CN110149334A - Vehicle management system - Google Patents

Vehicle management system Download PDF

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Publication number
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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CN
China
Prior art keywords
data
module
vehicle
trip
abnormality detection
Prior art date
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Pending
Application number
CN201910436987.4A
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Chinese (zh)
Inventor
白勍
朱紫阳
王立藩
张彦君
李树
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Zhejiang Geely Holding Group Co Ltd
Zhejiang Geely Automobile Research Institute Co Ltd
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Zhejiang Geely Holding Group Co Ltd
Zhejiang Geely Automobile Research Institute Co Ltd
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Priority to CN201910436987.4A priority Critical patent/CN110149334A/en
Publication of CN110149334A publication Critical patent/CN110149334A/en
Pending legal-status Critical Current

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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L63/00Network architectures or network communication protocols for network security
    • H04L63/08Network architectures or network communication protocols for network security for authentication of entities
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L63/00Network architectures or network communication protocols for network security
    • H04L63/08Network architectures or network communication protocols for network security for authentication of entities
    • H04L63/0823Network architectures or network communication protocols for network security for authentication of entities using certificates
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L63/00Network architectures or network communication protocols for network security
    • H04L63/12Applying verification of the received information
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/12Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W12/00Security arrangements; Authentication; Protecting privacy or anonymity
    • H04W12/009Security arrangements; Authentication; Protecting privacy or anonymity specially adapted for networks, e.g. wireless sensor networks, ad-hoc networks, RFID networks or cloud networks
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W12/00Security arrangements; Authentication; Protecting privacy or anonymity
    • H04W12/06Authentication
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W4/00Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/30Services specially adapted for particular environments, situations or purposes
    • H04W4/40Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P]
    • H04W4/44Services 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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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Computer Security & Cryptography (AREA)
  • Computing Systems (AREA)
  • Computer Hardware Design (AREA)
  • General Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Traffic Control Systems (AREA)

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

Vehicle management system
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.
CN201910436987.4A 2019-05-23 2019-05-23 Vehicle management system Pending CN110149334A (en)

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