Communication control method and system based on vehicle-mounted device

Abstract

The application discloses a communication control method and system based on a vehicle-mounted device, and relates to the technical field of vehicle communication control. The communication control method based on the vehicle-mounted device comprises the following steps: initial communication resource determination, communication resource occupation optimization, and communication resource retention probability optimization. The application performs initial communication resource determination on the basis of communication resource retention data and real-time communication transmission conditions, then determines whether to perform communication resource occupation optimization on the communication resource retention data on the basis of the determination result, and if so, takes corresponding communication resource retention probability optimization measures according to the result of communication resource retention probability adjustment, otherwise, does not perform additional processing, thereby improving the timeliness of communication between the vehicle-mounted device and the outside world, and solving the problem of communication delay in communication between the vehicle-mounted device and the outside world caused by the difference in the utilization of communication resources in the semi-static scheduling mechanism in the prior art.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of vehicle communication control, and in particular to a communication control method and system based on a vehicle-mounted device. BACKGROUND

[0002] With the development of intelligent networked vehicles, vehicle-mounted devices play a core role in vehicle communication and control. The communication control method and system based on vehicle-mounted devices integrate key technologies such as vehicle-to-everything (V2X), autonomous driving, and intelligent perception, providing a solid foundation for efficient information exchange and intelligent decision-making between vehicles and the external environment.

[0003] Existing communication control technologies based on vehicle-mounted devices mainly rely on the CAN (Controller Area Network) bus, V2X communication protocols, and vehicle terminal control modules to achieve information exchange between vehicle internal control units, vehicles, and roads, but there are still limitations in data processing efficiency, communication latency, and system collaborative intelligence.

[0004] For example, the invention patent for communication control circuit and method for vehicle-mounted device, vehicle-mounted device and vehicle with publication number CN114019888B includes: the first input end of the main control unit is connected to the first output end of the GPS (Global Positioning System) unit for outputting timing positioning information and the first input circuit via the switching selection unit; the second input end of the main control unit is connected to the second output end of the GPS unit for outputting timing information and the second input circuit via the switching selection unit, and the first input circuit and the second input circuit are used to connect the positioning information output end of the external positioning calculation device. The control end of the switching selection unit is used to receive the switching control signal from the main control unit, and based on the switching control signal, the switching selection unit performs switching of the timing positioning information and timing information output by the GPS unit to access the main control unit and the timing positioning information and timing information of the external positioning calculation device to access the main control unit.

[0005] For example, the invention patent announcement No. CN115933469B: a kind of rail transit vehicle-mounted control method and system based on industrial Ethernet, comprising: obtaining vehicle-mounted equipment and control center;Based on industrial Ethernet, associate vehicle-mounted equipment and control center, to form vehicle-mounted control system;Based on the real-time efficiency of communication data and communication protocol of industrial Ethernet, control vehicle-mounted control system;Along the preset cycle, vehicle-mounted control system is troubleshooting, and at least one fault parameter is determined;Based on at least one fault parameter, determine the fault state of vehicle-mounted control system, wherein, based on the real-time efficiency of communication data and communication protocol of industrial Ethernet, control vehicle-mounted control system, and according to the communication data and communication protocol, control data on delivery, so as to ensure the real-time efficiency of vehicle-mounted control system.In addition, based on at least one fault parameter, determine the fault state of vehicle-mounted control system, and fault parameter is fault-tolerant design.

[0006] But in the process of implementing the technical scheme of the embodiments of the present application, it is found that the above-mentioned technology at least has the following technical problems:

[0007] In the prior art, due to the development of intelligent networked vehicles, vehicle-mounted equipment realizes real-time communication with the outside world, and there is a problem of communication delay when vehicle-mounted equipment communicates with the outside world due to the difference in utilization of communication resources by the semi-static scheduling mechanism in communication control. SUMMARY

[0008] The embodiments of the present application provide a communication control method and system based on vehicle-mounted equipment, which solves the problem of communication delay when vehicle-mounted equipment communicates with the outside world due to the difference in utilization of communication resources by the semi-static scheduling mechanism in communication control in the prior art, and improves the timeliness of communication between vehicle-mounted equipment and the outside world.

[0009] The embodiments of the present application provide a communication control method based on vehicle-mounted equipment, comprising the following steps: obtaining communication resource retention data of vehicle-mounted equipment of specified control vehicle through Internet of vehicles, and performing communication resource initial determination based on communication resource retention data and real-time communication sending situation, the communication resource retention data includes communication resource retention period, communication data transmission period and communication resource retention probability;Determine whether to perform communication resource occupation optimization on communication resource retention data based on the result of communication resource initial determination, the communication resource occupation optimization includes communication resource retention period optimization, communication data transmission period optimization and communication resource retention probability adjustment;If communication resource occupation optimization is performed, corresponding communication resource retention probability optimization measures are taken according to the result of communication resource retention probability adjustment, otherwise no additional processing is performed, and the communication resource retention probability optimization measures are used to regulate the communication resource possession probability of each vehicle-mounted equipment of specified control vehicle to improve the utilization rate of communication resources.

[0010] Further, based on the communication resource holding data and the real-time communication sending situation, the initial judgment of the communication resource is carried out, and the specific steps are as follows: W1, the communication data transmission situation of the vehicle-mounted equipment of the specified control vehicle in the communication resource holding period is monitored in real time to obtain the number of vehicle communication data transmissions, and the ratio operation is carried out based on the communication resource holding period and the communication data transmission period to obtain the expected number of communication data transmissions; W2, the ratio operation is carried out on the number of vehicle communication data transmissions and the expected number of communication data transmissions to obtain the resource utilization rate of the communication resource holding period; W3, if the resource utilization rate of the communication resource holding period is not less than the minimum limit value of the resource utilization rate obtained from the preset database, the communication resource holding period is not optimized, otherwise the communication resource holding data is optimized.

[0011] Further, the communication resource holding period is optimized, and the specific process is as follows: the resource occupation influence evaluation is carried out on the communication transmission demand situation of the vehicle-mounted equipment of the specified control vehicle in the preset communication period to obtain the resource occupation holding influence factor; the communication resource holding control data group is obtained by mapping the resource occupation holding influence factor in the preset database, and the communication resource holding control data group includes the holding period influence quantity and the holding probability influence quantity; based on the holding control data group, the communication resource holding period and the communication resource holding probability are respectively controlled to obtain the corresponding optimized holding period and optimized holding probability.

[0012] Further, the specific acquisition method of the resource occupation holding influence factor is as follows: the transmission demand data of the vehicle-mounted equipment is obtained, the transmission demand data includes vehicle speed, resource idle rate, signal-to-noise ratio, received packet proportion and transmission block error rate; the reference transmission data is obtained from the preset database, the reference transmission data includes reference transmission allocation value, reference transmission demand data and reference transmission influence allocation value, the reference transmission allocation value includes vehicle speed allocation value, resource idle rate allocation value, signal-to-noise ratio allocation value, received packet proportion allocation value and transmission block error rate allocation value, the reference transmission demand data includes vehicle speed limit value and signal-to-noise ratio limit value, and the reference transmission influence allocation value includes utilization rate allocation value and resource occupation allocation value; the vehicle speed and the signal-to-noise ratio are respectively quantified based on the corresponding reference transmission demand data to obtain the resource occupation vehicle speed influence proportion quantity and the resource occupation signal-to-noise ratio influence proportion quantity; after the resource occupation vehicle speed influence proportion quantity, the resource occupation signal-to-noise ratio influence proportion quantity, the resource idle rate, the received packet proportion and the transmission block error rate and their corresponding reference transmission allocation value are coupled after the weighting operation, the resource occupation holding influence quantitative value is obtained; the resource occupation holding influence factor is obtained by coupling the resource occupation holding influence quantitative value and the corresponding reference transmission influence allocation value after the weighting operation of the resource occupation holding period resource utilization rate and the resource occupation holding influence quantitative value, and the resource occupation holding influence factor is used to quantify the influence degree of the transmission demand data of the vehicle-mounted equipment on the resource occupation holding.

[0013] Further, the communication data transmission cycle is optimized, and the specific process is as follows: the transmission influence index of the communication data transmission cycle is obtained by quantifying the transmission influence of the communication data transmission demand in the communication resource maintenance cycle; a transmission cycle mapping set of the transmission cycle influence index and a preset transmission cycle adjustment multiple is constructed, the transmission cycle adjustment multiple includes a transmission cycle amplification multiple and a transmission cycle reduction multiple; the real-time transmission cycle influence index is input into the transmission cycle mapping set, and the transmission cycle adjustment multiple is output; the communication data transmission cycle is adjusted through the transmission cycle adjustment multiple, and the optimized communication data transmission cycle is obtained.

[0014] Further, the specific acquisition method of the transmission cycle influence index is as follows: obtain traffic change data, the traffic change data includes available bandwidth and vehicle acceleration; obtain traffic change influence allocation values and reference traffic change influence allocation values from a preset database, the traffic change influence allocation values include available bandwidth influence allocation values and vehicle acceleration influence allocation values, the reference traffic change influence allocation values include traffic change influence allocation values and resource utilization rate influence allocation values; after the traffic change data is normalized and coupled with the corresponding traffic change allocation values after weighting operation, the traffic change influence parameter is obtained; the transmission cycle influence index is obtained by coupling the traffic change influence parameter and the resource utilization rate of the maintenance cycle after weighting operation, the transmission cycle influence index is used to quantify the influence degree of the traffic change data on the transmission cycle.

[0015] Further, the specific steps of the communication resource maintenance probability adjustment are as follows: step one, obtaining the communication resource competition data of the vehicle-mounted device of the specified control vehicle through the vehicle networking, the communication resource competition data includes the number of communication vehicles and the amount of communication resource data, the number of communication vehicles represents the number of vehicles that communicate with the specified control vehicle through vehicle networking; step two, the corresponding vehicle communication resource competitiveness ratio is obtained by proportionally quantifying the obtained communication resource competition data; step three, the vehicle communication resource competitiveness ratio and the optimized maintenance probability are determined in the communication resource double optimization direction, and the corresponding communication resource maintenance probability optimization measures are taken according to the result of the communication resource double optimization direction determination.

[0016] Further, the specific process of the communication resource double optimization direction determination is as follows: comparing the vehicle communication resource competitiveness ratio with the communication competition range obtained from the preset database: if the vehicle communication resource competitiveness ratio is higher than the maximum value of the communication competition range, it is recorded that the global maintenance probability optimization direction of the communication resource in the preset communication period is first-class maintenance, and the first-class maintenance means that the communication resource maintenance probability is adjusted in the decreasing direction; if the vehicle communication resource competitiveness ratio is lower than the minimum value of the communication competition range, it is recorded that the global maintenance probability optimization direction of the communication resource in the preset communication period is second-class maintenance, and the second-class maintenance means that the communication resource maintenance probability is adjusted in the increasing direction; if the vehicle communication resource competitiveness ratio is within the communication competition range, no additional processing is performed; comparing the optimized maintenance probability with the preset maintenance probability obtained from the preset database to obtain the actual optimized maintenance probability direction: if the optimized maintenance probability is not less than the preset maintenance probability, it is recorded that the actual optimized maintenance probability direction is second-class maintenance; if the optimized maintenance probability is less than the preset maintenance probability, the actual optimized maintenance probability direction is first-class maintenance.

[0017] Further, the specific process of the communication resource double optimization direction determination is as follows: comparing the vehicle communication resource competitiveness ratio with the communication competition range obtained from the preset database: if the vehicle communication resource competitiveness ratio is higher than the maximum value of the communication competition range, it is recorded that the global maintenance probability optimization direction of the communication resource in the preset communication period is first-class maintenance, and the first-class maintenance means that the communication resource maintenance probability is adjusted in the decreasing direction; if the vehicle communication resource competitiveness ratio is lower than the minimum value of the communication competition range, it is recorded that the global maintenance probability optimization direction of the communication resource in the preset communication period is second-class maintenance, and the second-class maintenance means that the communication resource maintenance probability is adjusted in the increasing direction; if the vehicle communication resource competitiveness ratio is within the communication competition range, no additional processing is performed; comparing the optimized maintenance probability with the preset maintenance probability obtained from the preset database to obtain the actual optimized maintenance probability direction: if the optimized maintenance probability is not less than the preset maintenance probability, it is recorded that the actual optimized maintenance probability direction is second-class maintenance; if the optimized maintenance probability is less than the preset maintenance probability, the actual optimized maintenance probability direction is first-class maintenance.

[0018] The embodiment of the application provides a communication control system based on a vehicle-mounted device, which comprises a communication resource initial judgment module, a communication resource occupation optimization module and a communication resource retention probability optimization module; wherein the communication resource initial judgment module is used for obtaining communication resource retention data of the vehicle-mounted device of a specified control vehicle through vehicle networking, and performing communication resource initial judgment based on the communication resource retention data and real-time communication sending conditions; the communication resource retention data comprises a communication resource retention period, a communication data transmission period and a communication resource retention probability; the communication resource occupation optimization module is used for judging whether to perform communication resource occupation optimization on the communication resource retention data based on the result of the communication resource initial judgment; the communication resource occupation optimization comprises communication resource retention period optimization, communication data transmission period optimization and communication resource retention probability adjustment; the communication resource retention probability optimization module is used for taking corresponding communication resource retention probability optimization measures according to the result of the communication resource retention probability adjustment if the communication resource occupation optimization is performed, and otherwise, no additional processing is performed; the communication resource retention probability optimization measures are used for regulating the communication resource occupation probability of the vehicle-mounted device of each specified control vehicle to improve the communication resource utilization rate.

[0019] The one or more technical solutions provided in the embodiment of the application have at least the following technical effects or advantages:

[0020] 1. The communication resource retention data of the vehicle-mounted device of a specified control vehicle is obtained through vehicle networking, and communication resource initial judgment is performed based on the communication resource retention data and real-time communication sending conditions; whether to perform communication resource occupation optimization on the communication resource retention data is judged based on the result of the communication resource initial judgment; if the communication resource occupation optimization is performed, corresponding communication resource retention probability optimization measures are taken according to the result of the communication resource retention probability adjustment, and otherwise, no additional processing is performed, so that the communication resource is more accurately regulated, and the timeliness of the communication between the vehicle-mounted device and the outside world is improved, and the problem that communication delay occurs when the vehicle-mounted device communicates with the outside world due to the difference in the utilization of communication resources in the semi-static scheduling mechanism in the communication control in the prior art is effectively solved.

[0021] 2. The transmission demand data of the vehicle-mounted device is obtained, and reference transmission data is obtained from a preset database; the resource occupation speed influence proportion quantity and the resource occupation signal-to-noise ratio influence proportion quantity are obtained by proportionally quantifying the vehicle speed and the signal-to-noise ratio and the reference transmission demand data, respectively; then, the resource occupation retention influence quantitative value is obtained based on the above data and the reference transmission allocation value; finally, the resource occupation retention influence factor is obtained based on the resource occupation utilization rate of the retention period, the resource occupation retention influence quantitative value and the reference transmission influence allocation value, so that the influence degree of the transmission demand data of the vehicle-mounted device on the resource occupation is more accurately quantified, and measures are taken in time to improve the utilization rate of the communication resource.

[0022] 3、By acquiring traffic change data, and acquiring traffic change influence allocation values and reference traffic change influence allocation values from a preset database, and then performing data normalization processing on the traffic change data and processing the corresponding traffic change allocation values to obtain traffic change influence parameters, and finally obtaining a transmission period influence index according to the traffic change influence parameters and the resource utilization rate of the holding period, the influence degree of the traffic change data on the transmission period is more accurately quantified, and the transmission period is adjusted in time to improve the utilization rate of communication resources. BRIEF DESCRIPTION OF DRAWINGS

[0023] Figure 1 A flowchart of a communication control method based on a vehicle-mounted device provided by an embodiment of the present application is provided.

[0024] Figure 2 A flowchart of determining communication resource occupation optimization provided by an embodiment of the present application is provided.

[0025] Figure 3 A flowchart of communication resource holding probability adjustment provided by an embodiment of the present application is provided.

[0026] Figure 4 A structural schematic diagram of a communication control system based on a vehicle-mounted device provided by an embodiment of the present application is provided. DETAILED DESCRIPTION

[0027] The embodiment of the present application provides a communication control method and system based on a vehicle-mounted device, solves the problem of communication delay of the vehicle-mounted device and the outside world in communication due to the difference in utilization of communication resources caused by the semi-static scheduling mechanism in communication control in the prior art, obtains communication resource holding data of the vehicle-mounted device of a specified control vehicle through vehicle networking, and monitors the communication data transmission of the vehicle-mounted device of the specified control vehicle in the communication resource holding period to obtain the number of times of vehicle communication data transmission, then performs ratio operation based on the communication resource holding period and the communication data transmission period to obtain the expected number of times of communication data transmission, and then performs ratio operation on the number of times of vehicle communication data transmission and the expected number of times of communication data transmission to obtain the resource utilization rate of the communication resource holding period, if the resource utilization rate of the communication resource holding period is not less than the minimum limit value of the resource utilization rate obtained from the preset database, the communication resource holding period is not optimized, otherwise, the communication resource occupation of the communication resource holding data is optimized, then whether the communication resource occupation of the communication resource holding data is optimized is judged based on the result of the initial determination of the communication resource, if the communication resource occupation is optimized, corresponding communication resource holding probability optimization measures are taken according to the result of the communication resource holding probability adjustment, otherwise, no additional processing is performed, and the timeliness of the communication of the vehicle-mounted device and the outside world is improved.

[0028] The technical solution in the embodiments of the present application is to solve the problem of communication delay of the vehicle-mounted device when communicating with the outside world due to the difference in the utilization of communication resources caused by the semi-static scheduling mechanism in communication control. The general idea is as follows:

[0029] The communication resource retention data of the vehicle-mounted device of the specified control vehicle is obtained through vehicle networking, and based on this, the initial judgment of the communication resources is made according to the real-time communication sending situation. Then, it is judged whether to optimize the communication resource occupation based on the result of the judgment. If the communication resource occupation is optimized, corresponding communication resource retention probability optimization measures are taken according to the result of the communication resource retention probability adjustment. Otherwise, no additional processing is performed. This achieves the effect of improving the timeliness of the vehicle-mounted device when communicating with the outside world.

[0030] In order to better understand the above technical solution, the above technical solution will be described in detail in combination with the drawings in the specification and the specific embodiments.

[0031] As shown in Figure 1 , a flowchart of a communication control method based on a vehicle-mounted device provided by the embodiments of the present application is shown. The method includes the following steps: obtaining the communication resource retention data of the vehicle-mounted device of the specified control vehicle through vehicle networking, and making an initial judgment of the communication resources based on the communication resource retention data and the real-time communication sending situation. The communication resource retention data includes the communication resource retention period, the communication data transmission period and the communication resource retention probability. Based on the result of the initial judgment of the communication resources, it is judged whether to optimize the communication resource occupation based on the communication resource retention data. The communication resource occupation optimization includes communication resource retention period optimization, communication data transmission period optimization and communication resource retention probability adjustment. If the communication resource occupation is optimized, corresponding communication resource retention probability optimization measures are taken according to the result of the communication resource retention probability adjustment. Otherwise, no additional processing is performed. The communication resource retention probability optimization measures are used to regulate the communication resource occupation probability of each vehicle-mounted device of the specified control vehicle to improve the utilization rate of the communication resources.

[0032] In this embodiment, due to the development of intelligent connected vehicles, the vehicle-mounted device realizes real-time communication with the outside world. However, due to the semi-static scheduling mechanism in communication control, the vehicle-mounted device preoccupies and locks the communication resources for a certain period of time. Even if there is no communication data to be transmitted, other vehicles cannot use the communication resources and have to wait for the release of the communication resources, which reduces the utilization rate of the communication resources and causes the problem of communication delay in communication control when the vehicle-mounted device communicates with the outside world. By adjusting the communication resource retention data of the vehicle-mounted device, the utilization rate of the communication resources is improved, which reduces the time for other vehicles to wait for the release of the communication resources, and further reduces the communication control delay when the vehicle-mounted device communicates with the outside world.

[0033] It needs to be explained that before designing the communication control method based on the vehicle-mounted device, the preset personnel establishes a preset database for storing various types of setting data, which includes but is not limited to the minimum limit value of resource utilization rate, the communication resource maintenance control data group, the reference transmission allocation value, the reference transmission demand data, the traffic change allocation value, the communication competition range, the preset maintenance probability and the maintenance probability reduction amount, etc. Among them, various values are directly set by preset professionals, for example, the minimum limit value of resource utilization rate is preset by preset staff according to the specific communication resource situation of Internet of Vehicles and stored in the preset database.

[0034] Further, the initial judgment of the communication resource is based on the communication resource maintenance data and the real-time communication sending situation, and the specific steps are as follows:

[0035] W1, the real-time monitoring of the communication data transmission of the vehicle-mounted device of the specified control vehicle in the communication resource maintenance period obtains the number of vehicle communication data transmissions, and the ratio operation based on the communication resource maintenance period and the communication data transmission period obtains the expected number of communication data transmissions.

[0036] W2, the number of vehicle communication data transmissions and the expected number of communication data transmissions are ratio operated to obtain the resource utilization rate of the communication resource maintenance period.

[0037] W3, the minimum limit value of resource utilization rate is obtained from the preset database and compared with the resource utilization rate of the communication resource maintenance period:

[0038] If the resource utilization rate of the communication resource maintenance period is not less than the minimum limit value of resource utilization rate obtained from the preset database, the communication resource maintenance period is not optimized, otherwise the communication resource occupation of the communication resource maintenance data is optimized.

[0039] In this embodiment, through real-time monitoring and analysis of the vehicle communication data sending situation, it is helpful to more accurately calculate the difference between the actual used communication resource and the expected one, so as to more accurately evaluate the utilization rate of the communication resource, and if the resource utilization is found to be insufficient, it can be adjusted and optimized in time to reduce the resource waste; at the same time, according to the judgment of the communication resource utilization rate, when the resource utilization rate is lower than the preset minimum limit value, optimization is carried out, which improves the adaptability and response ability of the vehicle-mounted device in the face of multiple communication environment, and reduces the waiting time delay of the vehicle-mounted device when waiting for communication resources.

[0040] As Figure 2As shown, the flowchart provided by the embodiment of the application determines the process of communication resource occupation optimization. In the figure, the communication resource retention data of the vehicle-mounted device of the specified control vehicle is obtained through the Internet of Vehicles, and the communication data transmission of the vehicle-mounted device in the communication resource retention period is monitored in real time to obtain the number of times of communication data transmission of the vehicle, and the ratio of the communication resource retention period and the communication data transmission period is calculated to obtain the expected number of times of communication data transmission. The number of times of communication data transmission of the vehicle and the expected number of times of communication data transmission are calculated to obtain the resource utilization rate of the communication resource retention period. The lowest limit value of the resource utilization rate is obtained from the preset database and compared with the resource utilization rate of the communication resource retention period. If the resource utilization rate of the communication resource retention period is not less than the lowest limit value of the resource utilization rate obtained from the preset database, the communication resource retention period is not optimized, otherwise the communication resource occupation optimization of the communication resource retention data is performed. Based on the result of the initial determination of the communication resource, it is determined whether to perform the communication resource occupation optimization of the communication resource retention data. The communication resource occupation optimization includes communication resource retention period optimization, communication data transmission period optimization and communication resource retention probability adjustment. Through the above communication resource occupation optimization of the communication resource retention data, not only the utilization rate of the communication resource is improved, but also the communication delay of the vehicle-mounted device is reduced, and the timeliness of the communication between the vehicle-mounted device and the outside world is improved.

[0041] Further, the communication resource retention period optimization has the following specific process:

[0042] Firstly, the resource occupation influence of the communication transmission demand of the vehicle-mounted device of the specified control vehicle in the preset communication period is evaluated to obtain the resource occupation retention influence factor.

[0043] Then, the communication resource retention control data group is obtained by mapping the resource occupation retention influence factor in the preset database. The communication resource retention control data group includes the retention period influence quantity and the retention probability influence quantity.

[0044] It should be explained that the communication resource retention mapping set between the resource occupation retention influence factor and the communication resource retention control data group is constructed in the preset database. The real-time resource occupation retention influence factor is input into the communication resource retention mapping set, and the communication resource retention control data group is output. The communication resource retention mapping set represents the set of mapping relationships between the resource occupation retention influence factor and the communication resource retention control data group.

[0045] Finally, the retention control data group is used to control the communication resource retention period and the communication resource retention probability respectively to obtain the corresponding optimized retention period and optimized retention probability.

[0046] Specifically, the optimized retention period is obtained by multiplying the retention period influencing quantity and the communication resource retention period, and the optimized retention probability is obtained by multiplying the retention probability influencing quantity and the communication resource retention probability.

[0047] In the embodiment, by performing resource occupation influence evaluation on the communication transmission demand of the vehicle-mounted device in the preset communication period, the influence degree of different transmission demands on the occupation of communication resources can be accurately identified, thereby providing data support for subsequent optimization decisions; and the vehicle-mounted device can more flexibly adjust the resource allocation strategy, and control the communication resource retention period and the retention probability, so that the resource allocation is more dynamic, can adapt to the demand changes of different scenarios, and realizes more accurate resource scheduling.

[0048] Further, the specific acquisition method of the resource occupation retention influencing factor is as follows:

[0049] Firstly, the transmission demand data of the vehicle-mounted device is obtained, and the transmission demand data includes vehicle speed, resource idle rate, signal-to-noise ratio, received packet ratio and transmission block error rate.

[0050] It should be noted that the vehicle speed is obtained in real time through the GPS module in the vehicle-mounted device; the resource idle rate represents the ratio of the occupied resource quantity to the total resource quantity; the signal-to-noise ratio is measured by the communication module of the vehicle-mounted device, such as the LTE or 5G module, to measure the strength of the received wireless signal and the noise level, so as to calculate the signal-to-noise ratio, which is the ratio of the signal strength to the noise strength, and is usually measured automatically by the radio module of the receiving end; the vehicle-mounted device can real-time statistics the number of received data packets and lost data packets, and calculate the received packet ratio (the ratio of the number of received data packets to the total number of sent data packets); the transmission block error rate refers to the proportion of error blocks detected by the receiving end in the preset communication period, and the error block refers to the transmission block that is completely received and detected as an error after decoding and CRC (Cyclic Redundancy Check) check.

[0051] Reference transmission data is obtained from a preset database, and the reference transmission data includes reference transmission allocation values, reference transmission demand data and reference transmission influence allocation values, the reference transmission allocation values include vehicle speed allocation values, resource idle rate allocation values, signal-to-noise ratio allocation values, received packet ratio allocation values and transmission block error rate allocation values, the reference transmission demand data includes vehicle speed limit values and signal-to-noise ratio limit values, and the reference transmission influence allocation values include utilization allocation values and resource occupation allocation values.

[0052] Specifically, the reference transmission allocation value represents the influence degree of the vehicle-mounted device transmission demand data on the resource occupation maintaining influence quantization value. Each vehicle-mounted device transmission demand data and the corresponding reference transmission allocation value have a unique mapping relationship, and the value range is between 0 and 1; for example, a mapping set of vehicle-mounted device transmission demand data and a preset reference transmission allocation value is constructed, and the real-time vehicle speed, resource idle rate, signal-to-noise ratio, received packet ratio and transmission block error rate are input into the mapping set to obtain the corresponding vehicle speed allocation value, resource idle rate allocation value, signal-to-noise ratio allocation value, received packet ratio allocation value and transmission block error rate allocation value, which respectively represent the influence degree of the vehicle speed, resource idle rate, signal-to-noise ratio, received packet ratio and transmission block error rate on the resource occupation maintaining influence quantization value, and the sum of the five is 1.

[0053] Specifically, the reference transmission impact allocation value represents the influence degree of the resource occupation maintaining influence quantization value on the resource occupation maintaining influence factor. Each resource occupation maintaining influence quantization value and the corresponding reference transmission impact allocation value have a unique mapping relationship, and the value range is between 0 and 1; for example, a mapping set of resource occupation maintaining influence quantization value and a preset reference transmission impact allocation value is constructed, and the real-time resource occupation maintaining influence quantization value is input into the mapping set to obtain the corresponding utilization rate allocation value and resource occupation allocation value, which respectively represent the influence degree of the resource occupation maintaining influence quantization value on the resource occupation maintaining influence factor, and the sum of the two is 1.

[0054] It should be noted that the reference transmission demand data is obtained from a preset database. In a specific embodiment, the reference transmission demand data is pre-set by a preset staff according to the actual vehicle-mounted device transmission demand and stored in the preset database. The vehicle speed limit value represents the highest vehicle speed affecting the vehicle-mounted device transmission, and the signal-to-noise ratio limit value represents the maximum signal-to-noise ratio affecting the vehicle-mounted device transmission.

[0055] Thirdly, the vehicle speed and the signal-to-noise ratio are respectively quantified according to the corresponding reference transmission demand data to obtain the resource occupation vehicle speed impact proportion and the resource occupation signal-to-noise ratio impact proportion, wherein the higher the vehicle speed, the greater the proportion of the vehicle speed to the vehicle speed limit value, the faster the change of the vehicle surrounding environment (such as obstacles, other vehicles), the more frequent the reporting of the position and sensor data (such as laser radar point cloud) is needed to maintain real-time, and the high-speed driving may be accompanied by complex operations (such as emergency lane changing), triggering high-precision map updating, V2V emergency message (BSM) and other high-flow data transmission, so the influence on the driving data change of the specified control vehicle is greater, the data for communication with the outside world is more, and the resource occupation maintaining influence quantization value is also greater.

[0056] In the fourth step, the resource occupation keeping impact quantitative value is obtained by coupling the resource occupation vehicle speed influence proportion, the resource occupation signal-to-noise ratio influence proportion, the resource idle rate, the received packet proportion and the transmission block error rate and the corresponding reference transmission allocation value after weighting operation.

[0057] The specific calculation method of the resource occupation keeping impact quantitative value is as follows:

[0058] ;

[0059] Among them, V represents the vehicle speed of the specified control vehicle, R represents the resource idle rate of the specified control vehicle, SNR represents the signal-to-noise ratio of the specified control vehicle, RP represents the received packet proportion of the specified control vehicle, TBER represents the transmission block error rate of the specified control vehicle, V represents the vehicle speed allocation value, R represents the resource idle rate allocation value, SNR represents the signal-to-noise ratio allocation value, RP represents the received packet proportion allocation value, TBER represents the transmission block error rate allocation value, V represents the vehicle speed limit value, SNR represents the signal-to-noise ratio limit value, R represents the resource occupation keeping impact quantitative value of the specified control vehicle.

[0060] In the fifth step, the resource occupation keeping impact factor is obtained by coupling the resource occupation keeping impact quantitative value and the corresponding reference transmission impact allocation value after weighting operation of the resource occupation keeping period occupation resource utilization rate. The resource occupation keeping impact factor is used to quantify the influence degree of the transmission demand data of the vehicle-mounted equipment on the resource occupation keeping.

[0061] The specific limit expression of the resource occupation keeping impact factor is as follows:

[0062] ;

[0063] Among them, R represents the resource occupation keeping period occupation resource utilization rate of the specified control vehicle, R represents the resource occupation keeping impact quantitative value of the specified control vehicle, R represents the utilization rate allocation value, R represents the resource occupation allocation value, R represents the resource occupation keeping impact factor of the specified control vehicle.

[0064] In the embodiment, the algorithm combines the vehicle-mounted device transmission demand data, the reference transmission allocation value and the reference transmission demand data to analyze to obtain a resource occupation maintaining influence factor. In the formula, as the resource occupation vehicle speed influence proportion amount and the resource occupation signal-to-noise ratio influence proportion amount increase, the influence of the vehicle speed and the signal-to-noise ratio on the vehicle-mounted device communication transmission is greater, and the corresponding resource occupation maintaining influence factor is greater, indicating that the influence degree on the communication resource occupation is higher. When the resource idle rate and the received packet proportion are smaller, the resource utilization rate is higher, and the possibility of maintaining the occupation of the communication resource is greater, and the corresponding resource occupation maintaining influence factor is greater. As the transmission block error rate increases, the influence degree on the transmission communication control is higher, and the corresponding resource occupation maintaining influence factor is greater. When the maintaining period occupation resource utilization rate is greater, the utilization rate of the communication resource of the vehicle-mounted device in the communication control is higher, and the possibility of the resource occupation is higher, and the corresponding resource occupation maintaining influence factor is greater. Through the analysis of the resource occupation maintaining influence factor on the communication resource maintaining occupation, it is helpful to more accurately optimize the communication resource maintaining period and the communication resource maintaining probability, thereby improving the utilization rate of the communication resource, and further reducing the communication control delay of the vehicle-mounted device.

[0065] Further, the communication data transmission period is optimized, and the specific process is as follows: the transmission influence of the vehicle networking communication data transmission demand in the communication resource maintaining period is quantified to obtain a transmission period influence index; a transmission period mapping set of the transmission period influence index and a preset transmission period adjustment multiple is constructed. The transmission period influence index quantifies the influence degree of the traffic change data on the transmission period, and according to the influence degree, the adjustment demand degree of the transmission period due to the change of the traffic change data can be reflected and the corresponding quantized data, i.e. the transmission period adjustment multiple, is obtained. The transmission period adjustment multiple includes a transmission period amplification multiple and a transmission period reduction multiple. The transmission period mapping set represents a set of mapping relationships between the transmission period influence index and the preset transmission period adjustment multiple. The real-time transmission period influence index is input into the transmission period mapping set, and the transmission period adjustment multiple is output. The transmission period adjustment multiple is used to adjust the communication data transmission period to obtain an optimized communication data transmission period. The transmission period adjustment multiple and the communication data transmission period are multiplied to obtain the optimized communication data transmission period. When the communication data transmission period is amplified by the transmission period amplification multiple, the corresponding data occurrence frequency is reduced, and the resource waste caused by the continuous occupation of the resource is reduced. When the communication data transmission period is reduced by the transmission period reduction multiple, the corresponding data occurrence frequency is increased, and the utilization rate of the communication resource is improved.

[0066] In the embodiment, the communication data transmission period is dynamically adjusted according to real-time transmission requirements, the adaptability of the vehicle-mounted device to the changing communication environment is improved, idle transmission or inefficient transmission is reduced, the overall communication resource use is optimized, the stability and reliability of the communication link are improved by adjusting the communication data transmission period and reducing the probability of data contention, the stability of the communication data transmission is improved, and thus the stability of the communication control of the vehicle-mounted device is improved, and the timeliness of the communication of the vehicle-mounted device is improved.

[0067] Further, the specific acquisition method of the transmission period influence index is as follows:

[0068] C1, obtain traffic change data, the traffic change data including available bandwidth and vehicle acceleration; wherein, the greater the vehicle acceleration, the more unstable the fluctuation of the vehicle speed, the higher the transmission requirement degree of the vehicle speed related data, and the greater the vehicle acceleration, the higher the influence degree of the communication data transmission period.

[0069] It should be noted that the vehicle-mounted device dynamically adjusts its bandwidth requirement and obtains the current available bandwidth by periodically measuring and feeding back the rate, delay and packet loss rate of the transmission data packet; the vehicle acceleration is obtained by measuring the linear acceleration and angular velocity of the vehicle in real time through an inertial measurement unit (a combination sensor) including an accelerometer, a gyroscope and the like.

[0070] C2, obtain traffic change influence distribution values and reference traffic change influence distribution values from a preset database, the traffic change influence distribution values including available bandwidth influence distribution values and vehicle acceleration influence distribution values, and the reference traffic change influence distribution values including traffic change influence distribution values and resource utilization rate influence distribution values.

[0071] Specifically, the traffic change influence distribution values are obtained from the preset database, and the traffic change influence distribution values represent the influence degree of the traffic change data on the traffic change influence parameter. Each traffic change data and its corresponding traffic change influence distribution value have a unique mapping relationship, and the value range is between 0 and 1; for example, a mapping set of traffic change data and preset traffic change influence distribution values is constructed, the real-time available bandwidth and vehicle acceleration are input into the mapping set to obtain the corresponding available bandwidth influence distribution value and vehicle acceleration influence distribution value, which represent the influence degree of the available bandwidth and vehicle acceleration on the traffic change influence parameter respectively, and the sum of the two is 1.

[0072] Specifically, the reference traffic change impact allocation value is obtained from a preset database, and the reference traffic change impact allocation value represents the influence degree of the traffic change impact parameter and the influence index of the transmission cycle affected by the resource utilization rate of the holding cycle. Each traffic change impact parameter and the resource utilization rate of the holding cycle has a unique mapping relationship with the corresponding reference traffic change impact allocation value, and the value range is between 0 and 1; for example, a mapping set of the traffic change impact parameter and the resource utilization rate of the holding cycle and the preset reference traffic change impact allocation value is constructed, and the real-time traffic change impact parameter and the resource utilization rate of the holding cycle are input into the mapping set to obtain the corresponding traffic change impact allocation value and resource utilization rate impact allocation value, which respectively represent the influence degree of the traffic change impact parameter and the resource utilization rate of the holding cycle on the influence index of the transmission cycle, and the sum of the two is 1.

[0073] C3, the traffic change impact parameter is obtained by coupling the data normalization processing of the traffic change data and the weighting operation of the corresponding traffic change allocation value.

[0074] C4, the transmission cycle influence index is obtained by coupling the weighting operation of the traffic change impact parameter and the resource utilization rate of the holding cycle, and the transmission cycle influence index is used to quantify the influence degree of the traffic change data on the transmission cycle.

[0075] The specific limit expression of the transmission cycle influence index is as follows:

[0076] ;

[0077] In the formula, denotes the available bandwidth of the specified control vehicle, denotes the vehicle acceleration of the specified control vehicle, denotes the available bandwidth impact allocation value, denotes the vehicle acceleration impact allocation value, denotes the resource utilization rate of the holding cycle, denotes the traffic change impact allocation value, denotes the resource utilization rate impact allocation value, denotes the transmission cycle influence index of the specified control vehicle.

[0078] In the embodiment, the algorithm combines the traffic change data, the traffic change allocation value and the resource utilization rate of the holding cycle to obtain the transmission cycle influence index, wherein, as the available bandwidth increases The smaller the influence of the period is, the smaller the transmission period influence index corresponding to the period is; as the vehicle acceleration increases, the demand degree of the vehicle-mounted device for transmission data is higher, and the transmission period influence index corresponding to the period is larger; through the accurate quantification of the transmission period influence index on the demand of the vehicle-mounted device for communication data transmission within the transmission period, the communication data transmission period can be dynamically adjusted in a timely manner according to the data transmission demand of the vehicle-mounted device, so as to improve the transmission efficiency of the vehicle-mounted device for communication data, improve the utilization rate of communication resources, and further reduce the communication control time delay of the vehicle-mounted device.

[0079] As shown in Figure 3 The flowchart of the communication resource retention probability adjustment provided by the embodiment of the application is shown in the figure. In the figure, the communication resource competition data of the vehicle-mounted device is obtained through the Internet of Vehicles, the obtained communication resource competition data is proportionally quantified to obtain a corresponding vehicle communication resource competition ratio, the vehicle communication resource competition ratio and the optimized retention probability are subjected to communication resource double optimization direction determination, and corresponding communication resource retention probability optimization measures are taken according to the result of the communication resource double optimization direction determination; the vehicle communication resource competition ratio is compared with the communication competition range: if the vehicle communication resource competition ratio is higher than the maximum value of the communication competition range, the global retention probability optimization direction of the communication resource within the preset communication period is recorded as first-level retention, and the global retention probability optimization direction represents the retention probability optimization direction of the required communication resource retention period within the preset communication period; if the vehicle communication resource competition ratio is lower than the minimum value of the communication competition range, the global retention probability optimization direction of the communication resource within the preset communication period is recorded as second-level retention; if the vehicle communication resource competition ratio is within the communication competition range, no additional processing is performed; the optimized retention probability is compared with the preset retention probability obtained from the preset database to obtain the actual optimized retention probability direction: if the optimized retention probability is not less than the preset retention probability, the actual optimized retention probability direction is recorded as second-level retention; if the optimized retention probability is less than the preset retention probability, the actual optimized retention probability direction is first-level retention; if the global retention probability optimization direction and the actual optimized retention probability direction are the same, the communication resource retention probability is continuously optimized based on the actual optimized retention probability direction; if the actual optimized retention probability direction is second-level retention and the global retention probability optimization direction is first-level retention, the optimized retention probability is adjusted by the obtained retention probability reduction amount to obtain an optimized retention probability adjustment value; if the actual optimized retention probability direction is first-level retention and the global retention probability optimization direction is second-level retention, the communication resource retention probability is continuously optimized based on the actual optimized retention probability direction; the direction of the communication resource retention probability optimization is more accurately determined through the communication resource retention probability adjustment, thereby improving the utilization rate of the communication resources, further reducing the time extension of the vehicle-mounted device waiting for communication, and improving the timeliness of the vehicle-mounted device communication.

[0080] Further, the specific steps of the communication resource retention probability adjustment are as follows:

[0081] Step one, obtain the communication resource competition data of the vehicle-mounted device of the specified control vehicle through the Internet of Vehicles, the communication resource competition data including the number of communication vehicles and the communication resource data volume, the number of communication vehicles representing the number of vehicles that communicate with the specified control vehicle through the Internet of Vehicles.

[0082] It should be noted that the number of communication vehicles is obtained through the number of neighbor table entries in the OBU (On-Board Unit) of the vehicle end, and the communication resource data volume is obtained through the total amount of data packets sent and received by the OBU.

[0083] Step two, proportionally quantize the obtained communication resource competition data to obtain the corresponding vehicle communication resource competition ratio, wherein the proportionally quantizing means performing a ratio operation on the communication resource data volume and the number of communication vehicles.

[0084] Step three, determine the communication resource double optimization direction of the vehicle communication resource competition ratio and the optimized retention probability, and take corresponding communication resource retention probability optimization measures according to the result of the communication resource double optimization direction determination.

[0085] In this embodiment, the resource retention probability is intelligently adjusted according to the real-time competition situation to avoid waste or congestion of communication resources; the resources are actively released when the resource competition is low to improve the resource use flexibility and network capacity; the existing resources are preferentially retained when the resource competition is intense to reduce the communication delay and reliability decline caused by resource reselection; and it is particularly suitable for large-scale vehicle high-speed mobile scenarios in the Internet of Vehicles to ensure connection continuity and efficient transmission.

[0086] Further, the communication resource double optimization direction determination includes two aspects, which are as follows:

[0087] On the one hand, compare the vehicle communication resource competition ratio with the communication competition range obtained from the preset database: if the vehicle communication resource competition ratio is higher than the maximum value of the communication competition range, record the global retention probability optimization direction of the communication resource in the preset communication period as first-level retention, which means that the communication resource retention probability is adjusted in the decreasing direction, i.e. reducing the communication resource retention probability; if the vehicle communication resource competition ratio is lower than the minimum value of the communication competition range, record the global retention probability optimization direction of the communication resource in the preset communication period as second-level retention, which means that the communication resource retention probability is adjusted in the increasing direction, i.e. increasing the communication resource retention probability; if the vehicle communication resource competition ratio is within the communication competition range, no additional processing is performed.

[0088] Specifically, the communication competition range is preset by a preset staff and stored in a preset database, wherein the communication competition range comprises a communication competition range maximum value and a communication competition range minimum value.

[0089] On the other hand, the optimized holding probability is compared with the preset holding probability obtained from the preset database to obtain an actual optimized holding probability direction: if the optimized holding probability is not less than the preset holding probability, the actual optimized holding probability direction is recorded as a secondary holding; if the optimized holding probability is less than the preset holding probability, the actual optimized holding probability direction is a primary holding.

[0090] Specifically, the preset holding probability is preset by a preset staff and stored in a preset database, which is a demarcation value of the communication resource holding probability for determining whether to continue to occupy the current communication resource.

[0091] In this embodiment, the mechanism considers both the communication resource competition degree and the preset holding strategy, realizes more accurate communication resource holding probability adjustment, improves the communication resource multiplexing rate in the high competition case (i.e., the vehicle communication resource competitiveness ratio is higher than the communication competition range maximum value), and strengthens the stable connection in the low competition case (i.e., the vehicle communication resource competitiveness ratio is lower than the communication competition range minimum value), which is beneficial to reduce the communication interruption caused by resource conflict and reselection, is especially suitable for high-speed vehicle networking scenarios, and by adjusting the communication resource holding probability, it is helpful to reduce the invalid communication between vehicles and roads, and reduce the communication delay of vehicle-mounted device communication, and realizes the improvement of the timeliness of vehicle-mounted device communication control.

[0092] Further, corresponding communication resource holding probability optimization measures are taken, which involve three cases in total, and the specific process is as follows:

[0093] The first case is that if the global holding probability optimization direction and the actual optimized holding probability direction are the same, the communication resource holding probability is optimized based on the actual optimized holding probability direction.

[0094] The second case is that if the actual optimized holding probability direction is a secondary holding and the global holding probability optimization direction is a primary holding, the optimized holding probability is adjusted by the obtained holding probability reduction amount to obtain an optimized holding probability adjustment value, and the holding probability reduction amount is obtained by mapping the difference between the competition deviation and the optimization deviation in the preset database, the competition deviation represents the deviation between the vehicle resource competitiveness index and the competition range maximum value, and the optimization deviation represents the deviation between the optimized holding probability and the preset holding probability.

[0095] Specifically, the difference degree value is obtained by calculating the ratio between the competition deviation and the optimization deviation. A mapping set between the difference degree value and the reduction in the probability of maintaining the status quo is constructed. The difference degree value obtained in real time based on the competition deviation and the optimization deviation is input into the mapping set to obtain the corresponding reduction in the probability of maintaining the status quo. This mapping set represents the set of mapping relationships between the difference degree value and the reduction in the probability of maintaining the status quo.

[0096] In the third case, if the actual optimization direction for maintaining the probability is first-level maintenance and the global optimization direction for maintaining the probability is second-level maintenance, then the communication resource maintenance probability will continue to be optimized based on the actual optimization direction for maintaining the probability.

[0097] In this embodiment, when the actual optimization direction is inconsistent with the global direction, deviation mapping is introduced, which helps to resolve directional contradictions, improve the flexibility and stability of vehicle-mounted equipment communication, and avoid over-optimization or under-adjustment through quantitative analysis of competition deviation and optimization deviation, thereby improving the accuracy of resource scheduling. Similarly, the communication resource allocation strategy is dynamically adjusted according to real-time competition pressure, which helps to improve the stability and throughput of the vehicle network communication system. Furthermore, by more accurately controlling the communication resource retention probability, the number of communication reselections and frequent switching is reduced, extending the battery life of the vehicle terminal and improving communication timeliness.

[0098] like Figure 4 The diagram shown is a structural diagram of a communication control system based on vehicle-mounted equipment provided in an embodiment of this application. The communication control system based on vehicle-mounted equipment includes a communication resource initial determination module, a communication resource occupancy optimization module, and a communication resource retention probability optimization module.

[0099] The initial communication resource determination module is used to obtain communication resource maintenance data of the on-board equipment of the designated vehicle through the Internet of Vehicles, and to make an initial determination of communication resources based on the communication resource maintenance data and the real-time communication transmission status. The communication resource maintenance data includes the communication resource maintenance period, the communication data transmission period, and the communication resource maintenance probability.

[0100] The communication resource occupancy optimization module is used to determine whether to optimize the communication resource occupancy of data based on the initial determination of communication resources. The communication resource occupancy optimization includes communication resource retention period optimization, communication data transmission period optimization, and communication resource retention probability adjustment.

[0101] The communication resource retention probability optimization module is used to take corresponding communication resource retention probability optimization measures based on the result of communication resource retention probability adjustment if communication resource occupancy optimization is performed; otherwise, no additional processing is performed. The communication resource retention probability optimization measures are used to regulate the communication resource occupancy probability of the on-board equipment of each designated control vehicle to improve the communication resource utilization rate.

[0102] In summary, the embodiment of the present application obtains the communication resource maintaining data of the vehicle-mounted device of the specified control vehicle through the Internet of Vehicles, and performs communication resource initial determination based on the communication resource maintaining data and real-time communication sending situation, then determines whether to perform communication resource occupation optimization on the communication resource maintaining data based on the result of the communication resource initial determination, if the communication resource occupation optimization is performed, corresponding communication resource maintaining probability optimization measures are taken according to the result of the communication resource maintaining probability adjustment, otherwise, no additional processing is performed, so that the communication resource is more accurately regulated and controlled, and the timeliness of the communication between the vehicle-mounted device and the outside world is improved, and the problem that the communication delay occurs when the vehicle-mounted device communicates with the outside world due to the difference in the utilization of the communication resource in the semi-static scheduling mechanism in the communication control in the prior art is effectively solved.

[0103] Those skilled in the art will appreciate that embodiments of the application can be supplied as a method, a system, or a computer program product. Accordingly, the application can be embodied in the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the application can be embodied in the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk memory, CD-ROMs, optical memory, etc.) having computer usable program code embodied thereon.

[0104] The present application is described in reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each flow and / or block in the flowcharts and / or block diagrams, and the combination of the flows and / or blocks in the flowcharts and / or block diagrams can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device produce an apparatus for implementing the functions specified in the flowcharts and / or block diagrams. Figure 1 one or more flows and / or blocks Figure 1 an apparatus for implementing the functions specified in the flowcharts and / or block diagrams.

[0105] These computer program instructions can also be stored in a computer-readable memory capable of guiding the computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer-readable memory produce a product including instruction apparatus, which implements the functions specified in the flowcharts and / or block diagrams. Figure 1 one or more flows and / or blocks Figure 1 an apparatus for implementing the functions specified in the flowcharts and / or block diagrams.

[0106] These computer program instructions can also be loaded into a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart block or blocks. Figure 1 one or more flowcharts and / or blocks Figure 1 one or more flowcharts and / or blocks

[0107] Although preferred embodiments of the application have been described herein, it will be apparent to those skilled in the art that various modifications can be made within the scope of the application without departing from the spirit of the application. Accordingly, it is intended that all such possible modifications be included within the scope of the application as claimed.

[0108] Obviously, numerous modifications and variations of the present application are possible in light of the above teachings. It is therefore to be understood that within the scope of the appended claims and their equivalents, the application can be practiced otherwise than as specifically described herein.

Claims

1. A communication control method based on vehicle-mounted equipment, characterized in that, Includes the following steps: The communication resource maintenance data of the on-board equipment of the designated vehicle is obtained through the Internet of Vehicles, and an initial determination of communication resources is made based on the communication resource maintenance data and the real-time communication transmission status. The communication resource maintenance data includes the communication resource maintenance period, the communication data transmission period, and the communication resource maintenance probability. Based on the initial determination of communication resources, it is determined whether to optimize the communication resource usage of the data to be kept on the communication resources. The optimization of communication resource usage includes optimization of the communication resource retention period, optimization of the communication data transmission period, and adjustment of the communication resource retention probability. If communication resource occupancy optimization is performed, corresponding communication resource occupancy probability optimization measures are taken based on the results of communication resource occupancy probability adjustment; otherwise, no additional processing is performed. The communication resource occupancy probability optimization measures are used to regulate the communication resource occupancy probability of the on-board equipment of each designated control vehicle in order to improve the communication resource utilization rate. The initial determination of communication resources based on communication resource maintenance data and real-time communication transmission status involves the following steps: W1 monitors the communication data transmission status of the vehicle-mounted equipment of the specified controlled vehicle within the communication resource maintenance period in real time to obtain the number of vehicle communication data transmissions, and calculates the expected number of communication data transmissions based on the ratio of the communication resource maintenance period to the communication data transmission period. W2 calculates the resource utilization rate of the communication resource maintenance period by comparing the number of times vehicle communication data is sent with the expected number of times communication data is sent. W3: If the resource utilization rate during the communication resource retention period is not less than the minimum resource utilization limit obtained from the preset database, then the communication resource retention period will not be optimized; otherwise, the communication resource retention data will be optimized for communication resource usage.

2. The communication control method based on vehicle-mounted equipment as described in claim 1, characterized in that: The optimization of the communication resource retention period is performed as follows: An impact assessment of resource occupancy is conducted on the communication transmission requirements of the on-board equipment of a designated controlled vehicle within a preset communication period, resulting in a resource occupancy maintenance impact factor. The communication resource maintenance control data set is obtained by mapping the resource occupation maintenance influence factor in a preset database. The communication resource maintenance control data set includes the maintenance cycle influence quantity and the maintenance probability influence quantity. Based on the control data set, the control period and probability of communication resources are controlled to obtain the corresponding optimized control period and optimized probability. The specific method for obtaining the resource occupancy maintenance impact factor is as follows: Acquire transmission demand data for vehicle-mounted equipment, including vehicle speed, resource idle rate, signal-to-noise ratio, received packet ratio, and transmission block error rate; Reference transmission data is obtained from a preset database. The reference transmission data includes reference transmission allocation values, reference transmission demand data, and reference transmission impact allocation values. The reference transmission allocation values ​​include vehicle speed allocation values, resource idle rate allocation values, signal-to-noise ratio allocation values, received packet ratio allocation values, and transmission block error rate allocation values. The reference transmission demand data includes vehicle speed limits and signal-to-noise ratio limits. The reference transmission impact allocation values ​​include utilization rate allocation values ​​and resource occupancy allocation values. The proportions of vehicle speed and signal-to-noise ratio with the corresponding reference transmission demand data are quantified to obtain the proportion of resource occupation affected by vehicle speed and the proportion of resource occupation affected by signal-to-noise ratio. The resource occupation maintenance impact quantification value is obtained by weighting and coupling the proportion of resource occupation speed impact, the proportion of resource occupation signal-to-noise ratio impact, resource idle rate, received packet ratio and transmission block error rate and their corresponding reference transmission allocation values. The resource occupancy maintenance influence factor is obtained by coupling the resource occupancy maintenance influence quantification value with the corresponding reference transmission influence allocation value after performing the maintenance cycle resource occupancy maintenance rate and resource occupancy maintenance influence quantification value. The resource occupancy maintenance influence factor is used to quantify the degree of influence of vehicle equipment transmission demand data on resource occupancy maintenance.

3. The communication control method based on vehicle-mounted equipment as described in claim 1, characterized in that: The optimization of the communication data transmission cycle is carried out as follows: The impact of vehicle-to-everything (V2X) communication data transmission demand during the communication resource retention period is quantified to obtain the transmission period impact index. Construct a transmission cycle mapping set between the transmission cycle influence index and a preset transmission cycle adjustment factor, wherein the transmission cycle adjustment factor includes a transmission cycle amplification factor and a transmission cycle reduction factor; Input the real-time transmission cycle impact index into the transmission cycle mapping set and output the transmission cycle adjustment factor. The communication data transmission cycle is optimized by adjusting the transmission cycle adjustment factor. The specific method for obtaining the transmission cycle impact index is as follows: Acquire traffic change data, including available bandwidth and vehicle acceleration; The traffic change impact allocation value and reference traffic change impact allocation value are obtained from a preset database. The traffic change impact allocation value includes the available bandwidth impact allocation value and the vehicle acceleration impact allocation value. The reference traffic change impact allocation value includes the traffic change impact allocation value and the resource utilization rate impact allocation value. After normalizing the traffic change data, the data is coupled with the corresponding traffic change allocation value after weighting to obtain the traffic change impact parameter. The transmission cycle impact index is obtained by weighting and coupling the traffic change impact parameters with the resource utilization rate of the maintenance cycle. The transmission cycle impact index is used to quantify the degree of impact of traffic change data on the transmission cycle.

4. The communication control method based on vehicle-mounted equipment as described in claim 1, characterized in that: The specific steps for adjusting the probability of maintaining communication resources are as follows: Step 1: Obtain communication resource contention data of the on-board equipment of the designated control vehicle through the vehicle network. The communication resource contention data includes the number of communicating vehicles and the amount of communication resource data. The number of communicating vehicles represents the number of vehicles jointly communicating with the designated control vehicle's vehicle network. Step 2: Perform proportional quantization on the obtained communication resource competition data to obtain the corresponding vehicle communication resource competition ratio. Here, proportional quantization means calculating the ratio between the amount of communication resource data and the number of communication vehicles. Step 3: Determine the dual optimization direction of communication resources based on the competition ratio of vehicle communication resources and the optimization maintenance probability, and take corresponding optimization measures for the communication resource maintenance probability based on the results of the dual optimization direction determination.

5. The communication control method based on vehicle-mounted equipment as described in claim 4, characterized in that: The specific process for determining the dual optimization direction of communication resources is as follows: The vehicle communication resource contention ratio is compared with the communication contention range obtained from a preset database: If the vehicle communication resource contention ratio is higher than the maximum value of the communication contention range, then the global retention probability optimization direction of the communication resources within the preset communication period is recorded as Level 1 retention, which means adjusting the communication resource retention probability in the direction of decreasing. If the vehicle communication resource contention ratio is lower than the minimum value of the communication contention range, then the global retention probability optimization direction of the communication resources within the preset communication period is recorded as secondary retention, which means adjusting the communication resource retention probability in the upward direction; If the vehicle communication resource contention ratio is within the communication contention range, no additional processing is required; The direction of the actual optimized retention probability is obtained by comparing the optimized retention probability with the preset retention probability obtained from the preset database. If the optimized retention probability is not less than the preset retention probability, then the direction of the actual optimized retention probability is recorded as second-level retention; If the optimized retention probability is less than the preset retention probability, then the actual optimized retention probability direction is first-level retention.

6. The communication control method based on vehicle-mounted equipment as described in claim 5, characterized in that: The specific process of adopting corresponding communication resource preservation probability optimization measures is as follows: If the global preservation probability optimization direction is the same as the actual preservation probability optimization direction, then continue to optimize the communication resource preservation probability based on the actual preservation probability optimization direction. If the actual optimization probability direction is secondary maintenance and the global maintenance probability optimization direction is primary maintenance, then the optimization maintenance probability is adjusted by the obtained reduction in maintenance probability to obtain the optimization maintenance probability adjustment value. The reduction in maintenance probability is obtained by mapping the difference between competition deviation and optimization deviation in a preset database. The competition deviation represents the deviation between the vehicle resource competitiveness index and the maximum value of the competition range. If the actual optimization direction for maintaining the probability is Level 1, and the global optimization direction for maintaining the probability is Level 2, then the communication resource maintenance probability will continue to be optimized based on the actual optimization direction for maintaining the probability.

7. A communication control system based on vehicle-mounted equipment, characterized in that: It includes a communication resource initial determination module, a communication resource occupancy optimization module, and a communication resource retention probability optimization module; The initial communication resource determination module is used to obtain communication resource maintenance data of the on-board equipment of the designated control vehicle through the vehicle network, and to make an initial determination of communication resources based on the communication resource maintenance data and the real-time communication transmission status. The communication resource maintenance data includes the communication resource maintenance period, the communication data transmission period, and the communication resource maintenance probability. The communication resource occupancy optimization module is used to determine whether to optimize the communication resource occupancy of data based on the initial determination of communication resources. The communication resource occupancy optimization includes communication resource retention period optimization, communication data transmission period optimization, and communication resource retention probability adjustment. The communication resource retention probability optimization module is used to take corresponding communication resource retention probability optimization measures according to the result of communication resource retention probability adjustment if communication resource occupancy optimization is performed; otherwise, no additional processing is performed. The communication resource retention probability optimization measures are used to adjust the communication resource occupancy probability of the on-board equipment of each designated control vehicle to improve the communication resource utilization rate. The initial determination of communication resources based on communication resource maintenance data and real-time communication transmission status involves the following steps: W1 monitors the communication data transmission status of the vehicle-mounted equipment of the specified controlled vehicle within the communication resource maintenance period in real time to obtain the number of vehicle communication data transmissions, and calculates the expected number of communication data transmissions based on the ratio of the communication resource maintenance period to the communication data transmission period. W2 calculates the resource utilization rate of the communication resource maintenance period by comparing the number of times vehicle communication data is sent with the expected number of times communication data is sent. W3: If the resource utilization rate during the communication resource retention period is not less than the minimum resource utilization limit obtained from the preset database, then the communication resource retention period will not be optimized; otherwise, the communication resource retention data will be optimized for communication resource usage.

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