Communication quality monitoring and early warning method, device, electronic equipment and storage medium

Abstract

The present application relates to a communication quality monitoring and early warning method, device, electronic device and storage medium, which are applied to the field of communication technology. The method includes: receiving the communication quality spatiotemporal information sent by the vehicle-mounted terminal in real time; mapping the communication quality spatiotemporal information to the space grid according to the location information of the vehicle-mounted terminal; determining the communication quality information of the space grid according to the communication quality information in the target communication quality spatiotemporal information corresponding to each space grid; inputting the communication quality information of the space grid and the distance between the roadside communication equipment and the vehicle-mounted terminal into the communication quality prediction model to obtain the predicted communication quality information of the space grid; determining the predicted communication quality information of the roadside communication equipment according to the predicted communication quality information of each space grid within the coverage of the roadside communication equipment and the distance between each space grid and the roadside communication equipment; determining whether to warn according to the predicted communication quality information of the space grid and the roadside communication equipment. The monitoring and early warning of communication quality can be realized.

Description

Technical Field

[0001] The present application relates to the field of communication technology, and in particular to a communication quality monitoring and early warning method, device, electronic device and storage medium. Background Art

[0002] C-V2X (cellular vehicle-to-everything) communication infrastructure is being widely deployed and applied. Vehicle-to-everything communication technologies include Uu cellular communication technology and PC5 direct communication technology. Uu cellular communication technology uses the operator's 4G and 5G networks to achieve vehicle-to-cloud and vehicle-to-road communication through the Uu interface, and has the advantages of low deployment cost and wide coverage. PC5 direct communication technology achieves vehicle-to-vehicle and vehicle-to-road communication through broadcasting and other means, and has the characteristics of low vehicle-to-vehicle communication latency. Due to the characteristics of fast movement of vehicles, higher requirements are placed on the coverage quality and performance of communication infrastructure. How to achieve coverage performance analysis and real-time monitoring and early warning of C-V2X networks has become a technical problem that needs to be solved urgently. Summary of the invention

[0003] In order to solve the above technical problems, the present application provides a communication quality monitoring and early warning method, device, electronic device and storage medium.

[0004] According to a first aspect of the present application, a communication quality monitoring and early warning method is provided, comprising:

[0005] receiving in real time the location information and communication quality information of the roadside communication device, the location information of the vehicle terminal and the spatiotemporal information of the communication quality at the receiving time sent by the vehicle terminal; the location information and communication quality information of the roadside communication device are obtained by the vehicle terminal parsing the signal data received from the roadside communication device;

[0006] Determining the distance between the roadside communication device and the vehicle-mounted terminal according to the location information of the roadside communication device and the location information of the vehicle-mounted terminal;

[0007] Mapping the communication quality spatiotemporal information to a pre-divided spatial grid according to the location information of the vehicle-mounted terminal;

[0008] Determine the communication quality information of the spatial grid within a historical time window according to the communication quality information in the target communication quality spatiotemporal information corresponding to each spatial grid; the receiving time in the target communication quality spatiotemporal information is within the historical time window, and the position information of the vehicle-mounted terminal is within the spatial grid;

[0009] Inputting the communication quality information of the spatial grid in the historical time window and the distance into a communication quality prediction model to obtain predicted communication quality information of the spatial grid in a future time window;

[0010] Determining predicted communication quality information of the roadside communication device in a future time window according to predicted communication quality information of each spatial grid within the coverage range of the roadside communication device and the distance between each spatial grid and the roadside communication device;

[0011] Whether to issue an early warning is determined according to the predicted communication quality information of the spatial grid and the predicted communication quality information of the roadside communication device.

[0012] Optionally, determining the predicted communication quality information of the roadside communication device in a future time window according to the predicted communication quality information of each spatial grid within the coverage range of the roadside communication device and the distance between each spatial grid and the roadside communication device includes:

[0013] Setting a weight for each spatial grid according to the distance between each spatial grid and the roadside communication device within the coverage area of ​​the roadside communication device;

[0014] According to the weight, the predicted communication quality information of each spatial grid within the coverage area of ​​the roadside communication equipment is weighted averaged to obtain the predicted communication quality information of the roadside communication equipment in the future time window.

[0015] Optionally, the predicted communication quality information includes: packet loss rate and delay;

[0016] The determining whether to issue an early warning according to the predicted communication quality information of the spatial grid and the predicted communication quality information of the roadside communication device comprises:

[0017] For each spatial grid, when the packet loss rate of the spatial grid is greater than the packet loss rate threshold corresponding to the spatial grid, or the delay of the spatial grid is greater than the delay threshold corresponding to the spatial grid, issuing warning information for the spatial grid;

[0018] Wherein, the packet loss rate threshold and the delay threshold are determined according to the distance between the spatial grid and the roadside communication device;

[0019] When the packet loss rate of the roadside communication device is greater than a preset packet loss rate threshold, or the delay of the roadside communication device is greater than a preset delay, an early warning message for the roadside communication device is issued.

[0020] Optionally, determining the communication quality information of each spatial grid in a historical time window according to the communication quality information in the target communication quality spatiotemporal information corresponding to each spatial grid includes:

[0021] The average value of the communication quality information in the target communication quality spatiotemporal information corresponding to each spatial grid is determined as the communication quality information of the spatial grid in the historical time window.

[0022] According to a second aspect of the present application, a communication quality monitoring and early warning device is provided, comprising:

[0023] A communication quality spatiotemporal information receiving module is used to receive in real time the location information of the roadside communication device, the communication quality information, the location information of the vehicle terminal and the communication quality spatiotemporal information at the receiving time sent by the vehicle terminal; the location information and communication quality information of the roadside communication device are obtained by the vehicle terminal parsing the signal data received from the roadside communication device;

[0024] A roadside communication device and vehicle-mounted terminal distance calculation module, used to determine the distance between the roadside communication device and the vehicle-mounted terminal according to the location information of the roadside communication device and the location information of the vehicle-mounted terminal;

[0025] A space grid mapping module, used to map the communication quality spatiotemporal information to a pre-divided space grid according to the location information of the vehicle-mounted terminal;

[0026] A spatial grid communication quality determination module, used to determine the communication quality information of the spatial grid within a historical time window according to the communication quality information in the target communication quality spatiotemporal information corresponding to each spatial grid; the receiving time in the target communication quality spatiotemporal information is within the historical time window, and the position information of the vehicle terminal is within the spatial grid;

[0027] A space grid communication quality prediction module, used to input the communication quality information of the space grid in the historical time window and the distance into a communication quality prediction model to obtain predicted communication quality information of the space grid in a future time window;

[0028] A roadside communication equipment communication quality prediction module, used to determine the predicted communication quality information of the roadside communication equipment in a future time window according to the predicted communication quality information of each spatial grid within the coverage range of the roadside communication equipment and the distance between each spatial grid and the roadside communication equipment;

[0029] The communication quality abnormality warning module is used to determine whether to issue a warning based on the predicted communication quality information of the spatial grid and the predicted communication quality information of the roadside communication equipment.

[0030] Optionally, the roadside communication equipment communication quality prediction module is specifically used to set weights for each spatial grid within the coverage range of the roadside communication equipment according to the distance between each spatial grid and the roadside communication equipment; and according to the weights, perform weighted averaging on the predicted communication quality information of each spatial grid within the coverage range of the roadside communication equipment to obtain the predicted communication quality information of the roadside communication equipment in a future time window.

[0031] Optionally, the predicted communication quality information includes: packet loss rate and delay;

[0032] The abnormal communication quality warning module is specifically used to issue a warning message for each spatial grid when the packet loss rate of the spatial grid is greater than the packet loss rate threshold corresponding to the spatial grid, or the delay of the spatial grid is greater than the delay threshold corresponding to the spatial grid; wherein the packet loss rate threshold and the delay threshold are determined according to the distance between the spatial grid and the roadside communication device; and,

[0033] When the packet loss rate of the roadside communication device is greater than a preset packet loss rate threshold, or the delay of the roadside communication device is greater than a preset delay, an early warning message for the roadside communication device is issued.

[0034] Optionally, the spatial grid communication quality determination module is specifically configured to determine an average value of the communication quality information in the target communication quality spatiotemporal information corresponding to each spatial grid as the communication quality information of the spatial grid within the historical time window.

[0035] According to a third aspect of the present application, an electronic device is provided, comprising: a processor, wherein the processor is configured to execute a computer program stored in a memory, wherein the computer program implements the method described in the first aspect when executed by the processor.

[0036] According to a fourth aspect of the present application, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the method described in the first aspect is implemented.

[0037] According to a fifth aspect of the present application, a computer program product is provided. When the computer program product is run on a computer, the computer is enabled to execute the method described in the first aspect.

[0038] Compared with the prior art, the technical solution provided by the embodiments of the present application has the following advantages:

[0039] During the communication process with the roadside communication equipment, the vehicle-mounted terminal parses the signal data received from the roadside communication equipment, adds its own location information and receiving time, obtains the spatiotemporal information of the communication quality, and sends the spatiotemporal information of the communication quality to the cloud. The cloud maps the spatiotemporal information of the communication quality to the spatial grid based on the location information of the vehicle-mounted terminal, calculates the communication quality information of the spatial grid in the historical time window with each spatial grid as a unit, and uses the communication quality prediction model to predict the communication quality information of the spatial grid in the future time window. Furthermore, the predicted communication quality information of the roadside communication equipment in the future time window is predicted to determine whether to issue an early warning. In the embodiment of the present application, under the vehicle-road-cloud integrated system, the existing hardware equipment of the system (roadside communication equipment, vehicle-mounted terminal and cloud) is used to realize large-scale network communication quality monitoring and early warning by adding software modules. Based on the spatial grid, the communication quality of different areas can be calculated more finely, thereby improving the accuracy of the prediction of the roadside communication equipment and the communication quality of each area. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0041] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0042] Figure 1 A schematic diagram showing an exemplary system architecture to which the communication quality monitoring and early warning method and device according to an embodiment of the present application can be applied;

[0043] Figure 2 An interactive flow chart of the communication quality monitoring and early warning method in the embodiment of the present application;

[0044] Figure 3 A flow chart of the communication quality monitoring and early warning method in the embodiment of the present application;

[0045] Figure 4 A schematic diagram of the coverage of roadside communication equipment;

[0046] Figure 5 A schematic diagram of the structure of a communication quality monitoring and early warning device in an embodiment of the present application;

[0047] Figure 6 A schematic diagram of the structure of an electronic device in an embodiment of the present application. DETAILED DESCRIPTION

[0048] In order to more clearly understand the above-mentioned purposes, features and advantages of the present application, the scheme of the present application will be further described below. It should be noted that the embodiments of the present application and the features in the embodiments can be combined with each other without conflict.

[0049] In the following description, many specific details are set forth to facilitate a full understanding of the present application, but the present application may also be implemented in other ways different from those described herein; obviously, the embodiments in the specification are only part of the embodiments of the present application, rather than all of the embodiments.

[0050] Figure 1 A schematic diagram showing an exemplary system architecture to which the communication quality monitoring and early warning method and apparatus according to an embodiment of the present application can be applied.

[0051] like Figure 1 As shown, the system architecture 100 may include: a roadside communication device 101, a vehicle terminal 102, and a cloud 103. The roadside communication device 101 and the vehicle terminal 102, as well as the vehicle terminal 102 and the cloud 103 may communicate through the network. The roadside communication device 101 refers to a communication infrastructure that can exchange information with the vehicle terminal 102, such as a cellular communication base station, a direct communication roadside unit, etc. The vehicle terminal 102 refers to a vehicle terminal or other component with C-V2X communication (including Uu communication and PC5 direct communication technology).

[0052] See also Figure 2 , Figure 2 This is an interactive flow chart of the communication quality monitoring and early warning method in the embodiment of the present application, including the following steps:

[0053] Step S202: The roadside communication device sends signal data to the vehicle-mounted terminal.

[0054] Step S204: the vehicle terminal analyzes the signal data to obtain the location information and communication quality information of the roadside communication device. The communication quality spatiotemporal information is constructed based on the location information, communication quality information of the roadside communication device, the location information and receiving time of the vehicle terminal.

[0055] The communication quality information of the roadside communication equipment includes: signal receiving power RSRP, signal-to-noise ratio SNR, real-time packet loss rate or bit error rate, etc., as well as delay, reselection, switching delay, number of switching, etc. The communication quality spatiotemporal information contains time and space information. Therefore, the communication quality spatiotemporal information is the communication quality information containing time information and space information. The number of roadside communication equipment and vehicle-mounted terminals can be one or more. Therefore, for different roadside communication equipment, the vehicle-mounted terminal can also add the unique ID information of the roadside communication equipment when constructing the communication quality spatiotemporal information.

[0056] Step S206: The vehicle-mounted terminal sends the communication quality spatiotemporal information to the cloud.

[0057] Step S208: The cloud determines whether to issue an early warning based on the received spatiotemporal information on the communication quality.

[0058] The specific implementation of step S208 can be found in Figure 3 .

[0059] See also Figure 3 , Figure 3 This is a flow chart of the communication quality monitoring and early warning method in the embodiment of the present application, which is applied to the cloud and may include the following steps:

[0060] Step S302, receiving in real time the location information of the roadside communication device, the communication quality information, the location information of the vehicle terminal and the spatiotemporal information of the communication quality at the receiving time sent by the vehicle terminal; the location information and communication quality information of the roadside communication device are obtained by the vehicle terminal analyzing the signal data received from the roadside communication device.

[0061] Step S304: Determine the distance between the roadside communication device and the vehicle-mounted terminal according to the location information of the roadside communication device and the location information of the vehicle-mounted terminal.

[0062] For the same roadside communication device, the farther the distance between the vehicle terminal and the roadside communication device, the lower the strength of the signal data received by the vehicle terminal, and the closer the distance between the vehicle terminal and the roadside communication device, the higher the strength of the signal data received by the vehicle terminal. Therefore, the communication quality of the roadside communication device is judged by calculating the distance between the roadside communication device and the vehicle terminal.

[0063] Step S306: Mapping the communication quality spatiotemporal information to a pre-divided spatial grid according to the location information of the vehicle-mounted terminal.

[0064] In the embodiment of the present application, the monitoring area can be spatially gridded with a certain granularity to form a plurality of spatial grids, each of which is used to cover the basic unit of monitoring. According to the location information of the vehicle terminal, the communication quality spatiotemporal information is mapped to the pre-divided spatial grid. After mapping, the same spatial grid can correspond to the communication quality spatiotemporal information sent by different vehicle terminals at different times.

[0065] Step S308, determining the communication quality information of the spatial grid within the historical time window according to the communication quality information in the target communication quality spatiotemporal information corresponding to each spatial grid; the receiving time in the target communication quality spatiotemporal information is within the historical time window, and the location information of the vehicle terminal is within the spatial grid.

[0066] Normally, the communication quality of roadside communication equipment is monitored periodically. Therefore, the time window can be divided in advance to count the communication quality of roadside communication equipment within a time window. The historical time window refers to a time period before the current moment to ensure the real-time monitoring. For example, it can be within 5 seconds before the current moment. According to the historical time window and the location information of the vehicle terminal, the target communication quality spatiotemporal information corresponding to each spatial grid can be selected from the communication quality spatiotemporal information received from the cloud. The receiving time of the target communication quality spatiotemporal information is within the historical time window, and the location information of the vehicle terminal is within the spatial grid.

[0067] The number of target communication quality spatiotemporal information corresponding to each spatial grid is multiple, so the communication quality information of the spatial grid can be calculated based on the multiple target communication quality spatiotemporal information. Optionally, the average value of the communication quality information in the target communication quality spatiotemporal information corresponding to each spatial grid is determined as the communication quality information of the spatial grid in the historical time window.

[0068] Step S310 , inputting the communication quality information and distance of the space grid in the historical time window into the communication quality prediction model to obtain the predicted communication quality information of the space grid in the future time window.

[0069] The communication quality prediction model is a pre-built model, which can be a rule-based model or a neural network model. The predicted communication quality information can include packet loss rate, delay, etc.

[0070] Step S312, determining predicted communication quality information of the roadside communication device in the future time window according to the predicted communication quality information of each spatial grid within the coverage of the roadside communication device and the distance between each spatial grid and the roadside communication device.

[0071] Roadside communication equipment has a certain coverage range, such as Figure 4 Therefore, the predicted communication quality information of the roadside communication equipment in the future time window can be determined according to the predicted communication quality information of each spatial grid within the coverage range and the distance between each spatial grid and the roadside communication equipment.

[0072] Optionally, a weight may be set for each spatial grid according to the distance between each spatial grid and the roadside communication device within the coverage range of the roadside communication device. The closer the distance between the spatial grid and the roadside communication device, the larger the corresponding weight may be; the farther the distance between the spatial grid and the roadside communication device, the smaller the corresponding weight may be. According to the weight, the predicted communication quality information of each spatial grid within the coverage range of the roadside communication device is weighted averaged to obtain the predicted communication quality information of the roadside communication device in the future time window.

[0073] Step S314, determining whether to issue an early warning based on the predicted communication quality information of the spatial grid and the predicted communication quality information of the roadside communication equipment.

[0074] Since the distance between the spatial grid and the roadside communication equipment is different, the communication quality within the spatial grid will also be different. Therefore, different thresholds can be set for spatial grids at different distances, including: packet loss rate threshold and delay threshold, etc. For each spatial grid, when the packet loss rate of the spatial grid is greater than the packet loss rate threshold corresponding to the spatial grid, or the delay of the spatial grid is greater than the delay threshold corresponding to the spatial grid, an early warning message for the spatial grid is issued; wherein the packet loss rate threshold and the delay threshold are determined according to the distance between the spatial grid and the roadside communication equipment.

[0075] Similarly, when the packet loss rate of the roadside communication device is greater than a preset packet loss rate threshold, or the delay of the roadside communication device is greater than a preset delay, an early warning message is issued for the roadside communication device.

[0076] In the communication quality monitoring and early warning method of the embodiment of the present application, the vehicle-mounted terminal parses the signal data received from the roadside communication device during the communication process with the roadside communication device, and adds its own location information and receiving time to obtain the communication quality spatiotemporal information, and sends the communication quality spatiotemporal information to the cloud. The cloud maps the communication quality spatiotemporal information to the spatial grid according to the location information of the vehicle-mounted terminal, calculates the communication quality information of the spatial grid in the historical time window with each spatial grid as a unit, and uses the communication quality prediction model to predict the communication quality information of the spatial grid in the future time window. Furthermore, the predicted communication quality information of the roadside communication device in the future time window is predicted to determine whether to warn. In the embodiment of the present application, under the vehicle-road-cloud integrated system, the existing hardware equipment (roadside communication equipment, vehicle-mounted terminal and cloud) of the system is used to realize large-scale network communication quality monitoring and early warning by adding software modules. Based on the spatial grid, the communication quality of different areas can be calculated more finely, thereby improving the accuracy of the roadside communication equipment and the communication quality prediction of each area.

[0077] It should be noted that although the steps of the method in the present application are described in a specific order in the drawings, this does not require or imply that the steps must be performed in this specific order, or that all the steps shown must be performed to achieve the desired results. Additionally or alternatively, some steps may be omitted, multiple steps may be combined into one step, and / or one step may be decomposed into multiple steps, etc.

[0078] Corresponding to the above method embodiment, the present application embodiment also provides a communication quality monitoring and early warning device, see Figure 5 The communication quality monitoring and early warning device 500 includes:

[0079] The communication quality spatiotemporal information receiving module 502 is used to receive in real time the location information of the roadside communication device, the communication quality information, the location information of the vehicle terminal and the communication quality spatiotemporal information at the receiving time sent by the vehicle terminal; the location information and communication quality information of the roadside communication device are obtained by the vehicle terminal parsing the signal data received from the roadside communication device;

[0080] The distance calculation module 504 between the roadside communication device and the vehicle-mounted terminal is used to determine the distance between the roadside communication device and the vehicle-mounted terminal according to the location information of the roadside communication device and the location information of the vehicle-mounted terminal;

[0081] A space grid mapping module 506 is used to map the communication quality spatiotemporal information to a pre-divided space grid according to the location information of the vehicle-mounted terminal;

[0082] The spatial grid communication quality determination module 508 is used to determine the communication quality information of the spatial grid within the historical time window according to the communication quality information in the target communication quality spatiotemporal information corresponding to each spatial grid; the receiving time in the target communication quality spatiotemporal information is within the historical time window, and the position information of the vehicle terminal is within the spatial grid;

[0083] The space grid communication quality prediction module 510 is used to input the communication quality information and distance of the space grid in the historical time window into the communication quality prediction model to obtain the predicted communication quality information of the space grid in the future time window;

[0084] The roadside communication equipment communication quality prediction module 512 is used to determine the predicted communication quality information of the roadside communication equipment in the future time window according to the predicted communication quality information of each spatial grid within the coverage range of the roadside communication equipment and the distance between each spatial grid and the roadside communication equipment;

[0085] The communication quality abnormality warning module 514 is used to determine whether to issue a warning based on the predicted communication quality information of the spatial grid and the predicted communication quality information of the roadside communication equipment.

[0086] Optionally, the roadside communication equipment communication quality prediction module 512 is specifically used to set a weight for each spatial grid according to the distance between each spatial grid and the roadside communication equipment within the coverage range of the roadside communication equipment; and according to the weight, perform weighted averaging on the predicted communication quality information of each spatial grid within the coverage range of the roadside communication equipment to obtain the predicted communication quality information of the roadside communication equipment in the future time window.

[0087] Optionally, the predicted communication quality information includes: packet loss rate and delay;

[0088] The communication quality abnormality warning module 514 is specifically used to issue a warning message for each spatial grid when the packet loss rate of the spatial grid is greater than the packet loss rate threshold corresponding to the spatial grid, or the delay of the spatial grid is greater than the delay threshold corresponding to the spatial grid; wherein the packet loss rate threshold and the delay threshold are determined according to the distance between the spatial grid and the roadside communication device; and,

[0089] When the packet loss rate of the roadside communication device is greater than the preset packet loss rate threshold, or the delay of the roadside communication device is greater than the preset delay, an early warning message is issued for the roadside communication device.

[0090] Optionally, the spatial grid communication quality determination module 508 is specifically configured to determine an average value of the communication quality information in the target communication quality spatiotemporal information corresponding to each spatial grid as the communication quality information of the spatial grid within the historical time window.

[0091] The specific details of each module or unit in the above device have been described in detail in the corresponding method, so they will not be repeated here.

[0092] It should be noted that, although several modules or units of the equipment for action execution are mentioned in the above detailed description, this division is not mandatory. In fact, according to the embodiments of the present application, the features and functions of two or more modules or units described above can be embodied in one module or unit. On the contrary, the features and functions of one module or unit described above can be further divided into being embodied by multiple modules or units.

[0093] The present application also provides an electronic device, see Figure 6 , Figure 6 The electronic device of the embodiment of the present application includes: a processor 601, a communication interface 602, a memory 603 and a communication bus 604, wherein the processor 601, the communication interface 602 and the memory 603 communicate with each other through the communication bus 604;

[0094] Memory 603, used for storing computer programs;

[0095] The processor 601 is used to implement the above-mentioned communication quality monitoring and early warning method when executing the program stored in the memory 603.

[0096] It should be noted that the communication bus 604 mentioned in the above electronic device can be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus. The communication bus 604 can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 4 Only one thick line is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0097] The communication interface 602 is used for communication between the electronic device and other devices.

[0098] The memory 603 may include a RAM (Random Access Memory), or may include a non-volatile memory, such as at least one disk memory. Optionally, the memory 603 may also be at least one storage device located away from the aforementioned processor.

[0099] The above-mentioned processor 601 can be a general-purpose processor, including: CPU (Central Processing Unit), NP (Network Processor), etc.; it can also be DSP (Digital Signal Processing), ASIC (Application Specific Integrated Circuit), FPGA (Field-Programmable Gate Array) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components.

[0100] An embodiment of the present application also provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the above-mentioned communication quality monitoring and early warning method is implemented.

[0101] It should be noted that the computer-readable storage medium shown in the present application may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory, a read-only memory, an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present application, a computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, device or device. The program code contained on the computer-readable storage medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, optical cable, radio frequency, etc., or any suitable combination of the above.

[0102] In an embodiment of the present application, a computer program product is also provided. When the computer program product is run on a computer, the computer executes the above-mentioned communication quality monitoring and early warning method.

[0103] It should be noted that, in this article, relational terms such as "first" and "second" are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0104] The above description is only a specific implementation of the present application, so that those skilled in the art can understand or implement the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments described herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A communication quality monitoring and early warning method, characterized in that: include: Receive in real time the location information of the roadside communication device, the communication quality information, the location information of the vehicle terminal and the spatiotemporal information of the communication quality at the receiving time sent by the vehicle terminal; The location information and communication quality information of the roadside communication device are obtained by the vehicle-mounted terminal parsing the signal data received from the roadside communication device; Determining the distance between the roadside communication device and the vehicle-mounted terminal according to the location information of the roadside communication device and the location information of the vehicle-mounted terminal; Mapping the communication quality spatiotemporal information to a pre-divided spatial grid according to the location information of the vehicle-mounted terminal; Determine the communication quality information of the spatial grid within a historical time window according to the communication quality information in the target communication quality spatiotemporal information corresponding to each spatial grid; the receiving time in the target communication quality spatiotemporal information is within the historical time window, and the position information of the vehicle terminal is within the spatial grid; Inputting the communication quality information of the spatial grid in the historical time window and the distance into a communication quality prediction model to obtain predicted communication quality information of the spatial grid in a future time window; Determining predicted communication quality information of the roadside communication device in a future time window according to predicted communication quality information of each spatial grid within the coverage range of the roadside communication device and the distance between each spatial grid and the roadside communication device; Whether to issue an early warning is determined according to the predicted communication quality information of the spatial grid and the predicted communication quality information of the roadside communication device.

2. The method according to claim 1, characterized in that The step of determining predicted communication quality information of the roadside communication device in a future time window according to predicted communication quality information of each spatial grid within the coverage range of the roadside communication device and the distance between each spatial grid and the roadside communication device comprises: Setting a weight for each spatial grid according to the distance between each spatial grid and the roadside communication device within the coverage area of ​​the roadside communication device; According to the weight, the predicted communication quality information of each spatial grid within the coverage area of ​​the roadside communication equipment is weighted averaged to obtain the predicted communication quality information of the roadside communication equipment in the future time window.

3. The method according to claim 1, characterized in that The predicted communication quality information includes: packet loss rate and delay; The determining whether to issue an early warning according to the predicted communication quality information of the spatial grid and the predicted communication quality information of the roadside communication device comprises: For each spatial grid, when the packet loss rate of the spatial grid is greater than the packet loss rate threshold corresponding to the spatial grid, or the delay of the spatial grid is greater than the delay threshold corresponding to the spatial grid, issuing warning information for the spatial grid; Wherein, the packet loss rate threshold and the delay threshold are determined according to the distance between the spatial grid and the roadside communication device; When the packet loss rate of the roadside communication device is greater than a preset packet loss rate threshold, or the delay of the roadside communication device is greater than a preset delay, an early warning message for the roadside communication device is issued.

4. The method according to claim 1, characterized in that: The determining, according to the communication quality information in the target communication quality spatiotemporal information corresponding to each spatial grid, the communication quality information of the spatial grid within the historical time window comprises: The average value of the communication quality information in the target communication quality spatiotemporal information corresponding to each spatial grid is determined as the communication quality information of the spatial grid in the historical time window.

5. A communication quality monitoring and early warning device, characterized in that: The device comprises: A communication quality spatiotemporal information receiving module is used to receive in real time the location information of the roadside communication device, the communication quality information, the location information of the vehicle terminal and the communication quality spatiotemporal information at the receiving time sent by the vehicle terminal; the location information and communication quality information of the roadside communication device are obtained by the vehicle terminal parsing the signal data received from the roadside communication device; A roadside communication device and vehicle-mounted terminal distance calculation module, used to determine the distance between the roadside communication device and the vehicle-mounted terminal according to the location information of the roadside communication device and the location information of the vehicle-mounted terminal; A space grid mapping module, used to map the communication quality spatiotemporal information to a pre-divided space grid according to the location information of the vehicle-mounted terminal; A spatial grid communication quality determination module, used to determine the communication quality information of the spatial grid within a historical time window according to the communication quality information in the target communication quality spatiotemporal information corresponding to each spatial grid; the receiving time in the target communication quality spatiotemporal information is within the historical time window, and the position information of the vehicle terminal is within the spatial grid; A space grid communication quality prediction module, used to input the communication quality information of the space grid in the historical time window and the distance into a communication quality prediction model to obtain predicted communication quality information of the space grid in a future time window; A roadside communication equipment communication quality prediction module, used to determine the predicted communication quality information of the roadside communication equipment in a future time window according to the predicted communication quality information of each spatial grid within the coverage range of the roadside communication equipment and the distance between each spatial grid and the roadside communication equipment; The communication quality abnormality warning module is used to determine whether to issue a warning based on the predicted communication quality information of the spatial grid and the predicted communication quality information of the roadside communication equipment.

6. The device according to claim 5, characterized in that The roadside communication equipment communication quality prediction module is specifically used to set weights for each spatial grid according to the distance between each spatial grid and the roadside communication equipment within the coverage range of the roadside communication equipment; and according to the weights, weighted average the predicted communication quality information of each spatial grid within the coverage range of the roadside communication equipment to obtain the predicted communication quality information of the roadside communication equipment in the future time window.

7. The device according to claim 5, characterized in that The predicted communication quality information includes: packet loss rate and delay; The abnormal communication quality warning module is specifically used to issue a warning message for each spatial grid when the packet loss rate of the spatial grid is greater than the packet loss rate threshold corresponding to the spatial grid, or the delay of the spatial grid is greater than the delay threshold corresponding to the spatial grid; wherein the packet loss rate threshold and the delay threshold are determined according to the distance between the spatial grid and the roadside communication device; and, When the packet loss rate of the roadside communication device is greater than a preset packet loss rate threshold, or the delay of the roadside communication device is greater than a preset delay, an early warning message for the roadside communication device is issued.

8. The device according to claim 5, characterized in that The spatial grid communication quality determination module is specifically used to determine the average value of the communication quality information in the target communication quality spatiotemporal information corresponding to each spatial grid as the communication quality information of the spatial grid in the historical time window.

9. An electronic device, characterized in that: include: A processor, wherein the processor is used to execute a computer program stored in a memory, wherein the computer program, when executed by the processor, implements the method according to any one of claims 1 to 4.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method according to any one of claims 1 to 4 is implemented.

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