Headlamp intelligent safety control system applied before vehicle enters tunnel

Through real-time positioning and map data comparison of cloud server platform and map data integration unit, the vehicle headlight lighting mode is automatically adjusted, which solves the problem of early warning and adaptation to tunnel light changes in the existing technology, and improves driving safety and adaptability sex.

CN119189859APending Publication Date: 2024-12-27ZAIHE AUTOMOBILE TECHNOLOGY (SUZHOU) CO LTD
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Patent Information

Application Number
CN202411420130.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-10-12
Publication Date
2024-12-27

AI Technical Summary

Technical Problem

The existing vehicle headlight automatic turn-on function cannot be early warning and adapted to changes in light before entering the tunnel, resulting in the ‘black hole effect’ increasing the risk of traffic accidents.

Method used

Using cloud server platform and map data integration unit, through real-time positioning and map data comparison, the headlight lighting mode is automatically adjusted, the high beam is turned on before entering the tunnel and the preset is switched to the low beam to avoid visual discomfort and safety hazards. Supports user-defined parameter settings.

Benefits of technology

It realizes accurate judgment and headlight mode adjustment before the vehicle is about to enter the tunnel, reducing the visual impact and safety risks of the 'black hole effect' on the driver, improving driving safety, and adapting to changes in different environments.

✦ Generated by Eureka AI based on patent content.

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Patent Text Reader

Abstract

The invention relates to the technical field of vehicle safety control systems, and discloses a headlight intelligent safety control system applied before a vehicle enters a tunnel, which comprises a cloud server platform and a map data integration unit, the cloud server platform is in communication connection with the map data integration unit, and the map data integration unit is in communication connection with the cloud server platform. And the data of the map data integration unit is uploaded to the cloud server platform for storage. Real-time position and map positioning are integrated, real-time positioning and map data are combined, whether the vehicle is about to enter the tunnel or not is judged, accurate judgment can be better achieved, the headlamp illumination mode can be automatically adjusted within the safe distance range before the vehicle is about to enter the tunnel, the high beam is turned on firstly to illuminate the road in the tunnel, and then the vehicle is driven to enter the tunnel. And then the low beam lamp is switched according to the preset time, discomfort and potential safety hazards caused by the black hole effect to the vision of a driver are effectively avoided, and meanwhile user-defined parameter setting is supported so as to adapt to different driving requirements and environment changes.
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Description

Technical Field

[0001] The present invention relates to the technical field of vehicle safety control systems, and in particular to a headlight intelligent safety control system applied to a vehicle before it enters a tunnel. Background Art

[0002] During the driving process of the vehicle, the headlights of the car play a lighting role. With the development of technology, in order to quickly start the lighting function in dark conditions, a photosensitive sensor is generally installed on the driving platform or on the top of the front windshield. The photosensitive sensor can sense the light intensity. In insufficient light, the vehicle headlights can be turned on automatically to achieve the purpose of automatic opening. The application of this technology can avoid the dangerous situation where the driver fails to turn on the headlights in time when dealing with situations where the light changes rapidly in a short period of time, such as when entering a tunnel.

[0003] When driving in a tunnel, due to the huge difference in light intensity inside and outside the tunnel, drivers often experience a visual "black hole effect" when entering a tunnel, resulting in temporary visual impairment, which greatly increases the risk of traffic accidents. However, in the prior art, although there is an automatic start function for vehicle headlights, most of them are based on the perception of light intensity by photosensors. Correspondingly, they can only be triggered when the light becomes dim after the vehicle enters the tunnel, and cannot provide early warning and adaptation. Therefore, there are obvious shortcomings. Therefore, an intelligent safety control system for headlights applied before a vehicle enters a tunnel is proposed to solve the above problems. Summary of the invention

[0004] In order to solve the above-mentioned problems, the present invention provides a headlight intelligent safety control system applied to a vehicle before entering a tunnel.

[0005] The present invention provides a headlight intelligent safety control system for a vehicle before entering a tunnel, which adopts the following technical solutions:

[0006] A headlight intelligent safety control system used before a vehicle enters a tunnel, comprising a cloud server platform and a map data integration unit, wherein the cloud server platform is in communication connection with the map data integration unit, and data of the map data integration unit is uploaded to the cloud server platform for storage;

[0007] The output signal of the map data integration unit is connected to a real-time positioning unit, which combines the real-time positioning with the map data to determine whether the vehicle is about to enter a tunnel. The output signal of the real-time positioning unit is connected to a control processing unit, which issues a control instruction based on the conclusion of the real-time positioning unit on whether the vehicle is about to enter a tunnel, and compares the real-time position information with the data in the map data integration unit to determine whether the vehicle is about to enter a tunnel. The control processing unit outputs a single signal connected to a headlight control execution unit, which integrates the real-time position and map positioning, and combines the real-time positioning with the map data to determine whether the vehicle is about to enter a tunnel, thereby achieving more accurate judgment, and being able to automatically adjust the headlight lighting mode within a safe distance before the vehicle is about to enter the tunnel, first turning on the high beam to illuminate the road in the tunnel, and then switching to the low beam according to the preset time, effectively avoiding the discomfort and potential safety hazards caused to the driver's vision by the "black hole effect", and also supporting user-defined parameter settings to adapt to different driving needs and environmental changes.

[0008] Preferably, the cloud server platform includes a security monitoring module and a data updating module, wherein the security monitoring module is used to perform security supervision on the data stored in the cloud server platform, and the data updating module updates the map data in real time.

[0009] Preferably, the map data integration unit includes a data integration module for integrating the data in the entire map database. The output signal of the data integration module is connected to a data deduplication module, which checks and simplifies duplicate and useless data in the map database.

[0010] Preferably, the output signal of the data deduplication module is connected to a data backup module, and the data backup module backs up and stores the deduplicated and streamlined modules.

[0011] Preferably, the real-time positioning unit includes a high-precision GPS positioning module and a status self-check module, and the high-precision GPS receiver is used to obtain the vehicle's latitude and longitude, speed, direction and other location information in real time.

[0012] Preferably, the high-precision GPS positioning module is communicatively connected with a status self-checking module, and the status self-checking module performs real-time detection on whether the working status of the high-precision GPS positioning module is good.

[0013] Preferably, the output terminal signal of the state self-checking module is connected to an error reporting module, and the error reporting module reports an error when the state self-checking module detects that the working state is abnormal.

[0014] Preferably, the control processing unit includes an information transceiver module and a user-defined parameter setting module. The user-defined parameter setting module allows the user to adjust parameters such as the advance amount of high beam activation, switching delay time, headlight brightness, etc. according to personal preferences and driving environment. The information transceiver module is responsible for receiving real-time positioning information and map data. The output signal of the information transceiver module is connected to an algorithm model building module. The algorithm model building module builds an algorithm model and calculates the received map data through the algorithm model.

[0015] Preferably, the headlight control execution unit includes a controller integrated module and a headlight status detection module. The controller integrated module receives instruction data and further issues instructions. The headlight status detection module is used to detect the headlight status.

[0016] In summary, the present invention includes the following beneficial technical effects:

[0017] 1. An intelligent safety control system for headlights used before a vehicle enters a tunnel. By integrating real-time location and map positioning, and combining real-time positioning with map data, it can determine whether a vehicle is about to enter a tunnel, and can achieve more accurate judgment. It can automatically adjust the headlight lighting mode within a safe distance before the vehicle enters the tunnel, first turn on the high beam to illuminate the road in the tunnel, and then switch to the low beam according to the preset time, effectively avoiding the "black hole effect" that causes visual discomfort and potential safety hazards to the driver. At the same time, it also supports user-defined parameter settings to adapt to different driving needs and environmental changes.

[0018] 2. An intelligent safety control system for headlights used before a vehicle enters a tunnel. It uses maps and real-time positioning technology to accurately locate and predict when a vehicle is about to enter a tunnel. It further automatically adjusts the headlight lighting mode based on the vehicle's driving status and tunnel location information to avoid the "black hole effect". At the same time, the switching between high beam and low beam of the headlights has a fast response capability. Compared with the traditional method of judging whether to turn on the headlights based on the light intensity after entering the tunnel, it is safer and more intelligent. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 This is a flow chart of the vehicle headlight control system of the present invention;

[0020] Figure 2 is a system structure diagram of the present invention;

[0021] Figure 3 This is a structural diagram of the cloud server platform in the present invention;

[0022] Figure 4 It is a structural diagram of the map data integration unit in the present invention;

[0023] Figure 5 is a structural diagram of the real-time positioning unit in the present invention;

[0024] Figure 6 is a structural diagram of a control processing unit in the present invention;

[0025] Figure 7 It is a structural diagram of the headlight control execution unit in the present invention. DETAILED DESCRIPTION

[0026] The following is combined with Figure 1-7 The present invention is described in further detail.

[0027] The present invention discloses an intelligent safety control system for headlights used before a vehicle enters a tunnel. Figure 1-7 , an intelligent safety control system for headlights used before a vehicle enters a tunnel, comprising a cloud server platform and a map data integration unit, the cloud server platform being communicatively connected with the map data integration unit, and data of the map data integration unit being uploaded to the cloud server platform for storage;

[0028] The map data integration unit contains pre-installed detailed map data and terrain information, especially the specific coordinates of the location, length, entrance and exit of the tunnel. The output signal of the map data integration unit is connected to the real-time positioning unit, which combines the real-time positioning with the map data to determine whether the vehicle is about to enter the tunnel. The output signal of the real-time positioning unit is connected to the control processing unit, which issues control instructions based on the conclusion of the real-time positioning unit as to whether the vehicle is about to enter the tunnel. The single signal output by the control processing unit is connected to the headlight control execution unit.

[0029] The cloud server platform includes a security monitoring module and a data update module. The security monitoring module is used to perform security supervision on the data stored in the cloud server platform. The data update module updates the map data in real time. The map data integration unit includes a data integration module for integrating the data in the entire map database. The output signal of the data integration module is connected to the data deduplication module. The data deduplication module checks and simplifies the duplicate and useless data in the map database. The output signal of the data deduplication module is connected to the data backup module. The data backup module backs up and stores the deduplicated and simplified modules.

[0030] The real-time positioning unit obtains the vehicle's latitude and longitude, speed, direction and other location information in real time. To improve the positioning accuracy, it can be combined with the inertial navigation system (INS) or vehicle sensor data for multi-source fusion positioning. The real-time positioning unit includes a high-precision GPS positioning module and a status self-check module. The high-precision GPS receiver is used to obtain the vehicle's latitude and longitude, speed, direction and other location information in real time. The high-precision GPS positioning module is communicated with the status self-check module. The status self-check module performs real-time detection on whether the working status of the high-precision GPS positioning module is good. The output signal of the status self-check module is connected to the error reporting module. The error reporting module reports an error when the status self-check module detects that the working status is abnormal.

[0031] The control processing unit is the core of the system. This module is responsible for receiving real-time positioning information and map data. It determines whether the vehicle is about to enter the tunnel and starts the lighting control safety process in advance through a preset algorithm. The control processing unit includes an information transceiver module and a user-defined parameter setting module. The user-defined parameter setting module allows the user to adjust the advance amount of high beam activation, switching delay time, headlight brightness and other parameters according to personal preferences and driving environment. The information transceiver module is responsible for receiving real-time positioning information and map data. The output signal of the information transceiver module is connected to the algorithm model building module. The algorithm model building module builds the algorithm model and calculates the received map data through the algorithm model. The headlight activation time can be preset through the calculation result of the algorithm model building module. According to the distance from the tunnel entrance and the current vehicle speed, once the distance position reaches the preset time, the headlight control command will be sent to the headlight control execution unit.

[0032] The headlight control execution unit includes a controller integration module and a headlight status detection module. The controller integration module is implemented with a high-performance microprocessor or an application-specific integrated circuit (ASIC) to ensure the real-time and accuracy of the calculation, and further integrates the body controller, relays and other actuators. The controller integration module receives the command data and further issues commands to control the opening and closing of the vehicle headlights and the switching between high beam and low beam. The headlight status detection module is used to detect the headlight status.

[0033] During the actual vehicle driving process, the real-time positioning unit continuously obtains the current position information of the vehicle and sends the obtained information to the control processing unit. The control processing unit compares the real-time position information with the tunnel data in the map positioning and map data integration unit. If it is determined that the vehicle is about to enter the tunnel (i.e., outside the range of 100 meters before the tunnel entrance), the program is entered to prepare to adjust the headlight lighting mode. The preset algorithm is used to determine whether the vehicle is about to enter the tunnel and start the light control safety program in advance. The headlight opening time can be preset. According to the distance to the tunnel entrance and the current vehicle speed, once the distance position reaches the preset time, the headlight control command will be sent to the headlight control execution unit to turn on the high beam to illuminate the road in the tunnel. Subsequently, after a preset time delay (such as 0.5 seconds to 1 second), the command is sent again to switch to the low beam. The time delay setting can be dynamically adjusted according to the vehicle speed, the driver's reaction time and the light conditions at the tunnel entrance. At the same time, the system can detect the headlight status and the driver's visual reaction through the headlight status detection module. According to the feedback information, the system can automatically or manually adjust the high beam opening time, switching delay and other parameters to achieve the best lighting effect and safety performance;

[0034] The user-defined parameter setting module provides a user-friendly interface, allowing the driver to customize parameter settings according to personal preferences and driving environment. For example, the driver can adjust the advance amount of high beam activation, switching delay time, headlight brightness and other parameters. In addition, it can also be dynamically adjusted according to the actual driving conditions of the vehicle and the light conditions at the tunnel entrance to adapt to different driving needs and environmental changes.

[0035] The above are all preferred embodiments of the present invention, and are not intended to limit the protection scope of the present invention. Therefore, any equivalent changes made based on the structure, shape, and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. An intelligent safety control system for headlights used before a vehicle enters a tunnel, comprising a cloud server platform and a map data integration unit, characterized in that: The cloud server platform is in communication connection with the map data integration unit, and the data of the map data integration unit is uploaded to the cloud server platform for storage; The output signal of the map data integration unit is connected to the real-time positioning unit, which combines the real-time positioning with the map data to determine whether the vehicle is about to enter a tunnel. The output signal of the real-time positioning unit is connected to the control processing unit, which issues a control instruction based on the conclusion of the real-time positioning unit on whether the vehicle is about to enter a tunnel, and compares the real-time position information with the data in the map data integration unit to determine whether the vehicle is about to enter a tunnel. The control processing unit outputs a single signal connected to the headlight control execution unit.

2. According to claim 1, the intelligent safety control system for headlights used before a vehicle enters a tunnel is characterized by: The cloud server platform includes a security monitoring module and a data updating module. The security monitoring module is used to perform security supervision on the data stored in the cloud server platform, and the data updating module updates the map data in real time.

3. According to claim 1, the intelligent safety control system for headlights used before a vehicle enters a tunnel is characterized by: The map data integration unit includes a data integration module for integrating the data in the entire map database. The output end signal of the data integration module is connected to a data deduplication module, which checks and simplifies the duplicate and useless data in the map database.

4. According to claim 1, the intelligent safety control system for headlights used before a vehicle enters a tunnel is characterized by: The output signal of the data deduplication module is connected to a data backup module, and the data backup module backs up and stores the deduplicated and streamlined modules.

5. According to claim 1, the intelligent safety control system for headlights used before a vehicle enters a tunnel is characterized by: The real-time positioning unit includes a high-precision GPS positioning module and a status self-checking module. The high-precision GPS receiver is used to obtain the vehicle's latitude and longitude, speed, direction and other location information in real time.

6. The intelligent safety control system for headlights used before a vehicle enters a tunnel according to claim 5, characterized in that: The high-precision GPS positioning module is in communication connection with the state self-checking module, and the state self-checking module performs real-time detection on whether the working state of the high-precision GPS positioning module is good.

7. The intelligent safety control system for headlights used before a vehicle enters a tunnel according to claim 6, characterized in that: The output terminal signal of the state self-checking module is connected to an error reporting module, and the error reporting module reports an error when the state self-checking module detects that the working state is abnormal.

8. The intelligent safety control system for headlights used before a vehicle enters a tunnel according to claim 1, characterized in that: The control processing unit includes an information transceiver module and a user-defined parameter setting module. The user-defined parameter setting module allows the user to adjust the advance amount of high beam activation, switching delay time, headlight brightness and other parameters according to personal preferences and driving environment. The information transceiver module is responsible for receiving real-time positioning information and map data. The output signal of the information transceiver module is connected to an algorithm model building module. The algorithm model building module builds an algorithm model and calculates the received map data through the algorithm model.

9. The intelligent safety control system for headlights used before a vehicle enters a tunnel according to claim 1, characterized in that: The headlight control execution unit includes a controller integrated module and a headlight state detection module. The controller integrated module receives instruction data and further issues instructions. The headlight state detection module is used to detect the state of the headlight.