Drunk driving prevention automatic control equipment

Abstract

The invention relates to the technical field of vehicle control, in particular to drunk driving prevention automatic control equipment. The device comprises an alcohol detection module, a face tracking recognition module, a controller and a vehicle starting control module. The alcohol detection module is used for measuring the alcohol concentration of the driver to obtain first alcohol concentration data of the driver, and is used for measuring the alcohol concentration of the driver for the second time based on the alcohol concentration measurement requirement signal to obtain second alcohol concentration data; the face tracking and recognition module is used for acquiring a face image of a driver based on an image acquisition instruction during driving so as to obtain driving portrait data, and comparing the driving portrait data with standard portrait data so as to obtain a comparison result; the controller is used for judging whether the obtained alcohol concentration data exceed a preset drunk driving threshold value or not, if yes, a starting forbidding signal is sent to the vehicle starting control module, and the vehicle starting control module is used for controlling starting of the vehicle.

Description

Technical Field

[0001] The present invention relates to the technical field of vehicle control, and in particular to automatic control equipment for preventing drunk driving. Background Art

[0002] As cars become increasingly important to human life, they have become an indispensable and fast means of transportation in people's work and life. Although cars have brought convenience to humans, they have also brought many unsafe factors, especially the problem of drunk driving. According to the "Global Status Report on Road Safety" released by WHO, at least 1.27 million people die each year in the world due to traffic accidents. Among them, traffic accidents caused by drunk driving account for 50% to 60% of the total. Only 34 countries (representing 2.1 billion people) have drunk driving laws that meet best practices.

[0003] Since the problem of drunk driving is quite prominent, various anti-drunk driving devices have appeared on vehicles. The existing technology usually performs an alcohol test before the vehicle is started to determine whether the current driver has excessive alcohol. However, after the vehicle is started, no other monitoring and management is performed. If the driver changes during the driving of the vehicle, it cannot be monitored. In order to solve this technical problem, an automatic control device for anti-drunk driving is proposed. Summary of the invention

[0004] In order to solve the technical problems existing in the above-mentioned prior art, the present invention provides an automatic control device for preventing drunk driving.

[0005] To achieve the above objectives, the embodiments of the present invention provide the following technical solutions:

[0006] In a first aspect, in an embodiment provided by the present invention, an automatic control device for preventing drunk driving is provided, the device comprising: an alcohol detection module, a face tracking and recognition module, a controller and a vehicle start control module; the alcohol detection module, the face tracking and recognition module and the vehicle start control module are all connected to the controller;

[0007] The alcohol detection module is used to measure the alcohol concentration of the driver to obtain first alcohol concentration data of the driver, and is used to measure the alcohol concentration of the driver for a second time based on the alcohol concentration measurement request signal to obtain second alcohol concentration data;

[0008] The face tracking and recognition module is used to acquire a face image when the driver is measuring the alcohol concentration to obtain standard portrait data; it is also used to acquire the driver's face image based on the image acquisition instruction when driving to obtain driving portrait data, and compare the driving portrait data with the standard portrait data to obtain a comparison result;

[0009] The controller is used to determine whether the acquired alcohol concentration data exceeds a preset drunk driving threshold, and if so, to send a prohibition start signal to the vehicle start control module, and if not, to send a permission start signal to the vehicle start control module; to send an image acquisition instruction to the face tracking and recognition module when obtaining a driver change signal; based on the comparison result, if it is determined that the driver is not the first alcohol concentration data acquisition object, a warning signal is issued, and an alcohol concentration measurement request signal is issued at the same time; it is also used to control the vehicle to stop driving within a preset time if the second alcohol concentration data measured by the driver exceeds the preset drunk driving threshold; if the driver does not measure the alcohol concentration within the prescribed time, the vehicle is controlled to stop driving within a preset time; if the second alcohol concentration data measured by the driver does not exceed the preset drunk driving threshold, the standard portrait data is updated to the most recent driver portrait data;

[0010] The vehicle start control module is used to control the start of the vehicle.

[0011] As a further solution of the present invention, the face tracking and recognition module includes an image acquisition unit, a face tracking unit and a face recognition unit;

[0012] The image acquisition unit is used to acquire a facial image when the driver is measuring his alcohol concentration to obtain standard portrait data, and is also used to acquire a facial image of the driver when driving to obtain driving portrait data;

[0013] The face tracking unit is used to control the image acquisition unit to adjust the image acquisition angle so as to acquire the maximum face data;

[0014] The face recognition unit is used to compare the driving portrait data with the measured portrait data to obtain a comparison result.

[0015] As a further solution of the present invention, the face tracking unit is used to control the image acquisition unit to adjust the image acquisition angle based on the face tracking algorithm so as to acquire maximum face data.

[0016] As a further solution of the present invention, the face tracking algorithm is a YOLOX-Nano algorithm.

[0017] As a further solution of the present invention, the face tracking unit includes a coordinate calculation subunit, an adjustment deviation calculation subunit and a control subunit;

[0018] The coordinate calculation subunit is used to establish a two-dimensional coordinate system from the collected image. The face tracking algorithm uses the collected image to calculate the face center coordinates, the maximum coordinates of the upper right corner of the image, and the coordinates of the center point of the image;

[0019] The adjustment deviation calculation subunit is used to calculate the adjustment deviation between the center of the face in the image and the center point of the image based on the coordinates of the center of the face and the coordinates of the center point of the image;

[0020] The control subunit calculates the rotation angle of the image acquisition unit based on the adjustment deviation, and adjusts the position of the image acquisition unit based on the rotation angle.

[0021] As a further solution of the present invention, the relationship between the maximum coordinates of the upper right corner of the image and the coordinates of the center point of the image is expressed as:

[0022]

[0023] Where Q(x) represents the horizontal coordinate of the image center point, Q(y) represents the vertical coordinate of the image center point, and W m It is expressed as the horizontal coordinate of the maximum coordinate of the upper right corner of the image, H m Expressed as the ordinate of the maximum coordinate of the upper right corner of the image.

[0024] As a further solution of the present invention, the adjustment deviation includes the deviation of the horizontal coordinate between the face center and the image center point and the deviation of the vertical coordinate between the face center and the image center, wherein the calculation formula of the whole deviation is as follows:

[0025]

[0026] In the formula, dW represents the deviation of the horizontal coordinate between the center of the face and the center of the image, dH represents the deviation of the vertical coordinate between the center of the face and the center of the image, P(x) represents the horizontal coordinate of the face, and P(y) represents the vertical coordinate of the face.

[0027] As a further solution of the present invention, a driver change monitoring module is also included, which is used to determine whether the driver has changed during the vehicle startup process, and if a change has occurred, a driver change signal is promptly sent to the controller.

[0028] In a second aspect, in another embodiment provided by the present invention, a control method of an automatic control device for preventing drunk driving is provided, the control method comprising:

[0029] S10, measuring the alcohol concentration of the driver and acquiring an image of the driver to obtain first alcohol concentration data and standard portrait data of the driver;

[0030] S20, determining whether the first alcohol concentration data obtained exceeds a preset drunk driving threshold, and if so, issuing a prohibition start signal, and if not, issuing a permission start signal;

[0031] S30, acquiring a facial image of the driver based on the image acquisition instruction when the vehicle is traveling to obtain driving portrait data;

[0032] S40, comparing the driver portrait data with the standard portrait data to obtain a comparison result;

[0033] S50, based on the comparison result, if it is determined that the driver is not the first alcohol concentration data collection object, a warning signal is issued, and an alcohol concentration measurement request signal is issued at the same time;

[0034] S60: If the second alcohol concentration data measured by the driver exceeds the preset drunk driving threshold, the vehicle is controlled to stop driving within a preset first time; if the driver fails to measure the alcohol concentration within the prescribed time, the vehicle is controlled to stop driving within a preset second time.

[0035] As a further solution of the present invention, S70, if the second alcohol concentration data measured by the driver does not exceed the preset drunk driving threshold, the standard portrait data will be updated to the most recent driving portrait data.

[0036] The technical solution provided by the present invention has the following beneficial effects:

[0037] The present invention can detect the alcohol content of the driver before starting by setting an alcohol detection module, a face tracking and recognition module, a controller and a vehicle start control module. The driver's alcohol content can be detected before starting. The driver's image is collected during the alcohol content detection process. When it is determined that the driver has changed, the driver's change is first confirmed. If there is indeed a change, a secondary alcohol detection instruction is issued, so as to ensure that the alcohol content of the vehicle driver meets the requirements at any time. At the same time, the present invention can collect as many images of the driver as possible by setting a face tracking unit, thereby improving the accuracy in the face recognition comparison process.

[0038] These and other aspects of the present invention will be more clearly understood in the following description of the embodiments. It should be understood that the above general description and the following detailed description are only exemplary and explanatory and cannot limit the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present invention. For ordinary technicians in this field, other embodiments can be obtained based on these drawings without paying creative work.

[0040] Figure 1 The present invention is a structural block diagram of an automatic control device for preventing drunk driving according to an embodiment of the present invention.

[0041] Figure 2 This is a structural block diagram of a face tracking and recognition module in an anti-drunk driving automatic control device according to an embodiment of the present invention.

[0042] Figure 3 This is a structural block diagram of a face tracking unit in an anti-drunk driving automatic control device according to an embodiment of the present invention.

[0043] Figure 4 The present invention is a specific flow chart of a control method of an automatic control device for preventing drunk driving according to an embodiment of the present invention.

[0044] In the figure: alcohol detection module-100, face tracking and recognition module-200, controller-300, vehicle start control module-400, image acquisition unit-201, face tracking unit-202, face recognition unit-203, coordinate calculation subunit-2021, adjustment deviation calculation subunit-2022, control subunit-2023. DETAILED DESCRIPTION

[0045] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are 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 the present invention.

[0046] The flowcharts shown in the accompanying drawings are only examples and do not necessarily include all the contents and operations / steps, nor must they be executed in the order described. For example, some operations / steps may also be decomposed, combined or partially merged, so the actual execution order may change according to actual conditions.

[0047] It should be understood that the terms used in this specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. As used in the specification of the present invention and the appended claims, unless the context clearly indicates otherwise, the singular forms "a", "an" and "the" are intended to include plural forms.

[0048] Specifically, the embodiments of the present invention are further described below in conjunction with the accompanying drawings.

[0049] In one embodiment, see Figure 1 As shown, in an embodiment of the present invention, an anti-drunk driving automatic control device is also provided, which includes an alcohol detection module 100, a face tracking and recognition module 200, a controller 300 and a vehicle start control module 400. The alcohol detection module 100, the face tracking and recognition module 200 and the vehicle start control module 400 are all connected to the controller 300. The device is applied to a car.

[0050] The alcohol detection module 100 is used to measure the alcohol concentration of the driver to obtain first alcohol concentration data of the driver, and is used to measure the alcohol concentration of the driver for a second time based on the alcohol concentration measurement request signal to obtain second alcohol concentration data.

[0051] In the embodiment of the present invention, the alcohol detection module 100 can accurately detect the alcohol concentration of the driver. The alcohol detection module 100 is a prior art and will not be described in detail here.

[0052] The face tracking and recognition module 200 is used to acquire a face image when the driver is measuring his alcohol concentration to obtain standard portrait data; it is also used to acquire the driver's face image based on an image acquisition instruction while driving to obtain driving portrait data, and compare the driving portrait data with the standard portrait data to obtain a comparison result.

[0053] The face tracking and recognition module 200 collects face images based on face tracking technology, thereby increasing the range of image collection and improving the recognition rate.

[0054] In the embodiments of the present invention, see Figure 2 As shown, in an embodiment of the present invention, a structural block diagram of a face tracking and recognition module in an anti-drunk driving automatic control device is also provided. The face tracking and recognition module 200 includes an image acquisition unit 201, a face tracking unit 202 and a face recognition unit 203.

[0055] The image acquisition unit 201 is used to acquire a facial image when the driver is measuring his alcohol concentration to obtain standard portrait data, and is also used to acquire a facial image of the driver when driving to obtain driving portrait data.

[0056] The face tracking unit 202 is used to control the image acquisition unit 201 to adjust the image acquisition angle so as to acquire maximum face data.

[0057] It should be noted that the face tracking unit 202 obtains face positioning information and image center point deviation based on a face tracking algorithm, and then calculates the angle at which the image acquisition unit 201 needs to rotate, controls the steering gear to rotate, and realizes face tracking.

[0058] The face tracking algorithm is the YOLOX-Nano algorithm, which can accurately calculate coordinates.

[0059] In the embodiments of the present invention, see Figure 3 As shown, in an embodiment of the present invention, a structural block diagram of a face tracking unit in an anti-drunk driving automatic control device is also provided, wherein the face tracking unit 202 includes a coordinate calculation subunit 2021, an adjustment deviation calculation subunit 2022 and a control subunit 2023.

[0060] The coordinate calculation subunit 2021 is used to establish a two-dimensional coordinate system from the image collected by 201. The face tracking algorithm uses the collected image to calculate the face center coordinates (P(x), P(y)), where P(x) represents the horizontal coordinate of the face, P(y) represents the vertical coordinate of the face, and the maximum coordinate of the upper right corner of the image (W m ,H m ) and the image center coordinates (Q(x), Q(y)).

[0061] Among them, the maximum coordinate of the upper right corner of the image (W m ,H m ) and the image center coordinates (Q(x), Q(y)) are expressed as:

[0062]

[0063] The adjustment deviation calculation subunit 2022 is used to calculate the adjustment deviation between the face center and the image center point in the image based on the face center coordinates and the image center point coordinates.

[0064] The calculation formula for adjusting the deviation is as follows:

[0065]

[0066] In the formula, the adjustment deviation includes the deviation of the horizontal coordinate between the face center and the image center point and the deviation of the vertical coordinate between the face center and the image center point, dW represents the deviation of the horizontal coordinate between the face center and the image center point, and dH represents the deviation of the vertical coordinate between the face center and the image center.

[0067] The control subunit 2023 calculates the rotation angle of the image acquisition unit 201 based on the adjustment deviation, and adjusts the position of the image acquisition unit 201 based on the rotation angle.

[0068] The image acquisition unit 201 includes a steering gear unit and a camera installed at the output end of the steering gear unit; the face tracking unit 202 sends a control angle signal to the steering gear unit, and the steering gear unit adjusts the angle based on the control angle signal.

[0069] The face recognition unit 203 is used to compare the driving portrait data with the measured portrait data to obtain a comparison result.

[0070] The controller 300 is used to determine whether the acquired alcohol concentration data exceeds a preset drunk driving threshold, and if so, sends a prohibition start signal to the vehicle start control module 400, and if not, sends a permission start signal to the vehicle start control module 400;

[0071] Used to send an image acquisition instruction to the face tracking and recognition module 200 when obtaining a driver change signal;

[0072] Based on the comparison result, if it is determined that the driver is not the first alcohol concentration data collection object, a warning signal is issued, and an alcohol concentration measurement request signal is issued at the same time;

[0073] It is also used to control the vehicle to stop driving within a preset first time if the second alcohol concentration data measured by the driver exceeds the preset drunk driving threshold; if the driver fails to measure the alcohol concentration within the prescribed time, the vehicle is controlled to stop driving within a preset second time.

[0074] If the second alcohol concentration data measured by the driver does not exceed the preset drunk driving threshold, the standard portrait data will be updated to the most recent driving portrait data.

[0075] The vehicle start control module 400 is used to control the vehicle start.

[0076] The present invention can detect the alcohol content of the driver before starting by setting an alcohol detection module 100, a face tracking and recognition module 200, a controller 300 and a vehicle start control module 400. The driver's alcohol content can be detected before starting. The driver's image is collected during the alcohol content detection process. When it is determined that the driver has changed, the driver's change is first confirmed. If there is indeed a change, a secondary alcohol detection instruction is issued, so as to ensure that the alcohol content of the vehicle driver meets the requirements at any time. At the same time, the present invention can collect as many images of the driver as possible by setting a face tracking unit, thereby improving the accuracy in the face recognition comparison process.

[0077] The device also includes a driver change monitoring module 500, which is used to determine whether the driver has changed during the vehicle startup process, and if a change has occurred, promptly send a driver change signal to the controller 300.

[0078] The driver change monitoring module 500 can determine whether the driver has changed by acquiring a driver's seat gravity signal; it can also determine whether the driver has changed by acquiring a cab door switch signal.

[0079] Specifically, the driver change monitoring module 500 determines that the driver may be changed by acquiring the cab door switch signal, thereby ensuring driving safety.

[0080] See also Figure 4 , Figure 4 is a flow chart of a control method of an automatic control device for preventing drunk driving provided by an embodiment of the present invention. Figure 4 As shown, the control method includes steps S10 to S70.

[0081] S10, measuring the alcohol concentration of the driver and acquiring an image of the driver to obtain first alcohol concentration data and standard portrait data of the driver;

[0082] S20, determining whether the first alcohol concentration data obtained exceeds a preset drunk driving threshold, and if so, issuing a prohibition start signal, and if not, issuing a permission start signal;

[0083] S30, acquiring a facial image of the driver based on the image acquisition instruction when the vehicle is traveling to obtain driving portrait data;

[0084] S40, comparing the driver portrait data with the standard portrait data to obtain a comparison result;

[0085] S50, based on the comparison result, if it is determined that the driver is not the first alcohol concentration data collection object, a warning signal is issued, and an alcohol concentration measurement request signal is issued at the same time;

[0086] S60: If the second alcohol concentration data measured by the driver exceeds the preset drunk driving threshold, the vehicle is controlled to stop driving within a preset first time; if the driver fails to measure the alcohol concentration within the prescribed time, the vehicle is controlled to stop driving within a preset second time.

[0087] S70: If the second alcohol concentration data measured by the driver does not exceed the preset drunk driving threshold, the standard portrait data will be updated to the most recent driving portrait data.

[0088] It should be understood that, although described in a certain order, these steps are not necessarily performed in sequence in the above order. Unless there is clear explanation in this article, the execution of these steps does not have strict order restriction, and these steps can be performed in other orders. Moreover, a part of the steps of the present embodiment may include a plurality of steps or a plurality of stages, and these steps or stages are not necessarily performed at the same time, but can be performed at different times, and the execution order of these steps or stages is not necessarily performed in sequence, but can be performed in turn or alternately with at least a part of the steps or stages in other steps or other steps.

[0089] It should be understood that, as used herein, the singular form "a" or "an" is intended to include the plural form as well, unless the context clearly supports an exception. It should also be understood that, as used herein, "and / or" refers to any and all possible combinations of one or more of the items listed in association. The serial numbers of the embodiments disclosed in the above embodiments of the present invention are for description only and do not represent the advantages and disadvantages of the embodiments.

[0090] A person skilled in the art should understand that the discussion of any of the above embodiments is only exemplary and is not intended to imply that the scope of the disclosure of the embodiments of the present invention (including the claims) is limited to these examples; under the concept of the embodiments of the present invention, the technical features in the above embodiments or different embodiments can also be combined, and there are many other changes in different aspects of the embodiments of the present invention as above, which are not provided in detail for the sake of simplicity. Therefore, any omissions, modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the embodiments of the present invention should be included in the protection scope of the embodiments of the present invention.

Claims

1. An automatic control device for preventing drunk driving, characterized in that: The device comprises: an alcohol detection module, a face tracking and recognition module, a controller and a vehicle start control module; the alcohol detection module, the face tracking and recognition module and the vehicle start control module are all connected to the controller; The alcohol detection module is used to measure the alcohol concentration of the driver to obtain first alcohol concentration data of the driver, and is used to measure the alcohol concentration of the driver for a second time based on the alcohol concentration measurement request signal to obtain second alcohol concentration data; The face tracking and recognition module is used to acquire a face image when the driver is measuring the alcohol concentration to obtain standard portrait data; it is also used to acquire the driver's face image based on the image acquisition instruction when driving to obtain driving portrait data, and compare the driving portrait data with the standard portrait data to obtain a comparison result; The controller is used to determine whether the acquired alcohol concentration data exceeds a preset drunk driving threshold, and if so, to send a prohibition start signal to the vehicle start control module, and if not, to send a permission start signal to the vehicle start control module; to send an image acquisition instruction to the face tracking and recognition module when obtaining a driver change signal; based on the comparison result, if it is determined that the driver is not the first alcohol concentration data acquisition object, a warning signal is issued, and an alcohol concentration measurement request signal is issued at the same time; it is also used to control the vehicle to stop driving within a preset time if the second alcohol concentration data measured by the driver exceeds the preset drunk driving threshold; if the driver does not measure the alcohol concentration within the prescribed time, the vehicle is controlled to stop driving within a preset time; if the second alcohol concentration data measured by the driver does not exceed the preset drunk driving threshold, the standard portrait data is updated to the most recent driver portrait data; The vehicle start control module is used to control the start of the vehicle.

2. The automatic control device for preventing drunk driving according to claim 1, characterized in that: The face tracking and recognition module includes an image acquisition unit, a face tracking unit and a face recognition unit; The image acquisition unit is used to acquire a facial image when the driver is measuring his alcohol concentration to obtain standard portrait data, and is also used to acquire a facial image of the driver when driving to obtain driving portrait data; The face tracking unit is used to control the image acquisition unit to adjust the image acquisition angle so as to acquire the maximum face data; The face recognition unit is used to compare the driving portrait data with the measured portrait data to obtain a comparison result.

3. The automatic control device for preventing drunk driving according to claim 2, characterized in that: The face tracking unit is used to control the image acquisition unit to adjust the image acquisition angle based on the face tracking algorithm so as to acquire maximum face data.

4. The automatic control device for preventing drunk driving according to claim 3, characterized in that: The face tracking algorithm is the YOLOX-Nano algorithm.

5. The automatic control device for preventing drunk driving according to claim 2, characterized in that: The face tracking unit includes a coordinate calculation subunit, an adjustment deviation calculation subunit and a control subunit; The coordinate calculation subunit is used to establish a two-dimensional coordinate system from the collected image. The face tracking algorithm uses the collected image to calculate the face center coordinates, the maximum coordinates of the upper right corner of the image, and the coordinates of the center point of the image; The adjustment deviation calculation subunit is used to calculate the adjustment deviation between the center of the face in the image and the center point of the image based on the coordinates of the center of the face and the coordinates of the center point of the image; The control subunit calculates the rotation angle of the image acquisition unit based on the adjustment deviation, and adjusts the position of the image acquisition unit based on the rotation angle.

6. The automatic control device for preventing drunk driving according to claim 5, characterized in that: The relationship between the maximum coordinates of the upper right corner of the image and the coordinates of the center point of the image is expressed as: Where Q(x) represents the horizontal coordinate of the image center point, Q(y) represents the vertical coordinate of the image center point, and W m It is expressed as the horizontal coordinate of the maximum coordinate of the upper right corner of the image, H m Expressed as the ordinate of the maximum coordinate of the upper right corner of the image.

7. The automatic control device for preventing drunk driving according to claim 6, characterized in that: The adjustment deviation includes the deviation of the horizontal coordinate between the face center and the image center point and the deviation of the vertical coordinate between the face center and the image center point, wherein the calculation formula of the whole deviation is as follows: In the formula, dW represents the deviation of the horizontal coordinate between the center of the face and the center of the image, dH represents the deviation of the vertical coordinate between the center of the face and the center of the image, P(x) represents the horizontal coordinate of the face, and P(y) represents the vertical coordinate of the face.

8. The automatic control device for preventing drunk driving according to claim 1, characterized in that: It also includes a driver change monitoring module, which is used to determine whether the driver has changed during the vehicle startup process, and if a change occurs, promptly send a driver change signal to the controller.

9. A control method for the automatic control device for preventing drunk driving according to any one of claims 1 to 8, characterized in that: The method includes: S10, measuring the alcohol concentration of the driver and acquiring an image of the driver to obtain first alcohol concentration data and standard portrait data of the driver; S20, determining whether the first alcohol concentration data obtained exceeds a preset drunk driving threshold, and if so, issuing a prohibition start signal, and if not, issuing a permission start signal; S30, acquiring a facial image of the driver based on the image acquisition instruction when the vehicle is traveling to obtain driving portrait data; S40, comparing the driver portrait data with the standard portrait data to obtain a comparison result; S50, based on the comparison result, if it is determined that the driver is not the first alcohol concentration data collection object, a warning signal is issued, and an alcohol concentration measurement request signal is issued at the same time; S60: If the second alcohol concentration data measured by the driver exceeds the preset drunk driving threshold, the vehicle is controlled to stop driving within a preset first time; if the driver fails to measure the alcohol concentration within the prescribed time, the vehicle is controlled to stop driving within a preset second time.

10. The control method according to claim 9, characterized in that: S70: If the second alcohol concentration data measured by the driver does not exceed the preset drunk driving threshold, the standard portrait data will be updated to the most recent driving portrait data.

Images