Safe driving early warning system based on vehicle camera device

Abstract

The invention, which relates to the technical field of the vehicle safe driving technology, discloses a safe driving early warning system based on a vehicle camera device, comprising a data acquisition module, a data analysis module, a sound-light alarm and feedback detection module, a touch alarm module and an SQL database. Whether the voice broadcast and visual prompt function fails or not can be effectively judged, danger information is fed back in time and the tactile alarm module is triggered once the voice broadcast and visual prompt function fails, it is ensured that a driver can obtain early warning information in time, seat vibration is reminded in a regional mode through the tactile alarm module, the driver is made to rapidly distinguish the danger situation, and the driver experience is improved. The vibration of the steering wheel can be adjusted according to the pressure between the palm of the driver and the steering wheel, it is ensured that under the condition of different pressures, the vibration strength of the steering wheel can make the driver clearly feel reminding, the time for the driver to obtain danger information is shortened, and the driving safety is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of vehicle safe driving, and in particular to a safe driving warning system based on a vehicle camera device. Background Art

[0002] With the rapid development of the automobile industry and the increasing road traffic volume, traffic safety issues have become increasingly prominent. In recent years, the development of camera technology has brought new opportunities to the field of vehicle safety warning. Camera equipment can provide vehicles with more detailed and intuitive environmental perception. Vehicle safety warning systems based on camera technology have gradually become a hot spot for research and application.

[0003] Existing technology, such as the invention patent application with publication number CN110228416B, discloses a warning system and method based on driver's turning visual blind spot detection, the method including: the invention can reduce the impact of visual blind spots on the driver, facilitate obstacle avoidance, reduce the occurrence of traffic accidents, and improve vehicle driving safety.

[0004] Existing technology, such as a safe driving management service system disclosed in an invention patent application with publication number CN113978356A, includes: the safe driving management service system can monitor and issue warnings in real time on the vehicle's lane-changing hazards, the driver's fatigue driving hazards, and the danger of making phone calls to ensure safety.

[0005] The above solution has at least the following shortcomings: 1. In the vehicle warning system, excessive reliance is placed on voice broadcasts and visual prompts to remind the driver of danger. If the voice broadcast and visual prompt functions fail to provide timely feedback to the backup warning channel, the driver may not be able to obtain danger information in a timely manner, thereby reducing driving safety.

[0006] 2. When vehicle warning systems use tactile sensors to alert drivers of danger, they usually use seat vibration and steering wheel vibration to remind drivers of danger. However, a single vibration reminder mode is often used. The seat vibration reminder cannot enable the driver to distinguish dangerous situations in a timely manner. At the same time, the steering wheel vibration intensity cannot be adjusted according to the pressure between the driver's palm and the steering wheel. If the intensity is insufficient when the pressure is high, it will affect the length of time the driver needs to obtain danger information. Summary of the Invention

[0007] The purpose of the present invention is to provide a safe driving warning system based on a vehicle camera device, which solves the problems existing in the background technology.

[0008] In order to solve the above technical problems, the present invention adopts the following technical solution: The present invention provides a safe driving warning system based on a vehicle camera device, including: a data acquisition module, which is used to collect data from the vehicle camera device and the sensor device in real time during the monitoring time period during the vehicle reversing process.

[0009] The data analysis module is used to analyze the obstacle contact warning level of each target direction of the vehicle.

[0010] The sound and light alarm and feedback detection module is used to determine whether corresponding warnings are needed for each target direction of the vehicle. If necessary, the danger signal is transmitted to the driver through voice broadcast and visual prompts, and it is determined whether the warning is triggered normally. If not, the tactile alarm module is triggered.

[0011] The tactile alarm module is used to vibrate the driver's seat and the steering wheel to remind them when the warning signal is not triggered normally.

[0012] The beneficial effects of the present invention are: (1) the data acquisition module and data analysis module of the present invention are integrated with the sound and light alarm and feedback detection module, which can effectively determine whether the voice broadcast and visual prompt functions are invalid. Once a fault is detected, the danger information will be fed back to the backup warning channel in time to trigger the tactile warning module, ensuring that the driver can obtain the warning information in time.

[0013] (2) The tactile alarm module of the present invention can provide reminders by dividing the seat vibration into different areas when vibrating the seat, so that the driver can quickly distinguish dangerous situations. The vibration of the steering wheel can be adjusted according to the pressure between the driver's palm and the steering wheel, ensuring that under different pressures, the intensity of the steering wheel vibration can enable the driver to clearly feel the reminder, shortening the time it takes for the driver to obtain dangerous information, thereby improving driving safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0015] Figure 1 Schematic diagram of the system module of the present invention.

[0016] Figure 2 This is a schematic diagram of the seat vibration zones of the present invention.

[0017] Reference numerals: 100, core sensing area; 101, lumbar spine area; 102, hip area; 200, auxiliary sensing area; 201, flank area; 202, thigh support area. DETAILED DESCRIPTION

[0018] 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 making creative efforts are within the scope of protection of the present invention.

[0019] Reference Figure 1 As shown, the present invention provides a safe driving warning system based on a vehicle camera device, comprising: a data acquisition module, a data analysis module, an audio and visual alarm and feedback detection module, a tactile alarm module and an SQL database.

[0020] It should be noted that the SQL database is connected to the data acquisition module, the data analysis module, the sound and light alarm and feedback detection module and the tactile alarm module, the data acquisition module is connected to the data analysis module, the data analysis module is connected to the sound and light alarm and feedback detection module, and the sound and light alarm and feedback detection module is connected to the tactile alarm module.

[0021] It should also be noted that the SQL database is used to store the volume values ​​corresponding to each collision duration interval of the vehicle, the age of the vehicle driver, the short-time zero-crossing rate safety threshold of the vehicle's speakers, the threat frame number threshold, the start time point of each historical monitoring time period, the factory time point, the theoretical current change rate corresponding to each duration interval, the time point of the current monitoring time period, the factory current value of the vehicle's warning light, the current value at the start time point of each historical monitoring time period, the gravitational acceleration and the total reaction time of the vehicle driver, the first-level pressure threshold between the driver's palm and the steering wheel, the second-level pressure threshold and the third-level pressure threshold and the steering wheel vibration adjustment parameter values ​​for each pressure level.

[0022] In a specific embodiment of the present invention, the data acquisition module is used to collect data from the vehicle camera device and the sensor device in real time during a monitoring period when the vehicle is reversing.

[0023] The data analysis module is used to analyze the obstacle contact warning level of each target direction of the vehicle.

[0024] The real-time data collection of the vehicle camera device and the sensor device is specifically carried out as follows: a camera, a distance sensor and a radar are installed in each target direction of the vehicle, the position information of the obstacles in each target direction of the vehicle is obtained through the camera, and then the relative distance value between the vehicle and the obstacles in each target direction is obtained according to the distance sensor, and the speed value of the vehicle is obtained through the vehicle management terminal.

[0025] It should be noted that the target direction refers to the area in the space around the vehicle that needs to be monitored. These areas are directly related to the vehicle's driving direction and collision risk. By dividing the target direction, the area where the obstacle is located can be quickly obtained.

[0026] In a specific embodiment of the present invention, the obstacle collision warning level of each target direction of the vehicle is analyzed in the following manner: and vehicle speed value , where n represents the number of each target direction, , y is a positive integer greater than 2, and the collision duration of each target direction to which the vehicle belongs is calculated: .

[0027] Analyze the total reaction time of the vehicle driver and calculate the first-level collision time threshold based on it , Secondary collision duration threshold Level 3 collision duration threshold , analyze the obstacle contact warning level of each target direction of the vehicle .

[0028] The specific method for determining whether a corresponding warning is required for each target direction of the vehicle is as follows: screening the target direction with the shortest collision time of the vehicle, and marking this target direction as the collision direction of the vehicle.

[0029] The volume value corresponding to each collision duration interval is obtained from the SQL database. According to the collision duration of the collision direction of the vehicle, the volume value of the collision direction of the vehicle is mapped.

[0030] When the obstacle contact warning level of each target direction of the vehicle is 3, it is determined that the vehicle does not need a warning in that target direction.

[0031] When the obstacle contact warning level in each target direction of the vehicle is 2, it is determined that the vehicle needs to be warned in the target direction, and the warning light on the vehicle display screen will be used to prompt.

[0032] When the obstacle collision warning level in each target direction of the vehicle is 1, a reminder will be given through voice broadcast, and the volume of the voice broadcast will be adjusted according to the volume value of the collision direction of the vehicle.

[0033] When the obstacle collision warning level in each target direction of the vehicle is 0, a reminder will be given simultaneously through voice broadcast and visual prompts. At the same time, the volume of the voice broadcast will be adjusted according to the volume value of the collision direction to which the vehicle belongs.

[0034] It should be noted that the first-level collision time threshold, the second-level collision time threshold and the third-level collision time threshold, the first-level collision time threshold is smaller than the second-level collision time threshold, the second-level collision time threshold is smaller than the third-level collision time threshold, the first-level collision time threshold is consistent with the total reaction time of the vehicle driver, the second-level collision time threshold and the third-level collision time threshold have a certain multiple relationship with the total reaction time of the vehicle driver, such as: the second-level collision time threshold is 1.2 times the total reaction time of the vehicle driver, and the third-level collision time threshold is 1.4 times the total reaction time of the vehicle driver, which can be set by the staff.

[0035] In a specific embodiment of the present invention, the sound and light alarm and feedback detection module is used to determine whether corresponding warnings are needed for each target direction of the vehicle. If necessary, the danger signal is transmitted to the driver through voice broadcast and visual prompts, and it is determined whether the warning is triggered normally. If not, the tactile alarm module is triggered.

[0036] The specific method for analyzing the total reaction time of the vehicle driver is to obtain the age of the vehicle driver from the SQL database. , According to the reaction time corresponding to each age range, the basic reaction time of the driver of the vehicle is mapped , obtain the real-time fatigue level of the vehicle driver through the camera and sensor device and road condition ratings , calculate the total reaction time of the vehicle driver ,in are the influence coefficients of age, fatigue level and road conditions respectively.

[0037] In a specific embodiment, the real-time fatigue level of the vehicle driver and the road condition score are obtained by the following specific method: the existing real-time fatigue level technology and road scoring technology are relatively mature. The real-time fatigue level of the vehicle driver can be obtained by analyzing facial expressions through existing facial imaging technology. The road surface is scanned by existing lidar to generate actual measurement point data, and then compared and analyzed with cloud data to obtain the road condition score.

[0038] It should be noted that, according to historical data, the influence coefficients of age, fatigue level and road conditions show a trend of "high at both ends and stable in the middle". The main reason for young drivers is insufficient driving experience and large emotional fluctuations. The influence coefficient of elderly drivers is higher due to the decline of physical function. The influence coefficient of driver fatigue level is affected by the driver's driving time and sleep quality. When the driver's continuous driving time exceeds 4 hours, the coefficient of fatigue level increases. The smoothness and anti-skid performance of the road will affect the influence coefficient of road conditions. The better the smoothness and anti-skid performance of the road, the lower the influence coefficient of road conditions.

[0039] In a specific embodiment of the present invention, the specific method for determining whether the warning is triggered normally is: obtaining the average current value generated by the warning light of the vehicle at each monitoring time point during the monitoring period. , Represents the number of the vehicle's warning light monitoring time point, where , is a positive integer greater than 30. Calculate the average current value generated by the vehicle's warning light during the monitoring period. , Represents the number of monitoring time points of the vehicle's warning lights.

[0040] Analyze the threshold value of the rate of change of the current generated by the vehicle's warning light during the monitoring period , calculate the rate of change of the current value of the warning light of the vehicle after the collision warning under normal power supply state: , where I represents the current value of the vehicle's warning light after triggering the warning within the monitoring period. The fault level of the vehicle's warning light is analyzed as follows: .

[0041] The specific method for determining whether the voice broadcast is normal is as follows: obtaining the short-time zero-crossing rate safety threshold T of the vehicle's speaker from the SQL database, and analyzing the short-time zero-crossing rate of each frame of the vehicle's speaker during the monitoring period: ,in A discrete signal representing the speaker belonging to the vehicle will be Perform frame processing, The frame signal is , c represents the number of the discrete signal sampling points of the vehicle's speakers, , is a positive integer, i represents the serial number of each frame of the discrete signal of the vehicle's loudspeaker, , , where k is the total number of frames, , L represents the frame length.

[0042] The short-time zero-crossing rate safety value of the vehicle's speaker is compared with the short-time zero-crossing rate of each frame. If the short-time zero-crossing rate of a frame of the vehicle's speaker is less than the short-time zero-crossing rate safety value, the frame is marked as a threat frame. Thus, the threat frames of the vehicle's speaker are obtained, and the number of threat frames of the vehicle's speaker is counted. The threat frame number threshold is obtained from the SQL database. If the number of threat frames of the vehicle's speaker is greater than the threat frame number threshold, it is determined that the voice broadcast has a fault; otherwise, it is determined that the voice broadcast is normal.

[0043] When the fault level of the vehicle's warning light is 0, it is determined whether the voice broadcast is normal. If not, it is determined that the warning is not triggered normally. When the fault level of the vehicle's warning light is 1, the warning is triggered normally.

[0044] It should be noted that the short-time zero-crossing rate refers to the number of times the waveform crosses the zero-value horizontal axis in a frame of voice signal. For discrete signals, it is counted by calculating the number of times the signs of adjacent sampling points change (for example, if the previous point is positive and the next one is negative, it is counted as one zero crossing). The short-time zero-crossing rate can be used to determine whether the voice broadcast is interrupted.

[0045] It should be noted that the total number of frames refers to the total number of discrete frames obtained by dividing the continuous audio signal according to the number of sampling points based on the discrete signals of the speakers belonging to the vehicle.

[0046] The data acquisition module and data analysis module of the present invention are integrated with the sound and light alarm and feedback detection module. They can effectively determine whether the voice broadcast and visual prompt functions are invalid. Once a fault is detected, the danger information will be fed back to the backup warning channel in time to trigger the tactile warning module, ensuring that the driver can obtain the warning information in time.

[0047] In a specific embodiment of the present invention, the analysis of the change rate threshold of the current generated by the warning light of the vehicle during the monitoring time period is carried out by: obtaining the starting time point and the factory time point of each historical monitoring time period from the SQL database, and calculating the target duration of each historical monitoring time period based on this; obtaining the starting time point and the factory time point of each historical monitoring time period from the SQL database, and calculating the target duration of each historical monitoring time period based on this; obtaining the theoretical current change rate corresponding to each time interval from the SQL database, and mapping the theoretical current change rate of the warning light of the vehicle during each historical monitoring time period. , where q represents the number of each historical monitoring time period, , The time point of the current monitoring period is obtained from the SQL database. The target duration of the current monitoring period is obtained by subtracting the factory time point from the time point of the current monitoring period. The theoretical current change rate of the warning light of the vehicle in the current monitoring period is mapped. , get the factory current value of the vehicle's warning light from the SQL database , the current value at the start time of each historical monitoring period , calculate the actual current change rate during each historical monitoring period , calculate the fluctuation coefficient of the current change rate of the vehicle's warning light in each historical time period , calculate the average fluctuation of the vehicle's warning light current change rate , is the total number of historical monitoring time periods, and based on this, the current change rate threshold generated by the vehicle's warning light is calculated .

[0048] It should be noted that the target duration refers to the difference between the start time of each historical monitoring period and the factory departure time.

[0049] In a specific embodiment of the present invention, the tactile alarm module is used to remind the driver by vibrating the seat and the steering wheel when the warning signal is not triggered normally.

[0050] The specific method of performing seat vibration is to obtain the road friction coefficient from the sensor installed on the wheel hub. , get the acceleration of gravity from the SQL database Total reaction time with the vehicle driver , calculate the braking distance of the vehicle ,in Represents the vehicle's initial speed and calculates the total distance traveled from the moment the driver realizes the danger to the moment the vehicle comes to a complete stop. .

[0051] According to the relative distance values ​​between obstacles in each target direction of the vehicle, the relative distance value in the collision direction of the vehicle is extracted. , calculate the seat vibration intensity in the collision direction of the vehicle: .

[0052] The seat is divided into a core sensing area and an auxiliary sensing area. The core sensing area includes the lumbar area and the hip area, and the auxiliary sensing area includes the shoulder side area and the thigh support area.

[0053] When an obstacle is directly behind the vehicle, the vibration device in the core sensing area of ​​the seat is activated, with the vibration intensity in the lumbar area being greater than that in the buttocks area.

[0054] When the obstacle is at the left rear of the vehicle, the vibration device of the seat auxiliary sensing area will be activated, among which the vibration intensity of the left shoulder wing and left leg area is greater than that of the right shoulder wing and right leg area, and the same applies to the right rear.

[0055] The specific method of vibrating the steering wheel is to obtain the first-level pressure threshold between the driver's palm and the steering wheel from the SQL database. , Secondary pressure threshold With three-level pressure threshold , obtain the vehicle steering wheel force arm based on the sensor device Steering resistance torque , calculates the pressure between the vehicle driver's palm and the steering wheel , analyzing the pressure level between the driver's palm and the steering wheel , obtain the steering wheel vibration adjustment parameter values ​​of each pressure level from the SQL database, and thus obtain the steering wheel vibration adjustment parameter values ​​of the driver .

[0056] According to the obstacle contact warning level of each target direction of the vehicle, the warning level adjustment parameter value of the collision direction of the vehicle is obtained. , and accordingly set the vibration level of the steering wheel to .

[0057] In a specific embodiment, the method for obtaining the road friction coefficient is as follows: obtaining the vehicle speed value according to the sensor device on the vehicle and wheel angular velocity The data, combined with the wheel radius r, can be used to calculate the vehicle slip rate , and then by combining the road conditions to obtain ,in are the relevant parameters of the existing road conditions. When the road surface is in a dry state, the road friction coefficient reaches a peak value when the slip rate is 15%~20%, and then the road friction coefficient will slowly decrease. When the road surface is in a wet state, the road friction coefficient reaches a peak value when the slip rate is 5%~10%, and then the road friction coefficient will decrease rapidly, thus obtaining a nonlinear relationship between the road friction coefficient and the slip rate. The road friction coefficient first rises to a peak value with the increase of the slip rate, and then gradually decreases.

[0058] Reference Figure 2 As shown, it should be noted that the core sensing area and the auxiliary sensing area, wherein the core sensing area includes the lumbar area and the buttocks area, and the auxiliary sensing area includes the shoulder flank area and the thigh support area, specifically refers to dividing the vehicle seat into two parts: the backrest and the seat cushion. The lumbar area is located in the middle and lower part of the backrest, accounting for 35% to 40% of the total height of the backrest; the buttocks area is located in the rear area of ​​the seat cushion, accounting for 60% to 65% of the total length of the seat cushion; the shoulder flank area is divided into two symmetrical parts, located on both sides of the upper part of the backrest and above the lumbar area, accounting for 20% to 25% of the total height of the backrest; the thigh support area is located in the front area of ​​the seat cushion, accounting for 35% to 40% of the total length of the seat cushion.

[0059] The tactile alarm module of the present invention divides the seat vibration into areas for reminders when the seat vibrates, which enables the driver to quickly distinguish dangerous situations. The vibration of the steering wheel can be adjusted according to the pressure between the driver's palm and the steering wheel, ensuring that under different pressures, the intensity of the steering wheel vibration can enable the driver to clearly feel the reminder, shortening the time it takes for the driver to obtain danger information, thereby improving driving safety.

[0060] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the described specific embodiments or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they should all fall within the scope of protection of the present invention.

Claims

1. A safe driving warning system based on a vehicle camera device, characterized in that: include: A data acquisition module is used to collect data from the vehicle's camera and sensor devices in real time during the monitoring period while the vehicle is reversing; Data analysis module, used to analyze the obstacle contact warning level of each target direction of the vehicle; The sound and light alarm and feedback detection module is used to determine whether a corresponding warning is needed for each target direction of the vehicle. If necessary, the danger signal is transmitted to the driver through voice broadcast and visual prompts, and it is determined whether the warning is triggered normally. If not, the tactile alarm module is triggered; The tactile alarm module is used to vibrate the driver's seat and the steering wheel to remind them when the warning signal is not triggered normally.

2. A safe driving warning system based on a vehicle camera device according to claim 1, characterized in that: The real-time data collection of the vehicle camera device and the sensor device is specifically carried out as follows: Cameras, distance sensors and radars are installed in each target direction of the vehicle. The position information of obstacles in each target direction of the vehicle is obtained through the camera, and then the relative distance value between the vehicle and the obstacles in each target direction is obtained according to the distance sensor, and the vehicle speed value is obtained through the vehicle management terminal.

3. A safe driving warning system based on a vehicle camera device according to claim 2, characterized in that: The obstacle collision warning level of each target direction of the vehicle is analyzed in the following specific analysis methods: Based on the relative distance between the vehicle and obstacles in each target direction and vehicle speed value , where n represents the number of each target direction, , y is a positive integer greater than 2, calculate the collision time of each target direction to which the vehicle belongs ; Analyze the total reaction time of the vehicle driver and calculate the first-level collision time threshold based on it , Secondary collision duration threshold Level 3 collision duration threshold , analyze the obstacle contact warning level of each target direction of the vehicle .

4. The safe driving warning system based on a vehicle camera device according to claim 1, characterized in that: The specific method for determining whether a warning corresponding to each target direction of the vehicle is required is as follows: Filter the target direction with the shortest collision time of the vehicle and mark this target direction as the collision direction of the vehicle; Obtain the volume value corresponding to each collision duration interval from the SQL database, and map the volume value of the collision direction to which the vehicle belongs based on the collision duration of the collision direction; When the obstacle contact warning level in each target direction of the vehicle is 3, it is determined that the vehicle does not need a warning in that target direction; When the obstacle contact warning level in each target direction of the vehicle is 2, it is determined that the vehicle needs to be warned in the target direction, and the warning light on the vehicle display screen will be used to prompt; When the obstacle collision warning level in each target direction of the vehicle is 1, a voice announcement will be given as a reminder, and the volume of the voice announcement will be adjusted according to the volume of the collision direction of the vehicle; When the obstacle collision warning level in each target direction of the vehicle is 0, a reminder will be given simultaneously through voice broadcast and visual prompts. At the same time, the volume of the voice broadcast will be adjusted according to the volume value of the collision direction to which the vehicle belongs.

5. A safe driving warning system based on a vehicle camera device according to claim 4, characterized in that: The specific method for analyzing the total reaction time of the vehicle driver is as follows: Get the age of the vehicle driver from the SQL database , According to the reaction time corresponding to each age range, the basic reaction time of the driver of the vehicle is mapped , obtain the real-time fatigue level of the vehicle driver through the camera and sensor device and road condition ratings , calculate the total reaction time of the vehicle driver ,in are the influence coefficients of age, fatigue level and road conditions respectively.

6. A safe driving warning system based on a vehicle camera device according to claim 5, characterized in that: The specific method of judging whether the warning is triggered normally is: Get the average current value generated by the vehicle's warning light at each monitoring time point during the monitoring period , Represents the number of the vehicle's warning light monitoring time point, where , is a positive integer greater than 30. Calculate the average current value generated by the vehicle's warning light during the monitoring period. , Represents the number of monitoring time points of the vehicle's warning lights; Analyze the threshold value of the rate of change of the current generated by the vehicle's warning light during the monitoring period , calculate the rate of change of the current value of the warning light of the vehicle after the collision warning under normal power supply state: , where I represents the current value of the vehicle's warning light after triggering the warning within the monitoring period. The fault level of the vehicle's warning light is analyzed as follows: ; When the fault level of the vehicle's warning light is 0, it is determined whether the voice broadcast is normal. If not, it is determined that the warning was not triggered normally; When the vehicle's warning light level is 1, the early warning is triggered normally.

7. A safe driving warning system based on a vehicle camera device according to claim 6, characterized in that: The analysis is performed on the threshold value of the rate of change of the current generated by the warning light of the vehicle during the monitoring period. The specific analysis method is as follows: The start time and factory time of each historical monitoring period are obtained from the SQL database, and the target duration of each historical monitoring period is calculated based on this. The theoretical current change rate corresponding to each duration interval is obtained from the SQL database, and the theoretical current change rate of the vehicle's warning light in each historical monitoring period is mapped. , where q represents the number of each historical monitoring time period, , The time point of the current monitoring period is obtained from the SQL database. The target duration of the current monitoring period is obtained by subtracting the factory time point from the time point of the current monitoring period. The theoretical current change rate of the warning light of the vehicle in the current monitoring period is mapped. , get the factory current value of the vehicle's warning light from the SQL database , the current value at the start time of each historical monitoring period , calculate the actual current change rate during each historical monitoring period , calculate the fluctuation coefficient of the current change rate of the vehicle's warning light in each historical time period , calculate the average fluctuation of the vehicle's warning light current change rate , is the total number of historical monitoring time periods, and based on this, the current change rate threshold generated by the vehicle's warning light is calculated .

8. The safe driving warning system based on a vehicle camera device according to claim 6, characterized in that: The specific method for judging whether the voice broadcast is normal is as follows: Obtain the short-time zero-crossing rate safety threshold T of the vehicle's speakers from the SQL database, and analyze the short-time zero-crossing rate of each frame of the vehicle's speakers during the monitoring period: ,in A discrete signal representing the speaker belonging to the vehicle will be Perform frame processing, The frame signal is , c represents the number of the discrete signal sampling points of the vehicle's speakers, , is a positive integer, i represents the serial number of each frame of the discrete signal of the vehicle's loudspeaker, , , where k is the total number of frames, , L represents the frame length; The short-time zero-crossing rate safety value of the vehicle's speaker is compared with the short-time zero-crossing rate of each frame. If the short-time zero-crossing rate of a frame of the vehicle's speaker is less than the short-time zero-crossing rate safety value, the frame is marked as a threat frame. Thus, the threat frames of the vehicle's speaker are obtained, and the number of threat frames of the vehicle's speaker is counted. The threat frame number threshold is obtained from the SQL database. If the number of threat frames of the vehicle's speaker is greater than the threat frame number threshold, it is determined that the voice broadcast has a fault; otherwise, it is determined that the voice broadcast is normal.

9. The safe driving warning system based on a vehicle camera device according to claim 8, characterized in that: The specific method of performing seat vibration is as follows: Obtaining the road friction coefficient from sensors mounted on the wheel hub , get the acceleration of gravity from the SQL database Total reaction time with the vehicle driver , calculate the braking distance of the vehicle ,in Represents the vehicle's initial speed and calculates the total distance traveled from the moment the driver realizes the danger to the moment the vehicle comes to a complete stop. ; According to the relative distance values ​​between obstacles in each target direction of the vehicle, the relative distance value in the collision direction of the vehicle is extracted. , calculate the seat vibration intensity in the collision direction of the vehicle: ; The seat is divided into a core sensing area and an auxiliary sensing area. The core sensing area includes the lumbar spine and hip area, while the auxiliary sensing area includes the shoulder side area and thigh support area. When an obstacle is directly behind the vehicle, the vibration device in the core sensing area of ​​the seat is activated, with the vibration intensity in the lumbar area being greater than that in the hip area. When the obstacle is at the left rear of the vehicle, the vibration device of the seat auxiliary sensing area will be activated, among which the vibration intensity of the left shoulder wing and left leg area is greater than that of the right shoulder wing and right leg area, and the same applies to the right rear.

10. A safe driving warning system based on a vehicle camera device according to claim 9, characterized in that: The specific method of vibrating the steering wheel is as follows: Obtain the first-level pressure threshold between the driver's palm and the steering wheel from the SQL database , Secondary pressure threshold With three-level pressure threshold , obtain the vehicle steering wheel force arm based on the sensor device Steering resistance torque , calculates the pressure between the vehicle driver's palm and the steering wheel , analyzing the pressure level between the driver's palm and the steering wheel , obtain the steering wheel vibration adjustment parameter values ​​of each pressure level from the SQL database, and thus obtain the steering wheel vibration adjustment parameter values ​​of the driver ; According to the obstacle contact warning level of each target direction of the vehicle, the warning level adjustment parameter value of the collision direction of the vehicle is obtained. , and accordingly set the vibration level of the steering wheel to .

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