CN108121288B - Internet of vehicles big data system, docking system and method - Google Patents
Internet of vehicles big data system, docking system and method Download PDFInfo
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Abstract
The invention provides a vehicle networking big data system, a docking system and a method, which relate to the technical field of vehicle networking, and the vehicle networking big data system comprises: the vehicle networking big data platform is in communication connection with the data docking platform; the Internet of vehicles big data platform is used for acquiring vehicle data uploaded by the data source; the data docking platform comprises a docking server and a plurality of docking components connected with the docking server; each docking component is in communication connection with the user side through a specified docking mode; the docking server is used for searching vehicle data in the Internet of vehicles big data platform, generating a data packet and sending the data packet to the user side in a specified docking mode. The vehicle networking big data system, the docking system and the docking method provided by the invention can be docked with the user side, so that the user can acquire data in the vehicle networking big data platform, the flexibility of the vehicle networking big data system is improved, and the experience degree of the user is also improved.
Description
Technical Field
The invention relates to the technical field of Internet of vehicles, in particular to an Internet of vehicles big data system, a docking system and a docking method.
Background
With the development of communication technology and the abundance of demand, the application scenarios of wireless communication are becoming more and more extensive, wherein a more typical application scenario is internet of vehicles (Telematics). The vehicle networking is that vehicles can participate in wireless communication, wireless communication and information exchange between vehicles, vehicle and roadbed units, vehicle and network, vehicle and person, vehicle and pedestrian, vehicle and internet and the like are realized through wireless communication technology, and more intelligent traffic management, more intelligent information exchange and intelligent vehicle control are realized. In addition, the appearance of the car networking not only facilitates the traveling of people, but also can promote the safety and the economic performance of the car.
However, most of the existing vehicle networking platforms can only provide data services for the interior of the platform, and data consumers are difficult to acquire data in the vehicle networking platform for consumption statistics, so that great inconvenience is brought to the data consumers, and the experience degree of users is reduced.
Disclosure of Invention
In view of this, the present invention provides a big data system of internet of vehicles, a docking system and a method thereof, so as to alleviate the technical problem that the data consumer is inconvenient by the platform of internet of vehicles in the prior art, which results in low user experience.
In a first aspect, an embodiment of the present invention provides a vehicle networking big data system, including: the vehicle networking big data platform is in communication connection with the data docking platform; the Internet of vehicles big data platform is used for acquiring vehicle data uploaded by the data source; the data docking platform comprises a docking server and a plurality of docking components connected with the docking server; each docking component is in communication connection with the user side through a specified docking mode; the docking component is used for receiving a data acquisition request sent by a user side, extracting a docking object identifier carried in the data acquisition request and sending the docking object identifier to the docking server; the docking server is used for receiving the docking object identification, searching vehicle data consistent with the data acquisition request in the Internet of vehicles big data platform, generating a data packet, and sending the data packet to the user side in a specified docking mode.
With reference to the first aspect, an embodiment of the present invention provides a first possible implementation manner of the first aspect, where the docking manner includes: the system comprises a docking object identifier, a communication protocol and a data type which are matched with the docking object identifier, wherein the data type comprises: data format and business rule definition; the butt joint component is also used for acquiring a butt joint object identifier issued by the butt joint server, actively establishing butt joint with a user side corresponding to the butt joint object identifier through a communication protocol, receiving a data type sent by the user side and sending the data type to the butt joint server; the docking server is further used for receiving and storing the data types, sending the data types to the Internet of vehicles big data platform and obtaining vehicle data from the Internet of vehicles big data platform.
With reference to the first possible implementation manner of the first aspect, an embodiment of the present invention provides a second possible implementation manner of the first aspect, where the data docking platform further includes a statistics module connected to the docking server; the statistical module is used for counting the data packets according to a preset time period and sending a statistical result to the docking server; the docking server is further used for sending the statistical result to the user side.
With reference to the first possible implementation manner of the first aspect, an embodiment of the present invention provides a third possible implementation manner of the first aspect, where the data docking platform further includes an encryption module connected to the docking server; the encryption module is used for encrypting the data packet according to a specified encryption protocol and sending the encryption protocol and the data packet after encryption to the docking server; the docking server is further used for sending the encryption protocol and the data packet after encryption processing to the user side in a specified docking mode.
With reference to the first possible implementation manner of the first aspect, an embodiment of the present invention provides a fourth possible implementation manner of the first aspect, where the internet of vehicles big data platform includes a data access layer, a data preprocessing layer, a data storage layer, and a data analysis layer; the data access layer comprises a communication data gateway, is connected with a data source through the communication data gateway and receives vehicle data uploaded by the data source in real time; the data preprocessing layer comprises a distributed processing unit, the distributed processing unit is connected with the communication data gateway, and is used for preprocessing vehicle data and storing the preprocessed vehicle data in the data storage layer; and the data analysis layer is used for receiving the data types sent by the docking server and acquiring the vehicle data from the data storage layer according to the service rule definition.
With reference to the fourth possible implementation manner of the first aspect, an embodiment of the present invention provides a fifth possible implementation manner of the first aspect, where the data storage layer includes a plurality of distributed storage databases, and is used to perform distributed storage on vehicle data.
With reference to the fourth possible implementation manner of the first aspect, an embodiment of the present invention provides a sixth possible implementation manner of the first aspect, where the internet of vehicles big data platform further includes an application system layer, and the application system layer is connected to the client and is used to develop and maintain the internet of vehicles big data platform.
With reference to the first aspect, an embodiment of the present invention provides a seventh possible implementation manner of the first aspect, where the data docking platform further includes a visualization interface connected to the docking server, and is used to develop and maintain the data docking platform.
In a second aspect, an embodiment of the present invention further provides a vehicle networking big data docking system, where the docking system includes the vehicle networking big data system of the first aspect, and further includes a user side; and the user side is in communication connection with the Internet of vehicles big data system.
In a third aspect, an embodiment of the present invention further provides a vehicle networking big data docking method, where the method is applied to the vehicle networking big data docking system in the second aspect, and the method includes: the Internet of vehicles big data system receives a data acquisition request sent by a user side through a docking component, and extracts a docking object identifier carried in the data acquisition request; and the Internet of vehicles big data system searches vehicle data consistent with the data acquisition request in the Internet of vehicles big data platform according to the docking object identification, generates a data packet and sends the data packet to the user side in a specified docking mode.
The embodiment of the invention has the following beneficial effects:
according to the vehicle networking big data system, the docking system and the method provided by the embodiment of the invention, communication can be established with the user terminal through the docking assembly of the data docking platform, the data acquisition request sent by the user terminal is received, the docking object identifier carried in the data acquisition request is extracted, and the docking object identifier is sent to the docking server, so that the docking server searches vehicle data consistent with the data acquisition request from the vehicle networking big data platform, generates the data packet, and sends the data packet to the user terminal through the specified docking mode to complete docking with the user terminal, so that the user can acquire the data in the vehicle networking big data platform, the flexibility of the vehicle networking big data system is increased, convenience is brought to the user, and the experience degree of the user is improved.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
In order to make the aforementioned and other objects, features and advantages of the present invention comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a schematic structural diagram of a big data system of the internet of vehicles according to an embodiment of the present invention;
FIG. 2 is a schematic structural diagram of another Internet of vehicles big data system provided by the embodiment of the invention;
fig. 3 is a block diagram of a vehicle networking big data docking system according to an embodiment of the present invention;
fig. 4 is a flowchart of a method for interfacing big data of the internet of vehicles according to an embodiment of the present invention;
fig. 5 is a block diagram of a server according to an embodiment of the present invention.
Detailed Description
To make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is apparent that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In order to facilitate understanding of the embodiment, a detailed description is first given of the internet of vehicles big data system disclosed in the embodiment of the present invention.
The first embodiment is as follows:
the embodiment of the invention provides a big data system of a vehicle networking, such as a schematic structural diagram of the big data system of the vehicle networking shown in fig. 1, which comprises the following components: the car networking big data platform 10 and the data docking platform 20 are in communication connection, and the car networking big data platform 10 and the data docking platform 20 are in communication connection.
Specifically, the internet of vehicles big data platform 10 is used for acquiring vehicle data uploaded by a data source; the data docking platform 20 comprises a docking server 201 and a plurality of docking assemblies 202 connected with the docking server 201; each docking component is in communication connection with the user side through a specified docking mode.
The docking component is used for receiving a data acquisition request sent by a user side, extracting a docking object identifier carried in the data acquisition request and sending the docking object identifier to the docking server; the docking server is used for receiving the docking object identification, searching vehicle data consistent with the data acquisition request in the Internet of vehicles big data platform, generating a data packet, and sending the data packet to the user side in a specified docking mode.
According to the vehicle networking big data system provided by the embodiment of the invention, communication can be established with the user terminal through the docking component of the data docking platform, the data acquisition request sent by the user terminal is received, the docking object identifier carried in the data acquisition request is extracted, and the docking object identifier is sent to the docking server, so that the docking server searches vehicle data consistent with the data acquisition request from the vehicle networking big data platform, generates a data packet, and sends the data packet to the user terminal through a specified docking mode, docking with the user terminal is completed, and a user can acquire the data in the vehicle networking big data platform.
Specifically, there are a plurality of docking assemblies, for convenience of description, fig. 1 only shows three docking assemblies, and the number of the specific docking assemblies may be set according to an actual use situation, which is not limited in this embodiment of the present invention.
In a specific implementation, the data docking platform may create a plurality of docking assemblies, each of which includes an assigned docking manner, and further, the docking manner according to the embodiment of the present invention includes: the system comprises a docking object identifier, a communication protocol and a data type which are matched with the docking object identifier, wherein the data type comprises: data format and business rule definition; after the docking component is created, the docking component is connected with a user side of the docking object according to the docking object identifier, wherein the user side is a third party docking object; after the butt joint is completed, the butt joint assembly sends data meeting the data format and the service rule definition through a communication protocol, and data management is carried out on a third party butt joint object.
Specifically, the third party docking object may be a company user, or a third party user such as an individual user who has a need for vehicle data, and in order to dock with the data docking platform, the third party user may log in the data docking platform through an appointed user terminal, register the third party user as a legal third party docking object, dock with the data docking platform through an appointed docking manner, or receive an active docking request sent by the data docking platform, and establish docking.
Therefore, the docking component is further configured to obtain a docking object identifier issued by the docking server, actively establish docking with the user side corresponding to the docking object identifier through the communication protocol, receive the data type sent by the user side, and send the data type to the docking server; the docking server is further used for receiving and storing the data types and sending the data types to the Internet of vehicles big data platform, so that the Internet of vehicles big data platform generates data packets according to the data types.
In a specific implementation, the identifier of the docking object may be information of a person in charge of a company, such as a name, a mobile phone number, an identity card number, and the like, and may also be unique information that can be distinguished and marked, and further, the communication Protocol may be set according to a requirement of a third party for docking an object, for example, a TCP/IP (Transmission control Protocol/Internet Protocol) Protocol is used, so as to facilitate data Transmission and information management, and communicate with operating systems and different hardware architectures of different third party docking objects, and the communication Protocol may use an open system interconnection Protocol, which is based on an actual use condition.
The data format refers to a data format of vehicle data, and can be a video format, an audio format, or offline bus data, real-time bus data sent by a vehicle-mounted terminal, and the like, and can be specifically set according to the data use requirement of a third party docking object; meanwhile, the service rule definition can also be set according to the data use requirement of the third party docking object, and can include processes, specifications, strategies and the like in service operation so as to ensure the use requirement of the third party docking object.
On the basis of fig. 1, fig. 2 shows a schematic structural diagram of another car networking big data system according to an embodiment of the present invention, and specifically, in order to facilitate the docking server to actively establish docking with the user terminal, the data docking platform 20 further includes a visualization interface 203 connected to the docking server 201, for developing and maintaining the data docking platform. During specific implementation, the visual interface can be realized through an upper computer connected with the docking server, and the operation interface of the data docking platform is displayed through the upper computer, so that a worker can develop and maintain the data docking platform conveniently, for example, the docking object identifiers are matched in advance, the matched communication protocol and data types are stored in the docking server, and the docking server and the user side can actively establish docking and the like.
Further, as shown in fig. 2, the data docking platform 20 further includes a statistics module 204 connected to the docking server 201; the statistical module is used for counting the data packets according to a preset time period and sending a statistical result to the docking server; the docking server is further used for sending the statistical result to the user side so as to realize the statistics of the data requirements of the docking objects at regular intervals and increase the rigor of the car networking big data system.
Optionally, in order to increase the security of the internet of vehicles big data system, the data docking platform 20 further includes an encryption module 205 connected to the docking server 201; the encryption module is used for encrypting the data packet according to a specified encryption protocol and sending the encryption protocol and the data packet after encryption to the docking server; the docking server is further used for sending the encryption protocol and the data packet after encryption processing to the user side in a specified docking mode. Specifically, the encryption module may refer to a communication Protocol, encrypt and compress a data packet, and then encapsulate the data packet into a data packet designated by a docking object, and then transmit the data packet, and meanwhile, the data docking platform may further integrate with a docking object LDAP (Lightweight Directory Access Protocol) through Cloudera Manager, and configure security audit mechanisms such as KMS and Kerberos provided by Hadoop/Hbase, so as to ensure the security of data.
As shown in fig. 2, in general, the internet of vehicles big data platform 10 includes a data access layer 101, a data preprocessing layer 102, a data storage layer 103 and a data analysis layer 104; communication connection between every data layer, during concrete realization, above-mentioned big data platform of car networking can all set up an independent sub server based on cloud ware realization on every data layer, forms the server cluster, with cloud ware communication.
The data access layer is connected with a data source through the communication data gateway and receives vehicle data uploaded by the data source in real time; the data source can be a vehicle-mounted terminal, the vehicle-mounted terminal is connected with a control bus in a vehicle and collects vehicle data in real time, a part of the vehicle data can be timely transmitted to a vehicle networking big data platform in a wireless communication mode, such as a vehicle running state, a road condition, a weather condition and the like, so as to meet the real-time monitoring of the vehicle state and a fault state, most of the rest data can be stored in a local memory, such as an SD card, and is periodically led into the vehicle networking big data platform so as to be convenient for subsequent deep mining, and specifically, for real-time video stream data, an independent video stream gateway can be adopted and receives the video stream data according to a specified video transmission protocol; for offline data files or video files, the operation may be based on the HTTP (HyperText Transfer Protocol) Protocol.
The data preprocessing layer comprises a distributed processing unit, the distributed processing unit is connected with the communication data gateway, and is used for preprocessing vehicle data and storing the preprocessed vehicle data in a data storage layer; specifically, for vehicle data, in order to ensure that real-time data uploaded at high concurrency can be analyzed in time, the communication data gateway may be connected to a distributed message queue later, the queue throughput is expanded horizontally and dynamically in a mode of adding a server, a distributed stream data processing tool is adopted to decompose data processing procedures such as analysis, decompression, decryption, data stream analysis and the like of a data source, all signal physical quantities are obtained in near real time by means of adding concurrency and the like, and business-related operations such as deduplication, standardization, noise reduction, screening, cleaning and the like may also be added to the data analysis according to actual business requirements, specifically taking actual conditions as the standard, and may refer to related data in the prior art to implement, which is not limited in the embodiment of the present invention.
The data analysis layer is used for receiving the data types sent by the docking server and acquiring the vehicle data from the data storage layer according to the business rule definition. Generally, the data analysis layer may include data analysis tools of the internet of vehicles big data platform, such as simple data statistics and retrieval, real-time data processing based on streaming data processing, machine learning and statistical algorithm tools, etc., to assist in completing the docking service with the user terminal.
Further, in order to facilitate the storage of mass vehicle data by the Internet of vehicles big data platform, the data storage layer comprises a plurality of distributed storage databases, such as a distributed big data frame Hadoop, for distributed storage of the vehicle data.
In order to manage the car networking big data platform conveniently, as shown in fig. 2, the car networking big data platform further includes an application system layer 105, the application system layer 105 is in communication connection with the data layers, and meanwhile, the application system layer is connected with a client for developing and maintaining the car networking big data platform, wherein the client can be arranged in a management department of the car networking big data platform, so that a worker can conveniently open and close and maintain the car networking big data platform.
Example two:
on the basis of the above embodiment, the embodiment of the present invention further provides a car networking big data docking system, as shown in fig. 3, the docking system includes the car networking big data system 30 described in the first embodiment, and further includes a user terminal 31;
the user side is in communication connection with the Internet of vehicles big data system and is in butt joint with the Internet of vehicles big data system through the data butt joint platform.
In a specific implementation, there may be a plurality of the above-mentioned clients, and for convenience of illustration, only three clients are shown in fig. 3. The number of the specific clients is subject to the actual use condition, and the embodiment of the present invention is not limited thereto.
Further, an embodiment of the present invention further provides a method for docking big data in a vehicle networking, where the method is applied to the system for docking big data in a vehicle networking provided in the above embodiment, and as shown in fig. 4, the method includes the following steps:
step S402, the Internet of vehicles big data system receives a data acquisition request sent by a user side through a docking component, and extracts a docking object identifier carried in the data acquisition request;
and S404, searching a data packet matched with the identification of the docking object in the Internet of vehicles big data platform by the Internet of vehicles big data system according to the identification of the docking object, and sending the data packet to a user side in a specified docking mode.
The vehicle networking big data docking system and the docking method provided by the embodiment of the invention have the same technical characteristics as the vehicle networking big data system provided by the embodiment, so that the same technical problems can be solved, and the same technical effect can be achieved.
It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working process of the car networking big data docking system and the docking method described above may refer to the corresponding process in the foregoing embodiments, and details are not described herein again.
Further, an embodiment of the present invention further provides a server, where each data layer of the car networking big data platform and the docking server of the data docking platform may be implemented by the server, and specifically, as shown in fig. 5, a structural block diagram of the server includes: the system comprises a processor 500, a memory 501, a bus 502 and a communication interface 503, wherein the processor 500, the communication interface 503 and the memory 501 are connected through the bus 502; the processor 500 is used to execute executable modules, such as computer programs, stored in the memory 501.
The Memory 501 may include a high-speed Random Access Memory (RAM) and may also include a non-volatile Memory (non-volatile Memory), such as at least one disk Memory. The communication connection between the network element of the system and at least one other network element is realized through at least one communication interface 503 (which may be wired or wireless), and the internet, a wide area network, a local network, a metropolitan area network, and the like can be used.
Bus 502 can be an ISA bus, PCI bus, EISA bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one double-headed arrow is shown in FIG. 5, but this does not indicate only one bus or one type of bus.
The memory 501 is configured to store a program, and the processor 500 executes the program after receiving an execution instruction, and the method executed by the internet of vehicles big data docking system disclosed in any embodiment of the present invention may be applied to the processor 500, or implemented by the processor 500.
The processor 500 may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware or instructions in the form of software in the processor 500. The Processor 500 may be a general-purpose Processor, and includes a Central Processing Unit (CPU), a Network Processor (NP), and the like; the device can also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field-Programmable Gate Array (FPGA) or other Programmable logic device, a discrete Gate or transistor logic device, or a discrete hardware component. The various methods, steps and logic blocks disclosed in the embodiments of the present invention may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present invention may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software module may be located in ram, flash memory, rom, prom, or eprom, registers, etc. storage media as is well known in the art. The storage medium is located in the memory 501, and the processor 500 reads the information in the memory 501, and completes the steps of the method in combination with the hardware thereof.
The computer program product of the car networking big data system, the docking system and the method provided by the embodiment of the invention comprises a computer readable storage medium storing program codes, wherein instructions included in the program codes can be used for executing the method described in the previous method embodiment, and specific implementation can be seen in the previous embodiment, and is not described herein again.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art will understand that the following embodiments are merely illustrative of the present invention, and not restrictive, and the scope of the present invention is not limited thereto: any person skilled in the art can modify or easily conceive the technical solutions described in the foregoing embodiments or equivalent substitutes for some technical features within the technical scope of the present disclosure; such modifications, changes or substitutions do not depart from the spirit and scope of the embodiments of the present invention, and they should be construed as being included therein. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. A car networking big data system, characterized by, includes: the system comprises a vehicle networking big data platform and a data docking platform, wherein the vehicle networking big data platform is in communication connection with the data docking platform;
the Internet of vehicles big data platform is used for acquiring vehicle data uploaded by a data source;
the data docking platform comprises a docking server and a plurality of docking components connected with the docking server; each docking assembly is in communication connection with a user side through a specified docking mode;
the docking assembly is used for receiving a data acquisition request sent by the user side, extracting a docking object identifier carried in the data acquisition request, and sending the docking object identifier to the docking server;
the docking server is used for receiving the docking object identifier, searching vehicle data consistent with the data acquisition request in the Internet of vehicles big data platform, generating a data packet, and sending the data packet to the user side in the specified docking mode;
wherein, the butt joint mode includes: the system comprises a docking object identifier, and a communication protocol and a data type which are matched with the docking object identifier, wherein the data type comprises: the data format comprises a video format, an audio format or offline bus data, and the service rule definition comprises a process, a specification and a strategy in service operation.
2. The system of claim 1, wherein the docking component is further configured to obtain the docking object identifier sent by the docking server, actively establish docking with a user side corresponding to the docking object identifier through the communication protocol, receive the data type sent by the user side, and send the data type to the docking server;
the docking server is further used for receiving and storing the data types, sending the data types to the Internet of vehicles big data platform, and obtaining the vehicle data from the Internet of vehicles big data platform.
3. The system of claim 2, wherein the data docking platform further comprises a statistics module connected to the docking server;
the statistical module is used for carrying out statistics on the data packet according to a preset time period and sending a statistical result to the docking server;
the docking server is further configured to send the statistical result to the user side.
4. The system of claim 2, wherein the data docking platform further comprises an encryption module connected to the docking server;
the encryption module is used for encrypting the data packet according to a specified encryption protocol and sending the encryption protocol and the encrypted data packet to the docking server;
the docking server is further configured to send the encryption protocol and the encrypted data packet to the user side in the specified docking manner.
5. The system of claim 2, wherein the internet of vehicles big data platform comprises a data access layer, a data pre-processing layer, a data storage layer and a data analysis layer;
the data access layer comprises a communication data gateway, is connected with a data source through the communication data gateway and receives vehicle data uploaded by the data source in real time;
the data preprocessing layer comprises a distributed processing unit, the distributed processing unit is connected with the communication data gateway, and is used for preprocessing the vehicle data and storing the preprocessed vehicle data in the data storage layer;
and the data analysis layer is used for receiving the data types sent by the docking server and acquiring vehicle data from the data storage layer according to the business rule definition.
6. The system of claim 5, wherein the data storage layer comprises a plurality of distributed storage databases for distributed storage of the vehicle data.
7. The system of claim 5, wherein the Internet of vehicles big data platform further comprises an application system layer, and the application system layer is connected with a client and used for developing and maintaining the Internet of vehicles big data platform.
8. The system of claim 1, wherein the data docking platform further comprises a visualization interface coupled to the docking server for development and maintenance of the data docking platform.
9. A big data docking system of the Internet of vehicles, which is characterized by comprising the big data docking system of the Internet of vehicles according to any one of claims 1 to 8, and a user side;
and the user side is in communication connection with the Internet of vehicles big data system.
10. A vehicle networking big data docking method, which is applied to the vehicle networking big data docking system of claim 9, the method comprising:
the Internet of vehicles big data system receives a data acquisition request sent by a user side through a docking component, and extracts a docking object identifier carried in the data acquisition request;
the Internet of vehicles big data system searches vehicle data consistent with the data acquisition request in the Internet of vehicles big data platform according to the docking object identification, generates a data packet and sends the data packet to a user side in a specified docking mode;
wherein, the butt joint mode includes: the system comprises a docking object identifier, and a communication protocol and a data type which are matched with the docking object identifier, wherein the data type comprises: the data format comprises a video format, an audio format or offline bus data, and the service rule definition comprises a process, a specification and a strategy in service operation.
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