CN114998850A - Road congestion information acquisition method and device - Google Patents
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Abstract
The application provides a road congestion information obtaining method and device. According to the technical scheme, the edge cloud platform in the cloud network receives digital signal information containing a road image through a 5 th generation 5G communication technology, the edge cloud platform acquires the road image based on the received digital signal information of the road image, and the edge cloud platform sends the acquired road image to the terminal device in a 5G short message mode. The edge cloud platform has the characteristics of large bandwidth and low time delay, and the 5G communication technology has the characteristic of high transmission efficiency, so that information can be transmitted quickly, and the time delay of acquiring a road image by the terminal equipment can be reduced.
Description
Technical Field
The application relates to the technical field of intelligent traffic, in particular to a road congestion information acquisition method and device.
Background
The intelligent traffic technology is a technical method for effectively and comprehensively applying advanced information technology, data communication technology, electronic control technology, computer technology and the like to the whole traffic transportation management system, and is the development direction of future traffic systems. At present, an existing road congestion information acquisition method is as follows: the method comprises the following steps that a camera device deployed around a road collects image information of vehicles in the road, and sends the image information to a 4G base station through a 4 th generation communication technology (4G); after receiving the image information, the 4G base station sends the image information to a central cloud platform in a cloud network; after receiving the image information, the central cloud platform acquires vehicle flow information in a road based on the image information, and sends the vehicle flow information to map software (APP for short) in the terminal equipment through a 4G network; after receiving the vehicle flow information, the map APP estimates the road congestion condition according to the vehicle flow information, and identifies the road congestion condition at the corresponding position on the electronic map.
However, the road congestion condition identified by the method often has inaccuracy, for example, the time delay between the road congestion condition identified by the method and the real road congestion condition is too long.
Disclosure of Invention
The application provides a method and a device for acquiring road congestion information, which can reduce the time delay for acquiring the road congestion information.
In a first aspect, the present application provides a method for acquiring road congestion information, including: the method comprises the steps that an edge cloud platform receives first information, wherein the first information comprises digital signal information of a road image; the edge cloud platform acquires the road image based on the first information; and the edge cloud platform sends the road image.
According to the method, an edge cloud platform is used for receiving 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 time delay, the road image can be quickly acquired from the digital signal information of the received road image, and the time delay for acquiring the road congestion information is further reduced.
In one possible embodiment, the edge cloud platform receives first information, including: the edge cloud platform receives the first information through a 5 th generation 5G communication technology.
In the method, because the 5 th generation 5G communication technology has the characteristics of high speed and large bandwidth, the speed of receiving the information can be improved by receiving the first information through the 5G communication technology.
In one possible embodiment, the edge cloud platform sends the road image, including: and the edge cloud platform sends the road image in a short message mode.
In one possible embodiment, the edge cloud platform sends the road image in a short message manner, and includes:
and the edge cloud platform sends the road image in a 5G short message mode.
In the method, the edge cloud platform can deploy the application of the 5G short message, and the 5G short message can be one or more sections of videos and also can be one or more pictures. The 5G short message can ensure that the video image picture can be clearly and smoothly transmitted to the terminal equipment by means of the characteristics of large bandwidth and high speed of a 5G network.
In one possible embodiment, the edge cloud platform acquires the road image based on the first information, and includes:
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, wherein the second road image only contains image elements capable of representing road congestion information, and correspondingly, the edge cloud platform sends the road image, and the method comprises the following steps:
and the edge cloud platform sends the second road image.
In the method, the edge cloud platform can deploy application software related to image processing, and meanwhile, the edge cloud platform has large-capacity data storage and data processing capacity and can provide resource support for image processing, so that the image information can be rapidly processed through the edge cloud platform.
In a possible implementation manner, the image format of the second road image is an image format that can be recognized by a target terminal device, and accordingly, the edge cloud platform sends the second road image, including:
and the edge cloud platform sends the second road image to the target terminal equipment.
According to the method, the edge cloud platform sends the second road image to the terminal equipment, and the format of the second road image is converted into a format which can be identified by the terminal through the edge cloud platform, so that the speed of displaying the second road image on the terminal equipment can be increased.
In a second aspect, the present application provides a road congestion information acquisition apparatus comprising various functional modules for implementing the method in the first aspect. Wherein each functional module can be implemented by software and/or hardware.
As an example, the apparatus may comprise: the receiving module is used for receiving first information by the edge cloud platform, wherein the first information comprises digital signal information of a road image;
the acquisition module is used for acquiring the road image by the edge cloud platform based on the first information;
and the sending module is used for sending the road image by the edge cloud platform.
In a possible implementation, the receiving module is specifically configured to: the edge cloud platform receives the first information through a 5 th generation 5G communication technology.
In a possible implementation manner, the sending module is specifically configured to: and the edge cloud platform sends the road image in a short message mode.
In a possible implementation manner, the sending module is specifically configured to: and the edge cloud platform sends the road image in a 5G short message mode.
In a possible implementation manner, the obtaining module is specifically configured to: the edge cloud platform decodes the first information to obtain a first road image; and the edge cloud platform carries out image processing on the first road image to obtain a second road image, wherein the second road image only contains image elements capable of representing road congestion information.
In a possible implementation manner, the sending module is specifically configured to: and the edge cloud platform sends the second road image.
In one possible implementation, the image format of the second road image is an image format that can be recognized by the target terminal device.
In a possible implementation manner, the sending module is specifically configured to: and the edge cloud platform sends the second road image to the target terminal equipment.
Since the apparatus 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 apparatus in the second aspect, and are not described herein again.
In a third aspect, the present application provides a road congestion information acquiring apparatus, including: at least one processor and a memory.
Wherein the memory stores computer-executable instructions; the at least one processor executes computer-executable instructions stored by the memory to enable the at least one processor to perform the method of any one of the first aspects.
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, and may be, for example, a chip that can be applied to a cloud server or a cloud service system.
Since the apparatus 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 apparatus in the third aspect, and are not described herein again.
In a fourth aspect, the present application provides a system for acquiring road congestion information, the system comprising: the apparatus of any one of the second or third aspects.
In a fifth aspect, the present application provides a computer-readable storage medium having stored thereon computer-executable instructions that, when executed by a processor, implement the method of the first aspect.
In a sixth aspect, the present application provides a computer program product comprising a computer program which, when executed by a processor, implements the method of the first aspect.
Drawings
Fig. 1 is a schematic view of an application scenario provided in an embodiment of the present application;
fig. 2 is an exemplary system architecture diagram for obtaining road congestion information according to an embodiment of the present application;
fig. 3 is a schematic flowchart of a road congestion information obtaining method executed by an edge cloud platform according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of a road congestion information acquisition apparatus according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of a road congestion information acquiring apparatus according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Fig. 1 is a schematic view of an application scenario provided in an embodiment of the present application. As shown in figure 1, adopt camera device to acquire vehicle image information in the road, give the electronic map APP at terminal with vehicle image information transmission to thereby trip personnel learn the road vehicle condition of blocking up through map APP rationally plans the trip route, or so that traffic control department can learn the road vehicle condition of blocking up through map APP and carry out traffic combing.
In the related technology, after the camera device collects road image information, the vehicle image information is transmitted to the 4G base station through the 4G network, then the 4G base station sends the image information to the central cloud platform in the cloud network, then the central cloud platform identifies vehicles in the image information and counts the number of the vehicles so as to determine traffic flow information in the same road in the same time period, and sends the traffic flow information to the map APP.
In the method, the central cloud platform needs to perform centralized processing on the acquired data, so that the delay is large and the efficiency is low, and the traffic flow information can be displayed to a map user in a delayed manner. In addition, the bandwidth and the rate of the 4G network are limited, and the image information transmitted to the central cloud platform is not smooth and the image quality is not clear, so that the traffic flow information acquired by using the method is not accurate. In the embodiment of the present application, the image information of vehicles in the road may also be understood as road congestion information.
In order to solve the problems, the application provides a road congestion information acquisition method. In the technical scheme provided by the application, the image information acquired by the camera device is processed by the edge cloud platform of the cloud network and is sent to the map APP. Compared with the method for processing the image information acquired by the camera device by the central cloud platform to acquire the road traffic flow information, the edge cloud platform has shorter transmission time and can reduce the transmission time of the image information because the deployed position is closer to the camera device deployed on the road compared with the central cloud platform, thereby reducing the time delay of the map APP for acquiring the image information; moreover, each edge cloud platform processes the image information within the range of each edge cloud platform, so that the computing pressure can be reduced, the computing efficiency can be improved, and finally the time delay of obtaining the image information by the map APP is reduced.
In addition, in the technical scheme of the application, the image information is transmitted through a 5G network. Compared with the method for transmitting the image information through the 4G network, the 5G network has larger bandwidth and transmission efficiency, so that the transmission rate of the image information can be improved, and the time delay of the map APP for obtaining the image information can be reduced.
Fig. 2 is an exemplary system architecture diagram for acquiring road congestion information according to an embodiment of the present application. As shown in fig. 2, the system may include a camera 21, a router 22, a Customer premises Equipment 23 (CPE device), a base station 24, a User Plane Function 25 (UPF device), a cloud network 26, and a terminal device 27.
The camera 21 generally has basic functions such as video shooting and still image capturing. After the lens in the camera device 21 collects the image, the image is processed by the photosensitive assembly and the control assembly in the camera device 21 and converted into a digital signal which can be recognized by a computer. The lens for capturing the image may be referred to as a capture module, and the component for converting the image into the digital signal may be referred to as a conversion module.
The image pickup device 21 in the present embodiment may further include a communication module. The imaging device 21 communicates with other apparatuses through the communication module.
The camera device 21 in this embodiment may be disposed on a vehicle, specifically, on a front windshield, around a vehicle body, a trunk, or a vehicle rearview mirror of the vehicle; the system can also be deployed around roads, and particularly can be deployed on road sections with large vehicle flow, such as crossroads. The camera device in the embodiment adopts an industrial design, can resist high temperature and humidity, and can shoot or photograph the road condition and the vehicle in real time.
The router 22 is a network device for connecting a plurality of networks or network segments, and has a data path function and a control function. The data channel function comprises the aspects of data packet filtering, packet forwarding, data summarization and the like; the control function mainly includes information exchange, system configuration, system management and other aspects with the adjacent router.
The router 22 in this embodiment may be deployed on a vehicle, or may be deployed around a road, and specifically may be deployed below the camera or at a position closer to the camera.
The CPE equipment can be called as customer premise equipment, a wired network can be converted into a wireless network, high-speed 4G/5G signals can be converted into wireless network (WIFI) signals, and the number of mobile terminals capable of simultaneously surfing the internet is large. The CPE can be accessed by a wireless network, thereby saving the broadband cost and avoiding the wiring link.
The UPF device 25 is a shunting network element of a user plane, and may include a packet shunting method such as an internet protocol Address (IP) Address quintuple, and the UPF device 25 may shunt information according to the method.
The cloud network 26 includes an edge cloud platform and a center cloud platform, the edge cloud platform may be generally deployed in scenes such as two sides of a road, an enterprise park or a factory production line, and the center cloud platform may be generally deployed in a provincial meeting city with large data demand and many applications. The terminal device 27 may have a map APP deployed thereon.
The camera 21 may communicate with the router 22, and the image information may be transmitted to the router 22 through the camera 21.
The camera 21 and the router 22 may be deployed on the vehicle at the same time; can also be deployed beside the road at the same time; or may be deployed one on a vehicle and the other on a road.
When the camera 21 and the router 22 are disposed on the vehicle or disposed beside the road at the same time, the camera 21 and the router 22 may communicate with each other in a wired manner or in a wireless manner.
When the camera 21 and the router 22 are separately disposed, for example, when the camera 21 is disposed on a roadside and the router 22 is disposed on a vehicle, or when the camera 21 is disposed on a vehicle and the router 22 is disposed on a roadside, communication between the camera 21 and the router 22 is generally performed by wireless.
The CPE device 23 may be deployed on a vehicle. The router 22 may send information to the CPE device 23 through a WIFI signal, and the CPE device 23 may receive the information by receiving the WIFI signal.
CPE device 23 may communicate with base station 24. After receiving the WIFI signal sent by the router, the CPE device 23 may send information carried in the WIFI signal to the base station 24 through the mobile access signal.
The base station 24 may communicate with a UPF device 25. For example, after receiving the mobile access signal sent by the CPE device, the base station 24 may send the information carried in the mobile access signal to the UPF device 25.
The UPF device 25 may communicate with an edge cloud platform in the cloud network 26. For example, the UPF device 25 shunts the received information to an edge cloud platform with a short communication distance.
The edge cloud platform may communicate with the terminal device 27. For example, the edge cloud platform may send information to the terminal device 27.
The method performed by each device in the system shown in fig. 2 to implement the technical solution of the present application is described below.
As an example, the camera 21 may include an acquisition module, a coding module, and a communication module. The acquisition module in the camera 21 acquires image information of vehicles in the road. The encoding module may compress the image information acquired by the acquisition module into a digital signal. The communication module may send the router 22 a digital signal encoded by the encoding module.
Alternatively, the communication module of the image pickup apparatus may transmit the digital signal to the router 22 by the 5G communication technology.
Alternatively, the acquisition module may acquire the image periodically, and the acquisition period may be preset. In some implementations, the acquisition period is fixed, i.e., the period during which the acquisition module acquires the images is the same at any time period.
In other implementations, the acquisition period of the acquisition module in the camera device is variable. For example, during some times of the day, the acquisition cycle of the acquisition module is a first value; in other times of the day, the acquisition cycle of the acquisition module is a second value, and the first value and the second value are different.
In one example, the acquisition cycles of the acquisition modules at the early peak and late peak times are different than the acquisition cycles of the acquisition modules at the midnight time. In particular, the acquisition periods of the acquisition modules at the early and late peak times are less than the acquisition periods of the acquisition modules at the midnight time. Therefore, the system resource waste caused by the situations that the road congestion condition is not changed greatly and the demand for the road congestion condition is not high can be avoided.
For another example, the acquisition periods of the camera devices deployed on different roads are different, or the acquisition periods of the acquisition modules in the camera devices on different road sections may be different. In one example, the acquisition period of the acquisition module in the camera device disposed around the road where the traffic flow change is large is smaller than the acquisition period of the acquisition module in the camera device disposed around the road where the traffic flow change is small. Therefore, the system resource waste in scenes with little change of road congestion and little demand on the road congestion can be avoided.
As an example, the router 22 may be deployed in a vehicle, and may be capable of receiving a digital signal transmitted from the camera 21 and transmitting information including the digital signal and an IP address of the router 22 to the CPE device 23.
Alternatively, the router 22 sends the aforementioned information to the CPE device 23 via wired network technology.
As another example, the router 22 may be disposed beside a road, and may be capable of receiving a digital signal transmitted from the camera 21 and transmitting information including the digital signal and an IP address of the router 22 to the UPF device 25.
Alternatively, the router 22 sends the aforementioned information to the UPF device 25 via wired network technology.
As an example, CPE device 23 receives the aforementioned information from router 22, and transmits the information to base station 24 via a 5G communication technique.
Alternatively, the CPE device 23 may transmit the aforementioned information to the base station 24 through a 5G communication technique.
As an example, the base station 24 receives the aforementioned information from the CPE device 23 and transmits the information to the UPF device 25 over the 5G network.
Alternatively, the base station 24 may transmit the aforementioned information to the UPF device 25 through a 5G network.
As an example, after receiving the foregoing information from the base station 24, the UPF device 25 may implement splitting of the digital signals in the information according to the IP address in the information. Specifically, the UPF device 25 shunts the digital signal to an edge cloud platform in the cloud network 26 that is closer (or closest) to the router 22.
As another example, after receiving the foregoing information from the router 22, the UPF device 25 may implement splitting of the digital signals in the information according to the IP address in the information.
Specifically, the UPF device 25 shunts the digital signal to an 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 from the IP address in the information satisfies a preset condition, and sends the digital signal in the received information to the selected edge cloud platform. Wherein, the preset condition may include: distance nearest or distance less than or equal to a distance threshold, and so on.
Optionally, the UPF device 25 may shunt the digital signal to the edge cloud platform through the 5G network.
With reference to fig. 3, a method for acquiring road congestion information performed by the edge cloud platform is described below. Fig. 3 is a schematic flowchart of a road congestion information obtaining method executed by an edge cloud platform according to an embodiment of the present application. As shown in fig. 3, the method may include S301, S302, and S303.
S301, the edge cloud platform receives first information, and the first information comprises digital signal information of a road image.
For example, the edge cloud platform receives first information sent by the UPF device. As an example, the first information may be information that is sent to the edge cloud platform through one or more of a router, a CPE device, a base station, and a UPF device after the road image is captured by the camera.
Optionally, the edge cloud platform may receive the first information through a 5G communication technology.
S302, the edge cloud platform obtains the road image based on the first information.
As an example, the edge cloud platform may deploy decoding and local rendering application software related to image or video Processing, and meanwhile, the edge cloud platform has dedicated hardware such as a large-capacity storage, a computing, a network resource pool, and a Graphics Processing Unit (GPU), which provides resource support for video Processing and implements real-time and rapid Processing of video and picture information.
As an example, the edge cloud platform may decode the image digital signal information by using the GPU to obtain an image, and may further perform rendering processing on the decoded image to obtain an image in a target format. One example of the target format is a format of an image acquired by a camera, and another example is an image format which can be recognized by a terminal device.
By way of example, the edge cloud platform may further perform image recognition, image segmentation, and other processing on the decoded road image to remove image elements in the road image that are not related to the vehicle and the road, or leave image elements in the road image that are related to the vehicle and the road, where these left image elements can represent traffic flow information in the road to represent the road congestion condition.
And S303, the edge cloud platform sends the road image.
As an example, the edge cloud platform sends a road image to the terminal device.
In some implementations, the edge cloud platform sends the road image in a short message manner.
Further optionally, application software such as 5G short messages may be deployed in the edge cloud platform. Accordingly, the edge cloud platform may send the road image in a 5G short message manner.
Optionally, the 5G short message may be one or more pieces of video, and may also be one or more pictures. The 5G short message can ensure that the video image picture can be clearly and smoothly transmitted to the terminal equipment by means of the characteristics of large bandwidth and high speed of a 5G network.
And the terminal equipment receives the image information from the edge cloud platform and displays the image information.
Optionally, the terminal device may be an electronic device such as a smart phone, a tablet computer, or a smart watch.
Optionally, a map APP is deployed on the terminal device. After the terminal equipment receives the image information, the image information is displayed through a user interface of the map APP, so that vehicle image information of a road is output, and a user can conveniently know the road congestion condition.
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 may parse the image in the short message and display the image.
As an example, after learning the road congestion condition, the traveling user may make a rational traveling plan or a route plan based on the road congestion condition.
As another example, the traffic control department command center obtains road congestion information, makes a vehicle diversion scheme and an emergency scheme of an emergency in real time according to the information, carries out traffic command and dispatch, and pushes diversion dredging information to a field vehicle owner in real time.
In the system, any two devices can transmit signals through the 5G communication technology, so that the transmission rate of the signals can be increased, and the time delay of transmitting the road congestion condition to the terminal device is reduced.
Taking the example of signal transmission between any two devices in fig. 2 by using 5G communication technology as an example, through tests, if a road realizes 5G signal full coverage, the uplink bandwidth of a 5G network reaches 100 megabits per second (Mbps), the downlink bandwidth reaches 1 giga per second (Gbps), the round-trip delay of a 5G signal is less than or equal to 10 milliseconds (ms), and the data loss rate is less than or equal to 0.00001, the technical scheme of the application is used when the speed of a vehicle running on the road reaches 30 kilometers per hour (km/h), and the delay of transmitting image information to a terminal device by the edge cloud platform through 5G is less than 20 ms. That is to say, by using the technical scheme of the application, the time delay of the user for acquiring the road congestion information can be greatly reduced.
Fig. 4 is a schematic structural diagram of a road congestion information acquisition apparatus according to an embodiment of the present application. Referring to fig. 4, the apparatus 400 may include: a receiving module 401, an obtaining module 402 and a sending module 403.
The apparatus 400 may be used to implement the method in the embodiment shown in fig. 3. For example, the receiving module 401 may be configured to implement S301, the obtaining module 402 may be configured to implement S302, and the sending module 403 may be configured to implement S303.
Fig. 5 is a schematic structural diagram of a road congestion information acquiring apparatus according to an embodiment of the present application. Referring to fig. 5, the apparatus 500 may include: at least one processor 501 and memory 502. The processor 501 and the memory 502 are connected to each other via a bus 503.
As an example, the processor 501 is configured to execute program instructions stored in the memory 502, so that at least one processor 501 implements the method in the embodiment shown in fig. 3.
In the embodiment shown in fig. 5, it should be understood that the Processor may be a Central Processing Unit (CPU), other general purpose processors, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of a method disclosed in connection with the present invention may be embodied directly in a hardware processor, or in a combination of the hardware and software modules within the processor.
The memory may comprise high speed RAM memory and may also include non-volatile storage NVM, such as at least one disk memory.
The bus may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, an Extended ISA (EISA) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, the buses in the figures of the present application are not limited to only one bus or one type of bus.
The embodiment of the application provides a computer-readable storage medium, in which computer-executable instructions are stored, and when the computer-executable instructions are executed by a processor, the computer-readable storage medium is used for implementing the above method.
Embodiments of the present application may also provide a computer program product comprising a computer program which, when executed by a processor, can implement the above method.
The term module, as used in this specification, may be used to refer to a computer-related entity, either hardware, firmware, a combination of hardware and software, or software in execution.
Embodiments of the present application are described with reference to flowchart illustrations and/or block diagrams of methods, apparatus, and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processing unit of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processing unit of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It will be apparent to those skilled in the art that various changes and modifications may be made in the embodiments of the present application without departing from the spirit and scope of the application. Thus, if such 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 encompass such modifications and variations.
Claims (10)
1. A road congestion information acquisition method is characterized by comprising the following steps:
the method comprises the steps that an edge cloud platform receives first information, wherein the first information comprises digital signal information of a road image;
the edge cloud platform acquires the road image based on the first information;
and the edge cloud platform sends the road image.
2. The method of claim 1, wherein the edge cloud platform receives first information comprising:
the edge cloud platform receives the first information through a 5 th generation 5G communication technology.
3. The method of claim 1 or 2, wherein the edge cloud platform sends the road image, comprising:
and the edge cloud platform sends the road image in a short message mode.
4. The method of claim 3, wherein the edge cloud platform sends the road image in a short message comprising:
and the edge cloud platform sends the road image in a 5G short message mode.
5. The method of any of claims 1 to 4, wherein the edge cloud platform obtains the road image based on the first information, comprising:
the edge cloud platform decodes the first information to obtain a first road image;
the edge cloud platform carries out image processing on the first road image to obtain a second road image, wherein the second road image only comprises image elements capable of representing road congestion information;
accordingly, the edge cloud platform sends the road image, including:
and the edge cloud platform sends the second road image.
6. The method according to claim 5, wherein the image format of the second road image is an image format that can be recognized by a target terminal device;
accordingly, the edge cloud platform sends the second road image, including:
and the edge cloud platform sends the second road image to the target terminal equipment.
7. A road congestion information acquisition apparatus, characterized by comprising:
the receiving module is used for receiving first information by the edge cloud platform, wherein the first information comprises digital signal information of a road image;
the acquisition module is used for acquiring the road image by the edge cloud platform based on the first information;
and the sending module is used for sending the road image by the edge cloud platform.
8. A road congestion information acquisition apparatus, characterized by comprising: at least one processor and memory;
wherein the memory stores computer-executable instructions;
the at least one processor executes computer-executable instructions stored by the memory to enable the at least one processor to perform the method of any of claims 1-6.
9. A road congestion information acquisition system, characterized by comprising: the device of any one of claims 7 or 8.
10. A computer-readable storage medium having computer-executable instructions stored thereon which, when executed by a processor, implement the method of any one of claims 1 to 6.
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