Vehicle-mounted interconnected road intelligent warning control method, device, equipment and medium

Abstract

The present invention discloses an on-board interconnected intelligent road surface warning control method, device, equipment, and medium, relating to the field of intelligent vehicle driving technology. The method comprises acquiring and diagnosing road surface imaging information within the vehicle's field of view to categorize road conditions; collecting road surface information, adjusting the vehicle's state based on a preset adjustment strategy and combining the road condition type and corresponding road surface information; and generating warning information based on the road condition type and corresponding road surface information to provide subsequent vehicle driving warnings. This application can effectively ensure vehicle driving comfort and safety, and reduce vehicle damage caused by road problems.

Description

Technical Field

[0001] The present application relates to the field of vehicle intelligent driving technology, and specifically to a vehicle-mounted interconnected road intelligent early warning control method, device, equipment and medium. Background Art

[0002] At present, assisted driving functions are gradually being applied in the automotive field. Assisted driving functions such as ACC (Adaptive Cruise Control) are important functions in vehicle automatic driving functions. Through sensors installed on the vehicle, the vehicle's front driving environment is monitored in real time, and the vehicle's driving speed, steering and other states are adaptively adjusted to adapt to the vehicle's front driving environment.

[0003] With the rapid development of the transportation industry and the increasing volume of road transport, road damage, severity, and frequency are increasing, resulting in potholes, subsidence, peeling, cracking, and other road damage. These road surface damages pose a serious threat to driving safety. Therefore, how to enable vehicles to obtain timely road conditions ahead and provide driving warnings based on these conditions to ensure driving comfort has become an urgent issue. Summary of the Invention

[0004] The present application provides an on-board interconnected road intelligent warning control method, device, equipment and medium, which can effectively ensure the comfort and safety of vehicle driving and reduce vehicle damage caused by road problems.

[0005] In a first aspect, an embodiment of the present application provides a vehicle-mounted interconnected road surface intelligent early warning control method, the vehicle-mounted interconnected road surface intelligent early warning control method comprising:

[0006] Obtain road imaging information within the vehicle's driving field of view and diagnose and analyze it to obtain road condition classification;

[0007] Collect road information and adjust the vehicle status based on preset adjustment strategies and combined with road condition type and corresponding road information;

[0008] Generate warning information based on road condition type and corresponding road information to achieve subsequent vehicle driving warning.

[0009] In conjunction with the first aspect, in one embodiment, obtaining road imaging information within the vehicle's driving field of view and conducting diagnostic analysis to obtain a road condition classification specifically includes:

[0010] The image sensor collects road imaging information within the vehicle's current driving field of view and transmits the collected road imaging information to the vehicle's chassis domain controller;

[0011] The chassis domain controller performs real-time judgment and analysis on the collected road imaging information to obtain a classification of road condition types.

[0012] In conjunction with the first aspect, in one embodiment,

[0013] The road condition types include normal road surface and damaged road surface;

[0014] The normal road surface includes standard road surfaces of different grades;

[0015] The damaged road surface includes joint road surface, manhole cover road surface, pothole road surface, track crossing road surface, painted road surface, slope sudden change road surface, and rutted road surface.

[0016] In conjunction with the first aspect, in one embodiment, collecting road surface information specifically includes:

[0017] When the road condition type is high-quality road surface, the collected road surface information includes road surface texture wavelength and road surface friction coefficient; when the road condition type is joint road surface, the collected road surface information includes the number, width and shape of joints;

[0018] When the road condition type is a manhole cover road, the collected road information includes the number, location and height of the manhole covers; when the road condition type is a pothole road, the collected road information includes the number, location and depth of the potholes;

[0019] When the road condition type is a track crossing the road, the collected road information includes the position and width of the track; when the road condition type is a painted line road, the collected road information includes the position and length of the painted line;

[0020] When the road condition type is a slope mutation road surface, the collected road surface information includes the left and right mutation amount and the front and back mutation amount of the slope; when the road condition type is a rut road surface, the collected road surface information includes the length and straightness of the rut.

[0021] In conjunction with the first aspect, in one embodiment, adjusting the vehicle state based on a preset adjustment strategy and in combination with the road condition type and corresponding road information specifically includes:

[0022] Formulate a preset adjustment strategy based on vehicle driving objectives, wherein the vehicle driving objectives include a safety objective, a durable damage objective, and a comfort objective;

[0023] Automatically or proactively adjust the vehicle's state based on the current road condition type and the corresponding collected road information under the current road condition type, based on the preset adjustment strategy and the vehicle's intelligent driving adjustment configuration;

[0024] The vehicle status includes driving route, vehicle speed, and suspension system parameters.

[0025] In conjunction with the first aspect, in one embodiment, generating warning information based on the road condition type and corresponding road information to implement subsequent vehicle driving warning specifically includes:

[0026] Based on the road condition type of each road section and the corresponding road information collected under different road condition types, early warning information is generated and sent through vehicle-mounted interconnected communication;

[0027] The warning information is used to remind the current vehicle and subsequent vehicles, and to confirm whether other vehicles have received the warning information.

[0028] In conjunction with the first aspect, in one embodiment, the vehicle-mounted interconnected road intelligent early warning control method further includes:

[0029] Synchronously transmit the road damage information in the warning information to the road maintenance management server;

[0030] According to the degree of road damage and the importance of road use, reminders for road maintenance or rescue are issued on the corresponding road sections in order of priority.

[0031] In a second aspect, an embodiment of the present application provides an on-board interconnected road surface intelligent warning control device, the on-board interconnected road surface intelligent warning control device comprising:

[0032] An information input module is used to obtain and diagnose road imaging information within the vehicle's field of view, classify road conditions, and collect road information;

[0033] A vehicle adaptation module, which is used to adjust the vehicle state based on a preset adjustment strategy and in combination with the road condition type and corresponding road information;

[0034] The cloud data processing module is used to generate warning information based on the road condition type and corresponding road information to achieve subsequent vehicle driving warning.

[0035] In a third aspect, an embodiment of the present application provides an on-board interconnected road intelligent warning control device, which includes a processor, a memory, and an on-board interconnected road intelligent warning control program stored in the memory and executable by the processor. When the on-board interconnected road intelligent warning control program is executed by the processor, the steps of the above-mentioned on-board interconnected road intelligent warning control method are implemented.

[0036] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, on which a vehicle-connected road surface intelligent warning control program is stored. When the vehicle-connected road surface intelligent warning control program is executed by a processor, the steps of the above-mentioned vehicle-connected road surface intelligent warning control method are implemented.

[0037] The beneficial effects of the technical solutions provided in the embodiments of the present application include:

[0038] It can effectively reduce problems such as tire blowouts caused by road surfaces and driving habits, reduce damage to components and vehicles caused by road surfaces and their own conditions during driving, and effectively reduce the occurrence of road traffic accidents. At the same time, it can quickly identify road conditions and quickly feedback to the vehicle's own adjustment system to improve driving comfort and realize cloud data sharing. It can quickly share road warning information through Internet technology to ensure mutual and smooth vehicle information, thereby improving the efficiency of road maintenance. Through cloud data information transmission, it greatly improves the priority of road repairs and maintenance work, effectively ensures the comfort and safety of vehicle driving, and reduces vehicle damage caused by road problems. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] Figure 1 This is a flow chart of the vehicle-mounted interconnected road intelligent warning control method of this application;

[0040] Figure 2 This is a functional module diagram of the vehicle-mounted interconnected road intelligent warning control device of this application;

[0041] Figure 3 This is a schematic diagram of the hardware structure of the vehicle-mounted interconnected road intelligent warning control device for this application. DETAILED DESCRIPTION

[0042] In order to enable those skilled in the art to better understand the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0043] In order to make the objectives, technical solutions and advantages of this application clearer, the implementation methods of this application will be further described in detail below with reference to the accompanying drawings.

[0044] In a first aspect, an embodiment of the present application provides a vehicle-mounted interconnected road intelligent warning control method.

[0045] In one embodiment, referring to Figure 1 , Figure 1This is a flow chart of the vehicle-mounted interconnected road intelligent warning control method of this application. Figure 1 As shown, the vehicle-mounted interconnected road intelligent early warning control method includes:

[0046] S1: Obtain road imaging information within the vehicle's field of view and diagnose and analyze it to obtain a road condition classification;

[0047] Furthermore, in one embodiment, road imaging information within the vehicle's field of view is obtained and diagnosed and analyzed to obtain a classification of road condition types, specifically including:

[0048] S101: collecting road imaging information within the current driving field of view of the vehicle through an image sensor, and transmitting the collected road imaging information to a chassis domain controller of the vehicle;

[0049] Specifically, when the vehicle is driving, a road scanning camera mounted in front of the vehicle is used to obtain road imaging information within the vehicle's current driving field of view, and the collected road imaging information is transmitted to the vehicle's chassis domain controller. In one possible implementation, the road imaging information is road image information of the mileage distance to be traveled within 50 meters in front of the vehicle.

[0050] S102: The chassis domain controller performs real-time judgment and analysis on the collected road imaging information to obtain a classification of road condition types.

[0051] Specifically, the road imaging information is transmitted to the vehicle's chassis domain controller, which then performs a classified diagnosis of road conditions. Road conditions include normal and damaged road conditions. Normal road conditions include standard road surfaces of varying grades, specifically Class A, Class B, and Class C. Damaged road conditions include joints, manhole covers, potholes, tracks crossing, painted roads, sudden slope changes, and rutted roads. For the specific division of normal road surfaces in this application, it is divided according to the asphalt demolition materials of the road surface. Class A road surface corresponds to Class A asphalt, which represents the highest grade of asphalt and is usually used in places with very high requirements for road surface quality, such as high-grade highways and airport runways; Class B road surface corresponds to Class B asphalt, which is a medium grade of asphalt and is usually used for urban roads and roads with general traffic volume. Class B asphalt is slightly inferior to Class A asphalt in adhesion and durability, but can still meet the use requirements of most roads; Class C road surface corresponds to Class C asphalt, which represents a lower grade of asphalt and is usually used for low-grade highways and roads for light vehicles. Class C asphalt has relatively weak adhesion and durability and is suitable for roads with small traffic volume and slow speed, and places with lower requirements for road surface quality.

[0052] S2: Collect road information and adjust the vehicle state based on the preset adjustment strategy and the combination of road condition type and corresponding road information;

[0053] Specifically, when the road condition type is high-quality road surface, the collected road surface information includes road surface texture wavelength and road surface friction coefficient; when the road condition type is joint road surface, the collected road surface information includes the number, width and shape of joints;

[0054] When the road condition type is a manhole cover road, the collected road information includes the number, location and height of the manhole covers; when the road condition type is a pothole road, the collected road information includes the number, location and depth of the potholes;

[0055] When the road condition type is a track crossing the road, the collected road information includes the position and width of the track; when the road condition type is a painted line road, the collected road information includes the position and length of the painted line;

[0056] When the road condition is a sudden slope, the collected road surface information includes the left-right and front-back sudden slopes. When the road condition is rutted, the collected road surface information includes the length and straightness of the ruts. Furthermore, for other road condition types within the damaged road, the location and number of damages are collected.

[0057] The collection of the above-mentioned road surface information is further explained as follows: For normal roads, the road texture wavelength and road friction coefficient are mainly collected at the same time, which are input into the vehicle driving judgment as a high-probability random road surface, so that the vehicle's own parameters can be adjusted and adapted in the subsequent process to meet the requirements of comfort and minimum durable damage; for jointed roads, the number, position, and width of joints need to be diagnosed; for pothole roads, the depth, water accumulation information, and quantity of potholes need to be collected; for manhole cover roads, the position and height of the manhole covers, and whether an avoidance driving route is taken, etc. need to be collected.

[0058] Furthermore, in one embodiment, adjusting the vehicle state based on a preset adjustment strategy and in combination with the road condition type and corresponding road information specifically includes:

[0059] S201: formulating a preset adjustment strategy based on vehicle driving objectives, wherein the vehicle driving objectives include a safety objective, a durable damage objective, and a comfort objective;

[0060] S202: Automatically or proactively adjusting the vehicle state based on a preset adjustment strategy and the vehicle's intelligent driving adjustment configuration for the current road condition type and the corresponding collected road information for the current road condition type;

[0061] The vehicle status includes driving route, vehicle speed, and suspension system parameters.

[0062] Specifically, for the acquired road condition type and road information corresponding to the road condition type, real-time road condition information is obtained, and through the vehicle's intelligent driving adjustment configuration, such as the active driving control system, the safety and comfort of the vehicle's occupants or cargo are met, while at the same time, the durable damage to vehicle components or systems in the intelligent control is minimized, thereby improving the vehicle's durable life adaptability.

[0063] Furthermore, the preset adjustment strategies adopted for each road condition type are described in detail as follows:

[0064] When the road condition is normal, the default adjustment strategy is to adapt the suspension system parameters to the current road condition based on the current vehicle speed. For example, the suspension system height is lowered to adapt the suspension system stiffness and shock absorber damping to the current vehicle speed. Furthermore, on normal roads, the vehicle's driving objectives prioritize ride comfort. The system also records the subdivisions of different road condition types within the normal road classification. Based on the collected road texture wavelengths, road types A / B / C are subdivided into 10 levels, from A.1 / A.2 to A.10, enabling precise control and real-time adaptation under active vehicle control.

[0065] When the road condition is a jointed surface, the default adjustment strategy is to adjust vehicle speed and suspension system parameters. When the road condition is a manhole cover, the default adjustment strategy is to adjust the driving route and suspension system parameters. When the road condition is a pothole surface, the default adjustment strategy is to adjust the driving route, vehicle speed, and suspension system parameters. When the road condition is a track crossing surface, the default adjustment strategy is to adjust vehicle speed and suspension system parameters. Furthermore, for jointed surfaces, manhole covers, potholes, and tracks crossing surfaces, the required driving objectives are to estimate arrival time based on driving speed, adjust suspension system parameters in real time to ensure comfort, minimize vehicle damage, or remind the driver to change the driving route if the road condition is severely damaged.

[0066] When the road condition is a painted road, the default adjustment strategy is to adjust the suspension system parameters. When the road condition is a sudden slope, the default adjustment strategy is to adjust the driving route, vehicle speed, and suspension system parameters. When the road condition is a rutted road, the default adjustment strategy is to adjust the driving route, vehicle speed, and suspension system parameters. For painted roads, sudden slopes, and rutted roads, the vehicle's driving objectives are to adjust the suspension system to achieve real-time comfort and minimize vehicle durability damage based on the current driving route or lane occupancy information.

[0067] For other road condition types within a damaged road, the default adjustment strategy is to adjust the driving route, vehicle speed, and suspension system parameters. Furthermore, under these other road condition types, the vehicle's driving objectives are to ensure comprehensive driving safety and comfort, and to minimize damage.

[0068] Furthermore, while the vehicle is driving, GPS (Global Positioning System) positioning traces record driving data throughout the entire journey. The GPS is accurate to a specific lane of the road and fully records the road surface information during the driving process, so that the driver can change lanes safely according to relevant voice prompts to achieve the purpose of driving comfort and minimum durable damage to the vehicle. This is mainly to avoid problems such as poor driving comfort and rapid vehicle damage caused by protruding manhole covers, potholes, and continuous seam grid roads on damaged roads due to excessive speed or negligent driving. The chassis domain controller is integrated with control logic based on real-time road conditions. The suspension system automatically adjusts the stiffness and damping adaptation to different road conditions in real time to ensure comfort and minimum durable damage. The front and rear suspension systems are matched in real time based on real-time differences, which is more accurate. When adjusting the stiffness and damping of the suspension system, the stiffness and damping characteristics corresponding to the optimal comfort under the current load of the vehicle's own cargo and passengers are automatically matched.

[0069] When the vehicle suspension system is used as an active control system, the control strategy must meet the following logical control requirements:

[0070] The input parameters are the vehicle itself and a collection of collected parameters. The calculation process involves intelligent computation based on the input parameters. The principle is to calculate parameters based on the existing collected data. For example, under the existing load, the vehicle speed is constrained to maintain a constant, minimize the weighted acceleration of the vehicle body, maximize comfort, and adjust the active suspension system. The corresponding adjustment strategy can be implemented by the active suspension development and integration manufacturer. Durability damage is calculated based on the accumulated load damage under real-time excitation of the vehicle model under maximum load, and the minimum controllable stiffness and damping of the existing suspension system is adapted. The safe driving assessment value is a comprehensive evaluation of the vehicle's weighted acceleration and the durable damage value. This is weighted and can be adjusted based on the road surface classification. On normal roads, comfort can be adjusted to a factor of 0.6, and durable damage to a factor of 0.4. On damaged roads, comfort can be adjusted to 0.7 and durable damage to 0.3, thereby estimating the safe driving assessment value.

[0071] S3: Generate warning information based on the road condition type and corresponding road information to achieve subsequent vehicle driving warning.

[0072] Furthermore, in one embodiment, warning information is generated based on the road condition type and corresponding road information to implement subsequent vehicle driving warning, specifically including:

[0073] S301: generating warning information based on the road condition type of each road section and the corresponding road information collected under different road condition types, and sending the warning information through the vehicle-mounted interconnected communication method;

[0074] S302: Remind the current vehicle and subsequent vehicles through the warning information, and confirm whether other vehicles have received the warning information.

[0075] Warning information is primarily used to alert the vehicle's own driver and subsequent drivers on the same road who will enter the current section. Road conditions are recorded and key information is transmitted for vehicle connectivity. For example, if a road has many manhole covers or potholes, drivers are reminded to slow down or take a detour. Vehicles with active suspension systems are also reminded to adjust stiffness and damping in real time to ensure optimal comfort and minimize damage. Furthermore, traffic information can be synchronized to smart mobile device navigation systems for shared use.

[0076] After the warning information is sent to other vehicles, the reception confirmation status of the warning information by other vehicles will be displayed. That is, after the warning information is sent normally, if other vehicles that need the warning information receive it, the vehicle that sent the warning information will display the reception confirmation status of the warning information.

[0077] Furthermore, the vehicle-mounted interconnected road intelligent early warning control method of the present application also includes:

[0078] S401: Synchronously transmitting the road damage information in the warning information to the road maintenance management server;

[0079] S402: Road maintenance or rescue reminders are issued for the corresponding road sections in order of priority, based on the severity of road damage and road importance. Specifically, for roads with severe damage or high importance, road maintenance or rescue reminders are prioritized to the relevant departments. If the relevant departments confirm the reminder, the reminder will not be repeated. However, if the corresponding road is repeatedly used within a short period of time, the reminder will continue.

[0080] This application uses road surface condition scanning and post-processing countermeasures to prevent tire blowouts or other durable damage caused by road conditions while driving, while also improving driving comfort, data cloud sharing, and road maintenance interconnection, completing interrelated maintenance warnings for people, vehicles, and roads, and improving the efficiency of road traffic use. It can enhance the company's technological foresight in the field of new energy vehicles and intelligent network technology, increase core competitiveness, and achieve real-time monitoring needs for safe driving, saving vehicle maintenance costs for road users. It can also improve the information sharing and recording of in-vehicle interconnection technology, improve traffic efficiency, reduce traffic accidents, and solve the problem of inability to execute in real time while driving on the road, and increase the intelligent cloud synchronization of in-vehicle network information applications and driver model databases.

[0081] In a second aspect, an embodiment of the present application also provides a vehicle-mounted interconnected road intelligent warning control device.

[0082] In one embodiment, referring to Figure 2 , Figure 2 This is a functional module diagram of the vehicle-mounted interconnected road intelligent warning control device of this application. Figure 2 As shown, the vehicle-mounted interconnected road intelligent warning control device includes: an information input module, a vehicle adaptation module, and a cloud data processing module.

[0083] The information input module is used to obtain and diagnose road imaging information within the vehicle's driving field of view, obtain road condition type classification, and collect road information; the vehicle adaptation module is used to adjust the vehicle status based on the preset adjustment strategy and in combination with the road condition type and corresponding road information; the cloud data processing module is used to generate early warning information based on the road condition type and corresponding road information to realize subsequent vehicle driving early warning.

[0084] The cloud data processing module specifically realizes data sharing through cloud transmission, thereby realizing road surface information recording and synchronous sharing of road surface information, traffic information recording and navigation update synchronization, road maintenance records and filing with relevant departments.

[0085] In a third aspect, an embodiment of the present application provides an in-vehicle interconnected road intelligent warning control device, which may be a personal computer (PC), a laptop computer, a server, or other device with data processing capabilities.

[0086] Reference Figure 3 , Figure 3 Schematic diagram of the hardware structure of the vehicle-mounted interconnected road intelligent warning control device involved in the embodiment of the present application. In the embodiment of the present application, the vehicle-mounted interconnected road intelligent warning control device may include a processor, a memory, a communication interface and a communication bus.

[0087] The communication bus may be of any type and is used to interconnect the processor, memory, and communication interface.

[0088] Communication interfaces include input / output (I / O), physical, and logical interfaces, which interconnect components within the vehicle-mounted connected road intelligent warning and control system, as well as interfaces that connect the vehicle-mounted connected road intelligent warning and control system to other devices (such as other computing devices or user devices). Physical interfaces can include Ethernet, fiber optic, and ATM interfaces; user devices can include displays and keyboards.

[0089] The memory can be various types of storage media, such as random access memory (RAM), read-only memory (ROM), non-volatile RAM (NVRAM), flash memory, optical storage, hard disk, programmable ROM (PROM), erasable PROM (EPROM), electrically erasable PROM (EEPROM), etc.

[0090] The processor may be a general-purpose processor that can call the vehicle-connected road surface intelligent warning control program stored in the memory and execute the vehicle-connected road surface intelligent warning control method provided in the embodiments of the present application. For example, the general-purpose processor may be a central processing unit (CPU). The method executed when the vehicle-connected road surface intelligent warning control program is called can refer to the various embodiments of the vehicle-connected road surface intelligent warning control method of the present application and will not be repeated here.

[0091] Those skilled in the art will understand that Figure 3 The hardware structure shown in the figure does not constitute a limitation to the present application and may include more or fewer components than shown in the figure, or a combination of certain components, or a different arrangement of components.

[0092] In a fourth aspect, an embodiment of the present application also provides a computer-readable storage medium.

[0093] The computer-readable storage medium of the present application stores an on-board interconnected road surface intelligent warning control program, wherein when the on-board interconnected road surface intelligent warning control program is executed by a processor, the steps of the on-board interconnected road surface intelligent warning control method as described above are implemented.

[0094] Among them, the method implemented when the vehicle-mounted interconnected road intelligent warning control program is executed can refer to the various embodiments of the vehicle-mounted interconnected road intelligent warning control method of this application, and will not be repeated here.

[0095] The terms "including" and "having" and any variations thereof in the specification and claims of this application and the above-mentioned drawings are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but optionally includes steps or units that are not listed, or optionally includes other steps or units inherent to these processes, methods, products or devices. The terms "first", "second" and "third" are used to distinguish different objects, etc., and do not represent a sequence, nor do they limit the "first", "second" and "third" to different types.

[0096] In the description of the embodiments of this application, the words "exemplary," "for example," or "for example" are used to indicate examples, illustrations, or descriptions. Any embodiment or design described as "exemplary," "for example," or "for example" in the embodiments of this application should not be construed as being preferred or advantageous over other embodiments or designs. Rather, the use of words such as "exemplary," "for example," or "for example" is intended to present the relevant concepts in a concrete manner.

[0097] In the description of the embodiments of the present application, unless otherwise specified, “ / ” means or, for example, A / B can mean A or B; “and / or” in the text is merely a description of the association relationship of associated objects, indicating that three relationships may exist, for example, A and / or B can mean: A exists alone, A and B exist at the same time, and B exists alone. In addition, in the description of the embodiments of the present application, “multiple” refers to two or more than two.

[0098] In some processes described in the embodiments of the present application, multiple operations or steps are included that appear in a specific order. However, it should be understood that these operations or steps may not be performed in the order in which they appear in the embodiments of the present application or may be performed in parallel. The sequence numbers of the operations are only used to distinguish between different operations, and the sequence numbers themselves do not represent any order of execution. In addition, these processes may include more or fewer operations, and these operations or steps may be performed in sequence or in parallel, and these operations or steps may be combined.

[0099] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus the necessary general hardware platform, of course, it can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) as described above, and includes a number of instructions for enabling a terminal device to execute the methods described in each embodiment of the present application.

[0100] The above are only preferred embodiments of the present application and do not limit the patent scope of the present application. Any equivalent structure or equivalent process transformation made using the contents of the present application specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present application.

Claims

1. A vehicle-mounted interconnected road intelligent early warning control method, characterized in that: The vehicle-mounted interconnected road intelligent early warning control method includes: Obtain road imaging information within the vehicle's driving field of view and diagnose and analyze it to obtain road condition classification; Collect road information and adjust the vehicle status based on preset adjustment strategies and combined with road condition type and corresponding road information; Generate warning information based on road condition type and corresponding road information to achieve subsequent vehicle driving warning; The road condition types include normal road surface and damaged road surface; The normal road surface includes standard road surfaces of different grades; The damaged pavement includes joint pavement, manhole cover pavement, pothole pavement, track crossing pavement, painted road surface, slope sudden change pavement, and rutted pavement; The collecting of road surface information specifically includes: When the road condition type is high-quality road surface, the collected road surface information includes road surface texture wavelength and road surface friction coefficient; when the road condition type is joint road surface, the collected road surface information includes the number, width and shape of joints; When the road condition type is a manhole cover road, the collected road information includes the number, location and height of the manhole covers; when the road condition type is a pothole road, the collected road information includes the number, location and depth of the potholes; When the road condition type is a track crossing the road, the collected road information includes the position and width of the track; when the road condition type is a painted line road, the collected road information includes the position and length of the painted line; When the road condition type is a slope mutation road surface, the collected road surface information includes the left and right mutation amount and the front and back mutation amount of the slope; when the road condition type is a rut road surface, the collected road surface information includes the length and straightness of the rut.

2. The vehicle-mounted interconnected road intelligent early warning control method according to claim 1, characterized in that: The acquisition of road imaging information within the vehicle's driving field of view and the diagnosis and analysis to obtain a road condition classification specifically include: The image sensor collects road imaging information within the vehicle's current driving field of view and transmits the collected road imaging information to the vehicle's chassis domain controller; The chassis domain controller performs real-time judgment and analysis on the collected road imaging information to obtain a classification of road condition types.

3. The vehicle-mounted interconnected road intelligent early warning control method according to claim 1, characterized in that: The adjusting of the vehicle state based on the preset adjustment strategy and in combination with the road condition type and the corresponding road information specifically includes: Formulate a preset adjustment strategy based on vehicle driving objectives, wherein the vehicle driving objectives include a safety objective, a durable damage objective, and a comfort objective; Automatically or proactively adjust the vehicle's state based on the current road condition type and the corresponding collected road information under the current road condition type, based on the preset adjustment strategy and the vehicle's intelligent driving adjustment configuration; The vehicle status includes driving route, vehicle speed, and suspension system parameters.

4. The vehicle-mounted interconnected road intelligent early warning control method according to claim 1, characterized in that: The generating of warning information according to the road condition type and the corresponding road information to realize the subsequent vehicle driving warning specifically includes: Based on the road condition type of each road section and the corresponding road information collected under different road condition types, early warning information is generated and sent through vehicle-mounted interconnected communication; The warning information is used to remind the current vehicle and subsequent vehicles, and to confirm whether other vehicles have received the warning information.

5. The vehicle-mounted interconnected road intelligent early warning control method according to claim 4, characterized in that: The vehicle-mounted interconnected road intelligent early warning control method further includes: Synchronously transmit the road damage information in the warning information to the road maintenance management server; According to the degree of road damage and the importance of road use, reminders for road maintenance or rescue are issued on the corresponding road sections in order of priority.

6. A vehicle-mounted interconnected road intelligent early warning control device, characterized in that: The vehicle-mounted interconnected road intelligent early warning control device includes: An information input module is used to obtain and diagnose road imaging information within the vehicle's field of view, classify road conditions, and collect road information; A vehicle adaptation module, which is used to adjust the vehicle state based on a preset adjustment strategy and in combination with the road condition type and corresponding road information; A cloud data processing module is used to generate warning information based on road condition types and corresponding road information to implement subsequent vehicle driving warnings; The road condition types include normal road surface and damaged road surface; The normal road surface includes standard road surfaces of different grades; The damaged pavement includes joint pavement, manhole cover pavement, pothole pavement, track crossing pavement, painted road surface, slope sudden change pavement, and rutted pavement; The collecting of road surface information specifically includes: When the road condition type is high-quality road surface, the collected road surface information includes road surface texture wavelength and road surface friction coefficient; when the road condition type is joint road surface, the collected road surface information includes the number, width and shape of joints; When the road condition type is a manhole cover road, the collected road information includes the number, location and height of the manhole covers; when the road condition type is a pothole road, the collected road information includes the number, location and depth of the potholes; When the road condition type is a track crossing the road, the collected road information includes the position and width of the track; when the road condition type is a painted line road, the collected road information includes the position and length of the painted line; When the road condition type is a slope mutation road surface, the collected road surface information includes the left and right mutation amount and the front and back mutation amount of the slope; when the road condition type is a rut road surface, the collected road surface information includes the length and straightness of the rut.

7. A vehicle-mounted interconnected road intelligent early warning control device, characterized in that: The on-board interconnected road surface intelligent warning control device includes a processor, a memory, and an on-board interconnected road surface intelligent warning control program stored in the memory and executable by the processor. When the on-board interconnected road surface intelligent warning control program is executed by the processor, the steps of the on-board interconnected road surface intelligent warning control method according to any one of claims 1 to 5 are implemented.

8. A computer-readable storage medium, characterized in that The computer-readable storage medium stores an on-board interconnected road surface intelligent warning control program, wherein when the on-board interconnected road surface intelligent warning control program is executed by the processor, the steps of the on-board interconnected road surface intelligent warning control method according to any one of claims 1 to 5 are implemented.

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