Method and device for diagnosing abnormal data transmission of GSM-R network

Abstract

The invention provides a GSM-R network data transmission abnormity diagnosis method and device, and relates to the technical field of railway wireless communication dynamic detection, and the method comprises the steps: carrying out the dynamic detection of a GSM-R network, and obtaining the time corresponding to a business data transmission abnormity position in real time; acquiring state monitoring data of the abnormal time period, and analyzing the state of the equipment; collecting event information of the mobile test terminal through the dynamic detection data; analyzing the internal and external working conditions of the GSM-R network; when interference exists, uplink interference band data are obtained through a core network manager; when uplink interference occurs, interface signaling data are extracted, and signaling interaction logic is checked; when an abnormal condition is found in the signaling interaction logic check, analyzing network performance, and calculating signaling time delay; extracting service data under the condition that the signaling time delay is degraded; and carrying out uplink data transmission process analysis and downlink data transmission process analysis, and positioning a reason for abnormal data transmission.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of railway wireless communication dynamic detection, and in particular to a GSM-R network data transmission anomaly diagnosis method and device. BACKGROUND

[0002] In the field of railway wireless communication dynamic detection, especially in terms of GSM-R network data transmission anomaly diagnosis, existing technical means have played an important role. As a key communication platform for CTCS-3 level train control and dispatch command of high-speed railway, GSM-R network ensures the safety and efficiency of railway transportation. In order to maintain the stable operation of this important system, railway related enterprises regularly conduct communication detection on high-speed and conventional railways through high-speed comprehensive detection trains and electric power detection cars, covering wireless field strength coverage, service quality, electromagnetic environment and other aspects. In particular, on the CTCS-3 train control line, circuit domain transmission interference rate detection has become one of the routine detection items.

[0003] However, although the existing detection means can provide certain statistical data, there are still obvious deficiencies in actual application. First, the current circuit domain transmission interference rate detection can only provide statistical values, lacking the ability of automatic diagnosis of GSM-R network data transmission anomaly problems. This means that once data transmission anomaly occurs, the system cannot identify and locate the problem in time, resulting in C3 wireless communication timeout, making CTCS-3 degrade to CTCS-2, train speed from 350km / h to 250km / h or below, and even triggering braking stop, which seriously affects transportation efficiency. Second, although the existing GSM-R communication detection system can obtain the location of data transmission anomaly during dynamic detection, its automation degree is low and still needs to rely on manual judgment, which not only increases the workload, but also may lead to inaccurate diagnosis due to human factors. In addition, the existing detection system cannot distinguish the state of each subsystem when statistical data transmission anomaly occurs, making it difficult to accurately diagnose the specific problems of each subsystem, which is a major difficulty in realizing GSM-R network data transmission anomaly diagnosis. Therefore, how to improve the automatic diagnosis capability of GSM-R network data transmission anomaly, realize accurate positioning and efficient processing, has become a technical challenge to be solved. SUMMARY

[0004] To solve the problems existing in the prior art, the present application proposes a GSM-R network data transmission anomaly diagnosis method and device.

[0005] In the first aspect of the embodiments of the present application, a GSM-R network data transmission anomaly diagnosis method is proposed, which comprises:

[0006] The GSM-R network is dynamically detected, and in the dynamic detection process, the time corresponding to the position of abnormal data transmission of the service data is acquired in real time according to the transmission interference rate test of the circuit domain;

[0007] Based on the time corresponding to the position of abnormal data transmission of the service data, the state monitoring data of the mobile test terminal, the core network and the ground detection equipment in the abnormal time period is acquired, and the equipment state is analyzed;

[0008] In the case that the equipment state does not have abnormal data, the event information of the mobile test terminal is acquired through dynamic detection data collection;

[0009] In the case that the event information of the mobile test terminal has abnormal event information, the electromagnetic environment data of the data transmission abnormal time period is acquired, and the internal and external working conditions of the GSM-R network are analyzed;

[0010] When the internal and external working conditions of the GSM-R network have interference, the uplink interference band data is acquired through the core network management;

[0011] When it is judged that uplink interference occurs based on the uplink interference band data, the interface signaling data is extracted, and the signaling interaction logic is checked;

[0012] When abnormal conditions are found in the checking of the signaling interaction logic, the network performance is analyzed, and the signaling delay is calculated;

[0013] The signaling delay is compared and analyzed in combination with historical delay data, in the case that the signaling delay deteriorates, the service data of the mobile test terminal, various interfaces and ground detection equipment is extracted;

[0014] The uplink data transmission process analysis and the downlink data transmission process analysis are performed according to the service data of the mobile test terminal, various interfaces and ground detection equipment, and the reason for the abnormal data transmission is located.

[0015] In the second aspect of the embodiment of the application, a GSM-R network data transmission abnormality diagnosis device is provided, and the device comprises:

[0016] The dynamic detection module is used for dynamically detecting the GSM-R network, and in the dynamic detection process, the time corresponding to the position of abnormal data transmission of the service data is acquired in real time according to the transmission interference rate test of the circuit domain;

[0017] The equipment state monitoring module is used for acquiring the state monitoring data of the mobile test terminal, the core network and the ground detection equipment in the abnormal time period based on the time corresponding to the position of abnormal data transmission of the service data, and analyzing the equipment state;

[0018] The mobile test terminal abnormality analysis module is used for acquiring the event information of the mobile test terminal through dynamic detection data collection in the case that the equipment state does not have abnormal data.

[0019] The GSM-R network working condition analysis module is configured to acquire electromagnetic environment data of a data transmission abnormal time period and analyze internal and external working conditions of the GSM-R network when there is abnormal event information in the event information of the mobile test terminal.

[0020] The uplink interference band data acquisition module is configured to acquire uplink interference band data through core network management when there is interference in the internal and external working conditions of the GSM-R network.

[0021] The logic checking module is configured to extract interface signaling data and check signaling interaction logic when uplink interference occurs based on the uplink interference band data.

[0022] The network performance analysis module is configured to analyze network performance and calculate signaling time delay when abnormal conditions are found in the signaling interaction logic checking.

[0023] The service data extraction module is configured to compare and analyze signaling time delay in combination with historical time delay data, and extract service data of the mobile test terminal, various interfaces and ground detection equipment when the signaling time delay deteriorates.

[0024] The abnormal positioning module is configured to analyze uplink data transmission process and downlink data transmission process according to the service data of the mobile test terminal, various interfaces and ground detection equipment, and locate the cause of data transmission abnormality.

[0025] In a third aspect of the embodiments of the present application, a computer device is provided, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor implements the GSM-R network data transmission abnormality diagnosis method when executing the computer program.

[0026] In a fourth aspect of the embodiments of the present application, a computer readable storage medium is provided, which stores a computer program, and the computer program implements the GSM-R network data transmission abnormality diagnosis method when executed by a processor.

[0027] In a fifth aspect of the embodiments of the present application, a computer program product is provided, which includes a computer program, and the computer program implements the GSM-R network data transmission abnormality diagnosis method when executed by a processor.

[0028] The application realizes automatic diagnosis of abnormal problems of data transmission of a GSM-R network by providing a GSM-R network data transmission abnormality diagnosis method and device. The method combines multi-dimensional data such as dynamic detection of the GSM-R network, interface monitoring signaling, services, network management, network equipment state monitoring and electromagnetic environment, and can significantly improve the diagnosis efficiency of data transmission abnormality problems, and provides technical support for improving the automation and intelligence level of dynamic detection of the GSM-R network. In addition, the application adopts equipment state analysis, electromagnetic environment analysis, network performance analysis, trend analysis and other methods, which can effectively distinguish internal and external influencing factors, dynamically master the performance state change of network equipment, and assist the implementation of precise repair, state repair and preventive repair on site. Through the hierarchical and end-to-end analysis method, the application performs fine analysis on uplink and downlink Um, Abis, A and PRI interface data, significantly improves the positioning accuracy, and effectively supports maintenance decision and efficiency. Finally, the application analyzes the test principle of the GSM-R network interference rate dynamic detection project in depth, uses the timing, fixed length and transparent transmission characteristics of the application layer protocol, accurately locates the data transmission abnormality of the GSM-R network, and solves the problem of difficult discovery and positioning of data transmission abnormality in complex scene data transmission such as train control data transmission in the actual application process. BRIEF DESCRIPTION OF DRAWINGS

[0029] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed in the embodiment description will be briefly introduced. Obviously, the drawings in the following description are some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0030] Figure 1 It is a GSM-R network data transmission abnormality diagnosis method flowchart of an embodiment of the present application.

[0031] Figure 2 It is a GSM-R network data transmission abnormality diagnosis method flowchart of a specific embodiment of the present application.

[0032] Figure 3 It is an uplink transmission abnormality diagnosis flowchart based on a specific embodiment of the present application.

[0033] Figure 4 It is a downlink transmission abnormality diagnosis flowchart based on a specific embodiment of the present application.

[0034] Figure 5 It is a GSM-R network data transmission abnormality diagnosis device architecture diagram of an embodiment of the present application.

[0035] Figure 6 It is a computer device structure diagram of an embodiment of the present application. Detailed Implementation

[0036] The principles and spirit of the invention will now be described with reference to several exemplary embodiments. It should be understood that these embodiments are given merely to enable those skilled in the art to better understand and implement the invention, and are not intended to limit the scope of the invention in any way. Rather, these embodiments are provided to make this disclosure more thorough and complete, and to fully convey the scope of this disclosure to those skilled in the art.

[0037] Those skilled in the art will recognize that embodiments of the present invention can be implemented as a system, apparatus, device, method, or computer program product. Therefore, this disclosure can be specifically implemented in the following forms: entirely hardware, entirely software (including firmware, resident software, microcode, etc.), or a combination of hardware and software.

[0038] According to an embodiment of the present invention, a method and apparatus for diagnosing abnormal data transmission in GSM-R networks are proposed, relating to the field of dynamic detection technology for railway wireless communication.

[0039] The principles and spirit of the present invention will be explained in detail below with reference to several representative embodiments.

[0040] Figure 1 This is a schematic flowchart of a GSM-R network data transmission anomaly diagnosis method according to an embodiment of the present invention. Figure 1 As shown, the method includes:

[0041] Step S101: Perform dynamic detection on the GSM-R network. During the dynamic detection process, obtain the time corresponding to the abnormal location of service data transmission in real time based on the circuit domain transmission interference rate test.

[0042] Step S102: Based on the time corresponding to the abnormal location of the service data transmission, obtain the status monitoring data of the mobile test terminal, core network and ground detection equipment during the abnormal time period, and analyze the equipment status;

[0043] Step S103: If there is no abnormal data in the device status, collect event information from the mobile test terminal through dynamic detection data.

[0044] Step S104: If there is abnormal event information in the event information of the mobile test terminal, obtain electromagnetic environment data during the abnormal data transmission period and analyze the internal and external working conditions of the GSM-R network.

[0045] Step S105: When there is interference in the internal and external working conditions of the GSM-R network, obtain uplink interference band data through the core network management system;

[0046] Step S106: When the uplink interference occurs based on the uplink interference data, the interface signaling data is extracted, and the signaling interaction logic is checked;

[0047] Step S107: When the signaling interaction logic is checked and abnormal conditions are found, the network performance is analyzed, and the signaling delay is calculated;

[0048] Step S108: In combination with the historical delay data, the signaling delay is compared and analyzed, and when the signaling delay deteriorates, the service data of the mobile test terminal, various interfaces and ground detection equipment is extracted;

[0049] Step S109: According to the service data of the mobile test terminal, various interfaces and ground detection equipment, the uplink data transmission process analysis and the downlink data transmission process analysis are performed, and the data transmission abnormality reason is located.

[0050] The GSM-R network data transmission abnormality diagnosis method provided by the present application realizes the automatic diagnosis of the GSM-R network data transmission abnormality problem. The overall scheme combines the GSM-R network dynamic detection, interface monitoring signaling, service, network management, network equipment state monitoring and electromagnetic environment and other multi-dimensional data, which can significantly improve the diagnosis efficiency of data transmission abnormality problem, and provides technical support for the automation and intelligent level improvement of GSM-R network dynamic detection. In addition, the present application adopts device state analysis, electromagnetic environment analysis, network performance analysis, trend analysis and other methods, which can effectively distinguish internal and external influencing factors, dynamically master the network equipment performance state change situation, and assist the realization of on-site precise repair, state repair and preventive repair. Through the hierarchical and end-to-end analysis method, the present application performs fine analysis on the uplink and downlink Um, Abis, A and PRI interface data, significantly improves the positioning accuracy, and effectively supports the maintenance decision and efficiency. Finally, the present application analyzes the test principle of the GSM-R network interference rate dynamic detection project in depth, uses the timing, fixed length and transparent transmission characteristics of the application layer protocol, accurately locates the GSM-R network data transmission abnormality, and solves the problem of difficult discovery and positioning of data transmission abnormality in complex scene data transmission such as train control data transmission in actual application process.

[0051] In order to more clearly explain the above-mentioned GSM-R network data transmission abnormality diagnosis method, the following will be described in detail in combination with each step.

[0052] In one specific embodiment, for step S101, the step of dynamically detecting the GSM-R network can include relying on a railway special detection vehicle to collect railway infrastructure state parameters along the railway including the GSM-R network during train operation. Through this step, the dynamic detection data of the GSM-R network can be obtained in real time, which provides basic data support for subsequent abnormality diagnosis.

[0053] In one specific embodiment, for step S103, the abnormal event information in the event information of the mobile test terminal at least includes: switching failure, disconnection, and switching abnormality corresponding abnormal event information. Through this step, various abnormal events occurring in the data transmission process of the mobile test terminal can be accurately identified, thereby providing a basis for further analysis.

[0054] In one specific embodiment, for step S104, the method for analyzing the internal and external working conditions of the GSM-R network comprises:

[0055] Whether there is external large signal causing GSM-R frequency band blocking interference is determined through the electromagnetic environment data and the detection data; if there is, it is determined that interference occurs;

[0056] If not, whether there is same frequency interference, adjacent frequency interference, and multipath interference in the GSM-R frequency band is determined through the electromagnetic environment data and the detection data; if there is, it is determined that interference occurs; if not, it is determined that there is no internal and external interference of the GSM-R network. Through this step, the interference conditions inside and outside the GSM-R network can be effectively distinguished, thereby providing accurate information for subsequent interference positioning.

[0057] In one specific embodiment, for step S106, when the interface signaling data is extracted, at least the interface signaling data of the Um interface, the Abis interface, the A interface, and the PRI interface is included;

[0058] When the service data of multiple interfaces is extracted, at least the service data of the Um interface, the Abis interface, the A interface, and the PRI interface is included. Through this step, the signaling data and service data of each interface can be comprehensively obtained, thereby providing detailed data support for subsequent signaling interaction logic checking and service data transmission process analysis.

[0059] In one specific embodiment, for step S109, the specific steps of the uplink data transmission process analysis comprise:

[0060] When the uplink data transmission process is analyzed, the service data of the Um interface, the Abis interface, the A interface, the PRI interface, and the ground detection device are sequentially compared with the service data stored by the mobile test terminal, so as to locate the position of the uplink service data transmission error; and according to the position of the uplink service data transmission error, the cause of the data transmission abnormality is located. Through this step, the specific position of the data transmission error in the uplink can be accurately located, thereby quickly determining the cause of the data transmission abnormality.

[0061] In one specific embodiment, for step S109, the specific steps of the downlink data transmission process analysis comprise:

[0062] In the analysis of the downlink data transmission process, the PRI interface, A interface, Abis interface, Um interface, mobile test terminal service data, and the service data of the ground detection equipment are compared in sequence to locate the position of the downlink service data transmission error; and the position of the downlink service data transmission error is located according to the position of the downlink service data transmission error. Through this step, the specific position of the data transmission error in the downlink can be accurately located, so that the cause of the data transmission anomaly can be quickly determined.

[0063] Reference Figure 2 , the flowchart of the GSM-R network data transmission anomaly diagnosis method of a specific embodiment of the present application. As shown in Figure 2 , it comprises:

[0064] S201, extracting the kilometer marker, cell and time according to the abnormal data.

[0065] Specifically, according to the acquired transmission abnormal data, the key positioning information is extracted, including the kilometer marker, the cell where the abnormality occurs and the specific time.

[0066] S202, is the device state monitoring data normal?

[0067] If yes, extract the abnormal event; if there is an abnormality, return to the initial step (directly trace the cause).

[0068] Specifically, access the state monitoring data of the mobile test terminal, the core network and the ground detection equipment, and check whether the device data is normal; if not, proceed to the abnormal cause tracing, and if normal, proceed to the next step.

[0069] S203, extracting the abnormal event.

[0070] S204, is there an abnormal event?

[0071] If yes, extract the electromagnetic environment data; if no, return to the initial step.

[0072] Specifically, extract the abnormal event (such as handover failure, disconnection, handover anomaly, etc.) in the dynamic detection data, and check whether such an abnormal event occurs; if it occurs, proceed to the next step.

[0073] S205, extracting electromagnetic environment data.

[0074] S206, is there interference?

[0075] If yes, extract the uplink interference data; if no, return to the initial step.

[0076] Specifically, access the electromagnetic environment data of the abnormal time period, and analyze whether there is internal or external interference; if there is, proceed to the next step.

[0077] S207, extracting uplink interference data.

[0078] S208, whether there is uplink interference?

[0079] If yes, analyzing signaling logic and performance; if no, returning to the initial step.

[0080] S209, analyzing signaling logic and performance.

[0081] Analyzing signaling logic and performance, checking whether there is repetition, loss and other abnormalities in signaling interaction, and calculating signaling interaction delay, event delay, and comparing historical data to determine whether the delay is normal; if the delay is not normal, returning to the initial step, if the delay is normal, entering the next step.

[0082] S210, whether the delay is normal?

[0083] If yes, extracting service data; if no, returning to the initial step.

[0084] S211, extracting service data.

[0085] S212, checking uplink and downlink data.

[0086] S213, automatically determining the result.

[0087] Extracting service data of mobile test terminal, each interface (Um, Abis, A, PRI) and ground detection equipment, checking uplink and downlink data, and automatically generating abnormal diagnosis result.

[0088] Reference Figure 3 and Figure 4 are respectively based on uplink transmission abnormal diagnosis flowchart and downlink transmission abnormal diagnosis flowchart of a specific embodiment of the application.

[0089] Reference Figure 3 The uplink transmission abnormal diagnosis flow includes:

[0090] S301, extracting uplink service data.

[0091] Specifically, extracting service data in the uplink direction (using 40-byte data frame, including start flag, random payload, serial number, CRC check bit).

[0092] S302, whether the data of Um interface and mobile terminal are consistent?

[0093] If yes, continuing to execute the next step; if no, determining that the mobile terminal is faulty.

[0094] Specifically, check whether the service data of the Um interface and the mobile terminal is consistent (based on the sequence number and CRC check of each bit of data); if not consistent, determine that the mobile terminal is faulty, and the process ends; if consistent, proceed to the next step.

[0095] S303, whether the data of the Abis interface and the Um interface is consistent?

[0096] If yes, continue to execute the next step; if no, determine that the BTS is faulty.

[0097] Specifically, check whether the service data of the Abis interface and the Um interface is consistent; if not consistent, determine that the BTS (base transceiver station) is faulty, and the process ends; if consistent, proceed to the next step.

[0098] S304, whether the service data of the A interface and the Abis interface is consistent?

[0099] If yes, continue to execute the next step; if no, determine that the BSS is faulty.

[0100] Specifically, check whether the service data of the A interface and the Abis interface is consistent; if not consistent, determine that the BSS (base station subsystem) is faulty, and the process ends; if consistent, proceed to the next step.

[0101] S305, whether the service data of the PRI interface and the A interface is consistent?

[0102] If yes, continue to execute the next step; if no, determine that the core network is faulty.

[0103] Specifically, check whether the service data of the PRI interface and the A interface is consistent; if not consistent, determine that the core network is faulty, and the process ends; if consistent, proceed to the next step.

[0104] S306, whether the service data of the ground terminal and the PRI interface is consistent?

[0105] If yes, end; if no, determine that the ground terminal is faulty.

[0106] Specifically, check whether the service data of the ground terminal and the PRI interface is consistent; if not consistent, determine that the ground terminal is faulty, and the process ends; if consistent, determine that the uplink transmission is normal, and the process ends.

[0107] In an actual application scenario, the service data adopts a 40-byte data frame, wherein 7E is a data frame start flag byte, 1-35 bytes are random payloads, 36-37 bytes are sequence numbers, and finally CRC-16 is a cyclic redundancy check bit for checking data at a receiving end.

[0108] Based on the serial number and CRC check in the service data, each bit in the transmission process is compared to determine whether the data of the Um interface and the mobile terminal is consistent. If not, it is determined that the mobile terminal is faulty, and if it is consistent, it is determined that the mobile terminal is normal to proceed to the next step.

[0109] Then, determine whether the data of the Abis interface and the Um interface is consistent. If not, it is determined that the BTS is faulty, and if it is consistent, it is determined that the BTS is normal to proceed to the next step.

[0110] Next, determine whether the data of the A interface and the Abis interface is consistent. If not, it is determined that the BSS is faulty, and if it is consistent, it is determined that the BSS is normal to proceed to the next step.

[0111] Then, determine whether the data of the PRI interface and the A interface is consistent. If not, it is determined that the core network is faulty, and if it is consistent, it is determined that the core network is normal to proceed to the next step.

[0112] Finally, determine whether the data of the ground terminal and the PRI interface is consistent. If not, it is determined that the ground terminal is faulty, and if it is consistent, it is determined that the uplink transmission is normal.

[0113] Reference Figure 4 , based on the uplink transmission abnormal diagnosis process includes:

[0114] S401, extract downlink service data.

[0115] Specifically, extract the downlink service data (also 40 bytes of data frames, including start flag, random payload, serial number, CRC check bit).

[0116] S402, is the service data of the PRI interface and the ground terminal consistent?

[0117] If yes, continue to the next step; if no, determine that the ground terminal is faulty.

[0118] Specifically, check whether the service data of the PRI interface and the ground terminal is consistent (based on the comparison of each bit data based on the serial number and CRC check); if not consistent, determine that the "ground terminal is faulty", the process is ended; if consistent, proceed to the next step.

[0119] S403, is the service data of the A interface and the PRI interface consistent?

[0120] If yes, continue to the next step; if no, determine that the core network is faulty.

[0121] Specifically, check whether the service data of the A interface and the PRI interface is consistent; if not consistent, determine that the "core network is faulty", the process is ended; if consistent, proceed to the next step.

[0122] S404, whether the service data of Abis interface and A interface is consistent?

[0123] If yes, continue to execute next step; if no, determine BSC failure.

[0124] Specifically, check whether the service data of Abis interface and A interface is consistent; if not, determine “BSC (base station controller) failure”, and the process ends; if yes, enter next step.

[0125] S405, whether the service data of Um interface and Abis interface is consistent?

[0126] If yes, continue to execute next step; if no, determine BTS failure.

[0127] Specifically, check whether the service data of Um interface and Abis interface is consistent; if not, determine “BTS (base transceiver station) failure”, and the process ends; if yes, enter next step.

[0128] S406, whether the service data of mobile terminal and Um interface is consistent?

[0129] If yes, continue to execute next step; if no, determine mobile terminal failure.

[0130] Specifically, check whether the service data of mobile terminal and Um interface is consistent; if not, determine “mobile terminal failure”, and the process ends; if yes, determine “downlink transmission is normal”, and the process ends.

[0131] In actual application scenarios, the service data adopts a 40-byte data frame, wherein 7E is a data frame start flag byte, 1-35 bytes are random payload, 36-37 bytes are serial number, and finally is CRC-16 for cyclic redundancy check bit for checking data at the receiving end.

[0132] Based on the serial number and CRC check in the service data, compare each bit using a visual tool to determine whether the data of PRI interface and ground terminal is consistent; if not, determine ground terminal failure; if yes, determine ground terminal normal to proceed to next step.

[0133] Then, determine whether the data of A interface and PRI interface is consistent; if not, determine core network failure; if yes, determine core network normal to proceed to next step.

[0134] Next, determine whether the data of Abis interface and A interface is consistent; if not, determine BSC failure; if yes, determine BSC normal to proceed to next step.

[0135] Then, it is judged whether the data of the Um interface and the Abis interface are consistent. If not, it is judged that the BTS is faulty, and if yes, it is judged that the BTS is normal, and the next step is performed.

[0136] Finally, it is judged whether the data of the mobile terminal and the Um interface are consistent. If not, it is judged that the mobile terminal is faulty, and if yes, it is judged that the uplink transmission is normal.

[0137] It is to be understood that even though operations of the method of the present application are described in a particular order in the above embodiments and drawings, this is not required or implied in any way as to order or as to the necessity of all illustrated operations to achieve the desired result. Additionally or alternatively, certain steps can be omitted, combined into a single step, and / or separated into multiple steps.

[0138] Having described the method of the exemplary embodiments of the present application, next, reference will be made to the drawings to describe the exemplary embodiments of the present application. Figure 5 The GSM-R network data transmission abnormality diagnosis device of the exemplary embodiments of the present application will be described.

[0139] The implementation of the GSM-R network data transmission abnormality diagnosis device can refer to the implementation of the above method, and the repeated parts will not be described again. The term "module" or "unit" used below can be a combination of software and / or hardware that achieves a predetermined function. Although the device described in the following embodiments is preferably implemented in software, hardware, or a combination of software and hardware is also possible and contemplated.

[0140] Based on the same inventive concept, the present application also proposes a GSM-R network data transmission abnormality diagnosis device, as shown in the figure, which comprises: Figure 5

[0141] The dynamic detection module 510 is configured to perform dynamic detection on the GSM-R network, and in the dynamic detection process, the time corresponding to the abnormal position of the service data transmission is acquired in real time according to the circuit domain transmission interference rate test;

[0142] The device state monitoring module 520 is configured to acquire the mobile test terminal, core network and ground detection device state monitoring data of the abnormal time period based on the time corresponding to the abnormal position of the service data transmission, and analyze the device state;

[0143] The mobile test terminal abnormality analysis module 530 is configured to acquire the event information of the mobile test terminal through dynamic detection data collection in the case that there is no abnormal data in the device state;

[0144] ​The GSM-R network working condition analysis module 540 is configured to acquire electromagnetic environment data of a data transmission abnormal time period when there is abnormal event information in the event information of the mobile test terminal, and analyze internal and external working conditions of the GSM-R network.

[0145] The uplink interference band data acquisition module 550 is configured to acquire uplink interference band data through core network management when there is interference in the internal and external working conditions of the GSM-R network.

[0146] The logic checking module 560 is configured to extract interface signaling data and check signaling interaction logic when it is judged that uplink interference occurs based on the uplink interference band data.

[0147] The network performance analysis module 570 is configured to analyze network performance and calculate signaling delay when an abnormal condition is found in the signaling interaction logic checking.

[0148] The service data extraction module 580 is configured to compare and analyze signaling delay in combination with historical delay data, and extract service data of the mobile test terminal, various interfaces and ground detection equipment when signaling delay deteriorates.

[0149] The abnormal positioning module 590 is configured to analyze uplink data transmission process and downlink data transmission process according to the service data of the mobile test terminal, various interfaces and ground detection equipment, and locate the cause of data transmission abnormality.

[0150] In a specific implementation, the dynamic detection module is configured to perform dynamic detection on the GSM-R network, and in the dynamic detection process, the time corresponding to the service data transmission abnormal position is acquired in real time according to the circuit domain transmission interference rate test. For example, the dynamic detection module can collect railway infrastructure state parameters along the railway line including the GSM-R network through a railway special detection vehicle during train operation, to realize evaluation of infrastructure service state. Through the setting of this module, the data transmission abnormal position of the GSM-R network can be acquired in real time, to provide accurate time and position information for subsequent diagnosis.

[0151] In a specific implementation, the device state monitoring module is configured to acquire abnormal time period mobile test terminal, core network and ground detection equipment state monitoring data based on the time corresponding to the service data transmission abnormal position, and analyze device state. For example, the device state monitoring module can acquire state data of these devices in the abnormal time period through a communication interface with the mobile test terminal, core network and ground detection equipment, and further analyze whether there is a device state abnormal condition. Through the setting of this module, device state abnormality can be found in time, to provide basic data support for subsequent detailed diagnosis.

[0152] In one specific implementation, the mobile test terminal exception analysis module is configured to dynamically detect event information of the data collection mobile test terminal when there is abnormal data in the device state. For example, the mobile test terminal exception analysis module can collect event information such as handover failure, disconnection, and handover exception of the mobile test terminal in an abnormal time period. By setting this module, the abnormal conditions of the mobile test terminal can be analyzed in more detail, and the accuracy of the diagnosis can be improved.

[0153] In one specific implementation, the GSM-R network working condition analysis module is configured to obtain electromagnetic environment data of a data transmission abnormal time period and analyze the internal and external working conditions of the GSM-R network when there is abnormal event information in the event information of the mobile test terminal. For example, the GSM-R network working condition analysis module can determine whether there is external large signal causing GSM-R frequency band blocking interference through electromagnetic environment data and detection data; if there is, it is determined that interference occurs; if not, it continues to determine whether there is same-frequency interference, adjacent frequency interference, and multipath interference in the GSM-R frequency band through electromagnetic environment data and detection data; if there is, it is determined that interference occurs; if not, it is determined that there is no internal and external interference of the GSM-R network. By setting this module, the internal and external interference can be effectively distinguished, and the accuracy of the interference diagnosis can be improved.

[0154] In one specific implementation, the uplink interference band data acquisition module is configured to obtain uplink interference band data through the core network management when there is interference in the internal and external working conditions of the GSM-R network. For example, the uplink interference band data acquisition module can obtain uplink interference band data through the core network management interface, and further analyze whether there is uplink interference. By setting this module, the interference conditions of the uplink can be more accurately located, and data support can be provided for subsequent signaling verification.

[0155] In one specific implementation, the logic verification module is configured to extract interface signaling data and verify signaling interaction logic when it is determined that uplink interference occurs based on the uplink interference band data. For example, the logic verification module can extract interface signaling data from the Um interface, Abis interface, A interface, and PRI interface, verify the signaling interaction logic, and confirm whether abnormal conditions such as repeated signaling and signaling loss occur. By setting this module, the abnormal conditions in the signaling interaction can be effectively found, and the accuracy of the diagnosis can be improved.

[0156] In one specific implementation, the network performance analysis module is configured to analyze network performance and calculate signaling delay when the signaling interaction logic checking module finds abnormal conditions. For example, the network performance analysis module can calculate signaling interaction delay and event delay, and perform comparative analysis in combination with historical data to confirm whether delay degradation occurs. By setting this module, network performance can be comprehensively evaluated to provide a basis for subsequent service data extraction.

[0157] In one specific implementation, the service data extraction module is configured to perform comparative analysis on signaling delay in combination with historical delay data, and extract service data of the mobile test terminal, multiple interfaces and ground detection equipment when signaling delay degradation occurs. For example, the service data extraction module can extract service data from the mobile test terminal, Um interface, Abis interface, A interface, PRI interface and ground detection equipment. By setting this module, detailed service data can be obtained to provide data support for subsequent data transmission process analysis.

[0158] In one specific implementation, the abnormal positioning module is configured to perform uplink data transmission process analysis and downlink data transmission process analysis according to service data of the mobile test terminal, multiple interfaces and ground detection equipment, and locate data transmission abnormality causes. For example, when performing uplink data transmission process analysis, the abnormal positioning module can sequentially compare service data of the Um interface, Abis interface, A interface, PRI interface and ground detection equipment with service data stored by the mobile test terminal to locate the position of uplink service data transmission error; when performing downlink data transmission process analysis, the abnormal positioning module can sequentially compare service data of the PRI interface, A interface, Abis interface, Um interface and mobile test terminal with service data of the ground detection equipment to locate the position of downlink service data transmission error. By setting this module, data transmission abnormality causes can be accurately located to improve the accuracy and efficiency of diagnosis.

[0159] Specifically, the dynamic detection module performs dynamic detection on the GSM-R network, including: relying on a railway special detection vehicle to collect railway infrastructure state parameters along the railway including the GSM-R network during train operation. For example, the dynamic detection module can collect parameters such as signal strength and service quality of the GSM-R network in real time through various sensors and data acquisition equipment installed on the detection vehicle. By setting this module, state information of the GSM-R network can be more comprehensively obtained to improve the accuracy and reliability of dynamic detection.

[0160] In the event information of the mobile test terminal, the abnormal event information at least includes:

[0161] Abnormal event information corresponding to handover failure, chain disconnection and handover abnormality.

[0162] For example, the mobile test terminal exception analysis module can record the switching failure, disconnection, switching exception and other events of the mobile test terminal in the abnormal time period, and analyze them as abnormal event information. By setting this module, the abnormal conditions of the mobile test terminal can be more comprehensively captured, and the accuracy of diagnosis can be improved.

[0163] The judgment method of the GSM-R network working condition analysis module includes:

[0164] Whether there is external large signal causing GSM-R frequency band blocking interference is determined through electromagnetic environment data and detection data; if there is, it is determined that interference occurs; if not, whether there is same frequency interference, adjacent frequency interference and multipath interference in the GSM-R frequency band is determined through electromagnetic environment data and detection data; if there is, it is determined that interference occurs; if not, it is determined that there is no internal and external interference in the GSM-R network. For example, the GSM-R network working condition analysis module can analyze electromagnetic environment data and detection data to exclude the possibility of interference step by step, and finally determine the existence or nonexistence of interference. By setting this module, the working condition of the GSM-R network can be more accurately judged, and the accuracy of interference diagnosis can be improved.

[0165] The logical verification module includes at least the following when extracting interface signaling data:

[0166] Um interface, Abis interface, A interface, PRI interface interface signaling data;

[0167] The service data extraction module includes at least the following when extracting service data of multiple interfaces:

[0168] Um interface, Abis interface, A interface, PRI interface service data.

[0169] Through the above modules, interface data can be more comprehensively obtained, providing data support for subsequent signaling verification and service data comparison.

[0170] The uplink data transmission process analysis module is configured to analyze uplink data transmission process based on the service data of the mobile test terminal, the multiple interfaces and the ground detection equipment, and includes: when analyzing the uplink data transmission process, sequentially comparing the service data of the Um interface, the Abis interface, the A interface, the PRI interface and the ground detection equipment with the service data stored in the mobile test terminal to locate the position of the uplink service data transmission error; and locating the cause of the data transmission anomaly based on the position of the uplink service data transmission error. For example, the uplink data transmission process analysis module can locate the position of the uplink transmission error step by step by comparing the service data of the interfaces, thereby determining the cause of the data transmission anomaly. By providing the module, the uplink data transmission anomaly can be accurately located, and the accuracy of the diagnosis can be improved.

[0171] The downlink data transmission process analysis module is configured to analyze downlink data transmission process based on the service data of the mobile test terminal, the multiple interfaces and the ground detection equipment, and includes: when analyzing the downlink data transmission process, sequentially comparing the service data of the PRI interface, the A interface, the Abis interface, the Um interface and the mobile test terminal with the service data of the ground detection equipment to locate the position of the downlink service data transmission error; and locating the cause of the data transmission anomaly based on the position of the downlink service data transmission error. For example, the downlink data transmission process analysis module can locate the position of the downlink transmission error step by step by comparing the service data of the interfaces, thereby determining the cause of the data transmission anomaly. By providing the module, the downlink data transmission anomaly can be accurately located, and the accuracy of the diagnosis can be improved.

[0172] It should be noted that although several modules of the GSM-R network data transmission anomaly diagnosis apparatus are mentioned in the foregoing detailed description, such division is merely exemplary and not mandatory. In fact, according to the embodiments of the present application, the features and functions of two or more modules described above can be embodied in one module. Conversely, the features and functions of one module described above can be further divided into multiple modules.

[0173] Based on the foregoing inventive concept, as shown in Figure 6 The present application further provides a computer device 600, which comprises a memory 610, a processor 620 and a computer program 630 stored in the memory 610 and executable on the processor 620, wherein the processor 620 implements the foregoing GSM-R network data transmission anomaly diagnosis method when executing the computer program 630.

[0174] Based on the foregoing inventive concept, the present application provides a computer readable storage medium, which stores a computer program, and the computer program is executed by a processor to implement the foregoing GSM-R network data transmission abnormality diagnosis method.

[0175] Based on the foregoing inventive concept, the present application provides a computer program product, which comprises a computer program, and the computer program is executed by a processor to implement the GSM-R network data transmission abnormality diagnosis method.

[0176] The present application provides a GSM-R network data transmission abnormality diagnosis method and device, which realizes automatic diagnosis of GSM-R network data transmission abnormality problems. The method combines GSM-R network dynamic detection, interface monitoring signaling, business, network management, network equipment state monitoring and electromagnetic environment and other multi-dimensional data, which can significantly improve the diagnosis efficiency of data transmission abnormality problems, and provides technical support for the automation and intelligent level improvement of GSM-R network dynamic detection. In addition, the present application uses device state analysis, electromagnetic environment analysis, network performance analysis, trend analysis and other methods, which can effectively distinguish internal and external influencing factors, dynamically master the network equipment performance state change situation, and assist the implementation of on-site precise repair, state repair and preventive repair. Through hierarchical and end-to-end analysis method, the present application performs fine analysis on uplink and downlink Um, Abis, A and PRI interface data, which significantly improves the positioning accuracy and effectively supports maintenance decision and efficiency. Finally, the present application analyzes the test principle of GSM-R network interference rate dynamic detection project in depth, uses the timing, fixed length and transparent transmission characteristics of the application layer protocol, accurately locates the GSM-R network data transmission abnormality, and solves the problem of difficult discovery and positioning of data transmission abnormality in complex scene such as train control data transmission in actual application process.

[0177] The acquisition, storage, use and processing of data in the technical solution of the present application comply with the relevant provisions of laws and regulations.

[0178] Those skilled in the art should understand that the embodiments of the present application can be provided as a method, device or computer program product. Therefore, the present application can adopt a complete hardware embodiment, a complete software embodiment or an embodiment combining software and hardware aspects. Moreover, the present application can adopt the form of a computer program product implemented on one or more computer usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer usable program code.

[0179] The computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart block or blocks. Figure 1 one or more computer-readable media. Figure 1 one or more computer-readable media.

[0180] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instructions which implement the function specified in the flowchart block or blocks. Figure 1 one or more computer-readable media. Figure 1 one or more computer-readable media.

[0181] The computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart block or blocks. Figure 1 one or more computer-readable media. Figure 1 one or more computer-readable media.

[0182] Finally, it should be noted that the above-described embodiments are merely used to illustrate the technical solutions of the present application, rather than limit the technical solutions of the present application. The protection scope of the present application is not limited to the above-described embodiments, and the technical solutions of the present application can be implemented by those skilled in the art without departing from the technical scope of the present application.

Claims

1. A GSM-R network data transmission anomaly diagnosis method, characterized in that, The method comprises: Performing dynamic detection on the GSM-R network, and in the dynamic detection process, acquiring time corresponding to a service data transmission abnormal position in real time according to a circuit domain transmission interference rate test; Based on the time corresponding to the service data transmission abnormal position, acquiring mobile test terminal, core network and ground detection equipment state monitoring data in an abnormal time period, and analyzing the equipment state; In the case where there is no abnormal data in the equipment state, collecting event information of the mobile test terminal through dynamic detection data; In the case where there is abnormal event information in the event information of the mobile test terminal, acquiring electromagnetic environment data in the data transmission abnormal time period, and analyzing internal and external working conditions of the GSM-R network; In the case where there is interference in the internal and external working conditions of the GSM-R network, acquiring uplink interference band data through core network management; When it is judged that uplink interference occurs based on the uplink interference band data, extracting interface signaling data, and checking signaling interaction logic; In the case where abnormal conditions are found in the signaling interaction logic checking, analyzing network performance, and calculating signaling delay; Comparatively analyzing the signaling delay in combination with historical delay data, and in the case where the signaling delay deteriorates, extracting service data of the mobile test terminal, various interfaces and ground detection equipment; Performing uplink data transmission process analysis and downlink data transmission process analysis based on the service data of the mobile test terminal, various interfaces and ground detection equipment, and locating data transmission abnormal reasons.

2. The GSM-R network data transmission anomaly diagnosis method according to claim 1, characterized in that, The dynamic detection on the GSM-R network comprises: Relying on a railway special detection vehicle, collecting railway infrastructure state parameters along the railway including the GSM-R network in the process of train operation.

3. The GSM-R network data transmission anomaly diagnosis method of claim 1, characterized in that, In the event information of the mobile test terminal, the abnormal event information at least comprises: Abnormal event information corresponding to switching failure, chain disconnection and switching abnormality.

4. The GSM-R network data transmission anomaly diagnosis method of claim 1, characterized in that, In the case where there is abnormal event information in the event information of the mobile test terminal, acquiring electromagnetic environment data in the data transmission abnormal time period, and analyzing internal and external working conditions of the GSM-R network, which comprises: Judging whether there is external large signal causing GSM-R frequency band blocking interference through electromagnetic environment data and detection data; if yes, it is determined that interference occurs; If not, it is continued to be judged whether there is same frequency interference, adjacent frequency interference and multipath interference in the GSM-R frequency band through electromagnetic environment data and detection data; if yes, it is determined that interference occurs; if not, it is determined that there is no internal and external interference of the GSM-R network.

5. The GSM-R network data transmission anomaly diagnosis method of claim 1, wherein, In the process of extracting interface signaling data, at least comprises: Interface signaling data of Um interface, Abis interface, A interface and PRI interface; In the process of extracting service data of various interfaces, at least comprises: Service data of Um interface, Abis interface, A interface and PRI interface.

6. The GSM-R network data transmission anomaly diagnosis method according to claim 5, characterized in that, Performing uplink data transmission process analysis and downlink data transmission process analysis based on the service data of the mobile test terminal, various interfaces and ground detection equipment, and locating data transmission abnormal reasons, which comprises: In the uplink data transmission process analysis, the Um interface, Abis interface, A interface, PRI interface, and the service data of the ground detection device are compared with the service data stored by the mobile test terminal to locate the position of the uplink service data transmission error; According to the position of the uplink service data transmission error, the cause of the data transmission anomaly is located.

7. The GSM-R network data transmission anomaly diagnosis method of claim 5, characterized in that, According to the service data of the mobile test terminal, multiple interfaces, and the ground detection device, the uplink data transmission process analysis and the downlink data transmission process analysis are performed to locate the cause of the data transmission anomaly, comprising: In the downlink data transmission process analysis, the PRI interface, A interface, Abis interface, Um interface, and the service data of the mobile test terminal are compared with the service data of the ground detection device to locate the position of the downlink service data transmission error; According to the position of the downlink service data transmission error, the cause of the data transmission anomaly is located.

8. A GSM-R network data transmission anomaly diagnosis device, characterized in that, The device comprises: A dynamic detection module for dynamically detecting the GSM-R network, and in the dynamic detection process, the time corresponding to the abnormal position of the service data transmission is acquired in real time according to the circuit domain transmission interference rate test; A device state monitoring module for acquiring the mobile test terminal, core network, and ground detection device state monitoring data of the abnormal time period based on the time corresponding to the abnormal position of the service data transmission, and analyzing the device state; A mobile test terminal anomaly analysis module for acquiring the event information of the mobile test terminal through dynamic detection data acquisition in the case that the device state does not have abnormal data; A GSM-R network working condition analysis module for acquiring the electromagnetic environment data of the data transmission abnormal time period in the case that the event information of the mobile test terminal has abnormal event information, and analyzing the internal and external working conditions of the GSM-R network; An uplink interference band data acquisition module for acquiring the uplink interference band data through the core network management in the case that the internal and external working conditions of the GSM-R network have interference; A logic checking module for extracting the interface signaling data and checking the signaling interaction logic when it is judged that uplink interference occurs based on the uplink interference band data; A network performance analysis module for analyzing the network performance and calculating the signaling delay when the signaling interaction logic checking finds abnormal conditions; A service data extraction module for comparing and analyzing the signaling delay in combination with the historical delay data, and extracting the service data of the mobile test terminal, multiple interfaces, and ground detection device in the case that the signaling delay deteriorates; An anomaly locating module for locating the cause of the data transmission anomaly according to the service data of the mobile test terminal, multiple interfaces, and ground detection device through the uplink data transmission process analysis and the downlink data transmission process analysis.

9. A computer device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, The processor implements the method of any one of claims 1 to 7 when executing the computer program.

10. A computer-readable storage medium, characterized in that, The computer readable storage medium stores a computer program, and the computer program is executed by the processor to implement the method of any one of claims 1 to 7.

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