Highway visibility real-time monitoring method and system

Abstract

The application provides a highway visibility real-time monitoring method and system, the method comprising: collecting the visibility data of the corresponding target section of the highway in real time to generate the current visibility identification result of the target section of the highway; judging whether the visibility identification result meets the preset visibility condition, if not, identifying each vehicle currently driving in the target section of the highway as a secondary identification vehicle; performing license plate recognition on the secondary identification vehicle to obtain the corresponding license plate recognition result, and judging whether to send a visibility risk prompt message to the vehicle-mounted equipment of the secondary identification vehicle based on the preset cloud service based on the license plate recognition result. The application can realize all-weather visibility real-time monitoring and visibility risk early warning for the highway, thereby improving the safety of vehicles driving on the highway and greatly improving the operation and safety management level of the highway under adverse weather conditions.

Description

Technical Field

[0001] This application relates to the field of road traffic management technology, and in particular to a method and system for real-time monitoring of visibility on highways. Background Technology

[0002] A highway is a road specifically designed for high-speed automobile travel. Highways are multi-lane roads with separate lanes for each direction of traffic and fully controlled access. The development of automotive technology has created objective requirements for highway construction. Automobiles have become an important means of transportation in human society, and highway infrastructure can support the two major development trends of lighter and heavier vehicles, while simultaneously meeting the demands of high-speed passenger vehicles and heavy-duty freight vehicles. The rapid development of the automotive industry and urbanization have brought development opportunities to highway companies. In areas with limited railway transport capacity and poor access routes, highways play a vital transportation role. Improving vehicle safety on highways is currently one of the important research topics.

[0003] Currently, severe weather is a significant factor affecting highway operational safety. Existing methods for monitoring highway visibility typically rely on weather forecasts from in-vehicle weather monitoring equipment. However, this approach is not suitable for comprehensive highway management and cannot facilitate advance traffic control, further compromising vehicle safety. Furthermore, low visibility also affects the accuracy and real-time performance of vehicle positioning devices, further impacting driving safety. Summary of the Invention

[0004] In view of this, embodiments of this application provide a method and system for real-time monitoring of visibility on highways to eliminate or improve one or more defects existing in the prior art.

[0005] One aspect of this application provides a method for real-time monitoring of visibility on highways, comprising:

[0006] Real-time collection of visibility data for the corresponding highway target segment to generate the current visibility recognition result for the highway target segment;

[0007] Determine whether the visibility recognition result meets the preset visibility conditions. If not, then identify each vehicle currently traveling in the target section of the highway as a secondary recognition vehicle.

[0008] The license plate of the secondary identification vehicle is recognized to obtain the corresponding license plate recognition result. Based on the license plate recognition result, it is determined whether to send a visibility risk warning message to the vehicle-mounted device of the secondary identification vehicle based on a preset cloud service.

[0009] In some embodiments of this application, it also includes:

[0010] If the visibility recognition result meets the preset visibility conditions, then each vehicle currently traveling in the target section of the highway is determined to be an ETC normally recognized vehicle, so that highway network toll collection can be carried out on the ETC normally recognized vehicle.

[0011] In some embodiments of this application, the step of performing license plate recognition on the secondary recognition vehicle to obtain the corresponding license plate recognition result, and determining whether to send a visibility risk warning message to the vehicle-mounted device of the secondary recognition vehicle based on the license plate recognition result, includes:

[0012] Extract vehicle image data of each of the secondary-identified vehicles currently traveling within the target section of the highway from the collected highway image data;

[0013] The vehicle image data of the secondary identification vehicle is used to identify the license plate number, and it is determined whether the license plate number identification result corresponding to the secondary identification vehicle is complete. If not, the on-board equipment information of the secondary identification vehicle collected by the ETC gantry corresponding to the target section of the highway is obtained.

[0014] Further determine whether the similarity between the license plate number recognition result of the secondary recognition vehicle and the pre-stored license plate information recorded in the vehicle-mounted device information is greater than or equal to a preset percentage threshold. If not, send a visibility risk warning message to the vehicle-mounted device of the secondary recognition vehicle based on a preset cloud service.

[0015] In some embodiments of this application, it also includes:

[0016] If it is determined that the license plate number of the vehicle identified by the secondary identification is complete, then the vehicle identified by the secondary identification is identified as a normal ETC identification vehicle, and highway network toll collection is carried out on the normal ETC identification vehicle.

[0017] If it is determined that the similarity between the license plate number recognition result of the secondary recognition vehicle and the pre-stored license plate information recorded in the vehicle-mounted device is equal to or greater than a preset percentage threshold, then the secondary recognition vehicle is identified as a normal ETC recognition vehicle, and highway network toll collection is carried out on the normal ETC recognition vehicle.

[0018] In some embodiments of this application, the real-time acquisition of visibility data of the corresponding highway target segment to generate the current visibility recognition result of the highway target segment includes:

[0019] Based on the visibility detection sensors used for collecting fog, haze, rain and snow, dust and smoke respectively, the visibility data of the target section of the highway is collected in real time.

[0020] Generate visibility recognition results containing visibility data of fog, haze, rain and snow, dust storms, and dense smoke for the target section of the highway.

[0021] In some embodiments of this application, it also includes:

[0022] The visibility risk warning message is sent to a preset broadcasting device via a preset cloud service to broadcast the visibility risk warning message.

[0023] Another aspect of this application provides a real-time visibility monitoring system for highways, comprising:

[0024] The visibility recognition module is used to collect visibility data of its corresponding highway target segment in real time to generate the current visibility recognition result of the highway target segment.

[0025] The judgment module is used to determine whether the visibility recognition result meets the preset visibility conditions. If not, each vehicle currently traveling in the target section of the highway is identified as a secondary recognition vehicle.

[0026] The cloud service and early warning module is used to perform license plate recognition on the secondary recognition vehicle, obtain the corresponding license plate recognition result, and determine whether to send a visibility risk warning message to the vehicle-mounted device of the secondary recognition vehicle based on the license plate recognition result and a preset cloud service.

[0027] In some embodiments of this application, the visibility warning module is further configured to determine each vehicle currently traveling in the target section of the highway as an ETC normally identified vehicle if the visibility recognition result is determined to meet the preset visibility conditions, so as to perform highway network toll collection on the ETC normally identified vehicle.

[0028] A third aspect of this application provides an electronic device including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the aforementioned real-time highway visibility monitoring method.

[0029] A fourth aspect of this application provides a computer-readable storage medium having a computer program stored thereon that, when executed by a processor, implements the aforementioned method for real-time monitoring of highway visibility.

[0030] The real-time visibility monitoring method for highways provided in this application collects visibility data of the corresponding highway target segment in real time to generate the current visibility identification result of the highway target segment; determines whether the visibility identification result meets the preset visibility conditions; if not, identifies each vehicle currently traveling in the highway target segment as a secondary identification vehicle; performs license plate recognition on the secondary identification vehicle to obtain the corresponding license plate recognition result; and determines whether to send a visibility risk warning message to the vehicle-mounted device of the secondary identification vehicle based on the license plate recognition result and a preset cloud service. This method can make full use of existing highway equipment resources for real-time visibility monitoring, enabling all-weather real-time visibility monitoring and visibility risk warning for highways, thereby improving the safety of vehicles traveling on highways and significantly enhancing the operation and safety management level of highways under adverse weather conditions. It can also improve the operational reliability and accuracy of the highway network toll collection system.

[0031] Additional advantages, objectives, and features of this application will be set forth in part in the description which follows, and will in part become apparent to those skilled in the art upon review of the following description, or may be learned by practice of the application. The objectives and other advantages of this application can be realized and obtained by means of the structures specifically pointed out in the specification and drawings.

[0032] Those skilled in the art will understand that the purposes and advantages that can be achieved with this application are not limited to those specifically described above, and that the above and other purposes that this application can achieve will be more clearly understood from the following detailed description. Attached Figure Description

[0033] The accompanying drawings, which are included to provide a further understanding of this application and form part of this application, do not constitute a limitation thereof. The components in the drawings are not drawn to scale but are merely for illustrating the principles of this application. For ease of illustration and description of certain parts of this application, corresponding portions in the drawings may be enlarged, i.e., may appear larger relative to other components in an exemplary system actually manufactured according to this application. In the drawings:

[0034] Figure 1 This is a schematic diagram of the first process of a real-time visibility monitoring method for highways according to an embodiment of this application.

[0035] Figure 2 This is a schematic diagram of a second process for a real-time visibility monitoring method on highways according to an embodiment of this application.

[0036] Figure 3 This is a schematic diagram of the structure of a real-time visibility monitoring system for highways according to one embodiment of this application. Detailed Implementation

[0037] To make the objectives, technical solutions, and advantages of this application clearer, the application will be further described in detail below with reference to the embodiments and accompanying drawings. Here, the illustrative embodiments and their descriptions are used to explain this application, but are not intended to limit it.

[0038] It should also be noted that, in order to avoid obscuring this application with unnecessary details, only the structures and / or processing steps closely related to the scheme according to this application are shown in the accompanying drawings, while other details that are not closely related to this application are omitted.

[0039] It should be emphasized that the term "including / comprises" as used herein refers to the presence of a feature, element, step, or component, but does not exclude the presence or addition of one or more other features, elements, steps, or components.

[0040] It should also be noted that, unless otherwise specified, the term "connection" in this article can refer not only to a direct connection, but also to an indirect connection involving an intermediary.

[0041] In the following description, embodiments of the present application will be illustrated with reference to the accompanying drawings. In the drawings, the same reference numerals represent the same or similar parts, or the same or similar steps.

[0042] To fully utilize existing highway equipment resources for real-time visibility monitoring and thereby improve vehicle safety on highways, this application provides a highway real-time visibility monitoring method, a highway real-time visibility monitoring system for executing the method, physical equipment, and a computer-readable storage medium. The system mainly comprises three parts: image acquisition, visibility algorithm scheduling and AI calculation, and early warning broadcasting. Image acquisition relies on road surveillance cameras; the AI ​​calculation unit is responsible for accessing camera images and calculating visibility values. For vehicles with unclear license plate numbers, license plate verification is performed using ETC gantry data; the early warning platform receives raw data from the AI ​​calculation unit, performs in-depth analysis, and then provides early warnings to users.

[0043] The following examples will provide a detailed description.

[0044] Based on this, this application provides a method for real-time visibility monitoring on highways, which can be implemented by a real-time visibility monitoring system for highways. Specifically, the station-level data monitoring system for highway toll stations can be implemented as an electronic device. (See [link to relevant documentation]). Figure 1 The method for real-time monitoring of visibility on highways specifically includes the following:

[0045] Step 100: Collect visibility data of the corresponding highway target segment in real time to generate the current visibility recognition result of the highway target segment.

[0046] In one or more embodiments of this application, existing highway monitoring methods (image acquisition) and ETC gantries are used for climate monitoring and early warning. That is, existing highway image acquisition equipment is used to collect visibility data of the corresponding highway target section in real time to generate the current visibility recognition result of the highway target section.

[0047] Step 200: Determine whether the visibility recognition result meets the preset visibility conditions. If not, proceed to step 300.

[0048] In step 200, the visibility condition can specifically be a preset visibility threshold.

[0049] Step 300: Identify each vehicle currently traveling within the target section of the highway as a secondary identification vehicle.

[0050] Step 400: Perform license plate recognition on the secondary recognition vehicle to obtain the corresponding license plate recognition result, and determine whether to send a visibility risk warning message to the vehicle-mounted device of the secondary recognition vehicle based on the license plate recognition result and a preset cloud service.

[0051] Understandably, the cameras along the route have already implemented unified video streaming through the monitoring platform. The platform can periodically send the camera footage to the AI ​​computing unit server of the fog warning system in the computer room via the local area network. The AI ​​computing unit obtains the monitoring video and ETC gantry source data to complete the relevant calculations. The results are sent to the warning platform for further analysis and processing. All users, including staff from the three parties involved, can log in to the platform on their PCs via an internet browser.

[0052] As can be seen from the above description, the real-time visibility monitoring method for highways provided in this application can make full use of existing highway equipment resources for real-time visibility monitoring, and can achieve all-weather real-time visibility monitoring and visibility risk warning for highways, thereby improving the safety of vehicles traveling on highways and significantly enhancing the operation and safety management level of highways under adverse weather conditions.

[0053] To further improve the effectiveness and reliability of real-time visibility monitoring on highways, a method for real-time visibility monitoring on highways is provided in this application embodiment, see [link to relevant documentation]. Figure 2 The method for real-time monitoring of visibility on highways, after step 200, further includes the following:

[0054] If the visibility recognition result obtained in step 200 meets the preset visibility conditions, then step 500 is executed.

[0055] Step 500: Determine each vehicle currently traveling within the target section of the highway as an ETC-identified vehicle, and then perform highway network toll collection on the ETC-identified vehicle.

[0056] It is understood that toll collection for ETC-identified vehicles on highways refers to collecting data transmitted by the on-board unit in the ETC-identified vehicle through the ETC gantry and sending the data to the highway toll collection system for deducting fees from the ETC-identified vehicle.

[0057] To further improve the effectiveness and reliability of real-time visibility monitoring on highways, a method for real-time visibility monitoring on highways is provided in this application embodiment, see [link to relevant documentation]. Figure 2 Step 400 in the real-time visibility monitoring method for highways specifically includes the following:

[0058] Step 410: Extract vehicle image data of each of the secondary-identified vehicles currently traveling within the target section of the highway from the collected highway image data.

[0059] Step 420: Perform license plate number recognition on the vehicle image data of the secondary recognition vehicle, and determine whether the license plate number recognition result corresponding to the secondary recognition vehicle is complete. If not, proceed to step 430.

[0060] In step 420, the specific way to determine whether the license plate number recognition result corresponding to the secondary recognition vehicle is complete can be to determine whether the codes in the license plate number recognition result corresponding to the license plate number recognition meet the preset number and whether each code can be completely recognized.

[0061] Step 430: Obtain the on-board equipment information of the secondary identification vehicle collected by the ETC gantry corresponding to the target section of the highway.

[0062] Step 440: Further determine whether the similarity between the license plate number recognition result of the secondary recognition vehicle and the pre-stored license plate information recorded in the vehicle equipment information is greater than or equal to a preset percentage threshold. If not, proceed to step 450.

[0063] In step 440, the similarity between the license plate number recognition result of the secondary recognition vehicle and the pre-stored license plate information recorded in the vehicle equipment information is calculated based on a preset similarity algorithm. Then, it is determined whether the value of the similarity is greater than or equal to a preset percentage threshold. The preset percentage threshold can be set according to the actual situation, for example, it can be set to between 90% and 100%.

[0064] Step 450: Send a visibility risk warning message to the vehicle-mounted equipment of the secondary identification vehicle based on the preset cloud service.

[0065] To further improve the effectiveness and reliability of real-time visibility monitoring on highways, a method for real-time visibility monitoring on highways is provided in this application embodiment, see [link to relevant documentation]. Figure 2 Step 400 of the real-time visibility monitoring method for highways further includes the following:

[0066] If step 420 determines that the license plate number recognition result of the secondary recognition vehicle is complete, then step 460 is executed.

[0067] Step 460: Identify the secondary identification vehicle as an ETC normal identification vehicle, and perform highway network toll collection on the ETC normal identification vehicle;

[0068] If, after step 440, it is determined that the similarity between the license plate number recognition result of the secondary recognition vehicle and the pre-stored license plate information recorded in the vehicle equipment information is equal to or greater than a preset percentage threshold, then step 460 is executed.

[0069] Step 460: Identify the secondary identification vehicle as a normally identified ETC vehicle, and then conduct highway network toll collection on the normally identified ETC vehicle.

[0070] To further improve the effectiveness and reliability of real-time visibility monitoring on highways, a method for real-time visibility monitoring on highways is provided in this application embodiment, see [link to relevant documentation]. Figure 2 Step 100 in the real-time visibility monitoring method for highways specifically includes the following:

[0071] Step 110: Based on the visibility detection sensors used for collecting fog, haze, rain and snow, dust and smoke respectively, collect real-time visibility data of the target section of the highway for fog, haze, rain and snow, dust and smoke.

[0072] The visibility detection sensor can be an image acquisition device and / or an existing monitoring device on the ETC gantry, or it can be various sensors installed separately on the ETC gantry, depending on the actual situation.

[0073] Step 120: Generate visibility recognition results containing visibility data of fog, haze, rain and snow, dust, and smoke for the target section of the highway.

[0074] To further improve the effectiveness and reliability of real-time visibility monitoring on highways, a method for real-time visibility monitoring on highways is provided in this application embodiment, see [link to relevant documentation]. Figure 2 The method for real-time monitoring of visibility on highways, after step 450, further includes the following:

[0075] Step 600: Send the visibility risk warning message to a preset broadcasting device via a preset cloud service to broadcast the visibility risk warning message.

[0076] In summary, the real-time visibility monitoring method for highways provided in this application can make full use of existing highway video surveillance information resources and ETC gantries to achieve all-weather real-time visibility monitoring and real-time monitoring and early warning of low visibility events such as fog, haze, rain, snow, dust, and dense smoke. It can analyze the low visibility situation of highways and significantly improve the operation and safety management level of highways under severe weather conditions through multiple early warning information dissemination channels.

[0077] From a software perspective, this application also provides a highway real-time visibility monitoring system for performing all or part of the aforementioned highway real-time visibility monitoring method, see [link to relevant documentation]. Figure 3 The real-time visibility monitoring system for highways specifically includes the following components:

[0078] The visibility recognition module 10 is used to collect visibility data of its corresponding highway target section in real time to generate the current visibility recognition result of the highway target section.

[0079] The judgment module 20 is used to determine whether the visibility recognition result meets the preset visibility conditions. If not, each vehicle currently traveling in the target section of the highway is identified as a secondary recognition vehicle.

[0080] The cloud service and early warning module 30 is used to perform license plate recognition on the secondary recognition vehicle, obtain the corresponding license plate recognition result, and determine whether to send a visibility risk warning message to the vehicle-mounted device of the secondary recognition vehicle based on the license plate recognition result.

[0081] The visibility warning module 10 is further configured to determine each vehicle currently traveling in the target section of the highway as an ETC normally identified vehicle if the visibility recognition result meets the preset visibility conditions, so as to carry out highway network toll collection for the ETC normally identified vehicle.

[0082] The embodiments of the real-time visibility monitoring system for highways provided in this application can be used to execute the processing flow of the embodiments of the real-time visibility monitoring method for highways described above. Its functions will not be repeated here, but can be referred to the detailed description of the embodiments of the real-time visibility monitoring method for highways described above.

[0083] The portion of the highway visibility real-time monitoring system that performs the real-time monitoring of highway visibility can be completed in the client device. The specific implementation can be chosen based on the processing capabilities of the client device and the limitations of the user's usage scenario. This application does not impose any limitations on this. If all operations are completed in the client device, the client device may further include a processor for the specific processing of highway visibility real-time monitoring.

[0084] The aforementioned client device may have a communication module (i.e., a communication unit) that can communicate with a remote server to achieve data transmission. The server may include a server on the task scheduling center side; in other implementation scenarios, it may also include a server on an intermediate platform, such as a server on a third-party server platform that has a communication link with the task scheduling center server. The server may include a single computer device, a server cluster consisting of multiple servers, or a distributed system server structure.

[0085] The server and the client device can communicate using any suitable network protocol, including those not yet developed as of the date of this application. Such network protocols may include, for example, TCP / IP, UDP / IP, HTTP, HTTPS, etc. Furthermore, such network protocols may also include RPC (Remote Procedure Call Protocol) and REST (Representational State Transfer Protocol) protocols used on top of the aforementioned protocols.

[0086] As can be seen from the above description, the real-time visibility monitoring system for highways provided in this application embodiment can make full use of existing highway equipment resources for real-time visibility monitoring, and can achieve all-weather real-time visibility monitoring and visibility risk warning for highways, thereby improving the safety of vehicles traveling on highways and significantly enhancing the operation and safety management level of highways under adverse weather conditions.

[0087] In a specific example of a real-time visibility monitoring system for highways, the system primarily provides core algorithm and data processing support, while also offering auxiliary tools for tiered management. It provides timely and scientific decision-making support and directly supports the tiered management decision-making process. This system comprises a core system and two auxiliary systems operating collaboratively. The "Real-time Visibility Broadcasting and Intelligent Fog Warning System for Highways" (hereinafter referred to as the "Visibility Warning System") provides core algorithm and data processing support. The auxiliary systems include the "Multimedia Cloud Service System for Road Condition Hazards" and the "Intelligent Warning and Guidance System for Fog Areas" (hereinafter referred to as the "Cloud Service System" and the "Fog Area Warning System," respectively), providing information push and dissemination support for the warning system. The Intelligent Visibility Warning System consists of an AI haze monitoring unit, an AI visibility analysis unit, and a real-time visibility broadcasting and intelligent fog warning platform for highways.

[0088] The highway visibility real-time monitoring system may include an AI haze monitoring unit, an AI fog and other visibility analysis unit, a visibility data fitting module for roads in monitoring blind spots, a graded control road section early warning and auxiliary decision-making module, and a low visibility real-time broadcast and fog intelligent early warning platform.

[0089] This application also provides an electronic device, which may include a processor, a memory, a receiver, and a transmitter. The processor is used to execute the real-time visibility monitoring method for highways mentioned in the above embodiments. The processor and memory can be connected via a bus or other means, taking a bus connection as an example. The receiver can be connected to the processor and memory via wired or wireless means.

[0090] The processor can be a central processing unit (CPU). The processor can also be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or combinations of the above types of chips.

[0091] Memory, as a non-transitory computer-readable storage medium, can be used to store non-transitory software programs, non-transitory computer-executable programs, and modules, such as the program instructions / modules corresponding to the real-time visibility monitoring method for highways in the embodiments of this application. The processor executes various functional applications and data processing by running the non-transitory software programs, instructions, and modules stored in the memory, thereby implementing the real-time visibility monitoring method for highways in the above method embodiments.

[0092] The memory may include a program storage area and a data storage area. The program storage area may store the operating system and applications required for at least one function; the data storage area may store data created by the processor, etc. Furthermore, the memory may include high-speed random access memory and non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid-state storage device. In some embodiments, the memory may optionally include memory remotely located relative to the processor, which can be connected to the processor via a network. Examples of such networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.

[0093] The one or more modules are stored in the memory, and when executed by the processor, the real-time visibility monitoring method for highways in the embodiment is executed.

[0094] In some embodiments of this application, the user equipment may include a processor, a memory, and a transceiver unit. The transceiver unit may include a receiver and a transmitter. The processor, memory, receiver, and transmitter may be connected via a bus system. The memory is used to store computer instructions, and the processor is used to execute the computer instructions stored in the memory to control the transceiver unit to send and receive signals.

[0095] As one implementation method, the functions of the receiver and transmitter in this application can be implemented by transceiver circuits or dedicated transceiver chips, and the processor can be implemented by dedicated processing chips, processing circuits or general-purpose chips.

[0096] As another implementation approach, the server provided in this application embodiment can be implemented using a general-purpose computer. That is, the program code implementing the processor, receiver, and transmitter functions is stored in memory, and the general-purpose processor implements the processor, receiver, and transmitter functions by executing the code in memory.

[0097] This application also provides a computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the steps of the aforementioned real-time visibility monitoring method for highways. The computer-readable storage medium can be a tangible storage medium, such as random access memory (RAM), main memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, floppy disks, hard disks, removable storage disks, CD-ROMs, or any other form of storage medium known in the art.

[0098] Those skilled in the art will understand that the exemplary components, systems, and methods described in conjunction with the embodiments disclosed herein can be implemented in hardware, software, or a combination of both. Whether implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application. When implemented in hardware, it can be, for example, electronic circuits, application-specific integrated circuits (ASICs), appropriate firmware, plug-ins, function cards, etc. When implemented in software, the elements of this application are programs or code segments used to perform the required tasks. The programs or code segments can be stored in a machine-readable medium or transmitted over a transmission medium or communication link via data signals carried on a carrier wave.

[0099] It should be clarified that this application is not limited to the specific configurations and processes described above and shown in the figures. For the sake of brevity, detailed descriptions of known methods are omitted here. In the above embodiments, several specific steps are described and shown as examples. However, the method process of this application is not limited to the specific steps described and shown. Those skilled in the art can make various changes, modifications, and additions, or change the order of steps, after understanding the spirit of this application.

[0100] In this application, features described and / or illustrated for one embodiment may be used in the same or similar manner in one or more other embodiments, and / or combined with or in place of features of other embodiments.

[0101] The above description is merely a preferred embodiment of this application and is not intended to limit this application. Various modifications and variations can be made to the embodiments of this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the protection scope of this application.

Claims

1. A method for real-time monitoring of visibility on highways, characterized in that, include: Real-time collection of visibility data for the corresponding highway target segment to generate the current visibility recognition result for the highway target segment; Determine whether the visibility recognition result meets the preset visibility conditions. If not, then identify each vehicle currently traveling in the target section of the highway as a secondary recognition vehicle. The license plate of the secondary identification vehicle is recognized to obtain the corresponding license plate recognition result. Based on the license plate recognition result, it is determined whether to send a visibility risk warning message to the vehicle-mounted device of the secondary identification vehicle based on a preset cloud service. The step of performing license plate recognition on the secondary-identified vehicle to obtain the corresponding license plate recognition result, and determining whether to send a visibility risk warning message to the vehicle's onboard equipment based on the license plate recognition result, includes: Extract vehicle image data of each of the secondary-identified vehicles currently traveling within the target section of the highway from the collected highway image data; The vehicle image data of the secondary identification vehicle is used to identify the license plate number, and it is determined whether the license plate number identification result corresponding to the secondary identification vehicle is complete. If not, the on-board equipment information of the secondary identification vehicle collected by the ETC gantry corresponding to the target section of the highway is obtained. Further determine whether the similarity between the license plate number recognition result of the secondary recognition vehicle and the pre-stored license plate information recorded in the vehicle equipment information is greater than or equal to a preset percentage threshold. If not, send a visibility risk warning message to the vehicle equipment of the secondary recognition vehicle based on the preset cloud service. If it is determined that the license plate number of the vehicle identified by the secondary identification is complete, then the vehicle identified by the secondary identification is identified as a normal ETC identification vehicle, and highway network toll collection is carried out on the normal ETC identification vehicle. If it is determined that the similarity between the license plate number recognition result of the secondary recognition vehicle and the pre-stored license plate information recorded in the vehicle-mounted device is equal to or greater than a preset percentage threshold, then the secondary recognition vehicle is identified as a normal ETC recognition vehicle, and highway network toll collection is carried out on the normal ETC recognition vehicle.

2. The method for real-time monitoring of visibility on highways according to claim 1, characterized in that, Also includes: If the visibility recognition result meets the preset visibility conditions, then each vehicle currently traveling in the target section of the highway is determined to be an ETC normally recognized vehicle, so that highway network toll collection can be carried out on the ETC normally recognized vehicle.

3. The method for real-time monitoring of visibility on highways according to claim 1, characterized in that, The real-time acquisition of visibility data for the corresponding highway target segment to generate the current visibility recognition result for the highway target segment includes: Based on the visibility detection sensors used for collecting fog, haze, rain and snow, dust and smoke respectively, the visibility data of the target section of the highway is collected in real time. Generate visibility recognition results containing visibility data of fog, haze, rain and snow, dust storms, and dense smoke for the target section of the highway.

4. The method for real-time monitoring of visibility on highways according to claim 1, characterized in that, Also includes: The visibility risk warning message is sent to a preset broadcasting device via a preset cloud service to broadcast the visibility risk warning message.

5. A real-time visibility monitoring system for highways, characterized in that, include: The visibility recognition module is used to collect visibility data of its corresponding highway target segment in real time to generate the current visibility recognition result of the highway target segment. The judgment module is used to determine whether the visibility recognition result meets the preset visibility conditions. If not, each vehicle currently traveling in the target section of the highway is identified as a secondary recognition vehicle. The cloud service and early warning module is used to perform license plate recognition on the secondary recognition vehicle, obtain the corresponding license plate recognition result, and determine whether to send a visibility risk warning message to the vehicle-mounted device of the secondary recognition vehicle based on the license plate recognition result. The step of performing license plate recognition on the secondary-identified vehicle to obtain the corresponding license plate recognition result, and determining whether to send a visibility risk warning message to the vehicle's onboard equipment based on the license plate recognition result, includes: Extract vehicle image data of each of the secondary-identified vehicles currently traveling within the target section of the highway from the collected highway image data; The vehicle image data of the secondary identification vehicle is used to identify the license plate number, and it is determined whether the license plate number identification result corresponding to the secondary identification vehicle is complete. If not, the on-board equipment information of the secondary identification vehicle collected by the ETC gantry corresponding to the target section of the highway is obtained. Further determine whether the similarity between the license plate number recognition result of the secondary recognition vehicle and the pre-stored license plate information recorded in the vehicle equipment information is greater than or equal to a preset percentage threshold. If not, send a visibility risk warning message to the vehicle equipment of the secondary recognition vehicle based on the preset cloud service. If it is determined that the license plate number of the vehicle identified by the secondary identification is complete, then the vehicle identified by the secondary identification is identified as a normal ETC identification vehicle, and highway network toll collection is carried out on the normal ETC identification vehicle. If it is determined that the similarity between the license plate number recognition result of the secondary recognition vehicle and the pre-stored license plate information recorded in the vehicle-mounted device is equal to or greater than a preset percentage threshold, then the secondary recognition vehicle is identified as a normal ETC recognition vehicle, and highway network toll collection is carried out on the normal ETC recognition vehicle.

6. The real-time visibility monitoring system for highways according to claim 5, characterized in that, The cloud service and early warning module is also used to determine that each vehicle currently traveling in the target section of the highway is an ETC normally identified vehicle if the visibility recognition result meets the preset visibility conditions, so as to carry out highway network toll collection for the ETC normally identified vehicle.

7. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the real-time visibility monitoring method for highways as described in any one of claims 1 to 4.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that, When executed by a processor, the computer program implements the real-time visibility monitoring method for highways as described in any one of claims 1 to 4.

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