Data communication method and device applied to vehicle-road cooperation

Abstract

The application discloses a data communication method and device applied to vehicle-road cooperation, and the method comprises the following steps: determining a plurality of communication devices corresponding to a target area according to a plurality of sensing devices in the target area; constructing a digital traffic system corresponding to the target area based on all the communication devices and all the sensing devices; collecting road data of the target area based on all the sensing devices; and performing a data communication operation on the road data of the target area based on the digital traffic system corresponding to the target area according to determined road data communication parameters. It can be seen that the application can improve the data transmission efficiency of vehicle-road cooperation and is beneficial to improving the road management efficiency.

Description

Technical Field

[0001] This invention relates to the field of communication technology, and in particular to a data communication method and apparatus for vehicle-road cooperative systems. Background Technology

[0002] Vehicle-road cooperation is a safe, efficient, and environmentally friendly road traffic system. It uses technologies such as wireless communication and the next-generation Internet to implement dynamic real-time information interaction between vehicles and roads in all aspects. Based on the collection and fusion of dynamic traffic information in all time and space, it carries out active safety control of vehicles and cooperative road management, fully realizing the effective coordination of people, vehicles, and roads, ensuring traffic safety, and improving traffic efficiency.

[0003] However, practice has shown that existing vehicle-road cooperative systems involve large amounts of data transmission between vehicles and roads. Long network transmission delays can lead to reduced data transmission efficiency, impacting road management. Therefore, proposing a technical solution to improve data transmission efficiency in vehicle-road cooperative systems, thereby enhancing road management efficiency, is of paramount importance. Summary of the Invention

[0004] The technical problem to be solved by the present invention is to provide a data communication method and device for vehicle-road cooperation, which can improve the data transmission efficiency of vehicle-road cooperation and is conducive to improving road management efficiency.

[0005] To address the aforementioned technical problems, the first aspect of this invention discloses a data communication method for vehicle-road cooperative systems, the method comprising:

[0006] Based on the multiple sensing devices within the target area, determine the multiple communication devices corresponding to the target area;

[0007] Based on all the aforementioned communication devices and all the aforementioned sensing devices, a digital transportation system corresponding to the target area is constructed.

[0008] Based on all the aforementioned sensing devices, road data for the target area is collected;

[0009] Based on the determined road data communication parameters, and using the digital transportation system corresponding to the target area, data communication operations are performed on the road data of the target area.

[0010] As an optional implementation, in the first aspect of the present invention, all the communication devices include a plurality of XGS-PON devices, wherein the XGS-PON devices include one of OLT devices, OBD devices, ONU devices, switches, and routers; and the switches include one of a first switch, a second switch, and a third switch.

[0011] The step of constructing a digital transportation system corresponding to the target area based on all the communication devices and all the sensing devices includes:

[0012] Based on all the aforementioned sensing devices, a sensing layer corresponding to the target area is constructed;

[0013] Based on multiple of the aforementioned communication devices, a data backhaul layer corresponding to the target area is constructed.

[0014] Based on the identified multiple edge computing nodes, an edge computing layer corresponding to the target region is constructed.

[0015] Based on the identified data management platform, a platform layer corresponding to the target area is constructed. The platform layer includes a public security platform and a road data operation platform, and there is a two-way security boundary between the public security platform and the road data operation platform.

[0016] The perception layer is connected to the data backhaul layer, and the data backhaul layer is connected to the edge computing layer based on the second switch, and the edge computing layer is connected to the platform layer based on the router;

[0017] Based on the perception layer, the data backhaul layer, the edge computing layer, and the platform layer, a digital transportation system corresponding to the target area is constructed.

[0018] As an optional implementation, in the first aspect of the present invention, for the data backhaul layer, the data backhaul layer includes at least one OLT device pair, a plurality of OBD devices, and a plurality of ONU devices; each OLT device pair includes two OLT devices; one ONU device is connected to each first switch; one OBD device is connected to each ONU device; one OLT device pair is connected to each OBD device; and a second switch pair is connected to each OLT device, each second switch pair including two second switches; wherein the optical splitting method corresponding to the data backhaul layer is a single-level optical splitting method.

[0019] For the edge computing layer, each of the second switch pairs is connected to one edge computing node; each edge computing node is connected to a convergence router pair, the convergence router pair comprising two routers; the convergence router pair is connected to the public security platform of the platform layer.

[0020] As an optional implementation, in the first aspect of the present invention, constructing a sensing layer corresponding to the target area based on all the sensing devices includes:

[0021] Based on the device type of all the sensing devices, all the sensing devices are divided into at least two sets of sensing devices;

[0022] For each set of sensing devices, the access method of the set of sensing devices with respect to the data backhaul layer is determined according to the device type corresponding to the set of sensing devices.

[0023] For each set of sensing devices, the set of sensing devices is connected to the data backhaul layer based on the access method corresponding to the set of sensing devices.

[0024] Specifically, for each set of sensing devices, determining the access method of the sensing device set with respect to the data backhaul layer based on the device type corresponding to the sensing device set includes:

[0025] For each set of sensing devices, when the device type corresponding to the set of sensing devices is a road segment device type, the access method of the set of sensing devices with respect to the data backhaul layer is determined to be that each sensing device in the set of sensing devices is connected to one of the ONU devices in the data backhaul layer.

[0026] For each set of sensing devices, when the device type corresponding to the set of sensing devices is the intersection device type, the access method of the set of sensing devices with respect to the data backhaul layer is determined to be that all the sensing devices in the set of sensing devices are connected to one of the first switches and connected to one of the ONU devices in the data backhaul layer based on the first switch.

[0027] As an optional implementation, in the first aspect of the present invention, determining multiple communication devices corresponding to the target area based on multiple sensing devices within the acquired target area includes:

[0028] Obtain device parameters corresponding to multiple sensing devices within the determined target area. The device parameters corresponding to each sensing device include one or more combinations of the following: the service type corresponding to the sensing device, the application scenario corresponding to the sensing device, the device type of the sensing device, and the bandwidth of the sensing device.

[0029] Based on the equipment parameters corresponding to all the sensing devices and the pre-determined construction planning information corresponding to the target area, the selection requirements for communication equipment corresponding to the target area are analyzed. The selection requirements for communication equipment include one or more combinations of backhaul traffic requirements, transmission speed requirements, and maintenance requirements.

[0030] Based on the communication equipment selection requirements corresponding to the target area, determine the communication equipment information corresponding to the target area;

[0031] Based on the communication device information corresponding to the target area, determine multiple communication devices corresponding to the target area.

[0032] As an optional implementation, in the first aspect of the present invention, the method further includes:

[0033] When at least one vehicle is detected in the target area, for each vehicle, it is determined whether the vehicle is connected to the digital transportation system.

[0034] For each of the aforementioned vehicles, when it is determined that the vehicle has been connected to the digital transportation system, the vehicle is identified as the target vehicle.

[0035] Based on all the target vehicles, collect vehicle data corresponding to the target area;

[0036] Based on the determined vehicle data communication parameters, and using the digital transportation system corresponding to the target area, data communication operations are performed on the vehicle data in the target area.

[0037] As an optional implementation, in the first aspect of the present invention, the method further includes:

[0038] By analyzing the road data and the vehicle data, at least one road condition scenario corresponding to the target area can be obtained;

[0039] For each road condition scenario, target road data corresponding to the road condition scenario is filtered from the road data, and target vehicle data corresponding to the road condition scenario is filtered from the vehicle data;

[0040] For each road condition scenario, a first time set of target road data corresponding to the road condition scenario and a second time set of target vehicle data corresponding to the road condition scenario are compared to obtain a time comparison result for the road condition scenario; the first time set includes a first sensing acquisition time and a first communication reception time; the second time set includes a second sensing acquisition time and a second communication reception time.

[0041] For each road condition scenario, based on the time comparison result corresponding to the road condition scenario, it is determined whether there is a network delay in the data communication operation of the digital transportation system for that road condition scenario;

[0042] For each road condition scenario, when it is determined that there is a network delay in the data communication operation of the digital transportation system for that road condition scenario, the corresponding communication fault of the digital transportation system is analyzed based on the time comparison results and the digital transportation system.

[0043] A second aspect of the present invention discloses a data communication device for vehicle-road cooperation, the device comprising:

[0044] The determination module is used to determine multiple communication devices corresponding to the target area based on the multiple sensing devices within the target area.

[0045] The system construction module is used to construct a digital transportation system corresponding to the target area based on all the communication devices and all the sensing devices.

[0046] The acquisition module is used to acquire road data of the target area based on all the sensing devices.

[0047] The data communication module is used to perform data communication operations on the road data of the target area based on the determined road data communication parameters and the digital transportation system corresponding to the target area.

[0048] As an optional implementation, in the second aspect of the present invention, all the communication devices include a plurality of XGS-PON devices, wherein the XGS-PON devices include one of OLT devices, OBD devices, ONU devices, switches, and routers; and the switches include one of a first switch, a second switch, and a third switch.

[0049] The specific methods by which the system construction module constructs the digital transportation system corresponding to the target area based on all the communication devices and all the sensing devices include:

[0050] Based on all the aforementioned sensing devices, a sensing layer corresponding to the target area is constructed;

[0051] Based on multiple of the aforementioned communication devices, a data backhaul layer corresponding to the target area is constructed.

[0052] Based on the identified multiple edge computing nodes, an edge computing layer corresponding to the target region is constructed.

[0053] Based on the identified data management platform, a platform layer corresponding to the target area is constructed. The platform layer includes a public security platform and a road data operation platform, and there is a two-way security boundary between the public security platform and the road data operation platform.

[0054] The perception layer is connected to the data backhaul layer, and the data backhaul layer is connected to the edge computing layer based on the second switch, and the edge computing layer is connected to the platform layer based on the router;

[0055] Based on the perception layer, the data backhaul layer, the edge computing layer, and the platform layer, a digital transportation system corresponding to the target area is constructed.

[0056] As an optional implementation, in a second aspect of the present invention, for the data backhaul layer, the data backhaul layer includes at least one OLT device pair, a plurality of OBD devices, and a plurality of ONU devices; each OLT device pair includes two OLT devices; one ONU device is connected to each first switch; one OBD device is connected to each ONU device; one OLT device pair is connected to each OBD device; and a second switch pair is connected to each OLT device, each second switch pair including two second switches; wherein the optical splitting method corresponding to the data backhaul layer is a single-level optical splitting method.

[0057] For the edge computing layer, each of the second switch pairs is connected to one edge computing node; each edge computing node is connected to a convergence router pair, the convergence router pair comprising two routers; the convergence router pair is connected to the public security platform of the platform layer.

[0058] As an optional implementation, in the second aspect of the present invention, the system construction module constructs the perception layer corresponding to the target area based on all the sensing devices in the following specific ways:

[0059] Based on the device type of all the sensing devices, all the sensing devices are divided into at least two sets of sensing devices;

[0060] For each set of sensing devices, the access method of the set of sensing devices with respect to the data backhaul layer is determined according to the device type corresponding to the set of sensing devices.

[0061] For each set of sensing devices, the set of sensing devices is connected to the data backhaul layer based on the access method corresponding to the set of sensing devices.

[0062] Specifically, for each set of sensing devices, the system construction module determines the specific method of accessing the data backhaul layer for that set of sensing devices based on the device type corresponding to that set, including:

[0063] For each set of sensing devices, when the device type corresponding to the set of sensing devices is a road segment device type, the access method of the set of sensing devices with respect to the data backhaul layer is determined to be that each sensing device in the set of sensing devices is connected to one of the ONU devices in the data backhaul layer.

[0064] For each set of sensing devices, when the device type corresponding to the set of sensing devices is the intersection device type, the access method of the set of sensing devices with respect to the data backhaul layer is determined to be that all the sensing devices in the set of sensing devices are connected to one of the first switches and connected to one of the ONU devices in the data backhaul layer based on the first switch.

[0065] As an optional implementation, in the second aspect of the present invention, the specific method by which the determining module determines multiple communication devices corresponding to the target area based on the acquired multiple sensing devices within the target area includes:

[0066] Obtain device parameters corresponding to multiple sensing devices within the determined target area. The device parameters corresponding to each sensing device include one or more combinations of the following: the service type corresponding to the sensing device, the application scenario corresponding to the sensing device, the device type of the sensing device, and the bandwidth of the sensing device.

[0067] Based on the equipment parameters corresponding to all the sensing devices and the pre-determined construction planning information corresponding to the target area, the selection requirements for communication equipment corresponding to the target area are analyzed. The selection requirements for communication equipment include one or more combinations of backhaul traffic requirements, transmission speed requirements, and maintenance requirements.

[0068] Based on the communication equipment selection requirements corresponding to the target area, determine the communication equipment information corresponding to the target area;

[0069] Based on the communication device information corresponding to the target area, determine multiple communication devices corresponding to the target area.

[0070] As an optional implementation, in a second aspect of the invention, the apparatus further includes:

[0071] The judgment module is used to determine whether a vehicle has been connected to the digital transportation system for each vehicle when at least one vehicle is detected in the target area.

[0072] The determining module is further configured to, for each of the vehicles in motion, determine the vehicle as the target vehicle when the judging module determines that the vehicle in motion has been connected to the digital transportation system;

[0073] The acquisition module is also used to acquire vehicle data corresponding to the target area based on all the target vehicles;

[0074] The data communication module is further configured to perform data communication operations on vehicle data in the target area based on the determined vehicle data communication parameters and the digital transportation system corresponding to the target area.

[0075] As an optional implementation, in a second aspect of the invention, the apparatus further includes:

[0076] The analysis module is used to analyze the road data and the vehicle data to obtain at least one road condition scene corresponding to the target area;

[0077] The filtering module is used to filter out the target road data corresponding to each road condition scenario from the road data and to filter out the target vehicle data corresponding to each road condition scenario from the vehicle data.

[0078] The comparison module is used to compare, for each road condition scenario, a first time set of target road data corresponding to that road condition scenario and a second time set of target vehicle data corresponding to that road condition scenario to obtain a time comparison result corresponding to that road condition scenario; the first time set includes a first sensing acquisition time and a first communication reception time; the second time set includes a second sensing acquisition time and a second communication reception time.

[0079] The judgment module is also used to determine, for each road condition scenario, whether there is a network delay in the data communication operation of the digital transportation system for that road condition scenario, based on the time comparison result corresponding to that road condition scenario.

[0080] The analysis module is further configured to, for each road condition scenario, when the judgment module determines that there is a network delay in the data communication operation of the digital transportation system for that road condition scenario, analyze the corresponding communication fault of the digital transportation system based on the time comparison result and the digital transportation system.

[0081] A third aspect of the present invention discloses another data communication device for vehicle-road cooperation, the device comprising:

[0082] Memory containing executable program code;

[0083] A processor coupled to the memory;

[0084] The processor calls the executable program code stored in the memory to execute the data communication method for vehicle-road cooperation disclosed in the first aspect of the present invention.

[0085] The fourth aspect of the present invention discloses a computer storage medium storing computer instructions, which, when invoked, are used to execute the data communication method for vehicle-road cooperative systems disclosed in the first aspect of the present invention.

[0086] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0087] In this embodiment of the invention, multiple communication devices corresponding to the target area are determined based on multiple sensing devices within the target area; a digital transportation system corresponding to the target area is constructed based on all communication devices and all sensing devices; road data of the target area is collected based on all sensing devices; and data communication operations are performed on the road data of the target area based on the determined road data communication parameters and the digital transportation system corresponding to the target area. Therefore, implementing this invention can determine multiple communication devices corresponding to the target devices based on multiple sensing devices within the target area, and construct a digital transportation system corresponding to the target area based on all communication devices and all sensing devices. After the sensing devices collect road data of the target area, data communication operations are performed on the road data based on the road data communication parameters and the digital transportation system corresponding to the target area, realizing the intelligent construction of the digital transportation system. This improves the vehicle-road cooperative system, and data communication on the digital transportation system can improve the reliability and efficiency of vehicle-road cooperative data communication, thereby improving the data processing efficiency of vehicle-road cooperative systems, which in turn improves road management efficiency and facilitates the construction of digital cities. Attached Figure Description

[0088] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0089] Figure 1 This is a flowchart illustrating a data communication method for vehicle-road cooperation disclosed in an embodiment of the present invention;

[0090] Figure 2 This is a flowchart illustrating another data communication method for vehicle-road cooperation disclosed in an embodiment of the present invention;

[0091] Figure 3 This is a schematic diagram of the structure of a data communication device for vehicle-road cooperation disclosed in an embodiment of the present invention;

[0092] Figure 4 This is a schematic diagram of another data communication device for vehicle-road cooperation disclosed in an embodiment of the present invention;

[0093] Figure 5 This is a schematic diagram of another data communication device for vehicle-road cooperation disclosed in an embodiment of the present invention. Detailed Implementation

[0094] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0095] The terms "first," "second," etc., used in the specification, claims, and accompanying drawings of this invention are used to distinguish different objects, not to describe a specific order. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, apparatus, product, or end that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to these processes, methods, products, or ends.

[0096] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of the invention. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0097] This invention discloses a data communication method and apparatus for vehicle-road cooperative systems. It can determine multiple communication devices corresponding to a target device based on multiple sensing devices within a target area, and construct a digital transportation system corresponding to the target area based on all communication devices and all sensing devices. After the sensing devices collect road data of the target area, data communication operations are performed on the road data according to road data communication parameters and based on the digital transportation system corresponding to the target area. This realizes the intelligent construction of the digital transportation system, thereby improving the vehicle-road cooperative system. Data communication on the digital transportation system can improve the reliability and efficiency of vehicle-road cooperative data communication, thus improving the data processing efficiency of vehicle-road cooperative systems, which in turn improves road management efficiency and facilitates the construction of digital cities. Detailed descriptions follow.

[0098] Example 1

[0099] Please see Figure 1 , Figure 1 This is a flowchart illustrating a data communication method for vehicle-road cooperation disclosed in an embodiment of the present invention. Figure 1The described data communication method for vehicle-road cooperation can be applied to data communication devices for vehicle-road cooperation. These devices may include one of a data communication equipment, a data communication terminal, a data communication system, and a server. The server may include a local server or a cloud server. This method can also be applied to vehicle-road cooperative systems or digital transportation systems, and further to digital city systems. The embodiments of this invention are not limited to these applications. Figure 1 As shown, the data communication method applied to vehicle-road cooperation may include the following operations:

[0100] 101. Based on the multiple sensing devices within the target area, determine the multiple communication devices corresponding to the target area.

[0101] In this embodiment of the invention, the target area can be an area containing traffic roads, and the sensing devices can include one or more combinations of vehicle-road cooperative devices, lighting and pole devices, and traffic management devices. The vehicle-road cooperative devices can include one or more combinations of RSU (Road Side Unit), radar, cameras, and traffic weather stations. The lighting and pole devices can include smart light poles and / or sensing devices. The traffic management devices can include one or more combinations of signal controllers, multi-functional bullet cameras, electronic license plate readers, speed cameras, and horn-capturing cameras. This embodiment of the invention does not limit the scope of the invention.

[0102] 102. Based on all communication devices and all sensing devices, construct a digital transportation system corresponding to the target area.

[0103] In this embodiment of the invention, the digital transportation system may include a gigabit optical network architecture.

[0104] 103. Collect road data for the target area based on all sensing devices.

[0105] 104. Based on the determined road data communication parameters, and using the digital transportation system corresponding to the target area, perform data communication operations on the road data of the target area.

[0106] In this embodiment of the invention, the road data communication parameters may include one or more combinations of data communication nodes, data communication methods, data communication bandwidth, data communication rate, and data communication delay.

[0107] As can be seen, the method described in the embodiments of the present invention can determine multiple communication devices corresponding to the target devices based on multiple sensing devices within the target area, and construct a digital transportation system corresponding to the target area based on all communication devices and all sensing devices. After the sensing devices collect road data of the target area, data communication operations are performed on the road data according to the road data communication parameters and based on the digital transportation system corresponding to the target area, thereby realizing the intelligent construction of the digital transportation system, thus improving the vehicle-road cooperative system. Data communication on the digital transportation system can improve the reliability and efficiency of vehicle-road cooperative data communication, which is conducive to improving the data processing efficiency of vehicle-road cooperation, and thus conducive to improving road management efficiency and building a digital city.

[0108] In an optional embodiment, all communication devices include multiple XGS-PON devices, which include one of OLT devices, OBD devices, ONU devices, switches, and routers; the switches include one of a first switch, a second switch, and a third switch.

[0109] The construction of a digital transportation system for the target area, based on all communication and sensing devices, may include the following operations:

[0110] Based on all sensing devices, construct the sensing layer corresponding to the target area;

[0111] Based on multiple communication devices, a data backhaul layer corresponding to the target area is constructed.

[0112] Based on the identified multiple edge computing nodes, construct the edge computing layer corresponding to the target region;

[0113] Based on the established data management platform, a platform layer corresponding to the target area is constructed. The platform layer includes a public security platform and a road data operation platform, and there is a two-way security boundary between the public security platform and the road data operation platform.

[0114] The perception layer is connected to the data backhaul layer, and the data backhaul layer is connected to the edge computing layer based on the second switch, and the edge computing layer is connected to the platform layer based on the router.

[0115] Based on the perception layer, data backhaul layer, edge computing layer, and platform layer, a digital transportation system corresponding to the target area is constructed.

[0116] It should be noted that XGS-PON technology is an evolution of GPON (Gigabit-Capable PON, broadband passive optical access technology). Its uplink transmission latency is no more than 1.5ms, and its downlink transmission latency is no more than 1ms. The maximum uplink and downlink transmission rates can reach 10Gbit / s. OLT equipment stands for Optical Line Terminal; OBD equipment stands for Optical Branching Device; and ONU equipment stands for Optical Network Unit.

[0117] The perception layer is used to collect road data in the target area and upload the road data to the data backhaul layer. The data backhaul layer is used to send the road data collected by the perception layer back to the edge computing layer. The edge computing layer is used to analyze and process the road data and send the processed data to the platform layer. The platform layer is used to manage and process the received data.

[0118] Optionally, the first switch can be located in the perception layer and can be used to connect the perception layer to the data backhaul layer; further optionally, the first switch can be an access switch, the second switch can be an aggregation switch, and the third switch can be a core switch, but the embodiments of the present invention are not limited thereto.

[0119] Optionally, horizontal stacking is supported between the second switches.

[0120] As can be seen, this optional embodiment can construct a perception layer based on sensing devices, a data backhaul layer based on communication devices, an edge computing layer based on edge computing nodes, and a platform layer based on a data management platform. It connects the perception layer to the data backhaul layer, connects the data backhaul layer to the edge computing layer based on a second switch, and connects the edge computing layer to the platform layer based on a router. Then, based on the perception layer, data backhaul layer, edge computing layer, and platform layer, it constructs a digital transportation system corresponding to the target area, realizing the hierarchical construction of the digital transportation system. This improves the accuracy and reliability of the construction of the digital transportation system, thereby improving the reliability and efficiency of vehicle-road cooperative data communication, and further improving the data processing efficiency of vehicle-road cooperative systems.

[0121] In this optional embodiment, optionally, for the data backhaul layer, the data backhaul layer includes at least one OLT device pair, multiple OBD devices, and multiple ONU devices; each OLT device pair includes two OLT devices; each first switch connects to one ONU device; each ONU device connects to one OBD device; each OBD device connects to one OLT device pair; each OLT device connects to one second switch pair, and each second switch pair includes two second switches; wherein, the optical splitting method corresponding to the data backhaul layer is a single-level optical splitting method;

[0122] For the edge computing layer, each second switch pair connects to an edge computing node; each edge computing node connects to an aggregation router pair, which consists of two routers; the aggregation router pair connects to the public security platform of the platform layer.

[0123] Optionally, for the edge computing layer, the edge computing node may include a third switch, and the third switch may be connected to the aggregation router pair.

[0124] In this embodiment, both the OLT device and the OBD device are networked in a dual-homed manner, and each OBD device in the data backhaul layer is connected to an OLT device for dual uplink protection of the optical splitter. Optionally, the splitting ratio of the optical splitter can be 1:16. Optionally, the OLT device uses a 2*10G link, which is not limited in this embodiment.

[0125] Optionally, the optical cable construction mode corresponding to the digital transportation system can be the optical cable ring mode.

[0126] Optionally, the looped optical cable in the aggregation room (i.e., the room where the second switch is located) can be a 288-core optical cable, the optical cable from the aggregation room to the access room (i.e., the room where the first switch is located) can be a 144-core optical cable, the optical cable from the OLT device to the edge computing node can be a 48-core optical cable, the optical cable from the OLT device to the OBD device can be a 24-core optical cable, and the optical cable from the OBD device to the ONU device can be a 12-core optical cable. This embodiment of the invention does not impose any limitations.

[0127] As can be seen, this optional embodiment can also describe the connection relationship between OLT device pairs, OBD devices and ONU devices in the data backhaul layer, and the connection relationship between edge computing nodes and second switches and aggregation router pairs in the edge computing layer, as well as the connection relationship between aggregation router pairs and the platform layer. It can further describe the construction process of the digital transportation system in detail, further improve the reliability of the digital transportation system, and improve the data transmission efficiency and data communication carrying capacity of vehicle-road cooperation, which is conducive to improving the stability and reliability of data communication in vehicle-road cooperation.

[0128] In this optional embodiment, further optionally, constructing a sensing layer corresponding to the target area based on all sensing devices may include the following operations:

[0129] Based on the device type of all sensing devices, all sensing devices are divided into at least two sensing device sets;

[0130] For each set of sensing devices, the access method of the set of sensing devices with respect to the data backhaul layer is determined according to the device type corresponding to the set of sensing devices;

[0131] For each set of sensing devices, the set of sensing devices is connected to the data backhaul layer based on the access method corresponding to that set of sensing devices;

[0132] For each set of sensing devices, the access method of the set of sensing devices with respect to the data backhaul layer is determined according to the device type corresponding to the set of sensing devices, which may include the following operations:

[0133] For each set of sensing devices, when the device type corresponding to the set of sensing devices is a road segment device type, the access method of the set of sensing devices with respect to the data backhaul layer is determined to be that each sensing device in the set of sensing devices is connected to one of the ONU devices in the data backhaul layer.

[0134] For each set of sensing devices, when the device type corresponding to the set of sensing devices is the intersection device type, the access method of the set of sensing devices with respect to the data backhaul layer is determined to be that all sensing devices in the set of sensing devices are connected to one of the first switches and connected to one of the ONU devices in the data backhaul layer based on the first switch.

[0135] For example, when the device type corresponding to a certain set of sensing devices is a road segment device type, and the set of sensing devices includes multiple smart light poles, each of which may include multiple sensing devices, then each smart light pole is connected to an ONU device in the data backhaul layer; when the device type corresponding to a certain set of sensing devices is an intersection device type, and the set of sensing devices includes multiple traffic lights and / or surveillance cameras, then all sensing devices in the set of sensing devices are connected to one of the first switches between the sensing layer and the data backhaul layer, and are connected to one of the ONU devices in the data backhaul layer through the first switch.

[0136] Optionally, the sensing devices of the road segment type and the sensing devices of the intersection type can share the same OLT device pair in the data backhaul layer, and the data of the two types of sensing devices can be isolated by dividing VLANs.

[0137] As can be seen, this optional embodiment can also divide the sensing device set according to the device type of the sensing device, and determine the access method of the sensing device set with respect to the data backhaul layer according to the device type corresponding to each sensing device set. Then, based on the access method corresponding to the sensing device set, the sensing device set is connected to the data backhaul layer. This can improve the accuracy and flexibility of data access of the sensing devices, thereby helping to improve the accuracy and flexibility of the construction of the digital transportation system, and further helping to improve the accuracy and flexibility of data communication in vehicle-road cooperation.

[0138] In this embodiment of the invention, for example, the specific data communication process of step 104 can be as follows: after the sensing device in the digital transportation system collects road data, the sensing layer transmits the road data back to the edge computing layer through the data backhaul layer, and then connects the road data to the public security platform through the edge computing layer, and then transmits the road data back to the road data operation platform through the two-way security boundary.

[0139] Example 2

[0140] Please see Figure 2 , Figure 2 This is a flowchart illustrating a data communication method for vehicle-road cooperation disclosed in an embodiment of the present invention. Figure 2 The described data communication method for vehicle-road cooperation can be applied to data communication devices for vehicle-road cooperation. These devices may include one of a data communication equipment, a data communication terminal, a data communication system, and a server. The server may include a local server or a cloud server. This method can also be applied to vehicle-road cooperative systems or digital transportation systems, and further to digital city systems. The embodiments of this invention are not limited to these applications. Figure 2 As shown, the data communication method applied to vehicle-road cooperation may include the following operations:

[0141] 201. Obtain the device parameters corresponding to multiple sensing devices within the identified target area.

[0142] In this embodiment of the invention, the device parameters corresponding to each sensing device include one or more combinations of the following: the service type corresponding to the sensing device, the application scenario corresponding to the sensing device, the device type of the sensing device, and the bandwidth of the sensing device. For example, the service type corresponding to the sensing device can be a traffic management service type or a vehicle-road cooperative service type; the application scenario corresponding to the sensing device can be a road segment scenario and / or an intersection scenario, which is not limited in this embodiment of the invention.

[0143] 202. Based on the equipment parameters of all sensing devices and the construction planning information of the predetermined target area, analyze the selection requirements of communication equipment for the target area.

[0144] In this embodiment of the invention, the requirements for selecting communication equipment include one or more combinations of backhaul traffic requirements, transmission speed requirements, and maintenance requirements.

[0145] 203. Based on the requirements for selecting communication equipment for the target area, determine the communication equipment information for the target area.

[0146] In this embodiment of the invention, the communication device information includes one or more combinations of the number of communication devices, the type of communication devices, and the configuration parameters of the communication devices.

[0147] 204. Based on the communication equipment information corresponding to the target area, determine the multiple communication devices corresponding to the target area.

[0148] 205. Based on all communication devices and all sensing devices, construct a digital transportation system corresponding to the target area.

[0149] 206. Collect road data for the target area based on all sensing devices.

[0150] 207. Based on the determined road data communication parameters, and using the digital transportation system corresponding to the target area, perform data communication operations on the road data of the target area.

[0151] In this embodiment of the invention, for other detailed descriptions of steps 205-207, please refer to the detailed description of steps 102-104 in Embodiment 1. These descriptions will not be repeated in this embodiment of the invention.

[0152] As can be seen, the method described in this embodiment of the invention can determine multiple communication devices corresponding to the target devices based on multiple sensing devices within the target area, and construct a digital transportation system corresponding to the target area based on all communication devices and all sensing devices. After the sensing devices collect road data of the target area, data communication operations are performed on the road data according to the road data communication parameters and based on the digital transportation system corresponding to the target area, realizing the intelligent construction of the digital transportation system, thereby improving the vehicle-road cooperative system. Data communication on the digital transportation system can improve the reliability and efficiency of vehicle-road cooperative data communication, which is conducive to improving the data processing efficiency of vehicle-road cooperative, and thus conducive to improving road management efficiency and building a digital city. In addition, based on the acquired device parameters corresponding to multiple sensing devices and the pre-determined construction planning information corresponding to the target area, the selection requirements of communication devices corresponding to the target area can be analyzed, and then the corresponding communication device information can be determined according to the communication device selection requirements. Then, multiple communication devices corresponding to the target area can be determined according to the communication device information. Based on the intelligent demand analysis of communication devices, intelligent selection of communication devices can be realized, which can improve the accuracy of the analysis of communication device selection requirements, thereby improving the accuracy of the determination of communication devices, and thus conducive to improving the accuracy and reliability of the construction of the digital transportation system.

[0153] In an optional embodiment, the method may also include the following operations:

[0154] When at least one vehicle is detected in the target area, for each vehicle, determine whether the vehicle is connected to the digital transportation system.

[0155] For each vehicle in motion, when it is determined that the vehicle has been connected to the digital transportation system, the vehicle in motion is identified as the target vehicle.

[0156] Based on all target vehicles, collect vehicle data corresponding to the target area;

[0157] Based on the determined vehicle data communication parameters, and using the digital transportation system corresponding to the target area, data communication operations are performed on the vehicle data in the target area.

[0158] The target vehicle can communicate with the roadside unit through the on-board unit to access the digital transportation system; the vehicle data corresponding to the target area can include one or more combinations of the following: the distance between vehicles in the target area, the vehicle speed in the target area, the road congestion situation in the target area, and the traffic accident situation in the target area. This embodiment of the invention does not limit the data. Optionally, vehicle data can be collected based on the on-board sensing unit corresponding to the target vehicle. This embodiment of the invention does not limit the data.

[0159] As can be seen, this optional embodiment can determine whether each vehicle is connected to the digital transportation system when a vehicle is detected in the target area. If it is determined that a vehicle is connected to the digital transportation system, the vehicle is identified as the target vehicle. Based on all target vehicles, vehicle data corresponding to the target area is collected. Based on the vehicle data communication parameters and the digital transportation system corresponding to the target area, data communication operations are performed on the vehicle data. This improves the flexibility of vehicle-road cooperative data collection, thereby improving the comprehensiveness of vehicle-road cooperative data communication and thus helping to improve the reliability of vehicle-road cooperative data processing.

[0160] In an optional embodiment, the method may also include the following operations:

[0161] For each vehicle, when it is determined that the vehicle is not connected to the digital transportation system, the vehicle information of the vehicle is obtained. The vehicle information includes one or more combinations of on-board unit installation information, on-board sensing unit installation information, vehicle configuration parameters and vehicle network information.

[0162] For each vehicle, based on its vehicle information, determine whether the current conditions of the vehicle meet the access conditions of the digital transportation system.

[0163] For each vehicle, when it is determined that the current conditions of the vehicle meet the access conditions of the digital transportation system, the vehicle is connected to the digital transportation system and identified as the target vehicle.

[0164] As can be seen, this optional embodiment can also determine whether the current conditions of the vehicle meet the access conditions of the digital transportation system if it is determined that the vehicle is accessing the digital transportation system, based on the vehicle information of the vehicle. If the current conditions of the vehicle meet the access conditions of the digital transportation system, the vehicle is accessed into the digital transportation system and the vehicle is identified as the target vehicle. This can improve the accuracy of vehicle information analysis, thereby improving the access accuracy of vehicle access to the digital transportation system, and further improving the flexibility of data collection for vehicle-road cooperation.

[0165] In this optional embodiment, the method may further include the following operations:

[0166] Analyze road and vehicle data to obtain at least one road condition scenario corresponding to a target area;

[0167] For each road condition scenario, the target road data corresponding to that road condition scenario is filtered from the road data, and the target vehicle data corresponding to that road condition scenario is filtered from the vehicle data;

[0168] For each road condition scenario, the first time set of the target road data corresponding to the road condition scenario and the second time set of the target vehicle data corresponding to the road condition scenario are compared to obtain the time comparison result corresponding to the road condition scenario; the first time set includes the first sensing acquisition time and the first communication reception time; the second time set includes the second sensing acquisition time and the second communication reception time.

[0169] For each road condition scenario, based on the time comparison results corresponding to that road condition scenario, it is determined whether there is network delay in the data communication operation of the digital transportation system for that road condition scenario;

[0170] For each road condition scenario, when it is determined that there is a network delay in the data communication operation of the digital transportation system for that road condition scenario, the corresponding communication failure of the digital transportation system is analyzed based on the time comparison results and the digital transportation system.

[0171] Among them, the road condition scenario can be one or more of the following: road congestion scenario, smooth road traffic scenario, road construction scenario, traffic accident scenario, waiting for traffic light scenario, and road closure scenario.

[0172] As can be seen, this optional embodiment can also obtain at least one road condition scenario corresponding to a target area by analyzing road data and vehicle data. For each road condition scenario, it filters out the target road data corresponding to the road condition scenario from the road data and the target vehicle data corresponding to the road condition scenario from the vehicle data. It then compares the first time set of the target road data corresponding to the road condition scenario with the second time set of the target vehicle data corresponding to the road condition scenario to obtain the time comparison result corresponding to the road condition scenario. Based on the time comparison result, it is determined whether there is a network delay in the data communication operation of the digital transportation system for the road condition scenario. If there is a network delay, the corresponding communication fault of the digital transportation system can be analyzed based on the time comparison result and the digital transportation system. This can improve the accuracy of data analysis for vehicle-road cooperation, thereby improving the accuracy of data communication fault analysis for vehicle-road cooperation, and thus helping to maintain the reliability and security of data communication for vehicle-road cooperation.

[0173] Example 3

[0174] Please see Figure 3 , Figure 3 This is a schematic diagram of a data communication device for vehicle-road cooperation disclosed in an embodiment of the present invention. Figure 3 The described data communication device for vehicle-road cooperation may include one of the following: data communication equipment, data communication terminal, data communication system, and server. The server may include a local server or a cloud server. This device can be applied to vehicle-road cooperative systems or digital transportation systems, and it can also be applied to digital city systems. This invention does not limit the scope of the application. Figure 3 As shown, the data communication device applied to vehicle-road cooperation may include:

[0175] The determining module 301 is used to determine multiple communication devices corresponding to the target area based on the multiple sensing devices in the target area.

[0176] System construction module 302 is used to construct a digital transportation system corresponding to the target area based on all communication devices and all sensing devices;

[0177] The acquisition module 303 is used to acquire road data of the target area based on all sensing devices;

[0178] The data communication module 304 is used to perform data communication operations on the road data of the target area based on the determined road data communication parameters and the digital transportation system corresponding to the target area.

[0179] As can be seen, the apparatus described in the embodiments of the present invention can determine multiple communication devices corresponding to the target device based on multiple sensing devices in the target area, and construct a digital transportation system corresponding to the target area based on all communication devices and all sensing devices. After the sensing devices collect road data in the target area, data communication operations are performed on the road data according to the road data communication parameters and based on the digital transportation system corresponding to the target area, thereby realizing the intelligent construction of the digital transportation system, thus improving the vehicle-road cooperative system. Data communication on the digital transportation system can improve the reliability and efficiency of vehicle-road cooperative data communication, which is conducive to improving the data processing efficiency of vehicle-road cooperation, and thus conducive to improving road management efficiency and building a digital city.

[0180] In an optional embodiment, all communication devices include multiple XGS-PON devices, which include one of OLT devices, OBD devices, ONU devices, switches, and routers; the switches include one of a first switch, a second switch, and a third switch.

[0181] Among them, the specific methods by which system construction module 302 constructs the digital transportation system corresponding to the target area based on all communication devices and all sensing devices may include:

[0182] Based on all sensing devices, construct the sensing layer corresponding to the target area;

[0183] Based on multiple communication devices, a data backhaul layer corresponding to the target area is constructed.

[0184] Based on the identified multiple edge computing nodes, construct the edge computing layer corresponding to the target region;

[0185] Based on the established data management platform, a platform layer corresponding to the target area is constructed. The platform layer includes a public security platform and a road data operation platform, and there is a two-way security boundary between the public security platform and the road data operation platform.

[0186] The perception layer is connected to the data backhaul layer, and the data backhaul layer is connected to the edge computing layer based on the second switch, and the edge computing layer is connected to the platform layer based on the router.

[0187] Based on the perception layer, data backhaul layer, edge computing layer, and platform layer, a digital transportation system corresponding to the target area is constructed.

[0188] As can be seen, the apparatus described in this optional embodiment can construct a sensing layer based on sensing devices, a data backhaul layer based on communication devices, an edge computing layer based on edge computing nodes, and a platform layer based on a data management platform. It connects the sensing layer to the data backhaul layer, connects the data backhaul layer to the edge computing layer via a second switch, and connects the edge computing layer to the platform layer via a router. Based on the sensing layer, data backhaul layer, edge computing layer, and platform layer, it constructs a digital transportation system corresponding to the target area, realizing a hierarchical network construction of the digital transportation system. This improves the accuracy and reliability of the digital transportation system construction, thereby enhancing the reliability and efficiency of vehicle-road cooperative data communication, and ultimately improving the data processing efficiency of vehicle-road cooperative systems.

[0189] In this optional embodiment, the data backhaul layer includes at least one OLT device pair, multiple OBD devices, and multiple ONU devices; each OLT device pair includes two OLT devices; one ONU device is connected to each first switch; one OBD device is connected to each ONU device; one OLT device pair is connected to each OBD device; and one second switch pair is connected to each OLT device, with each second switch pair including two second switches; wherein the optical splitting method corresponding to the data backhaul layer is a single-level optical splitting method.

[0190] For the edge computing layer, each second switch pair connects to an edge computing node; each edge computing node connects to an aggregation router pair, which consists of two routers; the aggregation router pair connects to the public security platform of the platform layer.

[0191] As can be seen, the apparatus described in this optional embodiment can describe the connection relationships between OLT device pairs, OBD devices, and ONU devices in the data backhaul layer, and the connection relationships between edge computing nodes and second switches and aggregation router pairs in the edge computing layer, as well as the connection relationships between aggregation router pairs and the platform layer. It can further detail the construction process of the digital transportation system, further improve the reliability of the digital transportation system, and improve the data transmission efficiency and data communication carrying capacity of vehicle-road cooperation, which is conducive to improving the stability and reliability of data communication in vehicle-road cooperation.

[0192] In this optional embodiment, the system construction module 302 may construct the perception layer corresponding to the target area based on all sensing devices in the following specific ways:

[0193] Based on the device type of all sensing devices, all sensing devices are divided into at least two sensing device sets;

[0194] For each set of sensing devices, the access method of the set of sensing devices with respect to the data backhaul layer is determined according to the device type corresponding to the set of sensing devices;

[0195] For each set of sensing devices, the set of sensing devices is connected to the data backhaul layer based on the access method corresponding to that set of sensing devices;

[0196] Specifically, for each set of sensing devices, the system construction module 302 determines the specific access method of the sensing device set regarding the data backhaul layer based on the device type corresponding to that set. This may include:

[0197] For each set of sensing devices, when the device type corresponding to the set of sensing devices is a road segment device type, the access method of the set of sensing devices with respect to the data backhaul layer is determined to be that each sensing device in the set of sensing devices is connected to one of the ONU devices in the data backhaul layer.

[0198] For each set of sensing devices, when the device type corresponding to the set of sensing devices is the intersection device type, the access method of the set of sensing devices with respect to the data backhaul layer is determined to be that all sensing devices in the set of sensing devices are connected to one of the first switches and connected to one of the ONU devices in the data backhaul layer based on the first switch.

[0199] As can be seen, the apparatus described in this optional embodiment can divide the sensing device set according to the device type of the sensing device, determine the access method of the sensing device set with respect to the data backhaul layer according to the device type corresponding to each sensing device set, and then connect the sensing device set to the data backhaul layer based on the access method corresponding to the sensing device set. This can improve the accuracy and flexibility of data access of the sensing devices, thereby improving the accuracy and flexibility of the construction of the digital transportation system, and further improving the accuracy and flexibility of data communication in vehicle-road cooperation.

[0200] In another optional embodiment, the specific method by which the determining module 301 determines multiple communication devices corresponding to the target area based on the acquired multiple sensing devices within the target area may include:

[0201] Obtain the device parameters corresponding to multiple sensing devices within the determined target area. The device parameters corresponding to each sensing device include one or more combinations of the following: the service type corresponding to the sensing device, the application scenario corresponding to the sensing device, the device type of the sensing device, and the bandwidth of the sensing device.

[0202] Based on the equipment parameters of all sensing devices and the construction planning information corresponding to the predetermined target area, analyze the communication equipment selection requirements corresponding to the target area. The communication equipment selection requirements include one or more combinations of backhaul traffic requirements, transmission speed requirements, and maintenance requirements.

[0203] Based on the requirements for selecting communication equipment in the target area, determine the communication equipment information corresponding to the target area;

[0204] Based on the communication device information corresponding to the target area, identify multiple communication devices corresponding to the target area.

[0205] As can be seen, the apparatus described in this optional embodiment can analyze the communication equipment selection requirements of the target area based on the acquired equipment parameters of multiple sensing devices and the construction planning information corresponding to the predetermined target area. Then, it determines the corresponding communication equipment information based on the communication equipment selection requirements, and then determines multiple communication devices corresponding to the target area based on the communication equipment information. By realizing intelligent selection of communication equipment based on intelligent demand analysis of communication equipment, it can improve the accuracy of communication equipment selection demand analysis, thereby improving the accuracy of communication equipment determination, and thus helping to improve the accuracy and reliability of digital transportation system construction.

[0206] In yet another alternative embodiment, such as Figure 4 As shown, the device may further include:

[0207] The judgment module 305 is used to determine whether a vehicle is connected to the digital transportation system for each vehicle when at least one vehicle is detected in the target area.

[0208] The determination module 301 is also used to determine the vehicle as the target vehicle when the judgment module 305 determines that the vehicle has been connected to the digital transportation system for each vehicle.

[0209] The acquisition module 303 is also used to acquire vehicle data corresponding to the target area based on all target vehicles;

[0210] The data communication module 304 is also used to perform data communication operations on vehicle data in the target area based on the determined vehicle data communication parameters and the digital transportation system corresponding to the target area.

[0211] As can be seen, the apparatus described in this optional embodiment can determine whether each vehicle is connected to the digital transportation system when a vehicle is detected in the target area. If it is determined that a vehicle is connected to the digital transportation system, the vehicle is identified as the target vehicle. Based on all target vehicles, vehicle data corresponding to the target area is collected. Based on the vehicle data communication parameters and the digital transportation system corresponding to the target area, data communication operations are performed on the vehicle data. This improves the flexibility of vehicle-road cooperative data collection, thereby improving the comprehensiveness of vehicle-road cooperative data communication and thus helping to improve the reliability of vehicle-road cooperative data processing.

[0212] In this optional embodiment, such as Figure 4 As shown, the device may further include:

[0213] Analysis module 306 is used to analyze road data and vehicle data to obtain at least one road condition scene corresponding to a target area;

[0214] The filtering module 307 is used to filter out the target road data corresponding to each road condition scenario from the road data and to filter out the target vehicle data corresponding to each road condition scenario from the vehicle data.

[0215] The comparison module 308 is used to compare, for each road condition scenario, a first time set of target road data corresponding to the road condition scenario and a second time set of target vehicle data corresponding to the road condition scenario to obtain the time comparison result corresponding to the road condition scenario; the first time set includes a first sensing acquisition time and a first communication reception time; the second time set includes a second sensing acquisition time and a second communication reception time.

[0216] The judgment module 305 is also used to determine, for each road condition scenario, whether there is a network delay in the data communication operation of the digital transportation system for that road condition scenario, based on the time comparison result corresponding to that road condition scenario.

[0217] The analysis module 306 is also used to analyze the corresponding communication fault of the digital transportation system based on the time comparison results and the digital transportation system when the judgment module 305 determines that there is a network delay in the data communication operation of the digital transportation system for each road condition scenario.

[0218] As can be seen, the apparatus described in this optional embodiment can obtain at least one road condition scenario corresponding to a target area by analyzing road data and vehicle data. For each road condition scenario, it filters out the target road data corresponding to the road condition scenario from the road data and the target vehicle data corresponding to the road condition scenario from the vehicle data. It then compares the first time set of the target road data corresponding to the road condition scenario with the second time set of the target vehicle data corresponding to the road condition scenario to obtain the time comparison result corresponding to the road condition scenario. Based on the time comparison result, it determines whether there is a network delay in the data communication operation of the digital transportation system for the road condition scenario. If there is a network delay, it analyzes the corresponding communication fault of the digital transportation system based on the time comparison result and the digital transportation system. This can improve the accuracy of data analysis for vehicle-road cooperation, thereby improving the accuracy of data communication fault analysis for vehicle-road cooperation, and thus helping to maintain the reliability and security of data communication for vehicle-road cooperation.

[0219] Example 4

[0220] Please see Figure 5 , Figure 5 This is a schematic diagram of another data communication device for vehicle-road cooperation disclosed in an embodiment of the present invention. Figure 5 As shown, the data communication device applied to vehicle-road cooperation may include:

[0221] Memory 401 storing executable program code;

[0222] Processor 402 coupled to memory 401;

[0223] The processor 402 calls the executable program code stored in the memory 401 to execute the steps in the data communication method applied to vehicle-road cooperation described in Embodiment 1 or Embodiment 2 of the present invention.

[0224] Example 5

[0225] This invention discloses a computer storage medium storing computer instructions. When these computer instructions are invoked, they are used to execute the steps in the data communication method applied to vehicle-road cooperation described in Embodiment 1 or Embodiment 2 of this invention.

[0226] Example 6

[0227] This invention discloses a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to cause a computer to perform the steps in the data communication method applied to vehicle-road cooperative systems described in Embodiment 1 or Embodiment 2.

[0228] The device embodiments described above are merely illustrative. The modules described as separate components may or may not be physically separate. The components shown as modules may or may not be physical modules; that is, they may be located in one place or distributed across multiple network modules. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0229] Through the detailed description of the above embodiments, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, including read-only memory (ROM), random access memory (RAM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), one-time programmable read-only memory (OTPROM), electrically-Erasable Programmable Read-Only Memory (EEPROM), compact disc read-only memory (CD-ROM) or other optical disc storage, disk storage, magnetic tape storage, or any other computer-readable medium that can be used to carry or store data.

[0230] Finally, it should be noted that the data communication method and apparatus for vehicle-road cooperation disclosed in the embodiments of the present invention are merely preferred embodiments of the present invention and are only used to illustrate the technical solutions of the present invention, not to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A data communication method applied to vehicle-road cooperation, characterized in that, The method includes: Based on the multiple sensing devices within the target area, determine the multiple communication devices corresponding to the target area; Based on all the aforementioned communication devices and all the aforementioned sensing devices, a digital transportation system corresponding to the target area is constructed. Based on all the aforementioned sensing devices, road data for the target area is collected; Based on the determined road data communication parameters, and using the digital transportation system corresponding to the target area, data communication operations are performed on the road data of the target area. Wherein, all of the aforementioned communication devices include multiple XGS-PON devices, and the XGS-PON devices include one of the following: OLT devices, OBD devices, ONU devices, switches, and routers; the switches include one of the following: a first switch, a second switch, and a third switch; The step of constructing a digital transportation system corresponding to the target area based on all the communication devices and all the sensing devices includes: Based on all the aforementioned sensing devices, a sensing layer corresponding to the target area is constructed; Based on multiple of the aforementioned communication devices, a data backhaul layer corresponding to the target area is constructed. Based on the identified multiple edge computing nodes, an edge computing layer corresponding to the target region is constructed. Based on the identified data management platform, a platform layer corresponding to the target area is constructed. The platform layer includes a public security platform and a road data operation platform, and there is a two-way security boundary between the public security platform and the road data operation platform. The perception layer is connected to the data backhaul layer, and the data backhaul layer is connected to the edge computing layer based on the second switch, and the edge computing layer is connected to the platform layer based on the router; Based on the perception layer, the data backhaul layer, the edge computing layer, and the platform layer, a digital transportation system corresponding to the target area is constructed. Specifically, the data backhaul layer includes at least one OLT device pair, multiple OBD devices, and multiple ONU devices; each OLT device pair includes two OLT devices; each first switch connects to one ONU device; each ONU device connects to one OBD device; each OBD device connects to one OLT device pair; each OLT device connects to one second switch pair, and each second switch pair includes two second switches; wherein the optical splitting method corresponding to the data backhaul layer is a single-level optical splitting method. For the edge computing layer, each of the second switch pairs is connected to one edge computing node; each edge computing node is connected to a convergence router pair, the convergence router pair comprising two routers; the convergence router pair is connected to the public security platform of the platform layer; The step of constructing a perception layer corresponding to the target area based on all the aforementioned sensing devices includes: Based on the device type of all the sensing devices, all the sensing devices are divided into at least two sets of sensing devices; For each set of sensing devices, the access method of the set of sensing devices with respect to the data backhaul layer is determined according to the device type corresponding to the set of sensing devices. For each set of sensing devices, the set of sensing devices is connected to the data backhaul layer based on the access method corresponding to the set of sensing devices. Specifically, for each set of sensing devices, determining the access method of the sensing device set with respect to the data backhaul layer based on the device type corresponding to the sensing device set includes: For each set of sensing devices, when the device type corresponding to the set of sensing devices is a road segment device type, the access method of the set of sensing devices with respect to the data backhaul layer is determined to be that each sensing device in the set of sensing devices is connected to one of the ONU devices in the data backhaul layer. For each set of sensing devices, when the device type corresponding to the set of sensing devices is the intersection device type, the access method of the set of sensing devices with respect to the data backhaul layer is determined to be that all the sensing devices in the set of sensing devices are connected to one of the first switches and connected to one of the ONU devices in the data backhaul layer based on the first switch.

2. The data communication method for vehicle-road cooperation according to claim 1, characterized in that, The step of determining multiple communication devices corresponding to the target area based on the acquired multiple sensing devices within the target area includes: Obtain device parameters corresponding to multiple sensing devices within the determined target area. The device parameters corresponding to each sensing device include one or more combinations of the following: the service type corresponding to the sensing device, the application scenario corresponding to the sensing device, the device type of the sensing device, and the bandwidth of the sensing device. Based on the equipment parameters corresponding to all the sensing devices and the pre-determined construction planning information corresponding to the target area, the selection requirements for communication equipment corresponding to the target area are analyzed. The selection requirements for communication equipment include one or more combinations of backhaul traffic requirements, transmission speed requirements, and maintenance requirements. Based on the communication equipment selection requirements corresponding to the target area, determine the communication equipment information corresponding to the target area; Based on the communication device information corresponding to the target area, determine multiple communication devices corresponding to the target area.

3. The data communication method for vehicle-road cooperation according to claim 1, characterized in that, The method further includes: When at least one vehicle is detected in the target area, for each vehicle, it is determined whether the vehicle is connected to the digital transportation system. For each of the aforementioned vehicles, when it is determined that the vehicle has been connected to the digital transportation system, the vehicle is identified as the target vehicle. Based on all the target vehicles, collect vehicle data corresponding to the target area; Based on the determined vehicle data communication parameters, and using the digital transportation system corresponding to the target area, data communication operations are performed on the vehicle data in the target area.

4. The data communication method for vehicle-road cooperation according to claim 3, characterized in that, The method further includes: By analyzing the road data and the vehicle data, at least one road condition scenario corresponding to the target area can be obtained; For each road condition scenario, target road data corresponding to the road condition scenario is filtered from the road data, and target vehicle data corresponding to the road condition scenario is filtered from the vehicle data; For each road condition scenario, a first time set of target road data corresponding to the road condition scenario and a second time set of target vehicle data corresponding to the road condition scenario are compared to obtain a time comparison result for the road condition scenario; the first time set includes a first sensing acquisition time and a first communication reception time; the second time set includes a second sensing acquisition time and a second communication reception time. For each road condition scenario, based on the time comparison result corresponding to the road condition scenario, it is determined whether there is a network delay in the data communication operation of the digital transportation system for that road condition scenario; For each road condition scenario, when it is determined that there is a network delay in the data communication operation of the digital transportation system for that road condition scenario, the corresponding communication fault of the digital transportation system is analyzed based on the time comparison results and the digital transportation system.

5. A data communication device for vehicle-road cooperation, characterized in that, The apparatus is used to perform the data communication method for vehicle-road cooperation as described in any one of claims 1-4, and the apparatus comprises: The determination module is used to determine multiple communication devices corresponding to the target area based on the multiple sensing devices within the target area. The system construction module is used to construct a digital transportation system corresponding to the target area based on all the communication devices and all the sensing devices. The acquisition module is used to acquire road data of the target area based on all the sensing devices. The data communication module is used to perform data communication operations on the road data of the target area based on the determined road data communication parameters and the digital transportation system corresponding to the target area.

6. A data communication device for vehicle-road cooperation, characterized in that, The device includes: Memory containing executable program code; A processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the data communication method for vehicle-road cooperation as described in any one of claims 1-4.

7. A computer storage medium, characterized in that, The computer storage medium stores computer instructions, which, when invoked, are used to execute the data communication method for vehicle-road cooperation as described in any one of claims 1-4.

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