CN112671564A - Method and device for automatically diagnosing VPDN service fault of Internet of things - Google Patents

Method and device for automatically diagnosing VPDN service fault of Internet of things Download PDF

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CN112671564A
CN112671564A CN202011482826.8A CN202011482826A CN112671564A CN 112671564 A CN112671564 A CN 112671564A CN 202011482826 A CN202011482826 A CN 202011482826A CN 112671564 A CN112671564 A CN 112671564A
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state
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authentication log
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黄志慧
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Zhongying Youchuang Information Technology Co Ltd
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Abstract

The invention discloses a method and a device for automatically diagnosing VPDN service faults of the Internet of things, wherein the method comprises the following steps: inputting an MDN, respectively inquiring the network opening state and the network using state of 2G, 3G and 4G of the MDN, and diagnosing and outputting the user state by combining the card type of the MDN number segment; respectively inquiring the 3GAAA signing information, the 4GAAA signing information, the VPDN AAA signing information, the 3GAAA authentication log, the 4GAAA authentication log, the VPDN AAA authentication log, the 4G call ticket and the 3G call ticket, and diagnosing and outputting a service signing state and a service using state by combining the card type of the MDN number segment; and outputting a final VPDN service fault diagnosis conclusion by combining the VPDN service fault diagnosis model according to the output user state, the service subscription state and the service use state. The method and the device automatically diagnose the service fault reasons by combining the network element data and the diagnosis model, shorten the fault reporting processing time, and improve the fault processing efficiency and the fault judgment accuracy.

Description

Method and device for automatically diagnosing VPDN service fault of Internet of things
Technical Field
The invention relates to the field of VPDN fault diagnosis of the Internet of things, in particular to a method and a device for automatically diagnosing VPDN service faults of the Internet of things.
Background
The internet of things service is one of five major services of the key development of the telecommunication in China, and except for the common internet, the number of users for opening a Virtual Private Dial-up network (VPDN) service is the largest. In the fault handling work order for accepting the complaints of the users, except for the common internet access service, the VPDN service fault accounts for the largest proportion. The VPDN fault diagnosis of the Internet of things relates to links such as a client terminal, a platform and a private network of the Internet of things, wherein a VPDN fault needs to inquire user data of a plurality of network element devices, the service logic flow is complex, and related fault sections and fault reasons are numerous. The fault handling needs the internet of things maintainer to have higher professional skills and abundant fault handling experience, and general customer service personnel and work order processing personnel cannot understand the business process with complex VPDN, so that the time for the internet of things user to report work order handling is too long, the average time is more than 2 days, and the enterprise customer perception is poor.
Disclosure of Invention
In order to solve the problems that the VPDN service fault processing time of the Internet of things is too long, the fault cause cannot be accurately judged due to insufficient experience of customer service and work order processing personnel and the like, the invention provides the method and the device for automatically diagnosing the VPDN service fault of the Internet of things, the fault cause can be automatically diagnosed by combining network element data and a diagnosis model, the fault reporting processing time is shortened, and the fault processing efficiency and the fault judgment accuracy are improved.
In order to achieve the purpose, the invention adopts the following technical scheme:
in an embodiment of the present invention, a method for automatically diagnosing a VPDN service fault of an internet of things is provided, where the method includes:
inputting an MDN, respectively inquiring the network opening state and the network using state of 2G, 3G and 4G of the MDN, and diagnosing and outputting the user state by combining the card type of the MDN number segment;
respectively inquiring the 3GAAA signing information, the 4GAAA signing information, the VPDN AAA signing information, the 3GAAA authentication log, the 4GAAA authentication log, the VPDN AAA authentication log, the 4G call ticket and the 3G call ticket, and diagnosing and outputting a service signing state and a service using state by combining the card type of the MDN number segment;
and outputting a final VPDN service fault diagnosis conclusion by combining the VPDN service fault diagnosis model according to the output user state, the service subscription state and the service use state.
Further, the diagnostic logic model of the user state includes: diagnostic items, diagnostic logic, and user states, wherein the diagnostic logic comprises: card status, 2G open status, 3G open status, 4G open status, 2G network status, 3G network status, and 4G network status.
Further, the diagnosis logic model of the service subscription state and the service use state comprises: service diagnosis items, query logic, judgment logic and service states.
Further, the VPDN service fault diagnosis model comprises:
the method comprises the steps of user state judgment, judgment of whether to sign a VPDN on a 3GAAA, judgment of whether to sign a VPDN on a 4GAAA, whether to use a secondary AAA of an Internet of things company, whether to configure an LNS client on the VPDN AAA, whether to sign a domain name on the VPDN AAA, a 4GAAA last authentication log result, a VPDN 4G AAA last authentication log result, whether a 4G call ticket exists, a 3GAAA last authentication log result, a VPDN 3G AAA last authentication log result, whether a3G call ticket exists and a conclusion.
In an embodiment of the present invention, a device for automatically diagnosing a VPDN service fault of an internet of things is further provided, where the device includes:
the user state diagnosis module is used for inputting the MDN, respectively inquiring the network opening state and the network using state of 2G, 3G and 4G of the MDN, and diagnosing and outputting the user state by combining the card type of the MDN number segment;
the service state diagnosis module is used for respectively inquiring the 3GAAA subscription information, the 4GAAA subscription information, the VPDN AAA subscription information, the 3GAAA authentication log, the 4GAAA authentication log, the VPDN AAA authentication log, the 4G call ticket and the 3G call ticket, and diagnosing and outputting a service subscription state and a service use state by combining the card type of the MDN number section;
and the VPDN service fault diagnosis module is used for outputting a final VPDN service fault diagnosis conclusion according to the output user state, the service signing state and the service using state by combining the VPDN service fault diagnosis model.
Further, the diagnostic logic model of the user state includes: diagnostic items, diagnostic logic, and user states, wherein the diagnostic logic comprises: card status, 2G open status, 3G open status, 4G open status, 2G network status, 3G network status, and 4G network status.
Further, the diagnosis logic model of the service subscription state and the service use state comprises: service diagnosis items, query logic, judgment logic and service states.
Further, the VPDN service fault diagnosis model comprises:
the method comprises the steps of user state judgment, judgment of whether to sign a VPDN on a 3GAAA, judgment of whether to sign a VPDN on a 4GAAA, whether to use a secondary AAA of an Internet of things company, whether to configure an LNS client on the VPDN AAA, whether to sign a domain name on the VPDN AAA, a 4GAAA last authentication log result, a VPDN 4G AAA last authentication log result, whether a 4G call ticket exists, a 3GAAA last authentication log result, a VPDN 3G AAA last authentication log result, whether a3G call ticket exists and a conclusion.
In an embodiment of the present invention, a computer device is further provided, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and when the processor executes the computer program, the method for automatically diagnosing a VPDN service fault of an internet of things is implemented.
In an embodiment of the present invention, a computer-readable storage medium is further provided, where the computer-readable storage medium stores a computer program for executing the method for automatically diagnosing the VPDN service failure of the internet of things.
Has the advantages that:
1. the invention realizes the input of the user fault number, the one-key diagnosis of the user fault reason and the processing suggestion.
2. The invention provides a professional VPDN service fault diagnosis model of the Internet of things.
3. The invention combines a large amount of user subscription information, user network opening information, authentication information of the user on the network element, call ticket information of the user and the like to diagnose the fault in all aspects, thereby greatly improving the accuracy of diagnosis.
4. The invention returns the conclusion to the front-line customer service staff and the work order processing staff, and can return the fault reason to the client in a short time without professional skills, thereby greatly improving the processing efficiency and the client satisfaction degree.
Drawings
Fig. 1 is a schematic flow chart of a method for automatically diagnosing a VPDN service fault of the internet of things according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of an apparatus for automatically diagnosing a VPDN service fault of the internet of things according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a computer device according to an embodiment of the present invention.
Detailed Description
The principles and spirit of the present invention will be described below with reference to several exemplary embodiments, which should be understood to be presented only to enable those skilled in the art to better understand and implement the present invention, and not to limit the scope of the present invention in any way. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
As will be appreciated by one skilled in the art, embodiments of the present invention may be embodied as a system, apparatus, device, method, or computer program product. Accordingly, the present disclosure may be embodied in the form of: entirely hardware, entirely software (including firmware, resident software, micro-code, etc.), or a combination of hardware and software.
According to the embodiment of the invention, a method and a device for automatically diagnosing VPDN service faults of the Internet of things are provided, wherein the VPDN automatic diagnosis function has a total of 148 diagnosis logics, and the diagnosis logics are mainly divided into three parts, namely public state logic judgment (user network state), 4G VPDN service state logic diagnosis and 3G VPDN service state logic diagnosis. The specific idea is as follows: judging the public state logic, and inquiring the card state, the network opening state, the network using state and the like; respectively diagnosing LNS configuration information of 3GAAA, 4GAAAA, VPDN AAA service subscription and VPDN AAA according to the network opening state; the service use state diagnosis logic object has information such as 3GAAA primary authentication log, 4GAAA primary authentication log, 3G/4G ticket, VPDN AAA authentication state and the like; and diagnosing according to the user state information and the service state information, and outputting a corresponding fault analysis reason by combining a diagnosis model.
The principles and spirit of the present invention are explained in detail below with reference to several representative embodiments of the invention.
Fig. 1 is a flowchart of a method for automatically diagnosing a VPDN service fault of the internet of things according to an embodiment of the present invention. As shown in fig. 1, the method includes:
s1, inputting the MDN, respectively inquiring the network opening state and the network using state of 2G, 3G and 4G of the MDN, and diagnosing and outputting the user state by combining the card type of the MDN number segment, wherein the diagnosis logic is as the following table 1:
TABLE 1
Figure BDA0002838092390000061
Figure BDA0002838092390000071
S2, respectively inquiring the 3GAAA signing information, the 4GAAA signing information, the VPDN AAA signing information, the 3GAAA authentication log, the 4GAAA authentication log, the VPDN AAA authentication log, the 4G call ticket and the 3G call ticket, and diagnosing and outputting the service signing state and the service using state by combining the card type of the MDN number section, wherein the diagnosis logic model is as the following table 2:
TABLE 2
Figure BDA0002838092390000072
Figure BDA0002838092390000081
S3, according to the output user state, service signing state and service using state, combining with VPDN service fault diagnosis model, outputting the final VPDN service fault diagnosis conclusion, the VPDN service fault diagnosis model is as following table 3:
TABLE 3
Figure BDA0002838092390000082
Figure BDA0002838092390000091
Figure BDA0002838092390000101
Figure BDA0002838092390000111
Figure BDA0002838092390000121
Figure BDA0002838092390000131
Figure BDA0002838092390000141
Figure BDA0002838092390000151
Figure BDA0002838092390000161
Figure BDA0002838092390000171
Figure BDA0002838092390000181
Figure BDA0002838092390000191
Figure BDA0002838092390000201
Figure BDA0002838092390000211
Figure BDA0002838092390000221
Figure BDA0002838092390000231
Figure BDA0002838092390000241
Figure BDA0002838092390000251
Figure BDA0002838092390000261
Figure BDA0002838092390000271
Figure BDA0002838092390000281
Figure BDA0002838092390000291
Figure BDA0002838092390000301
Figure BDA0002838092390000311
Figure BDA0002838092390000321
Figure BDA0002838092390000331
Figure BDA0002838092390000341
Figure BDA0002838092390000351
Figure BDA0002838092390000361
Figure BDA0002838092390000371
Figure BDA0002838092390000381
Figure BDA0002838092390000391
Figure BDA0002838092390000401
Figure BDA0002838092390000411
Figure BDA0002838092390000421
Figure BDA0002838092390000431
Figure BDA0002838092390000441
Figure BDA0002838092390000451
Figure BDA0002838092390000461
Figure BDA0002838092390000471
Figure BDA0002838092390000481
Figure BDA0002838092390000491
Figure BDA0002838092390000501
Figure BDA0002838092390000511
Figure BDA0002838092390000521
Figure BDA0002838092390000531
Figure BDA0002838092390000541
Figure BDA0002838092390000551
Figure BDA0002838092390000561
Figure BDA0002838092390000571
Figure BDA0002838092390000581
Figure BDA0002838092390000591
Figure BDA0002838092390000601
Figure BDA0002838092390000611
Figure BDA0002838092390000621
It should be noted that although the operations of the method of the present invention have been described in the above embodiments and the accompanying drawings in a particular order, this does not require or imply that these operations must be performed in this particular order, or that all of the operations shown must be performed, to achieve the desired results. Additionally or alternatively, certain steps may be omitted, multiple steps combined into one step execution, and/or one step broken down into multiple step executions.
For a clearer explanation of the method for automatically diagnosing the VPDN service fault of the internet of things, a specific embodiment is described below, but it should be noted that the embodiment is only used for better explaining the present invention and is not to be construed as an undue limitation on the present invention.
An initial page:
inputting: automatically associating a domain name list bound by the MDN/IMSI number, and pulling down to select the VPDN domain name to be diagnosed;
clicking: the diagnosis is started.
Page in the diagnosis process:
basic information of diagnosis numbers, such as MDN, 3GIMSI, 4GIMSI, domain name and diagnosis start time, is displayed in the information to be diagnosed, and the progress percentage is displayed according to the diagnosis process by the lower progress circle until the progress is 100%, such as the number: 861064912333677, domain name: dgxiaochedjy.vpdn.gd, information to be diagnosed: the user number: 861064912333677, 3 GIMSI: 460037601236503, 4 GIMSI: 460110664060163, domain name: dgxiaochedjy. vpdn. gd, start time: 2018-06-0921:13:18.
And (4) diagnosis conclusion:
when all the diagnosis parameters are completely inquired and matched with the expert database one by one, if the matching with the expert database is successful, displaying a corresponding diagnosis conclusion, and if no 4GAAA authentication record exists within 3 days of the 4G card, no call bill exists, and the diagnosis is to be determined; 3GAAA authentication records are not available within 3 days, but no call bill is available, and the call bill is to be determined; if the diagnosis result is not matched with the expert database, the actual output value of each diagnosis item is displayed in the diagnosis details, and the diagnosis conclusion displays that the diagnosis result is not matched with the expert database and the expert database is required to be perfected.
The diagnosis conclusion can be copied so that the customer service staff can directly send the diagnosis conclusion to the fault reporting client.
And clicking to check diagnosis details:
and clicking to check the diagnosis details to display the output value of each diagnosis item, and if the output value is matched with the preset diagnosis item output result of each diagnosis item displayed in the expert database, if the output value is matched with the preset diagnosis item output result of each diagnosis item, displaying the diagnosis items: user state judgment, judgment whether to sign a VPDN on a 3GAAA, judgment whether to sign a VPDN on a 4GAAA, whether to use a secondary AAA of an Internet of things company, whether to configure an LNS client on the VPDN AAA, whether to sign a domain name on the VPDN AAA, a 4GAAA last authentication log result, a VPDN 4G AAA last authentication log result, whether a 4G call ticket exists, a 3GAAA last authentication log result, a VPDN 3G AAA last authentication log result and whether a3G call ticket exists, and corresponding diagnosis results: 4G card-state normal, signed, yes, no, yes, null, no ticket, no and no ticket; and if the diagnosis items are not matched with the expert database, displaying the actual output value of each diagnosis item in the diagnosis details.
Based on the same invention concept, the invention also provides a device for automatically diagnosing the VPDN service fault of the Internet of things. The implementation of the device can be referred to the implementation of the method, and repeated details are not repeated. The term "module," as used below, may be a combination of software and/or hardware that implements a predetermined function. Although the means described in the embodiments below are preferably implemented in software, an implementation in hardware, or a combination of software and hardware is also possible and contemplated.
Fig. 2 is a schematic structural diagram of an apparatus for automatically diagnosing a VPDN service fault of the internet of things according to an embodiment of the present invention. As shown in fig. 2, the apparatus includes:
a user state diagnosis module 101, configured to input the MDN, respectively query the network open states and network use states of 2G, 3G, and 4G of the MDN, and diagnose and output a user state in combination with the card type to which the MDN number segment belongs;
the diagnostic logic model of the user state includes: diagnostic items, diagnostic logic, and user states, wherein the diagnostic logic comprises: card status, 2G open status, 3G open status, 4G open status, 2G network status, 3G network status, and 4G network status.
The service state diagnosis module 102 is used for respectively inquiring the 3GAAA subscription information, the 4GAAA subscription information, the VPDN AAA subscription information, the 3GAAA authentication log, the 4GAAA authentication log, the VPDN AAA authentication log, the 4G call ticket and the 3G call ticket, and diagnosing and outputting a service subscription state and a service use state by combining the card type of the MDN number segment;
the diagnosis logic model of the service subscription state and the service use state comprises the following steps: service diagnosis items, query logic, judgment logic and service states.
The VPDN service fault diagnosis module 103 is configured to output a final VPDN service fault diagnosis conclusion according to the output user state, service subscription state and service use state in combination with the VPDN service fault diagnosis model;
the VPDN service fault diagnosis model comprises the following steps:
the method comprises the steps of user state judgment, judgment of whether to sign a VPDN on a 3GAAA, judgment of whether to sign a VPDN on a 4GAAA, whether to use a secondary AAA of an Internet of things company, whether to configure an LNS client on the VPDN AAA, whether to sign a domain name on the VPDN AAA, a 4GAAA last authentication log result, a VPDN 4G AAA last authentication log result, whether a 4G call ticket exists, a 3GAAA last authentication log result, a VPDN 3G AAA last authentication log result, whether a3G call ticket exists and a conclusion.
It should be noted that although several modules of the apparatus for automatically diagnosing a VPDN service failure of the internet of things are mentioned in the above detailed description, such division is merely exemplary and not mandatory. Indeed, the features and functionality of two or more of the modules described above may be embodied in one module according to embodiments of the invention. Conversely, the features and functions of one module described above may be further divided into embodiments by a plurality of modules.
Based on the aforementioned inventive concept, as shown in fig. 3, the present invention further provides a computer device 200, which includes a memory 210, a processor 220, and a computer program 230 stored on the memory 210 and operable on the processor 220, wherein the processor 220 implements the aforementioned method for automatically diagnosing the VPDN service failure of the internet of things when executing the computer program 230.
Based on the above inventive concept, the present invention also provides a computer-readable storage medium storing a computer program for executing the method for automatically diagnosing the VPDN service failure of the internet of things.
The method and the device for automatically diagnosing the VPDN service fault of the Internet of things provided by the invention have the advantages that the network element information required to be inquired by VPDN service fault processing, such as the user state (network), the 3GAAA signing state, the 4GAAA signing state, the secondary AAA use state of the Internet of things company, the LNS configuration state of the VPDNAA, the VPDNAA signing state, the last authentication log result of the 4GAAA, the last 4G authentication log result of the VPDNAA, the 4G call ticket, the last authentication log result of the 3GAAA, the last authentication log result of the VPDNAA 3G and the existence of the 3G call ticket are combined with a VPDN service fault diagnosis model to automatically diagnose, so that all information required by fault analysis is inquired by one key only by inputting the fault number of a user, the prejudgment result of the fault is output at the same time, and the guide conclusion of the fault analysis.
The above-mentioned English names and abbreviations are as follows in Table 4:
TABLE 4
Figure BDA0002838092390000661
While the spirit and principles of the invention have been described with reference to several particular embodiments, it is to be understood that the invention is not limited to the disclosed embodiments, nor is the division of aspects, which is for convenience only as the features in such aspects may not be combined to benefit. The invention is intended to cover various modifications and equivalent arrangements included within the spirit and scope of the appended claims.
The limitation of the protection scope of the present invention is understood by those skilled in the art, and various modifications or changes which can be made by those skilled in the art without inventive efforts based on the technical solution of the present invention are still within the protection scope of the present invention.

Claims (10)

1. A method for automatically diagnosing VPDN service faults of the Internet of things is characterized by comprising the following steps:
inputting an MDN, respectively inquiring the network opening state and the network using state of 2G, 3G and 4G of the MDN, and diagnosing and outputting the user state by combining the card type of the MDN number segment;
respectively inquiring the 3GAAA signing information, the 4GAAA signing information, the VPDN AAA signing information, the 3GAAA authentication log, the 4GAAA authentication log, the VPDN AAA authentication log, the 4G call ticket and the 3G call ticket, and diagnosing and outputting a service signing state and a service using state by combining the card type of the MDN number segment;
and outputting a final VPDN service fault diagnosis conclusion by combining the VPDN service fault diagnosis model according to the output user state, the service subscription state and the service use state.
2. The method for automatically diagnosing VPDN service faults of the Internet of things of claim 1, wherein the logic model for diagnosing the user state comprises: diagnostic items, diagnostic logic, and user states, wherein the diagnostic logic comprises: card status, 2G open status, 3G open status, 4G open status, 2G network status, 3G network status, and 4G network status.
3. The method for automatically diagnosing VPDN service faults of the Internet of things according to claim 1, wherein the diagnosis logic models of the service subscription state and the service use state comprise: service diagnosis items, query logic, judgment logic and service states.
4. The method for automatically diagnosing VPDN service faults of the Internet of things of claim 1, wherein the VPDN service fault diagnosis model comprises:
the method comprises the steps of user state judgment, judgment of whether to sign a VPDN on a 3GAAA, judgment of whether to sign a VPDN on a 4GAAA, whether to use a secondary AAA of an Internet of things company, whether to configure an LNS client on the VPDN AAA, whether to sign a domain name on the VPDN AAA, a 4GAAA last authentication log result, a VPDN 4G AAA last authentication log result, whether a 4G call ticket exists, a 3GAAA last authentication log result, a VPDN 3G AAA last authentication log result, whether a3G call ticket exists and a conclusion.
5. A device for automatically diagnosing VPDN service fault of the Internet of things is characterized by comprising:
the user state diagnosis module is used for inputting the MDN, respectively inquiring the network opening state and the network using state of 2G, 3G and 4G of the MDN, and diagnosing and outputting the user state by combining the card type of the MDN number segment;
the service state diagnosis module is used for respectively inquiring the 3GAAA subscription information, the 4GAAA subscription information, the VPDN AAA subscription information, the 3GAAA authentication log, the 4GAAA authentication log, the VPDN AAA authentication log, the 4G call ticket and the 3G call ticket, and diagnosing and outputting a service subscription state and a service use state by combining the card type of the MDN number section;
and the VPDN service fault diagnosis module is used for outputting a final VPDN service fault diagnosis conclusion according to the output user state, the service signing state and the service using state by combining the VPDN service fault diagnosis model.
6. The apparatus for automatically diagnosing VPDN service failure of the Internet of things of claim 5, wherein the logic model for diagnosing the user status comprises: diagnostic items, diagnostic logic, and user states, wherein the diagnostic logic comprises: card status, 2G open status, 3G open status, 4G open status, 2G network status, 3G network status, and 4G network status.
7. The apparatus for automatically diagnosing VPDN service faults of the internet of things according to claim 5, wherein the diagnosis logic models of the service subscription state and the service use state comprise: service diagnosis items, query logic, judgment logic and service states.
8. The apparatus for automatically diagnosing VPDN service failure of the Internet of things of claim 5, wherein the VPDN service failure diagnosis model comprises:
the method comprises the steps of user state judgment, judgment of whether to sign a VPDN on a 3GAAA, judgment of whether to sign a VPDN on a 4GAAA, whether to use a secondary AAA of an Internet of things company, whether to configure an LNS client on the VPDN AAA, whether to sign a domain name on the VPDN AAA, a 4GAAA last authentication log result, a VPDN 4G AAA last authentication log result, whether a 4G call ticket exists, a 3GAAA last authentication log result, a VPDN 3G AAA last authentication log result, whether a3G call ticket exists and a conclusion.
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 of claims 1-4 when executing the computer program.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program for executing the method of any one of claims 1-4.
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Application publication date: 20210416