A vehicle-mounted fog penetrating instrument

Abstract

This utility model discloses an automotive fog-penetrating device, including a fog-penetrating device protective shell installed at the front of the vehicle, a main unit inside the vehicle, and a display screen. An AI low-light starlight-level full-color camera, a high-performance thermal imaging camera, and a millimeter-wave radar are sequentially arranged at the front of the fog-penetrating device protective shell. A laser warning device is installed at the rear of the fog-penetrating device protective shell. The AI ​​low-light starlight-level full-color camera, the high-performance thermal imaging camera, the millimeter-wave radar, and the laser warning device are electrically connected to the main unit, which is also electrically connected to the display screen. The AI ​​low-light starlight-level full-color camera is used to capture high-definition images in the absence of light at night. The high-performance thermal imaging camera is used to penetrate smoke or fog and image it. The millimeter-wave radar is used to detect obstacles and provide their precise location. The main unit integrates the data and presents it to the user through the display screen. The laser warning device is installed on the back of the fog-penetrating device protective shell and is controlled by the main unit to warn and guide vehicles behind.

Description

Technical Field

[0001] This utility model relates to the field of vehicle safety equipment technology, specifically a vehicle-mounted fogging device suitable for adverse weather conditions, which can improve driving visibility and safety warning capabilities. Background Technology

[0002] In modern transportation systems, vehicle safety is significantly affected by environmental factors. Extreme weather conditions such as rain, snow, fog, smoke, and fire can drastically reduce atmospheric visibility. Traditional vehicle monitoring equipment, which relies on ordinary infrared cameras, lacks the ability to penetrate fog in low-visibility environments, making it difficult to clearly capture information about road conditions and obstacles ahead.

[0003] In scenarios such as highways, extreme weather can easily lead to road closures and frequent traffic accidents. Conventional monitoring methods are insufficient to meet the needs of patrolling and rescuing closed sections. Traffic management departments often struggle to grasp road conditions and conduct efficient rescues due to limited visibility, which not only increases the risk of road safety accidents but also leads to higher traffic control costs and negatively impacts the local economy. Therefore, developing a vehicle-mounted fog penetrator that can overcome visual limitations in severe weather, provides accurate early warnings, and adapts to multiple scenarios has become an urgent need to ensure driving safety and improve traffic management efficiency. Utility Model Content

[0004] The purpose of this invention is to provide an automotive fogging device that solves the problems of limited visibility and insufficient early warning in vehicle monitoring under severe weather conditions, thereby improving the safety and efficiency of driving and road patrol and rescue.

[0005] To achieve the above objectives, the present invention employs the following technical means:

[0006] A car-mounted fog-penetrating device includes a fog-penetrating device protective shell disposed at the front of the vehicle, a main unit inside the vehicle, and a display screen. An AI low-light starlight-level full-color camera, a high-performance thermal imaging camera, and a millimeter-wave radar are sequentially disposed at the front of the fog-penetrating device protective shell. A laser warning device is disposed at the rear of the fog-penetrating device protective shell. The AI ​​low-light starlight-level full-color camera, the high-performance thermal imaging camera, the millimeter-wave radar, and the laser warning device are electrically connected to the main unit. The main unit is electrically connected to the display screen.

[0007] The AI ​​low-light starlight-level full-color camera is used to capture high-definition images in the absence of light at night. The high-performance thermal imaging camera is used to penetrate smoke or fog and image. The millimeter-wave radar is used to detect obstacles and report their precise location. The host is used to integrate the data from the AI ​​low-light starlight-level full-color camera, the high-performance thermal imaging camera, and the millimeter-wave radar, and present them to the user through the display screen.

[0008] The laser warning device is installed on the back of the fog penetrator's protective housing and includes three parallel laser emitters, which are controlled by the main unit to warn and guide vehicles behind.

[0009] Preferably, the AI ​​low-light starlight-level full-color camera and high-performance thermal imaging camera adopt dual-spectrum fusion technology, which can effectively detect and image a distance of 300 meters in front of them at night and in foggy weather with extremely low visibility.

[0010] Preferably, the millimeter-wave radar adopts the FMCW modulation mode, which can accurately measure the distance to obstacles in front within the measurement range, issue a warning to the driver in the first 1.5 seconds, and detect objects around the vehicle and the distance between the vehicle and the target vehicle in real time. When the safe distance is less than the threshold, an alarm is issued.

[0011] Preferably, the display screen is a 12-inch smart display screen, the host is a multi-functional host, and the host is equipped with severe weather road patrol system software to assist in patrolling roads under various severe weather and extreme scenarios.

[0012] Preferably, the high-performance thermal imaging camera can penetrate smoke or fog to image the host unit in all weather conditions.

[0013] Preferably, the vehicle-mounted fog penetrator is suitable for patrolling or rescue operations in extreme weather conditions such as rain, snow, fog, smoke, and fire scenes, when highways are closed.

[0014] Preferably, the millimeter-wave radar integrates FCW (Forward Collision Warning) function, which can monitor the distance, angle and relative speed of vehicles ahead in real time, and issue an alarm to the driver through sound or visual signals when it is determined that there is a potential collision hazard.

[0015] Preferably, a power supply interface is provided below the laser warning device.

[0016] Compared with the prior art, the vehicle-mounted fogging device of this utility model has the following beneficial effects:

[0017] Breakthrough in vision: Dual-spectrum fusion technology, combined with full-color and thermal imaging, enables clear detection up to 300 meters in nighttime and foggy conditions, overcoming blind spots in adverse weather conditions;

[0018] Precise early warning: Millimeter-wave radar integrated with FCW monitors vehicle distance, angle, and speed in real time, providing an audible and visual warning 1.5 seconds before a potential collision, reducing the risk of accidents;

[0019] Multi-scenario adaptation: Covers extreme weather conditions such as rain, snow, and smoke, meets the needs of highway closed patrol and rescue, and expands the application boundaries of vehicle-mounted equipment;

[0020] Interactive collaboration: The laser warning device is linked to the host unit, providing precise and controllable warnings from the rear; the host software and display screen integrate information, making operation convenient and improving road operation efficiency and safety. Attached Figure Description

[0021] Figure 1 This is a schematic diagram of the front structure of the automotive fogging device of this utility model;

[0022] Figure 2 This is a schematic diagram of the back structure of the automotive fogging device of this utility model;

[0023] Figure 3 This is a flowchart illustrating the working principle of the automotive fogging device of this utility model.

[0024] The attached figures are labeled as follows:

[0025] 1. Fog penetrator protective housing; 2. AI low-light starlight level full-color camera; 3. High-performance thermal imaging camera; 4. Millimeter-wave radar; 5. Laser warning device; 6. Power supply interface. Detailed Implementation

[0026] The technical solution of this utility model will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this utility model. Based on the embodiments of this utility model, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this utility model.

[0027] In the description of this utility model, it should be noted that the terms "center," "upper," "lower," "left," "right," "vertical," "horizontal," "inner," and "outer," etc., indicating the orientation or positional relationship, are based on the orientation or positional relationship shown in the accompanying drawings and are only for the convenience of describing this utility model and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of this utility model. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0028] In the description of this utility model, it should be noted that, unless otherwise explicitly specified and limited, the terms "installation," "connection," and "joining" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this utility model based on the specific circumstances.

[0029] like Figure 1-2 As shown:

[0030] This automotive fog-penetrating device includes a fog-penetrating device protective housing 1 installed at the front of the vehicle, a main unit inside the vehicle, and a display screen. The front of the fog-penetrating device protective housing 1 is sequentially equipped with an AI low-light starlight-level full-color camera 2, a high-performance thermal imaging camera 3, and a millimeter-wave radar 4. A laser warning device 5 is located at the rear. All components are electrically connected to the main unit and the display screen, and their functions are coordinated as follows:

[0031] AI Low-Light Starlight Full-Color Camera 2: Captures high-definition images in the absence of light at night, aiding in visual monitoring in low-light environments.

[0032] High-performance thermal imaging camera 3: Penetrates smoke and fog to image, overcoming visual obstacles in adverse weather conditions.

[0033] Millimeter-wave radar 4: Detects obstacles and reports their location, integrates FCW forward collision warning, monitors vehicle distance, angle, and relative speed, and provides audible and visual warnings in case of danger.

[0034] Laser warning device 5: Contains three parallel laser emitters, controlled by the main unit, to warn and guide vehicles behind.

[0035] Main unit and display screen: The main unit integrates data from multiple devices and runs the road patrol system software for severe weather; the 12-inch smart display screen presents integrated information to assist road operations in severe weather.

[0036] Meanwhile, the AI ​​low-light starlight-level full-color camera and high-performance thermal imaging camera adopt dual-spectrum fusion technology, which can detect up to 300 meters ahead at night and in extreme fog; the millimeter-wave radar uses FMCW modulation mode to accurately measure distance and provide early warning 1.5 seconds in advance; the equipment is suitable for extreme scenarios such as rain, snow, fog, smoke, and fire, and can be used for patrol and rescue when highways are closed.

[0037] Component installation of this utility model:

[0038] Fog penetrator protective housing: Fixed in a suitable position at the front of the vehicle, such as the top of the hood or above the bumper, ensuring that the front camera and radar are unobstructed, and the laser warning device on the back faces the rear of the vehicle.

[0039] Main unit and display screen: The main unit is located inside the vehicle and can be set below the center console to ensure heat dissipation and convenient wiring; the 12-inch intelligent display screen is installed on the center console of the driver's cabin for easy viewing by the driver or operators.

[0040] Electrical connection: Connect the signal cables and power cables of the AI ​​low-light starlight full-color camera 2, high-performance thermal imaging camera 3, millimeter-wave radar 4, and laser warning device 5 to the corresponding interfaces of the host, and then connect the host to the display screen to complete the electrical integration.

[0041] Specific Work Process

[0042] Startup and Environmental Detection: When the device is turned on, the host automatically detects parameters such as ambient light and visibility. When the light is ≤0.001 lux, i.e. at night or when the light is extremely dark, the AI ​​low-light starlight-level full-color camera is activated; when encountering low visibility conditions such as fog, smoke, or snow, the high-performance thermal imaging camera is activated; and the millimeter-wave radar is activated by default in all scenarios.

[0043] Data acquisition and processing:

[0044] AI low-light starlight-level full-color camera 2 captures high-definition visible light images, while high-performance thermal imaging camera 3 penetrates smoke to collect thermal imaging data. Both are transmitted to the host computer and processed by a dual-spectrum fusion algorithm to generate composite scene images.

[0045] The millimeter-wave radar 4 detects obstacles within 150 meters and outputs position and distance data. The host obstacle analysis module determines whether the distance is less than the safety threshold, triggering an FCW warning sound and flashing the display screen; if it is greater than the threshold, the position is updated to the display screen in real time.

[0046] Information presentation and warning linkage: The main unit integrates composite scene images and obstacle information, and pushes them to a 12-inch display screen. In low visibility conditions, such as rainy or foggy weather, or under warning conditions, the main unit determines that a rear warning is needed and triggers the laser warning device. Three parallel lasers are emitted, and the device can automatically or manually switch between continuous and pulse modes depending on the fog concentration and the distance to the vehicle behind, to warn and guide vehicles behind. After the environment recovers or the device is manually turned off, it goes into standby mode and cycles through the environmental detection process.

[0047] Example 1: Application of highway fog rescue scenario: Due to sudden fog, visibility on the highway is less than 50 meters. Multiple rear-end collisions have led to the closure of the road in both directions. The rescue command center dispatches emergency rescue vehicles equipped with the vehicle-mounted fog penetrator to carry out the entire process of "survey-clearing-guidance".

[0048] Implementation steps

[0049] The fog penetrator protective housing 1 is installed in the center of the front of the rescue vehicle to ensure that the AI ​​low-light full-color camera 2, high-performance thermal imaging camera 3, and millimeter-wave radar 4 are unobstructed; the main unit is placed below the passenger seat, and the 12-inch display screen is embedded in the center console.

[0050] After the device is started, the host automatically detects the environment: due to the dim light and severe fog at night, with visibility of 30-40 meters, the dual-spectrum fusion mode is automatically activated - the AI ​​camera collects the outline image in the low light environment, and the thermal imaging camera penetrates the fog to capture the heat source of the accident vehicle within 200 meters ahead.

[0051] The millimeter-wave radar 4 scans in FMCW mode and outputs real-time data on obstacles within 150 meters ahead.

[0052] When the first rear-end collision is detected 120 meters away from the vehicle, the main unit triggers an FCW warning, which can be achieved by using a buzzer and a red flashing display screen, and simultaneously marking "Obstacle type: stationary vehicles and people";

[0053] The system continuously scanned and detected that the rescue convoy was 80 meters away from the vehicle. It automatically reduced the power of the laser warning device from 5mW to 3mW to avoid strong light interference with the following vehicles, while maintaining a continuous laser warning strip.

[0054] Once the rescue vehicle approaches the accident site, the thermal imaging camera 3 clearly shows the distribution of heat sources in the accident vehicle and the location of trapped personnel through smoke or dense fog, assisting rescuers in quickly locating them.

[0055] After the obstacle is cleared, the three laser warning devices flash in a "left-middle-right" interval to guide the stranded vehicles behind to pass through the accident section in sequence; the host software automatically records the obstacle clearing trajectory and environmental data, and generates a "fog weather rescue and disposal report".

[0056] Dual-spectrum fusion effect: In nighttime fog conditions, the composite image clearly restores the outline of the accident vehicle and the thermal imaging of heat source distribution, improving the recognition accuracy by 70%;

[0057] Radar warning response: The time from obstacle detection to triggering FCW warning is ≤0.3 seconds, meeting the design requirement of "1.5-second advance warning";

[0058] Laser mode adaptation: Automatically switches power and frequency to ensure warning effect while avoiding interference with following vehicles.

[0059] Example 2: Application in mountainous winter rain, snow and ice scenarios

[0060] Scene background

[0061] Due to a cold wave and snowfall, the road surface of a certain mountain highway is icy and foggy, with visibility less than 80 meters. The management department needs to inspect sections of the road that are prone to icing, such as bridge sections and tunnel entrances, to prevent a chain of accidents.

[0062] To address the low temperature of -15℃ in mountainous areas, the protective shell 1 of the fog permeator was modified for cold protection: the thickness of the silicone sealing ring was increased, upgrading IP67 to IP68 for short-term water immersion, and a built-in semiconductor heating element was added to automatically start when the temperature is ≤-10℃ to maintain the component operating temperature >0℃;

[0063] Adjusting four parameters of the millimeter-wave radar: Due to the high reflectivity of icy and snowy roads, the FMCW modulation period was extended from 50ms to 80ms to reduce false echo interference.

[0064] Start the equipment to enter "inspection mode":

[0065] AI Low Light Camera 2 automatically reduces exposure compensation, clearly presenting the grayscale value distinction of icy areas;

[0066] The thermal imaging camera 3 focuses on monitoring tunnel entrances where large temperature differences make them prone to condensation and fogging. When it detects abnormal temperature points, such as areas with water accumulation or ice formation, the main unit marks them as "potential slippage risks" and pushes the information to the display screen.

[0067] Millimeter-wave radar 4 detected a vehicle skidding in the oncoming lane, approximately 60 meters away, with a sudden change in relative speed, immediately triggering a two-way warning:

[0068] The in-vehicle FCW warning has been upgraded to "voice + seat vibration" to alert the driver to take emergency evasive action;

[0069] Laser warning device 5 switches to "full red high-frequency pulse mode" to penetrate rain and snow and warn oncoming vehicles.

[0070] The host computer synchronously uploads data on "location of icy road sections and slippage events" to the management platform to assist in activating the "snow melting agent application - traffic control" joint emergency plan.

[0071] Special scenario technology verification

[0072] Low temperature environment adaptability: After running continuously for 4 hours at -15℃, the equipment showed no frost and no circuit abnormalities, and the temperature compensation algorithm of the thermal imaging camera was effective.

[0073] Snow and ice scene detection: The accuracy of icy road surface recognition has been greatly improved, and the radar false echo suppression rate has been significantly improved;

[0074] Multi-directional early warning collaboration: Two-way laser warning + in-vehicle multimodal warning successfully avoided 3 potential collisions, verifying the safety protection logic in extreme scenarios.

[0075] For those skilled in the art, other variations or modifications can be made based on the above description. It is neither necessary nor possible to exhaustively list all possible implementations here, and any obvious variations or modifications derived therefrom are still within the protection scope of this utility model.

Claims

1. A vehicle-mounted defogging device, characterized in that, The device includes a fog-penetrating device protective shell (1) installed at the front of the vehicle, a main unit inside the vehicle, and a display screen. The front of the fog-penetrating device protective shell (1) is sequentially equipped with an AI low-light starlight-level full-color camera (2), a high-performance thermal imaging camera (3), and a millimeter-wave radar (4). The rear of the fog-penetrating device protective shell (1) is equipped with a laser warning device (5). The AI ​​low-light starlight-level full-color camera (2), the high-performance thermal imaging camera (3), the millimeter-wave radar (4), and the laser warning device (5) are electrically connected to the main unit, and the main unit is electrically connected to the display screen. The AI ​​low-light starlight full-color camera (2) is used to capture high-definition images in the absence of light at night. The high-performance thermal imaging camera (3) is used to penetrate smoke or fog and image. The millimeter-wave radar (4) is used to detect obstacles and provide feedback on their precise location. The host is used to integrate the data from the AI ​​low-light starlight full-color camera (2), the high-performance thermal imaging camera (3), and the millimeter-wave radar (4) and present them to the user through the display screen. The laser warning device is installed on the back of the fog penetrator protective housing (1) and includes three parallel laser emitters, which are controlled by the host to warn and guide vehicles behind.

2. The on-board fog meter of claim 1, wherein, The AI ​​low-light starlight-level full-color camera (2) and the high-performance thermal imaging camera (3) adopt dual-spectrum fusion technology, which can effectively detect and image a distance of 300 meters in front of them at night and in foggy weather with extremely low visibility.

3. The on-board fog meter of claim 1, wherein, The millimeter-wave radar uses FMCW modulation mode, which can accurately measure the distance to obstacles in front within the measurement range, issue a warning to the driver in the first 1.5 seconds, and detect objects around the vehicle and the distance between the vehicle and the target vehicle in real time. When the safe distance is less than the threshold, an alarm is issued.

4. The on-board fog meter of claim 1, wherein, The display screen is a 12-inch smart display screen, and the host is a multi-functional host. The host is equipped with severe weather road patrol system software to assist in patrolling roads under various severe weather and extreme scenarios.

5. The on-board fog meter of claim 1, wherein, The high-performance thermal imaging camera (3) can penetrate smoke or fog to image the host in all weather conditions.

6. The on-board fog meter of claim 1, wherein, The vehicle-mounted fog penetrator is suitable for patrolling or rescue operations in extreme weather conditions such as rain, snow, fog, smoke, and fire scenes, when highways are closed.

7. The on-board fog meter of claim 1, wherein, The millimeter-wave radar (4) integrates the FCW forward collision warning function, which can monitor the distance, angle and relative speed of the vehicle in front in real time. When it is determined that there is a potential collision hazard, it will issue an alarm to the driver through sound or visual signals.

8. The on-board fog meter of claim 1, wherein, A power supply interface (6) is provided below the laser warning device (5).

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