CN113938373A

CN113938373A - Intelligent diagnosis system for railway dispatching command service fault

Info

Publication number: CN113938373A
Application number: CN202111493920.8A
Authority: CN
Inventors: 陈航程; 孟兆国
Original assignee: Beijing Dingxingda Information Technology Co ltd
Current assignee: Beijing Dingxingda Information Technology Co ltd
Priority date: 2021-12-08
Filing date: 2021-12-08
Publication date: 2022-01-14

Abstract

The embodiment of the disclosure provides an intelligent diagnosis system for railway dispatching command service faults. The system comprises an acquisition module, an intelligent analysis module and a consultation center; the acquisition module is used for acquiring Gb, Gn and Gi service data and generating dispatching command fault task data; the intelligent analysis module is used for loading the debugging command fault task data through a preset time interval and analyzing the debugging command fault task data in a multithreading mode; and the consultation center is used for displaying the analysis result of the intelligent analysis module. In this way, automatic association of the service data and the signaling data is realized, and the fault reason can be automatically positioned.

Description

Intelligent diagnosis system for railway dispatching command service fault

Technical Field

Embodiments of the present disclosure relate generally to the field of data processing, and more particularly, to a method, apparatus, device, and computer-readable storage medium for intelligent diagnosis of a railway dispatching command service failure.

Background

The railway application technology based on GPRS is widely applied in China. The GPRS general packet radio service is applied to the GSM-R network, so that the GSM-R network has the advantages of high utilization rate of radio channels and the like, but also has the defects of time delay and poor reliability compared with a circuit switching CSD mode. Due to the lack of GPRS packet service monitoring and analyzing tools, operation and maintenance personnel cannot track and monitor the packet domain service in real time during working, and effective fault recording and analyzing means and corresponding solving measures are not available after the service is in a problem or has a fault. The existing problems are mainly reflected in the following aspects:

1. the data volume of the service fault is large, each fault is deeply analyzed, a large amount of labor and time are occupied, the deep analysis is almost impossible, and at present, a user can only selectively deeply analyze partial faults.

2. The optimization of the packet domain network is lagged, and at present, the problems are basically repaired, the states are not repaired, and the network optimization work is in a passive state.

3. The signaling analyzer cannot identify multiple users of the collected signaling, and the signaling which is being transmitted does not have the user identification capability, so that the analysis of the ordinary signaling analyzer on the railway specific scheduling command service users is limited, and the problem is not favorably found in a targeted manner.

Disclosure of Invention

According to the embodiment of the disclosure, an intelligent diagnosis system for railway dispatching command service faults is provided. The system comprises an acquisition module, an intelligent analysis module and a consultation center; wherein the content of the first and second substances,

the acquisition module is used for acquiring Gb, Gn and Gi service data and generating transfer command fault task data;

the intelligent analysis module is used for loading the debugging command fault task data through a preset time interval and analyzing the debugging command fault task data in a multithreading mode;

and the consultation center is used for displaying the analysis result of the intelligent analysis module.

Further, the mobilizing order fault task data includes:

time of failure, number of train, locomotive number, cell, type of failure, type of service, command number, and/or command post.

Furthermore, the intelligent analysis module comprises a data loader, a signaling interpreter, a communication quality inspector, a service packet tracker and an association analyzer; wherein the content of the first and second substances,

the data loader is used for loading the fault task data of the maneuver command through a preset time interval;

the signaling interpreter is used for detecting the signaling flow abnormity in the dispatching command fault task data;

the communication quality polling device is used for detecting the communication quality of data;

the service packet tracker is used for detecting the fault reason of the service data;

and the association analyzer is used for summarizing the detection results of the signaling interpreter, the communication quality inspector and the service packet tracker and sending the detection results to the consultation center.

Further, the detecting the signaling flow exception in the maneuver command fault task data includes:

constructing a data model based on a normal signaling flow in the dispatching command fault task data;

detecting signaling flow abnormity in the dispatching command fault task data based on the data model; the signaling flow comprises PDP activation, PDP deactivation, signaling attachment, signaling detachment, SGSN route updating, PDP creation, PDP updating and PDP deletion.

Further, the detecting the communication quality of the data includes:

and associating Abis port measurement report data based on the transferring command fault task data, and detecting the communication quality of the data.

Further, the detecting the failure cause of the service data includes:

and tracking the Gb service data, the Gn service data and the Gi service data respectively, and detecting the fault reasons of the service data.

Further, the air conditioner is provided with a fan,

the method for tracking the Gb, Gn and Gi service data comprises the following steps:

activity detection service tracking, train number check tracking and/or CTC error-sending end service tracking.

The intelligent diagnosis system for the railway dispatching command service fault provided by the embodiment of the application realizes automatic association of service data and signaling data and automatic positioning of the fault reason by carrying out deep theoretical research, protocol stack analysis and signaling flow analysis on Gb, Gn and Gi interfaces and combining the practical application condition of railway transportation.

It should be understood that the statements herein reciting aspects are not intended to limit the critical or essential features of the embodiments of the present disclosure, nor are they intended to limit the scope of the present disclosure. Other features of the present disclosure will become apparent from the following description.

Drawings

The above and other features, advantages and aspects of various embodiments of the present disclosure will become more apparent by referring to the following detailed description when taken in conjunction with the accompanying drawings. In the drawings, like or similar reference characters designate like or similar elements, and wherein:

FIG. 1 illustrates a block diagram of a railway dispatch command service failure intelligent diagnostic system in accordance with an embodiment of the present disclosure;

FIG. 2 illustrates a data loading flow diagram according to an embodiment of the present disclosure;

FIG. 3 illustrates an intelligent analysis flow diagram according to an embodiment of the present disclosure;

4a-d illustrate a fault diagnosis flow diagram according to an embodiment of the present disclosure;

5a-c illustrate a fault diagnosis flow diagram according to yet another embodiment of the present disclosure;

Detailed Description

To make the objects, technical solutions and advantages of the embodiments of the present disclosure more clear, the technical solutions of the embodiments of the present disclosure will be described clearly and completely with reference to the drawings in the embodiments of the present disclosure, and it is obvious that the described embodiments are some, but not all embodiments of the present disclosure. All other embodiments, which can be derived by a person skilled in the art from the embodiments disclosed herein without making any creative effort, shall fall within the protection scope of the present disclosure.

In addition, the term "and/or" herein is only one kind of association relationship describing an associated object, and means that there may be three kinds of relationships, for example, a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship.

Fig. 1 shows a block diagram 100 of a train dispatching command service failure intelligent diagnosis system according to an embodiment of the disclosure. The system 100 includes an acquisition module 110, an intelligent analysis module 120, and a consultation center 130; wherein the content of the first and second substances,

the acquiring module 110 is configured to acquire Gb, Gn, and Gi service data, and generate maneuver command fault task data; the data of the dispatching command fault task comprise fault time, train number, locomotive number, cell, fault type, service type, command number and/or command place and the like.

In some embodiments, the Gb is an interface between a node (SGSN) and a base station controller/packet control unit (BSC/PCU);

the Gn is an interface between the GGSN and the SGSN;

gi is an interface between GGSN and GRIS;

the meanings indicated by the technical terms above can be referred to in table 1:

noun (name)	Description of the invention
		PCU	Packet Control Unit, Packet Control Unit
SGSN	Service GPRS Support Node, GPRS Service Support Node
		GGSN	Gateway GPRS Support Node, GPRS Gateway Support Node
RADIUS	Remote Automation Dial In User Service ServerAccess authentication and certification server
		DNS	Domain Name System, Domain Name Server
HLR	Home Location Register, Home Location Register
		EIR	Equipment Identity Register, Equipment Identity Register

TABLE 1

The intelligent analysis module 120 is configured to load the debug command fault task data at preset time intervals, and analyze the debug command fault task data in a multi-thread manner;

and the consultation center 130 is used for displaying the analysis result of the intelligent analysis module 120.

In some embodiments, the intelligent analysis module 120 includes a data loader, a signaling interpreter, a communication quality inspector, a service packet tracker, and an association analyzer; wherein the content of the first and second substances,

the data loader is configured to load the debug task data at a preset time interval (e.g., 30 seconds), and referring to fig. 2, because there are many packet domain tasks, a multi-process manner is adopted by a plurality of machines, and each process analyzes a task in a multi-thread manner; the method loads and transfers the fault task data of the command in a mode of presetting time intervals, and can further reduce the power consumption of the system;

specifically, process tasks may be assigned as follows:

the method comprises the steps of obtaining an IP address of a server when each process is started, obtaining configured sort (sequentially arranged from 0 without repetition) according to the IP address, carrying out remainder operation filtering tasks aiming at the id of a task to be analyzed and the number of configured servers, and running the task to be analyzed in the process if the total number of id% processes of the task is equal to the sort configured by the server process.

specifically, a data model is built based on a GB/GN/GI normal signaling flow, and whether the signaling flow is abnormal or not is judged. And realizing the abnormity judgment of the signaling flows of PDP activation, PDP deactivation, signaling attachment, signaling detachment, SGSN route updating, PDP creation, PDP updating, PDP deletion and the like.

specifically, according to the train number, the locomotive number, the fault cell, and the fault time in the maneuver command fault task data, querying N (N may be configured according to an actual application scenario, and defaults to the current day) before and after the fault to associate the Abis port measurement report data, and determining whether there is a situation of continuous quality difference of communication quality (continuous quality difference of uplink or downlink communication quality of 5 levels or more), that is, detecting the communication quality of the data.

specifically, Gb, Gn and Gi service data are tracked respectively, and fault reasons are found from a service data layer;

the tracking mode comprises the following steps:

activity detection service tracking mode: and taking the number of the train and the number of the locomotive of the route forecast/scheduling command to be analyzed as a main key, carrying out activity detection in the forward two minutes and carrying out activity detection in the backward two minutes, wherein the time difference between the front activity detection and the back activity detection is less than two minutes, and the number difference between the scheduling command of the front activity detection and the scheduling command of the back activity detection is 1, so that the activity detection is judged to be not interrupted.

Checking and tracking mode of train number: and taking the train number and the locomotive number of the route forecasting/dispatching command to be analyzed as main keys, searching the train number for checking in one minute before and after the train number and the locomotive number, and judging that the train number checking is not interrupted if the time interval between the front time and the rear time is less than or equal to one minute.

CTC error-sending end service tracking mode:

1) there is activity detection in the first two minutes and activity detection in the second two minutes;

2) the difference between the front and rear activity detection time is less than two minutes;

3) if the difference value of the numbers of the scheduling commands of the front and rear activity detection is 1, judging that the activity detection is not interrupted;

4) if the interruption is not generated and the requirement is 3) is met, searching the train number for checking in two minutes from front to back according to the train number; and if the time difference between the front time and the rear time is less than or equal to two minutes, judging the CTC sending error end.

And (4) short-time number changing retransmission, wherein the number of times of retransmission is less than 3 times after the transmission of one scheduling command number fails, and other scheduling commands are changed for transmission.

The time involved in the tracking method can be adjusted according to the actual application scenario.

The association analyzer is configured to summarize detection results of the signaling interpreter, the communication quality inspector, and the service packet tracker, and send the detection results to the consultation center 130;

specifically, the analysis results of the signaling interpreter and the service packet tracker are summarized, and the fault reason is given according to the abnormal time sequence, so that the reason with early occurrence time is used as the main fault reason.

Further, the conclusion of the communication quality inspector may be appended after the integrated conclusion for reference.

In some embodiments, the consultation center 130 may synchronously display the detection (analysis) results sent by the signaling parser, the service packet tracker, the communication quality inspector and/or the association analyzer;

further, according to the user's usage requirements, the consultation center 130 can personalize the corresponding detection report based on the received detection results.

In some embodiments, fig. 3 illustrates an operation flow of the intelligent diagnosis system 100 for a service fault of a railway dispatching command, and as shown in fig. 3, taking a fault without a receipt of a dispatching command as an example, the method includes:

acquiring Gb, Gn and Gi service data and generating transfer command fault task data;

loading the fault task data of the maneuver command through a loader;

the signaling interpreter is respectively associated with Gb, Gn and Gi signaling data according to the fault time, the locomotive number and the train number, executes a signaling abnormity judgment interpreter in the signaling interpreter, and records the time, the place and the problem description of the abnormity;

the service packet tracker associates GB/GN/GI signaling data respectively according to the fault time, the locomotive number and the train number, executes the reason judgment logic of the service packet tracker, and records the time, the place and the problem description of the occurrence of the abnormity.

The communication quality polling device judges whether the communication quality is abnormal or not according to the train number, the locomotive number and the cell association historical communication quality data.

And (3) giving out fault reasons according to the abnormal time sequence by the detection results of the association analyzer signaling interpreter and the service packet tracker, so that the reason with early occurrence time is taken as a main fault reason. The communication quality polling device judges whether interference exists or not as an auxiliary analysis means.

The detection results can be sent to a consultation center for synchronous display.

Referring to fig. 3, the service packet tracker, and the communication quality inspector may be operated in parallel.

The following provides an intelligent diagnosis system for railway dispatching command service faults, which applies the intelligent diagnosis system and carries out fault diagnosis embodiments:

CTC error end:

the fault characteristics are as follows: the new detection of the activity is continuous, the checking of the train number is interrupted, and the information of the locomotive number in the checking of the train number is inconsistent with the information of the issued train number in the scheduling command.

XXXX month XX day 14:33:35L7016 train XX station (dispatching order number 21121) no sign-in.

Referring to fig. 4a-d, the system analysis process:

a, operating a signaling interpreter:

no abnormal signaling is found after the PDP creation is successful until the time of failure.

1.1 associating GB/GN/GI signaling data respectively according to fault time (data in one hour before the fault time), locomotive number and train number, and intercepting the last Create PDP Context Request from the associated data set as the beginning of signaling analysis;

1.2 judging PDP creation abnormity: finding that 13:53:43.807SGSN- > GGSN sends Create PDP Context Request, and 13:53:43.852GGSN- > SGSN sends Create PDP Context Response, the PDP is successfully created;

1.3 judging PDP update abnormity: after the Update PDP Context Request is sent, an Update PDP Context Response is responded, and no exception exists;

1.4 judging PDP deletion abnormity: after the Delete PDP Context Request is sent, a Delete PDP Context Response is responded, and no exception exists;

1.5 judging the signaling attachment abnormity: after the Attach request, there are Attach accept and Attach complete responses, no Attach request occurs, and there is no exception;

1.6 judging the signaling detachment abnormity: after the request of the Detach request, a Detach accept response exists without exception;

1.7 judging the authentication abnormity: after the Authentication and characterization req request, there is an Authentication and characterization resp response, and no Authentication and characterization rej and Authentication and characterization failure occur, and no abnormality exists;

1.8 judging SGSN route updating failure abnormity: after the Routing area update request, Routing area update accept and Routing area update complete responses exist, and no Routing area update request exists, so that no exception exists;

1.9 judging PDP activation abnormity: after the Activate PDP context request, there is an Activate PDP context accept response without exception;

1.10 judging PDP deactivation abnormity: after the Deactivate PDP context request, there is a Deactivate PDP context accept response without exception.

b, operating a service packet tracker:

2.1 check whether the GB/GN/GI port vehicle number is interrupted respectively: and respectively associating GB/GN/GI port train number checking data according to the fault time (the time range is that the fault time is one minute ahead and the fault time is one minute behind), the locomotive number and the train number. The fault time is forward and backward to find a piece of train number checking data, the data is not found, and the train number checking is interrupted;

2.2 judging whether the GB/GN/GI port activity detection is interrupted respectively: and respectively associating GB/GN/GI port activity detection data according to the fault time (the fault time is two minutes before and two minutes after) and the locomotive number and the train number. Searching an activity detection data before and after the fault time, wherein the time interval between the front and the back is not more than two minutes, the difference value of the serial numbers of the scheduling commands of the front and the back activity detections is 1, and the activity detection is not interrupted;

2.3 on the premise that the train number check is interrupted and the activity detection is not interrupted, judging whether the locomotive number of the train number check data before and after the fault is consistent with the locomotive number of the unconfirmed dispatching command or not respectively for the GB/GN/GI port: and respectively associating GB/GN/GI port activity detection data according to the fault time (the fault time is two minutes before and two minutes after) and the train number. And searching a train number checking data before and after the fault time, wherein the time interval between the front and the back is not more than two minutes, the train number of the L7016 train in the found train number checking is 309151, the train number corresponding to the non-signed dispatching command is 30915100, the train number is inconsistent with the dispatching command information, and the characteristic of a transmitting wrong end of the CTC is met.

c. Operating the communication quality polling device:

according to the train number, the locomotive number and the historical communication quality data (Abis port measurement report data) related to the cell, the situation that the continuous quality of the communication quality is not found (the quality of the uplink or downlink communication quality is continuous at 5 levels or more than 5 levels) is eliminated, and the possibility of interference is eliminated.

In combination with the above analysis, it was determined that the non-acceptance of the L7016 train clear new zone (scheduling command number 21121) was due to the CTC failed terminal.

The following provides another intelligent diagnosis system for railway dispatching command service faults, which applies the present disclosure, and performs a fault diagnosis embodiment:

short-time number changing and retransmission:

the fault characteristics are as follows: and after the transmission of one scheduling command number is failed, the retransmission times are less than 3, other scheduling commands are transmitted, the train number is checked without interruption, and the activity detection is not interrupted.

XX month XX day 21:25:59L1374 train XX station (dispatching command number 23230) no sign-in.

Referring to fig. 5a-c, the system analysis process:

a. running a signaling interpreter:

after the PDP is successfully established, no abnormal signaling is found until the failure time;

1.2 judging PDP creation abnormity: finding that 20:36:01.052SGSN- > GGSN sends Create PDP Context Request, and 20:36:01.080GGSN- > SGSN sends Create PDP Context Response, the PDP is successfully created;

b, operating a service packet tracker:

2.1 check whether the GB/GN/GI port vehicle number is interrupted respectively: and respectively associating GB/GN/GI port train number checking data according to the fault time (the time range is that the fault time is one minute ahead and the fault time is one minute behind), the locomotive number and the train number. The fault time is forward and backward to search a piece of train number checking data, the time interval between the front and the back is not more than one minute, and the train number checking is not interrupted;

2.3 on the premise that the number of the train is checked without interruption and the activity detection is not interrupted, judging whether the number of times of sending the scheduling command is less than 3 for the GB/GN/GI port respectively, and changing the number and retransmitting the number if the number is not confirmed: and respectively associating GB/GN/GI port scheduling command data according to the fault time (the day of the fault time), the train number, the locomotive number and the scheduling command number. The data sets are sorted by time, and the route forecast is sent 1 time after the data sets fail to be sent 1 time by scheduling command number 23230 in a ratio of 21:25:59.418, and the route forecast is sent by switching to scheduling command number 23231. And the retransmission times after the transmission of the serial number of the scheduling command is failed are less than 3 times, and other scheduling commands are transmitted instead, so that the short-time number-changing retransmission characteristic is met.

c, operating a communication quality polling device:

according to the train number, the locomotive number and the historical communication quality data (Abis port measurement report data) related to the cell, the situation that the communication quality is continuously poor (the uplink or downlink communication quality is continuously more than 4) is not found, and the possibility of interference is eliminated.

In conjunction with the above analysis, it is judged that the absence of the sign-in of the XX station (the scheduling command number 23230) of the L1374 train is due to the number change retransmission.

The intelligent diagnosis of the railway dispatching command service fault can analyze and judge the fault types shown in the table 2 (intelligent diagnosis):

TABLE 2

It should be noted that the detectable fault types of the system of the present disclosure are not limited to table 2, and table 2 only identifies several common fault types for reference.

According to the embodiment of the disclosure, the following technical effects are achieved:

by carrying out deep theoretical research, protocol stack analysis and signaling flow analysis on Gb, Gn and Gi interfaces and combining the practical application condition of railway transportation, the automatic association of service data and signaling data is realized, and the fault reason is automatically positioned.

It is noted that while for simplicity of explanation, the foregoing method embodiments have been described as a series of acts or combination of acts, it will be appreciated by those skilled in the art that the present disclosure is not limited by the order of acts, as some steps may, in accordance with the present disclosure, occur in other orders and concurrently. Further, those skilled in the art should also appreciate that the embodiments described in the specification are exemplary embodiments and that acts and modules referred to are not necessarily required by the disclosure.

The functions described herein above may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), System On Chip (SOCs), load programmable logic devices (CPLDs), and the like.

Program code for implementing the methods of the present disclosure may be written in any combination of one or more programming languages. These program codes may be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the program codes, when executed by the processor or controller, cause the functions/operations specified in the flowchart and/or block diagram to be performed. The program code may execute entirely on the machine, partly on the machine, as a stand-alone software package partly on the machine and partly on a remote machine or entirely on the remote machine or server.

In the context of this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

Further, while operations are depicted in a particular order, this should be understood as requiring that such operations be performed in the particular order shown or in sequential order, or that all illustrated operations be performed, to achieve desirable results. Under certain circumstances, multitasking and parallel processing may be advantageous. Likewise, while several specific implementation details are included in the above discussion, these should not be construed as limitations on the scope of the disclosure. Certain features that are described in the context of separate embodiments can also be implemented in combination in a single implementation. Conversely, various features that are described in the context of a single implementation can also be implemented in multiple implementations separately or in any suitable subcombination.

Although the subject matter has been described in language specific to structural features and/or methodological acts, it is to be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or acts described above. Rather, the specific features and acts described above are disclosed as example forms of implementing the claims.

Claims

1. An intelligent diagnosis system for railway dispatching command service faults is characterized by comprising an acquisition module, an intelligent analysis module and a consultation center; wherein the content of the first and second substances,

2. The system of claim 1, wherein the mobilize command trouble task data comprises:

3. The system of claim 2, wherein the intelligent analysis module comprises a data loader, a signaling interpreter, a communication quality inspector, a traffic packet tracker, and an association analyzer; wherein the content of the first and second substances,

4. The system of claim 3, wherein the detecting the signaling flow anomaly in the maneuver command trouble task data comprises:

5. The system of claim 4, wherein detecting the communication quality of the data comprises:

6. The system of claim 5, wherein the detecting the failure cause of the service data comprises:

7. The system of claim 6,