CN111431983A - Data processing method and device for Adasis service and electronic equipment - Google Patents
Data processing method and device for Adasis service and electronic equipment Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/56—Provisioning of proxy services
- H04L67/565—Conversion or adaptation of application format or content
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C5/00—Registering or indicating the working of vehicles
- G07C5/08—Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
- G07C5/0841—Registering performance data
- G07C5/085—Registering performance data using electronic data carriers
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- G—PHYSICS
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- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C5/00—Registering or indicating the working of vehicles
- G07C5/08—Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
- G07C5/0841—Registering performance data
- G07C5/085—Registering performance data using electronic data carriers
- G07C5/0866—Registering performance data using electronic data carriers the electronic data carrier being a digital video recorder in combination with video camera
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
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- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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Abstract
The invention provides a method and a device for processing data of an Adasis service, electronic equipment and a computer-readable storage medium, wherein the method for processing the data of the Adasis service comprises the following steps: step S1, acquiring cloud data; step S2, obtaining vehicle position and vehicle end data; and step S3, forming standard basic data according to a preset protocol based on the vehicle position, the cloud data and the vehicle-mounted terminal data. According to the data processing method of the Adasis service, the standard basic data required by the Adasis service can be provided by combining the cloud data and the vehicle end data.
Description
Technical Field
The invention relates to the field of vehicles, in particular to a method and a device for processing data of Adasis service, electronic equipment and a computer-readable storage medium.
Background
Problems with data currently used for Advanced Driver assistance Systems (Advanced driving assistance Systems) services:
1. only cloud data is needed, the real-time performance is poor depending on a network, and some data cannot be acquired in real time (such as lane information and obstacle information acquired based on vision);
2. only vehicle-end data is needed, road network data update versions are influenced, and road condition data cannot be acquired in real time;
3. different customers have different requirements on the Adasis information, the Adasis information of different versions is incompatible, the provided data has a scheme customized according to the customer requirements, and also has a scheme realized according to the Adasis V2 version or the Adasis V3 version, the basic kernel is realized by each realizing party, and the data organization needs to be carried out by respectively receiving maps or other related data, so the cost is higher.
Disclosure of Invention
In view of the above, the invention provides a method and an apparatus for processing data of an Adasis service, an electronic device, and a computer-readable storage medium, which can provide complete basic data required by the Adasis service by combining cloud data and vehicle-side data.
In order to solve the above technical problem, in one aspect, the present invention provides a method for processing data of an Adasis service, including the following steps:
step S1, acquiring cloud data;
step S2, obtaining vehicle position and vehicle end data;
and step S3, forming standard basic data according to a preset protocol based on the vehicle position, the cloud data and the vehicle-mounted terminal data.
Further, the cloud data includes one or more of road network data, facility data, road condition data, weather data, point of interest data, and one or more data obtained through data mining and machine learning based on the above data.
Further, the vehicle-end data includes real-time information of the vehicle and the surroundings of the vehicle, and the real-time information of the vehicle and the surroundings of the vehicle includes one or more of vehicle data, driving behavior data, camera identification data, radar identification data, vehicle communication data, interactive data between vehicles, and interactive data between the vehicle and road surface facilities.
Further, the method also comprises the following steps:
step S4, supplementing the cloud data according to the vehicle position and the vehicle end data;
and step S5, forming standard cloud data based on the supplemented cloud data.
Further, still include:
and when the cloud data and the vehicle end data are contradictory, analyzing the vehicle end data in real time, and judging whether to correct the cloud data or not based on an analysis result.
Further, the predetermined protocol includes: data transmission is performed in a standard data type and format.
Further, the method for forming the standard data type and format comprises the following steps:
acquiring types and formats of a plurality of Adasis service provider demand data;
and forming the standard data type and format based on the types and formats of the plurality of requirement data.
In a second aspect, the present invention provides a data processing apparatus for an Adasis service, comprising:
the first acquisition module is used for acquiring cloud data;
the second acquisition module is used for acquiring the vehicle position and vehicle end data;
and the standard basic data generation module is used for forming standard basic data according to a preset protocol based on the vehicle position, the cloud data and the vehicle terminal data.
In a third aspect, the present invention provides an Adasis service architecture, including:
the system comprises a cloud end and a vehicle end, wherein the cloud end is used for providing cloud end data, and the vehicle end is used for providing a vehicle position and vehicle end data;
a data processing device, the data processing device being the data processing device described above;
and the information construction module constructs the message for the Adasis service and pushes the message to the user based on the data provided by the data processing device.
In a fourth aspect, the present invention provides an electronic device for providing data for Adasis services, comprising:
one or more processors;
one or more memories having computer readable code stored therein, which when executed by the one or more processors, causes the processors to perform the steps of:
step S1, acquiring cloud data;
step S2, obtaining vehicle position and vehicle end data;
and step S3, forming standard basic data according to a preset protocol based on the vehicle position, the cloud data and the vehicle-mounted terminal data.
In a fifth aspect, the present invention provides a computer readable storage medium having computer readable code stored therein, which when executed by one or more processors, causes the processors to perform the steps of:
step S1, acquiring cloud data;
step S2, obtaining vehicle position and vehicle end data;
and step S3, forming standard basic data according to a preset protocol based on the vehicle position, the cloud data and the vehicle-mounted terminal data.
The technical scheme of the invention at least has one of the following beneficial effects:
according to the data processing method for the Adasis service, standard basic data are formed according to a preset protocol based on the vehicle position, the cloud data and the vehicle end data, and the standard basic data required by the Adasis service can be provided by combining the cloud data and the vehicle end data;
furthermore, standard cloud data are formed based on the cloud data supplemented by the vehicle-side data, the standard cloud data can be independently provided, the standard cloud data service can be independently operated, data of the Adasis service are provided for other users, and missing data sources are supplemented;
furthermore, the type and format of the requirement data of a plurality of Adasis service providers are obtained, the standard data type and format are formed based on the type and format of the requirement data, data transmission is restricted to be carried out according to the predetermined protocol by the standard data type and format, standard basic data is formed based on the predetermined protocol and is provided for all the Adasis service providers, and the Adasis service providers can obtain the required data based on the standard basic data.
Drawings
Fig. 1 is a flowchart of a processing method for data of an Adasis service according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a data processing apparatus for Adasis services according to an embodiment of the present invention;
FIG. 3 is a diagram of an Adasis service architecture according to an embodiment of the present invention;
fig. 4 is a schematic diagram of an electronic device for providing data for Adasis service according to an embodiment of the present invention.
Detailed Description
The following detailed description of embodiments of the present invention will be made with reference to the accompanying drawings and examples. The following examples are intended to illustrate the invention but are not intended to limit the scope of the invention.
Aiming at the defects of the background technology, the invention analyzes the respective advantages and disadvantages of the vehicle-machine-end data and the cloud-end data through a large amount of data, combines the advantages of the vehicle-machine-end data and the cloud-end data, and provides perfect basic data. The analysis process is as follows:
the advantages of the vehicle-end data are that the speed is high, the data is not limited by network conditions, the disadvantages are that the data is limited by storage space, the computing capability is limited by hardware performance, and the updating cost is high.
The cloud data has the advantages that the cloud data can be updated in time, the limitation of storage space can be basically ignored, the service with higher requirement on computing capacity can be provided, the cloud data is limited by network conditions, and certain delay can be caused due to the influence of network interaction time.
After the data in the two aspects are integrated, the restrictions of the network condition and the local data version can be reduced, and meanwhile, the expansion interface in the two aspects can be provided, so that convenience is provided for subsequent expansion.
Further, the inventor finds that basic data are needed by all Adasis services through a large amount of data analysis, and can be used by all Adasis services to reduce the cost of data collection and arrangement.
Next, a processing method of data for the Adasis service according to an embodiment of the present invention is described with reference to fig. 1.
As shown in fig. 1, a method for processing data of an Adasis service according to an embodiment of the present invention includes:
and step S1, acquiring cloud data.
Further, the cloud data may include one or more of: road network data, facility data, road condition data, weather data, point of interest (POI) data, and data obtained by data mining and machine learning based on one or more of the foregoing data.
The road network data may include:
data on the road network, such as grade, curvature, camera, facility, traffic lights, lane information, etc.;
and data states on the road network, such as traffic light states, lane opening and closing states, traffic jam states, traffic events, traffic restriction events and the like.
Of course, the above is only an optional example, and may also include front and peripheral road network/navigation data, the position of the vehicle on the road network/navigation path, and the like, that is, any data that may be provided by the cloud end, should be understood to be within the scope of the present invention.
Step S2, vehicle position and vehicle end data are acquired.
That is to say, the vehicle position and the vehicle-end data corresponding to the vehicle position are obtained.
Further, the vehicle-end data may include real-time information of the vehicle and the surroundings of the vehicle.
The vehicle and the vehicle periphery real-time information can comprise one or more of the following information:
vehicle own data such as power type, power reserve (oil or/and electricity), license plate number, driver information, etc.;
driving behavior data, such as steering, throttle/brake, gear change, non-driving related application operations (e.g., music), etc.;
camera identification data including in-vehicle identification data, such as user behavior identified by the in-vehicle camera, such as a shift in attention from the front, fatigue status, mood changes, feedback on certain external behaviors or in-vehicle alerts, etc.;
the camera identification data comprises identification data of the periphery of the vehicle, such as a front sidewalk, a front vehicle distance, a vehicle speed, a start-stop state, a road speed limit sign and the like which are identified by the camera;
radar identification data such as blind zone obstacles, peripheral vehicle distances, and the like acquired by radar;
vehicle communication data such as a peripheral vehicle travel plan, a current vehicle speed and steering state, a traffic light facility state, and the like acquired through V2X (vehicle to outside information exchange);
data interactive between vehicles, and data interactive between vehicles and roadway facilities.
Of course, the above is only an optional example, and may also include the type of information (e.g. reminder event, payment information, etc.) actively set or related by the user, i.e. any data that may be provided by the vehicle end, should be understood to be within the scope of the present invention.
And step S3, forming standard basic data according to a preset protocol based on the vehicle position, the cloud data and the vehicle-mounted terminal data.
That is, the cloud data and the vehicle-end data of each position of the vehicle are processed to form standard basic data according to a predetermined protocol.
Therefore, the standard basic data required by the Adasis service can be provided by combining the cloud data and the vehicle end data.
According to some embodiments of the present invention, the method for processing data for the Adasis service further comprises:
and step S4, supplementing the cloud data according to the vehicle position and the vehicle end data.
That is to say, according to the vehicle end data at each position of the vehicle, the part without the cloud end data is supplemented.
For example, when a vehicle runs to an XX intersection, the traffic ahead is congested, but a path can be bypassed, but the cloud data does not have information of the path, and when the vehicle runs on the path, data at a vehicle end can be recorded to supplement the cloud data.
And step S5, forming standard cloud data based on the supplemented cloud data.
That is, the standard cloud data is formed according to the supplemented cloud data and the predetermined protocol.
Further, when the cloud data and the vehicle end data are inconsistent, the vehicle end data are analyzed in real time, and whether the cloud data are corrected or not is judged based on an analysis result.
For example, when a vehicle runs to the XX intersection, the camera observes that the front road section has the identifier that the truck is prohibited from passing through, the vehicle-end data is obtained, the cloud-end data shows that all vehicles in the front road section can pass through, whether the vehicle-end data of other vehicles has similar prompt information or whether the vehicle-end data of the truck exists in the front road section can be analyzed in real time, if the cloud-end data is analyzed to be correct, the cloud-end data is maintained, and if the vehicle-end data is analyzed to be correct, the cloud-end data is corrected.
It should be noted that the above is only an optional example, and the cloud data may also be directly obtained, and standard cloud data is formed according to a predetermined protocol, which should be understood to be within the scope of the present invention.
Therefore, the standard cloud data can be independently provided, the service of the standard cloud data can be independently operated, the data of the Adasis service can be provided for other users, and the missing data sources of the Adasis service can be supplemented.
Optionally, the cloud provides a predetermined protocol at vehicle cruising. Vehicle position is uploaded to the car machine end, and the corresponding road network data and attached information are issued to the high in the clouds, including: switch points, road properties, road network, probable routes, grade, curvature, traffic conditions, cameras and other ancillary equipment.
According to some embodiments of the invention, the predetermined protocol comprises: data transmission is performed in a standard data type and format. That is, data transmission is performed between the vehicle end and the cloud end, between the vehicle end and the terminal, between the vehicle end and other vehicle ends, and the like, according to a standard data type and format.
Optionally, the predetermined protocol may be applicable to vehicle-end data, cloud-end data, and vehicle-end and cloud-end interaction data.
Further, the data type and format of the standard may be formed, for example, by:
acquiring types and formats of a plurality of Adasis service provider demand data;
and forming the standard data type and format based on the types and formats of the plurality of requirement data.
The Adasis service provider may include one or more of the following: customized Adasis service provider, Adasis V2 version Adasis service provider, Adasis V3 version Adasis service provider.
Therefore, through the predetermined protocol, the data transmission of the standard data type and format is restricted, standard basic data is formed based on the predetermined protocol and is provided for all Adasis service providers, and the Adasis service providers can obtain required data based on the standard basic data.
It should be noted that the above is an optional example only, and any Adasis service provider should be understood to be within the scope of the present invention.
Next, a data processing apparatus 1000 for the Adasis service according to an embodiment of the present invention is described with reference to fig. 2.
As shown in fig. 2, a data processing apparatus 1000 for Adasis service according to an embodiment of the present invention includes:
a first obtaining module 1001, configured to obtain cloud data;
a second obtaining module 1002, configured to obtain a vehicle position and vehicle end data;
a standard basic data generating module 1003, configured to form standard basic data according to a predetermined protocol based on the vehicle position, the cloud data, and the vehicle-end data.
Further, the data processing apparatus 1000 for the Adasis service may also perform corresponding steps in the data processing method for the Adasis service, respectively, and a detailed description thereof is omitted herein.
Next, with reference to fig. 3, an Adasis service architecture 1200 according to an embodiment of the present invention is described.
As shown in fig. 3, an Adasis service architecture 1200 according to an embodiment of the present invention.
The method comprises the following steps: the system comprises a cloud end 1201 and a vehicle end 1202, wherein the cloud end 1201 is used for providing cloud end data, and the vehicle end 1202 is used for providing a vehicle position and vehicle end data;
a data processing device 1203, the data processing device 1203 being the data processing device 1000;
a message constructing module 1204, the message constructing module 1204 constructs a message for the Adasis service based on the data provided by the data processing device 1203, and pushes the message to the user.
Alternatively, the user can obtain the Adasis service by recovering data based on the message provided by the message construction module 1204 and using the data.
Further, an electronic device 1400 for providing data for Adasis service according to an embodiment of the present invention is described with reference to fig. 4.
As shown in fig. 4, an electronic device 1400 for providing data for Adasis service according to an embodiment of the present invention includes:
a processor 1401 and a memory 1402, in which memory 1402 computer program instructions are stored, wherein the computer program instructions, when executed by the processor, cause the processor 1401 to perform the steps of:
step S1, acquiring cloud data;
step S2, obtaining vehicle position and vehicle end data;
and step S3, forming standard basic data according to a preset protocol based on the vehicle position, the cloud data and the vehicle-mounted terminal data.
Further, the processor 1401 may also perform corresponding steps in a processing method for data of the Adasis service, and a detailed description thereof is omitted herein.
The various interfaces and devices described above may be interconnected by a bus architecture. A bus architecture may be any architecture that may include any number of interconnected buses and bridges. Various circuits of one or more Central Processing Units (CPUs), represented in particular by processor 1401, and one or more memories, represented by memory 1402, are coupled together. The bus architecture may also connect various other circuits such as peripherals, voltage regulators, power management circuits, and the like. It will be appreciated that a bus architecture is used to enable communications among the components. The bus architecture includes a power bus, a control bus, and a status signal bus, in addition to a data bus, all of which are well known in the art and therefore will not be described in detail herein.
The network interface 1403 may be connected to a network (e.g., the internet, a local area network, etc.), obtain relevant data from the network, and store the relevant data in the hard disk 1405.
The input device 1404 may receive various instructions from an operator and send them to the processor 1401 for execution. The input device 1404 may include a keyboard or a pointing device (e.g., a mouse, trackball, touch pad, or touch screen, among others.
The display device 1406 may display a result obtained by the processor 1401 executing the instruction.
The memory 1402 is used for storing programs and data necessary for operating the operating system, and data such as intermediate results in the calculation process of the processor 1401.
It will be appreciated that the memory 1402 in embodiments of the invention may be either volatile memory or nonvolatile memory, or may include both volatile and nonvolatile memory. The nonvolatile memory may be a Read Only Memory (ROM), a Programmable Read Only Memory (PROM), an Erasable Programmable Read Only Memory (EPROM), an Electrically Erasable Programmable Read Only Memory (EEPROM), or a flash memory. Volatile memory can be Random Access Memory (RAM), which acts as external cache memory. The memory 1402 of the apparatus and methods described herein is intended to comprise, without being limited to, these and any other suitable types of memory.
In some embodiments, memory 1402 stores elements, executable modules or data structures, or a subset thereof, or an expanded set thereof as follows: an operating system 14021 and application programs 14014.
The operating system 14021 includes various system programs, such as a framework layer, a core library layer, a driver layer, and the like, for implementing various basic services and processing hardware-based tasks. The application 14014 includes various applications, such as a Browser (Browser), and the like, for implementing various application services. A program implementing a method according to an embodiment of the invention may be included in the application 14014.
When the processor 1401 calls and executes an application program and data stored in the memory 1402, specifically, a program or an instruction stored in the application 14014, first, cloud data is obtained; then, obtaining vehicle position and vehicle end data; and finally, forming standard basic data according to a preset protocol based on the vehicle position, the cloud data and the vehicle terminal data.
The methods disclosed by the above-described embodiments of the present invention may be applied to the processor 1401, or may be implemented by the processor 1401. Processor 1401 may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by instructions in the form of hardware integrated logic circuits or software in the processor 1401. The processor 1401 may be a general purpose processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components, and may implement or perform the methods, steps, and logic blocks disclosed in embodiments of the present invention. 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 a memory 1402, and a processor 1401 reads information in the memory 1402 and performs the steps of the above method in combination with hardware thereof.
For a hardware implementation, the processing units may be implemented within one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), programmable logic devices (P L D), Field Programmable Gate Arrays (FPGAs), general purpose processors, controllers, microcontrollers, microprocessors, other electronic units designed to perform the functions described herein, or a combination thereof.
For a software implementation, the techniques described herein may be implemented with modules (e.g., procedures, functions, and so on) that perform the functions described herein. The software codes may be stored in a memory and executed by a processor. The memory may be implemented within the processor or external to the processor.
In addition, an embodiment of the present invention further provides a computer-readable storage medium, where a computer program is stored, and when the computer program is executed by a processor, the processor is caused to execute the following steps:
step S1, acquiring cloud data;
step S2, obtaining vehicle position and vehicle end data;
and step S3, forming standard basic data according to a preset protocol based on the vehicle position, the cloud data and the vehicle-mounted terminal data.
Further, the processor may also perform corresponding steps in the processing method for data of the Adasis service, and a detailed description thereof is omitted herein.
Still further, the present invention also provides a program product comprising execution instructions stored in a readable storage medium. At least one processor of an electronic device (which may be, for example, a server, a cloud server, or a part of a server, etc.) may read the execution instruction from a readable storage medium, and execute the execution instruction, so that the data processing apparatus 1000 for Adasis service implements the data processing method for Adasis service provided in the various embodiments described above.
In the several embodiments provided in the present application, it should be understood that the disclosed method and apparatus may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be physically included alone, or two or more units may be integrated into one unit. The integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.
The integrated unit implemented in the form of a software functional unit may be stored in a computer readable storage medium. The software functional unit is stored in a storage medium and includes several instructions to enable a computer device (which may be a personal computer, a server, or a network device) to execute some steps of the transceiving method according to various embodiments of the present invention. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
While the foregoing is directed to the preferred embodiment of the present invention, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention as defined in the appended claims.
Claims (11)
1. A method for processing data for an Adasis service, comprising the steps of:
step S1, acquiring cloud data;
step S2, obtaining vehicle position and vehicle end data;
and step S3, forming standard basic data according to a preset protocol based on the vehicle position, the cloud data and the vehicle-mounted terminal data.
2. The method of claim 1, wherein the cloud data comprises one or more of road network data, facility data, road condition data, weather data, point of interest data, and data obtained by data mining and machine learning based on one or more of the foregoing data.
3. The method as claimed in claim 2, wherein the vehicle-end data comprises real-time vehicle and vehicle surroundings information, and the real-time vehicle and vehicle surroundings information comprises one or more of vehicle self data, driving behavior data, camera identification data, radar identification data, vehicle communication data, vehicle-to-vehicle interaction data, and vehicle-to-road-surface-facility interaction data.
4. The method of claim 3, further comprising the steps of:
step S4, supplementing the cloud data according to the vehicle position and the vehicle end data;
and step S5, forming standard cloud data based on the supplemented cloud data.
5. The data processing method for the Adasis service of claim 4, further comprising:
and when the cloud data and the vehicle end data are contradictory, analyzing the vehicle end data in real time, and judging whether to correct the cloud data or not based on an analysis result.
6. The method of claim 1, wherein the predetermined protocol comprises: data transmission is performed in a standard data type and format.
7. The method of claim 6, wherein the standard data type and format is formed by:
acquiring types and formats of a plurality of Adasis service provider demand data;
and forming the standard data type and format based on the types and formats of the plurality of requirement data.
8. A data processing apparatus for Adasis services, comprising:
the first acquisition module is used for acquiring cloud data;
the second acquisition module is used for acquiring the vehicle position and vehicle end data;
and the standard basic data generation module is used for forming standard basic data according to a preset protocol based on the vehicle position, the cloud data and the vehicle terminal data.
9. An Adasis service architecture, comprising:
the system comprises a cloud end and a vehicle end, wherein the cloud end is used for providing cloud end data, and the vehicle end is used for providing a vehicle position and vehicle end data;
a data processing apparatus according to claim 8;
and the information construction module constructs the message for the Adasis service and pushes the message to the user based on the data provided by the data processing device.
10. An electronic device for providing data for an Adasis service, comprising:
one or more processors;
one or more memories having computer readable code stored therein, which when executed by the one or more processors, causes the processors to perform the steps of:
step S1, acquiring cloud data;
step S2, obtaining vehicle position and vehicle end data;
and step S3, forming standard basic data according to a preset protocol based on the vehicle position, the cloud data and the vehicle-mounted terminal data.
11. A computer readable storage medium having computer readable code stored therein, which when executed by one or more processors, causes the processors to perform the steps of:
step S1, acquiring cloud data;
step S2, obtaining vehicle position and vehicle end data;
and step S3, forming standard basic data according to a preset protocol based on the vehicle position, the cloud data and the vehicle-mounted terminal data.
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