CN115116215A - Method, device, equipment and medium for constructing dynamic cloud connection pipe system - Google Patents
Method, device, equipment and medium for constructing dynamic cloud connection pipe system Download PDFInfo
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- CN115116215A CN115116215A CN202210571284.4A CN202210571284A CN115116215A CN 115116215 A CN115116215 A CN 115116215A CN 202210571284 A CN202210571284 A CN 202210571284A CN 115116215 A CN115116215 A CN 115116215A
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0108—Measuring and analyzing of parameters relative to traffic conditions based on the source of data
- G08G1/0116—Measuring and analyzing of parameters relative to traffic conditions based on the source of data from roadside infrastructure, e.g. beacons
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0137—Measuring and analyzing of parameters relative to traffic conditions for specific applications
- G08G1/0145—Measuring and analyzing of parameters relative to traffic conditions for specific applications for active traffic flow control
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/30—Services specially adapted for particular environments, situations or purposes
- H04W4/40—Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P]
Abstract
The application relates to a method, a device, equipment and a medium for constructing a dynamic cloud connection pipe system, wherein the method comprises the following steps: the method comprises the steps of obtaining fusion sensing data of vehicles, fusion sensing data of a road side system and service data of a target resource platform, obtaining the fusion data, and constructing and updating full-factor real-time digital mapping with different granularities to obtain traffic full-factor real-time digital mapping data. Based on partial data and residual data of the data, the data sets constructed through analysis and learning are respectively realized to support statistical analysis non-real-time type cooperative application, and real-time application calculation is carried out by combining preset cloud computing resources to support statistical analysis real-time type cooperative application, so that a dynamic cloud take-over system is constructed. Therefore, the problems that group collaborative decision making is difficult to realize in large-scale networking application and the like are solved, and the collaborative application of the networked vehicle and the intelligent traffic equipment is planned and decided through real-time data based on the interaction of the OPM and the networking cloud control platform, so that the driving safety and the traffic efficiency are improved.
Description
Technical Field
The present disclosure relates to the field of dynamic cloud connection pipe system technologies, and in particular, to a method, an apparatus, a device, and a medium for constructing a dynamic cloud connection pipe system.
Background
With the development of modern high and new technologies in China, the Internet of things has brought up a new climax, the shadow of the Internet of things emerges in various technical fields, the aspects of life are enriched and convenient, and the problems of traffic jam, complex road conditions and the like are solved particularly in the aspect of traffic travel.
In the related art, vehicle-road cooperation mainly emphasizes cooperation between vehicles and road side equipment, and has a main function of assisting the decision of a single vehicle by using information interaction between vehicles and roads.
However, the single-vehicle intelligent technology route has the problems of limited vehicle-mounted sensing range, insufficient reliability, game and conflict in workshop behaviors, difficulty in realizing global optimization of planning and control of single vehicles by means of local information and the like, and although the cooperation method can solve the problems of part of single-vehicle intelligence, the application scene is limited, group cooperation decision in large-range networking application facing an area-level network is difficult to realize, and the practical requirements of a traffic system formed by intelligent networking automobiles on interaction, control and optimization of global vehicles and traffic, wide and deep application of traffic data and the like in the development process cannot be met.
Therefore, it is necessary to establish a dynamic cloud takeover system based on the networking cloud control platform.
Disclosure of Invention
The application provides a method, a device, equipment and a medium for constructing a dynamic cloud connection pipe system, which are used for solving the problems that group cooperative decision is difficult to realize in large-range networking application and the like.
An embodiment of a first aspect of the present application provides a method for constructing a dynamic cloud takeover system, including the following steps:
acquiring fusion perception data of a vehicle, fusion perception data of a road side system and service data of a target resource platform;
fusing the fusion perception data of the vehicle, the fusion perception data of the road side system and the service data of the target resource platform to obtain fusion data, and constructing and updating full-factor real-time digital mapping with different granularities based on the fusion data to obtain traffic full-factor real-time digital mapping data;
constructing a data set based on partial data of the traffic full-factor real-time digital mapping data, analyzing and learning the data set to support statistical analysis of non-real-time type cooperative application, and combining residual data of the traffic full-factor real-time digital mapping data with preset cloud computing resources to perform real-time application calculation to support statistical analysis of real-time type cooperative application; and
and constructing a dynamic cloud connection pipe system according to the real-time type cooperative application and the non-real-time type cooperative application.
According to an embodiment of the present application, the method for constructing a dynamic cloud hosting system further includes:
and calculating residual data based on the traffic full-element real-time digital mapping data to obtain a cooperative control instruction, and sending the cooperative control instruction to a perception decision system and an internet communication device in a preset communication mode.
According to an embodiment of the application, the vehicle comprises a networked vehicle and a non-networked vehicle, and the acquiring of the fusion perception data of the vehicle comprises:
the method comprises the steps that when the non-networked vehicle runs under a preset same-line rule, steering data, power data and braking data of the non-networked vehicle are obtained;
and performing data fusion on the steering data, the power data and the braking data to obtain fusion perception data of the vehicle.
According to an embodiment of the application, the roadside system comprises roadside sensing equipment and roadside communication equipment, and the acquiring of the fusion sensing data of the roadside system comprises the following steps:
performing roadside sensing through the roadside sensing equipment to obtain roadside sensing data;
receiving, by the roadside communication device, fusion perception data of the vehicle sent by the networked vehicle;
and obtaining the fusion perception data of the road side system based on the road side perception data and the fusion perception data of the vehicle.
According to an embodiment of the application, the service data of the target resource platform includes:
one or more of map data for a plurality of target areas, traffic management data for the plurality of target areas, meteorological data for the plurality of target areas, and positioning data for the plurality of target areas.
According to the construction method of the dynamic cloud connection pipe system, fusion data are obtained by obtaining fusion perception data of vehicles, fusion perception data of a road side system and service data of a target resource platform, and real-time digital mapping of all elements with different granularities is constructed and updated to obtain real-time digital mapping data of all elements of traffic. Based on partial data and residual data of the data, the data sets constructed through analysis and learning are respectively realized to support statistical analysis non-real-time type cooperative application, and real-time application calculation is carried out by combining preset cloud computing resources to support statistical analysis real-time type cooperative application, so that a dynamic cloud connection pipe system is constructed. Therefore, the problems that group collaborative decision making is difficult to achieve in large-scale networking application and the like are solved, and based on interaction between an OPM (Object-Process method) and a networking cloud control platform, the collaborative application of networking vehicles and intelligent traffic equipment is planned and decided through real-time data, so that the driving safety and the traffic efficiency are improved.
An embodiment of a second aspect of the present application provides a device for constructing a dynamic cloud takeover system, including:
the acquisition module is used for acquiring the fusion perception data of the vehicle, the fusion perception data of the road side system and the service data of the target resource platform;
the fusion module is used for fusing fusion perception data of the vehicle, fusion perception data of the road side system and service data of the target resource platform to obtain fusion data, and constructing and updating full-factor real-time digital mapping with different granularities based on the fusion data to obtain traffic full-factor real-time digital mapping data;
the analysis module is used for constructing a data set based on partial data of the traffic full-factor real-time digital mapping data, analyzing and learning the data set so as to support statistical analysis of non-real-time type cooperative application, and combining residual data of the traffic full-factor real-time digital mapping data with preset cloud computing resources to perform real-time application computing so as to support statistical analysis of real-time type cooperative application; and
and the construction module is used for constructing a dynamic cloud connection pipe system according to the real-time type cooperative application and the non-real-time type cooperative application.
According to an embodiment of the present application, the above apparatus for constructing a dynamic cloud management system further includes:
and the calculation module is used for calculating residual data of the traffic full-factor real-time digital mapping data to obtain a cooperative control instruction, and sending the cooperative control instruction to a perception decision system and the internet-connected traffic equipment in a preset communication mode.
According to an embodiment of the application, the vehicle includes a networked vehicle and a non-networked vehicle, and the obtaining module is specifically configured to:
the method comprises the steps that when the non-networked vehicle runs under a preset same-line rule, steering data, power data and braking data of the non-networked vehicle are obtained;
and performing data fusion on the steering data, the power data and the braking data to obtain fusion perception data of the vehicle.
According to an embodiment of the present application, the roadside system includes a roadside sensing device and a roadside communication device, and the acquiring module is specifically configured to:
performing roadside sensing through the roadside sensing equipment to obtain roadside sensing data;
receiving, by the roadside communication device, fusion perception data of the vehicle sent by the networked vehicle;
and obtaining the fusion perception data of the road side system based on the road side perception data and the fusion perception data of the vehicle.
According to an embodiment of the present application, the obtaining module is specifically configured to:
one or more of map data for a plurality of target areas, traffic management data for the plurality of target areas, meteorological data for the plurality of target areas, and positioning data for the plurality of target areas.
According to the construction device of the dynamic cloud connection pipe system, fusion data are obtained by obtaining fusion perception data of vehicles, fusion perception data of a road side system and service data of a target resource platform, and real-time digital mapping of all elements with different granularities is constructed and updated to obtain real-time digital mapping data of all elements of traffic. Based on partial data and residual data of the data, the data sets constructed through analysis and learning are respectively realized to support statistical analysis non-real-time type cooperative application, and real-time application calculation is carried out by combining preset cloud computing resources to support statistical analysis real-time type cooperative application, so that a dynamic cloud connection pipe system is constructed. Therefore, the problems that group collaborative decision making is difficult to realize in large-scale networking application and the like are solved, and the collaborative application of the networked vehicle and the intelligent traffic equipment is planned and decided through real-time data based on the interaction of the OPM and the networking cloud control platform, so that the driving safety and the traffic efficiency are improved.
An embodiment of a third aspect of the present application provides an electronic device, including: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being configured to perform the method of building a dynamic cloud hosting system as described in the above embodiments.
A fourth aspect of the present application provides a computer-readable storage medium, on which a computer program is stored, where the computer program is executed by a processor, so as to implement the method for building a dynamic cloud takeover system as described in the foregoing embodiments.
Additional aspects and advantages of the present application will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the present application.
Drawings
The foregoing and/or additional aspects and advantages of the present application will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
fig. 1 is a flowchart of a method for constructing a dynamic cloud hosting system according to an embodiment of the present application;
FIG. 2 is an architectural diagram of a dynamic cloud takeover system constructed according to one embodiment of the present application;
FIG. 3 is a schematic diagram of a three-level cloud architecture provided according to an embodiment of the present application;
fig. 4 is a schematic block diagram of a construction apparatus of a dynamic cloud hosting system according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
Reference will now be made in detail to the embodiments of the present application, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the accompanying drawings are illustrative and intended to explain the present application and should not be construed as limiting the present application.
The following describes a method, an apparatus, a device, and a medium for constructing a dynamic cloud hosting system according to an embodiment of the present application with reference to the drawings. In the method, fusion data are obtained by acquiring fusion sensing data of vehicles, fusion sensing data of road side systems and service data of target resource platforms, and real-time digital mapping of all elements with different granularities is constructed and updated to obtain real-time digital mapping data of all elements of traffic. Based on partial data and residual data of the data, the data sets constructed through analysis and learning are respectively realized to support statistical analysis non-real-time type cooperative application, and real-time application calculation is carried out by combining preset cloud computing resources to support statistical analysis real-time type cooperative application, so that a dynamic cloud connection pipe system is constructed. Therefore, the problems that group collaborative decision making is difficult to realize in large-scale networking application and the like are solved, and the collaborative application of the networked vehicle and the intelligent traffic equipment is planned and decided through real-time data based on the interaction of the OPM and the networking cloud control platform, so that the driving safety and the traffic efficiency are improved.
Specifically, fig. 1 is a schematic flow chart of a method for constructing a dynamic cloud connection system according to an embodiment of the present application.
As shown in fig. 1, the method for constructing the dynamic cloud takeover system includes the following steps:
in step S101, fusion sensing data of the vehicle, fusion sensing data of the road side system, and service data of the target resource platform are obtained.
Further, in some embodiments, the vehicle includes a networked vehicle and a non-networked vehicle, and acquiring the fused perception data of the vehicle includes: when the non-networked vehicle runs under a preset co-operation rule, acquiring steering data, power data and braking data of the non-networked vehicle; and performing data fusion on the steering data, the power data and the braking data to obtain fusion perception data of the vehicle.
Further, in some embodiments, the roadside system includes a roadside sensing device and a roadside communication device, and acquiring the fusion sensing data of the roadside system includes: performing roadside sensing through roadside sensing equipment to obtain roadside sensing data; receiving fusion perception data of the vehicle sent by the networked vehicle through roadside communication equipment; and obtaining fusion perception data of the road side system based on the road side perception data and the fusion perception data of the vehicle.
Further, in some embodiments, the service data of the target resource platform includes: one or more of map data for the plurality of target areas, traffic management data for the plurality of target areas, meteorological data for the plurality of target areas, and positioning data for the plurality of target areas.
It should be noted that the network cloud control platform is used as a core component of the dynamic cloud connection pipe system, and the architecture and the functional design of the network cloud control platform need to comprehensively meet the overall requirements of the dynamic cloud connection pipe system. As shown in fig. 2, fig. 2 is a schematic structural diagram of a dynamic cloud takeover system, which defines interaction and cooperative working processes of each auxiliary facility and a networked cloud control platform.
Specifically, the vehicle may include a networked vehicle and a non-networked vehicle, wherein when the non-networked vehicle is in a standard driving state under the condition that the traffic rule is met, the non-networked vehicle acquires steering data, power data and braking data, and performs data fusion to obtain fusion perception data of the vehicle.
The internet-connected vehicle can perform fusion decision and control by receiving control data of the internet-connected cloud control platform and combining vehicle-end fusion sensing data, and performs action execution through each component such as a steering wheel, an accelerator pedal and a brake pedal based on a generated control target; the networked vehicle can receive control data of the networked cloud control platform and operates under the action of a sensing decision system control signal.
Further, as shown in fig. 2, the roadside system may include a roadside sensing device and a roadside communication device, and roadside sensing and information receiving are performed by the roadside sensing device and the roadside communication device respectively to obtain information such as vehicle operating state information and road traffic, that is, the roadside sensing device and the roadside communication device may sense and obtain road test data and fusion sensing data of a vehicle sent by a networked vehicle, and obtain fusion sensing data of the roadside system based on the roadside sensing data and the fusion sensing data of the vehicle.
Further, the service data of the target resource platforms can be one or more of map data of a plurality of target areas, traffic management data of the plurality of target areas, meteorological data of the plurality of target areas and positioning data of the plurality of target areas, and the service data acquired by the target resource platforms are uploaded to the internet cloud control platform directly and wirelessly through a wired or directly through a cellular wireless network for the platform to perform calculation and analysis so as to support various applications and fuse perception decisions.
In step S102, fusion perception data of the vehicle, fusion perception data of the roadside system, and service data of the target resource platform are fused to obtain fusion data, and full-factor real-time digital mapping of different granularities is constructed and updated based on the fusion data to obtain traffic full-factor real-time digital mapping data.
Specifically, the internet cloud control platform fuses the obtained fusion perception data of the vehicle, the fusion perception data of the road side system and the service data of the target resource platform to obtain fusion data, and constructs and updates the fusion data through real-time digital mapping of all elements with different granularities to obtain real-time digital mapping data of all elements of traffic, so as to meet different requirements of different cooperative applications on granularity and quality of perception data.
Specifically, as shown in fig. 3, on the basis of analyzing the whole dynamic cloud connection pipe system and the interactive operation process between the dynamic cloud connection pipe system and the network connection cloud control platform, in order to better support collaborative applications with different requirements on real-time performance and service granularity and perform concurrent real-time operation as required, the network connection cloud control platform adopts a three-level architecture system composed of an edge cloud, a regional cloud and a center cloud to form a cloud computing center with logical collaboration and physical dispersion.
The cloud service system comprises a higher-level cloud, a lower-level cloud and a plurality of cloud service modules, wherein a one-to-many regulation mode is arranged between the higher-level cloud and the lower-level cloud, the real-time performance of each level of cloud service is gradually reduced along with the increase of the system level, and the service strength is gradually increased. The network connection cloud control platform is constructed by adopting a three-level architecture of edge cloud, regional cloud and central cloud, and supports of different application requirements are provided for three types of users such as network connection type automatic driving automobiles, functional departments, industry chain related enterprises and the like through a hierarchical structure guarantee.
The networking cloud control platform takes real-time dynamic data of vehicles, roads, environments and the like as a core and combines data of existing traffic related systems and facilities supporting cloud control application, and provides standardized common basic service for intelligent networking automobile and industry related departments and enterprises.
Specifically, as shown in fig. 3, the edge cloud mainly provides cloud control application basic service for enhancing real-time performance and weak real-time performance of driving safety for the networked automobile; the regional cloud mainly provides basic services of cloud control application such as weak real-time or non-real-time traffic supervision and law enforcement for traffic transportation and traffic management departments, and provides weak real-time services for improving driving efficiency and energy conservation for the networked automobiles; the central cloud is mainly oriented to traffic decision departments, vehicle design and production enterprises, traffic related enterprises and scientific research units, and provides macro traffic data analysis and basic data value-added services.
In step S103, a data set is constructed based on partial data of the traffic full-factor real-time digital mapping data, and the data set is analyzed and learned to support statistical analysis of the non-real-time type cooperative application, and the residual data of the traffic full-factor real-time digital mapping data is combined with preset cloud computing resources to perform real-time application computation to support statistical analysis of the real-time type cooperative application.
Further, in some embodiments, the method for constructing a dynamic cloud takeover system of a dynamic cloud takeover system further includes: and calculating residual data based on the traffic full-factor real-time digital mapping data to obtain a cooperative control instruction, and sending the cooperative control instruction to a perception decision system and the internet-connected traffic equipment in a preset communication mode.
Specifically, based on traffic full-factor real-time digital mapping data, a part of the traffic full-factor real-time digital mapping data is utilized to construct a data set, and the data set is analyzed and learned to support statistical analysis non-real-time type collaborative application; meanwhile, the other part of data is combined with cloud computing resources to perform real-time application computing under the condition of meeting the overall application plan so as to support statistical analysis and real-time type collaborative application. It should be noted that the internet cloud control platform supports real-time cooperative application and non-real-time cooperative application by integrating information, and simultaneously issues a cooperative control instruction obtained by real-time application calculation to the perception decision system and the internet traffic equipment in a cellular wireless manner, so as to determine the actions, traffic signals, facility guidance and the like of the internet automobile. Thus, the system is a two-way interactive system.
In step S104, a dynamic cloud takeover system is constructed according to the real-time-class cooperative application and the non-real-time-class cooperative application dynamic cloud takeover system.
Specifically, through fusion perception data of the vehicle and the road side system and service data of a target resource platform, full-domain high-precision traffic full-element real-time digital mapping data are constructed, and a dynamic cloud connection pipe system of various real-time data required by operation is provided for decision planning and wide collaborative application of the vehicle in the forms of a high-precision dynamic map and the like. That is to say, in the embodiment of the application, the dynamic cloud connection pipe system can be constructed by the real-time type cooperative application and the non-real-time type cooperative application together, so as to improve the traffic efficiency.
In conclusion, the system is an application of an information physical system theory in the field of intelligent networked automobiles, an information mapping layer and a fusion application layer of an information space can be constructed above a physical system layer, vehicle road cloud fusion sensing, decision and control are carried out, and comprehensive improvement of performances such as safety, efficiency and the like of vehicle running and traffic operation is achieved.
According to the construction method of the dynamic cloud connection pipe system, fusion data are obtained by obtaining fusion perception data of vehicles, fusion perception data of a road side system and service data of a target resource platform, and real-time digital mapping of all elements with different granularities is constructed and updated to obtain real-time digital mapping data of all elements of traffic. Based on partial data and residual data of the data, the data sets constructed through analysis and learning are respectively realized to support statistical analysis non-real-time type cooperative application, and real-time application calculation is carried out by combining preset cloud computing resources to support statistical analysis real-time type cooperative application, so that a dynamic cloud connection pipe system is constructed. Therefore, the problems that group collaborative decision making is difficult to realize in large-scale networking application and the like are solved, and the collaborative application of the networked vehicle and the intelligent traffic equipment is planned and decided through real-time data based on the interaction of the OPM and the networking cloud control platform, so that the driving safety and the traffic efficiency are improved.
Next, a construction apparatus of a dynamic cloud hosting system proposed according to an embodiment of the present application is described with reference to the drawings.
Fig. 4 is a block diagram illustrating a building apparatus of a dynamic cloud hosting system according to an embodiment of the present application.
As shown in fig. 4, the construction apparatus 10 of the dynamic cloud hosting system includes: an acquisition module 100, a fusion module 200, an analysis module 300 and a construction module 400.
The acquisition module 100 is configured to acquire fusion sensing data of a vehicle, fusion sensing data of a road side system, and service data of a target resource platform;
the fusion module 200 is configured to fuse the fusion sensing data of the vehicle, the fusion sensing data of the road side system, and the service data of the target resource platform to obtain fusion data, and construct and update full-factor real-time digital mappings with different granularities based on the fusion data to obtain traffic full-factor real-time digital mapping data;
the analysis module 300 is configured to construct a data set based on partial data of the traffic full-factor real-time digital mapping data, analyze and learn the data set to support statistical analysis of non-real-time type collaborative applications, and perform real-time application calculation based on the residual data of the traffic full-factor real-time digital mapping data in combination with preset cloud computing resources to support statistical analysis of real-time type collaborative applications; and
the building module 400 is configured to build a dynamic cloud management system according to the real-time-class cooperative application and the non-real-time-class cooperative application.
Further, in some embodiments, the building apparatus 10 of the dynamic cloud hosting system further includes:
and the calculation module is used for calculating residual data of the traffic full-factor real-time digital mapping data to obtain a cooperative control instruction, and sending the cooperative control instruction to the perception decision system and the internet traffic equipment in a preset communication mode.
Further, in some embodiments, the vehicle includes a networked vehicle and a non-networked vehicle, and the obtaining module 100 is specifically configured to:
when the non-networked vehicle runs under a preset co-operation rule, acquiring steering data, power data and braking data of the non-networked vehicle;
and performing data fusion on the steering data, the power data and the braking data to obtain fusion perception data of the vehicle.
Further, in some embodiments, the roadside system includes a roadside sensing device and a roadside communication device, and the obtaining module 100 is specifically configured to:
performing roadside sensing through roadside sensing equipment to obtain roadside sensing data;
receiving fusion perception data of the vehicle sent by the networked vehicle through roadside communication equipment;
and obtaining the fused sensing data of the road side system based on the road side sensing data and the fused sensing data of the vehicle.
Further, in some embodiments, the obtaining module 100 is specifically configured to:
one or more of map data for the plurality of target areas, traffic management data for the plurality of target areas, meteorological data for the plurality of target areas, and positioning data for the plurality of target areas.
According to the construction device of the dynamic cloud connection pipe system, fusion data are obtained by obtaining fusion perception data of vehicles, fusion perception data of a road side system and service data of a target resource platform, and real-time digital mapping of all elements with different granularities is constructed and updated to obtain real-time digital mapping data of all elements of traffic. Based on partial data and residual data of the data, the data sets constructed through analysis and learning are respectively realized to support statistical analysis non-real-time type cooperative application, and real-time application calculation is carried out by combining preset cloud computing resources to support statistical analysis real-time type cooperative application, so that a dynamic cloud connection pipe system is constructed. Therefore, the problems that group collaborative decision making is difficult to achieve in large-range networking application and the like are solved, and based on interaction of the OPM and the networking cloud control platform, collaborative application of networking vehicles and intelligent traffic equipment is planned and decided through real-time data, and driving safety and traffic efficiency are improved.
Fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present application. The electronic device may include:
The processor 502 executes the program to implement the method for constructing the dynamic cloud hosting system provided in the above embodiments.
Further, the electronic device further includes:
a communication interface 503 for communication between the memory 501 and the processor 502.
A memory 501 for storing computer programs that can be run on the processor 502.
The memory 501 may comprise high-speed RAM memory, and may also include non-volatile memory (non-volatile memory), such as at least one disk memory.
If the memory 501, the processor 502 and the communication interface 503 are implemented independently, the communication interface 503, the memory 501 and the processor 502 may be connected to each other through a bus and perform communication with each other. The bus may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, an Extended ISA (EISA) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown in FIG. 5, but this is not intended to represent only one bus or type of bus.
Optionally, in a specific implementation, if the memory 501, the processor 502, and the communication interface 503 are integrated on a chip, the memory 501, the processor 502, and the communication interface 503 may complete communication with each other through an internal interface.
The processor 502 may be a Central Processing Unit (CPU), an Application Specific Integrated Circuit (ASIC), or one or more Integrated circuits configured to implement embodiments of the present Application.
The embodiment of the application also provides a computer readable storage medium, on which a computer program is stored, and when the program is executed by a processor, the method for constructing the dynamic cloud takeover system is implemented.
In the description herein, reference to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the application. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or N embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present application, "N" means at least two, e.g., two, three, etc., unless specifically limited otherwise.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more N executable instructions for implementing steps of a custom logic function or process, and alternate implementations are included within the scope of the preferred embodiment of the present application in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of implementing the embodiments of the present application.
It should be understood that portions of the present application may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the N steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. If implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware that is related to instructions of a program, and the program may be stored in a computer-readable storage medium, and when executed, the program includes one or a combination of the steps of the method embodiments.
Claims (10)
1. A construction method of a dynamic cloud takeover system is characterized by comprising the following steps:
acquiring fusion perception data of a vehicle, fusion perception data of a road side system and service data of a target resource platform;
fusing the fusion perception data of the vehicle, the fusion perception data of the road side system and the service data of the target resource platform to obtain fusion data, and constructing and updating full-factor real-time digital mapping with different granularities based on the fusion data to obtain traffic full-factor real-time digital mapping data;
constructing a data set based on partial data of the traffic full-factor real-time digital mapping data, analyzing and learning the data set to support statistical analysis of non-real-time type cooperative application, and combining residual data of the traffic full-factor real-time digital mapping data with preset cloud computing resources to perform real-time application calculation to support statistical analysis of real-time type cooperative application; and
and constructing a dynamic cloud connection pipe system according to the real-time type cooperative application and the non-real-time type cooperative application.
2. The method of claim 1, further comprising:
and calculating residual data based on the traffic full-element real-time digital mapping data to obtain a cooperative control instruction, and sending the cooperative control instruction to a perception decision system and an internet communication device in a preset communication mode.
3. The method of claim 1, wherein the vehicles comprise networked vehicles and non-networked vehicles, and acquiring the fused perception data of the vehicles comprises:
the method comprises the steps that when the non-networked vehicle runs under a preset same-line rule, steering data, power data and braking data of the non-networked vehicle are obtained;
and performing data fusion on the steering data, the power data and the braking data to obtain fusion perception data of the vehicle.
4. The method according to claim 3, wherein the roadside system comprises a roadside sensing device and a roadside communication device, and acquiring the fused sensing data of the roadside system comprises:
performing roadside sensing through the roadside sensing equipment to obtain roadside sensing data;
receiving, by the roadside communication device, fusion perception data of the vehicle sent by the networked vehicle;
and obtaining the fusion perception data of the road side system based on the road side perception data and the fusion perception data of the vehicle.
5. The method of claim 4, wherein the service data of the target resource platform comprises:
one or more of map data for a plurality of target areas, traffic management data for the plurality of target areas, meteorological data for the plurality of target areas, and positioning data for the plurality of target areas.
6. A device for constructing a dynamic cloud-based cloud management system is characterized by comprising:
the acquisition module is used for acquiring the fusion perception data of the vehicle, the fusion perception data of the road side system and the service data of the target resource platform;
the fusion module is used for fusing fusion perception data of the vehicle, fusion perception data of the road side system and service data of the target resource platform to obtain fusion data, and constructing and updating full-factor real-time digital mapping with different granularities based on the fusion data to obtain traffic full-factor real-time digital mapping data;
the analysis module is used for constructing a data set based on partial data of the traffic full-factor real-time digital mapping data, analyzing and learning the data set so as to support statistical analysis of non-real-time type cooperative application, and combining residual data of the traffic full-factor real-time digital mapping data with preset cloud computing resources to perform real-time application computing so as to support statistical analysis of real-time type cooperative application; and
and the construction module is used for constructing a dynamic cloud connection pipe system according to the real-time type cooperative application and the non-real-time type cooperative application.
7. The apparatus of claim 6, further comprising:
and the calculation module is used for calculating residual data of the traffic full-factor real-time digital mapping data to obtain a cooperative control instruction, and sending the cooperative control instruction to a perception decision system and the internet-connected traffic equipment in a preset communication mode.
8. The apparatus of claim 6, wherein the vehicles comprise networked vehicles and non-networked vehicles, and the obtaining module is specifically configured to:
the method comprises the steps that when the non-networked vehicle runs under a preset same-line rule, steering data, power data and braking data of the non-networked vehicle are obtained;
and performing data fusion on the steering data, the power data and the braking data to obtain fusion perception data of the vehicle.
9. An electronic device, comprising: a memory, a processor and a computer program stored on the memory and executable on the processor, the processor executing the program to implement the method of constructing a dynamic cloud hosting system according to any one of claims 1 to 5.
10. A computer-readable storage medium on which a computer program is stored, the program being executed by a processor for implementing the method of constructing a dynamic cloud hosting system according to any one of claims 1 to 5.
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