3 is a schematic diagram of a multidimensional data map in an embodiment of the present disclosure;

[0042] Figure 4 It is a schematic diagram of a multi-dimensional data map of multiple data in an embodiment of the present disclosure. DETAILED DESCRIPTION

[0043] The present application is further described in detail below in conjunction with the accompanying drawings. It is necessary to point out here that the following specific implementation methods are only used to further illustrate the present application and cannot be understood as limiting the scope of protection of the present application. Technical personnel in this field can make some non-essential improvements and adjustments to the present application based on the above application content.

[0044] like Figure 1 As shown, a vehicle-to-ground communication quality optimization and analysis system based on a heavy-haul railway onboard radio comprises:

[0045] System initialization module: responsible for starting up the software and reading parameters of related interfaces (see the flowchart for details).

[0046] Information acquisition module: obtains network access parameters in real time through the interface of the vehicle-to-ground communication radio. Supported networks include LTE public network, 5G public network, LTE-M, 5G-R, etc. The information obtained includes the local user identification code (such as IMSI in LTE network), RSRP, cell ID, EIRP, network registration status, etc.).

[0047] GNSS monitoring module: connect to the GNSS module through the serial port, receive GNSS information in real time, support common GNSS systems such as BD and GPS. The real-time information obtained includes latitude and longitude, altitude, and timestamp.

[0048] Geographic information acquisition module: obtain relevant geographic map information from third-party APIs through the public network, including satellite images, route maps, contour maps, etc. Real-time data viewing is possible, and offline storage is also supported.

[0049] Edge computing module: collects information from the information acquisition module and the GNSS monitoring module, pre-processes and classifies the information locally on the train-ground radio station, and organizes the specified information into a corresponding format. The calculated data includes the distance between the train and the base station, communication disconnection records, train speed, packet loss records caused by switching, and packet loss records caused by coverage edge.

[0050] Information storage module: stores acquired communication information and the calculation results of the edge computing module. It can be called by the subsequent map management module and interface display module.

[0051] Interface display module: The software provides a user interface through the B / S architecture. Users can view, operate, filter, and export corresponding logs through the graphical interface. It also supports the generation of measurement curves for specific data and the viewing of vehicle-ground communication quality results in the form of a map.

[0052] Map management module: Displays multi-dimensional data maps to users through a graphical interface. The location of the map and data display layers is based on GNSS coordinates, and the display and hiding, color, transparency, etc. of the data display layers are based on program presets or user adjustments.

[0053] like Figure 2 As shown, the working process of a vehicle-to-ground communication quality optimization and analysis system is as follows:

[0054] 1. The software starts automatically after the vehicle-ground radio is powered on. First, the system initialization module is started and the relevant preset parameters for initialization are read, including the serial port settings of the GNSS module, the API information related to the geographic information acquisition module, the communication interface information related to the information acquisition module, and the basic information of the running line for the edge computing module.

[0055] a) If the initialization module detects a problem, it will record the abnormal log;

[0056] b) If the initialization module is started successfully, other modules are started according to the configuration parameters.

[0057] 2. Start the geographic information acquisition module, connect to the third-party map API through the public network, and obtain satellite images, route maps, contour maps, etc.

[0058] a) If the geographic information acquisition module fails to start, an exception log is recorded;

[0059] b) After the geographic information acquisition module is successfully started, it will continue to acquire geographic information from third-party APIs. When receiving a request for updated map information from a user to view maps of other areas, it will continue to acquire the corresponding map information.

[0060] 3. Start the information acquisition module and obtain communication information through the vehicle-ground radio interface, including communication standard, user ID, cell ID, RSRP, EIRP, network status, etc.

[0061] a) When the information acquisition module fails to start, the abnormal log is recorded;

[0062] b) When the information acquisition module is successfully started, in addition to participating in the tasks of the edge computing module, it will also continue to transmit communication information to the information storage module.

[0063] 4. Start the GNSS monitoring module and continuously obtain GNSS information through the serial port, including latitude and longitude, altitude, and timestamp.

[0064] 5. When the information acquisition module and GNSS monitoring module are successfully started, the edge computing module will continue to be started and collect the corresponding GNSS information and communication information to calculate the following data:

[0065] a) Distance between train and base station: The distance between train and base station is calculated based on the pre-entered base station coordinates and the real-time acquired GNSS information of the vehicle. The information types include the vehicle ID, vehicle coordinates, base station format, base station manufacturer, cell ID, base station coordinates, timestamp, RSRP, and EIRP.

[0066] b) Communication disconnection records: According to parameters such as network status, the disconnection records during train operation are counted. Other information should include the local ID, local coordinates, base station format, base station manufacturer, cell ID, base station coordinates, timestamp, RSRP, EIRP, and train speed.

[0067] c) Train speed: Based on the multiple GNSS information obtained, the real-time train speed is calculated every second.

[0068] d) Count the packet loss records caused by switching: According to the communication information, confirm the number of packet losses and timestamp. And determine the cause of packet loss based on the cell ID, RSRP, and EIRP before and after the timestamp. If the cell ID changes before and after, it is considered to be a packet loss record caused by switching. Other recorded information should include local ID, previous local coordinates, next local coordinates, base station format, base station manufacturer, previous cell ID, next cell ID, previous base station distance, next base station distance, previous base station coordinates, next base station coordinates, timestamp, previous RSRP, next RSRP, EIRP, and train speed.

[0069] e) Count the packet loss records at the edge of coverage: Based on the communication information, determine the packet loss records caused by low RSRP. The information includes the local ID, local coordinates, base station standard, base station manufacturer, cell ID, base station coordinates, distance from the base station, timestamp, RSRP, EIRP, and train speed.

[0070] 6. The information storage module stores the calculation results of the edge computing module and the communication information of the information acquisition module in the form of 5 types of edge computing results and communication information.

[0071] 7. After the system initialization module is successfully started, the interface display module and map management module will begin to be initialized.

[0072] a) When the interface display module or map management module fails to start, an abnormal log is recorded;

[0073] 8. After the interface display module and map management module are successfully started, they will stay on the user operation interface and wait for the user to input instructions. After the user accesses through the browser, he can issue instructions through the interface, including viewing multi-dimensional data maps, viewing logs, and viewing data curves.

[0074] 9. When viewing the log page, the information in the information storage module will be displayed in a table. It supports timestamp range, information type (including communication information and communication disconnection records generated by the edge computing module, packet loss records caused by switching, and packet loss records caused by coverage edge), cell ID, device ID, base station manufacturer, etc. It supports chronological or reverse sorting. And generate data curves or multi-dimensional data maps based on this range.

[0075] 10. In the multi-dimensional data map interface, the software uses satellite images, route maps or contour maps as the background, and uses different colors, transparency, shapes, etc. to distinguish data. Users can manually select the area to be displayed, and then the geographic information acquisition module will be called to obtain geographic information from the third-party API in real time. The conversion relationship between different parameter relationships and colors will be pre-set in the program. For details of the generated data map, see Figure 3 and its description.

[0076] 11. After generating the multidimensional data map, the user can repeatedly reselect and filter the log data to generate a new multidimensional data map.

[0077] 12. After selecting the corresponding data range, you can choose to generate a data curve. The data curve supports several specific templates.

[0078] a) The horizontal axis is time sequence, the vertical axis is RSRP, and different cell IDs are distinguished by color;

[0079] b) RSRP is used as the horizontal axis, and the number of packet losses caused by switching or the number of packet losses caused by the coverage edge is used as the vertical axis;

[0080] c) RSRP is used as the horizontal axis and communication disconnection records are used as the vertical axis;

[0081] d) The time sequence is used as the horizontal axis, and the number of packet losses caused by switching or the number of packet losses caused by the coverage edge is used as the vertical axis;

[0082] e) Time is used as the horizontal axis and communication disconnection records are used as the vertical axis.

[0083] like Figure 3 As shown, the multi-dimensional data map and related instructions of the present disclosure are as follows:

[0084] 1. Different depths of green are used to indicate different train speeds. The darker the color, the faster the speed. Figure 3 It can be seen that the train is slower at the top of the graph (light green) and faster at the bottom of the graph (dark green).

[0085] 2. Different colors are used to represent the coverage of different base stations. The coverage is only for the railway line, and the rest of the area is a circular area automatically generated by the software. Figure 3 It can be seen that base station A and base station B have independent coverage areas.

[0086] 3. The RSRP value is represented by different colors of transparency, where the boundary of communication dropout is the lowest RSRP point. Figure 3 It can be seen that the coverage of the base station center is good, and the RSRP gradually decreases away from the center. Figure 3 It can be seen that the coverage edges of base stations A and B gradually become transparent.

[0087] 4. Where the coverage of two base stations overlap, the range of the circles made by the base stations will also overlap. The overlapping area indicates the area that can be covered by both base stations. Figure 3 It can be seen that there is a clear overlap in the coverage areas of the two base stations.

[0088] 5. Packet loss will be marked as a dot at the corresponding position of the track. Figure 3 It can be seen that there are 4 packet losses in total. Packet losses A and D are at the edge of the base station coverage, and packet losses B and C are in the handover area between the two base stations.

[0089] 6. Areas where communication is dropped are indicated in the figure as areas without base station coverage.

[0090] like Figure 4 As shown, the multi-dimensional data map of the present disclosure can also display the results of multiple driving at the same time, as shown below:

[0091] 1. The speeds of different trains can be displayed as multiple transparent curves even though they have the same track. Figure 4 It can be seen that the train slowed down or stopped on the south side of base station B at one point.

[0092] 2. Multiple circles of the same color but lower transparency are used to represent the coverage of different base stations. Figure 4 It can be seen that the coverage of base station A and base station B has slightly different measurement results for each train, but the figure clearly shows the areas with good coverage and the marginal areas.

[0093] 3. The more trains are displayed at the same time, the more transparent the results of each time will be, so as to ensure that the different areas corresponding to different RSRP values ​​in the graph are clearly distinguished.

[0094] 4. Packet loss of different trains will be marked in the shape of dots of different colors at the corresponding positions on the track.

[0095] Figure 4 It can be seen that there are 3 colors of 5. The area where communication is dropped is represented in the figure as having no base station coverage.

[0096] The vehicle-to-ground communication quality optimization and analysis system is designed for the vehicle-to-ground communication system of heavy-haul railway onboard radio stations. It is adapted to the characteristics of heavy-haul railway vehicle-to-ground communication, such as communication standard, high reliability, small number of equipment, multiple switching scenarios, and complex operating environment.

[0097] The system can obtain communication information, GNSS information and external geographic API information;

[0098] The system can calculate train speed, distance from base stations, and packet loss statistics based on GNSS and communication information;

[0099] The system includes the necessary on-board hardware and software systems;

[0100] The communication information monitored by the system depends on different communication standards, including LTE public network, 5G public network, LTE-M, 5G-R, etc.

[0101] The system can run online in real time, or it can collect statistics of multiple sets of offline data and display them uniformly;

[0102] The system can display specific communication data through images, including but not limited to base station location, signal strength, coverage, train speed, packet loss location, cell switching location, etc.;

[0103] Based on the collected information, the system can provide statistical data on communication results at a specified time, on a specified station / train, and in a specified area.

[0104] The above-mentioned embodiments only express several implementation methods of the present disclosure, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present disclosure. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present disclosure, and these all belong to the protection scope of the present disclosure.

Claims

1. A vehicle-to-ground communication quality optimization and analysis system based on a heavy-haul railway onboard radio, characterized in that: include: System initialization module, used to read parameters of related interfaces; The information acquisition module is used to obtain the parameters of the access network in real time through the vehicle-ground communication radio interface; GNSS monitoring module, connected to the GNSS module through the serial port, used to receive GNSS information in real time; The geographic information acquisition module is used to obtain relevant geographic map information from a third-party API through the public network; An edge computing module, used to collect information from the information acquisition module and the GNSS monitoring module and perform calculations; An information storage module, used to store communication information and calculation results of the edge computing module; The interface display module is used to provide a user interface, allowing users to view, operate, filter, and export corresponding logs through a graphical interface, and supports the generation of data curves and the viewing of vehicle-to-ground communication quality results in the form of a map; The map management module is used to display maps of multi-dimensional data to users through a graphical interface.

2. According to claim 1, a vehicle-to-ground communication quality optimization and analysis system based on a heavy-haul railway onboard radio is characterized in that: The parameters of the relevant interface include serial port setting information of the GNSS module, API information related to the geographic information acquisition module, communication interface information related to the information acquisition module, and basic information of the operating line related to the calculation of the edge computing module.

3. According to claim 1, a vehicle-to-ground communication quality optimization and analysis system based on a heavy-haul railway onboard radio is characterized in that: The access network includes LTE public network, 5G public network, LTE-M and 5G-R; the parameters of the access network include local user identification code, RSRP, cell ID, EIRP and network registration status.

4. According to claim 1, a vehicle-to-ground communication quality optimization and analysis system based on a heavy-haul railway onboard radio is characterized in that: The GNSS information includes latitude, longitude, altitude and timestamp.

5. According to claim 1, a vehicle-to-ground communication quality optimization and analysis system based on a heavy-haul railway onboard radio is characterized in that: The geographic map information includes satellite images, route maps, and contour maps.

6. The vehicle-to-ground communication quality optimization and analysis system based on a heavy-haul railway onboard radio according to claim 1 is characterized in that: The data calculated by the edge computing module include the distance between the train and the base station, communication disconnection records, train speed, packet loss records caused by switching, and packet loss records caused by coverage edge.

7. The vehicle-to-ground communication quality optimization and analysis system based on a heavy-haul railway onboard radio according to claim 1 is characterized in that: The interface display module provides a user interface through a B / S architecture.

8. The vehicle-to-ground communication quality optimization and analysis system based on a heavy-haul railway onboard radio according to claim 1 is characterized in that: The map of multi-dimensional data displayed by the map management module and the location of the data display layer are based on GNSS coordinates, and the display and hiding, color and transparency of the data display layer are based on program presets or user adjustments.

9. The vehicle-to-ground communication quality optimization and analysis system based on a heavy-haul railway onboard radio according to claim 1 is characterized in that: The map interface of the multi-dimensional data uses a satellite map, a route map or a contour map as a background, and uses different colors, transparencies and shapes to distinguish data.

10. The vehicle-to-ground communication quality optimization and analysis system based on a heavy-haul railway onboard radio according to claim 1 is characterized in that: The data curve supports the following templates: Template 1: Time sequence is used as the horizontal axis, RSRP is used as the vertical axis, and different cell IDs are distinguished by color; Template 2: RSRP is used as the horizontal axis, and the number of packet losses caused by switching or the number of packet losses caused by the coverage edge is used as the vertical axis; Template 3: RSRP is used as the horizontal axis and communication drop records are used as the vertical axis; Template 4: The horizontal axis is the time sequence, and the vertical axis is the number of packet losses caused by switching or the number of packet losses caused by the coverage edge; Template 5: Time is used as the horizontal axis and communication disconnection records are used as the vertical axis.

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