Road congestion information acquisition method and device

Abstract

The present application provides a method and device for obtaining road congestion information. In the technical solution of the present application, the edge cloud platform in the cloud network receives digital signal information containing road images through the fifth generation 5G communication technology, the edge cloud platform obtains the road image based on the received digital signal information of the road image, and the edge cloud platform sends the obtained road image to the terminal device through a 5G short message. The edge cloud platform has the characteristics of large bandwidth and low latency, and the 5G communication technology has the characteristics of high transmission efficiency, so it can quickly transmit information, thereby reducing the latency of the terminal device in obtaining the road image.

Description

Technical Field

[0001] The present application relates to the field of intelligent transportation technology, and in particular to a method and device for acquiring road congestion information. Background Art

[0002] Intelligent transportation technology is a technical method that effectively and comprehensively applies advanced information technology, data communication technology, electronic control technology and computer technology to the entire transportation management system, and is the development direction of the future transportation system. At present, an existing method for obtaining road congestion information is as follows: the camera device deployed around the road collects image information of vehicles on the road, and sends the image information to the 4G base station through the fourth generation communication technology (4G); after the 4G base station receives the image information, it sends the image information to the central cloud platform in the cloud network; after the central cloud platform receives the image information, it obtains the vehicle flow information on the road based on the image information, and sends the vehicle flow information to the map software (Application, referred to as APP) in the terminal device through the 4G network; after the map APP receives the vehicle flow information, it estimates the road congestion situation based on the vehicle flow information, and marks the road congestion situation at the corresponding position on the electronic map.

[0003] However, the road congestion conditions identified by the above method are often inaccurate. For example, there is a problem of excessive time delay between the road congestion conditions identified by the above method and the actual road congestion conditions. Summary of the invention

[0004] The present application provides a method and device for obtaining road congestion information, which can reduce the delay in obtaining road congestion information.

[0005] In a first aspect, the present application provides a method for obtaining road congestion information, the method comprising: an edge cloud platform receives first information, the first information comprising digital signal information of a road image; the edge cloud platform obtains the road image based on the first information; and the edge cloud platform sends the road image.

[0006] In this method, an edge cloud platform is used to receive digital signal information of a road image, the edge cloud platform obtains the road image from the received digital signal information of the road image, and the edge cloud platform sends the obtained road image. Because the edge cloud platform has the characteristics of large bandwidth and low latency, the road image can be quickly obtained from the received digital signal information of the road image, thereby reducing the latency of obtaining road congestion information.

[0007] In a possible implementation, the edge cloud platform receives the first information, including: the edge cloud platform receives the first information through the 5th generation 5G communication technology.

[0008] In this method, because the fifth generation 5G communication technology has the characteristics of high speed and large bandwidth, receiving the first information through 5G communication technology can increase the rate of receiving information.

[0009] In a possible implementation, the edge cloud platform sending the road image includes: the edge cloud platform sending the road image in a short message manner.

[0010] In a possible implementation, the edge cloud platform sends the road image in a short message, including:

[0011] The edge cloud platform sends the road image via 5G short messages.

[0012] In this method, the edge cloud platform can deploy 5G short message applications. 5G short messages can be one or more videos, or one or more pictures. 5G short messages can use the large bandwidth and high speed characteristics of the 5G network to ensure that video images can be clearly and smoothly transmitted to the terminal device.

[0013] In a possible implementation, the edge cloud platform acquires the road image based on the first information, including:

[0014] The edge cloud platform decodes the first information to obtain a first road image;

[0015] The edge cloud platform performs image processing on the first road image to obtain a second road image, wherein the second road image only includes image elements that can represent road congestion information. Accordingly, the edge cloud platform sends the road image, including:

[0016] The edge cloud platform sends the second road image.

[0017] In this method, the edge cloud platform can deploy image processing related application software. At the same time, the edge cloud platform has large-capacity data storage and data processing capabilities, which can provide resource support for image processing. Therefore, rapid processing of image information can be achieved through the edge cloud platform.

[0018] In a possible implementation manner, the image format of the second road image is an image format that can be recognized by the target terminal device. Accordingly, the edge cloud platform sends the second road image, including:

[0019] The edge cloud platform sends the second road image to the target terminal device.

[0020] In this method, the edge cloud platform sends the second road image to the terminal device, and the edge cloud platform converts the format of the second road image into a format recognizable by the terminal, thereby improving the rate of displaying the second road image on the terminal device.

[0021] In a second aspect, the present application provides a device for acquiring road congestion information, the device comprising various functional modules for implementing the method in the first aspect, wherein each functional module can be implemented by software and / or hardware.

[0022] As an example, the apparatus may include: a receiving module, configured to receive first information on an edge cloud platform, wherein the first information includes digital signal information of a road image;

[0023] An acquisition module, used for the edge cloud platform to acquire the road image based on the first information;

[0024] A sending module is used for the edge cloud platform to send the road image.

[0025] In a possible implementation, the receiving module is specifically used for: the edge cloud platform receives the first information through the fifth generation 5G communication technology.

[0026] In a possible implementation, the sending module is specifically configured to: the edge cloud platform sends the road image in the form of a short message.

[0027] In a possible implementation, the sending module is specifically used for: the edge cloud platform sends the road image via a 5G short message.

[0028] In a possible implementation, the acquisition module is specifically used for: the edge cloud platform decodes the first information to obtain a first road image; the edge cloud platform performs image processing on the first road image to obtain a second road image, and the second road image only contains image elements that can represent road congestion information.

[0029] In a possible implementation, the sending module is specifically configured to: the edge cloud platform sends the second road image.

[0030] In a possible implementation manner, the image format of the second road image is an image format that can be recognized by the target terminal device.

[0031] In a possible implementation, the sending module is specifically configured to: cause the edge cloud platform to send the second road image to the target terminal device.

[0032] Because the device in the second aspect includes various functional modules for implementing the method in the first aspect, the technical effects in the first aspect are also applicable to the device in the second aspect and will not be repeated here.

[0033] In a third aspect, the present application provides a device for acquiring road congestion information, the device comprising: at least one processor and a memory.

[0034] The memory stores computer-executable instructions; and the at least one processor executes the computer-executable instructions stored in the memory, so that the at least one processor can execute any one of the methods described in the first aspect.

[0035] The device may be a cloud server or a cloud service system, or may be a device that can be applied to a cloud server or a cloud service system, for example, may be a chip that can be applied to a cloud server or a cloud service system.

[0036] Because the device in the third aspect includes various functional modules for implementing the method in the first aspect, the technical effects in the first aspect are also applicable to the device in the third aspect and will not be repeated here.

[0037] In a fourth aspect, the present application provides a road congestion information acquisition system, the system comprising: a device as described in any one of the second aspect or the third aspect.

[0038] In a fifth aspect, the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores computer-executable instructions, and when a processor executes the computer-executable instructions, the method in the first aspect is implemented.

[0039] In a sixth aspect, the present application provides a computer program product, wherein the computer program product comprises a computer program, and when the computer program is executed by a processor, the method in the first aspect is implemented. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 A schematic diagram of an application scenario provided for an embodiment of the present application;

[0041] Figure 2 An exemplary system architecture diagram for obtaining road congestion information provided by one embodiment of the present application;

[0042] Figure 3 A schematic diagram of a process for obtaining road congestion information performed by an edge cloud platform according to an embodiment of the present application;

[0043] Figure 4 A schematic structural diagram of a device for acquiring road congestion information provided by one embodiment of the present application;

[0044] Figure 5 A schematic diagram of the structure of a device for acquiring road congestion information provided in one embodiment of the present application. DETAILED DESCRIPTION

[0045] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0046] Figure 1 This is a schematic diagram of an application scenario provided by an embodiment of the present application. Figure 1 As shown, a camera device is used to obtain vehicle image information on the road, and the vehicle image information is transmitted to the electronic map APP of the terminal, so that travelers can obtain the road vehicle congestion situation through the map APP and reasonably plan their travel routes, or so that the traffic management department can obtain the road vehicle congestion situation through the map APP and conduct traffic sorting.

[0047] In related technologies, after the camera device collects road image information, it transmits the vehicle image information to the 4G base station through the 4G network, and then the 4G base station sends the image information to the central cloud platform in the cloud network. The central cloud platform then identifies the vehicles in the image information and counts the number of vehicles to determine the traffic flow information on the same road in the same period of time, and sends the traffic information to the map APP.

[0048] In this method, since the central cloud platform needs to centrally process the collected data, the delay is large and the efficiency is low, which will cause the traffic flow information to be displayed to the map users with a delay. In addition, the limited bandwidth and rate of the 4G network will also cause the image information transmitted to the central cloud platform to be not smooth and the image quality is not clear, resulting in inaccurate traffic flow information obtained using this method. In the embodiment of the present application, the vehicle image information on the road can also be understood as road congestion information.

[0049] In response to the above problems, the present application proposes a method for obtaining road congestion information. In the technical solution proposed in the present application, the edge cloud platform of the cloud network processes the image information collected by the camera device and sends it to the map APP. Compared with the above-mentioned method in which the central cloud platform processes the image information collected by the camera device to obtain road traffic information, because the edge cloud platform is deployed closer to the camera device deployed on the road than the central cloud platform, the transmission time is shorter, which can reduce the transmission time of the image information, thereby reducing the delay for the map APP to obtain the image information; and, each edge cloud platform processes the image information within its own range respectively, which can reduce the computing pressure, thereby improving the computing efficiency, and ultimately reducing the delay for the map APP to obtain the image information.

[0050] In addition, in the technical solution of the present application, image information is transmitted through a 5G network. Compared with the aforementioned transmission of image information through a 4G network, the 5G network has a larger bandwidth and transmission efficiency, so the transmission rate of image information can be increased, thereby reducing the delay of the map APP in obtaining image information.

[0051] Figure 2 This is an exemplary system architecture diagram for obtaining road congestion information provided by one embodiment of the present application. Figure 2 As shown, the system may include a camera device 21, a router 22, a customer premise equipment 23 (Customer Premise Equipment, referred to as CPE equipment), a base station 24, a user port function 25 (User Plane Function, referred to as UPF equipment), a cloud network 26 and a terminal device 27.

[0052] The camera device 21 generally has basic functions such as video recording and static image capture. After the lens in the camera device 21 captures the image, the photosensitive component and the control component in the camera device 21 process the image and convert it into a digital signal that can be recognized by the computer. Among them, the lens used to capture the image can be called a capture module, and the components that convert the image into a digital signal can be collectively referred to as a conversion module.

[0053] The camera device 21 in this embodiment may further include a communication module, through which the camera device 21 communicates with other devices.

[0054] The camera device 21 in this embodiment can be deployed on the vehicle, specifically on the front windshield, around the vehicle body, the trunk or the rearview mirror of the vehicle; it can also be deployed around the road, specifically at a section with heavy traffic such as an intersection. The camera device in this embodiment adopts an industrial design, can withstand high temperature and humidity, and can record or take pictures of road conditions and vehicles in real time.

[0055] The router 22 is a network device that connects multiple networks or network segments and has data channel functions and control functions. The data channel functions include data packet filtering, packet forwarding, and data aggregation; the control functions mainly include information exchange with adjacent routers, system configuration, system management, etc.

[0056] The router 22 in this embodiment can be deployed on a vehicle or around a road, and can be specifically deployed below a camera or at a location close to the camera.

[0057] CPE equipment can be called customer premise equipment. It can convert wired networks into wireless networks, and can also convert high-speed 4G / 5G signals into wireless network (WIFI) signals. It can also support a large number of mobile terminals accessing the Internet at the same time. CPE can provide wireless network access, save broadband costs and eliminate the need for wiring.

[0058] The UPF device 25 is a user-side diversion network element, which may include diversion methods such as the Internet Protocol Address (IP) address quintuple. The UPF device 25 can divert information based on the above method.

[0059] The cloud network 26 includes an edge cloud platform and a central cloud platform. The edge cloud platform can generally be deployed on both sides of roads, enterprise parks or factory production lines, and the central cloud platform can generally be deployed in provincial capital cities with large data demand and many applications. A map APP can be deployed on the terminal device 27.

[0060] The camera device 21 can communicate with the router 22 , and the image information is sent to the router 22 through the camera device 21 .

[0061] The camera device 21 and the router 22 can be deployed on the vehicle at the same time; they can also be deployed on the road at the same time; or one can be deployed on the vehicle and the other can be deployed on the road.

[0062] When the camera device 21 and the router 22 are deployed on a vehicle or on a road at the same time, the camera device 21 and the router 22 can communicate with each other via a wired manner or a wireless manner.

[0063] When the camera 21 and the router 22 are deployed separately, for example, the camera 21 is deployed on the roadside and the router 22 is deployed on a vehicle, or the camera 21 is deployed on a vehicle and the router 22 is deployed on the roadside, the camera 21 and the router 22 generally communicate wirelessly.

[0064] The CPE device 23 may be deployed on a vehicle. The router 22 may send information to the CPE device 23 via a WIFI signal, and the CPE device 23 may receive information by receiving the WIFI signal.

[0065] The CPE device 23 can communicate with the base station 24. After receiving the WIFI signal sent by the router, the CPE device 23 can send the information carried in the WIFI signal to the base station 24 via a mobile access signal.

[0066] The base station 24 can communicate with the UPF device 25. For example, after receiving the mobile access signal sent by the CPE device, the base station 24 can send the information carried in the mobile access signal to the UPF device 25.

[0067] The UPF device 25 can communicate with the edge cloud platform in the cloud network 26. For example, the UPF device 25 diverts the received information to the edge cloud platform with a shorter communication distance.

[0068] The edge cloud platform can communicate with the terminal device 27. For example, the edge cloud platform can send information to the terminal device 27.

[0069] The following are respectively introduced Figure 2 The method executed by each device in the system shown is to implement the technical solution of the present application.

[0070] As an example, the camera device 21 may include a collection module, a coding module and a communication module. The collection module in the camera device 21 collects image information of vehicles on the road. The coding module can compress the image information collected by the collection module into a digital signal. The communication module can send the digital signal encoded by the coding module to the router 22.

[0071] Optionally, the communication module of the camera device can send a digital signal to the router 22 through 5G communication technology.

[0072] Optionally, the acquisition module may acquire images periodically, and the acquisition period may be preset. In some implementations, the acquisition period is fixed, that is, the period of the acquisition module acquiring images is the same in any time period.

[0073] In other implementations, the acquisition cycle of the acquisition module in the camera device is variable. For example, in some periods of the day, the acquisition cycle of the acquisition module is a first value; in other periods of the day, the acquisition cycle of the acquisition module is a second value, and the first value and the second value are different.

[0074] In one example, the collection cycle of the collection module during the morning peak and evening peak periods is different from the collection cycle of the collection module during the midnight period. Specifically, the collection cycle of the collection module during the morning peak and evening peak periods is smaller than the collection cycle of the collection module during the midnight period. This can avoid wasting system resources in scenarios where the road congestion situation does not change much and the demand for road congestion situation is not great.

[0075] For another example, the acquisition cycles of the camera devices deployed on different roads are different, or the acquisition cycles of the acquisition modules in the camera devices on different road sections can be different. In one example, the acquisition cycle of the acquisition module in the camera devices deployed around roads with large changes in traffic volume is shorter than the acquisition cycle of the acquisition module in the camera devices deployed around roads with small changes in traffic volume. This can avoid wasting system resources in scenarios where the road congestion situation does not change much and the demand for road congestion situation is not great.

[0076] As an example, the router 22 can be deployed on a vehicle, can receive the digital signal sent by the camera 21, and send information to the CPE device 23, where the information includes the digital signal and the IP address of the router 22.

[0077] Optionally, the router 22 sends the aforementioned information to the CPE device 23 via wired network technology.

[0078] As another example, the router 22 can be deployed beside the road, capable of receiving the digital signal sent by the camera 21 and sending information to the UPF device 25, where the information includes the digital signal and the IP address of the router 22.

[0079] Optionally, the router 22 sends the aforementioned information to the UPF device 25 via wired network technology.

[0080] As an example, the CPE device 23 receives the aforementioned information from the router 22 and sends the information to the base station 24 via 5G communication technology.

[0081] Optionally, the CPE device 23 can send the above information to the base station 24 through 5G communication technology.

[0082] As an example, the base station 24 receives the aforementioned information from the CPE device 23 and sends the information to the UPF device 25 through the 5G network.

[0083] Optionally, the base station 24 can send the aforementioned information to the UPF device 25 via the 5G network.

[0084] As an example, after receiving the above information from the base station 24, the UPF device 25 can implement the diversion of the digital signal in the information according to the IP address in the information. Specifically, the UPF device 25 diverts the digital signal to the edge cloud platform in the cloud network 26 that is closer (or closest) to the router 22.

[0085] As another example, after receiving the aforementioned information from the router 22, the UPF device 25 can implement the diversion of the digital signal in the information according to the IP address in the information.

[0086] Specifically, the UPF device 25 diverts the digital signal to the edge cloud platform in the cloud network 26 that is closer (or closest) to the router 22. For example, the UPF device 25 learns the IP address of the edge cloud platform, compares the IP address in the received information with the IP address of the edge cloud platform, selects an edge cloud platform from the cloud network 26 whose distance to the IP address in the information meets the preset conditions, and sends the digital signal in the received information to the selected edge cloud platform. The preset conditions may include: the closest distance or the distance is less than or equal to the distance threshold, etc.

[0087] Optionally, the UPF device 25 can divert the digital signal to the edge cloud platform via the 5G network.

[0088] Combine the following Figure 3 ,The road congestion information acquisition method implemented by the edge cloud platform is introduced. Figure 3 A flow chart of a method for obtaining road congestion information executed by an edge cloud platform according to an embodiment of the present application. Figure 3 As shown, the method may include S301, S302 and S303.

[0089] S301. The edge cloud platform receives first information, where the first information includes digital signal information of a road image.

[0090] For example, the edge cloud platform receives the first information sent by the UPF device. As an example, the first information may be information sent to the edge cloud platform through one or more devices including a router, a CPE device, a base station, and a UPF device after the camera device captures the road image.

[0091] Optionally, the edge cloud platform can receive the first information through 5G communication technology.

[0092] S302: The edge cloud platform obtains the road image based on the first information.

[0093] As an example, application software such as decoding and local rendering related to image or video processing can be deployed in the edge cloud platform. At the same time, the edge cloud platform has proprietary hardware such as large-capacity storage, computing, network resource pool and graphics processing unit (GPU) to provide resource support for video processing and realize real-time and fast processing of video and image information.

[0094] As an example, the edge cloud platform can decode the image digital signal information through the GPU to obtain an image, and can also render the decoded image to obtain an image in a target format. An example of the target format is the format of the image captured by the camera, and another example is the image format that can be recognized by the terminal device.

[0095] As an example, the edge cloud platform can also perform image recognition, image segmentation and other processing on the decoded road images to remove image elements in the road images that are not related to vehicles and roads, or to retain image elements in the road images that are related to vehicles and roads. These remaining image elements can represent the traffic flow information on the road to characterize the road congestion situation.

[0096] S303: The edge cloud platform sends the road image.

[0097] As an example, the edge cloud platform sends road images to the terminal device.

[0098] In some implementations, the edge cloud platform sends road images via short messages.

[0099] Further optionally, application software such as 5G short messages may be deployed in the edge cloud platform. Accordingly, the edge cloud platform may send road images via 5G short messages.

[0100] Optionally, the 5G short message can be one or more videos, or one or more pictures. 5G short messages can use the large bandwidth and high speed characteristics of the 5G network to ensure that video images can be clearly and smoothly transmitted to the terminal device.

[0101] The terminal device receives image information from the edge cloud platform and displays the image information.

[0102] Optionally, the terminal device may be an electronic device such as a smart phone, a tablet computer, or a smart watch.

[0103] Optionally, a map APP is deployed on the terminal device. After receiving the image information, the terminal device displays the image information through the user interface of the map APP, thereby outputting the vehicle image information of the road, so that the user can obtain the road congestion situation.

[0104] Optionally, a short message application is deployed on the terminal device. In this case, after receiving the short message carrying the road image, the terminal device can parse the image in the short message and display the image.

[0105] As an example, after a traveling user learns about the road congestion situation, he or she can make a reasonable travel plan or route planning based on the road congestion situation.

[0106] As another example, the traffic control department's command center obtains information about road congestion, and based on the information, formulates vehicle diversion plans and emergency plans for emergencies in real time, carries out traffic command and dispatch, and pushes diversion and guidance information to on-site car owners in real time.

[0107] In the above system, signal transmission between any two devices through 5G communication technology can increase the signal transmission rate, thereby reducing the delay in transmitting road congestion conditions to terminal devices.

[0108] Below Figure 2 Taking the signal transmission between any two devices through 5G communication technology as an example, after testing, if the road is fully covered by 5G signals, the uplink bandwidth of the 5G network reaches 100 megabits per second (Mbps), the downlink bandwidth reaches 1 gigabit per second (Gbps), the round-trip delay of the 5G signal is ≤10 milliseconds (ms), and the data loss rate is ≤0.00001, then when the speed of the vehicle on the road reaches 30 kilometers per hour (km / h), the edge cloud platform transmits the image information to the terminal device through 5G. The delay is <20ms. In other words, the use of the technical solution of this application can greatly reduce the delay for users to obtain road congestion information.

[0109] Figure 4 This is a schematic structural diagram of a device for acquiring road congestion information provided by an embodiment of the present application. Figure 4 The device 400 may include: a receiving module 401, an acquiring module 402 and a sending module 403.

[0110] The device 400 can be used to implement Figure 3 The method in the illustrated embodiment. For example, the receiving module 401 can be used to implement S301, the acquiring module 402 can be used to implement S302, and the sending module 403 can be used to implement S303.

[0111] Figure 5 This is a schematic diagram of the structure of a device for acquiring road congestion information provided by an embodiment of the present application. Figure 5 The device 500 may include: at least one processor 501 and a memory 502. The processor 501 and the memory 502 are connected to each other via a bus 503.

[0112] As an example, the processor 501 is used to execute the program instructions stored in the memory 502, so that at least one processor 501 implements Figure 3 The method in the illustrated embodiment.

[0113] In the above Figure 5 In the illustrated embodiment, it should be understood that the processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), etc. A general-purpose processor may be a microprocessor or any conventional processor, etc. The steps of the method disclosed in the invention may be directly implemented as being executed by a hardware processor, or may be executed by a combination of hardware and software modules in the processor.

[0114] The memory may include a high-speed RAM memory, and may also include a non-volatile storage NVM, such as at least one disk storage.

[0115] The bus may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, the bus in the drawings of the present application is not limited to only one bus or one type of bus.

[0116] An embodiment of the present application provides a computer-readable storage medium, in which computer-executable instructions are stored. When the computer-executable instructions are executed by a processor, they are used to implement the above method.

[0117] The embodiment of the present application may also provide a computer program product, including a computer program, which can implement the above method when executed by a processor.

[0118] The term "module" as used in this specification may be used to refer to a computer-related entity, hardware, firmware, a combination of hardware and software, software, or software in execution.

[0119] The embodiments of the present application are described with reference to the flowcharts and / or block diagrams of the methods, apparatuses, and computer program products according to the embodiments of the present application. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of the processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processing unit of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processing unit of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0120] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0121] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process in the computer or other programmable device. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0122] Obviously, those skilled in the art can make various changes and modifications to the embodiments of the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the embodiments of the present application fall within the scope of the claims of the present application and their equivalents, the present application is also intended to include these modifications and variations.

Claims

1. A method for obtaining road congestion information, characterized in that: include: The edge cloud platform receives first information, wherein the first information includes digital signal information of a road image; The edge cloud platform decodes the first information to obtain a first road image; The edge cloud platform performs image processing on the first road image, removes image elements irrelevant to vehicles and roads in the road image, and obtains a second road image, wherein the second road image only includes image elements capable of representing road congestion information; The image format of the second road image is an image format that can be recognized by the target terminal device; the edge cloud platform sends the second road image to the target terminal device in the form of a short message; The edge cloud platform receives the first information, specifically: The first information sent by the camera is received through a router, and the router is deployed on the vehicle and sends information to the CPE device, wherein the information includes the first information and the IP address of the router; the CPE device sends the information to the base station through 5G communication technology; the base station sends the information to the UPF device through the 5G network; after receiving the information, the UPF device compares the IP address in the received information with the IP address of the edge cloud platform, selects the edge cloud platform from the cloud network whose distance to the IP address in the information meets the preset conditions, and diverts the first information to the edge cloud platform; wherein the preset conditions include: the distance is the shortest or the distance is less than or equal to the distance threshold.

2. The method according to claim 1, characterized in that The edge cloud platform receives first information, including: The edge cloud platform receives the first information through the fifth generation 5G communication technology.

3. The method according to claim 1, characterized in that The edge cloud platform sends the road image in a short message, including: The edge cloud platform sends the road image via 5G short messages.

4. A road congestion information acquisition device, characterized in that: include: A receiving module, configured to receive first information on the edge cloud platform, wherein the first information includes digital signal information of a road image; an acquisition module, configured for the edge cloud platform to decode the first information to obtain a first road image; the edge cloud platform to perform image processing on the first road image, remove image elements irrelevant to vehicles and roads in the road image, and obtain a second road image, wherein the second road image only contains image elements capable of representing road congestion information; The image format of the second road image is an image format that can be recognized by the target terminal device; a sending module is used for the edge cloud platform to send the road image to the target terminal device in the form of a short message; The receiving module is specifically used to receive the first information sent by the camera device through a router. The router is deployed on the vehicle and sends information to the CPE device, and the information includes the first information and the IP address of the router; the CPE device sends the information to the base station through 5G communication technology; the base station sends the information to the UPF device through the 5G network; after receiving the information, the UPF device compares the IP address in the received information with the IP address of the edge cloud platform, selects the edge cloud platform from the cloud network whose distance to the IP address in the information meets the preset conditions, and diverts the first information to the edge cloud platform; wherein the preset conditions include: the shortest distance or the distance is less than or equal to the distance threshold.

5. A road congestion information acquisition device, characterized in that: include: at least one processor and memory; Wherein, the memory stores computer-executable instructions; The at least one processor executes the computer-executable instructions stored in the memory so that the at least one processor can perform the method according to any one of claims 1 to 3.

6. A road congestion information acquisition system, characterized in that: include: A device as claimed in any one of claims 4 or 5.

7. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions, and when a processor executes the computer-executable instructions, the method according to any one of claims 1 to 3 is implemented.

8. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the method according to any one of claims 1 to 3 is implemented.

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