CN114710528A - Real-time monitoring method for abnormal state of cabin networking - Google Patents
Real-time monitoring method for abnormal state of cabin networking Download PDFInfo
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- CN114710528A CN114710528A CN202210300483.1A CN202210300483A CN114710528A CN 114710528 A CN114710528 A CN 114710528A CN 202210300483 A CN202210300483 A CN 202210300483A CN 114710528 A CN114710528 A CN 114710528A
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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
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Abstract
The invention discloses a real-time monitoring method for abnormal state of cabin networking, which comprises the following steps that 1) a vehicle networking state embedded point module is arranged at a vehicle end in advance to collect networking state embedded point data; 2) uploading the collected networking state buried point data, interface calling and heartbeat message data to a cloud end; 3) the cloud forwards the related data to the Internet of vehicles platform through the message queue Kafka; 4) the Internet of vehicles platform analyzes the received data and identifies and classifies abnormal states; 5) if the network connection is abnormal, sending an abnormal alarm prompt and giving an abnormal state category; the vehicle networking state embedded point module is used for basic network platform level monitoring; interface calls 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 warn the networking fault of the vehicle-mounted terminal when an abnormal condition occurs.
Description
Technical Field
The invention relates to an intelligent networking automobile technology, in particular to a real-time monitoring method for abnormal cabin networking states, and belongs to the technical field of automobile networking.
Background
With the development of internet intelligent automobiles, a lot of applications are widely installed on automobiles, and the cabin networking function is 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 a vehicle owner, and the requirement of intelligent voice control of the vehicle owner is met. The vehicle owner can conveniently and quickly use massive data application, can enjoy online entertainment in real time, such as road condition live-action images, high-definition video calls and the like, and creates and enriches vehicle life. 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 acquiring the vehicle condition and the state information of various vehicle systems in real time, and the vehicle is in contact with road rescue in time. Through accurate positioning, traffic jam can be reasonably avoided for the car owner, and intelligent navigation is realized.
Good cabin network connectivity status is critical to vehicle enterprises. In order to guarantee the online service of the vehicle, the vehicle enterprises need to carry out full life cycle management on the networking state of the vehicle cabin, the terminal networking function needs to be tested repeatedly before leaving the factory to guarantee the quality, the normal stability of the vehicle networking state needs to be guaranteed after leaving the factory, and the loyalty of users is improved through the high-quality networking service.
In the related art, publication number isCN111581037AThe invention discloses a vehicle networking detection system and method, and provides a detection method for detecting whether the networking function of a vehicle is abnormal after the vehicle is pre-detected to be offline. However, this method cannot continuously monitor the networking status of the car machine.
The car terminal networking state is monitored in real time, car device networking faults are warned in time, and the method has important significance in optimizing and improving the cabin network service capability.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide a real-time monitoring method for abnormal cabin networking states.
The technical scheme of the invention is realized as follows:
a real-time monitoring method for abnormal state of cabin networking comprises the following steps,
1) a vehicle networking state embedded point module is arranged at a vehicle end in advance to collect networking state embedded point data;
2) uploading the collected networking state buried point data, interface calling and heartbeat message data to a cloud end;
3) the cloud forwards the related data to the Internet of vehicles platform through the message queue Kafka;
4) the Internet of vehicles platform analyzes the received data and identifies and classifies abnormal states;
5) if the network connection is abnormal, sending an abnormal alarm prompt and giving an abnormal state category; the vehicle networking state embedded point module is used for basic network platform level monitoring; interface calls and heartbeat messages are used for application level network monitoring.
In step 5), the abnormal state category comprises a basic network platform level networking abnormity and an application level networking abnormity; the basic network platform level networking exception comprises a network residing exception and an APN configuration exception; application level networking exceptions include HU network exceptions and TBOX network exceptions.
In the step 4), the vehicle networking platform carries out flink stream processing analysis on the received data through the stream processing rule judging module. Specifically, when the flink stream is processed, besides relevant data transmitted from a cloud, vehicle basic information, time window information and alarm rule information are involved, events are aggregated and processed in a preset time window through flink stream processing, the abnormal state of the vehicle-mounted internet is identified and recorded by using an incoming alarm rule, and abnormal state monitoring alarm is performed according to a monitoring alarm rule.
When monitoring the basic network platform level, the invention monitors and collects the basic networking state through the vehicle networking state embedded point module; when the uploading rule is met, the vehicle machine interface is accessed, and the embedded point log is uploaded to the vehicle networking platform through the cloud end according to the embedded point standard.
The uploading rules comprise periodic uploading rules and change uploading rules; and uploading the buried point log 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 greater than 0 grid and the network-resident state is greater than or equal to 4G, 1-time buried point index is acquired every 1 minute; the change uploading rule means that when the network resident state changes from other states to 4G or the signal strength changes from 0 to more than 0, the uploading is immediately performed.
When monitoring an application level network, a long connection mode is adopted between a server and a vehicle end for interaction, after the connection is established between the vehicle end and the server, the connection is maintained by timing heartbeat of the vehicle end, and after the vehicle end detects that the connection is disconnected, the connection is immediately reinitiated; if the connection fails, the connection is retried at set time intervals.
Specifically, after the ignition event of the vehicle is checked on the same day from 00:00 to 24:00, if the connection event of the HU is not monitored after a set time, the HU network is marked as abnormal; and when Tbox heartbeat data is not monitored within a set time after the HU is detected within the same day of 00:00-24:00, marking the TBox network as abnormal.
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; the flow processing rule-based judgment module judges data and a voice network-residing state, continuously monitors vehicles at buried points, carries out directional analysis on frequently-alarming vehicles, explores network problems, optimizes networking performance and improves user experience.
Drawings
Fig. 1 is an architecture diagram of a real-time monitoring method for abnormal online states of a cockpit according to the present invention.
Fig. 2 is a flow chart of acquisition of a cockpit networking state buried point module according to the present invention.
FIG. 3 is a flow chart of a flow processing rule decision module according to the present invention.
Detailed Description
The following detailed description of specific embodiments of the invention refers to the accompanying drawings.
The invention relates to a real-time monitoring method for abnormal state of cabin networking, which comprises the following steps,
1) a vehicle networking state embedded point module is arranged at a vehicle end in advance to collect networking state embedded point data;
2) uploading the collected networking state buried point data, interface calling and heartbeat message data to a cloud end;
3) the cloud forwards the related data to the Internet of vehicles platform through the message queue Kafka;
4) the Internet of vehicles platform analyzes the received data and identifies and classifies abnormal states;
5) if the network connection is abnormal, sending an abnormal alarm prompt and giving an abnormal state category; the vehicle networking state embedded point module is used for basic network platform level monitoring; interface calls and heartbeat messages are used for application level network monitoring.
The real-time monitoring of the abnormal state of the cockpit networking comprises basic network platform level monitoring and application level network monitoring, wherein the basic network platform level monitoring is mainly realized on the basis of a vehicle networking state point burying module and assisted by a flow processing rule judging module, and the application level network monitoring is realized on the basis of interface calling and heartbeat messages and assisted by the flow processing rule judging module. The basic network platform level monitoring comprises monitoring for realizing the underlying network residence state and apn configuration, and the application level network monitoring realizes network monitoring for application level (comprising 4Gapp and core interface service), and the framework of the monitoring is shown in figure 1.
For basic network platform level monitoring, the basic networking state is monitored and collected through the vehicle networking state embedded point module. The embedded point service can perform timed polling, judge whether indexes such as the underlying network residing state and apn configuration meet uploading conditions, access a vehicle machine interface when the uploading conditions are met, and upload embedded point logs to a vehicle networking platform according to embedded point specifications.
And uploading the data of the embedded points of the networking monitoring indexes to a cloud end in real time, and forwarding a cloud end signal through a message queue Kafka. The flow processing rule judgment module monitors the networking abnormity in real time and depends on flink flow processing, and the drools rule engine judges and classifies the networking abnormity of uploading embedded point signals in a certain time window according to a preset monitoring alarm rule, so that the basic network platform level networking state monitoring is realized. FIG. 3 is a flow chart of a flow processing rule decision module according to the present invention.
The point-embedded module of the vehicle-machine networking state is connected with the point-embedded service of the vehicle-machine networking state, and the vehicle-machine operating system and the vehicle-machine networking platform can monitor and collect basic networking state indexes and upload networking state point-embedded logs.
And after the vehicle is powered on, the operating system is started, and the vehicle networking state embedded point service is started through system scheduling. On the one hand, whether the point log is buried in the networking state of the vehicle machine meets the uploading condition or not is judged through timed polling, the point log which is not uploaded is read after confirmation, the vehicle machine interface is accessed, the point data is buried in the networking state and uploaded to the cloud end in a json format through the point buried interface, and the point log is received and stored by the vehicle networking platform. And on the other hand, the embedded point service starts a networking state monitoring task, broadcasts a networking state change notification when the networking state change is detected, records a networking state change embedded point log, and transmits the networking state to the cloud.
Specifically, the uploading of the buried point logs is carried out when any condition of periodic uploading and change uploading is met, the periodic uploading is to collect the buried point indexes 1 time every 1 minute when the signal intensity is greater than 0 and the network residence state is greater than or equal to 4G, and the change uploading is to immediately upload when the network residence state is changed from other states to 4G or the signal intensity is changed from 0 to greater than 0. Fig. 2 is a flow chart of acquisition of a cockpit networking state buried point module according to the present invention. The basic network platform level monitoring of the invention realizes the monitoring of the bottom layer network residence state and apn configuration, and mainly collects the voice network residence, the data network residence, the bottom layer apn configuration and the bottom layer ping hectometer state.
And uploading the data of the embedded points of the networking monitoring indexes to the cloud end in real time through the rules, and after receiving the continuously uploaded data, transmitting the data to a kafka message queue for forwarding. Gathering and processing events in a preset time window through flink stream processing, identifying and recording abnormal states of the vehicle-machine networking by using the transmitted rules, and monitoring and alarming the abnormal states according to the monitoring and alarming rules.
The monitoring alarm rule real-time judgment module classifies the networking abnormity according to the uploading embedded point signal, and marks the networking abnormity when the data networking is not a normal value or the voice networking is not a normal value, and the belonged alarm degree is the basic network platform level abnormity alarm.
The APN configuration of the terminal is issued by the cloud platform, after the terminal is connected with the platform each time, the THU pulls the latest APN configuration through calling an interface and is used for dialing next time, and whether the wrong APN configuration is issued or not can be found through an APN configuration buried point. The APN configuration of the mobile sim card and the Unicom sim card are different, if the APN is used wrongly, dialing cannot be successful, and the natural PDN cannot be established. A card operator corresponding to the terminal is taken through the equipment ID, according to different operators, when the operators move, the configuration of the bottom layer APN is judged, and when APN1 configures non-CMIOT and APN2 configures non-standard APN configuration information, APN configuration abnormity is marked; if the card operator is connected, the judgment standard is as follows: APN1 or APN2 triggers an underlying network platform level exception alert when it is not standard APN configuration information.
The application level network monitoring is mainly monitored through interface calling and heartbeat messages. The server and the vehicle end are interacted in a long connection mode, the connection is maintained by timing heartbeat of the vehicle end after the connection of the vehicle end and the server is carried out, and the connection is immediately reinitiated after the vehicle end detects that the connection is disconnected. If the connection is failed to be established, the mobile terminal retries every 10 seconds. The abnormal condition of the networking state can be monitored by using interface calling and heartbeat message data frequency, and the monitoring alarm of the abnormal state of the application cascade network can be triggered when certain rules are met.
When the specific abnormal category is judged, a vehicle ignition event is detected on the same day from 00:00 to 24:00, and if a connection (any interface calling) event of the HU is not monitored in the next hour, the HU network is marked as abnormal. And when Tbox heartbeat data is not monitored within one hour after the HU connection (any interface calling) event is detected on the same day from 00:00 to 24:00, marking the TBox network as abnormal, and triggering an application-level network monitoring alarm.
The invention collects the key index of the networking state and alarms the abnormal state; the flow processing rule-based judgment module judges data and a voice network-residing state, continuously monitors vehicles at buried points, carries out directional analysis on frequently-alarming vehicles, explores network problems, optimizes networking performance and improves user experience.
Finally, it should be noted that the above-mentioned examples of the present invention are only examples for illustrating the present invention, and are not intended to limit the embodiments of the present invention. Although the present invention has been described in detail with reference to preferred embodiments, it will be apparent to those skilled in the art that other variations and modifications can be made based on the above description. Not all embodiments are exhaustive. All obvious changes and modifications of the present invention are within the scope of the present invention.
Claims (9)
1. A real-time monitoring method for abnormal online states of a cabin is characterized by comprising the following steps: the steps are as follows,
1) a vehicle networking state embedded point module is arranged at a vehicle end in advance to collect networking state embedded point data;
2) uploading the collected networking state buried point data, interface calling and heartbeat message data to a cloud end;
3) the cloud forwards the related data to the Internet of vehicles platform through the message queue Kafka;
4) the Internet of vehicles platform analyzes the received data and identifies and classifies abnormal states;
5) if the network connection is abnormal, sending an abnormal alarm prompt and giving an abnormal state category; the vehicle networking state embedded point module is used for basic network platform level monitoring; interface calls and heartbeat messages are used for application level network monitoring.
2. The real-time monitoring method for the abnormal state of the cabin networking according to claim 1, characterized in that: in step 5), the abnormal state types comprise basic network platform level networking abnormity and application level networking abnormity; the basic network platform level networking exception comprises a network residing exception and an APN configuration exception; application level networking exceptions include HU network exceptions and TBOX network exceptions.
3. The cabin networking abnormal state real-time monitoring method according to claim 1, wherein: in the step 4), the Internet of vehicles platform carries out flink stream processing and analysis on the received data through the stream processing rule judgment module.
4. The cabin networking abnormal state real-time monitoring method according to claim 3, wherein: when the flink stream is processed, besides relevant data transmitted from a cloud, vehicle basic information, time window information and alarm rule information are involved, events are aggregated and processed in a preset time window through flink stream processing, the abnormal state of the vehicle-mounted machine networking is identified and recorded by using an incoming alarm rule, and abnormal state monitoring alarm is carried out according to a monitoring alarm rule.
5. The cabin networking abnormal state real-time monitoring method according to claim 1, wherein: for basic network platform level monitoring, monitoring and collecting basic networking states through a vehicle networking state embedded point module; when the uploading rule is met, the vehicle machine interface is accessed, and the embedded point log is uploaded to the vehicle networking platform through the cloud end according to the embedded point standard.
6. The cabin networking abnormal state real-time monitoring method according to claim 5, wherein: the uploading rules comprise periodic uploading rules and change uploading rules; and uploading the buried point log when any rule of the periodic uploading rule and the change uploading rule is met.
7. The cabin networking abnormal state real-time monitoring method according to claim 6, wherein: the periodic uploading rule is that when the signal intensity is greater than 0 grid and the network-resident state is greater than or equal to 4G, 1-time buried point index is acquired every 1 minute; the change uploading rule means that when the network resident state changes from other states to 4G or the signal strength changes from 0 to more than 0, the uploading is immediately performed.
8. The cabin networking abnormal state real-time monitoring method according to claim 1, wherein: when monitoring by an application level network, the server and the vehicle end are interacted in a long connection mode, after the connection is established between the vehicle end and the server, the connection is maintained by timing heartbeat of the vehicle end, and after the vehicle end detects that the connection is disconnected, the connection is immediately reinitiated; if the connection fails, the connection is retried at set time intervals.
9. The cabin networking abnormal state real-time monitoring method according to claim 8, wherein: after the ignition event of the vehicle is detected on the same day from 00:00 to 24:00, if the connection event of the HU is not monitored after the set time, the HU network is marked as abnormal; and when Tbox heartbeat data is not monitored within a set time after the HU is detected within the same day of 00:00-24:00, marking the TBox network as abnormal.
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