CN114339681A - Cloud vehicle road cooperative processing method, system, equipment and storage medium - Google Patents
Cloud vehicle road cooperative processing method, system, equipment and storage medium Download PDFInfo
- Publication number
- CN114339681A CN114339681A CN202210228258.1A CN202210228258A CN114339681A CN 114339681 A CN114339681 A CN 114339681A CN 202210228258 A CN202210228258 A CN 202210228258A CN 114339681 A CN114339681 A CN 114339681A
- Authority
- CN
- China
- Prior art keywords
- cloud
- vehicle
- road
- road cooperative
- communication
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Landscapes
- Traffic Control Systems (AREA)
Abstract
The invention discloses a cloud vehicle road cooperative processing method, a system, equipment and a storage medium, wherein the method comprises the following steps: constructing a closed-loop communication link for cooperative control, wherein the closed-loop communication link comprises communication among all devices in a vehicle, communication between vehicles and communication between the vehicles and a cloud server; monitoring data in the cloud vehicle-road cooperative system; and performing corresponding cloud vehicle-road cooperative processing through cloud vehicle-road cooperative function software according to the closed-loop communication link and the data in the cloud vehicle-road cooperative system. The invention provides a cloud vehicle-road cooperative processing architecture, which integrates vehicles, roads and clouds into a whole by using key technologies such as cloud computing, digital twinning, 5G, artificial intelligence and the like, performs fusion sensing, decision and control, expands the computing capacity of an automatic driving system, improves the utilization rate of computing power resources in the automatic driving system, realizes communication transparency between applications, gets through an information isolated island, and meets the actual requirements of vehicles on safety, energy efficiency and dynamic monitoring and planning of road traffic in the industry.
Description
Technical Field
The invention relates to the technical field of automatic driving, in particular to a cloud vehicle-road cooperative processing method, system, equipment and storage medium.
Background
At present, with the continuous development of artificial intelligence technology and automobile technology, it is hoped that vehicles can replace people to complete more and more driving tasks through intellectualization and networking, and safer, more efficient, more comfortable and more energy-saving driving is realized. In the field of automatic driving, a vehicle road cloud cooperative system is widely used, and provides safety guarantee for automatic driving of vehicles.
In the process of designing and implementing the application, the inventor of the application finds that a cloud vehicle-road cooperative processing system is lacked in the prior art, the cooperative operation of a vehicle end, a road end and a cloud end cannot be effectively realized, and the actual requirements of vehicles on safety and energy efficiency and the dynamic monitoring and planning of road traffic in the industry cannot be met.
The foregoing description is provided for general background information and is not admitted to be prior art.
Disclosure of Invention
The technical problem to be solved by the embodiments of the present invention is to provide a cloud vehicle-road cooperative processing method, system, device and storage medium, which can fill up the blank of a cloud vehicle-road cooperative processing system architecture and solve the problem that the prior art cannot effectively implement cooperative operation of a vehicle end, a road end and a cloud end.
In order to solve the above problem, a first aspect of the embodiments of the present application provides a cloud vehicle-road cooperative processing method, which at least includes the following steps:
constructing a closed-loop communication link for cooperative control, wherein the closed-loop communication link comprises communication among all devices in a vehicle, communication between vehicles and communication between the vehicles and a cloud server;
monitoring data in the cloud vehicle-road cooperative system;
and performing corresponding cloud vehicle-road cooperative processing through cloud vehicle-road cooperative function software according to the closed-loop communication link and the data in the cloud vehicle-road cooperative system.
In a possible implementation manner of the first aspect, the constructing a closed-loop communication link under cooperative control includes:
adopting an Internet of things technology, a digital twinning technology and a differential communication mode to construct a closed-loop communication link for cooperative control;
and connecting vehicle ends to communication links of the side end and the cloud end respectively through the cloud vehicle path and the middleware according to the closed-loop communication link, wherein the communication links comprise communication among all devices in the vehicle, communication among the vehicles and communication among cloud end servers.
In a possible implementation manner of the first aspect, the cloud vehicle-road coordination function software includes an autopilot general framework, a road-end Mirror image, a cloud-end Mirror image, an ecological base application, and a plurality of communication interfaces;
wherein the generic framework for autonomous driving is used to control vehicle perception of surroundings, path planning and autonomous driving control;
the road end Mirror image is used for mirroring the data of the vehicle end to the road end through a Mirror image technology;
the cloud Mirror image is used for mirroring data of the vehicle end to the cloud end through a Mirror image technology;
the ecological basic application is used for storing data in the cloud vehicle-road cooperative system and performing corresponding data operation;
the communication interfaces are used for connecting a vehicle end, a road end and a cloud end according to the closed-loop communication link.
In a possible implementation manner of the first aspect, the performing, by cloud vehicle-road coordination function software, corresponding cloud vehicle-road coordination processing according to the data in the closed-loop communication link and the cloud vehicle-road coordination system includes:
acquiring data in a cloud vehicle-road cooperative system;
sending the data in the cloud vehicle-road cooperative system to a corresponding communication interface according to the closed-loop communication link;
and performing cloud vehicle-road cooperative processing according to the data in the cloud vehicle-road cooperative system received by the communication interface through the cloud vehicle-road cooperative function software.
In a possible implementation manner of the first aspect, after the step of performing, by the cloud vehicle-road coordination function software, cloud vehicle-road coordination processing according to the data in the cloud vehicle-road coordination system received by the communication interface, the method further includes:
sending the cloud vehicle-road cooperative processing result to a corresponding execution end through a communication interface;
and controlling the vehicle to automatically drive through the execution end according to the cloud vehicle road cooperative processing result.
In a possible implementation manner of the first aspect, the method further includes:
and constructing a cloud control platform system according to the cloud vehicle-road cooperative application, the cloud vehicle-road cooperative base software and the cloud control base platform.
Correspondingly, a second aspect of the present application provides a cloud vehicle-road cooperative processing system, including:
the cloud vehicle-road cooperative middleware module is used for constructing a cooperative control closed-loop communication link, and comprises communication among devices in a vehicle, communication among vehicles and communication among cloud servers;
the ecological foundation protection module is used for monitoring data in the cloud vehicle-road cooperative system;
and the cloud vehicle-road cooperative function software module is used for performing corresponding cloud vehicle-road cooperative processing through the cloud vehicle-road cooperative function software according to the closed-loop communication link and the data in the cloud vehicle-road cooperative system.
In a possible implementation manner of the second aspect, the cloud vehicle-road coordination function software module includes an autopilot general framework unit, a road end Mirror image unit, a cloud end Mirror image unit, an ecological basic application unit, and a plurality of communication interface units;
the automatic driving general framework unit is used for controlling the vehicle to sense the surrounding environment, plan the path and control automatic driving;
the road end Mirror image unit is used for mirroring the data of the vehicle end to the road end through a Mirror image technology;
the cloud Mirror image unit is used for mirroring data of the vehicle end to the cloud end through an image technology;
the ecological basic application unit is used for storing data in the cloud vehicle-road cooperative system and performing corresponding data operation;
the communication interface units are used for connecting a vehicle end, a road end and a cloud end according to the closed-loop communication link.
The third aspect of the embodiment of the present application further provides a computer device, which includes a memory and a processor, where the memory stores a computer program, and the processor implements the steps of the cloud vehicle-road co-processing method described in any one of the above when executing the computer program.
The fourth aspect of the embodiment of the present application further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the steps of the cloud vehicle-road co-processing method described in any one of the above.
The embodiment of the invention has the following beneficial effects:
the embodiment of the invention provides a cloud vehicle-road cooperative processing method, a cloud vehicle-road cooperative processing system, cloud vehicle-road cooperative processing equipment and a storage medium, wherein the method comprises the following steps: constructing a closed-loop communication link for cooperative control, wherein the closed-loop communication link comprises communication among all devices in a vehicle, communication between vehicles and communication between the vehicles and a cloud server; monitoring data in the cloud vehicle-road cooperative system; and performing corresponding cloud vehicle-road cooperative processing through cloud vehicle-road cooperative function software according to the closed-loop communication link and the data in the cloud vehicle-road cooperative system. The embodiment of the invention provides a cloud vehicle-road cooperative processing architecture, which integrates vehicles, roads and clouds into a whole by using key technologies such as cloud computing, digital twinning, 5G, artificial intelligence and the like, performs fusion sensing, decision making and control, expands the computing capacity of an automatic driving system, improves the utilization rate of computing resources in the automatic driving system, realizes communication transparency between applications, gets through an information island, and meets the actual requirements of vehicles on safety, energy efficiency and dynamic monitoring and planning of road traffic in the industry.
Drawings
Fig. 1 is a schematic block diagram of a flow of a cloud vehicle-road cooperative processing method according to an embodiment of the present application;
fig. 2 is a schematic block diagram of a structure of a cloud vehicle-road cooperative processing system according to an embodiment of the present application;
fig. 3 is a schematic diagram of a basic software architecture of a cloud vehicle-road cooperative processing system according to an embodiment of the present application;
fig. 4 is a schematic diagram of a cloud control platform system architecture based on a cloud vehicle-road cooperative processing system according to an embodiment of the present application;
fig. 5 is a schematic diagram of a cloud vehicle coordination system architecture based on a cloud vehicle-road coordination processing system according to an embodiment of the present application;
fig. 6 is a block diagram illustrating a structure of a computer device according to an embodiment of the present application.
The implementation, functional features and advantages of the objectives of the present application will be further explained with reference to the accompanying drawings.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
In the description of the present application, it is to be understood that the terms "first", "second", and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implying any number of technical features indicated. Thus, a feature defined as "first," "second," etc. may explicitly or implicitly include one or more of that feature. In the description of the present application, "a plurality" means two or more unless otherwise specified.
The embodiment of the application can acquire and process related data based on an artificial intelligence technology. Among them, Artificial Intelligence (AI) is a theory, method, technique and application system that simulates, extends and expands human Intelligence using a digital computer or a machine controlled by a digital computer, senses the environment, acquires knowledge and uses the knowledge to obtain the best result.
The embodiment of the application can be applied to a server, and the server can be an independent server, or a cloud server providing basic cloud computing services such as cloud service, a cloud database, cloud computing, a cloud function, cloud storage, Network service, cloud communication, middleware service, domain name service, security service, Content Delivery Network (CDN), big data and an artificial intelligence platform.
First, an application scenario that can be provided by the invention is introduced, for example, a cloud vehicle and road cooperative processing architecture is provided, which can fill the blank of the cloud vehicle and road cooperative processing system architecture, solve the problem that the prior art cannot effectively realize cooperative operation of a vehicle end, a road end and a cloud end, integrate the vehicle, the road and the cloud end into a whole, and perform fusion perception, decision making and control.
The first embodiment of the present invention:
please refer to fig. 1.
As shown in fig. 1, the embodiment provides a cloud vehicle-road cooperative processing method, which at least includes the following steps:
s1, constructing a closed-loop communication link of cooperative control, including communication among all devices in the vehicle, communication among the vehicles and communication among the cloud servers;
s2, monitoring data in the cloud vehicle-road cooperative system;
and S3, performing corresponding cloud vehicle-road cooperative processing through cloud vehicle-road cooperative function software according to the data in the closed-loop communication link and the cloud vehicle-road cooperative system.
With the advance of the research of the automatic driving vehicle, a plurality of problems need to be solved urgently, on one hand, the coupling relation among upper-layer application, basic software and hardware in the existing automatic driving system architecture is strong, different applications need to rebuild the architecture system according to the user requirements and are not adaptive to each other, so that the repeated development work is increased, and the development efficiency is low; on the other hand, the existing application is bound with physical equipment in the automatic driving system, and the existing automatic driving system does not support an application development system based on cloud computing, so that the application (such as an algorithm model) can only be singly operated at one of a vehicle end, an edge end and a cloud end, the computing system in the automatic driving system is solidified, the computing resource utilization rate is low, and the degradation or the breakdown of the whole system is easily caused by a single-point fault. In order to solve the above technical problems, the present embodiment provides a cloud vehicle and road cooperative processing architecture, which can fill up the blank of the cloud vehicle and road cooperative processing system architecture, and solve the problem that the cooperative operation of a vehicle end, a road end, and a cloud end cannot be effectively realized in the prior art, and the vehicle, the road, and the cloud end are connected into a whole to perform fusion sensing, decision making, and control, thereby expanding the computing capability of an automatic driving system, improving the utilization rate of computing resources in the automatic driving system, realizing communication transparency between applications, opening an information isolated island, and satisfying the actual requirements of vehicles on safety, energy efficiency, and dynamic monitoring and planning of road traffic in the industry.
Specifically, in step S1, firstly, a connection from the vehicle end to the edge end and the cloud end is established, and a closed-loop communication link for cooperative control is established, including communication between devices in the vehicle, communication between the vehicle and the vehicle, and communication between the vehicle and the cloud server, so as to implement automatic arrangement and automatic discovery, and make communication between applications transparent.
Specifically, in step S2, data and information in the vehicle-road cloud coordination system are monitored, and the monitored data and information are stored, so that information security and data security are realized.
Specifically, in step S3, according to the closed-loop communication link and the data in the cloud vehicle-road cooperative system, the data in the cloud vehicle-road cooperative system is transmitted to the corresponding cloud vehicle-road cooperative function software according to the closed-loop communication link for processing, and finally, the corresponding cloud vehicle-road cooperative processing is performed through the cloud vehicle-road cooperative function software.
The cloud end in this embodiment refers to a cloud server, the vehicle end refers to the vehicle itself, and the road end or the side end refers to a driving road end.
In a preferred embodiment, the constructing a closed-loop communication link for cooperative control includes:
adopting an Internet of things technology, a digital twinning technology and a differential communication mode to construct a closed-loop communication link for cooperative control;
and connecting vehicle ends to communication links of the side end and the cloud end respectively through the cloud vehicle path and the middleware according to the closed-loop communication link, wherein the communication links comprise communication among all devices in the vehicle, communication among the vehicles and communication among cloud end servers.
Specifically, in step S1, an IoT (Internet of Things) technology, a digital twin (ditto) technology, and a differential communication mode may be used to construct a closed-loop communication link for cooperative control, and then the cloud vehicle path cooperative middleware is used to connect communication links from the vehicle end to the edge end and the cloud end according to the closed-loop communication link, so as to break through an information island and construct a closed-loop communication link for supporting cooperative control.
In a preferred embodiment, the cloud vehicle-road cooperative function software comprises an automatic driving general framework, a road-end Mirror image, a cloud-end Mirror image, ecological basic application and a plurality of communication interfaces;
wherein the generic framework for autonomous driving is used to control vehicle perception of surroundings, path planning and autonomous driving control;
the road end Mirror image is used for mirroring the data of the vehicle end to the road end through a Mirror image technology;
the cloud Mirror image is used for mirroring data of the vehicle end to the cloud end through a Mirror image technology;
the ecological basic application is used for storing data in the cloud vehicle-road cooperative system and performing corresponding data operation;
the communication interfaces are used for connecting a vehicle end, a road end and a cloud end according to the closed-loop communication link.
Specifically, the cloud vehicle-road cooperative function software in the embodiment includes, but is not limited to, an autopilot general framework module, a road-end Mirror image, a cloud Mirror image, an ecological base application and an interface; the automatic driving general framework module is used for controlling the vehicle to sense the surrounding environment, plan the path and the like; the road end Mirror image is used for mirroring the data of the vehicle end to the road end through a Mirror image technology; the cloud Mirror image is used for mirroring data of the vehicle end to the cloud end through a Mirror image technology; the interface is used for connecting the vehicle, the road side and the cloud side, so that the vehicle, the road side and the cloud side can call a cloud vehicle-road cooperative basic software framework.
In a preferred embodiment, the performing, by cloud vehicle-road coordination function software, corresponding cloud vehicle-road coordination processing according to the data in the closed-loop communication link and the cloud vehicle-road coordination system includes:
acquiring data in a cloud vehicle-road cooperative system;
sending the data in the cloud vehicle-road cooperative system to a corresponding communication interface according to the closed-loop communication link;
and performing cloud vehicle-road cooperative processing according to the data in the cloud vehicle-road cooperative system received by the communication interface through the cloud vehicle-road cooperative function software.
Specifically, for step S3, first, relevant data and information in the cloud vehicle-road coordination system are acquired, then the acquired relevant data and information in the cloud vehicle-road coordination system are sent to the corresponding communication interface according to the constructed closed-loop communication link, and after the sending is completed, corresponding cloud vehicle-road coordination processing is performed by the cloud vehicle-road coordination function software according to the data in the cloud vehicle-road coordination system received by the communication interface.
In a preferred embodiment, after the step of performing cloud vehicle-road cooperative processing by the cloud vehicle-road cooperative function software according to the data in the cloud vehicle-road cooperative system received by the communication interface, the method further includes:
sending the cloud vehicle-road cooperative processing result to a corresponding execution end through a communication interface;
and controlling the vehicle to automatically drive through the execution end according to the cloud vehicle road cooperative processing result.
Specifically, after cloud vehicle-road cooperative processing is performed through cloud vehicle-road cooperative function software according to data in a cloud vehicle-road cooperative system received by a communication interface, corresponding cloud vehicle-road cooperative processing results are sent to corresponding execution ends through a plurality of communication interfaces, and finally, a vehicle is controlled to automatically drive through the execution ends according to the received cloud vehicle-road cooperative processing results.
In a preferred embodiment, further comprising:
and constructing a cloud control platform system according to the cloud vehicle-road cooperative application, the cloud vehicle-road cooperative base software and the cloud control base platform.
Specifically, the embodiment further provides a method for constructing the cloud control platform system, which is mainly used for constructing the cloud control platform system according to the cloud vehicle-road cooperative application, the cloud vehicle-road cooperative base software and the cloud control base platform. The cloud control basic platform is responsible for data collection, storage, monitoring, calculation and communication, and comprises a cloud architecture and a real-time architecture responsible for feature processing and optimization; the cloud vehicle-road cooperation basic software comprises an intelligent vehicle OS, a road test basic software and a cloud basic software; the cloud vehicle-road cooperative application comprises vehicle-end automatic driving application, road-side cooperative application of road ends (side ends) and cloud control application of cloud ends.
The cloud vehicle-road cooperative processing method provided by the embodiment comprises the following steps: constructing a closed-loop communication link for cooperative control, wherein the closed-loop communication link comprises communication among all devices in a vehicle, communication between vehicles and communication between the vehicles and a cloud server; monitoring data in the cloud vehicle-road cooperative system; and performing corresponding cloud vehicle-road cooperative processing through cloud vehicle-road cooperative function software according to the closed-loop communication link and the data in the cloud vehicle-road cooperative system. The embodiment provides a cloud vehicle and road cooperative processing architecture, key technologies such as cloud computing, digital twinning, 5G and artificial intelligence are utilized to integrate vehicles, roads and clouds, sensing, decision and control are fused, the computing capacity of an automatic driving system is expanded, the utilization rate of computing resources in the automatic driving system is improved, communication transparency between applications is achieved, an information island is opened, and the actual requirements of vehicles on safety, energy efficiency and industry on dynamic monitoring and planning of road traffic are met.
The second embodiment of the present application:
please refer to fig. 2.
As shown in fig. 2, the present embodiment provides a cloud vehicle-road cooperative processing system, including:
the cloud vehicle-road cooperative middleware module 100 is configured to construct a cooperative control closed-loop communication link, including communication between devices in a vehicle, communication between vehicles, and communication between a vehicle and a cloud server;
specifically, for the cloud vehicle-road cooperative middleware module 100, firstly, a connection from a vehicle end to an edge end and a cloud end is established, and a closed-loop communication link for cooperative control is established, including communication among devices in a vehicle, communication between the vehicle and the vehicle, and communication between the vehicle and a cloud server, so that automatic arrangement and automatic discovery are realized, and communication among applications is transparent.
The ecological foundation protection module 200 is used for monitoring data in the cloud vehicle-road cooperative system;
specifically, for the ecological basic protection module 200, data and information in the vehicle-road cloud collaborative system are monitored, and the monitored data and information are stored, so that information security and data security are realized.
And the cloud vehicle-road cooperative function software module 300 is configured to perform corresponding cloud vehicle-road cooperative processing through the cloud vehicle-road cooperative function software according to the closed-loop communication link and the data in the cloud vehicle-road cooperative system.
Specifically, for the cloud vehicle-road cooperative function software module 300, according to the closed-loop communication link and the data in the cloud vehicle-road cooperative system, the data in the cloud vehicle-road cooperative system is transmitted to the corresponding cloud vehicle-road cooperative function software according to the closed-loop communication link for processing, and finally, the corresponding cloud vehicle-road cooperative processing is performed through the cloud vehicle-road cooperative function software.
In a preferred embodiment, the cloud vehicle-road cooperative function software module 300 includes an autopilot general framework unit, a road-end Mirror image unit, a cloud Mirror image unit, an ecological basic application unit, and a plurality of communication interface units;
the automatic driving general framework unit is used for controlling the vehicle to sense the surrounding environment, plan the path and control automatic driving;
the road end Mirror image unit is used for mirroring the data of the vehicle end to the road end through a Mirror image technology;
the cloud Mirror image unit is used for mirroring data of the vehicle end to the cloud end through an image technology;
the ecological basic application unit is used for storing data in the cloud vehicle-road cooperative system and performing corresponding data operation;
the communication interface units are used for connecting a vehicle end, a road end and a cloud end according to the closed-loop communication link.
Specifically, the cloud vehicle-road cooperative function software module 300 in this embodiment includes, but is not limited to, an autopilot general framework unit, a road-end Mirror image unit, a cloud Mirror image unit, an ecological base application unit, and an interface unit; the automatic driving general framework unit is used for controlling the vehicle to sense the surrounding environment, plan the path and the like; the road end Mirror image unit is used for mirroring the data of the vehicle end to the road end through a Mirror image technology; the cloud Mirror unit is used for mirroring the data of the vehicle end to the cloud end through a Mirror technology; the interface unit is used for connecting the vehicle, the road side and the cloud side, so that the vehicle, the road side and the cloud side can call a cloud vehicle-road cooperative basic software framework.
The cloud vehicle road cooperative processing system provided by the embodiment comprises: the cloud vehicle-road cooperative middleware module is used for constructing a cooperative control closed-loop communication link, and comprises communication among devices in a vehicle, communication among vehicles and communication among cloud servers; the ecological foundation protection module is used for monitoring data in the cloud vehicle-road cooperative system; and the cloud vehicle-road cooperative function software module is used for performing corresponding cloud vehicle-road cooperative processing through the cloud vehicle-road cooperative function software according to the closed-loop communication link and the data in the cloud vehicle-road cooperative system. The embodiment provides a cloud vehicle and road cooperative processing architecture, key technologies such as cloud computing, digital twinning, 5G and artificial intelligence are utilized to integrate vehicles, roads and clouds, sensing, decision and control are fused, the computing capacity of an automatic driving system is expanded, the utilization rate of computing resources in the automatic driving system is improved, communication transparency between applications is achieved, an information island is opened, and the actual requirements of vehicles on safety, energy efficiency and industry on dynamic monitoring and planning of road traffic are met.
The third embodiment of the present application:
please refer to fig. 3.
As shown in fig. 3, this embodiment further provides a basic software architecture of a cloud vehicle-road cooperative processing system, which specifically includes cloud vehicle-road cooperative middleware, ecological foundation protection, and cloud vehicle-road cooperative function software;
the cloud vehicle-road cooperative middleware of the first layer is used for communication among devices in a vehicle, communication among vehicles and communication among the vehicles and cloud terminals, establishing contact between the vehicles and the edge and the cloud terminals, realizing automatic arrangement and automatic discovery and making the communication among applications transparent, and establishing a closed-loop communication link for supporting cooperative control by utilizing an IoT technology, a digital twin (ditto) technology and a differential communication mode to break through an information island;
the ecological foundation protection of the second layer is used for monitoring data and information in the vehicle road cloud cooperative system, so that information safety and data safety are realized;
the third layer of cloud vehicle-road cooperative function software comprises an automatic driving universal frame module, a road end Mirror image, a cloud end Mirror image, ecological basic application and an interface; the automatic driving general frame module is used for controlling the vehicle to sense the surrounding environment, plan the path and the like; the road end Mirror image is used for mirroring the data of the vehicle end to the road end through a Mirror image technology; the cloud Mirror image is used for mirroring data of the vehicle end to the cloud end through a Mirror image technology; the interface is used for connecting the vehicle, the road side and the cloud side, so that the vehicle, the road side and the cloud side can call a cloud vehicle-road cooperative basic software framework.
In addition, the basic software architecture further comprises a tool library, the tool library comprises a database and an AI (artificial intelligence) computing platform, the database is mainly used for synchronously authenticating safety and privacy consistency and controlling access, the AI computing platform is a vehicle-boundary-cloud three-level AI training mechanism platform and comprises a federal AI for providing encrypted privacy data, and the aim is to get through AI computing, rule computing and physical model computing to realize elastic computing and communication floating.
The fourth embodiment of the present application:
please refer to fig. 4-5.
As shown in fig. 4, the present embodiment provides a cloud control platform system architecture based on a cloud vehicle and road cooperative processing system, which specifically includes a cloud vehicle and road cooperative application, cloud vehicle and road cooperative base software, and a cloud control base platform. The cloud vehicle-road cooperative application comprises an automatic driving application, a roadside intelligent cooperative application and a cloud control application; the cloud vehicle road cooperation basic software comprises an intelligent vehicle OS, road side basic software and cloud basic software; the cloud control basic platform comprises a data layer, a cloud architecture and a real-time architecture, wherein the data layer is used for collecting, safety, storage, monitoring, computing and communication functions, and the real-time architecture is used for feature processing and optimization.
As shown in fig. 5, this embodiment further provides an implementation manner of a cloud vehicle cooperative system architecture based on the cloud vehicle-road cooperative processing system.
Referring to fig. 6, a computer device, which may be a server and whose internal structure may be as shown in fig. 6, is also provided in the embodiment of the present application. The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the computer designed processor is used to provide computational and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer equipment is used for storing data such as a cloud vehicle-road cooperative processing method and the like. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to realize a cloud vehicle-road cooperative processing method. The cloud vehicle road cooperative processing method comprises the following steps: constructing a closed-loop communication link for cooperative control, wherein the closed-loop communication link comprises communication among all devices in a vehicle, communication between vehicles and communication between the vehicles and a cloud server; monitoring data in the cloud vehicle-road cooperative system; and performing corresponding cloud vehicle-road cooperative processing through cloud vehicle-road cooperative function software according to the closed-loop communication link and the data in the cloud vehicle-road cooperative system.
An embodiment of the present application further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements a cloud vehicle-road co-processing method, and the method includes: constructing a closed-loop communication link for cooperative control, wherein the closed-loop communication link comprises communication among all devices in a vehicle, communication between vehicles and communication between the vehicles and a cloud server; monitoring data in the cloud vehicle-road cooperative system; and performing corresponding cloud vehicle-road cooperative processing through cloud vehicle-road cooperative function software according to the closed-loop communication link and the data in the cloud vehicle-road cooperative system.
In the cloud vehicle-road cooperative processing method, a cloud vehicle-road cooperative processing architecture is provided in the embodiment, key technologies such as cloud computing, digital twinning, 5G and artificial intelligence are utilized to integrate vehicles, roads and clouds into a whole, and sensing, decision and control are fused, so that the computing capacity of an automatic driving system is expanded, the utilization rate of computing resources in the automatic driving system is improved, communication transparency among applications is realized, an information island is opened, and the actual requirements of vehicles on safety, energy efficiency and industry on dynamic monitoring and planning of road traffic are met.
In the above embodiments of the present invention, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed technology can be implemented in other ways. The above-described system embodiments are merely illustrative, and for example, the division of the modules may be a logical division, and in actual implementation, there may be another division, for example, multiple modules 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, units or modules, and may be in an electrical or other form.
The modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical modules, may be located in one place, or may be distributed on a plurality of modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment.
In addition, functional modules in the embodiments of the present invention may be integrated into one processing module, or each of the modules may exist alone physically, or two or more modules are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode.
The foregoing is directed to the preferred embodiment of the present invention, and it is understood that various changes and modifications may be made by one skilled in the art without departing from the spirit of the invention, and it is intended that such changes and modifications be considered as within the scope of the invention.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium provided herein and used in the examples may include non-volatile and/or volatile memory. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), double-rate SDRAM (SSRSDRAM), Enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and bus dynamic RAM (RDRAM).
Claims (10)
1. A cloud vehicle road cooperative processing method is characterized by at least comprising the following steps:
constructing a closed-loop communication link for cooperative control, wherein the closed-loop communication link comprises communication among all devices in a vehicle, communication between vehicles and communication between the vehicles and a cloud server;
monitoring data in the cloud vehicle-road cooperative system;
and performing corresponding cloud vehicle-road cooperative processing through cloud vehicle-road cooperative function software according to the closed-loop communication link and the data in the cloud vehicle-road cooperative system.
2. The cloud vehicle road cooperative processing method according to claim 1, wherein the constructing of the closed-loop communication link for cooperative control comprises:
adopting an Internet of things technology, a digital twinning technology and a differential communication mode to construct a closed-loop communication link for cooperative control;
and connecting vehicle ends to communication links of the side end and the cloud end respectively through the cloud vehicle path and the middleware according to the closed-loop communication link, wherein the communication links comprise communication among all devices in the vehicle, communication among the vehicles and communication among cloud end servers.
3. The cloud vehicle-road cooperative processing method according to claim 1, wherein the cloud vehicle-road cooperative function software comprises an autopilot general framework, a road-end Mirror image, a cloud-end Mirror image, an ecological base application and a plurality of communication interfaces;
wherein the generic framework for autonomous driving is used to control vehicle perception of surroundings, path planning and autonomous driving control;
the road end Mirror image is used for mirroring the data of the vehicle end to the road end through a Mirror image technology;
the cloud Mirror image is used for mirroring data of the vehicle end to the cloud end through a Mirror image technology;
the ecological basic application is used for storing data in the cloud vehicle-road cooperative system and performing corresponding data operation;
the communication interfaces are used for connecting a vehicle end, a road end and a cloud end according to the closed-loop communication link.
4. The cloud vehicle-road cooperative processing method according to claim 1, wherein the performing, by cloud vehicle-road cooperative function software, corresponding cloud vehicle-road cooperative processing according to the data in the closed-loop communication link and the cloud vehicle-road cooperative system includes:
acquiring data in a cloud vehicle-road cooperative system;
sending the data in the cloud vehicle-road cooperative system to a corresponding communication interface according to the closed-loop communication link;
and performing cloud vehicle-road cooperative processing according to the data in the cloud vehicle-road cooperative system received by the communication interface through the cloud vehicle-road cooperative function software.
5. The cloud vehicle-road cooperative processing method according to claim 4, wherein after the step of performing cloud vehicle-road cooperative processing by the cloud vehicle-road cooperative function software according to the data in the cloud vehicle-road cooperative system received by the communication interface, the method further comprises:
sending the cloud vehicle-road cooperative processing result to a corresponding execution end through a communication interface;
and controlling the vehicle to automatically drive through the execution end according to the cloud vehicle road cooperative processing result.
6. The cloud vehicle road cooperative processing method according to claim 1, further comprising:
and constructing a cloud control platform system according to the cloud vehicle-road cooperative application, the cloud vehicle-road cooperative base software and the cloud control base platform.
7. A cloud vehicle road cooperative processing system is characterized by comprising:
the cloud vehicle-road cooperative middleware module is used for constructing a cooperative control closed-loop communication link, and comprises communication among devices in a vehicle, communication among vehicles and communication among cloud servers;
the ecological foundation protection module is used for monitoring data in the cloud vehicle-road cooperative system;
and the cloud vehicle-road cooperative function software module is used for performing corresponding cloud vehicle-road cooperative processing through the cloud vehicle-road cooperative function software according to the closed-loop communication link and the data in the cloud vehicle-road cooperative system.
8. The cloud vehicle-road cooperative processing system according to claim 7, wherein the cloud vehicle-road cooperative function software module comprises an automatic driving universal framework unit, a road-end Mirror image unit, a cloud-end Mirror image unit, an ecological basic application unit and a plurality of communication interface units;
the automatic driving general framework unit is used for controlling the vehicle to sense the surrounding environment, plan the path and control automatic driving;
the road end Mirror image unit is used for mirroring the data of the vehicle end to the road end through a Mirror image technology;
the cloud Mirror image unit is used for mirroring data of the vehicle end to the cloud end through an image technology;
the ecological basic application unit is used for storing data in the cloud vehicle-road cooperative system and performing corresponding data operation;
the communication interface units are used for connecting a vehicle end, a road end and a cloud end according to the closed-loop communication link.
9. A computer device comprising a memory and a processor, the memory storing a computer program, wherein the processor implements the steps of the cloud vehicle-road co-processing method according to any one of claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium on which a computer program is stored, the computer program, when being executed by a processor, implementing the steps of the cloud vehicle-road co-processing method according to any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210228258.1A CN114339681A (en) | 2022-03-10 | 2022-03-10 | Cloud vehicle road cooperative processing method, system, equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210228258.1A CN114339681A (en) | 2022-03-10 | 2022-03-10 | Cloud vehicle road cooperative processing method, system, equipment and storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114339681A true CN114339681A (en) | 2022-04-12 |
Family
ID=81033842
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210228258.1A Pending CN114339681A (en) | 2022-03-10 | 2022-03-10 | Cloud vehicle road cooperative processing method, system, equipment and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114339681A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115578709A (en) * | 2022-11-24 | 2023-01-06 | 北京理工大学深圳汽车研究院(电动车辆国家工程实验室深圳研究院) | Feature level cooperative perception fusion method and system for vehicle-road cooperation |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108430052A (en) * | 2018-02-05 | 2018-08-21 | 西安电子科技大学 | Intelligent network based on cell on wheels joins automotive communication network framework |
| CN109377778A (en) * | 2018-11-15 | 2019-02-22 | 济南浪潮高新科技投资发展有限公司 | A kind of collaboration automated driving system and method based on multichannel RDMA and V2X |
| CN109714421A (en) * | 2018-12-28 | 2019-05-03 | 国汽(北京)智能网联汽车研究院有限公司 | Intelligent network based on bus or train route collaboration joins automobilism system |
| CN112289059A (en) * | 2020-10-22 | 2021-01-29 | 中电智能技术南京有限公司 | Vehicle-road cooperative road traffic system |
| US20210172760A1 (en) * | 2017-11-27 | 2021-06-10 | Mitsubishi Electric Corporation | Map maintenance system and map maintenance method |
| US20210225183A1 (en) * | 2018-08-03 | 2021-07-22 | Denso Corporation | Movement space information processing system, movement space information processing method, and communication device |
-
2022
- 2022-03-10 CN CN202210228258.1A patent/CN114339681A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20210172760A1 (en) * | 2017-11-27 | 2021-06-10 | Mitsubishi Electric Corporation | Map maintenance system and map maintenance method |
| CN108430052A (en) * | 2018-02-05 | 2018-08-21 | 西安电子科技大学 | Intelligent network based on cell on wheels joins automotive communication network framework |
| US20210225183A1 (en) * | 2018-08-03 | 2021-07-22 | Denso Corporation | Movement space information processing system, movement space information processing method, and communication device |
| CN109377778A (en) * | 2018-11-15 | 2019-02-22 | 济南浪潮高新科技投资发展有限公司 | A kind of collaboration automated driving system and method based on multichannel RDMA and V2X |
| CN109714421A (en) * | 2018-12-28 | 2019-05-03 | 国汽(北京)智能网联汽车研究院有限公司 | Intelligent network based on bus or train route collaboration joins automobilism system |
| CN112289059A (en) * | 2020-10-22 | 2021-01-29 | 中电智能技术南京有限公司 | Vehicle-road cooperative road traffic system |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115578709A (en) * | 2022-11-24 | 2023-01-06 | 北京理工大学深圳汽车研究院(电动车辆国家工程实验室深圳研究院) | Feature level cooperative perception fusion method and system for vehicle-road cooperation |
| CN115578709B (en) * | 2022-11-24 | 2023-04-07 | 北京理工大学深圳汽车研究院(电动车辆国家工程实验室深圳研究院) | Feature level cooperative perception fusion method and system for vehicle-road cooperation |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Mzahm et al. | Agents of Things (AoT): An intelligent operational concept of the Internet of Things (IoT) | |
| Vongsingthong et al. | Internet of things: a review of applications and technologies | |
| CN112925657A (en) | Vehicle road cloud cooperative processing system and method | |
| CN111371662B (en) | Redundant automatic driving system and control method thereof | |
| US20200236162A1 (en) | Network of intelligent nodes for mesh distributed network adaptable to industrial or service applications | |
| CN111199279A (en) | Cloud edge calculation and artificial intelligence fusion method and device for police service industry | |
| CN114338753A (en) | Vehicle cloud cooperative computing system, equipment and storage medium | |
| CN105681454A (en) | Method and system for self-adaptively connecting cloud desktop | |
| CN106033476A (en) | Incremental graphic computing method in distributed computing mode under cloud computing environment | |
| CN109657003A (en) | A method of hardware data is directly accessed big data platform | |
| CN109189432A (en) | A kind of automobile ECU data write with a brush dipped in Chinese ink method and relevant device | |
| CN102781119A (en) | Wireless ubiquitous network application terminal system and software component application process management method | |
| CN114339681A (en) | Cloud vehicle road cooperative processing method, system, equipment and storage medium | |
| CN112383927A (en) | Interaction method, device, equipment and storage medium of wireless network | |
| CN103916397A (en) | Safety monitoring method under distributed network environment | |
| DE112021003668T5 (en) | ALLOCATE TASKS AND DATA USING MULTI-ACCESS EDGE COMPUTING | |
| Cai et al. | Task-efficiency oriented V2X communications: Digital twin meets mobile edge computing | |
| Elayan et al. | Intelligent cooperative health emergency response system in autonomous vehicles | |
| CN110611579A (en) | Block chain-based equipment monitoring and early warning method, system, equipment and storage medium | |
| CN110471988A (en) | One kind being based on modular three section of five laminar artificial intelligence system | |
| CN115985089B (en) | Method and device for perceiving weak traffic participants based on cloud | |
| Xia et al. | Lane scheduling around crossroads for edge computing based autonomous driving | |
| CN110417853A (en) | A kind of intelligence based on vehicle identification moves vehicle system and moves vehicle method | |
| CN114338678A (en) | Intelligent networking automobile operating system application layer switching method and device | |
| CN114979148A (en) | Data transmission method, device and computer readable storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20220412 |