CN111263349B - Automatic diagnosis and recovery method and system for abnormal session of wireless networking equipment - Google Patents
Automatic diagnosis and recovery method and system for abnormal session of wireless networking equipment Download PDFInfo
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- CN111263349B CN111263349B CN201911271725.3A CN201911271725A CN111263349B CN 111263349 B CN111263349 B CN 111263349B CN 201911271725 A CN201911271725 A CN 201911271725A CN 111263349 B CN111263349 B CN 111263349B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W8/00—Network data management
- H04W8/18—Processing of user or subscriber data, e.g. subscribed services, user preferences or user profiles; Transfer of user or subscriber data
- H04W8/183—Processing at user equipment or user record carrier
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W60/00—Affiliation to network, e.g. registration; Terminating affiliation with the network, e.g. de-registration
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W76/00—Connection management
- H04W76/10—Connection setup
- H04W76/19—Connection re-establishment
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- Computer Networks & Wireless Communication (AREA)
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Abstract
The embodiment of the invention discloses a method and a system for automatically diagnosing and recovering abnormal session of wireless networking equipment, wherein the method comprises the following steps: after receiving shutdown push data sent by an operator, judging whether a traffic card of the wireless networking equipment is normally shut down, wherein the normal shut down comprises insufficient traffic, expiration of service, card information with a revocation flag, and a card activation event which has an artificial shutdown flag and occurs within the current time from the artificial shutdown event; if the traffic card is not normally stopped, extracting the latest first preset number of sessions in traffic details of the traffic card, judging whether the data packet of at least a second preset number of sessions in the first preset number of sessions is 0KB or smaller than a preset size, and if so, judging that the traffic card sessions are abnormally stopped; and sending an activation request to an operator, activating the traffic card, and recovering surfing the Internet. The automatic diagnosis card realizes the on-line function of automatically diagnosing whether the card is stopped due to abnormal conversation and recovering the flow card.
Description
Technical Field
The invention relates to the field of communication of the Internet of things, in particular to a method and a system for automatically diagnosing and recovering a wireless networking device in abnormal session.
Background
With the development of science and technology and the popularization of the internet of things, the wireless internet surfing scene is more and more widely applied by installing a traffic card by using an intelligent terminal, when the online state of wireless networking equipment is abnormal or the surrounding network environment is unstable, the abnormal situation of internet surfing session may occur, for example, the equipment is frequently uploaded and downloaded, the current state of the equipment is considered to be abnormal by an operator, and forced shutdown processing is performed. After analysis, the traffic card frequently uploads a data packet of 0KB or less than 10KB in a period of time, so that the device belongs to an abnormal online state, and an operator can perform shutdown processing on the device, but the stable internet access service of the device is seriously affected by the shutdown processing directly only due to the session abnormality.
Accordingly, there is a need for further improvements and improvements in the prior art.
Disclosure of Invention
In view of the above technical problems, embodiments of the present invention provide an automatic diagnosis and recovery method and system for a wireless networking device when a session is abnormal, so as to implement an on-line function of automatically diagnosing whether a card is stopped and recovering a traffic card due to the abnormal session.
The first aspect of the embodiments of the present invention provides a method for automatically diagnosing and recovering a session exception of a wireless networking device, including the steps of:
after receiving shutdown push data sent by an operator, judging whether a traffic card of the wireless networking equipment is normally shut down, wherein the normal shut down comprises insufficient traffic, expiration of service, card information with a revocation flag, and a card activation event which has an artificial shutdown flag and occurs within the current time from the artificial shutdown event;
if the traffic card is not normally stopped, extracting the latest first preset stroke number session in traffic details of the traffic card, and judging whether the data packet of at least a second preset stroke number session in the first preset stroke number session is 0KB or smaller than a preset size, if so, judging that the traffic card session is abnormally stopped;
and sending an activation request to an operator, activating the traffic card, and recovering the Internet.
Optionally, the first predetermined number of strokes is 20, the second predetermined number of strokes is 10, and the predetermined size is 10 KB.
Optionally, before determining whether the traffic card of the wireless networking device is normally down, the method further includes: and establishing an http push channel of a traffic card shutdown event with an operator background.
Optionally, before determining whether the traffic card of the wireless networking device is normally shut down, the method further includes: and after receiving shutdown push data sent by an operator, dropping the shutdown push data packet into a kafka queue, and entering queuing for processing.
Optionally, the step of dropping the shutdown pushed packet into the kafka queue includes: and deploying a plurality of service nodes to process the session exception, setting the kafka queue on each service node to have a load balancing and data forwarding function, and implementing master-slave backup of the service of the kafka queue.
Optionally, the flow card of the wireless networking device is tested through the test card to determine whether the flow card is normally stopped, a program log is generated, and whether the session abnormality of the wireless networking device is correct or not is determined through the program log to diagnose and recover.
A second aspect of the embodiments of the present invention provides an automatic diagnosis and recovery system for abnormal sessions of wireless networking devices, where the system includes: the shutdown event push module is used for receiving shutdown push data sent by an operator; the system comprises a shutdown diagnosis module, a wireless networking device and a wireless network interface module, wherein the shutdown diagnosis module is used for judging whether a flow card of the wireless networking device is abnormally shut down or not, the normal shutdown comprises insufficient flow, service expiration, card information with a revocation mark and an artificial shutdown mark, and a card activation event occurs within the current time from the artificial shutdown event to the artificial shutdown event; the traffic card downlink module is used for picking up the latest first preset session number in traffic details of the traffic card when the shutdown diagnosis module judges that the traffic card is not normally shutdown, and sending an activation request to an operator when the session abnormal shutdown judgment module judges that the traffic card session is abnormally shutdown, activating the traffic card and recovering to surf the internet; and the session abnormal shutdown judging module is used for judging whether the size of the data packet of the first preset number of sessions is at least 0KB or smaller than the preset size of the data packet of the second preset number of sessions, and if so, judging that the traffic card session is abnormally shutdown.
Optionally, the system further comprises: and the push channel establishing module is used for establishing an http push channel of the traffic card shutdown event with the background of the operator.
Optionally, the system further comprises: and the logic judgment module is used for throwing the data packet subjected to shutdown pushing into the kafka queue and entering queuing waiting processing after the shutdown pushing data sent by the operator is received through the http pushing channel.
Optionally, the system further comprises: and the test module is used for testing whether the flow card of the wireless networking equipment is normally shut down or not through the test card, generating a program log, and judging whether the session abnormality of the wireless networking equipment is correct or not through the program log to diagnose and recover.
In the technical scheme provided by the embodiment of the invention, whether the traffic card is stopped due to abnormal conversation is judged by analyzing and processing the basic information and the traffic data packet of the traffic card, and the traffic card stopped due to abnormal conversation is activated to recover the online function. Therefore, compared with the prior art, the embodiment of the invention automatically diagnoses whether the card is stopped due to abnormal conversation and recovers the online function of the traffic card, and the implementation mode is simple and efficient.
Drawings
FIG. 1 is a flow chart of a method for automatic diagnosis and recovery of abnormal sessions of wireless networking devices in an embodiment of the present invention;
FIG. 2 is a schematic diagram of an embodiment of a flow card in an automatic diagnosis and recovery method when a session of a wireless networking device is abnormal according to the present invention;
FIG. 3 is a block diagram of an automatic diagnosis and recovery system for abnormal sessions of wireless networked devices in an embodiment of the present invention;
FIG. 4 is a diagram of a technical architecture of an automatic diagnosis and recovery system for abnormal sessions of wireless networking devices in an embodiment of the present invention;
fig. 5 is a diagram of a highly concurrent web microservice architecture for an automated diagnosis and recovery system in the event of a session anomaly for a wireless networked device in an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, an embodiment of a method for automatically diagnosing and recovering a session anomaly of a wireless networking device according to an embodiment of the present invention includes the steps of:
And S1, after receiving shutdown push data sent by an operator, judging whether a traffic card of the wireless networking equipment is normally shut down, wherein the normal shut down comprises insufficient traffic, service expiration, a card information invalidation mark and a card activation event which is marked by a manual shut down and occurs within the current time of the manual shut down event.
Before receiving shutdown push data sent by an operator, an http push channel of a traffic card shutdown event needs to be established with an operator background in advance, and the operator can send the shutdown push data of the traffic card through the http push channel when the traffic card is shutdown. The http push channel can realize an event protocol of the card shutdown service of the operator, and transmit effective card number information to the inside of the system. When the flow card is abnormally on-line and off-line, the operator can carry out shutdown processing on the flow card and trigger a shutdown pushing event.
After shutdown push data of an operator is received, a data packet for shutdown push is thrown into a Kafka queue and enters a queue for waiting processing, the Kafka queue is according to a first-in first-out rule, and in order to solve the problem that pressure processing caused by concurrency is not good, the embodiment requires that service logic services realize multi-node deployment, namely a plurality of service nodes are deployed to process session exception, the Kafka queue realizes load balancing data forwarding, and the queue services implement master-slave backup, so that the data security is ensured.
When judging whether the flow card of the wireless networking equipment is normally shut down, the system inquires basic information of the card according to the card number of the flow card, judges the current rule, judges whether the flow is insufficient, judges whether the service of the flow card is expired if the flow is not insufficient, judges whether the card information has a cancellation mark if the service of the flow card is not expired, judges whether the card information has an artificial shutdown mark if the card information does not have the cancellation mark, and judges whether the card information has an artificial shutdown mark if the card activation event does not occur within the time of operating the artificial shutdown until the current time, and judges that the flow card is abnormally shut down if the conditions are not met, and performs the step of judging the conversation abnormal shutdown in the next step.
In this embodiment, the above conditions must be satisfied to determine that the traffic card is abnormally stopped, and even if one of the conditions is satisfied, the traffic card is normally stopped. Of course, according to the shutdown rule of the operator, the above condition is a basic condition, and is not limited to the above condition, if the operator agrees a new normal shutdown rule, the normal shutdown of the traffic card may also be determined, and the step of determining the abnormal shutdown of the session does not need to be entered.
S2, if the traffic card is not normally stopped, picking up the latest first preset stroke number session in the traffic details of the traffic card, and judging whether the data packet of at least a second preset stroke number session in the first preset stroke number session is 0KB or smaller than a preset size, if yes, judging that the traffic card session is abnormally stopped.
In this embodiment, the first predetermined number of strokes is preferably 20, the second predetermined number of strokes is preferably 10, and the predetermined size is preferably 10 KB. That is, when the session abnormal halt determination is entered in the embodiment, the latest 20 sessions in the traffic card details are extracted, the packet sizes of the latest 20 sessions are determined, and if more than 10 sessions are all 0KB or less than 10KB, it can be determined that the traffic card is halted due to the session abnormality. By the method, whether the session abnormality exists in the flow card before the shutdown can be accurately judged.
As shown in the flow data of the flow card shown in fig. 2, it can be seen from the figure that the flow card has an abnormal phenomenon that a packet of the latest continuous 11 flows is less than 10KB, and includes 8 packets of 0KB, 1 packet of 2KB, 1 packet of 5KB and 1 packet of 6KB, and since the flow packet is unlikely to have a high probability of 0KB or less than 10KB in a normal session situation, and the flow card has 11 packets of flows less than 10KB, it can be basically determined that the shutdown of the flow card is caused by the abnormal session.
Of course, in the embodiment, the first predetermined number of times is 20, the second predetermined number of times is 10, and the predetermined size is 10KB, which are only used for explaining whether the traffic card has a session anomaly or not by picking up the traffic data packet with the last predetermined number of times and determining whether the traffic card has a session anomaly according to the size of the traffic data packet, and the number is not limited, and may be changed according to actual situations to adjust the flexibility of the automatic diagnosis. For example, in the case of a small flow rate required for drawing a part of wireless networking devices, the value of the predetermined size of the data packet can be appropriately reduced.
And S3, sending an activation request to an operator, activating the traffic card, and recovering to surf the internet.
In this embodiment, if it is determined that the traffic card is stopped due to a session anomaly, an activation request for the traffic card is sent to the operator, the traffic card is activated, and the internet access function of the traffic card is restored.
Certainly, in the automatic diagnosis and recovery process, because the problem of the session anomaly is not easy to recur, certain difficulty is brought to the test, and in order to achieve the detection accuracy, the embodiment also can test whether the flow card of the wireless networking device is normally shut down through the test card, generate a program log, and judge whether the session anomaly of the wireless networking device is correctly diagnosed and recovered through the program log.
Based on the above automatic diagnosis and recovery method, an embodiment of the present invention further provides an automatic diagnosis and recovery system when a session of a wireless networking device is abnormal, as shown in fig. 3, the system includes:
the shutdown event push module 10 is configured to receive shutdown push data sent by an operator;
the shutdown diagnosis module 20 is configured to determine whether a traffic card of the wireless networking device is abnormally shutdown, where the normal shutdown includes insufficient traffic, expiration of service, card information with a revocation flag, and a card activation event occurring within the current time after a manual shutdown flag and a manual shutdown event;
The traffic card downlink module 30 is configured to, if the shutdown diagnosis module 20 determines that the traffic card is not shutdown normally, pick up a latest first predetermined session of the traffic details of the traffic card, and send an activation request to an operator when the session abnormal shutdown determination module 40 determines that the session of the traffic card is shutdown abnormally, activate the traffic card, and resume surfing the internet.
A session abnormal shutdown determination module 40, configured to determine whether the size of the packet of the first session with the predetermined number of times is at least 0KB or smaller than a predetermined size, and if so, determine that the traffic card session is abnormally shutdown.
As shown in fig. 4, the system further includes: and a push channel establishing module 50, configured to establish an http push channel of a traffic card shutdown event with an operator background. And the logic judgment module 60 is configured to, after receiving shutdown push data sent by an operator through the http push channel, drop a data packet for shutdown push into the kafka queue, and enter queuing for processing. And a test module 70, configured to test whether the traffic card of the wireless networking device is normally shut down through the test card, generate a program log, and determine whether the session abnormality of the wireless networking device is correct through the program log to diagnose and recover.
As shown in fig. 5, the system adopts a highly concurrent web micro-service architecture, firstly, http connection is established with an operator system, a strict verification mechanism is implemented in both a gateway layer and a service layer, multi-node deployment is implemented in the aspect of service deployment, a cluster mode is used for a database and a cache, high concurrency pressure in a traffic peak period is responded, master-slave backup is implemented simultaneously, when a main server goes down, the main server is automatically switched to a standby server to be on-line, and service stability and data security are ensured. The system realizes automatic diagnosis and recovery when the conversation of the wireless internet equipment is abnormal through the processes of data cleaning service, basic data query, flow data call, service logic diagnosis, internet-surfing service recovery and the like.
In summary, the method and system for automatically diagnosing and recovering a session of a wireless networking device in case of abnormal session provided in the embodiments of the present invention analyze and process basic information and a traffic data packet of a traffic card, determine whether the traffic card is stopped due to the abnormal session, activate the traffic card stopped due to the abnormal session, and recover an online function thereof. Therefore, the embodiment of the invention automatically diagnoses whether the card is stopped due to abnormal conversation and recovers the online function of the traffic card, and the implementation mode is simple and efficient.
The above examples are only intended to illustrate the technical solution of the present invention, and not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. A method for automatically diagnosing and recovering when a session of a wireless networking device is abnormal, comprising the steps of:
after receiving shutdown push data sent by an operator, judging whether a traffic card of the wireless networking equipment is normally shut down or not, wherein the normal shut down comprises insufficient traffic, expiration of service, invalidation mark of card information and card activation event occurrence within the current time after the card information has the manual shut down mark and the manual shut down event;
if the traffic card is not normally stopped, extracting the latest first preset stroke number session in traffic details of the traffic card, and judging whether the data packet of at least a second preset stroke number session in the first preset stroke number session is 0KB or smaller than a preset size, if so, judging that the traffic card session is abnormally stopped;
And sending an activation request to an operator, activating the traffic card, and recovering the Internet.
2. The method for automatic diagnosis and recovery from session anomaly of wireless networking device according to claim 1, wherein said first predetermined number of strokes is 20, said second predetermined number of strokes is 10, and said predetermined size is 10 KB.
3. The method for automatically diagnosing and recovering when a session of a wireless networking device is abnormal according to claim 1, wherein before the step of determining whether a traffic card of the wireless networking device is normally down, the method further comprises the steps of: and establishing an http push channel of a traffic card shutdown event with an operator background.
4. The method for automatically diagnosing and recovering when session of wireless networking device is abnormal according to claim 3, wherein before determining whether the traffic card of the wireless networking device is normally down, the method further comprises the steps of: and after receiving shutdown push data sent by an operator, dropping the shutdown push data packet into a kafka queue to enter queuing waiting for processing.
5. The method for automatic diagnosis and recovery when session exception of wireless networking device of claim 4, wherein the step of dropping the data packet of the shutdown push into the kafka queue comprises: and deploying a plurality of service nodes to process the session exception, setting the kafka queue on each service node to have a load balancing data forwarding function, and implementing master-slave backup of the service of the kafka queue.
6. The method for automatically diagnosing and recovering when the session of the wireless networking device is abnormal according to claim 1, wherein a test card is used for testing whether a traffic card of the wireless networking device is normally stopped or not, a program log is generated, and the program log is used for judging whether the session of the wireless networking device is abnormal or not and performing diagnosis and recovery.
7. An automatic diagnosis and recovery system when a wireless networking device session is abnormal, the system comprising:
the shutdown event push module is used for receiving shutdown push data sent by an operator;
the system comprises a shutdown diagnosis module, a wireless networking device and a wireless network interface module, wherein the shutdown diagnosis module is used for judging whether a flow card of the wireless networking device is abnormally shut down or not, and the normal shutdown comprises insufficient flow, service expiration, card information with a invalidation mark and a card activation event which is provided with an artificial shutdown mark and occurs within the current time of the artificial shutdown event;
the traffic card downlink module is used for picking up the latest first preset session number in traffic details of the traffic card when the shutdown diagnosis module judges that the traffic card is not normally shutdown, and sending an activation request to an operator when the session abnormal shutdown judgment module judges that the traffic card session is abnormally shutdown, activating the traffic card and recovering to surf the internet;
And the session abnormal shutdown judging module is used for judging whether the size of the data packet of the first predetermined stroke number session is 0KB or smaller than a predetermined size, and if so, judging that the flow card session is abnormally shut down.
8. The system of claim 7, further comprising: and the push channel establishing module is used for establishing an http push channel of the traffic card shutdown event with the background of the operator.
9. The system for automatic diagnosis and recovery upon session anomaly of wireless networked devices of claim 8, further comprising: and the logic judgment module is used for throwing the data packet subjected to shutdown pushing into the kafka queue and entering queuing waiting processing after the shutdown pushing data sent by the operator is received through the http pushing channel.
10. The system of claim 7, further comprising: and the test module is used for testing whether the flow card of the wireless networking equipment is normally shut down through the test card, generating a program log, and judging whether the session abnormity of the wireless internet equipment is correct through the program log to diagnose and recover.
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