CN114710528B - Cabin network abnormal state real-time monitoring method - Google Patents
Cabin network abnormal state real-time monitoring method Download PDFInfo
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- CN114710528B CN114710528B CN202210300483.1A CN202210300483A CN114710528B CN 114710528 B CN114710528 B CN 114710528B CN 202210300483 A CN202210300483 A CN 202210300483A CN 114710528 B CN114710528 B CN 114710528B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/06—Management of faults, events, alarms or notifications
- H04L41/0631—Management of faults, events, alarms or notifications using root cause analysis; using analysis of correlation between notifications, alarms or events based on decision criteria, e.g. hierarchy, tree or time analysis
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/10—Active monitoring, e.g. heartbeat, ping or trace-route
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Abstract
The invention discloses a cabin network connection abnormal state real-time monitoring method, which comprises the steps of 1) arranging a vehicle-to-machine network connection state embedded point module at a vehicle-to-machine end in advance to acquire network connection state embedded point data; 2) The collected networking state embedded point data, interface call and heartbeat message data are uploaded to a cloud; 3) The cloud forwards the related data to the Internet of vehicles platform through a message queue Kafka; 4) The vehicle networking platform analyzes the received data and identifies and classifies abnormal states; 5) If the network connection is abnormal, an abnormal alarm prompt is sent out and an abnormal state class is given; the vehicle-computer networking state embedded point module is used for basic network platform level monitoring; the interface call and heartbeat messages are used for application level network monitoring. The invention can monitor the networking state of the vehicle-mounted terminal in real time, and can timely pre-alarm the networking fault of the vehicle-mounted equipment when abnormal conditions occur.
Description
Technical Field
The invention relates to an intelligent network connection automobile technology, in particular to a cabin network connection abnormal state real-time monitoring method, and belongs to the technical field of automobile network connection.
Background
With the development of internet intelligent automobiles, a plurality of applications are widely installed on automobiles, and cabin networking functions are widely popularized. By means of the mobile communication technology, the intelligent mobile vehicle-mounted information service can provide rich vehicle-mounted application and excellent networking driving experience for vehicle owners, and meets the requirements of intelligent voice control of the vehicle owners. The vehicle owners can conveniently and quickly use massive data application, and can smoothly share online entertainment in real time, such as road condition live-action images, high-definition video calls and the like, so that rich vehicle life is created. The real-time diagnosis can ensure the safe trip of the vehicle, and the remote automatic diagnosis and the vehicle protection of the vehicle state are realized by remotely collecting the vehicle condition and the state information of various vehicle systems in real time, so that the road rescue is contacted in time. Through accurate positioning, traffic jam can be reasonably avoided for vehicle owners, and intelligent navigation is realized.
Good cabin network connection status is critical to the vehicle enterprise. In order to ensure the on-line service of the vehicle, the vehicle enterprise needs to manage the networking state of the automobile cabin in a full life cycle, repeatedly test the networking function of the terminal before delivery to ensure the quality, ensure the normal and stable networking state of the vehicle after delivery, and improve the loyalty of users through high-quality networking service.
In the related art, publication number isCN111581037AThe Chinese patent of the invention discloses a vehicle networking detection system and a method, and in the patent, a detection method for detecting whether abnormality exists in the vehicle networking function after the pre-detection vehicle is off-line is provided, and the detection platform can replace manual detection before leaving the factory after the vehicle is off-line. However, this method cannot continuously monitor the networking state of the vehicle.
The real-time monitoring of the networking state of the terminal of the car machine and the networking failure of the equipment of the car machine are timely and early-warning, and the method has important significance for optimizing and improving the network service capacity of the cabin.
Disclosure of Invention
Aiming at the defects existing in the prior art, the invention aims to provide a cabin networking abnormal state real-time monitoring method which can monitor the networking state of a vehicle-mounted terminal in real time and timely pre-warn the networking failure of the vehicle-mounted equipment when the abnormal situation occurs.
The technical scheme of the invention is realized as follows:
a cabin network abnormal state real-time monitoring method, which comprises the following steps,
1) The method comprises the steps that a vehicle-to-machine networking state point burying module is arranged at a vehicle-to-machine end in advance to collect networking state point burying data;
2) The collected networking state embedded point data, interface call and heartbeat message data are uploaded to a cloud;
3) The cloud forwards the related data to the Internet of vehicles platform through a message queue Kafka;
4) The vehicle networking platform analyzes the received data and identifies and classifies abnormal states;
5) If the network connection is abnormal, an abnormal alarm prompt is sent out and an abnormal state class is given; the vehicle-computer networking state embedded point module is used for basic network platform level monitoring; the interface call and heartbeat messages are used for application level network monitoring.
In step 5), the abnormal state categories include basic network platform level networking anomalies and application level networking anomalies; wherein the basic network platform level networking anomalies include a resident network anomaly and an APN configuration anomaly; the application tandem network anomalies include HU network anomalies and TBOX network anomalies.
In step 4), the internet of vehicles platform performs a flink flow processing analysis on the received data through a flow processing rule judging module. Specifically, when the link stream is processed, the link stream processing method further relates to vehicle basic information, time window information and alarm rule information besides relevant data transmitted from the cloud, event aggregation and processing are carried out in a preset time window through the link stream processing, the abnormal state of the vehicle-to-machine networking is identified and recorded through the transmitted alarm rule, and abnormal state monitoring alarm is carried out according to the monitoring alarm rule.
When the basic network platform level is monitored, the invention monitors and collects the basic networking state through the vehicle-machine networking state embedded point module; when the uploading rule is met, the vehicle-to-machine interface is accessed, and the embedded point log is uploaded to the vehicle networking platform through the cloud according to the embedded point rule.
The uploading rules comprise periodic uploading rules and change uploading rules; the buried point log is uploaded when any rule of the periodic uploading rule and the change uploading rule is met. The periodic uploading rule is that when the signal intensity is more than 0 grid and the network residence state is more than or equal to 4G, 1 buried point index is acquired every 1 minute; the change uploading rule refers to uploading immediately when the resident network state changes from other states to 4G or the signal strength changes from 0 to more than 0.
When the application-level network is monitored, the server and the vehicle-mounted terminal are interacted in a long connection mode, after the connection is established between the vehicle-mounted terminal and the server, the connection is maintained by the vehicle-mounted terminal at regular heartbeat, and after the vehicle-mounted terminal detects that the connection is disconnected, the connection is immediately restarted; if the connection fails, retry is performed every set time.
Specifically, after detecting a vehicle ignition event on the same day 00:00-24:00, if no connection event of the HU is monitored for a set time, marking as abnormal HU network; and if the Tbox heartbeat data is not monitored within a set time after the connection event of the HU is detected on the same day 00:00-24:00, marking as Tbox network abnormality.
Compared with the prior art, the invention has the following beneficial effects:
the invention collects the key index of the networking state and alarms the abnormal state; based on the stream processing rule judging module, the data and voice network residence state is judged, the buried point vehicles are continuously monitored, the directional analysis is carried out aiming at the vehicles with frequent alarms, the network problem is discovered, the networking performance is optimized, and the user experience is improved.
Drawings
Fig. 1 is a diagram showing a construction of a method for monitoring a cabin network abnormal state in real time.
Fig. 2 is a flowchart of the acquisition of the cabin networking state buried point module of the present invention.
FIG. 3 is a flow chart of a flow processing rule determination module according to the present invention.
Detailed Description
Specific embodiments of the present invention are described in detail below with reference to the accompanying drawings.
The invention relates to a cabin network abnormal state real-time monitoring method, which comprises the following steps,
1) The method comprises the steps that a vehicle-to-machine networking state point burying module is arranged at a vehicle-to-machine end in advance to collect networking state point burying data;
2) The collected networking state embedded point data, interface call and heartbeat message data are uploaded to a cloud;
3) The cloud forwards the related data to the Internet of vehicles platform through a message queue Kafka;
4) The vehicle networking platform analyzes the received data and identifies and classifies abnormal states;
5) If the network connection is abnormal, an abnormal alarm prompt is sent out and an abnormal state class is given; the vehicle-computer networking state embedded point module is used for basic network platform level monitoring; the interface call and heartbeat messages are used for application level network monitoring.
The cabin networking abnormal state real-time monitoring comprises basic network platform level monitoring and application level network monitoring, wherein the basic network platform level monitoring is mainly realized based on a vehicle-to-machine networking state embedded point module and assisted by a stream processing rule judging module, and the application level network monitoring is realized based on interface calling and heartbeat messages and assisted by the stream processing rule judging module. Basic network platform level monitoring includes monitoring to implement the underlying network resident state and apn configuration, application level network monitoring to implement application level network monitoring (including 4Gapp and core interface services), the architecture of which is seen in fig. 1.
And for the basic network platform level monitoring, monitoring and collecting the basic networking state through the vehicle-to-machine networking state embedded point module. The embedded point service can perform timing polling, judge whether indexes such as a bottom layer resident network state and apn configuration meet uploading conditions, access a vehicle-to-machine interface when the uploading conditions are met, and upload the embedded point log to the vehicle networking platform according to embedded point specifications.
And the embedded point data of the networking monitoring index are uploaded to the cloud in real time, and the cloud signal is forwarded through a message queue Kafka. The flow processing rule judging module is used for carrying out real-time monitoring on networking abnormality and relying on the flink flow processing, and the drools rule engine is used for carrying out networking abnormality judgment and category division on uploading buried point signals of a certain time window according to a preset monitoring alarm rule, so that basic network platform-level networking state monitoring is realized. FIG. 3 is a flow chart of a flow processing rule determination module according to the present invention.
The vehicle-mounted networking state embedded point module is connected with the vehicle-mounted networking state embedded point service, and the vehicle-mounted operating system and the vehicle networking platform can monitor and collect basic networking state indexes and upload networking state embedded point logs.
And starting an operating system after the vehicle is electrified, and starting the vehicle-to-machine networking state embedded point service through system scheduling. On the one hand, whether the embedded point log in the networking state of the vehicle-mounted device meets uploading conditions is judged through timing polling, if yes, the embedded point log which is not uploaded is read, the vehicle-mounted device interface is accessed, the networking state embedded point log is uploaded to the cloud end through the embedded point interface in json format, and the embedded point log is received and stored by the vehicle networking platform. On the other hand, the embedded point service starts a networking state monitoring task, when networking state change is detected, a networking state change notification is broadcast, an embedded point log of the networking state change is recorded, and the networking state is transmitted to the cloud.
Specifically, the embedded point log uploading is uploaded when any condition of periodic uploading and change uploading is met, the periodic uploading is that when the signal intensity is more than 0 grid and the network-resident state is more than or equal to 4G, 1 embedded point index is collected every 1 minute, and the change uploading is that when the network-resident state is changed from other states to 4G or the signal intensity is changed from 0 to more than 0, the signal intensity is immediately uploaded. Fig. 2 is a flowchart of the acquisition of the cabin networking state buried point module of the present invention. The invention realizes the monitoring of the bottom layer network residence state and apn configuration by the basic network platform level monitoring, and mainly collects the voice network residence, the data network residence, the bottom layer apn configuration and the bottom layer ping hundred degree state.
And uploading the buried point data of the networking monitoring index to the cloud in real time through the rule, and transmitting the continuously uploaded data to the kafka message queue for forwarding after the cloud receives the continuously uploaded data. And aggregating and processing events in a preset time window through the link flow processing, identifying and recording the abnormal state of the Internet of vehicles by using the incoming rule, and monitoring and alarming the abnormal state according to the monitoring and alarming rule.
The monitoring alarm rule real-time judging module classifies networking abnormality according to the uploading buried point signal, and marks the networking abnormality when the data network is not normal or the voice network is not normal, and the alarm degree is basic network platform level abnormality alarm.
The APN configuration of the terminal is issued by the cloud platform, after each connection with the platform, the THU pulls the latest APN configuration by calling an interface, and is used for next dialing, and whether the wrong APN configuration is issued can be found through an APN configuration embedding point. The APN configuration of the mobile sim card and the connected sim card are different, if the APN is used in error, the dialing is not successful, and the natural PDN cannot be established. The card operator corresponding to the terminal is obtained through the equipment ID, according to different operators, when the operators are mobile, the configuration of the bottom layer APN is judged, and when APN1 configuration non-CMIOT, APN2 configuration is not standard APN configuration information, APN configuration abnormality is marked; if the card operator is the UNICOM, the judgment standard is: APN1 is not standard APN configuration information or APN is not standard APN configuration information triggers an underlying network platform level exception alert.
The application level network monitoring is mainly monitored through interface calling and heartbeat messages. The server and the vehicle terminal are interacted in a long connection mode, after the vehicle terminal and the server are connected, the connection is maintained by the vehicle terminal at regular heartbeat, and after the vehicle terminal detects that the connection is disconnected, the connection is immediately restarted. If the connection is established, retry is performed every 10 seconds. The abnormal condition of the networking state can be monitored by using interface calling and heartbeat message data frequency, and the abnormal monitoring alarm of the application-level networking state can be triggered when a certain rule is met.
When the specific abnormality category is determined, checking a vehicle ignition event on the same day 00:00-24:00, and marking the abnormal HU network if no connection (any interface call) event of the HU is monitored in the following hour. And if the Tbox heartbeat data is not monitored within one hour after the connection (any interface call) event of the HU is detected on the same day 00:00-24:00, marking as Tbox network abnormality, and triggering an application-level network monitoring alarm.
The invention collects the key index of the networking state and alarms the abnormal state; based on the stream processing rule judging module, the data and voice network residence state is judged, the buried point vehicles are continuously monitored, the directional analysis is carried out aiming at the vehicles with frequent alarms, the network problem is discovered, the networking performance is optimized, and the user experience is improved.
Finally, it should be noted that the above examples of the present invention are merely illustrative of the present invention and are not limiting of the embodiments of the present invention. While the invention has been described in detail with reference to the preferred embodiments, it will be apparent to one skilled in the art that various other changes and modifications can be made therein. Not all embodiments are exhaustive. Obvious changes and modifications which are extended by the technical proposal of the invention are still within the protection scope of the invention.
Claims (5)
1. A cabin network abnormal state real-time monitoring method is characterized in that: the steps are as follows,
1) The method comprises the steps that a vehicle-to-machine networking state point burying module is arranged at a vehicle-to-machine end in advance to collect networking state point burying data;
2) The collected networking state embedded point data, interface call and heartbeat message data are uploaded to a cloud;
3) The cloud forwards the related data to the Internet of vehicles platform through a message queue Kafka;
4) The vehicle networking platform analyzes the received data and identifies and classifies abnormal states;
5) If the network connection is abnormal, an abnormal alarm prompt is sent out and an abnormal state class is given; the vehicle-computer networking state embedded point module is used for basic network platform level monitoring; the interface call and heartbeat message are used for monitoring the application level network;
in step 5), the abnormal state category comprises basic network platform level networking abnormality and application level networking abnormality; wherein the basic network platform level networking anomalies include a resident network anomaly and an APN configuration anomaly; the application cascade network anomalies include HU network anomalies and TBOX network anomalies;
for basic network platform level monitoring, monitoring and collecting basic networking states through a vehicle-to-machine networking state embedded point module; when the uploading rule is met, accessing a vehicle-to-machine interface, and uploading the embedded point log to a vehicle networking platform through a cloud according to the embedded point rule;
when the application-level network is monitored, the server and the vehicle-mounted terminal are interacted in a long connection mode, after the connection is established between the vehicle-mounted terminal and the server, the connection is maintained by the vehicle-mounted terminal at regular heartbeat, and after the vehicle-mounted terminal detects that the connection is disconnected, the connection is immediately restarted; if the connection fails, retrying every set time;
after checking the ignition event of the vehicle on the same day 00:00-24:00, if the connection event of the HU is not monitored after the set time, marking the connection event as the abnormality of the HU network; and if the Tbox heartbeat data is not monitored within a set time after the connection event of the HU is detected on the same day 00:00-24:00, marking as Tbox network abnormality.
2. The cabin internet connection abnormal state real-time monitoring method according to claim 1, wherein the method comprises the following steps: in the step 4), the internet of vehicles platform performs a flink stream processing analysis on the received data through a stream processing rule judging module.
3. The cabin internet connection abnormal state real-time monitoring method according to claim 2, wherein the method comprises the following steps: when the link stream is processed, the link stream processing method further relates to vehicle basic information, time window information and alarm rule information besides relevant data transmitted from the cloud, event aggregation and processing are carried out in a preset time window through the link stream processing, the abnormal state of the internet of vehicles is identified and recorded through the transmitted alarm rule, and abnormal state monitoring alarm is carried out according to the monitoring alarm rule.
4. The cabin internet connection abnormal state real-time monitoring method according to claim 1, wherein the method comprises the following steps: the uploading rules comprise periodic uploading rules and change uploading rules; the buried point log is uploaded when any rule of the periodic uploading rule and the change uploading rule is met.
5. The cabin internet connection abnormal state real-time monitoring method according to claim 4, wherein the method comprises the following steps: the periodic uploading rule is that when the signal intensity is more than 0 grid and the network residence state is more than or equal to 4G, 1 buried point index is acquired every 1 minute; the change uploading rule refers to uploading immediately when the resident network state changes from other states to 4G or the signal strength changes from 0 to more than 0.
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