Data processing method, device, equipment and computer storage medium

Abstract

The present application discloses a data processing method, apparatus, device, and computer storage medium. Upon receiving a user orchestration request, the orchestration interface of the target service is displayed, wherein the target service includes standardized and packaged cloud data; the user's orchestration operation on the target service on the orchestration interface is received, and customized service data is obtained, wherein the customized service data includes at least one target service data; and the customized service data is displayed. According to an embodiment of the present application, a user can obtain the road condition information they want to query and make decisions based on the obtained road condition information, thereby improving the reliability of vehicle decision-making results.

Description

Technical Field

[0001] The present application belongs to the field of data processing technology, and in particular relates to a data processing method. Background Art

[0002] Service-Oriented Architecture (SOA) services are the basic units of the integrated vehicle-road-cloud cloud control system. Each service has independent functions. The cloud will fully integrate perception capabilities into services and provide them to third parties. Services are accessed through a unified interface and support combined expansion.

[0003] Existing SOA services mainly focus on remote control, over-the-air technology (OTA) upgrades, and software configuration. They have little intervention in vehicle decision-making, and the services are mostly used in fixed scenarios, resulting in low reliability of vehicle decision-making. Summary of the Invention

[0004] The embodiments of the present application provide a data processing method, apparatus, device and computer storage medium, which can.

[0005] In a first aspect, an embodiment of the present application provides a data processing method, the method comprising:

[0006] Upon receiving a user orchestration request, the orchestration interface of the target service is displayed, where the target service includes standardized and packaged cloud data;

[0007] Receiving a user's orchestration operation on a target service on an orchestration interface, and obtaining custom service data, wherein the custom service data includes at least one target service data;

[0008] Display custom service data.

[0009] In one possible embodiment, before displaying the orchestration interface of the target service, the method further includes:

[0010] Acquire vehicle-roadside perception data, which includes vehicle-side perception data and road test perception data. The vehicle-road test perception data includes perception data in different formats;

[0011] Convert the vehicle-roadside sensing data into a predetermined data format to obtain cloud data;

[0012] The cloud data is packaged in a standardized manner according to the interface of the target service to obtain the cloud data of multiple standardized packaged target services.

[0013] In one possible embodiment, converting the vehicle-roadside sensing data into a predetermined data format to obtain cloud data includes:

[0014] The vehicle-roadside perception data is converted into the same predetermined data format to obtain cloud data.

[0015] In one possible embodiment, before converting the vehicle-roadside sensing data into a predetermined data format to obtain cloud data, the method further includes:

[0016] Delete invalid vehicle-roadside perception data.

[0017] In one possible embodiment, receiving a user's orchestration operation on a target service on an orchestration interface and obtaining customized service data includes:

[0018] Receive user operations on modifying the target service, setting trigger conditions, and setting target service priority on the orchestration interface;

[0019] In response to the modification operation, the trigger condition setting operation, and the target service priority setting operation, custom service data is generated.

[0020] In one possible embodiment, the target service data includes at least one of real-time traffic information from a vehicle perspective and real-time traffic information from a geographic area perspective.

[0021] In a possible embodiment, the invention is characterized in that it further includes:

[0022] Send custom service data to the terminal device so that the terminal can display the custom service data.

[0023] In a second aspect, an embodiment of the present application provides a data processing device, the device comprising:

[0024] A display module is used to display the orchestration interface of the target service when receiving a user orchestration request, where the target service includes standardized and packaged cloud data;

[0025] An orchestration module is configured to receive an orchestration operation of a target service by a user on an orchestration interface and obtain custom service data, wherein the custom service data includes at least one target service data;

[0026] Display module, used to display custom service data.

[0027] In one possible embodiment, the device further includes:

[0028] An acquisition module is used to acquire vehicle-roadside perception data before displaying the orchestration interface of the target service. The vehicle-roadside perception data includes vehicle-side perception data and roadside perception data. The vehicle-roadside perception data includes perception data in different formats.

[0029] A format conversion module is used to convert the vehicle-roadside sensing data into a predetermined data format to obtain cloud data;

[0030] The encapsulation module is used to encapsulate the cloud data in a standardized manner according to the interface of the target service, thereby obtaining the cloud data of multiple standardized encapsulated target services;

[0031] In one possible embodiment, the format conversion module is specifically configured to:

[0032] The vehicle-roadside perception data is converted into the same predetermined data format to obtain cloud data.

[0033] In one possible embodiment, the device further includes:

[0034] The deletion module is used to delete invalid vehicle-roadside perception data before converting the vehicle-roadside perception data into a predetermined data format and obtaining cloud data.

[0035] In one possible embodiment, the orchestration module includes:

[0036] A receiving unit, configured to receive a user's modification operation on a target service, a trigger condition setting operation, and a target service priority setting operation on the orchestration interface;

[0037] The custom service data generating unit is configured to generate custom service data in response to a modification operation, a trigger condition setting operation, and a target service priority setting operation.

[0038] In one possible embodiment, the present invention further includes:

[0039] The sending module is used to send the customized service data to the terminal device so that the terminal can display the customized service data.

[0040] In a third aspect, an embodiment of the present application provides a data processing device, the device comprising:

[0041] a processor and a memory storing computer program instructions;

[0042] When the processor executes the computer program instructions, any one of the above data processing methods is implemented.

[0043] In a fourth aspect, an embodiment of the present application provides a computer storage medium,

[0044] Computer program instructions are stored on the computer-readable storage medium, and when the computer program instructions are executed by the processor, any one of the above-mentioned data processing methods is implemented.

[0045] In a fifth aspect, an embodiment of the present application provides a computer program product, characterized in that when the instructions in the computer program product are executed by a processor of an electronic device, the electronic device is able to execute any one of the above-mentioned data processing methods.

[0046] The data processing method, apparatus, device, and computer storage medium of the embodiments of the present application, upon receiving a user orchestration request, display a target service orchestration interface, receive a user's orchestration operation on the orchestration interface for the target service, obtain customized service data, including at least one target service data, and display the customized service data for user decision-making. Target services are orchestrated as needed to obtain customized service data and display the customized service data, enabling users to obtain desired road condition information and make decisions based on the obtained road condition information, thereby improving the reliability of vehicle decision-making results. Orchestrations through the orchestration interface enable user-defined service scenarios, overcoming the limitations of fixed scenarios. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following is a brief introduction to the drawings required for use in the embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0048] Figure 1 This is a flow chart of a data processing method provided by one embodiment of the present application;

[0049] Figure 2 is a flowchart of a data processing method provided by another embodiment of the present application;

[0050] Figure 3 is a flowchart of a data processing method provided by yet another embodiment of the present application;

[0051] Figure 4 is a structural diagram of a data processing device provided in yet another embodiment of the present application;

[0052] Figure 5 It is a structural diagram of a data processing device provided in yet another embodiment of the present application. DETAILED DESCRIPTION

[0053] The features and exemplary embodiments of various aspects of the present application will be described in detail below. In order to make the purpose, technical solutions and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are only intended to explain the present application, rather than to limit the present application. For those skilled in the art, the present application can be implemented without the need for some of these specific details. The following description of the embodiments is merely to provide a better understanding of the present application by illustrating the examples of the present application.

[0054] It should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article, or device comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or elements inherent to such process, method, article, or device. In the absence of further limitations, the elements defined by the phrase "comprising..." do not exclude the presence of other identical elements in the process, method, article, or device comprising the elements.

[0055] Service-Oriented Architecture (SOA) services are the foundational building blocks of integrated vehicle-road-cloud cloud control systems. Each service has independent functionality. The cloud integrates all perception capabilities into services, making them available to third parties. Services are accessed through a unified interface and support combined expansion. Existing SOA services primarily focus on remote control, over-the-air (OTA) upgrades, and software configuration. These services rarely intervene in vehicle decision-making and are often used in fixed scenarios, resulting in low reliability in vehicle decision-making.

[0056] In order to solve the problems of the prior art, the embodiments of the present application provide a data processing method, apparatus, device and computer storage medium. The data processing method provided by the embodiments of the present application is first introduced below.

[0057] Figure 1 A flow chart of a data processing method provided in one embodiment of the present application is shown.

[0058] like Figure 1 As shown, the data processing method provided in the embodiment of the present application includes the following steps:

[0059] S110 : When receiving a user orchestration request, displaying an orchestration interface of a target service, where the target service includes standardized and packaged cloud data.

[0060] Here, the target service may include real-time information of traffic participants. Traffic participants may be static or dynamic, their range may be variable, their positions may be variable or constant, and the number of target services may be fixed or constant.

[0061] In some embodiments, the choreography interface may be a visual scene choreography interface, wherein the scene may be a scene including traffic status information.

[0062] When a user's orchestration request for a target service is received, the orchestration interface of the target service is displayed. The target service may include standardized packaged cloud data, where the cloud data corresponds to the target service and may be saved in advance or acquired in real time.

[0063] S120: Receive a user's orchestration operation on a target service on an orchestration interface, and obtain customized service data, where the customized service data includes at least one target service data.

[0064] Here, the custom service data can be a combination of multiple target service data, wherein the target service corresponds to the standardized packaged cloud data, the target service data can include the target service interface corresponding to the target service data, the standardized packaged cloud data, and the custom service data can include at least one standardized packaged cloud data.

[0065] The user's orchestration operation on the target service on the orchestration interface is received to obtain customized service data. The customized service data can be a plurality of target service data obtained after orchestration according to user needs through the orchestration of the target service.

[0066] S130: Display customized service data.

[0067] In some embodiments, the target service data that is orchestrated according to the user's needs through the orchestration of the target service can be presented to the user.

[0068] In this way, the target service can be orchestrated according to needs to obtain customized service data, and the customized service data can be displayed so that users can obtain the road condition information they want to query and make decisions based on the obtained road condition information, thereby improving the reliability of vehicle decision-making results. Orchestration through the orchestration interface can realize user-defined service scenarios and solve the limitations of fixed scenario use.

[0069] Based on this, in some embodiments, receiving a user's orchestration operation on a target service on an orchestration interface and obtaining customized service data may include:

[0070] Receive user operations on modifying the target service, setting trigger conditions, and setting target service priority on the orchestration interface;

[0071] In response to the modification operation, the trigger condition setting operation, and the target service priority setting operation, custom service data is generated.

[0072] In some embodiments, a modification operation of a target service by a user on an orchestration interface is received, wherein the modification operation includes adding, deleting, modifying, or checking a target service list.

[0073] In some embodiments, a user's operation of setting a trigger condition for a target service on an orchestration interface is received, wherein the trigger condition includes an active trigger and a passive trigger, and the trigger condition is an identification condition for starting the display of the custom service data.

[0074] In some embodiments, the repetitive triggering condition is deleted.

[0075] In some embodiments, a target service priority setting operation of a target service by a user on an orchestration interface is received. In the case of a conflict between target services, target service data with a higher target service priority is preferentially selected.

[0076] In this way, users can set up personalized services according to their needs.

[0077] Based on this, in some embodiments, the target service data may include at least one of real-time traffic condition information from a vehicle perspective and real-time traffic condition information from a geographic area perspective.

[0078] In some embodiments, real-time traffic information from a vehicle's perspective may include, but is not limited to, real-time information on all dynamic and static obstacles in front of the vehicle, real-time information on all dynamic and static obstacles behind the vehicle, real-time information on all obstacles on the vehicle's path, and real-time information on all obstacles beyond the vehicle's visual range. Real-time traffic information from a geographic area's perspective may include, but is not limited to, real-time information on all traffic participants within a circular area or a polygonal area.

[0079] In some embodiments, the targeted service data may also include real-time information of pedestrian participants.

[0080] In this way, users can obtain real-time traffic information from multiple perspectives through customized service data as needed.

[0081] In some embodiments, as Figure 2 Before displaying the orchestration interface of the target service, the method may further include:

[0082] S101. Acquire vehicle-roadside perception data. The vehicle-roadside perception data includes vehicle-side perception data and roadside perception data. The vehicle-roadside perception data includes perception data in different formats.

[0083] Among them, vehicle-roadside perception data can be obtained from multiple collection devices, such as radars, cameras, and sensors.

[0084] S102: Convert the vehicle-roadside sensing data into a predetermined data format to obtain cloud data.

[0085] Here, the perception data in different formats are converted into a predetermined format in the cloud, and the conversion may include, but is not limited to, format conversion, time zone conversion, and coordinate conversion.

[0086] S103 : Standardize and encapsulate the cloud data according to the interface of the target service to obtain a plurality of standardized and encapsulated cloud data of the target service.

[0087] Among them, according to the atomic capability of cloud-based perception decision-making, cloud data is standardized and packaged according to the interface of the target service to obtain cloud data of multiple standardized packaged target services. The interface here can be split into interfaces with smaller granularity.

[0088] In this way, the cloud can obtain real-time information of traffic participants, package it according to different services, and users can obtain it from the cloud as needed.

[0089] Based on this, in some embodiments, converting the vehicle-roadside sensing data into a predetermined data format to obtain cloud data may include:

[0090] The vehicle-roadside perception data is converted into the same predetermined data format to obtain cloud data.

[0091] In this way, the vehicle-roadside sensing data is converted into the same predetermined data format to achieve data format unification.

[0092] Based on this, in some embodiments, before converting the vehicle-roadside sensing data into a predetermined data format to obtain cloud data, the method may further include:

[0093] Delete invalid vehicle-roadside perception data.

[0094] In some embodiments, the vehicle road test perception data acquired through multiple acquisition devices may include invalid data, and such invalid data or duplicate data is deleted.

[0095] In this way, interference from invalid data is eliminated.

[0096] In some embodiments, as Figure 3 , the method may further include:

[0097] S140: Send the customized service data to the terminal device, so that the terminal displays the customized service data.

[0098] In some embodiments, the terminal device may be a terminal device on a vehicle.

[0099] In this way, displaying customized service data on the terminal device makes it more convenient for users to use customized data, allowing users to obtain the road condition information they want to query and make decisions based on the obtained road condition information, thereby improving the reliability of vehicle decision-making results.

[0100] Based on the data processing method provided in the above embodiments, the present application also provides a specific implementation of a data processing device. Please refer to the following embodiments.

[0101] See first Figure 4 , the data processing device 400 provided in the embodiment of the present application includes:

[0102] Display module 410, configured to display an orchestration interface of a target service upon receiving a user orchestration request, wherein the target service includes standardized and packaged cloud data;

[0103] The orchestration module 420 is configured to receive an orchestration operation of a target service by a user on the orchestration interface and obtain custom service data, wherein the custom service data includes at least one target service data;

[0104] The display module 430 is used to display customized service data.

[0105] Based on this, in some embodiments, the apparatus 400 further includes:

[0106] An acquisition module is used to acquire vehicle-roadside perception data before displaying the orchestration interface of the target service. The vehicle-roadside perception data includes vehicle-side perception data and roadside perception data. The vehicle-roadside perception data includes perception data in different formats.

[0107] A format conversion module is used to convert the vehicle-roadside sensing data into a predetermined data format to obtain cloud data;

[0108] The encapsulation module is used to encapsulate the cloud data in a standardized manner according to the interface of the target service, thereby obtaining the cloud data of multiple standardized encapsulated target services;

[0109] Based on this, in some embodiments, the format conversion module is specifically used to:

[0110] The vehicle-roadside perception data is converted into the same predetermined data format to obtain cloud data.

[0111] Based on this, in some embodiments, the apparatus 400 further includes:

[0112] The deletion module is used to delete invalid vehicle-roadside perception data before converting the vehicle-roadside perception data into a predetermined data format and obtaining cloud data.

[0113] Based on this, in some embodiments, the orchestration module includes:

[0114] A receiving unit, configured to receive a user's modification operation on a target service, a trigger condition setting operation, and a target service priority setting operation on the orchestration interface;

[0115] The custom service data generating unit is configured to generate custom service data in response to a modification operation, a trigger condition setting operation, and a target service priority setting operation.

[0116] Based on this, in some embodiments, the apparatus 400 further includes:

[0117] The sending module is used to send the customized service data to the terminal device so that the terminal can display the customized service data.

[0118] Each module of the data processing device provided in the embodiment of the present application can realize Figure 1 、 Figure 2 and Figure 3 The functions of each step of the data processing method are provided and can achieve the corresponding technical effects. For the sake of brevity, they will not be repeated here.

[0119] Figure 5 A schematic diagram of the hardware structure of a data processing device provided in an embodiment of the present application is shown.

[0120] The data processing device may include a processor 501 and a memory 502 storing computer program instructions.

[0121] 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.

[0122] The memory 502 may include a large capacity memory for data or instructions. By way of example and not limitation, the memory 502 may include a hard disk drive (HDD), a floppy disk drive, a flash memory, an optical disk, a magneto-optical disk, a magnetic tape, or a universal serial bus (USB) drive, or a combination of two or more of these. Where appropriate, the memory 502 may include removable or non-removable (or fixed) media. Where appropriate, the memory 502 may be inside or outside the integrated gateway disaster recovery device. In a specific embodiment, the memory 502 is a non-volatile solid-state memory.

[0123] The memory may include a read-only memory (ROM), a random access memory (RAM), a magnetic disk storage medium device, an optical storage medium device, a flash memory device, an electrical, optical or other physical / tangible memory storage device. Thus, generally, the memory includes one or more tangible (non-transitory) computer-readable storage media (e.g., a memory device) encoded with software including computer-executable instructions, and when the software is executed (e.g., by one or more processors), it is operable to perform the operations described with reference to the method according to an aspect of the present disclosure.

[0124] The processor 501 implements any one of the data processing methods in the above embodiments by reading and executing computer program instructions stored in the memory 502 .

[0125] In one example, the data processing device may further include a communication interface 503 and a bus 510. Figure 5 As shown, the processor 501, the memory 502, and the communication interface 503 are connected via a bus 510 and communicate with each other.

[0126] The communication interface 503 is mainly used to implement communication between various modules, devices, units and / or equipment in the embodiments of the present application.

[0127] The bus 510 includes hardware, software, or both that couples the components of the data processing device to each other. By way of example and not limitation, the bus may include an Accelerated Graphics Port (AGP) or other graphics bus, an Extended Industry Standard Architecture (EISA) bus, a Front Side Bus (FSB), a Hyper Transport (HT) interconnect, an Industry Standard Architecture (ISA) bus, an InfiniBand interconnect, a Linear Predictive Coding (LPC) bus, a memory bus, a MicroChannel Architecture (MCA) bus, a Peripheral Component Interconnect (PCI) bus, a PCI-Express (Peripheral Component Interconnect-X, PCI-X) bus, a Serial Advanced Technology Attachment (SATA) bus, a Video Electronics Standards Association Local Bus (VESA Local Bus, VLB) bus, or other suitable buses or a combination of two or more of these. Where appropriate, the bus 510 may include one or more buses. Although embodiments herein describe and illustrate a particular bus, this application contemplates any suitable bus or interconnect.

[0128] The data processing device can execute the data processing method in the embodiment of the present application when receiving the user's arrangement request, thereby realizing the combination Figures 1 to 3 Describe the data processing methods.

[0129] In addition, in conjunction with the data processing methods in the above embodiments, embodiments of the present application may provide a computer storage medium for implementation. The computer storage medium stores computer program instructions; when the computer program instructions are executed by a processor, any one of the data processing methods in the above embodiments is implemented.

[0130] The present application also provides a computer program product. When the instructions in the computer program product are executed by a processor of an electronic device, the electronic device executes the various processes of implementing any one of the above-mentioned data processing method embodiments.

[0131] It should be understood that the present application is not limited to the specific configurations and processes described above and illustrated in the figures. For the sake of brevity, a detailed description of known methods is omitted here. In the above embodiments, several specific steps are described and illustrated as examples. However, the method process of the present application is not limited to the specific steps described and illustrated. Those skilled in the art can make various changes, modifications, and additions, or change the order of the steps after understanding the spirit of the present application.

[0132] The functional blocks shown in the above-described block diagram can be implemented as hardware, software, firmware or a combination thereof. When implemented in hardware, they can be, for example, electronic circuits, application specific integrated circuits (ASICs), appropriate firmware, plug-ins, function cards, etc. When implemented in software, the elements of the present application are programs or code segments used to perform the required tasks. The programs or code segments can be stored in a machine-readable medium, or transmitted on a transmission medium or communication link via a data signal carried in a carrier wave. "Machine-readable medium" can include any medium capable of storing or transmitting information. Examples of machine-readable media include electronic circuits, semiconductor memory devices, read-only memories (ROMs), flash memories, erasable read-only memories (EROMs), floppy disks, compact disc read-only memories (CD-ROMs), optical discs, hard disks, optical fiber media, radio frequency (RF) links, etc. The code segments can be downloaded via computer networks such as the Internet and intranets.

[0133] 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, this application is not limited to the order of the above steps. In other words, the steps can be performed in the order mentioned in the embodiments, or in a different order, or several steps can be performed simultaneously.

[0134] Aspects of the present disclosure have been described above with reference to the flowcharts and / or block diagrams of the methods, devices (systems) and computer program products according to the embodiments of the present disclosure. It should be understood that each box in the flowchart and / or block diagram and the combination of each box in the flowchart and / or block diagram can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer or other programmable data processing device to produce a machine so that these instructions executed by the processor of the computer or other programmable data processing device enable the implementation of the function / action specified in one or more boxes of the flowchart and / or block diagram. Such a processor can be, but is not limited to, a general-purpose processor, a special-purpose processor, a special application processor or a field programmable logic circuit. It is also understood that each box in the block diagram and / or flowchart and the combination of the boxes in the block diagram and / or flowchart can also be implemented by dedicated hardware that performs the specified function or action, or can be implemented by a combination of dedicated hardware and computer instructions.

[0135] The above is only a specific implementation method of the present application. Those skilled in the art can clearly understand that for the convenience and brevity of description, the specific working processes of the systems, modules and units described above can refer to the corresponding processes in the aforementioned method embodiments, and will not be repeated here. It should be understood that the scope of protection of the present application is not limited to this. Any technician familiar with this technical field can easily think of various equivalent modifications or replacements within the technical scope disclosed in this application, and these modifications or replacements should be included in the scope of protection of this application.

Claims

1. A data processing method, characterized in that: include: Upon receiving a user orchestration request, obtaining vehicle-roadside perception data, the vehicle-road test perception data including vehicle-side perception data and road test perception data, the vehicle-road test perception data including perception data in different formats, converting the vehicle-roadside perception data into a predetermined data format to obtain cloud data, performing standardized packaging on the cloud data according to an interface of a target service to obtain cloud data of a plurality of standardized packaged target services, and displaying an orchestration interface for the target service, wherein the target service includes the standardized packaged cloud data; receiving a user's orchestration operation on the target service on the orchestration interface, obtaining custom service data, wherein the custom service data includes at least one target service data, the target service data including real-time traffic information from a vehicle perspective, real-time traffic information from a geographic area perspective, and real-time information of pedestrian participants, the orchestration operation including a modification operation on the target service, a trigger condition setting operation, and a target service priority setting operation; The custom service data is displayed.

2. The data processing method according to claim 1, wherein: The converting the vehicle-roadside sensing data into a predetermined data format to obtain cloud data includes: The vehicle-roadside sensing data is converted into a same predetermined data format to obtain cloud data.

3. The data processing method according to claim 1, wherein: Before converting the vehicle-roadside sensing data into a predetermined data format to obtain cloud data, the method further includes: Delete invalid vehicle-roadside perception data.

4. The data processing method according to claim 1, wherein: The receiving the user's orchestration operation on the target service on the orchestration interface to obtain the customized service data includes: Receive a user's modification operation, trigger condition setting operation, and target service priority setting operation on the target service on the orchestration interface; In response to the modification operation, the trigger condition setting operation, and the target service priority setting operation, customized service data is generated.

5. The data processing method according to claim 1, wherein: Also includes: The customized service data is sent to a terminal device so that the terminal device displays the customized service data.

6. A data processing device, characterized in that: The device comprises: A display module is configured to, upon receiving a user orchestration request, obtain vehicle-roadside perception data, the vehicle-road test perception data including vehicle-side perception data and road test perception data, the vehicle-road test perception data including perception data in different formats, convert the vehicle-roadside perception data into a predetermined data format to obtain cloud data, perform standardized encapsulation on the cloud data according to an interface of a target service to obtain cloud data of a plurality of standardized encapsulated target services, and display an orchestration interface of the target service, wherein the target service includes the standardized encapsulated cloud data; an orchestration module, configured to receive an orchestration operation on the target service from a user on an orchestration interface, and obtain custom service data, wherein the custom service data includes at least one target service data, the target service data including real-time traffic information from a vehicle perspective, real-time traffic information from a geographic area perspective, and real-time information of pedestrian participants, and the orchestration operation includes a modification operation on the target service, a trigger condition setting operation, and a target service priority setting operation; A display module is used to display the customized service data.

7. The data processing device according to claim 6, characterized in that The format conversion module is specifically used for: The vehicle-roadside sensing data is converted into a same predetermined data format to obtain cloud data.

8. The data processing device according to claim 6, characterized in that The device further comprises: The deletion module is used to delete invalid vehicle-roadside perception data before converting the vehicle-roadside perception data into a predetermined data format to obtain cloud data.

9. The data processing device according to claim 6, characterized in that The arrangement module includes: A receiving unit, configured to receive a user's modification operation, trigger condition setting operation, and target service priority setting operation on the target service on the orchestration interface; The customized service data generating unit is configured to generate customized service data in response to the modification operation, the trigger condition setting operation, and the target service priority setting operation.

10. The data processing device according to claim 6, wherein: Also includes: The sending module is used to send the customized service data to the terminal device so that the terminal can display the customized service data.

11. A data processing device, characterized in that: The device includes: a processor and a memory storing computer program instructions; When the processor executes the computer program instructions, the data processing method according to any one of claims 1 to 5 is implemented.

12. A computer-readable storage medium, characterized in that The computer-readable storage medium stores computer program instructions, and when the computer program instructions are executed by a processor, the data processing method according to any one of claims 1 to 5 is implemented.

13. A computer program product, characterized in that When the instructions in the computer program product are executed by a processor of an electronic device, the electronic device is enabled to perform the data processing method according to any one of claims 1 to 5.

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