Service awareness method and device, base station and storage medium

Abstract

The invention provides a service awareness method and device, a base station and a storage medium, relates to the technical field of communication, and is used for effectively realizing communication and sensing fusion in an Internet of Vehicles scene. The method is applied to a base station, and comprises the following steps: in response to a service awareness request from a service server, determining a first sensing fusion frame from a plurality of preset sensing fusion frames; the service awareness request is used for requesting awareness of a vehicle corresponding to the first Internet of Vehicles service; different preset sensing fusion frames correspond to different Internet of Vehicles services, and different Internet of Vehicles services correspond to different vehicle moving speeds; the proportion of the sensing subframes of the preset sensing fusion frame is in positive correlation with the moving speed of the vehicle; under the condition that service information of a first Internet of Vehicles service is sent to a vehicle-mounted terminal on a vehicle through a communication sub-frame in the first communication sensing fusion frame, sensing the vehicle through a sensing sub-frame in the first communication sensing fusion frame to obtain vehicle sensing information; and sending the vehicle sensing information to a business server.

Description

Technical Field

[0001] The present application belongs to the field of communication technology, and in particular, relates to a service perception method, device, base station and storage medium. Background Art

[0002] With the rapid development of vehicle intelligent driving technology, the demand for interawareness integration in vehicle-road collaboration and other services in the Internet of Vehicles scenario is increasing. However, the current research on interawareness integrated base stations mainly focuses on scenarios with low-mobility terminals, and it is difficult to support the interawareness integration of vehicle-mounted terminals with the characteristics of high-speed mobility and fast scene changes in the Internet of Vehicles scenario. Summary of the invention

[0003] The present application provides a service perception method, device, base station and storage medium for effectively realizing synaesthesia fusion in a vehicle networking scenario.

[0004] In order to achieve the above objectives, this application adopts the following technical solutions:

[0005] In a first aspect, a service perception method is provided, which is applied to a base station, including: in response to a service perception request from a service server, determining a first synaesthesia fusion frame from a plurality of preset synaesthesia fusion frames; the service perception request is used to request perception of a vehicle corresponding to a first Internet of Vehicles service; different preset synaesthesia fusion frames correspond to different Internet of Vehicles services, and different Internet of Vehicles services correspond to different vehicle moving speeds; the proportion of synaesthesia subframes in the preset synaesthesia fusion frame is positively correlated with the vehicle moving speed; the proportion of synaesthesia subframes is the ratio between the number of communication subframes and the number of perception subframes in the preset synaesthesia fusion frame; the first synaesthesia fusion frame is a preset synaesthesia fusion frame corresponding to the first Internet of Vehicles service; when the service information of the first Internet of Vehicles service is sent to the vehicle-mounted terminal on the vehicle through the communication subframe in the first synaesthesia fusion frame, the vehicle is perceived through the perception subframe in the first synaesthesia fusion frame to obtain vehicle perception information; and the vehicle perception information is sent to the service server.

[0006] Optionally, the first Internet of Vehicles service is any one of the following: a traffic light warning service, a blind spot recognition service, and a remote parking service.

[0007] Optionally, the service perception method further includes: sending frame structure information of the first synaesthesia fusion frame to the vehicle-mounted terminal so as to transmit data with the vehicle-mounted terminal through the first synaesthesia fusion frame; the frame structure information is used to indicate the positions of the communication subframe and the perception subframe in the first synaesthesia fusion frame.

[0008] Optionally, the service perception method also includes: obtaining vehicle real-time information from a vehicle-mounted terminal; the vehicle real-time information is vehicle information collected by the vehicle-mounted terminal from sensors configured on the vehicle; determining perception accuracy based on vehicle perception information and vehicle real-time information; the perception accuracy is used to indicate the degree of deviation between vehicle perception information and vehicle real-time information; determining whether to update the first synaesthesia fusion frame based on the perception accuracy and the service accuracy requirements corresponding to the first Internet of Vehicles service.

[0009] Optionally, the vehicle perception information includes a first vehicle speed and a first vehicle position of the vehicle perceived by the base station; the vehicle real-time information includes a second vehicle speed and a second vehicle position of the vehicle collected by the vehicle-mounted terminal; the perception accuracy includes speed perception accuracy and position perception accuracy; based on the vehicle perception information and the vehicle real-time information, the perception accuracy is determined, including: determining the speed perception accuracy based on the first vehicle speed and the second vehicle speed; determining the position perception accuracy based on the first vehicle position and the second vehicle position.

[0010] Optionally, determining whether to update the first synaesthesia fusion frame is performed based on the perception accuracy and the business accuracy requirement corresponding to the first Internet of Vehicles business, including: when the gap between the perception accuracy and the business accuracy requirement is less than or equal to a first preset threshold, determining to maintain the first synaesthesia fusion frame; when the gap is greater than the first preset threshold and less than or equal to a second preset threshold, updating the first synaesthesia fusion frame to a second synaesthesia fusion frame; the number of perception subframes in the second synaesthesia fusion frame is greater than the number of perception subframes in the first synaesthesia fusion frame; when the gap is greater than the second preset threshold, updating the first synaesthesia fusion frame to a third synaesthesia fusion frame; the number of perception subframes in the third synaesthesia fusion frame is greater than the number of perception subframes in the second synaesthesia fusion frame.

[0011] Optionally, obtaining the real-time vehicle information from the vehicle-mounted terminal includes: sending an information reporting indication to the vehicle-mounted terminal; the information reporting indication is used to indicate reporting of the real-time vehicle information; and receiving the real-time vehicle information from the vehicle-mounted terminal.

[0012] In a second aspect, a service perception device is provided, which is applied to a base station and includes: a processing unit, a perception unit and a sending unit.

[0013] A processing unit is used to determine a first synaesthesia fusion frame from a plurality of preset synaesthesia fusion frames in response to a service perception request from a service server; the service perception request is used to request the perception of a vehicle corresponding to a first Internet of Vehicles service; different preset synaesthesia fusion frames correspond to different Internet of Vehicles services, and different Internet of Vehicles services correspond to different vehicle moving speeds; the number of perception subframes in the preset synaesthesia fusion frame is negatively correlated with the vehicle moving speed; the first synaesthesia fusion frame is a preset synaesthesia fusion frame corresponding to the first Internet of Vehicles service; a perception unit is used to perceive the vehicle through the perception subframe in the first synaesthesia fusion frame to obtain vehicle perception information when the service information of the first Internet of Vehicles service is sent to an on-board terminal on the vehicle through the communication subframe in the first synaesthesia fusion frame; a sending unit is used to send the vehicle perception information to the service server.

[0014] Optionally, the first Internet of Vehicles service is any one of the following: a traffic light warning service, a blind spot recognition service, and a remote parking service.

[0015] Optionally, the sending unit is further used to send frame structure information of the first synaesthesia fusion frame to the vehicle-mounted terminal, so as to perform data transmission with the vehicle-mounted terminal through the first synaesthesia fusion frame; the frame structure information is used to indicate the positions of the communication subframe and the perception subframe in the first synaesthesia fusion frame.

[0016] Optionally, the service perception device also includes: an acquisition unit; the acquisition unit is used to acquire vehicle real-time information from the vehicle-mounted terminal; the vehicle real-time information is vehicle information collected by the vehicle-mounted terminal from sensors configured on the vehicle; the processing unit is also used to determine the perception accuracy based on the vehicle perception information and the vehicle real-time information; the perception accuracy is used to indicate the degree of deviation between the vehicle perception information and the vehicle real-time information; the processing unit is also used to determine whether to update the first synaesthesia fusion frame based on the perception accuracy and the service accuracy requirements corresponding to the first Internet of Vehicles service.

[0017] Optionally, the vehicle perception information includes a first vehicle speed and a first vehicle position of the vehicle perceived by the base station; the vehicle real-time information includes a second vehicle speed and a second vehicle position of the vehicle collected by the vehicle-mounted terminal; the perception accuracy includes speed perception accuracy and position perception accuracy; the processing unit is specifically used to: determine the speed perception accuracy based on the first vehicle speed and the second vehicle speed; determine the position perception accuracy based on the first vehicle position and the second vehicle position.

[0018] Optionally, the processing unit is specifically used to: when the gap between the perception accuracy and the business accuracy requirement is less than or equal to a first preset threshold, determine to maintain the first synaesthesia fusion frame; when the gap is greater than the first preset threshold and less than or equal to a second preset threshold, update the first synaesthesia fusion frame to a second synaesthesia fusion frame; the number of perception subframes in the second synaesthesia fusion frame is greater than the number of perception subframes in the first synaesthesia fusion frame; when the gap is greater than the second preset threshold, update the first synaesthesia fusion frame to a third synaesthesia fusion frame; the number of perception subframes in the third synaesthesia fusion frame is greater than the number of perception subframes in the second synaesthesia fusion frame.

[0019] Optionally, the acquisition unit is specifically used to: send an information reporting indication to the vehicle terminal; the information reporting indication is used to indicate reporting of vehicle real-time information; and receive vehicle real-time information from the vehicle terminal.

[0020] In a third aspect, a base station is provided, comprising a memory and a processor; the memory is used to store computer execution instructions, and the processor is connected to the memory through a bus; when the base station is running, the processor executes the computer execution instructions stored in the memory, so that the base station executes any optional service perception method as described in the first aspect.

[0021] The base station may be a network device or a part of a network device, such as a chip system in a network device. The chip system is used to support the network device to implement the functions involved in the first aspect and any possible implementation thereof, such as receiving, determining, and diverting the data and / or information involved in the above-mentioned service perception method. The chip system includes a chip and may also include other discrete devices or circuit structures.

[0022] In a fourth aspect, a computer-readable storage medium is provided, the computer-readable storage medium comprising computer execution instructions, and when the computer execution instructions are executed on a base station, the base station executes any optional service perception method as described in the first aspect.

[0023] It should be noted that the above computer instructions may be stored in whole or in part on a first computer-readable storage medium, wherein the first computer-readable storage medium may be packaged together with the processor of the routing device, or may be packaged separately from the processor of the routing device, which is not limited in this application.

[0024] In this application, the name of the above-mentioned routing device does not limit the device or functional module itself. In actual implementation, these devices or functional modules may appear with other names. As long as the functions of each device or functional module are similar to those of this application, they fall within the scope of the claims of this application and their equivalent technologies.

[0025] These and other aspects of the present application will become more apparent from the following description.

[0026] The technical solution provided by this application brings at least the following beneficial effects:

[0027] Based on any of the above aspects, in the present application, the base station can respond to a service perception request from a service server, determine a first synaesthesia fusion frame corresponding to a first Internet of Vehicles service from a plurality of preset synaesthesia fusion frames, so that when the service information of the first Internet of Vehicles service is sent to a vehicle-mounted terminal on the vehicle through a communication subframe in the first synaesthesia fusion frame, the base station can sense the vehicle through the perception subframe in the first synaesthesia fusion frame, obtain vehicle perception information, and send the vehicle perception information to the service server.

[0028] Since the proportion of synaesthesia subframes in the preset synaesthesia fusion frame is positively correlated with the vehicle moving speed, in this way, the base station can determine the first synaesthesia fusion frame with a large proportion of synaesthesia subframes for the first Internet of Vehicles service when the vehicle moving speed corresponding to the first Internet of Vehicles service is relatively high, that is, the first synaesthesia fusion frame with a large number of communication subframes and a small number of perception subframes, so as to meet the low latency demand for data transmission in high-speed mobile scenarios and improve the safety of vehicles during driving. Alternatively, the base station can determine the first synaesthesia fusion frame with a small proportion of synaesthesia subframes for the first Internet of Vehicles service when the vehicle moving speed corresponding to the first Internet of Vehicles service is relatively low, that is, the first synaesthesia fusion frame with a large number of perception subframes and a small number of communication subframes, so as to meet the demand for perception accuracy in low-speed mobile scenarios and improve the Internet of Vehicles service experience. Therefore, the present application can effectively realize synaesthesia fusion in Internet of Vehicles scenarios. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] Figure 1 A schematic diagram of the structure of a communication perception integrated system provided in an embodiment of the present application;

[0030] Figure 2 A schematic diagram of the structure of a synaesthesia fusion system provided in an embodiment of the present application;

[0031] Figure 3 A schematic diagram of the structure of a base station provided in an embodiment of the present application;

[0032] Figure 4 A schematic diagram of the structure of a vehicle-mounted terminal provided in an embodiment of the present application;

[0033] Figure 5 A schematic diagram of the hardware structure of a base station provided in an embodiment of the present application;

[0034] Figure 6 A flowchart of a service perception method provided in an embodiment of the present application;

[0035] Figure 7A schematic diagram of a frame structure provided in an embodiment of the present application;

[0036] Figure 8 A schematic diagram of the structure of another frame provided in an embodiment of the present application;

[0037] Fig. 9 A flowchart of another service perception method provided in an embodiment of the present application;

[0038] Fig.10 A schematic diagram of the structure of a service perception device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0039] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0040] It should be noted that, in the embodiments of the present application, words such as "exemplary" or "for example" are used to indicate examples, illustrations or descriptions. Any embodiment or design described as "exemplary" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "exemplary" or "for example" is intended to present related concepts in a specific way.

[0041] In order to facilitate a clear description of the technical solutions of the embodiments of the present application, in the embodiments of the present application, words such as "first" and "second" are used to distinguish between identical or similar items with substantially the same functions and effects. Those skilled in the art can understand that words such as "first" and "second" do not limit the quantity and order of execution.

[0042] In addition, the terms "including" and "having" in the embodiments, claims and drawings of the present application are not exclusive. For example, a process, method, system, product or device including a series of steps or modules is not limited to the listed steps or modules, and may also include steps or modules that are not listed.

[0043] In order to facilitate the understanding of the present application, the relevant elements involved in the present application are now described.

[0044] Communication and perception fusion is an important technology in future communication networks such as the fifth generation mobile communication technology (5G) enhanced network (5G-advanced, 5.5G) and the sixth generation mobile communication technology (6G) network. Communication and perception fusion is a technology that realizes the unified design of communication and perception functions through means such as signal joint design and / or hardware sharing. That is, the perception function is realized while the communication information is transmitted, so as to improve the overall performance and business capabilities.

[0045] For example, Figure 1 As shown, it is a structural diagram of a communication perception integrated system provided by an embodiment of the present application. The communication perception integrated system may include a base station, a terminal and a non-communication device target. The non-communication device target is a perception target, such as a vehicle or other device that does not have a communication function. The base station and the terminal can communicate through a communication link. At the same time, the base station can realize the perception of the non-communication device target based on the multipath signal reflected by the non-communication device target.

[0046] The realization of communication and perception fusion can greatly reuse the frequency and site resources of communication and perception, and can support the construction of a set of equipment to meet all communication and perception requirements, especially for some scenarios that do not require full-time perception, with higher availability. For example, in the Internet of Vehicles scenario, applications such as vehicle-road collaboration and vehicle-cloud collaboration (such as blind spot recognition, cooperative lane change, remote driving, etc.) need to improve the perception accuracy through base station-assisted perception based on the perception of a single vehicle, thereby improving driving safety and reducing the probability of accidents.

[0047] At present, the implementation architecture of communication and perception fusion can be divided into three types: base station self-transmission and self-reception, base station transmission and terminal reception, and terminal transmission and base station reception. All three architectures involve base stations. Therefore, how to achieve the coexistence of communication and perception functions on base stations has become an important research topic. However, the research on related inter-sensory integrated base stations is mainly aimed at low-mobility terminal scenarios, and is not suitable for the characteristics of vehicle-mounted terminals in the Internet of Vehicles scenario, such as fast movement speed and fast scene changes compared to ordinary terminals.

[0048] In response to the above problems, an embodiment of the present application provides a service perception method, in which a base station can respond to a service perception request from a service server and determine a first synaesthesia fusion frame corresponding to a first Internet of Vehicles service from a plurality of preset synaesthesia fusion frames, so that when the service information of the first Internet of Vehicles service is sent to a vehicle-mounted terminal on the vehicle through a communication subframe in the first synaesthesia fusion frame, the base station can sense the vehicle through the perception subframe in the first synaesthesia fusion frame, obtain vehicle perception information, and send the vehicle perception information to the service server.

[0049] Since the proportion of synaesthesia subframes in the preset synaesthesia fusion frame is positively correlated with the vehicle moving speed, in this way, the base station can determine the first synaesthesia fusion frame with a large proportion of synaesthesia subframes for the first Internet of Vehicles service when the vehicle moving speed corresponding to the first Internet of Vehicles service is relatively high, that is, the first synaesthesia fusion frame with a large number of communication subframes and a small number of perception subframes, so as to meet the low latency demand for data transmission in high-speed mobile scenarios and improve the safety of vehicles during driving. Alternatively, the base station can determine the first synaesthesia fusion frame with a small proportion of synaesthesia subframes for the first Internet of Vehicles service when the vehicle moving speed corresponding to the first Internet of Vehicles service is relatively low, that is, the first synaesthesia fusion frame with a large number of perception subframes and a small number of communication subframes, so as to meet the demand for perception accuracy in low-speed mobile scenarios and improve the Internet of Vehicles service experience. Therefore, the present application can effectively realize synaesthesia fusion in Internet of Vehicles scenarios.

[0050] The service perception method is applicable to a base station in a synaesthesia fusion system. Figure 2 FIG. 1 shows a structural schematic diagram of the synaesthesia fusion system. Figure 2 As shown, the synaesthesia fusion system may include: a service server 101, a base station 102 and a vehicle terminal 103. The base station 102 may be connected to the service server 101 and the vehicle terminal 103 respectively. Alternatively, the base station 102 and the vehicle terminal 103 may communicate based on a time division duplexing (TDD) mode.

[0051] In practical applications, the number of the service server 101, base station 102 and vehicle terminal 103 in the synaesthesia fusion system can be multiple. For ease of description, this application takes the service server 101, base station 102 and vehicle terminal 103 as an example.

[0052] In the IoV scenario, the service server 101 is used to send service information and service perception requests for IoV services. The service information of IoV services may include traffic information, road condition information, surrounding vehicle information or infrastructure information, etc. The service perception request may be used to trigger the base station 102 to perceive the vehicle to obtain information such as the vehicle's speed and location.

[0053] The base station 102 can determine the first synaesthesia fusion frame corresponding to the first Internet of Vehicles service from a plurality of preset synaesthesia fusion frames, and transmit synaesthesia data through the first synaesthesia fusion frame to perceive the vehicle. Further, the base station 102 can send an information reporting instruction to the vehicle terminal 103 to obtain the real-time vehicle information reported by the vehicle terminal 103, calculate the perception accuracy in combination with the vehicle perception information, and update the first synaesthesia fusion frame based on the perception accuracy to dynamically match the perception accuracy requirements of the Internet of Vehicles service. In addition, the base station 102 can report the vehicle perception information to the service server 101.

[0054] For example, Figure 3 As shown, it is a structural schematic diagram of a base station 102 provided in an embodiment of the present application. The base station 102 may include a receiving module, a perception accuracy calculation module, a selection module and a transmission module. The receiving module can be used to receive a service perception request from the service server 101, and determine the perception accuracy (such as speed accuracy and positioning accuracy) requirements of the Internet of Vehicles service. The perception accuracy calculation module is used to obtain vehicle real-time information from the vehicle terminal 103, and determine the perception accuracy based on the vehicle real-time information and vehicle perception information. The selection module is used to match the corresponding preset synaesthesia fusion frame for the Internet of Vehicles service, and to update the preset synaesthesia fusion frame determined for the Internet of Vehicles service according to the perception accuracy. The transmission module is used to send a new perception trigger signaling to the vehicle terminal 103 in the physical downlink control channel (PDCCH) to inform the vehicle terminal 103 of the preset synaesthesia fusion frame corresponding to the Internet of Vehicles service.

[0055] The vehicle-mounted terminal 103 may collect the speed and position information of the vehicle from sensors configured on the vehicle, and report the collected information to the base station 102 .

[0056] For example, Figure 4 As shown, it is a structural schematic diagram of a vehicle-mounted terminal 103 provided in an embodiment of the present application. The vehicle-mounted terminal 103 may include a vehicle information reporting module and a synaesthesia data receiving module. The vehicle information reporting module is used to identify the information reporting instruction sent by the base station 102, and collect vehicle real-time information from the sensor configured on the vehicle. In addition, the vehicle information reporting module is also used to periodically report vehicle real-time information to the base station 102 through the newly added vehicle information reporting signaling in accordance with the method indicated by the base station 102, or to add relevant information fields in the uplink transmission data to report vehicle real-time information to the base station 102. The synaesthesia data receiving module is used to receive the frame structure information of the preset synaesthesia fusion frame sent by the base station 102, and decode the communication data and perception data in the corresponding time slot.

[0057] Optionally, the service server 101 involved in the present application may be a single server, or may be a server cluster composed of multiple servers. In some implementations, the server cluster may also be a distributed cluster. The present application embodiment does not impose any limitation on this.

[0058] The vehicle-mounted terminal 103 involved in the present application can be a user equipment (UE), access terminal, terminal unit, user terminal terminal equipment, TE), mobile device, wireless communication device, terminal agent, tablet computer (pad), handheld device with wireless communication function, computing device or other processing device connected to a wireless modem, vehicle-mounted device, vehicle-mounted transceiver unit, wearable device, or terminal device, other processing device connected to a wireless modem, vehicle-mounted device. In addition, the vehicle-mounted terminal can be mobile or fixed. The embodiments of the present application are not limited to this.

[0059] like Figure 5 , which is a schematic diagram of the hardware structure of a base station provided in an embodiment of the present application. The base station includes a processor 21, a memory 22, a communication interface 23, and a bus 24. The processor 21, the memory 22, and the communication interface 23 can be connected via a bus 24.

[0060] The processor 21 is the control center of the base station, and can be a processor or a general term for multiple processing elements. For example, the processor 21 can be a CPU or other general-purpose processors. The general-purpose processor can be a microprocessor or any conventional processor.

[0061] As an embodiment, the processor 21 may include one or more CPUs, such as Figure 5 CPU0 and CPU1 are shown in the figure.

[0062] The memory 22 may be a read-only memory (ROM) or other type of static storage device that can store static information and instructions, a random access memory (RAM) or other type of dynamic storage device that can store information and instructions, an electrically erasable programmable read-only memory (EEPROM), a disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited thereto.

[0063] In a possible implementation, the memory 22 may exist independently of the processor 21, and the memory 22 may be connected to the processor 21 via a bus 24 for storing instructions or program codes. When the processor 21 calls and executes the instructions or program codes stored in the memory 22, the service perception method provided in the following embodiments of the present application can be implemented.

[0064] In another possible implementation, the memory 22 may also be integrated with the processor 21 .

[0065] The communication interface 23 is used for the base station to connect with other devices through a communication network, and the communication network may be Ethernet, wireless access network, wireless local area network (WLAN), etc. The communication interface 23 may include a receiving unit for receiving data and a sending unit for sending data.

[0066] The bus 24 may be an industry standard architecture (ISA) bus, a peripheral component interconnect (PCI) bus, or an extended industry standard architecture (EISA) bus. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 5 Only one thick line is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0067] It should be pointed out that Figure 5 The structure shown in the figure does not constitute a limitation on the base station, except Figure 5 In addition to the components shown, the base station may include more or fewer components than shown, or combine certain components, or arrange the components differently.

[0068] like Figure 6 FIG. 1 is a flow chart of a service perception method provided in an embodiment of the present application. The service perception method can be applied to Figure 2 The service sensing method includes: S601-S603.

[0069] S601: In response to a service perception request from a service server, a base station determines a first synaesthesia fusion frame from a plurality of preset synaesthesia fusion frames.

[0070] The service perception request is used to request the perception of a vehicle corresponding to the first Internet of Vehicles service. Perceiving the vehicle corresponding to the first Internet of Vehicles service means identifying information such as the current speed and position of the vehicle.

[0071] Optionally, the vehicle corresponding to the first Internet of Vehicles service may be all vehicles currently executing the first Internet of Vehicles service. Alternatively, the service perception request may include a vehicle terminal identifier, and the vehicle corresponding to the first Internet of Vehicles service may also be the vehicle where the vehicle terminal corresponding to the vehicle terminal identifier is located.

[0072] The preset synaesthesia fusion frame may be a frame including both a communication subframe for sending a communication signal and a perception subframe for sending a perception signal. Different preset synaesthesia fusion frames correspond to different Internet of Vehicles services, and different Internet of Vehicles services correspond to different vehicle moving speeds. The number of perception subframes in the preset synaesthesia fusion frame is negatively correlated with the vehicle moving speed.

[0073] For example, Figure 7 As shown, it is a schematic diagram of the structure of a frame provided in an embodiment of the present application. Figure 7 The 2.5 millisecond (ms) single-cycle frame structure configuration mainly used by millimeter wave communication is shown in FIG. 1 , where D is the downlink (DL) time slot, S is the special time slot, and U is the uplink (UL) time slot. Figure 7 As shown, the frame structure configuration in a single cycle is DL:S:UL=3:1:1. Among them, one DL time slot includes 14 symbols for downlink transmission. One S time slot includes 10 symbols for downlink transmission, 2 symbols for guard period (GP), and 2 symbols for uplink transmission. One UL time slot includes 14 symbols for uplink transmission.

[0074] The preset synaesthesia fusion frame is the synaesthesia fusion frame structure, that is, in the above Figure 7 The communication subframe is replaced by the sensing subframe in the frame structure. Figure 7 ,like Figure 8As shown in FIG. 1 , it is a schematic diagram of another frame structure provided by an embodiment of the present application. Considering that in the Internet of Vehicles scenario, different Internet of Vehicles services have different requirements for communication delay and perception accuracy, and the same Internet of Vehicles service has different requirements for communication delay at different moving speeds, and the required proportions of communication time slots and perception time slots are also different, the embodiment of the present application proposes Figure 8 Four structural configurations of the preset synaesthesia fusion frame are shown in FIG.

[0075] The preset synaesthesia fusion frame of type 0 is a template without perception requirements and is mainly based on the original communication template.

[0076] The preset synaesthesia fusion frame of type A is mainly suitable for scenarios with low requirements for perception accuracy and high requirements for communication delay. The preset synaesthesia fusion frame of type A uses one downlink subframe and one uplink subframe in the original communication template for perception data transmission, and the others are used to transmit communication data. That is, the 7th downlink subframe and the 10th uplink subframe are perception subframes. The preset synaesthesia fusion frame of type A can be applied to services such as traffic light warning. In this type of service, the speed of vehicles is generally fast, and the delay requirement for command issuance is high (such as less than 20ms), but the positioning accuracy requirement is not high (such as meter level).

[0077] The preset synaesthesia fusion frame of type B is suitable for situations where the perception accuracy requirement is high and the communication delay requirement is low. The preset synaesthesia fusion frame of type B uses two downlink subframes and two uplink subframes in the original communication template for perception data transmission, and the others are used to transmit communication data. The preset synaesthesia fusion frame of type A can be applied to services such as coordinated lane merging and blind spot identification. In this type of service, the speed of the vehicle is generally slow, and the instruction issuance delay requirement is low (such as less than 50ms), but the positioning accuracy requirement is high (such as 0.5 meters).

[0078] The C-type preset synaesthesia fusion frame is suitable for situations where the perception accuracy is very high and the communication delay requirement is very low. The C-type preset synaesthesia fusion frame uses three downlink subframes and two uplink subframes in the original communication template for perception data transmission, and the others are used to transmit communication data. The C-type preset synaesthesia fusion frame can be applied to services such as remote parking. In such services, the speed of vehicles is generally very slow, and the instruction issuance delay requirement is very low (such as less than 100ms), but the positioning accuracy requirement is very high (such as centimeter level).

[0079] Based on this, the base station can realize the simultaneous transmission of communication and perception data through three types of preset synaesthesia fusion frames A, B and C. In addition, the above four frame structures are Figure 7 The position of the sensing subframe is determined based on the mid-frame structure, but from the perspective of the entire frame structure, Figure 7 There is no difference in the frame structure. Only when the data is encapsulated and decoded will it be clear which are the communication subframes and which are the perception subframes, so there is no need to change Figure 7 The frame structure in .

[0080] Optionally, the first Internet of Vehicles service is any one of the following: a traffic light warning service, a blind spot recognition service, and a remote parking service. The first synaesthesia fusion frame is a preset synaesthesia fusion frame corresponding to the first Internet of Vehicles service.

[0081] Optionally, the service perception request may also include service information of the first Internet of Vehicles service. The service information may include intersection information, map information, navigation information, and traffic light warning information.

[0082] S602: When the base station sends service information of the first Internet of Vehicles service to the on-board terminal on the vehicle through the communication subframe in the first synaesthesia fusion frame, the base station senses the vehicle through the perception subframe in the first synaesthesia fusion frame to obtain vehicle perception information.

[0083] After the base station determines the first synaesthesia fusion frame, it can send the service information of the first Internet of Vehicles service to the vehicle-mounted terminal on the vehicle through the communication subframe in the first synaesthesia fusion frame. At the same time, the base station can also sense the vehicle through the perception subframe in the first synaesthesia fusion frame to obtain vehicle perception information. Specifically, the base station can transmit a perception signal in the perception subframe in the first synaesthesia fusion frame and receive the perception signal reflected by the vehicle. Furthermore, the base station can determine the speed information and position information of the vehicle based on the perception signal reflected by the vehicle to obtain the vehicle perception information.

[0084] It should be understood that, for ease of explanation, in the embodiment of the present application, the speed information of the vehicle sensed by the base station is referred to as the first vehicle speed, and the position information of the vehicle sensed by the base station is referred to as the first vehicle position. That is, the vehicle sensing information includes the first vehicle speed and the first vehicle position of the vehicle sensed by the base station.

[0085] S603: The base station sends vehicle perception information to the service server.

[0086] The base station obtains vehicle perception information and can send the vehicle perception information to the business server so that the business server can better support the vehicle to realize various intelligent Internet of Vehicles services.

[0087] In a possible embodiment, the service perception method provided in the present application also includes: S701.

[0088] S701. A base station sends frame structure information of a first synaesthesia fusion frame to a vehicle-mounted terminal, so as to perform data transmission with the vehicle-mounted terminal through the first synaesthesia fusion frame.

[0089] The frame structure information is used to indicate the positions of the communication subframe and the perception subframe in the first synaesthesia fusion frame.

[0090] The base station may send frame structure information to the vehicle terminal in the PDCCH channel, so that the vehicle terminal can parse and determine the positions of the communication subframe and the perception subframe in the first synaesthesia fusion frame selected by the base station.

[0091] For example, in combination with the above Figure 8 , assuming that the first synaesthesia fusion frame is a preset synaesthesia fusion frame of type B, the perception subframes may be the 5th and 10th uplink subframes, and the 2nd and 7th downlink subframes. The frame structure information may be implemented in the following format:

[0092] Signal type: sense configuration

[0093] UE ID: 1234

[0094] Sense of uplink: 5,10

[0095] Sense of downlink:2,7.

[0096] In a possible embodiment, the service perception method provided in the present application also includes: S801-S803.

[0097] S801. The base station obtains real-time vehicle information from the vehicle-mounted terminal.

[0098] Among them, the real-time vehicle information is the vehicle information collected by the on-board terminal from the sensors configured on the vehicle.

[0099] Specifically, the vehicle-mounted terminal may collect the speed information of the vehicle from a speed sensor configured on the vehicle, and collect the position information of the vehicle from a global positioning system (GPS) sensor configured on the vehicle.

[0100] It should be understood that, for the sake of convenience, in the embodiment of the present application, the speed information of the vehicle collected by the vehicle terminal is referred to as the second vehicle speed, and the position information of the vehicle collected by the vehicle terminal is referred to as the second vehicle position. That is, the real-time vehicle information includes the second vehicle speed and the second vehicle position of the vehicle collected by the vehicle terminal.

[0101] S802. The base station determines the perception accuracy based on the vehicle perception information and the vehicle real-time information.

[0102] The perception accuracy is used to indicate the degree of deviation between the vehicle perception information and the vehicle real-time information. The perception accuracy may include speed perception accuracy and position perception accuracy.

[0103] Specifically, before the base station receives the real-time information of the vehicle, the vehicle is sensed only once, that is, only a first vehicle speed and a first vehicle position are collected, and the base station can determine the difference between the first vehicle speed and the second vehicle speed as the speed perception accuracy. In addition, the base station can determine the distance between the first vehicle position and the second vehicle position as the position perception accuracy.

[0104] Alternatively, before the base station receives the real-time information of the vehicle, the vehicle is sensed multiple times, that is, multiple first vehicle speeds and multiple first vehicle positions are collected, the base station can average the differences between the multiple first vehicle speeds and the second vehicle speed to obtain the speed perception accuracy. In addition, the base station can average the distances between the multiple first vehicle positions and the second vehicle positions to obtain the position perception accuracy.

[0105] S803: The base station determines whether to update the first synaesthesia fusion frame according to the perception accuracy and the service accuracy requirement corresponding to the first Internet of Vehicles service.

[0106] It should be understood that different Internet of Vehicles services may correspond to different service accuracy requirements, which may include speed accuracy requirements and positioning accuracy requirements.

[0107] Exemplarily, as shown in Table 1 below, the traffic light warning service, the blind spot recognition service, and the remote parking service may each correspond to different service accuracy requirements.

[0108] Table 1

[0109]

[0110]

[0111] Considering that most of the Internet of Vehicles services are strongly related to road safety, and the dynamic changes of vehicles are frequent, which affects the perception accuracy of base stations. If the perception accuracy cannot meet the business accuracy requirements of the Internet of Vehicles services, it may lead to high safety risks. Therefore, the base station needs to dynamically adjust the preset synaesthesia fusion frame corresponding to the Internet of Vehicles services according to the changes in the actual perception accuracy, that is, when the perception accuracy decreases, the preset synaesthesia fusion frame with more perception subframes is selected to improve the perception accuracy.

[0112] Specifically, the base station may compare the perception accuracy with the business accuracy requirement, calculate the perception accuracy deviation, that is, the difference between the perception accuracy and the business accuracy requirement, to further determine whether to update the first synaesthesia fusion frame according to the size of the perception accuracy deviation. If the perception accuracy deviation is large, the base station may update the first synaesthesia fusion frame to a preset synaesthesia fusion frame with a larger number of perception subframes. If the perception accuracy deviation is small, the base station may keep the first synaesthesia fusion frame unchanged.

[0113] Based on this, in addition to determining different preset synaesthesia fusion frames for different Internet of Vehicles services based on the millimeter wave TDD frame structure, the base station can also obtain real-time vehicle information from the vehicle terminal, and determine the perception accuracy based on the vehicle real-time information and vehicle perception information, so as to dynamically update the preset synaesthesia fusion frames corresponding to the Internet of Vehicles services based on changes in perception accuracy, thereby achieving a match between the base station perception accuracy and the Internet of Vehicles services, and optimizing the Internet of Vehicles services.

[0114] Furthermore, when the base station is currently connected to multiple vehicle terminals, the base station can also record the preset synaesthesia fusion frames corresponding to the vehicle networking services executed by the multiple vehicle terminals, and send the corresponding frame structure information to each vehicle terminal. In this way, each vehicle terminal can receive and decode the synaesthesia information from the base station based on its corresponding preset synaesthesia fusion frame.

[0115] For example, in combination Figure 8 The base station can record the preset synaesthesia fusion frame corresponding to each vehicle-mounted terminal in the form of the following Table 2, so as to accurately decode the information sent by each vehicle-mounted terminal.

[0116] Table 2

[0117] Serial number Vehicle terminal identification Preset synaesthesia fusion frame type 1 12 Type A 2 122 type 3 3445 C Type 4 5552 0Type

[0118] In a possible embodiment, in the above S802, that is, when the base station determines the perception accuracy based on the vehicle perception information and the vehicle real-time information, the embodiment of the present application provides an optional implementation method, including: S8021-8022.

[0119] S8021. The base station determines a speed perception accuracy according to the first vehicle speed and the second vehicle speed.

[0120] The base station may determine the speed perception accuracy based on the first vehicle speed, the second vehicle speed, and the first expression.

[0121] Among them, the first expression is:

[0122]

[0123] Where dV0 is the speed perception accuracy. N is the number of times the base station perceives the vehicle speed between the last time the vehicle terminal reported the vehicle real-time information and the current time the vehicle real-time information was reported. VO i is the first vehicle speed obtained by the base station for the i-th vehicle speed sensing. V is the second vehicle speed reported by the vehicle terminal this time.

[0124] S8022. The base station determines the position perception accuracy according to the first vehicle position and the second vehicle position.

[0125] The base station may determine the location awareness accuracy based on the first vehicle position, the second vehicle position, and the second expression.

[0126] The second expression is:

[0127]

[0128] Wherein, dP0 is the position perception accuracy. N is the number of times the base station perceives the vehicle position between the last time the vehicle terminal reported the vehicle real-time information and the current time the vehicle real-time information was reported. (XO i ,YO i , ZO i ) is the position coordinate of the first vehicle position obtained by the base station performing the i-th vehicle position sensing. (X, Y, Z) is the position coordinate of the second vehicle position reported by the vehicle terminal this time.

[0129] In one possible embodiment, combining Figure 8 , assuming that the multiple preset synaesthesia fusion frames include three types of preset synaesthesia fusion frames A, B and C, the corresponding relationship between the Internet of Vehicles services and the preset synaesthesia fusion frames is shown in Table 3 below.

[0130] Table 3

[0131]

[0132] When the first Internet of Vehicles service is a traffic light warning service, the base station may initially determine that the traffic light warning service corresponds to a preset synaesthesia fusion frame of type A. When further executing the above S803, an embodiment of the present application provides an optional implementation method, including: S8031-8033.

[0133] S8031: When a gap between the perception accuracy and the service accuracy requirement is less than or equal to a first preset threshold, the base station determines to maintain the first synaesthesia fusion frame.

[0134] Optionally, the base station determines the gap between the perception accuracy and the business accuracy requirement based on the perception accuracy and the business accuracy requirement corresponding to the first Internet of Vehicles service by weightedly summing the difference between the speed perception accuracy and the speed accuracy requirement, and the difference between the position perception accuracy and the position accuracy requirement, to obtain the gap between the perception accuracy and the business accuracy requirement.

[0135] Alternatively, the base station may determine the gap between the perception accuracy and the service accuracy requirement based on the speed perception accuracy, the speed accuracy requirement, the location perception accuracy, the location accuracy requirement, and a third expression. The third expression is as follows:

[0136]

[0137] Wherein, Δd is the difference between the perception accuracy and the business accuracy requirement. dV0 is the speed perception accuracy. dV is the speed accuracy requirement. dP0 is the position perception accuracy. dP is the position accuracy requirement. a is a proportional coefficient less than 1, which is used to adjust the weight of the speed perception accuracy deviation and the position perception accuracy deviation in the difference between the perception accuracy and the business accuracy requirement.

[0138] If the difference between the perception accuracy and the service accuracy requirement is less than or equal to the first preset threshold, it can be indicated that the current perception accuracy of the base station can meet the accuracy requirement of the traffic light warning service. In this case, the base station can determine to keep the first synaesthesia fusion frame, that is, keep the preset synaesthesia fusion frame of type A corresponding to the traffic light warning service unchanged. The first preset threshold can be set flexibly. For example, the first preset threshold can be 0.3.

[0139] S8032: When the difference is greater than the first preset threshold and less than or equal to the second preset threshold, the base station updates the first synaesthesia fusion frame to the second synaesthesia fusion frame.

[0140] The number of perception subframes in the second synaesthesia fusion frame is greater than the number of perception subframes in the first synaesthesia fusion frame.

[0141] If the gap between the perception accuracy and the service accuracy requirement is greater than the first preset threshold and less than or equal to the second preset threshold, it can indicate that the current perception accuracy of the base station is difficult to meet the accuracy requirement of the traffic light warning service, and the base station perception accuracy has slightly decreased, the gap is small, and the number of perception subframes needs to be increased to improve the perception accuracy. In this case, the base station can update the first synaesthesia fusion frame to the second synaesthesia fusion frame, that is, update the preset synaesthesia fusion frame of type A corresponding to the traffic light warning service to the preset synaesthesia fusion frame of type B corresponding to the traffic light warning service. The second preset threshold can be set flexibly. For example, the second preset threshold can be 1.

[0142] S8033: When the difference is greater than a second preset threshold, the base station updates the first synaesthesia fusion frame to a third synaesthesia fusion frame.

[0143] The number of perception subframes in the third synaesthesia fusion frame is greater than the number of perception subframes in the second synaesthesia fusion frame.

[0144] If the difference between the perception accuracy and the service accuracy requirement is greater than the second preset threshold, it can indicate that the current perception accuracy of the base station is difficult to meet the accuracy requirement of the traffic light warning service, and the base station perception accuracy has dropped significantly, the gap is large, and it is necessary to increase the number of perception subframes to improve the perception accuracy. In this case, the base station can update the first synaesthesia fusion frame to the third synaesthesia fusion frame, that is, update the preset synaesthesia fusion frame of type A corresponding to the traffic light warning service to the preset synaesthesia fusion frame of type C corresponding to the traffic light warning service.

[0145] In a possible embodiment, in the above S801, that is, when the base station obtains the real-time information of the vehicle from the vehicle-mounted terminal, the embodiment of the present application provides an optional implementation method, including: S8011-8012.

[0146] S8011. The base station sends an information reporting instruction to the vehicle-mounted terminal.

[0147] Among them, the information reporting instruction is used to instruct the reporting of vehicle real-time information.

[0148] Optionally, the information reporting instruction may also instruct the vehicle terminal to periodically report the vehicle real-time information through newly added vehicle information reporting signaling, or to add relevant information fields in the uplink transmission data to report the vehicle real-time information.

[0149] S8012. The base station receives real-time vehicle information from the vehicle-mounted terminal.

[0150] In a possible embodiment, Fig. 9 As shown, it is a flow chart of another service perception method provided in an embodiment of the present application. Fig. 9 The service perception method shown includes: S901-911.

[0151] S901. The service server sends a service perception request to the base station.

[0152] S902: The base station determines a first synaesthesia fusion frame from a plurality of preset synaesthesia fusion frames.

[0153] S903: The base station generates an information reporting instruction.

[0154] S904: The base station sends synaesthesia data via a first synaesthesia fusion frame.

[0155] S905. The base station sends an information reporting instruction to the vehicle-mounted terminal.

[0156] S906. The vehicle-mounted terminal collects real-time vehicle information.

[0157] S907. The vehicle-mounted terminal sends real-time vehicle information to the base station.

[0158] S908. The base station determines the perception accuracy based on the vehicle perception information and the vehicle real-time information.

[0159] S909: The base station determines whether to update the first synaesthesia fusion frame according to the perception accuracy and the service accuracy requirement corresponding to the first Internet of Vehicles service.

[0160] S910. The base station sends synaesthesia data to the vehicle-mounted terminal.

[0161] If the base station does not update the first synaesthesia fusion frame, the base station sends the synaesthesia data to the vehicle terminal through the first synaesthesia fusion frame. If the base station updates the first synaesthesia fusion frame, the base station sends the synaesthesia data to the vehicle terminal through the updated preset synaesthesia fusion frame.

[0162] S911. The base station sends vehicle perception information to the service server.

[0163] It should be understood that regarding the implementation methods in the above S901-S911, reference may be made to the descriptions in the above embodiments, and no further details will be given here.

[0164] Based on the above embodiments, it can be seen that the present application is oriented to the Internet of Vehicles scenario, and defines preset synaesthesia fusion frames for different communication needs and perception needs. In addition, the base station can receive the service perception request issued by the service server of the core network, and activate the perception service of the Internet of Vehicles service, and can obtain the real-time information of the vehicle from the vehicle terminal, and further determine the perception accuracy deviation based on the real-time information of the vehicle and the vehicle perception information perceived by itself. Furthermore, the base station can dynamically update the preset synaesthesia fusion frame corresponding to the Internet of Vehicles service based on the perception accuracy deviation, and send the frame structure information of the preset synaesthesia fusion frame corresponding to the updated Internet of Vehicles service to the vehicle terminal. In this way, the vehicle terminal can receive the communication data and perception data from the base station according to the frame structure information indicated by the base station, so as to achieve the purpose of improving the perception accuracy and optimizing the experience of the Internet of Vehicles service.

[0165] The above mainly introduces the solution provided by the embodiment of the present application from the perspective of the method. In order to realize the above functions, it includes hardware structures and / or software modules corresponding to the execution of each function. Those skilled in the art should easily realize that, in combination with the units and algorithm steps of each example described in the embodiments disclosed herein, the present application can be implemented in the form of hardware or a combination of hardware and computer software. Whether a function is executed in the form of hardware or computer software driving hardware depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the present application.

[0166] The embodiment of the present application can divide the functional modules of the base station according to the above method example. For example, each functional module can be divided according to each function, or two or more functions can be integrated into one processing module. The above integrated module can be implemented in the form of hardware or in the form of software functional modules. Optionally, the division of modules in the embodiment of the present application is schematic and is only a logical function division. There may be other division methods in actual implementation.

[0167] like Fig.101 is a schematic diagram of a structure of a service sensing device provided in an embodiment of the present application. The service sensing device can be applied to a base station, and includes: a processing unit 1001, a sensing unit 1002 and a sending unit 1003.

[0168] The processing unit 1001 is used to determine a first synaesthesia fusion frame from a plurality of preset synaesthesia fusion frames in response to a service perception request from a service server; the service perception request is used to request the perception of a vehicle corresponding to a first Internet of Vehicles service; different preset synaesthesia fusion frames correspond to different Internet of Vehicles services, and different Internet of Vehicles services correspond to different vehicle moving speeds; the number of perception subframes in the preset synaesthesia fusion frame is negatively correlated with the vehicle moving speed; the first synaesthesia fusion frame is a preset synaesthesia fusion frame corresponding to the first Internet of Vehicles service; for example, in combination Figure 6 , the processing unit 1001 can be used to execute S601.

[0169] The sensing unit 1002 is configured to sense the vehicle through the sensing subframe in the first synaesthesia fusion frame to obtain vehicle sensing information when the service information of the first vehicle networking service is sent to the vehicle-mounted terminal on the vehicle through the communication subframe in the first synaesthesia fusion frame; for example, in combination with Figure 6 , the perception unit 1002 can be used to execute S602.

[0170] The sending unit 1003 is used to send the vehicle perception information to the service server. Figure 6 , the sending unit 1003 can be used to execute S603.

[0171] Optionally, the first Internet of Vehicles service is any one of the following: a traffic light warning service, a blind spot recognition service, and a remote parking service.

[0172] Optionally, the sending unit 1003 is further used to send frame structure information of the first synaesthesia fusion frame to the vehicle terminal, so as to perform data transmission with the vehicle terminal through the first synaesthesia fusion frame; the frame structure information is used to indicate the positions of the communication subframe and the perception subframe in the first synaesthesia fusion frame.

[0173] Optionally, the service perception device also includes: an acquisition unit 1004; the acquisition unit 1004 is used to acquire vehicle real-time information from the vehicle-mounted terminal; the vehicle real-time information is vehicle information collected by the vehicle-mounted terminal from sensors configured on the vehicle; the processing unit 1001 is also used to determine the perception accuracy based on the vehicle perception information and the vehicle real-time information; the perception accuracy is used to indicate the degree of deviation between the vehicle perception information and the vehicle real-time information; the processing unit 1001 is also used to determine whether to update the first synaesthesia fusion frame based on the perception accuracy and the service accuracy requirements corresponding to the first Internet of Vehicles service.

[0174] Optionally, the vehicle perception information includes a first vehicle speed and a first vehicle position of the vehicle perceived by the base station; the vehicle real-time information includes a second vehicle speed and a second vehicle position of the vehicle collected by the vehicle-mounted terminal; the perception accuracy includes speed perception accuracy and position perception accuracy; the processing unit 1001 is specifically used to: determine the speed perception accuracy based on the first vehicle speed and the second vehicle speed; determine the position perception accuracy based on the first vehicle position and the second vehicle position.

[0175] Optionally, the processing unit 1001 is specifically used to: when the gap between the perception accuracy and the business accuracy requirement is less than or equal to a first preset threshold, determine to maintain the first synaesthesia fusion frame; when the gap is greater than the first preset threshold and less than or equal to a second preset threshold, update the first synaesthesia fusion frame to a second synaesthesia fusion frame; the number of perception subframes in the second synaesthesia fusion frame is greater than the number of perception subframes in the first synaesthesia fusion frame; when the gap is greater than the second preset threshold, update the first synaesthesia fusion frame to a third synaesthesia fusion frame; the number of perception subframes in the third synaesthesia fusion frame is greater than the number of perception subframes in the second synaesthesia fusion frame.

[0176] Optionally, the acquisition unit 1004 is specifically used to: send an information reporting indication to the vehicle terminal; the information reporting indication is used to indicate reporting of vehicle real-time information; and receive vehicle real-time information from the vehicle terminal.

[0177] Those skilled in the art should be aware that in one or more of the above examples, the functions described in this application can be implemented using hardware, software, firmware, or any combination thereof. When implemented using software, these functions can be stored in a computer-readable medium or transmitted as one or more instructions or codes on a computer-readable medium. Computer-readable media include computer-readable storage media and communication media, wherein communication media include any media that facilitates the transmission of computer programs from one place to another. Storage media can be any available media that can be accessed by general or special-purpose computers.

[0178] Through the description of the above implementation methods, technical personnel in the relevant field can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional modules is used as an example. In actual applications, the above-mentioned functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above.

[0179] In several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic, for example, the division of the modules or units is only a logical function division, and there may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another device, or some features can be ignored or not executed. Another point is that the coupling or direct coupling or communication connection between each other shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms. The unit described as a separate component may or may not be physically separated, and the component displayed as a unit may be a physical unit or multiple physical units, that is, it may be located in one place, or it may be distributed in multiple different places. Some or all of the units can be selected according to actual needs to achieve the purpose of the scheme of this embodiment.

[0180] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any changes or substitutions that can be easily thought of by a person skilled in the art within the technical scope disclosed in the present application should be included in the protection scope of the present application. Therefore, the protection scope of the present application shall be based on the protection scope of the claims.

Claims

1. A service perception method, characterized in that: Applied to base stations, including: In response to a service perception request from a service server, a first synaesthesia fusion frame is determined from a plurality of preset synaesthesia fusion frames; the service perception request is used to request the perception of a vehicle corresponding to a first Internet of Vehicles service; different preset synaesthesia fusion frames correspond to different Internet of Vehicles services, and different Internet of Vehicles services correspond to different vehicle moving speeds; the proportion of synaesthesia subframes in the preset synaesthesia fusion frame is positively correlated with the vehicle moving speed; the proportion of synaesthesia subframes is the ratio between the number of communication subframes and the number of perception subframes in the preset synaesthesia fusion frame; the first synaesthesia fusion frame is a preset synaesthesia fusion frame corresponding to the first Internet of Vehicles service; In a case where the service information of the first Internet of Vehicles service is sent to the vehicle-mounted terminal on the vehicle through the communication subframe in the first synaesthesia fusion frame, the vehicle is sensed through the perception subframe in the first synaesthesia fusion frame to obtain vehicle perception information; The vehicle perception information is sent to the business server.

2. The service perception method according to claim 1, characterized in that: The first Internet of Vehicles service is any one of the following: a traffic light warning service, a blind spot recognition service, and a remote parking service.

3. The service perception method according to claim 2, characterized in that: The method further comprises: The frame structure information of the first synaesthesia fusion frame is sent to the vehicle-mounted terminal to perform data transmission with the vehicle-mounted terminal through the first synaesthesia fusion frame; the frame structure information is used to indicate the positions of the communication subframe and the perception subframe in the first synaesthesia fusion frame.

4. The service perception method according to claim 1, characterized in that: The method further comprises: Acquire vehicle real-time information from the vehicle-mounted terminal; the vehicle real-time information is vehicle information collected by the vehicle-mounted terminal from sensors configured on the vehicle; Determining a perception accuracy based on the vehicle perception information and the vehicle real-time information; the perception accuracy is used to indicate a degree of deviation between the vehicle perception information and the vehicle real-time information; Determine whether to update the first synaesthesia fusion frame according to the perception accuracy and the service accuracy requirement corresponding to the first Internet of Vehicles service.

5. The service perception method according to claim 4, characterized in that: The vehicle perception information includes a first vehicle speed and a first vehicle position of the vehicle perceived by the base station; the vehicle real-time information includes a second vehicle speed and a second vehicle position of the vehicle collected by the vehicle-mounted terminal; the perception accuracy includes a speed perception accuracy and a position perception accuracy; The determining the perception accuracy based on the vehicle perception information and the vehicle real-time information includes: determining the speed sensing accuracy according to the first vehicle speed and the second vehicle speed; The position perception accuracy is determined based on the first vehicle position and the second vehicle position.

6. The service perception method according to claim 4 or 5, characterized in that: The determining whether to update the first synaesthesia fusion frame according to the perception accuracy and the service accuracy requirement corresponding to the first Internet of Vehicles service includes: When the difference between the perception accuracy and the business accuracy requirement is less than or equal to a first preset threshold, determining to keep the first synaesthesia fusion frame; When the difference is greater than the first preset threshold and less than or equal to the second preset threshold, updating the first synaesthesia fusion frame to a second synaesthesia fusion frame; The number of perception subframes in the second synaesthesia fusion frame is greater than the number of perception subframes in the first synaesthesia fusion frame; When the difference is greater than the second preset threshold, updating the first synaesthesia fusion frame to a third synaesthesia fusion frame; The number of perception subframes in the third synaesthesia fusion frame is greater than the number of perception subframes in the second synaesthesia fusion frame.

7. The service perception method according to claim 4, characterized in that: The acquiring of real-time vehicle information from the vehicle-mounted terminal comprises: Sending an information reporting instruction to the vehicle-mounted terminal; the information reporting instruction is used to instruct reporting the real-time information of the vehicle; Receive the vehicle real-time information from the vehicle-mounted terminal.

8. A service perception device, characterized in that: Applied to a base station, comprising: a processing unit, a sensing unit and a sending unit; The processing unit is used to determine a first synaesthesia fusion frame from a plurality of preset synaesthesia fusion frames in response to a service perception request from a service server; the service perception request is used to request perception of a vehicle corresponding to a first Internet of Vehicles service; different preset synaesthesia fusion frames correspond to different Internet of Vehicles services, and different Internet of Vehicles services correspond to different vehicle moving speeds; the number of perception subframes in the preset synaesthesia fusion frame is negatively correlated with the vehicle moving speed; the first synaesthesia fusion frame is a preset synaesthesia fusion frame corresponding to the first Internet of Vehicles service; The sensing unit is configured to sense the vehicle through the sensing subframe in the first synaesthesia fusion frame to obtain vehicle sensing information when the service information of the first Internet of Vehicles service is sent to the vehicle-mounted terminal on the vehicle through the communication subframe in the first synaesthesia fusion frame; The sending unit is used to send the vehicle perception information to the business server.

9. A base station, characterized in that: It includes a memory and a processor; the memory is used to store computer execution instructions, and the processor is connected to the memory through a bus; when the base station is running, the processor executes the computer execution instructions stored in the memory, so that the base station executes the service perception method as described in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes computer-executable instructions. When the computer-executable instructions are executed on a base station, the base station executes the service awareness method according to any one of claims 1 to 7.

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