CN110149334A - Vehicle management system - Google Patents
Vehicle management system Download PDFInfo
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- CN110149334A CN110149334A CN201910436987.4A CN201910436987A CN110149334A CN 110149334 A CN110149334 A CN 110149334A CN 201910436987 A CN201910436987 A CN 201910436987A CN 110149334 A CN110149334 A CN 110149334A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/08—Network architectures or network communication protocols for network security for authentication of entities
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/08—Network architectures or network communication protocols for network security for authentication of entities
- H04L63/0823—Network architectures or network communication protocols for network security for authentication of entities using certificates
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/12—Applying verification of the received information
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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
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W12/00—Security arrangements; Authentication; Protecting privacy or anonymity
- H04W12/009—Security arrangements; Authentication; Protecting privacy or anonymity specially adapted for networks, e.g. wireless sensor networks, ad-hoc networks, RFID networks or cloud networks
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W12/00—Security arrangements; Authentication; Protecting privacy or anonymity
- H04W12/06—Authentication
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/30—Services specially adapted for particular environments, situations or purposes
- H04W4/40—Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P]
- H04W4/44—Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P] for communication between vehicles and infrastructures, e.g. vehicle-to-cloud [V2C] or vehicle-to-home [V2H]
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- Computer Security & Cryptography (AREA)
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- General Engineering & Computer Science (AREA)
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- General Health & Medical Sciences (AREA)
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Abstract
The invention discloses a kind of vehicle management systems, the vehicle management system includes car networking core services module, message resolution module, cloud-using data interaction module and data module, car networking core services module and data module are connect with message resolution module, and data module is connect with cloud-using data interaction module.Wherein, car networking core services module is used to carry out data interaction with user terminal, and receives the vehicle end data that vehicle end is sent, and verifies to vehicle end data, if being verified, the trip data in vehicle end data is sent to message resolution module.Trip data after parsing is sent to data module for parsing trip data by message resolution module.Data module for store and or processing trip data." intelligent automobile " and " internet automobile " technology can be supported by having reached, and can satisfy the technical effect of a large amount of, complicated data processing needs.
Description
Technology leads module
Electronic information process field of the present invention, in particular to a kind of vehicle management system.
Background technique
With the high development of Internet technology, intellectualized technology using more and more common.Module, " intelligence are led in automobile
Energy automobile " and the concept of " internet automobile " are known, still, so far without a set of service system, can possess
Good performance leads the need of module to meet data volume is big, data are complicated " intelligent automobile " and " internet automobile " technology enough
It asks.That is, the prior art cannot support " intelligent automobile " and " internet automobile " technology, it is difficult to meet a large amount of, complicated data
Process demand.
Summary of the invention
The purpose of the present invention is to provide a kind of vehicle management system, be intended to improve it is existing in the prior art it is above-mentioned not
Foot.
The embodiment of the invention provides a kind of vehicle management system, the system comprises: car networking core services module disappears
Cease parsing module, cloud-applies data interaction module and data module;
The car networking core services module is used to carry out data interaction with user terminal, and receives what vehicle end was sent
Vehicle end data verifies the vehicle end data, if being verified, the trip data in the vehicle end data is sent to institute
State message resolution module;
The trip data after parsing is sent to institute for parsing the trip data by the message resolution module
State data module;
The data module, for store and or the processing trip data;
The cloud-applies data interaction module, the user's request sent for obtaining the user terminal, from the data mould
The trip data corresponding with user request is obtained in block, the trip data is sent to the user terminal, with anti-
Present user's request.
Optionally,
The system also includes: model training module, the data module include abnormality detection data module;
The abnormality detection data module, it is described different for the status data in the trip data after storing and resolving
Regular data characterizes the abnormal state information of the corresponding vehicle of the trip data;
The model training module, for obtaining the status data from the abnormality detection data module, with described
Status data is as training sample, training abnormality detection model, the abnormality detection model after storage training;
The abnormality detection data module is also used to the abnormal inspection after being trained in the model training module
Model is surveyed, the status data is carried out abnormality detection by the abnormality detection model after training, stores abnormality detection knot
Fruit.Optionally, the data module further includes fault diagnosis module;
The fault diagnosis module, for the fault data in the trip data after storing and resolving, wherein the event
Hinder the health status of the corresponding vehicle of trip data described in data characterization.
Optionally,
The data module further includes driver safety score data module;
The driver safety score data module, for based on the vehicle driving number in the trip data after parsing
According to, progress driver safety traveling scoring, and store appraisal result.
Optionally,
The data module further includes vehicle driving module;
The vehicle driving module, for the running data in the trip data after storing and resolving, the traveling number
According to the trip state for characterizing the corresponding vehicle of the trip data.
Optionally, the system also includes raw data module, the car networking core services modules, if being also used to verify
Pass through, the vehicle end data is sent to the raw data module;
The raw data module, for being stored to the vehicle end data.
Optionally, the system also includes vehicle registration module, the car networking core services modules, if being also used to verify
Do not pass through, the vehicle end data is sent to the vehicle registration module;
The vehicle registration module, for being infused based on the vehicle end data to the corresponding vehicle of the vehicle end data
Volume.
Optionally, the system also includes video stream media service modules;
The video stream media service module, for store vehicle termination transmission video media-data, and with the use
Family end carries out video media-data interaction.
Optionally, the system also includes announcement service modules;
The abnormality detection data module is also used to send exception information when the abnormality detection result, which is, abnormal
To the announcement service module;
The announcement service module will for being packaged to the exception information when receiving the exception information
The exception information after being packaged is sent to the car networking core services module.
Optionally, the message resolution module is also used to, when the trip data after parsing is vehicle body status information,
Prompt information is sent to the announcement service module;
The announcement service module is also used to be packaged the vehicle body status information, after being packaged described in
Vehicle body status information is sent to the car networking core services module.
Compared with the prior art, the invention has the following advantages:
The embodiment of the invention provides a kind of vehicle management system, the vehicle management system includes car networking kernel service
Module, message resolution module, cloud-apply data interaction module and data module, car networking core services module and data module
It is connect with message resolution module, data module is connect with cloud-using data interaction module.Wherein, car networking core services module
For carrying out data interaction, and the vehicle end data that reception vehicle end is sent with user terminal, vehicle end data is verified, if testing
Card passes through, and the trip data in vehicle end data is sent to message resolution module.Message resolution module is used to parse trip data,
Trip data after parsing is sent to data module.Data module for store and or processing trip data.Cloud-applies number
It is used to obtain user's request of user terminal transmission according to interactive module, line number out corresponding with user's request is obtained from data module
According to trip data is sent to user terminal and is requested with feedback user.By using system above framework, " intelligent vapour can be supported
The data interaction of vehicle " and " internet automobile ", message resolution module send out the trip data after parsing for parsing trip data
It send to data module, can satisfy a large amount of, complicated data processing needs." intelligence cannot be supported in the prior art by solving
Automobile " and " internet automobile " technology, it is difficult to which the technical issues of meeting a large amount of, complicated data processing needs, having reached can
With support " intelligent automobile " and " internet automobile " technology, the technology effect of a large amount of, complicated data processing needs can satisfy
Fruit.
Other feature and advantage of the embodiment of the present invention will illustrate in subsequent specification, also, partly from specification
In become apparent, or by implement understanding of the embodiment of the present invention.The objectives and other advantages of the invention can be by institute
Specifically noted structure is achieved and obtained in specification, claims and the attached drawing write.
Detailed description of the invention
In order to illustrate the technical solution of the embodiments of the present invention more clearly, below will be to needed in the embodiment attached
Figure is briefly described, it should be understood that the following drawings illustrates only certain embodiments of the present invention, therefore is not construed as pair
The restriction of range without creative efforts, can also basis for ability module those of ordinary skill
These attached drawings obtain other relevant attached drawings.
Fig. 1 shows the embodiment of the present invention and provides a kind of vehicle cloud system configuration diagram.
Fig. 2 shows a kind of frame structure schematic diagrames of data processing system provided in an embodiment of the present invention.
Fig. 3 shows the frame structure schematic diagram of another data processing system provided in an embodiment of the present invention.
Icon: 100- vehicle cloud system framework;110-AWS public cloud;120-EasyStack private clound;130- core net
EPC;The edge 140-MEC net;150- vehicle termination;160- user terminal;The mobile base station 170-eNB;180- enterprises user;
111- car networking core services module;112- message resolution module;113- data module;114- cloud-applies data interaction module.
Specific embodiment
Exemplary embodiments of the present disclosure are described in more detail below with reference to accompanying drawings.Although showing the disclosure in attached drawing
Exemplary embodiment, it being understood, however, that may be realized in various forms the disclosure without should be by embodiments set forth here
It is limited.On the contrary, these embodiments are provided to facilitate a more thoroughly understanding of the present invention, and can be by the scope of the present disclosure
Communicate completely to the technical staff of ability module.
The embodiment of the invention provides the embodiment of the invention provides a kind of vehicle management systems, to solve the prior art
In cannot support " intelligent automobile " and " internet automobile " technology, it is difficult to meet the skill of a large amount of, complicated data processing needs
Art problem.
Fig. 1 is a kind of 100 schematic diagram of vehicle cloud system framework provided in an embodiment of the present invention, referring to Fig. 1, the framework packet
It includes: AWS public cloud 110, EasyStack private clound 120, core net EPC130, MEC edge net 140, vehicle termination 150.
Wherein, AWS public cloud 110 arrives vehicle data sharing for managing the vehicle data of the upload of vehicle termination 150
EasyStack private clound 120, and data interaction is carried out with vehicle termination 150.AWS public cloud 110 and EasyStack is privately owned
Cloud 120 carries out data periodic synchronization by optical fiber DDN/ internet VPN.AWS public cloud 110 includes multiple business functions, specifically
, these business functions, which can be, realizes that data acquisition, data storage, data synchronization, Communication Gateway, authentication, rule are drawn
It holds up, real-time diagnosis, abnormality alarming, machine learning etc..
The data interactive mode of vehicle termination 150 and AWS public cloud 110, specifically, vehicle termination 150 is publicly-owned using AWS
The AWS IoT equipment SDK of cloud 110 sends data to AWS IoT solution, so that hardware device is quickly connected to AWS
IoT;Vehicle end is topic with MsgID, is directly issued item by item, rather than after being accumulated to certain data volume, it is packaged and issues.
Specifically, AWS business service platform is by more in order to realize multiple business functions that above-mentioned AWS public cloud 110 includes
A business domains composition specifically includes intelligent network connection automobile domain, AWS car networking kernel service domain, initial data domain, vehicle registration
Domain, message parsing domain, notice service-domain, model training domain, abnormality detection data field, fault diagnosis domain, driver safety scoring
Data field, vehicle driving domain, cloud-apply data interaction domain, video stream media service-domain, 160 application domain of user terminal.
Specifically, intelligent network connection automobile domain include authentication unit, Message Agent gateway unit, equipment shadow unit and
Regulation engine unit.The car networking solution verifies the message from connection vehicle, AWS IoT using AWS IoT platform
Device gateway enables a device to safely and effectively communicate with AWS IoT.For the solution, the vehicle of connection using publication/
Model is subscribed to communicate with device gateway.In Pub/Sub model, vehicle leads to news release to the certain logic for being referred to as theme
Believe channel.All CAN bus original signal datas of vehicle termination 150publish are to AWS IoT platform.
Regulation engine: when the vehicle of connection gives out information to the IoT platform of connection, AWS IoT regulation engine is based on fixed
The rule of justice is assessed, is converted and transmit message to back-end services appropriate.Rule type include: authentication registration,
The storage of Telematics data, DTC processing, the storage of vehicle driving tidal data recovering, driving safety scoring processing etc., can be sent to
The service such as Lambda, DynamoDB, Kinesis, S3;All collected original CAN data of vehicle are routed to by IoTRule
In addition the relevant CAN data of vehicle driving are routed to the Lambda in message parsing domain by Kinesis.
Authentication: being mutually authenticated and encrypting for all nodes connecting with AWS IoT is utilized in the solution, with true
The data between vehicle and AWS IoT are protected never to be exchanged when not being proved to identity.Using with X.509 based on the identity of certificate
MQTT connection is verified, to be connected to the vehicle of the solution.The certification authority (CA) that oneself can be registered, for signing
With issue the vehicle certificate with AWS IoT.Each registered vehicle certificate have a permission vehicle only issue and subscribe to
Its relevant theme of identification numbers (VIN).
Vehicle registration domain is specific when realizing concrete function: when vehicle is first connected to AWS IoT, AWS IoT inspection
Survey unknown certificate.If certificate is signed by registration CA, the vehicle solution connected attempts to shake hands in Transport Layer Security (TLS)
Period automatic registered vehicle certificate.MQTT registered events are issued on registration theme associated with registration CA certificate.Note
Volume event calls AWS Lambda function, activates certificate and VIN strategy is attached to it.When certificate is activated and attached plan
When slightly, certificate can be used for the certification and authorization of AWS IoT.Register Lambda in addition to activate related credentials, also by information of vehicles,
Cloud-is written using the customer data base in data interaction domain in the relevant informations such as certificate information, message subject.Equal users are at the end App
It, can be with query-relevant data when associated vehicle;
When realizing concrete function, specific: the message of all generations of vehicle is all deposited by regulation engine in initial data domain
Enter the data flow of Kinesis DataStream transmission encryption, Kinesis will periodically trigger Lambda (every write-in 100
Data-triggered is primary), carry out the initial data in reading data flow and stores into the interim bucket of Amazon S3.CloudWatch
It will monitor and periodically trigger another Lambda (triggering is primary per hour), to read the data of the interim bucket of Amazon S3,
It parses and passes through VIN car number and combine initial data (one destination file of combination producing per hour) with the period, and will
It is stored into the formal bucket of Amazon S3, finally deletes interim barrelage evidence.It is opened when Kinesis Firehose is serviced in China
After putting, it will use service substitution Lambda that Kinesis DataStream is automatically saved to Amazon S3.
Message parses domain when realizing concrete function, and specific: the origination message of all generations of vehicle all passes through rule and draws
It holds up triggering Lambda and executes parsing work.All information parsed are directly stored in the DynamoDB in vehicle driving data field
Table in, while be written AWS trustship ElasticCache cloud caching distributed type assemblies Redis in.Once what is parsed disappears
Include fault message in breath, is then stored in fault diagnosis code data field simultaneously.Vehicle number and automobile type configuration information .dbc file
Corresponding relationship resource file is located at the domain, reads parsing by message parsing Lambda every time.
Vehicle driving data field is specific when realizing concrete function: all message that message parsing domain parses with
Structured form is stored in the DynamoDB table in vehicle driving data field, handles vehicle remote information data in the process of moving.
A data are also stored in Redis caching simultaneously, are inquired so that user terminal 160 monitors in real time.The number of DynamoDB and Redis
According to continuous renewal, until traveling is completed.The Redis data survival period is 1 minute tentative, can make Developing Tactics according to the actual situation.
Fault diagnosis code data field is specific when realizing concrete function: troubleshooting data code domain deposits fault code
Storage is in DynamoDB table.And inquiry is provided to front end user end 160 and is supported.
Driver safety score data domain is specific when realizing concrete function: message parses the Lambda in domain once examining
Measuring stroke terminates, and calls the Lambda function of processing polymerization trip data immediately, and executes algorithm to generate the peace of driver
Full scoring.Then the Lambda of function trigger notice service-domain is by safety scoring notice to driver.Score is added to safety
In scoring DynamoDB table.The safety scoring criterion of behavior can be manipulated as trip driver using following index:
1) gear shift frequency: referring to shift number in the unit time, is an important indicator for characterizing longitudinal direction of car manipulation.This refers to
Mark is influenced by many factors such as traffic environment, driving proficiency, driving tasks.Under fixed traffic scene, drive
The gear shift frequency of member is relatively stable.But when external condition changes, such as " driving of phoning with mobile telephone ", then this index will occur bright
Aobvious variation.Therefore, which can be used as the characteristic index that analysis external factor longitudinally manipulates behavioral implications degree to driver.
Calculate gear shift frequency formula are as follows: GearChangeRate=N/T, wherein each symbol meaning is as follows:
GearChangeRate: shift number in the unit time, unit: beat/min, N: referring to shift number in the analysis period,
Unit: secondary, T: the time span of period is analyzed, unit: minute.
(2) neutral gear slides ratio: vehicle neutral gear slides not to be allowed from a safety viewpoint, especially in descending section sky
Shelves slide, and be easy to cause motor vehicle braking system failure, there are biggish security risks.For this purpose, neutral gear coasting time ratio is made
Another index of behavior is longitudinally manipulated for driver.
Specifically, calculating neutral gear slides ratio formula are as follows: GearZeroRate=Tzero/T, wherein each symbol meaning is such as
Under:
GearZeroRate: neutral gear coasting time ratio, dimensionless, Tzero: when referring in the analysis period shared by the neutral gear period
Long, unit: T: the second analyzes the time span of period, unit: the second.
(3) turn signal frequency of use: driver uses the number of turn signal in the unit time.The use of turn signal is to ensure that
One important measures of traffic safety, while being also the important characteristic index of lateral direction of car movement.
Specifically, calculating turn signal frequency of use formula are as follows: LightChangeRate=Nl/T, wherein each symbol meaning
It is as follows:
LightChangeRate: turn signal access times in the unit time, unit: beat/min, Nl: refers in the analysis period and turn
To lamp access times, unit: secondary, T: analysis Period Length, unit: minute.
(4) turn signal reasonability index: turn signal access times/change lane number.When turn signal access times are more than
When change lane or number of turns, i.e., as T > 1, then there is lane change, turning is intended to but failed the case where executing;Conversely, saying
There is the case where without using turn signal in lane change, turning in bright driver.T value can fluctuate near l under normal conditions, when T < 1
When, then it will appear that T is smaller, the bigger trend of accident potential.
(5) longitudinal acceleration: longitudinal acceleration should travel in a lesser range when one section in normally travel
Middle acceleration is excessive, it may be considered that the driving behavior safety of the driver is lower.We, which read in CAN signal, longitudinally accelerates
The value of degree, when its absolute value is greater than some critical value, we can drive score to it and do deduction processing.Acceleration is bigger, subtracts
Divide more.
To simplify the process, the identical weight of above five setup measures, each index total score are respectively 20 points, out the start of line
It is divided into 10 points, reasonability is then bonus point, and unlawful practice then deduction, minimum to be divided into 0, highest is divided into 20.Resulting fractional value and work
For total safety scoring of this section of trip.Subordinating degree function is made to simplify processing, and trapezoidal profile is selected to be described.
Notify service-domain when realizing concrete function, specific: the events such as failure, exception, driving scoring can trigger
Lambda function sends IoT message to the specific IoT theme of IoT gateway, and user terminal 160, which passes through, monitors specific IoT theme,
Message informing can be sent to smart phone and the PC application of 160 application domain of user terminal by IoT platform;
Model training domain is specific when realizing concrete function: vehicle driving method for detecting abnormality is generally comprised based on rule
Inspection then, supervised learning Inference Forecast, state diagram SG (State Graph) diversity ratio equity.This programme, which uses, supervision
Machine learning method, training sample S3 derive from private cloud storage.Private clound will synchronize the S3 data in initial data domain, and to it
Parsing, data cleansing, it is characteristic labeling, visualization etc., then upload quality data to the model training domain of AWS training sample
This S3.
Here the real-time abnormal detection function of vehicle health state is realized first, and the machine learning for being considered as random forest is calculated
Method, establish two models: (tire pressure is low, engine motor oil oil level is low, engine temperature is high, three conditions for vehicle maintenance detection model
Meet any condition), vehicle recalls detection model, and (engine temperature is high but external temperature is low, and engine temperature is low but external temperature
Height, two conditions meet any condition).
Abnormality detection data field is specific when realizing concrete function: utilizing Kinesis Stream+EMR inference service
Cluster disposes trained machine learning inference pattern to cloud and constructs Inference Platform.Data parse the Lambda in domain for institute
There is message to be sent to the Inference Platform to make inferences, with the exception in detection data.The sample data and abnormality detection knot of input
Fruit (ground truth) will be appended to automatically in the training sample S3 in model training domain.It, will record if detecting exception
Storage is sent into DynamoDB table for the inquiry of user terminal 160.The final use of Lambda notice in message informing domain is triggered simultaneously
Family.
For the abnormality detection model using structuring, partly-structured data input sample as testing conditions, message solution
After analysis domain Lambda parses business datum, it is sent to the Kinesis Stream of abnormality detection data field.If there is multiple different
Normal detection model, will there is corresponding multiple DataStream here, and each DataStream will also basis in Kinesis
Partition key does Sharding fragment, and the data of the same key are all put into a shard, each shard
It can be handled by (and only one) processor processor.It is one-to-one relationship between Processor and shard,
It is thus not in the race condition between thread, the pressure of system when naturally also just alleviating data volume increase
?.
The model of inference service device loads, obstructed overload balanced device routing, but each of cluster Node will
The S3 in model training domain is periodically gone to obtain new, trained model, time interval same cycle of training (such as training one in one week
Model, then inference service device took once with regard to one week).
Cloud-is using data interaction domain when realizing concrete function, and specific: the solution matches Amazon API gateway
It is set to the Restful API of hosting solution, (user information is deposited by the self-built certification user pond of Cognito connection user
Storage can copy to the privately owned cloud platform of user in Aurora database), user's registration can be added using the user pond
And log on in the vehicle application program of existing connection.Existing application program and third party service provider can pass through
Restful API is safely interactive with the vehicle data being connect.APIS accesses the AWS service of vehicle as " front door ".AWS
Vehicle-mounted solution data are stored in Amazon DynamoDB.In addition API can be used to be building up in solution to access
Any extension function.
Mobile or 160 user's registration of pc user end triggers Lambda by Cognito, to register customers as information write-in
Aurora.In addition when user log-in authentication, Lambda is triggered by Cognito, Aurora data is read and carries out validation check.
Lambda is triggered by access API gateway and inquires rear end DynamoDB and Aurora number in mobile or pc user end 160
According to library, obtains information and present.
Mobile or 160 built-in timer of pc user end, periodically through Http Restful connection API gateway and is triggered
Lambda, access Redis caching, the real-time vehicle trip data of acquisition request, finally by query result response to user terminal 160
The remote real-time monitoring of vehicle driving data is realized in display.
Aurora relevant database stores information of vehicles, user information entity table, in addition considers to establish vehicle-user
Relation table provides Web browser configuration interface, and the administrator having permission is allowed to be that vehicle and user establish mapping relations.
Web static Web page is developed using Vue.js, and script file is stored in the S3 in the domain, by 160 browser tune of user terminal
With downloading and rendering interface, the Lambda of rear end is realized using Node.js coding.
For video stream media service-domain when realizing concrete function, specific: Amazon future will be in CHINESE REGION release official
The video stream media of side services AWS Media Services, and wherein MediaLive function supports net cast, without building base
Infrastructure can be realized massive video stream and upload to obtain processing and live streaming forwarding.The data of live streaming can be by real-time storage to S3 simultaneously
In.The video data that S3 is arrived using storage, can also carry out video on demand playback.
Current MediaLive function is not yet issued, therefore first uses the streaming media service work of Elemental/EasyDarWin
Have chain, realizes that storage is arrived Amazon S3 by the forwarding, mobile phone live streaming, video stream media data of 150 video stream media of vehicle termination
The functions such as bucket.
Intelligent network joins automobile domain when realizing concrete function, specific: AWS IoT equipment SDK: using AWS IoT equipment
SDK sends data, transmission channel MQTT+4G/5G to AWS IoT solution.
Vehicle-mounted camera acquires video data, does data fusion, compressed encoding (H.264/H.265) by video processor
Afterwards, video code flow is sent to AWS cloud, transmission channel RTMP+4G/5G.
160 application domain of user terminal is specific when realizing concrete function: applied including smart mobile phone application, Intelligent flat,
PC machine application etc..The channel interacted with car networking kernel service domain is WebSocket+MQTT+Https, realizes the control of vehicle shadow
System, subscribes to original CAN bus data at subscribing notification.The channel that data interaction domain is applied with cloud-is Http Restful, is realized
The functions such as user log-in authentication, the inquiry of history driving recording.Channel with video stream media service-domain is RTMP live streaming, Http point
Broadcast playback.EasyStack private clound 120 is used for providing vehicle data by Ethernet to enterprises user 180.
Wherein, EasyStack private clound 120 include data synchronisation unit, data storage cell, virtual cloud table-top unit,
Data analysis unit, analog simulation unit and training sample pretreatment unit, it is data synchronisation unit, data storage cell, virtual
Cloud table-top unit, data analysis unit, analog simulation unit and training sample pretreatment unit be respectively used to realize data it is synchronous,
Data storage, the analysis of virtual cloud desktop, data, analog simulation and the pretreated function of training sample.
Optionally, AWS public cloud 110 can carry out data communication, the core by core net EPC130 and vehicle termination 150
Heart net EPC130 may include correspondingly wireless telecommunications framework, for example, LTE wireless cellular network.Vehicle termination 150 and user terminal
160 can carry out data communication by LTE wireless cellular network and AWS public cloud 110, for example, user is logical by smart phone APP
It crosses LTE wireless cellular network and AWS public cloud 110 carries out data communication.
AWS public cloud 110 can carry out data communication, the edge the MEC net by the edge MEC net 140 and vehicle termination 150
140 may include correspondingly wireless telecommunications framework, for example, 5G wireless cellular network.Vehicle termination 150 and user terminal 160 can be with
Data communication is carried out by 5G wireless cellular network and AWS public cloud 110, for example, user passes through WIFI by smart phone APP
Wireless network connection 5G-EPC, and then data communication can be carried out by 5G wireless cellular network and AWS public cloud 110.
Optionally, AWS public cloud 110 and vehicle termination 150 and user terminal 160, which carry out communication, can move base by eNB
It stands and carries out data forwarding.As an alternative embodiment, AWS public cloud 110 includes one kind provided in an embodiment of the present invention
Vehicle management system, the vehicle management system include car networking core services module 111 as shown in Figure 2, message parsing mould
Block 112, cloud-apply data interaction module 114 and data module 113, car networking core services module 111 and data module 113
It is connect with message resolution module 112, data module 113 is connect with cloud-using data interaction module 114.
Wherein, car networking core services module 111 is used to carry out data interaction with user terminal 160, and receives vehicle end
The vehicle end data of transmission, verifies vehicle end data, if being verified, the trip data in vehicle end data is sent to message
Parsing module 112.Trip data after parsing is sent to data module for parsing trip data by message resolution module 112
113.Data module 113 for store and or processing trip data.Cloud-is using data interaction module 114 for obtaining user terminal
The 160 user's requests sent, trip data corresponding with user's request is obtained from data module 113, trip data is sent
It is requested to user terminal 160 with feedback user.
By using above scheme, the vehicle management system includes car networking core services module 111, message parsing mould
Block 112, cloud-apply data interaction module 114 and data module 113, car networking core services module 111 and data module 113
It is connect with message resolution module 112, data module 113 is connect with cloud-using data interaction module 114.Wherein, car networking core
Service module 111 is used to carry out data interaction with user terminal 160, and receives the vehicle end data that vehicle end is sent, to vehicle end number
According to being verified, if being verified, the trip data in vehicle end data is sent to message resolution module 112.Message parses mould
Trip data after parsing is sent to data module 113 for parsing trip data by block 112.Data module 113 is for storing
With or processing trip data.Cloud-is used to obtain user's request of the transmission of user terminal 160 using data interaction module 114, from number
According to trip data corresponding with user's request is obtained in module 113, trip data is sent to user terminal 160 and is asked with feedback user
It asks.By using system above framework, the data interaction of " intelligent automobile " and " internet automobile " can be supported, message parses mould
Trip data after parsing is sent to data module 113, can satisfy a large amount of, complicated by block 112 for parsing trip data
Data processing needs." intelligent automobile " and " internet automobile " technology cannot be supported in the prior art by solving, it is difficult to be met
Largely, the technical issues of complicated data processing needs, " intelligent automobile " and " internet automobile " skill can be supported by having reached
Art can satisfy the technical effect of a large amount of, complicated data processing needs.
Optionally, car networking core services module 111 also with user terminal 160 today of data interaction.Car networking kernel service
Module 111 includes authentication unit, Message Agent gateway unit, equipment shadow unit and regulation engine unit.Authentication
Unit, equipment shadow unit and regulation engine unit are connect with Message Agent gateway unit, and authentication unit and vehicle end connect
It connects, equipment shadow is connect with user terminal 160.
Wherein, authentication unit is used to receive the vehicle end data of vehicle end transmission, verifies to vehicle end data, if inspection
It tests and passes through, send Message Agent gateway unit for vehicle end data.Specifically, authentication unit is used for in vehicle data
Digital signature information is confirmed, to confirm whether sender or recipient are correct, whether confirmation sender has the right to described
System sends certain class message.
Message Agent gateway unit is for forwarding vehicle end data to regulation engine unit or equipment shadow unit, specifically
, Message Agent gateway unit is the component for forwarding vehicle end data, the receipts of the middle vehicle end data for receiving authentication unit
Letter request, and forward vehicle end data to regulation engine unit or equipment shadow unit or receive regulation engine unit or set
Request that standby shadow unit was sent transmit, and authenticated authenticating unit is to transmitting after request signs, by transmitting after signature
Request is transmitted to equipment shadow.
Equipment shadow will be for that will carry out data interaction with user terminal 160.Regulation engine be used for by trip data be sent to by
Trip data in vehicle end data is sent to message resolution module 112.
Message, which parses, is equipped with Lambda function unit in domain, Lambda function unit is connect with regulation engine unit,
Trip data after parsing is sent to data module 113 for parsing trip data by Lambda function unit.
Specifically, following car networking core services modules 111 are referred to as AWS car networking core services module 111, AWS includes
Authentication unit, Message Agent gateway unit, equipment shadow unit and regulation engine unit be referred to as authentication, disappear
Cease proxy gateway, equipment shadow and regulation engine.
Wherein, authentication is for confirming the digital signature information in communication information, with confirm sender or
Whether recipient is correct, and whether confirmation sender has the right to send certain class message.
Message Agent gateway is used to forward the component of communication information, and processing includes: to receive authentication component collection of letters request, and turn
Issue other internal components;Other components transmit request, and after authenticated component signature, are transmitted to outside.
Message Agent gateway completes the assembling to message according to agreement format (MQTT), to be uniformly transmitted to Message Agent net
It closes.At present realize abnormality detection module sending abnormal results information, the fault diagnosis result information of fault diagnosis module and
The driving score information that grading module calculates is driven after a trip.
The communication at vehicle end and cloud can all pass through Message Agent gateway and authentication.They have handled CAN bus at present
Data (vehicle to cloud) remotely control vehicle command (cloud to vehicle).
Equipment shadow is accomplished that state (such as engine condition, speed, the Switch for door and window shape for keeping one group of vehicle beyond the clouds
State etc.), and receive the control instruction that mobile terminal issues.The setting of equipment shadow be avoid mobile terminal from directly controlling vehicle end, if
Standby shadow can star the effect of vehicle-state caching, control command buffering and security control.
Uplink CAN bus information communication for vehicle to cloud, mobile client 160, which passes through, issues a command to vehicle under cloud
The communication remotely controlled, can all pass through proxy gateway and authentication service;Cloud is passed through for mobile client 160
The communication of long-range control vehicle instruction, using equipment shadow technology.The CAN bus information of all uploads of vehicle, all by authentication,
Proxy gateway is transmitted to regulation engine, and then completes more advanced, business-level data processing.
Equipment shadow can be interacted with all 160 equipment of user terminal, including intelligent mobile terminal, PC machine etc..
The data that vehicle termination 150 uploads follow MQTT agreement, and data-message includes " theme " and " message body " two parts,
" theme " identifies certain class message, and " message body " includes actual numerical value data.The data of vehicle end terminal are CAN bus data, we
Using the ID of CAN message as " theme ", the real data of CAN message is used as " message body ".Pass through regulation engine, so that it may different
CAN message, be sent to the processing of different components.
When CAN message uploads, the coding of CAN protocol is kept, after CAN message reaches message resolution module 112, just has and disappears
Lambda program in breath parsing module 112 decodes actual vehicle numerical information according to vehicle CAN signal DBC file
(including speed, GPS signal etc.).Abnormality detection module, drives grading module and vehicle driving module all at fault diagnosis module
It is to be calculated using the data after the parsing of message resolution module 112, and raw data module 113 is without parsing, direct basis
" theme " information is saved.
When vehicle is connected for the first time using safety certificate, the Lambda of vehicle registration module can be called by regulation engine, and handle
Certificate information used in connecting is as parameter.
Optionally, on the basis of Fig. 2, Fig. 3 is another vehicle management system, i.e., on the basis of system in Fig. 2,
The system further include: model training module, data module include abnormality detection data module, and abnormality detection data module is for depositing
The status data in trip data after storage parsing, abnormal data characterize the abnormal state information of the corresponding vehicle of trip data,
Model training module is for obtaining status data from abnormality detection data module, using status data as training sample, training
Abnormality detection model, the abnormality detection model after storage training, abnormality detection data module are also used to from model training module
Abnormality detection model after being trained carries out abnormality detection status data by the abnormality detection model after training, storage
Abnormality detection result.
Wherein, status data includes normal vehicle operation relevant state data and the correlated condition that vehicle driving is abnormal
Data, the relevant state data being abnormal with normal vehicle operation relevant state data and vehicle driving make trained sample together
This, is trained abnormality detection model.
Optionally, abnormality detection data module includes Kinesis business data flow unit, EMR inference service cluster unit
It is connect with exception information data cell DynamoDB, Kinesis business data flow unit with Lambda function unit, Kinesis
Business data flow unit is for caching abnormal data, and EMR inference service cluster unit from model training module for being instructed
Abnormality detection model after white silk obtains the abnormal data of caching from Kinesis business data flow unit, and abnormal data is inputted and is instructed
Abnormality detection model after white silk, detects abnormality detection result, by abnormality detection result storage to exception information data cell
In DynamoDB.Optionally, the abnormal data of caching can be the information such as tire pressure, tank temperature.
Specifically, message resolution module CAN data are parsed after the information such as tire pressure, tank temperature, be given to exception first
The Kinesis Stream of detection data module is cached.And EMR inference service device cluster timing (every 2 seconds) from
Kinesis Stream is read, and carries out reasoning and calculation.Kinesis Stream plays the role of data buffering.EMR reasoning clothes
Business cluster is the server cluster environment that AWS provides that a distributed storage calculates, and user can count the distribution write
The program of calculation is deployed in this cluster environment.EMR, which is provided, can be automatically or manually increased or reduce calculate node, Lai Zengjia
Or save computing capability.In the EMR inference service cluster of abnormality detection data module ", one is deployed based on machine learning
Vehicle O&M reasoning detects program.And the DynamoDB in abnormality detection data module is the distribution type file type of a NoSQL
Database is used to store the testing result of vehicle O&M detection program in " abnormality detection data module ".
Optionally, model training module includes training sample cell S 3, model training unit and model storage unit S3.Instruction
Practice and be sequentially connected between sample unit S3, model training unit and model storage unit S3, training sample cell S 3 and model are deposited
Storage unit S3 is connect with the EMR inference service cluster unit in abnormality detection module.Training sample cell S 3 by EMR for being pushed away
Manage service cluster unit obtain abnormal data, stored using abnormal data as training sample, model training unit for from
Training sample is obtained in training sample cell S 3, based on training sample training abnormality detection model, by the abnormality detection after training
Model is stored into model storage unit S3, and EMR inference service cluster unit can obtain training from model storage unit S3
Abnormality detection model afterwards.
Specifically, training sample cell S 3, model training unit and model storage unit S3 are referred to as trained sample in Fig. 3
This S3, EMRSparkML and model store S3.Training sample S3 is storage unit, is the object storage service of Amazon.
EMRSparkML is the server cluster environment that AWS provides that a distributed storage calculates, and user can be the distribution write
The program that formula calculates, is deployed in this cluster environment.EMR, which is provided, can be automatically or manually increased or reduce calculate node, come
Increase or save computing capability.In EMRSparkML, the vehicle O&M training program based on machine learning is deployed.Instruction
Practicing model S3 is the storage unit comprising multiple training patterns.Training sample S3 is the input as above procedure, and trains mould
Type S3 is the output of above procedure.Vehicle O&M in EMRSparkML detects program, needs to use training pattern S3 as certainly
Oneself input file.Exactly, when the vehicle O&M reasoning detection program in EMRSparkML is run, training pattern can be loaded
Model file on S3.
Optionally, data module further includes fault diagnosis module;Fault diagnosis module is used for the line number out after storing and resolving
Fault data in, wherein fault data characterizes the health status of the corresponding vehicle of trip data.Optionally, fault diagnosis
It include fault diagnosis DDB in module, fault diagnosis DDB is for the fault data in the trip data after storing and resolving, wherein therefore
Barrier data can be the Gernral Check-up result of the Lambda function unit parsing trip data in message parsing domain.Cloud-applies number
According to the lambda in interactive module, meeting enquiry of historical data from the DDB of fault diagnosis module.
Optionally, data module further includes driver safety score data module, and driver safety score data module is used
In based on the vehicle driving data in the trip data after parsing, progress driver safety traveling scores, and stores scoring knot
Fruit, wherein vehicle driving data include: instrument board data (electronic stability control, mileage), digital map navigation (GPS positioning), sensing
Device data (Chinese herbaceous peony object, vehicle two sides object, lane line), bus signals (steering wheel angle) etc..
Optionally, driver safety score data module includes safety scoring DynamoDB and scoring Lambda, scoring
Lambda is the message trigger by a pair of of engine start and tail-off, the Lambda function in message parsing domain module
Unit resolves will call scoring lambda, scoring to the message of some vehicle VIN tail-off in trip data
Lambda calls the historical data for this trip task inside the safety scoring DynamoDB in vehicle driving module, so
Based on this, you are that data carry out scoring calculating, and calculated result is saved in safety scoring DynamoDB to scoring lambda afterwards,
It calls and inquires for subsequent user end.
Optionally, data module further includes vehicle driving module, for the row in the trip data after storing and resolving
Data are sailed, specific vehicle driving module is used to cache and permanently store the running data in the trip data after parsing, row
Sail the trip state of the corresponding vehicle of data characterization trip data.
Optionally, vehicle driving module includes Redis cache unit and trip data DDB unit, and Redis cache unit is used
The traveling number data in trip data after caching parsing, trip data DDB unit are used for the trip data after storing and resolving
In traveling number data.In embodiments of the present invention, optionally, it needs to regularly update the traveling cached in Redis cache unit
Number data.
Specifically, trip data DDB unit is known as trip data DDB in embodiments of the present invention, it to be used for memory of driving mistake
The relevant pipelined data of some trips of journey, these data are all the CAN message after parsing, including speed, GPS location, brake note
Record etc..
Redis is a cache database, it provides higher access speed, supports high concurrent." message resolution module "
Message after parsing, portion is first put in Redis, then Synchronous Radio is a in DynamoDB.The former provides cloud-and hands over using data
Mutual module gives magnanimity mobile terminal and PC end subscriber real time access.And the latter is to inquire as historical data for user's later retrieval.
Such as car speed, current newest data are always stored in Redis, and the data of each timestamp are stored in DynamoDB.
Optionally, system further includes raw data module, and car networking core services module is also used to, will if being verified
Vehicle end data is sent to raw data module, and raw data module is for storing vehicle end data.
Optionally, raw data module includes KinesisStream, Lambda, CloudWatch and initial data
Amazondan, wherein KinesisStream, CloudWatch and initial data Amazondan are connect with Lambda,
KinesisStream is connect with regulation engine unit.
Specifically, the internal data structure of Kinesis Stream is a queue, import from regulation engine constantly toward
Data are filled in the inside, and outlet is by the taking-up of Lambda function timing, compression and saves.Kinesis Stream primarily serves one
The effect of buffering.Lambda is the service that AWS is supplied to some specially treateds of user's custom writing.In initial data
Lambda, we realize from Kinesis Stream and take out data, compress and are saved on AmazonS3.Amazon S3 is
Distributed objects storage service Amazon Simple Storage Service, it has simple Web service interface, can use
In from any position storage on Web and retrieving any number of data.CloudWatch clocked flip calls Lambda function.
Lambda combination CloudWatch clocked flip in initial data realizes timing (every 1 hour) from Kinesis Sream
Data are taken out, compresses and is saved on S3.
The embodiment of the present invention does not distinguish ground, all CAN data is sent to raw data module, initial data can file guarantor
These data are deposited, convenient in the future offline analytic function or historical auditing function.
Optionally, system further includes vehicle registration module, and car networking core services module is also used to, if verifying does not pass through,
Vehicle data is sent to vehicle registration module;Vehicle registration module is used for based on vehicle end data to the corresponding vehicle of vehicle end data
It is registered.
Specifically, vehicle registration module based on vehicle end data the corresponding vehicle of vehicle end data is registered when, specifically
Are as follows: when vehicle is connected for the first time using safety certificate, the Lambda in vehicle registration domain can be called by regulation engine, and connection is made
The certificate information used is as parameter.The Lambda realizes the VIN that vehicle is obtained from certificate, then inquires this in the library Aurora
A VIN agrees to continue with connection if this VIN has been registered, and otherwise rejection connects.Specifically, system is each vehicle first
Trusted certificate is distributed, in programming to vehicle termination SoC.When vehicle connects system for the first time, the rule of car networking core services module
As soon as having a special rule inside engine, it is attached to vehicle registration module, carrying out certificate by the Lambda function of the inside has
The inspection of effect property, then vehicle cloud connection will disconnect.Then, vehicle secondary reconnects system, at this moment this special rule of regulation engine
It then will no longer be triggered, but other rules can be triggered, for example forwarding vehicle data parses mould to raw data module, to message
Block etc..
Optionally, system further includes video stream media service module, and video stream media service module is for storing vehicle end
The video media-data sent is held, and carries out video media-data with user terminal and interacts.
Specifically, video stream media service module includes video data AmazonS3, storage service unit and kernel service
Unit is sequentially connected, video data AmazonS3 between video data AmazonS3, storage service unit and kernel service unit
Data or storing data can be obtained from storage service unit with kernel service unit, and then carry out data friendship with user terminal
Mutually.Specifically have, user terminal by access video data AmazonS3 and or kernel service unit and video stream media service module
Carry out data interaction.Video media-data is sent kernel service unit by vehicle termination, and then kernel service unit is by video
Media data is stored to storage service unit.For example, Amazon S3 is distributed objects storage service, it is suitble to storage video, sound
The unstructured datas such as frequency.Video stream media core services module is after the camera video data for receiving vehicle termination, forwarding
Video flows to storage service unit, which serializes video flowing into Amazon S3, forms video stream media
File, for user terminal afterwards to the on-demand playback of history video file, every kind of user terminal oneself realizes video player
Function.
In addition, kernel service unit can also be to reality after the camera video plug-flow to kernel service unit of vehicle termination
When video flowing be forwarded, various user terminal video players carry out draw stream live streaming, realize the long-range view of vehicle-periphery
Frequency real time monitoring ability.
Optionally, system further includes announcement service module, and abnormality detection data module is also used to, when abnormality detection result is
When having abnormal, exception information is sent to announcement service module, announcement service module is used for, when receiving exception information, to different
Normal information is packaged, and the exception information after being packaged is sent to car networking core services module.
Specifically, announcement service module includes Lambda, announcement service module, which is Lambda function, to be called by other domains
's.Announcement service module completes the assembling to message according to agreement format (MQTT), and is uniformly transmitted to Message Agent gateway
Unit.Abnormal results information, the fault diagnosis result information of fault diagnosis module of the sending of abnormality detection module are realized at present
The driving score information calculated with driver safety grading module after a trip.
In addition, various user terminal systems get notice service mould by equipment shadow unit, Message Agent gateway unit
The data that block Lambda has been handled, that is, realizing the real-time prompting function on such as smart phone or PC machine, (vehicle driving occurs
The real-time of driver safety scoring after the completion of the Real-time Alarm of exception, the Real-time Alarm of fault diagnosis, primary trip task mentions
Show).
Optionally, message parsing is classified in being also used to the trip data to parsing, respectively by different classes of trip
Data be sent to abnormality detection data module, fault diagnosis module, driver safety score data module, vehicle driving module and
In announcement service module.That is, according to the content of each CAN message, being transmitted to not after message resolution module parses CAN data
Same module.For example, the information such as tire pressure, tank temperature are then given to abnormality detection data module, such as sensor fault mark
The excessively low all kinds of failure warning information of will, oil pressure are then given to fault diagnosis module, such as speed, GPS location, front identification letter
The information such as breath, then be given to the information such as trip data module, such as speed, front identification information, transverse acceleration, be then given to driving
The information such as member safe score data module, such as engine condition, speed, Switch for door and window state, then be given to announcement service module.
Wherein, message needed for data is different between each business module, and has overlapping.
Wherein, announcement service module is specifically used for receiving three classes data: abnormality detection data, driver safety scoring number
According to CAN bus signal (travel condition of vehicle) data after the parsing of, vehicle data.The Lambda function of the notification module will be to this
Three classes data carry out notification message encapsulation, then message are handed down to the Message Agent gateway of car networking core services module, client
The theme Topic of relevant message is subscribed at end, and then obtains real-time informing.
Optionally, message resolution module is also used to, and when the trip data after parsing is vehicle body status information, sends prompt
Information to announcement service module, announcement service module is also used to, and is packaged to vehicle body status information, by the vehicle after being packaged
Body status information is sent to car networking core services module.
Optionally, cloud-includes Lambda, Aurora service application DB, Cognito, S3 static using data interaction module
The units such as script and APIGateway, wherein Lambda is used to handle the received different HTTP requests of API gateway, for example moves
Hold APP login authentication authentication, realized by Amazon Cognito, using as use IAM role and strategy Lambda authorization
The alternative solution of side.Amazon Cognito provides user pond and identity pond, user pond provide registering and logging for application program
The User Catalog of option, identity pond provide AWS voucher to authorize the access authority serviced other AWS to user.At present in
The function in state user pond does not open, and uses the customized user registry database Aurora of API Gateway+Lambda+ here
User authentication is completed, the mode that joint Cognito makees to authorize realizes the login authentication authentication to login user.
The identity pond of Cognito is created first on AWS, and matches corresponding role (each role, which has, provides different AWS
The access authority in source).Mobile terminal is issued logging request → cloud API Gateway in a manner of HTTP and receives request, is gone to
Lambda → Lambda parses the user name password in logging request, and accesses Aurora service application database, carries out user
Name/password match.After user authentication success, mobile terminal APP calls the SDK of Cognito, is created according to identity pond ID and module name
Build Credential Provider, and then be created that AWSIoTClient object, the object according to the certificate file of mobile terminal and
Request generates a temporary key, and carries out key persistent storage.Then mobile terminal locallys create strategy request, and according to this
Key obtains corresponding strategy, and then obtains corresponding AWS resource access authority.
For example, enquiring vehicle driving trace yesterday: mobile terminal is issued inquiry request → cloud API gateway in a manner of HTTP and connect
Receive request, go to Lambda → Lambda parsing logging request in vehicle VIN, the parameters such as time, then from trip service module
DynamoDB in retrieve corresponding GPS information, then verification result is returned to → API gateway → mobile terminal APP.
Aurora is the database of relationship type, and the inside stores user's registration information and vehicle registration information.Vehicle uses
When safety certificate connects for the first time, the Lambda of vehicle registration module can be called, and Lambda realization obtains vehicle from certificate
VIN, this VIN is then inquired in the library Aurora, if this VIN has been registered, agrees to continue with connection, otherwise rejection connect
It connects.Aurora is the database of relationship type, and the inside stores user's registration information and vehicle registration information.Number inside Aurora
According to by cloud-using write-in and reading (realization PC end subscriber registered vehicle letter on webpage of the lambda in data interaction module
Breath and user information, these information datas lambda are practical to write the Aurora database).
Cognito is the user log-in authentication authentication service checking assembly that AWS is provided.API is Application
Programming Interface, the meaning of application programming interface, API gateway refers in a network here, concentrates
The component of batch processing calling interface is provided.
Webpage is usually to be made of html file, picture, js script.In this framework, as picture, this kind of resource of js script
File is stored in above S3 static Web page script.Generate dynamic html text as needing to access back-end data, be by
Database Dynamic generates after Lambda access.
For cloud-using Aurora, Cognito, S3 static Web page script and API, Yong Hutong in data interaction module
When crossing browser accession page, access this URL of Amazon S3 first, after obtaining html file, picture and js script, by this
The browser engine on ground is parsed and is rendered interface.And when user carries out various operations on web browser interface it is necessary to
HTTP request is sent to API gateway, API gateway receives and distributes these requests.If it is logging request, transfer to Lambda and
Aurora processing, and return to the prompt for logining successfully or failing;If it is the request of historical query class, Lambda and various is transferred to
DynamoDB business library generates result html page and returns.
Announcement service module sends cloud-using data interaction module for notification information, and cloud-is anti-using data interaction module
Notification information is presented to user, cloud-is also used to the request sent according to user terminal using data interaction module, corresponding from abnormality detection
The fault diagnosis DDB in abnormal DynamoDB, fault diagnosis module in data module, in driver safety score data module
Scoring Lambda and or safety scoring DynamoDB obtain corresponding data feedback to user.
Optionally, vehicle termination includes vehicle sensors, IOTSDK, vehicle camera and video processor etc..User terminal
Smart phone, Intelligent flat are stored in including smart phone, Intelligent flat, PC and installation, apply APP in PC.User can
To apply APP by operation, and then data interaction is carried out with vehicle management system.User terminal can be set on vehicle termination,
Realize vehicle termination and user terminal integration.
It should be noted that hardware environment used in above-mentioned modules is all independent.Physically, if make
With the same hardware environment, for user be it is transparent, this is also a feature of cloud computing environment.That is, above-mentioned each
Module can be the software function module being arranged on a hardware device, also can be set on different hardware devices.?
The user and information of vehicles that have registered are matched in use, system manager passes through web back-stage management interface first
It sets, for example can have which vehicle under which user name.In this way when user is after user terminal logins successfully, first in point of oneself
With in vehicle list, selecting a vehicle to be attached, the vehicle can remotely be supervised by cloud platform after successful connection
Control.It, can be with cloud platform interaction as long as client terminal or vehicle termination are verified by authentication and secure handshake.
By using above scheme, the embodiment of the present invention reaches following technical effect:
(1) technological advancement: future utilizes the prospect of the new technologies such as the base station edge -5G--cloud;Lead the core of industry development
Heart technology.
(2) automobile industry case is rich: understanding automobile industry demand and scene;With automobile industry analog simulation, map,
Big data ecosystem and community are closely integrated.
(3) global view and global deployment: understand the advanced framework and deployment mode of international vehicle enterprise;For the following lucky whole world
It is laid out the facilities environment that lays the foundation.
(4) stability and maturity: good user experience and stable enabling capabilities;Support energy when large scale deployment
Power, concurrent capability guarantee.
(5) it develops convenience: being applicable in the exploitation of multilingual and equipment;Abundant and understandable document and code sample.
And the seamless interfacing communication of intelligent network connection automobile and AWS public cloud is realized, vehicle and cloud platform use certificate
Secure handshake mechanism is authenticated, the safety of data communication transmission is ensure that, unified data service is developed in AWS public cloud
Platform is completed acquisition, transmission, storage, analysis, machine learning, real time monitoring and the visualization of vehicle big data, is made full use of
The service ability and service quality of AWS public cloud use cloud hosting environment, the cloud service of controlled cluster environment and core
PAAS middleware, the research and development of finishing service level-systems and platform building, so that the system of research and development be made quickly to land and online test run
Row.When people is outside vehicle, passes through intelligent mobile terminal and realize vehicle remote calling function.Including remote path planning, instruction control vehicle,
Vehicle location, vehicle operation monitoring in real time, vehicle are operating abnormally detection, the analysis of vehicle operation troubles diagnosis code, vehicle drive peace
Full scoring etc. is supported to carry out auxiliary verifying to Vehicular intelligent environment sensing, path planning, decision, control scheduling algorithm.To intelligence
The functions such as vehicle location, monitoring and event handling, V2N when can drive operation in demand, take the lead in carrying out function realization, quickly fall
Ground.Collected data when operation can be driven, to provide input when intelligent driving exploitation, vehicle history initial data (uses AWS
Snowball) the offline upper conduction cloud platform of storage, as algorithm training sample;Cloud platform is conducted in vehicle real time data, as
Test of heuristics verifies sample.Vehicle remote monitoring platform based on AWS realizes a series of general utility functions, can be multiplexed into other
Project, such as AVP, TJP, HWP, CityRoad etc..As basic service platform, join the scientific research of automobile national level for various intelligent networks
Project provides common support environment.
Method, system and display be not intrinsic with any certain computer, virtual system or other equipment provided herein
It is related.Various general-purpose systems can also be used together with teachings based herein.As described above, this kind of system institute is constructed
It is required that structure be obvious.In addition, the present invention is also not directed to any particular programming language.It should be understood that can use
Various programming languages realize summary of the invention described herein, and the description done above to language-specific is to disclose
Preferred forms of the invention.
In the instructions provided here, numerous specific details are set forth.It is to be appreciated, however, that implementation of the invention
Example can be practiced without these specific details.In some instances, well known method, structure is not been shown in detail
And technology, so as not to obscure the understanding of this specification.
Similarly, it should be understood that in order to simplify the disclosure and help to understand one or more of the various inventive aspects,
Above in the description of exemplary embodiment of the present invention, each feature of the invention is grouped together into single implementation sometimes
In example, figure or descriptions thereof.However, the disclosed method should not be interpreted as reflecting the following intention: i.e. required to protect
Shield the present invention claims features more more than feature expressly recited in each claim.More precisely, as following
Claims reflect as, inventive aspect is all features less than single embodiment disclosed above.Therefore,
Thus the claims for following specific embodiment are expressly incorporated in the specific embodiment, wherein each claim itself
All as a separate embodiment of the present invention.
Ability module those skilled in the art, which are appreciated that, can carry out adaptivity to the module in the equipment in embodiment
Ground changes and they is arranged in one or more devices different from this embodiment.Can in embodiment module or
Unit or assembly is combined into a module or unit or component, and furthermore they can be divided into multiple submodule or subelements
Or sub-component.Other than such feature and/or at least some of process or unit exclude each other, it can use and appoint
What combination is to all features disclosed in this specification (including adjoint claim, abstract and attached drawing) and so disclosed
All process or units of any method or apparatus are combined.Unless expressly stated otherwise, this specification is (including adjoint
The claims, abstract and drawings) disclosed in each feature can with an alternative feature that provides the same, equivalent, or similar purpose come
Instead of.
In addition, the technical staff of ability module is it is understood that although some embodiments in this include in other embodiments
Included certain features rather than other feature, but the combination of the feature of different embodiments means to be in model of the invention
Within enclosing and form different embodiments.For example, in the following claims, embodiment claimed it is any
One of can in any combination mode come using.
Various component embodiments of the invention can be implemented in hardware, or to run on one or more processors
Software module realize, or be implemented in a combination thereof.Ability module it will be appreciated by the skilled person that can make in practice
It is realized with microprocessor or digital signal processor (DSP) some or all in device according to an embodiment of the present invention
The some or all functions of component.The present invention be also implemented as a part for executing method as described herein or
Whole device or device programs (for example, computer program and computer program product).It is such to realize journey of the invention
Sequence can store on a computer-readable medium, or may be in the form of one or more signals.Such signal can
To download from internet website, perhaps it is provided on the carrier signal or is provided in any other form.
It should be noted that the above-mentioned embodiments illustrate rather than limit the invention, and ability
Building block technique personnel can be designed alternative embodiment without departing from the scope of the appended claims.In claim
In, any reference symbol between parentheses should not be configured to limitations on claims.Word "comprising" is not excluded for depositing
In element or step not listed in the claims.Word "a" or "an" located in front of the element do not exclude the presence of it is multiple this
The element of sample.The present invention can by means of include several different elements hardware and by means of properly programmed computer come
It realizes.In the unit claims listing several devices, several in these devices can be through the same hardware
It embodies.The use of word first, second, and third does not indicate any sequence.These words can be construed to
Title.
Claims (10)
1. a kind of vehicle management system, which is characterized in that the system comprises: car networking core services module, message parse mould
Block, cloud-apply data interaction module and data module;
The car networking core services module, for carrying out data interaction, and the vehicle end that reception vehicle end is sent with user terminal
Data verify the vehicle end data, if being verified, the trip data in the vehicle end data is sent to described disappear
Cease parsing module;
The trip data after parsing is sent to the number for parsing the trip data by the message resolution module
According to module;
The data module, for store and or the processing trip data;
The cloud-applies data interaction module, the user's request sent for obtaining the user terminal, from the data module
The trip data corresponding with user request is obtained, the trip data is sent to the user terminal, to feed back
State user's request.
2. system according to claim 1, which is characterized in that the system also includes: model training module, the data
Module includes abnormality detection data module;
The abnormality detection data module, for the status data in the trip data after storing and resolving, the status number
According to the abnormal state information for characterizing the corresponding vehicle of the trip data;
The model training module, for obtaining the status data from the abnormality detection data module, with the state
Data are as training sample, training abnormality detection model, the abnormality detection model after storage training;
The abnormality detection data module is also used to the abnormality detection mould after being trained in the model training module
Type carries out abnormality detection the status data by the abnormality detection model after training, stores abnormality detection result.
3. system according to claim 1, which is characterized in that the data module further includes fault diagnosis module;
The fault diagnosis module, for the fault data in the trip data after storing and resolving, wherein the number of faults
According to the health status for characterizing the corresponding vehicle of the trip data.
4. system according to claim 1, which is characterized in that the data module further includes driver safety score data
Module;
The driver safety score data module, for based on the vehicle driving data in the trip data after parsing,
Driver safety traveling scoring is carried out, and stores appraisal result.
5. system according to claim 1, which is characterized in that the data module further includes vehicle driving module;
The vehicle driving module, for the running data in the trip data after storing and resolving, the running data table
Levy the trip state of the corresponding vehicle of the trip data.
6. system according to claim 1, which is characterized in that the system also includes raw data module, the vehicle connection
The vehicle end data is sent to the raw data module if being also used to be verified by net core services module;
The raw data module, for being stored to the vehicle end data.
7. system according to claim 6, which is characterized in that the system also includes vehicle registration module, the vehicle connection
Net core services module does not pass through if being also used to verify, the vehicle end data is sent to the vehicle registration module;
The vehicle registration module, for being registered based on the vehicle end data to the corresponding vehicle of the vehicle end data.
8. system according to claim 1, which is characterized in that the system also includes video stream media service modules;
The video stream media service module, for store vehicle termination transmission video media-data, and with the user terminal
Carry out video media-data interaction.
9. system according to claim 2, which is characterized in that the system also includes announcement service modules;
The abnormality detection data module is also used to when the abnormality detection result, which is, abnormal, sends exception information to institute
State announcement service module;
The announcement service module will be carried out for being packaged to the exception information when receiving the exception information
The exception information after encapsulation is sent to the car networking core services module.
10. system according to claim 9, which is characterized in that the message resolution module is also used to, institute after parsing
When to state trip data be vehicle body status information, prompt information is sent to the announcement service module;
The announcement service module is also used to be packaged the vehicle body status information, the vehicle body after being packaged
Status information is sent to the car networking core services module.
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