WO2014180400A1

WO2014180400A1 - Method and device for locating and processing problem

Info

Publication number: WO2014180400A1
Application number: PCT/CN2014/078566
Authority: WO
Inventors: 於文英; 程冲
Original assignee: 中兴通讯股份有限公司
Priority date: 2013-11-25
Filing date: 2014-05-27
Publication date: 2014-11-13
Also published as: CN104660438A

Abstract

A method and device for locating and processing a problem. The method comprises: acquiring various data used for problem analysis; and, locating the problem by employing a visualization model on the basis of the various data acquired. The present invention solves the problem of, in addition to complex location procedures, low location accuracy in location efficiency as found in the relevant art whereby manual location by professional technical staff is required for locating a problem, thus achieving the effect of not only increased location accuracy but also of increased location efficiency.

Description

The present invention relates to the field of communications, and in particular to a problem location processing method and apparatus. BACKGROUND With the rapid development of data services of 3G and LTE networks, the diversification of online services of smart terminals and the complexity of existing data networks, the problem of slow Internet access by users using smart terminals or data cards has become increasingly prominent, and has become an impact on the end user experience. One of the main problems. There are many reasons for users to go online slowly, such as: network coverage problem; insufficient capacity (insufficient air interface, transmission bandwidth, insufficient bandwidth of GGSN); network element problem (device problems such as base station and core network element); terminal problem; network routing Long (such as visiting abroad) and SP server and other reasons. The location analysis process of such problems is extremely complicated. The current practice is usually to collect the relevant indicators of the user's Internet access, and to sort out the ideas and starting points of the positioning problems from the complicated indicators. The above analysis process often relies on technical experts to find ideas based on their own experience, and the technical threshold is very high. At present, the data in the field of mobile communication, especially the processing and analysis of user behavior data belongs to the category of big data processing, and has the characteristics of irregularity. When the data analysis platform is connected to the existing network and delivered to the user, it is not equipped with network analysis technology. People, it is difficult to solve practical problems. Therefore, the positioning of the problem in the related art requires manual positioning by a professional technician, and there is a problem that not only the positioning process is complicated, but also the positioning accuracy is low, and the positioning efficiency is low. SUMMARY OF THE INVENTION The present invention provides a method and apparatus for problem location processing, so as to solve at least the problem of positioning a problem in the related art, which requires a professional technician to manually perform manual positioning, which is not only complicated in positioning process but also accurate in positioning, and low in positioning efficiency. The problem. According to an aspect of the present invention, a problem location processing method is provided, including: acquiring various types of data for analyzing a problem; and using the visual model to locate the problem according to the acquired types of data. The visualization model includes at least one of the following: a network type data structure model constructed according to network type data; a fault classification data structure model constructed according to fault classification data; and a service classification data structure model constructed according to service classification data. The locating the problem includes at least one of the following: performing protocol-level analysis and positioning on the problem; and performing signaling level analysis and positioning on the problem. The method for analyzing and locating the problem at least one of the following manners includes: analyzing and locating the problem at a protocol level by means of real-time protocol analysis; and performing protocol-level analysis on the problem by means of post-analysis Analyze the positioning. The method for analyzing and locating the problem at the protocol level by means of real-time protocol analysis includes: analyzing and locating the problem at a protocol level by analyzing the manner in which the CDRs are exchanged. After the positioning of the problem by using the visualization model according to the obtained various types of data, the method further includes: refining the visualization model by regressing the problem of the positioning; and/or outputting a problem Position the results. According to another aspect of the present invention, a problem location processing apparatus is provided, including: an acquisition module configured to acquire various types of data for analyzing a problem; and a positioning module configured to perform visualization according to the acquired types of data The model locates the problem. The positioning module includes at least one of the following: a first analyzing unit configured to perform protocol level analysis and positioning on the problem; and a second analyzing unit configured to perform signalling level analysis and positioning on the problem. The first analysis unit includes at least one of the following: a first analysis subunit configured to perform protocol level analysis and positioning on the problem by means of real-time protocol analysis; and a second analysis sub-unit configured to pass post-analysis The way to analyze the problem at the protocol level. The first analysis subunit includes: a first analysis sub-subunit, configured to perform protocol level analysis and positioning on the problem by analyzing a billing signaling interaction manner. The apparatus further includes: a perfecting module configured to refine the visualization model by regression of the problem of the positioning; and/or an output module configured to output a problem positioning result. According to the present invention, various types of data for analyzing the problem are obtained. According to the obtained various types of data, the problem is located by using a visual model, and the positioning of the problem in the related technology is solved by a professional technician. Manual positioning has the problems that not only the positioning process is complicated, but also the positioning accuracy and the positioning efficiency are low, and the effect of not only improving the positioning accuracy but also the positioning efficiency is achieved. BRIEF DESCRIPTION OF THE DRAWINGS The accompanying drawings, which are set to illustrate,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, 1 is a flowchart of a problem location processing method according to an embodiment of the present invention; FIG. 2 is a structural block diagram of a problem location processing apparatus according to an embodiment of the present invention; FIG. 3 is a problem location according to an embodiment of the present invention. A preferred block diagram of the positioning module 24 in the processing device; FIG. 4 is a block diagram showing a preferred structure of the first analyzing unit 32 in the positioning module 24 in the problem location processing device according to an embodiment of the present invention; FIG. 5 is a problem positioning according to an embodiment of the present invention. A preferred block diagram of the first analysis subunit 42 in the first analysis unit 32 of the positioning module 24 in the processing device; FIG. 6 is a block diagram showing the structure of the problem location processing device according to an embodiment of the present invention; FIG. 7 is a preferred embodiment according to the present invention. FIG. 8 is a schematic diagram showing the function of a dynamic model building module and a visual analysis module according to a preferred embodiment of the present invention; FIG. 9 is a schematic diagram of in-depth bill analysis according to a preferred embodiment of the present invention; Is a schematic diagram of further in-depth signaling code stream analysis according to a preferred embodiment of the present invention; A specific fault model according to a preferred embodiment of the present invention shows a schematic diagram of the processing of fault location convergence. BEST MODE FOR CARRYING OUT THE INVENTION Hereinafter, the present invention will be described in detail with reference to the accompanying drawings. It should be noted that the embodiments in the present application and the features in the embodiments may be combined with each other without conflict. A problem location processing method is provided in this embodiment. FIG. 1 is a flowchart of a problem location processing method according to an embodiment of the present invention. As shown in FIG. 1, the process includes the following steps: Step S102: Acquire various types of data for analyzing the problem. Step S104: According to the acquired various types of data, use a visual model to locate the problem. Through the above steps, according to the visualization module and the various types of data obtained for analyzing the problem, the positioning of the problem in the related technology is solved by a professional technician, and the positioning process is complicated, and the positioning accuracy is not only As well as the problem of low positioning efficiency, the effect of not only improving positioning accuracy but also positioning efficiency is achieved. The visualization model may involve multiple aspects of data, and on the one hand, depending on the type of the data, for example, may include at least one of the following: a network type data structure model constructed based on network type data; a fault classification constructed based on fault classification data Data structure model; a business classification data structure model constructed based on business classification data. On the other hand, depending on the analysis of the problem, depending on the acquired data, the visualization model can be used to locate the problem. For example, it can include at least one of the following: analysis and location of the problem at the protocol level; Analyze and locate the signaling level. The method of analyzing and locating the problem at the protocol level may also adopt multiple methods. For example, at least one of the following methods may be adopted: analyzing and locating the problem at a protocol level by means of real-time protocol analysis; and performing the problem by post-analysis Analytical positioning at the protocol level. It should be noted that when the problem is analyzed and located at the protocol level by means of real-time protocol analysis, the problem can be analyzed and located at the protocol level by analyzing the interaction of the bill signaling. After the problem is located according to the acquired various types of data, the visualization model may be used to refine the visualization model; and/or, the problem location result may be output. In the embodiment, a problem locating processing device is provided, which is used to implement the above-mentioned embodiments and preferred embodiments, and has not been described again. As used hereinafter, the term "module" may implement a combination of software and/or hardware of a predetermined function. Although the apparatus described in the following embodiments is preferably implemented in software, hardware, or a combination of software and hardware, is also possible and conceivable. 2 is a block diagram showing the structure of a problem location processing apparatus according to an embodiment of the present invention. As shown in FIG. 2, the apparatus includes an acquisition module 22 and a positioning module 24. The apparatus will be described below. The obtaining module 22 is configured to acquire various types of data for analyzing the problem. The positioning module 24 is connected to the obtaining module 22, and is configured to locate the problem by using a visual model according to the acquired various types of data. 3 is a block diagram of a preferred structure of the positioning module 24 in the problem location processing apparatus according to the embodiment of the present invention. As shown in FIG. 3, the positioning module 24 includes at least one of the following: a first analyzing unit 32, a second analyzing unit 34, The positioning module 24 will be described below. The first analyzing unit 32 is configured to perform protocol level analysis and positioning on the problem; and the second analyzing unit 34 is configured to perform signalling level analysis and positioning on the problem. FIG. 4 is a block diagram showing a preferred structure of the first analyzing unit 32 in the positioning module 24 in the problem location processing apparatus according to the embodiment of the present invention. As shown in FIG. 4, the first analyzing unit 32 includes at least one of the following: The unit 42 and the second analysis subunit 44 will be described below for the first analysis unit 32. The first analysis sub-unit 42 is configured to analyze and locate the problem at a protocol level by means of real-time protocol analysis; the second analysis sub-unit 44 is configured to analyze and locate the problem at a protocol level by means of post-analysis. FIG. 5 is a block diagram showing a preferred structure of the first analyzing subunit 42 in the first analyzing unit 32 of the positioning module 24 in the problem location processing apparatus according to the embodiment of the present invention. As shown in FIG. 5, the first analyzing subunit is shown below. 42 for explanation. The first analysis sub-sub-unit 52 is configured to analyze and locate the problem at a protocol level by analyzing the manner in which the bill-to-signal interaction is performed. FIG. 6 is a structural block diagram of a problem location processing apparatus according to an embodiment of the present invention. As shown in FIG. 6, the apparatus includes a perfecting module 62 and/or an output module 64, in addition to all the modules shown in FIG. The device will be described. The perfecting module 62 is connected to the positioning module 24, and is configured to complete the visualization model by regressing the problem of positioning; the output module 64 is connected to the positioning module 24, and is configured to output a problem positioning result. In the related art, the problem that the user uses the smart terminal or the data card to access the Internet is slow. In this embodiment, a positioning idea or a method is provided, which can be constructed, adaptive, scalable, and visualized. The method to solve the general problem scenario of users using the terminal to slow down the Internet. For example, the method generally includes the following steps: The scenario analysis model can be constructed by an empirical model of a network technology expert, and can be refined and solidified; wherein the threshold and the algorithm of the related indicator can be adaptively adjusted according to the positioning analysis requirement; The model has a high degree of visualization, fully reveals the problem-solving ideas, and the technical indicators are comprehensive, which can facilitate users to classify, locate, and discover problems. It should be noted that the model of the method can be extended to other problem scenarios to solve a certain commonality. problem. Through the above method and device, the problem that the scene of the user is slow in the related art cannot be visualized, cannot be extended, and the technical threshold is high. Preferred embodiments of the present invention will now be described with reference to the accompanying drawings. 7 is a structural block diagram of a visualization processing system according to a preferred embodiment of the present invention. As shown in FIG. 7, the system includes: a data access module 71 (functioning with the above acquisition module 22) and a dynamic model building module 72 (set to build The above various visualization models), the visual model analysis module 73 (functioning with the positioning module 24 described above), the bill analysis module 74 (functioning with the first analysis unit 32 described above), and the signaling analysis module 75 (functioning with the second analysis unit described above) 34) and an output external interface module 76 (having the same function as the output module 64 described above), through the above system, implementing a closed loop from the code stream analysis module to the dynamic modeling module. The system will be described below. The data access module 71 is configured to input data, that is, obtain various CDR and SIG data, and analyze data including terminal side, wireless side, core network side, and SP side. The dynamic model building module 72 extracts the dynamic visualization model according to the problem analysis problem of the relevant technical experts on the existing scene problem, and the model may be layered by the underlying network element KPI, the intermediate perceived KQI and the uppermost QOE indicator. Tree structure. The visual model analysis module 73 can quickly find the ΚΡΙ index of the abnormal state on the convergence tree model (the abnormal state is controlled by a threshold threshold and the like). And through the comparison of the indicators, the problem location or the location range can be quickly categorized, for example, the problem can be attributed to the wireless side or the core network side. The bill analysis module 74 further analyzes the cause of the problem, such as the failure reason of the RAB assignment error or the failure of the PDP activation, by analyzing the level of the CDR (a certain user service session) level. The reason and so on. The signaling analysis module 75 needs to further mine the signaling corresponding to the bill, for example, the signaling sequence diagram to analyze the abnormality of a certain signaling interaction. This module can accurately analyze the cause of signaling interaction anomalies at the protocol level. And based on the results of the problem location to determine whether the fault model needs to be improved. The output external interface module 76 automatically constructs a problem scenario analysis report of the user for the output of the analysis module, and the report can be further analyzed and processed by the user through WEB/SMS/SOAP/S MP/FTP. Through the above system, 1) can provide the accuracy and efficiency of problem location analysis; 2) greatly reduce the threshold of problem location analysis and technical cost through visual modeling and model analysis; 3) through other modules Continuous improvement of the analysis results enhances the ability of the model to expose the details of the problem; 4) The analysis ideas and processes of the problem domain can not solve the problem of rapid replication; and ultimately, the network quality and user perception are improved at low cost and efficiency. The functions of the dynamic model building module 72 and the visual analysis module 73 will be separately described below. FIG. 8 is a schematic diagram showing the function realization of a dynamic model building module and a visual analysis module according to a preferred embodiment of the present invention. As shown in FIG. 8, the respective portions of FIG. 8 are separately described below.

1.1 Dynamic Internet Slow Modeling

(1) constructing a network type data structure, the network type data structure including a network ID and a network name;

(2) constructing a fault classification data structure, and the fault classification data structure includes a fault ID and a fault name;

(3) construct a service classification data structure, the service classification data structure includes a service ID, an indicator group ID, a sub-node id, a parent node id, and a node name;

(4) Construct a network indicator data structure, and the network indicator data structure includes the indicator ID, the indicator level, the indicator name, and the indicator group id.

(5) constructing a network type, a fault type, and a data structure associated with the service classification, and setting to uniquely determine a fault model classification; associating the indicator group ID of (4) with the indicator group ID of (3), completing the network indicator and the service classification Correlation, through the data structure of (5) to complete the association of network type, fault type and business type, through the configuration of the association of such data structure, form a problem analysis model, the problem analysis model can be reflected by the database, or can be passed through xml format (not limited to xml format) and other types of files, this program is embodied in xml file format, the problem analysis model is as follows: <faultanalyses>

</kpi>

<thresholds> <threshold level:" 1" value:" 1000" desc=' '优' /> threshold level="2" value="500" desc="良" l> threshold level="3" value=" 100" desc="中'' /> </thresholds>

</kpi>

</kpis> </faultanalyse> </faultanalyses> Problem Analysis Model Rule Description:

(1) Determine the problem analysis model by faultid, netype appgroup_type;

(2) Configure the hierarchical relationship of the entire problem analysis model through appgroupid and parentappgroup_id;

(3) KPIID represents the key network indicator ID; (4) According to faultid, netype, appgroup_type appgroupid, the model positioning condition is: _a ppgiO _U p_type is 0 is the starting node of a fault analysis model.

1.2 Model loading. Load and display the model of A;

1.3 Data extraction. Extracting the network indicator data NetData to be analyzed from the network data collected by the system for subsequent analysis;

1.4 Filter and analyze network indicator data. Combine the problem analysis model of module A with the data extracted by module C, and perform data filtering analysis. The analysis method is as follows:

(1) cyclically extracting each KPIID of the problem analysis model;

(2) According to the KPIID in (1), read the corresponding value from NetData; compare the value obtained in (2) with the thresholds rule value under the current KPIID node in (1), according to the threshold value The classification analysis of NetData, through T0PN analysis to find the fault node that most affects the problem, analyze and find out the problem. CDR analysis: The conclusion of the fault model analysis. If further locating analysis is required, the CDR analysis module is further entered from the T0PN resource list. FIG. 9 is a schematic diagram of in-depth bill analysis according to a preferred embodiment of the present invention. As shown in FIG. 9, an error bill and an abnormal bill are analyzed to further locate the fault or the cause of the error.

2.1 The data input module outputs the bill, enters the real-time bill management, and outputs the bills output from the real-time bill management module to the real-time bill collecting module, and simultaneously generates the bill file and pushes it to the commercial database DB;

2.2 Real-time bill collection, support distributed deployment, collect the bills sent to the real-time bills total control module summary; 2.3 Real-time bill management to set the bill file threshold, generate bill files;

2.4 CDR file push, set the push time, push the CDR file to the commercial database DB.

2.5 Abnormal bills and error bill analysis requests are analyzed by business logic to determine whether to extract real-time bill data or post-analysis data, and send real-time bill request to the real-time bill master control module, and then analyze the bill extract request to be sent to the business. The database DB obtains the bill data that conforms to the business logic. 10 is a schematic diagram of continuing in-depth signaling code stream analysis according to a preferred embodiment of the present invention. As shown in FIG. 10, in-depth analysis can be continued from the bill list, and a finer-grained signaling interaction is entered to analyze the underlying error cause. Provides real-time protocol analysis and post-analysis. The real-time code stream analysis and the post-analysis code stream are distinguished, and the real-time code stream analysis is located in the signal analysis based on the abnormal CDR and the simulated abnormal scene. The post-analysis code stream is a signaling list that matches and extracts the synthesized bill according to the abnormal bill. The detailed signaling analysis of the abnormal signaling, the timing analysis of the signaling, and the flow of the extracted signaling complete the association analysis method of the service flow, the bill, and the signaling, and the user locates the signaling fault. Combining the problems of the above-mentioned various links and the classification and screening, the personalized problem location analysis report is submitted to the user in various flexible external interfaces. Evaluate the algorithm indicators, filter rules, and improve the fault analysis model of the preset model for subsequent analysis. FIG. 11 is a schematic diagram showing the processing of fault location convergence according to a specific fault model according to a preferred embodiment of the present invention. As shown in FIG. 11, the numbers and letters shown in the figure are briefly described below. The meaning of each digit is as follows: 1. ATTACH success rate; 2. PDP success rate; 3. DNS success rate; 4. First success rate of webpage; 5. Overall success rate of webpage; 6. Downward packet loss rate; 7. ATTACH Delay; 8, DNS delay; 9, PDP delay. The meanings of each letter are as follows: A. The first response delay of the network element; B. The complete response delay of the webpage; C. The average delay of the built-in link on the wired side; D. The download rate of the webpage; E. The user perception score of the webpage is QOE. Based on the above-mentioned Figure 11, the user complains that the Internet is slow, and the model is analyzed layer by layer. The user perceives the Internet slow-> the first response delay of the network element-> the complete response delay of the network, and the final problem converges on the SP side. Then use the TOPN worst analysis to find the worst SP website, extract the bill record of the SP website, use the bill analysis to find out the user's failed bill record during this time, and find out the reason for the failure (404 server failure). If the cause of the failure still needs further positioning, the signaling positioning analysis may be continued, and finally the website may be positioned to reject the request for the webpage. The server sets the filtering rule and finally outputs the analysis report. Obviously, those skilled in the art should understand that the above modules or steps of the present invention can be implemented by a general-purpose computing device, which can be concentrated on a single computing device or distributed over a network composed of multiple computing devices. Alternatively, they may be implemented by program code executable by the computing device, such that they may be stored in the storage device by the computing device and, in some cases, may be different from the order herein. Perform the steps shown or described, or separate them into individual integrated circuit modules, or Multiple of these modules or steps are fabricated as a single integrated circuit module. Thus, the invention is not limited to any specific combination of hardware and software. The above is only the preferred embodiment of the present invention, and is not intended to limit the present invention, and various modifications and changes can be made to the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and scope of the present invention are intended to be included within the scope of the present invention. INDUSTRIAL APPLICABILITY As described above, the above embodiments and preferred embodiments not only solve the problem of positioning the problem in the related art, but also need to be manually positioned by a professional technician, and there are not only the positioning process is complicated, but also the positioning accuracy and the positioning efficiency. Low problems, which in turn greatly improve the accuracy of positioning and positioning efficiency.

Claims

Claim

1. A method for problem location processing, comprising:

Obtain various types of data for analyzing problems;

According to the obtained various types of data, the problem is located by using a visual model.

2. The method of claim 1, wherein the visualization model comprises at least one of the following:

a network type data structure model constructed based on network type data;

A fault classification data structure model constructed based on fault classification data;

A business classification data structure model constructed based on business classification data.

3. The method according to claim 1, wherein locating the problem comprises at least one of: performing protocol level analysis and positioning on the problem;

Analyze and locate the problem at the signaling level.

4. The method according to claim 3, wherein the analyzing the positioning of the problem at least one of the following manners comprises:

The problem is analyzed and located at the protocol level by means of real-time protocol analysis; the problem is analyzed and located at a protocol level by means of post-analysis.

5. The method according to claim 4, wherein the analyzing and locating the problem at the protocol level by means of real-time protocol analysis comprises:

The problem is analyzed and located at the protocol level by analyzing the manner in which the CDRs are exchanged.

The method according to any one of claims 1 to 5, further comprising: after locating the problem by using the visualization model according to the obtained type of data, further comprising:

The visualization model is refined by regression of the problem of positioning; and/or, the problem location result is output.

7. A problem location processing apparatus, comprising:

The acquisition module is set to obtain various types of data for analyzing the problem; The positioning module is configured to locate the problem by using a visual model according to the obtained various types of data.

8. The apparatus according to claim 7, wherein the positioning module comprises at least one of the following:

The first analyzing unit is configured to perform protocol level analysis and positioning on the problem; and the second analyzing unit is configured to perform signalling level analysis and positioning on the problem.

The apparatus according to claim 8, wherein the first analyzing unit comprises at least one of the following: a first analyzing subunit, configured to perform protocol level analysis and positioning on the problem by means of real-time protocol analysis;

The second analysis sub-unit is arranged to perform protocol-level analysis and location of the problem by means of post-analysis.

10. The apparatus according to claim 9, wherein the first analysis subunit comprises:

The first analysis sub-subunit is configured to perform protocol level analysis and positioning on the problem by analyzing the CDR signaling interaction.

The apparatus according to any one of claims 7 to 10, further comprising: a refinement module configured to refine the visualization model by regression of the problem of positioning; and/or,

The output module is set to output the problem location result.