CN112671839A - Data processing method and device, cloud system and storage medium - Google Patents
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Abstract
The application discloses a data processing method, a data processing device, a cloud system and a storage medium. The method specifically comprises the following steps: receiving vehicle information data sent by at least one cloud platform by utilizing a standard interface of an access cloud gateway according to a preset cloud gateway data access protocol; analyzing the vehicle information data according to a preset protocol to obtain analyzed vehicle information data, wherein the vehicle information data comprises the type of the vehicle information data; and sending the analyzed vehicle information data to a central cloud server, so that the central cloud server stores the vehicle information data according to the type of the vehicle information data. According to the embodiment of the application, data transmission between each platform in the cloud system and the central cloud can be achieved in a standardized mode, user data isolation and protection are facilitated, and data transmission safety is improved.
Description
Technical Field
The present application belongs to the field of network technologies, and in particular, to a data processing method, apparatus, cloud system, and storage medium.
Background
With the development of modern information technology, the role of a cloud control system combining the intelligent networking automobile and a big data technology is more and more important. The cloud control system of the intelligent networked automobile mainly provides dynamic basic data such as vehicle operation, infrastructure, traffic environment, traffic management and the like for the intelligent automobile and users, management and service mechanisms and the like of the intelligent automobile, has basic service mechanisms such as data storage, data operation and maintenance, big data analysis, cloud computing, information safety and the like, and becomes a support system supporting the actual application requirements of the intelligent networked automobile.
The intelligent network association generates mass data, and the mass data are interacted and stored in the positions of each node, the edge cloud, the center cloud and the like. Each cloud platform in the cloud control system is mostly an open service platform, and each cloud platform is in data intercommunication with a data source and other industry platforms, so that the data are easy to attack and crack, sensitive data of a user can be leaked, and great risk potential hazards exist.
Disclosure of Invention
The embodiment of the application provides a data processing method, a data processing device, data processing equipment and a computer storage medium, which can realize standardized data transmission between each platform and a central cloud in a cloud system, are favorable for user data isolation and protection, and improve the security of data transmission.
In a first aspect, an embodiment of the present application provides a data processing method, where the method is applied to a cloud system of an intelligent networked automobile, and includes:
receiving vehicle information data sent by at least one cloud platform by utilizing a standard interface of an access cloud gateway according to a preset cloud gateway data access protocol;
analyzing the vehicle information data according to a preset protocol to obtain analyzed vehicle information data, wherein the vehicle information data comprises the type of the vehicle information data;
sending the analyzed vehicle information data to a central cloud server, so that the central cloud server stores the vehicle information data according to the type of the vehicle information data;
the cloud platform comprises a vehicle information cloud platform and a third-party service platform related to the vehicle.
Optionally, before the sending the parsed vehicle information data to the central cloud server, the method further includes:
and performing data cleaning on the analyzed vehicle information data.
Optionally, the method further comprises:
receiving a data distribution instruction sent by a central cloud;
and sending the vehicle information data to the corresponding cloud platform according to the data distribution instruction.
Optionally, the preset cloud gateway data access protocol includes: communication protocols and data protocols.
Optionally, the vehicle information data includes vehicle operation data, roadside sensing data, vehicle bus data, and regional awareness fusion data.
Optionally, the vehicle information cloud platform includes a regional cloud platform, an edge cloud platform, and a vehicle networking platform.
Optionally, the third-party service platform related to the vehicle includes one or more of a road condition observation platform, a traffic supervision platform, a map service platform, a satellite data observation platform, and a server time service platform.
In a second aspect, an embodiment of the present application provides a data processing apparatus, where the apparatus is applied to a cloud system of an intelligent networked automobile, and the apparatus includes:
the receiving module is used for receiving vehicle information data sent by at least one cloud platform by utilizing a standard interface of an access cloud gateway according to a preset cloud gateway data access protocol;
the analysis module is used for analyzing the vehicle information data according to a preset protocol to obtain analyzed vehicle information data, and the vehicle information data comprises the type of the vehicle information data;
the sending module is used for sending the analyzed vehicle information data to a central cloud server so that the central cloud server can store the vehicle information data according to the type of the vehicle information data;
the cloud platform comprises a vehicle information cloud platform and a third-party service platform related to the vehicle.
In a third aspect, an embodiment of the present application provides a data processing system, where a cloud system includes: the system comprises a cloud platform, a cloud gateway and a central cloud server;
the cloud gateway is configured to perform the data processing method according to any one of the first aspect and the optional first aspect.
In a fourth aspect, the present application provides a computer storage medium having computer program instructions stored thereon, where the computer program instructions, when executed by a processor, implement the method of data processing according to any one of the first aspect and the first aspect optional.
The data processing method, the data processing device, the data processing equipment and the computer storage medium are applied to a cloud system of an intelligent networked automobile, and through unifying vehicle information data uploaded by different cloud platforms and carrying out data transmission with a central cloud, standardized data transmission between each platform and the central cloud in the cloud system can be realized, user data isolation and protection are facilitated, and data transmission safety is improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the embodiments of the present application will be briefly described below, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic flow chart diagram of a method of data processing provided by an embodiment of the present application;
FIG. 2 is a cloud system of a data intelligent networked automobile provided by an embodiment of the application;
FIG. 3 is a schematic flow chart diagram of a method of data processing according to another embodiment of the present application;
FIG. 4 is a schematic diagram of a data processing apparatus according to an embodiment of the present application;
fig. 5 is a hardware structural diagram of a data processing device according to an embodiment of the present application.
Detailed Description
Features and exemplary embodiments of various aspects of the present application will be described in detail below, and in order to make objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application. It will be apparent to one skilled in the art that the present application may be practiced without some of these specific details. The following description of the embodiments is merely intended to provide a better understanding of the present application by illustrating examples thereof.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
For a large city with millions of cars, the daily data volume of networked cars is expected to reach the range of tens of TB to 1 PB. The standardized communication protocol and the data sharing interface between different cloud platforms related to the networked automobile are not uniform, the technology of uniform conversion is lacked, the interconnection and the interoperation can not be widely realized, and the real-time communication in the automatic driving process can not be supported. Moreover, each cloud platform in the cloud control system is mostly an open service platform, and each cloud platform performs data interaction with a data source and other industry platforms respectively. Therefore, the data are easy to attack and crack, which can cause leakage of user sensitive data and has great risk hidden trouble.
In order to solve the prior art problems, embodiments of the present application provide a data processing method, an apparatus, a device, and a computer storage medium, which are applied to a cloud system of an intelligent networked automobile, and data transmission is performed with a central cloud by unifying vehicle information data uploaded by different cloud platforms, so that data transmission between each platform and the central cloud in the cloud system can be standardized, which is beneficial to user data isolation and protection, and improves the security of data transmission. The following first describes a data processing method provided in an embodiment of the present application.
The following describes a method, an apparatus, a device, and a computer storage medium for data processing according to embodiments of the present application with reference to the accompanying drawings. It should be noted that these examples are not intended to limit the scope of the present disclosure.
First, a method for processing data provided in the embodiment of the present application is described.
Fig. 1 is a schematic flow chart of a method for processing data according to an embodiment of the present application. As shown in fig. 1, in the embodiment of the present application, the data processing method may be applied to a cloud system of an intelligent networked automobile, and specifically includes:
s101: and receiving vehicle information data sent by at least one cloud platform by utilizing a standard interface of the access cloud gateway according to a preset cloud gateway data access protocol.
In some embodiments of the present application, as shown in fig. 2, fig. 2 is a cloud system of a data intelligent networked automobile provided in an embodiment of the present application. The cloud system of the intelligent networked automobile can comprise a cloud platform, a cloud gateway and a central cloud.
Here, the cloud platform may be, for example, a data aggregation, distribution, computing storage center. The cloud platform can comprise a vehicle information cloud platform and a third party service platform related to the vehicle. Exemplary vehicle information cloud platforms may include regional clouds, edge clouds, and car networking platforms. The third-party service platform related to the vehicle can comprise one or more of a road condition observation platform, a traffic supervision platform, a map service platform, a satellite data observation platform and a server time service platform.
S102: and analyzing the vehicle information data according to a preset protocol to obtain the analyzed vehicle information data, wherein the vehicle information data comprises the type of the vehicle information data.
In some embodiments of the present application, after receiving vehicle information data uploaded by each cloud platform, the cloud gateway may analyze the received vehicle information data according to a preset protocol. Illustratively, the predetermined protocol may be a common protocol for data parsing.
S103: and sending the analyzed vehicle information data to a central cloud server, so that the central cloud server stores the vehicle information data according to the type of the vehicle information data.
In some embodiments of the present application, the cloud gateway may upload the analyzed vehicle information data to a server of the central cloud using a standard interface. The central cloud can store the vehicle information data uploaded by the cloud gateway according to the type of the vehicle information data. The central cloud may store the vehicle information data to the corresponding subject zone.
In summary, the data processing method in the embodiment of the application is applied to a cloud system of an intelligent networked automobile, and by unifying vehicle information data uploaded by different cloud platforms and performing data transmission with a central cloud, data transmission between each platform and the central cloud in the cloud system can be realized in a standardized manner, which is beneficial to user data isolation and protection, and improves the security of data transmission.
In some embodiments of the present application, fig. 3 is a flowchart illustrating a method for data processing according to another embodiment of the present application. As shown in fig. 3, the method for data processing in the foregoing embodiment may be implemented as the following steps:
s301: and receiving vehicle information data sent by at least one cloud platform by utilizing a standard interface of the access cloud gateway according to a preset cloud gateway data access protocol.
In some embodiments of the application, in a cloud-controlled intelligent traffic scene, because vehicle information data are numerous, high in complexity and large in scale, each cloud platform can be accessed to a central cloud through a cloud gateway. The cloud platform can be a regional cloud, an edge cloud, a vehicle networking platform, and a third party business platform related to a vehicle.
Here, the preset cloud gateway data access protocol includes: communication protocols and data protocols. Specifically, communication protocols such as TCP, UDP, HTTP, WEBSOCKET and the like are supported on the communication level; and at the data protocol level, MQTT, JSON, SOAP and custom binary protocols are supported. Through the mutual collocation of the two layers, the data access of the Internet of things terminal and the protocol can be realized.
In some embodiments of the present application, the cloud gateway may access data of each cloud platform through a standard interface. Moreover, the data traffic can be uniformly loaded to the cloud gateway by using soft load balancing or hard load balancing.
In some embodiments of the present application, the vehicle information data may include vehicle operation data, roadside sensing data, vehicle bus data, and regional awareness fusion data. For example, the Vehicle information data may be Vehicle bus reporting data, Vehicle sensing reporting data, Vehicle real-time data and sensing data service subscription and push messages, V2X (Vehicle to event, V2X) data, and the like.
In addition, the vehicle information data may further include business data related to the vehicle. The vehicle-related business data may be related data collected from a third party business platform associated with the vehicle.
In some embodiments of the present application, the vehicle information data of the edge cloud may be vehicle self data uploaded through a vehicle cloud gateway and a road cloud gateway, and operation data of the intelligent device such as a road side sensor.
S302: and analyzing the vehicle information data according to a preset protocol to obtain the analyzed vehicle information data, wherein the vehicle information data comprises the type of the vehicle information data.
S303: and performing data cleaning on the analyzed vehicle information data.
S304: and sending the analyzed vehicle information data to a central cloud server, so that the central cloud server stores the vehicle information data according to the type of the vehicle information data.
S305: receiving a data distribution instruction sent by a central cloud;
s306: and sending the vehicle information data to the corresponding cloud platform according to the data distribution instruction.
In some embodiments of the present application, the cloud gateway may implement uploading of new vehicle data and issuing of cloud instructions of the central cloud. Specifically, the cloud gateway may implement operations including communication protocol parsing and transmission, data distribution, instruction reception, and the like.
In some embodiments of the present application, the vehicle information data analyzed by the cloud gateway is sent to the center cloud. The central cloud may save the received vehicle information data into a messaging middleware. Based on this, the problems of "blowout flow rate" and short-term unavailability of downstream services can be effectively addressed.
Illustratively, the message middleware includes Kafka, RabbitMQ, ActiveMQ, and the like. Based on the good throughput performance of Kafka in a distributed environment and the functions of persistence and subscription/publication, in the cloud system of the intelligent networked automobile, the message middleware used is Kafka. In practical application, a proper message middleware can be selected and used according to own requirements.
In some embodiments of the present application, the area of the message middleware for storing the vehicle information data may be divided into a positive partition and a backup partition. The backup partition will fully copy the messages of the positive partition, including additional attribute values such as the number of the messages. And only when the contents of the positive partition and the backup partition are consistent, namely the message is added into the log by all the copies, the message is sent to the corresponding cloud platform. The message sender may also choose whether to wait for notification that the message was submitted, which is determined by the acknowledgement mechanism.
In some embodiments of the present application, the data distribution instruction sent by the central cloud may be generated according to a data request sent by the cloud platform. After receiving the data distribution instruction, the cloud gateway may send the vehicle information data to the corresponding cloud platform according to the data distribution instruction, that is, feed back the vehicle information data corresponding to the sent data request to the platform sending the data request.
In some embodiments of the application, for the stored vehicle information data, the central cloud performs early warning analysis according to an existing rule, and sends an analysis result to the alarm data theme cache so as to send alarm information to a corresponding cloud platform.
In some embodiments of the present application, the central cloud may import the stored vehicle information data into the traffic big database respectively in an asynchronous manner. Based on the data, relevant data can be periodically read from the traffic big database, and various offline report analysis and data mining can be performed.
In summary, the data processing method in the embodiment of the application is applied to a cloud system of an intelligent networked automobile, and the vehicle information data uploaded by different cloud platforms are unified through a cloud gateway to be transmitted with a central cloud, so that data transmission between each platform in the cloud system and the central cloud in a standardized manner can be realized, user data isolation and protection are facilitated, and the security of data transmission is improved.
Moreover, the cloud gateway can realize standardization of data formats, communication protocols and application semantics, has PB-level data processing capacity, and realizes standardized high-performance interconnection of different vehicles, mobile terminals, signal terminals, sensing terminals and different platform systems including traffic, public security, rescue, weather and the like and the cloud control basic platform in the aspects of data exchange and the like. Technologies such as comprehensive perception, communication, calculation and control are achieved, mutual mapping of elements such as vehicles, traffic and environments in a physical space and an information space is achieved based on a standardized communication protocol, and efficient cooperation is achieved through standard interaction between the elements.
The cloud system of the intelligent network-connected automobile based on the cloud gateway can provide enhanced safety early warning and decision suggestion services for traffic participants such as vehicles and pedestrians, provides decision support and cooperative scheduling services for a road network traffic supervision organization, and provides statistical analysis and macroscopic early warning services for government functioning supervision departments.
Based on the data processing method provided by the above embodiment, correspondingly, the application further provides a specific implementation manner of the data processing device. Please see the examples below.
Fig. 4 is a schematic structural diagram of a data processing apparatus according to an embodiment of the present application. As shown in fig. 4, in the embodiment of the present application, the data processing apparatus is applied to a cloud system of an intelligent networked automobile, and specifically includes:
the receiving module 401 is configured to receive vehicle information data sent by at least one cloud platform by using a standard interface of an access cloud gateway according to a preset cloud gateway data access protocol;
an analyzing module 402, configured to analyze the vehicle information data according to a preset protocol to obtain analyzed vehicle information data, where the vehicle information data includes a type of the vehicle information data;
a sending module 403, configured to send the analyzed vehicle information data to a central cloud server, so that the central cloud server stores the vehicle information data according to the type of the vehicle information data; the cloud platform comprises a vehicle information cloud platform and a third-party service platform related to the vehicle.
Each module/unit in the apparatus shown in fig. 4 has a function of implementing each step in fig. 1 and fig. 3, and can achieve the corresponding technical effect, and for brevity, no further description is given here.
In summary, the data processing apparatus in the embodiment of the present application may be configured to execute the data processing method in the above embodiment, and the method is applied to a cloud system of an intelligent internet automobile, and the cloud gateway unifies vehicle information data uploaded by different cloud platforms to perform data transmission with a central cloud, so that data transmission between each platform and the central cloud in the cloud system can be achieved in a standardized manner, which is beneficial to user data isolation and protection, and improves security of data transmission.
Based on the data processing method provided by the above embodiment, correspondingly, the application further provides a specific implementation manner of the data processing device. Please see the examples below.
Fig. 5 shows a hardware structure diagram of a data processing device according to an embodiment of the present application.
The data processing apparatus may comprise a processor 501 and a memory 502 in which computer program instructions are stored.
Specifically, the processor 501 may include a Central Processing Unit (CPU), or an Application Specific Integrated Circuit (ASIC), or may be configured to implement one or more Integrated circuits of the embodiments of the present Application.
The processor 501 reads and executes the computer program instructions stored in the memory 502 to implement the data processing method in any of the above embodiments.
In one example, the data processing device may also include a communication interface 503 and a bus 510. As shown in fig. 5, the processor 501, the memory 502, and the communication interface 503 are connected via a bus 510 to complete communication therebetween.
The communication interface 503 is mainly used for implementing communication between modules, apparatuses, units and/or devices in the embodiments of the present application.
The data processing device may execute the method of data processing in the embodiment of the present application, thereby implementing the method of data processing described in conjunction with fig. 1 and 3.
In addition, in combination with the data processing method in the foregoing embodiments, the embodiments of the present application may provide a computer storage medium to implement. The computer storage medium having computer program instructions stored thereon; the computer program instructions, when executed by a processor, implement a method of data processing as in any of the above embodiments.
It is to be understood that the present application is not limited to the particular arrangements and instrumentality described above and shown in the attached drawings. A detailed description of known methods is omitted herein for the sake of brevity. In the above embodiments, several specific steps are described and shown as examples. However, the method processes of the present application are not limited to the specific steps described and illustrated, and those skilled in the art can make various changes, modifications, and additions or change the order between the steps after comprehending the spirit of the present application.
The functional blocks shown in the above-described structural block diagrams may be implemented as hardware, software, firmware, or a combination thereof. When implemented in hardware, it may be, for example, an electronic circuit, an Application Specific Integrated Circuit (ASIC), suitable firmware, plug-in, function card, or the like. When implemented in software, the elements of the present application are the programs or code segments used to perform the required tasks. The program or code segments may be stored in a machine-readable medium or transmitted by a data signal carried in a carrier wave over a transmission medium or a communication link. A "machine-readable medium" may include any medium that can store or transfer information. Examples of a machine-readable medium include electronic circuits, semiconductor memory devices, ROM, flash memory, Erasable ROM (EROM), floppy disks, CD-ROMs, optical disks, hard disks, fiber optic media, Radio Frequency (RF) links, and so forth. The code segments may be downloaded via computer networks such as the internet, intranet, etc.
It should also be noted that the exemplary embodiments mentioned in this application describe some methods or systems based on a series of steps or devices. However, the present application is not limited to the order of the above-described steps, that is, the steps may be performed in the order mentioned in the embodiments, may be performed in an order different from the order in the embodiments, or may be performed simultaneously.
Aspects of the present disclosure are described above with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the disclosure. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, enable the implementation of the functions/acts specified in the flowchart and/or block diagram block or blocks. Such a processor may be, but is not limited to, a general purpose processor, a special purpose processor, an application specific processor, or a field programmable logic circuit. It will also be understood that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware for performing the specified functions or acts, or combinations of special purpose hardware and computer instructions.
As described above, only the specific embodiments of the present application are provided, and it can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the system, the module and the unit described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again. It should be understood that the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive various equivalent modifications or substitutions within the technical scope of the present application, and these modifications or substitutions should be covered within the scope of the present application.
Claims (10)
1. A data processing method is applied to a cloud system of an intelligent networked automobile, and comprises the following steps:
receiving vehicle information data sent by at least one cloud platform by utilizing a standard interface of an access cloud gateway according to a preset cloud gateway data access protocol;
analyzing the vehicle information data according to a preset protocol to obtain analyzed vehicle information data, wherein the vehicle information data comprises the type of the vehicle information data;
sending the analyzed vehicle information data to a central cloud server, so that the central cloud server stores the vehicle information data according to the type of the vehicle information data;
the cloud platform comprises a vehicle information cloud platform and a third-party service platform related to the vehicle.
2. The method of claim 1, wherein prior to the sending the parsed vehicle information data to a central cloud server, the method further comprises:
and performing data cleaning on the analyzed vehicle information data.
3. The method of claim 1, further comprising:
receiving a data distribution instruction sent by a central cloud;
and sending the vehicle information data to the corresponding cloud platform according to the data distribution instruction.
4. The method of claim 1, wherein the default cloud gateway data access protocol comprises: communication protocols and data protocols.
5. The method of claim 1, wherein the vehicle information data includes vehicle operational data, roadside sensing data, vehicle bus data, and regional awareness fusion data.
6. The method of claim 1, wherein the vehicle information cloud platforms comprise a regional cloud platform, an edge cloud platform, and a vehicle networking platform.
7. The method of claim 1, wherein the third party service platform associated with the vehicle comprises one or more of a road condition observation platform, a traffic supervision platform, a map service platform, a satellite data observation platform, and a server time service platform.
8. A data processing device is applied to a cloud system of an intelligent networked automobile, and comprises:
the receiving module is used for receiving vehicle information data sent by at least one cloud platform by utilizing a standard interface of an access cloud gateway according to a preset cloud gateway data access protocol;
the analysis module is used for analyzing the vehicle information data according to a preset protocol to obtain analyzed vehicle information data, and the vehicle information data comprises the type of the vehicle information data;
the sending module is used for sending the analyzed vehicle information data to a central cloud server so that the central cloud server can store the vehicle information data according to the type of the vehicle information data;
the cloud platform comprises a vehicle information cloud platform and a third-party service platform related to the vehicle.
9. A cloud system of an intelligent networked automobile, the cloud system comprising: the system comprises a cloud platform, a cloud gateway and a central cloud server;
the cloud gateway is used for executing the data processing method of any one of claims 1 to 7.
10. A computer storage medium having computer program instructions stored thereon which, when executed by a processor, implement a method of data processing according to any one of claims 1 to 7.
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Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113423088A (en) * | 2021-06-18 | 2021-09-21 | 安徽星云互联科技有限责任公司 | Information distribution method, device, equipment, system and storage medium |
CN113810486A (en) * | 2021-09-13 | 2021-12-17 | 珠海格力电器股份有限公司 | Internet of things platform docking method and device, electronic equipment and storage medium |
CN113988051A (en) * | 2021-12-29 | 2022-01-28 | 潍柴雷沃重工股份有限公司 | Vehicle data processing system |
CN114553911A (en) * | 2022-01-24 | 2022-05-27 | 深圳市麦谷科技有限公司 | Internet of vehicles control system, method, electronic device and readable storage medium |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104954242A (en) * | 2014-03-26 | 2015-09-30 | 洛克威尔自动控制技术股份有限公司 | Unified data ingestion adapter for migration of industrial data to a cloud platform |
US20170104624A1 (en) * | 2015-10-13 | 2017-04-13 | International Business Machines Corporation | Contextualized analytics platform |
CN109688224A (en) * | 2018-12-28 | 2019-04-26 | 国汽(北京)智能网联汽车研究院有限公司 | A kind of intelligent network connection automobile cloud control platform architecture |
CN109756548A (en) * | 2018-01-24 | 2019-05-14 | 启迪云控(北京)科技有限公司 | Intelligent network joins automobile cloud control basic platform data processing method, system and device |
CN110971567A (en) * | 2018-09-29 | 2020-04-07 | 上海博泰悦臻网络技术服务有限公司 | Vehicle, cloud server, vehicle equipment, media device and data integration method |
CN111064787A (en) * | 2019-12-18 | 2020-04-24 | 奇瑞汽车股份有限公司 | Internet of vehicles service content fusion platform |
-
2020
- 2020-12-11 CN CN202011439518.7A patent/CN112671839A/en active Pending
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104954242A (en) * | 2014-03-26 | 2015-09-30 | 洛克威尔自动控制技术股份有限公司 | Unified data ingestion adapter for migration of industrial data to a cloud platform |
US20170104624A1 (en) * | 2015-10-13 | 2017-04-13 | International Business Machines Corporation | Contextualized analytics platform |
CN109756548A (en) * | 2018-01-24 | 2019-05-14 | 启迪云控(北京)科技有限公司 | Intelligent network joins automobile cloud control basic platform data processing method, system and device |
CN110971567A (en) * | 2018-09-29 | 2020-04-07 | 上海博泰悦臻网络技术服务有限公司 | Vehicle, cloud server, vehicle equipment, media device and data integration method |
CN109688224A (en) * | 2018-12-28 | 2019-04-26 | 国汽(北京)智能网联汽车研究院有限公司 | A kind of intelligent network connection automobile cloud control platform architecture |
CN111064787A (en) * | 2019-12-18 | 2020-04-24 | 奇瑞汽车股份有限公司 | Internet of vehicles service content fusion platform |
Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113423088A (en) * | 2021-06-18 | 2021-09-21 | 安徽星云互联科技有限责任公司 | Information distribution method, device, equipment, system and storage medium |
CN113810486A (en) * | 2021-09-13 | 2021-12-17 | 珠海格力电器股份有限公司 | Internet of things platform docking method and device, electronic equipment and storage medium |
CN113988051A (en) * | 2021-12-29 | 2022-01-28 | 潍柴雷沃重工股份有限公司 | Vehicle data processing system |
CN114553911A (en) * | 2022-01-24 | 2022-05-27 | 深圳市麦谷科技有限公司 | Internet of vehicles control system, method, electronic device and readable storage medium |
CN114553911B (en) * | 2022-01-24 | 2024-06-04 | 深圳市麦谷科技有限公司 | Internet of vehicles control system, method, electronic equipment and readable storage medium |
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