Vehicle control method, vehicle and storage medium

Abstract

The embodiment of the invention provides a vehicle control method, a vehicle and a storage medium, and the method comprises the steps that image information of a driving object in the vehicle and discharge information of the driving object are obtained, the discharge information is used for representing the content of a target substance in skin discharge of the driving object, and the content of the target substance is obtained; the target substance is used for influencing the safety degree of the driving object to vehicle driving; determining biological state information of the driving object based on the image information and the discharge information; in response to the fact that the biological state information is in a target state range, a control strategy corresponding to the target state range is determined, the safety degree corresponding to the target state range is lower than a safety degree threshold value, and the control strategy is used for representing a rule for controlling the vehicle to adjust the safety degree; and according to the control strategy, the vehicle is controlled to execute adjustment operation, and the adjustment operation is used for adjusting the safety degree. The technical problem that the control safety of the vehicle is low is solved.

Description

Technical Field

[0001] This application relates to the field of vehicle safety technology, and more specifically, to a vehicle control method, a vehicle, and a storage medium. Background Technology

[0002] Currently, in the development of modern vehicle safety technology, active safety systems have become a key factor in improving driving safety. Among related technologies, active safety solutions, such as driver fatigue warning systems and distraction alert systems, can indeed, to a certain extent, ensure the driver's alertness and concentration, thereby preventing potential traffic accidents.

[0003] However, for the significant safety threat of drunk driving, relevant technologies still have limitations. Among related technologies, methods for detecting drunk driving, such as breathalyzer tests requiring driver cooperation, are not only cumbersome and easily inconvenient for drivers, but also often have a delayed response, intervening only after the driver has already shown signs of intoxication, thus missing the opportunity for early intervention. These passive response mechanisms cannot provide effective warnings in the early stages of drunk driving, reducing the overall effectiveness of active safety systems. Therefore, the technical problem of low vehicle control safety remains.

[0004] There is currently no good solution to the above problems. Summary of the Invention

[0005] This application provides a vehicle control method, a vehicle, and a storage medium to at least address the technical problem of low vehicle control security.

[0006] According to one aspect of the embodiments of this application, a vehicle control method is provided, wherein the method may include: acquiring image information of a driving object in the vehicle and exhaust information of the driving object, wherein the exhaust information is used to indicate the content of a target substance in the skin exhaust of the driving object, and the target substance is used to affect the driving object's safety level while driving the vehicle; determining biological state information of the driving object based on the image information and the exhaust information, wherein the biological state information is used to indicate the driving object's physical state during vehicle operation; determining a control strategy corresponding to the target state range in response to the biological state information being within a target state range, wherein the safety level corresponding to the target state range is lower than a safety level threshold, and the control strategy is used to represent a rule for controlling the vehicle to adjust the safety level; and controlling the vehicle to perform an adjustment operation according to the control strategy, wherein the adjustment operation is used to adjust the safety level, and the adjusted safety level is greater than or equal to the safety level threshold.

[0007] Furthermore, the vehicle includes a data acquisition module and a central processing unit. Based on image information and exhaust information, the vehicle determines the biological state information of the driver, including: in response to the data acquisition module acquiring image information and exhaust information, controlling the data acquisition module to send the image information and exhaust information to the central processing unit; and using the central processing unit to determine the biological state information based on the image information and exhaust information.

[0008] Furthermore, the data acquisition module includes at least one sensor and an image acquisition device to acquire image information of the driving object in the vehicle and information on the exhaust emissions of the driving object, including: acquiring exhaust emission information using at least one sensor and acquiring image information using the image acquisition device, wherein at least one sensor is deployed inside the steering wheel hub in the vehicle, the image acquisition device is deployed in the facial area facing the driving object, and the image content of the image information includes at least the facial area.

[0009] Furthermore, in response to the data acquisition module acquiring image information and discharge information, the control of the data acquisition module to send the image information and discharge information to the central processing unit includes: controlling the sensor to send the collected discharge information to the central processing unit, and controlling the image acquisition device to send the collected image information to the central processing unit.

[0010] Furthermore, the central processing unit includes a signal processing module, an intelligent algorithm execution module, and a logic judgment and decision module. Using the central processing unit, based on image information and excrement information, biological state information is determined, including: using the signal processing module to preprocess the excrement information and image information received by the central processing unit to obtain preprocessed excrement information and preprocessed image information; using the substance concentration calculation model in the intelligent algorithm execution module to process the preprocessed excrement information to obtain first state information; and using the state recognition model in the intelligent algorithm execution module to process the preprocessed image information to obtain second state information. The first state information represents the concentration of the target substance in the skin excrement, and the second state information represents the state of the driver's facial area. The logic judgment and decision module then determines the biological state information based on the first and second state information.

[0011] Furthermore, the target state range includes a first target state range, a second target state range, and a third target state range. The safety level of the first target state range is greater than the safety level of the second target state range, and the safety level of the second target state range is greater than the safety level of the third target state range. Using a logic judgment and decision module, based on the first and second state information, the biological state information is determined, including: using the logic judgment and decision module, based on the first and second state information, determining that the concentration of the target substance is less than a first concentration threshold, thus determining that the biological state information is within the first target state range; using the logic judgment and decision module, based on the first and second state information, determining that the concentration of the target substance is greater than or equal to the first concentration threshold and less than the second concentration threshold, thus determining that the biological state information is within the second target state range; using the logic judgment and decision module, based on the first and second state information, determining that the concentration of the target substance is greater than or equal to the second concentration threshold, thus determining that the biological state information is within the third target state range.

[0012] Furthermore, the vehicle includes a graphical user interface, speakers, and an engine. In response to the biological state information being within a target state range, a control strategy corresponding to the target state range is determined, including: in response to the biological state information being within a first target state range, determining a first control strategy corresponding to the first target state range, wherein the first control strategy represents a rule for controlling the graphical user interface to respond to the first target state range; in response to the biological state information being within a second target state range, determining a second control strategy corresponding to the second target state range, wherein the second control strategy represents a rule for controlling the graphical user interface, speakers, and engine to respond to the second target state range; and in response to the biological state information being within a third target state range, determining a third control strategy corresponding to the third target state range, wherein the third control strategy represents a rule for controlling the graphical user interface, speakers, and engine to respond to the third target state range.

[0013] Furthermore, the vehicle includes a system scheduling module that, according to a control strategy, controls the vehicle to perform adjustment operations, including: controlling the graphical user interface to send prompt information to the driver according to a first control strategy; controlling the graphical user interface to send prompt information to the driver, controlling the speaker to send voice information to the driver, and controlling the engine to be in an idle start-stop state according to a second control strategy; and controlling the graphical user interface to send prompt information to the driver, controlling the speaker to send voice information to the driver, and controlling the engine to shift to parking gear and lock the engine starting function according to a third control strategy.

[0014] According to another aspect of the embodiments of this application, a vehicle control device is also provided. The device may include: an acquisition module, configured to acquire image information of a driver in the vehicle and exhaust information of the driver, wherein the exhaust information indicates the content of a target substance in the driver's skin exhaust, and the target substance affects the driver's safety level while driving the vehicle; a first determination module, configured to determine the driver's biological state information based on the image information and the exhaust information, wherein the biological state information indicates the driver's physical state during vehicle operation; a second determination module, configured to determine a control strategy corresponding to the target state range in response to the biological state information being within a target state range, wherein the safety level corresponding to the target state range is lower than a safety level threshold, and the control strategy represents a rule for controlling the vehicle to adjust its safety level; and a control module, configured to control the vehicle to perform an adjustment operation according to the control strategy, wherein the adjustment operation adjusts the safety level, and the adjusted safety level is greater than or equal to the safety level threshold.

[0015] According to another aspect of the embodiments of this application, a vehicle is also provided, including: a memory storing an executable program; and a processor for running the program, wherein the program executes the methods in various embodiments of this application when it runs.

[0016] According to another aspect of the embodiments of this application, a computer-readable storage medium is also provided, the computer-readable storage medium including a stored executable program, wherein, when the executable program is running, it controls the device where the computer-readable storage medium is located to perform the methods of various embodiments of this application.

[0017] According to another aspect of the embodiments of this application, a computer program product is also provided, including a computer program that, when executed by a processor, implements the methods of various embodiments of this application.

[0018] According to another aspect of the embodiments of this application, a computer program product is also provided, including a non-volatile computer-readable storage medium storing a computer program, which, when executed by a processor, implements the methods in various embodiments of this application.

[0019] According to another aspect of the embodiments of this application, a computer program is also provided, which, when executed by a processor, implements the methods of the various embodiments of this application.

[0020] In this embodiment, image information of the driver in the vehicle and information about the driver's excrement are acquired. The excrement information indicates the content of a target substance in the driver's skin excrement, which affects the driver's safety level while driving. Based on the image information and excrement information, the driver's biological state information is determined, indicating the driver's physical state during vehicle operation. In response to the biological state information being within a target state range, a control strategy corresponding to the target state range is determined. The safety level corresponding to the target state range is below a safety level threshold, and the control strategy represents the rules for controlling the vehicle to adjust the safety level. According to the control strategy, the vehicle is controlled to perform an adjustment operation, which adjusts the safety level to be greater than or equal to the safety level threshold. In other words, this embodiment innovatively monitors the content of a target substance (e.g., alcohol) in the driver's skin excrement and image information in real time, achieving immediate identification and graded warning of drunk driving status, thus effectively avoiding the response lag and inconvenience of drunk driving detection in related technologies. When the biological status information of the driver falls within the target state range indicating a risk of drunk driving, the system can quickly formulate and implement corresponding control strategies to ensure that the vehicle's control safety is not lower than the set safety threshold. The aforementioned forward-looking active intervention mechanism in this application can respond promptly to early signs of drunk driving, prevent driving performance from declining due to alcohol, significantly improve the effectiveness of the vehicle's active safety system, and substantially reduce the traffic accident rate caused by drunk driving. This solves the technical problem of low vehicle control safety and achieves the technical effect of effectively improving vehicle control safety. Attached Figure Description

[0021] The accompanying drawings, which are included to provide a further understanding of this application and form part of this application, illustrate exemplary embodiments and are used to explain this application, but do not constitute an undue limitation of this application. In the drawings:

[0022] Figure 1 This is a flowchart of a vehicle control method according to an embodiment of this application;

[0023] Figure 2 This is a schematic diagram of a driver's seat alcohol detection and reminder system for automobiles according to an embodiment of this application;

[0024] Figure 3 This is a schematic diagram of a data acquisition module according to an embodiment of this application;

[0025] Figure 4 This is a schematic diagram of a central processing unit according to an embodiment of this application;

[0026] Figure 5This is a schematic diagram of the judgment logic of a system logic judgment and decision module according to an embodiment of this application;

[0027] Figure 6 This is a schematic diagram of a vehicle control device according to an embodiment of this application. Detailed Implementation

[0028] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present application, and not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present application.

[0029] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0030] According to an embodiment of this application, a vehicle control method embodiment is provided. It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. Also, although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in a different order than that shown here.

[0031] This embodiment provides a vehicle control method. Figure 1 This is a flowchart of a vehicle control method according to an embodiment of this application, such as... Figure 1 As shown, the method may include the following steps:

[0032] Step S102: Obtain image information of the driving object in the vehicle, as well as information on the emissions emitted by the driving object.

[0033] In the technical solution provided by step S102 of this application embodiment, the discharge information is used to indicate the content of the target substance present in the skin discharge of the driver. The target substance is used to affect the driver's safety level while driving the vehicle.

[0034] Optionally, the driving object can refer to the person operating the vehicle and responsible for driving, that is, the driver or the person driving. The physical condition, mental state, and operating habits of the driving object directly affect driving safety.

[0035] Optionally, the image information may refer to facial biometric data of the driver captured by an in-vehicle camera or other visual sensors. This image information may include, but is not limited to, the driver's facial expressions, eye movements (e.g., blinking frequency, eye opening degree), head and neck posture, and facial micro-movements. This image information can be used to assess the driver's mental state, such as whether they are fatigued, distracted, or under the influence of medication, thus enabling proactive safety warnings.

[0036] Optionally, the information on excrement can refer to information about specific chemical components contained in substances excreted from the driver's body surface. For example, skin excrement can be sweat, and correspondingly, the information on excrement can be the alcohol concentration in sweat. Sweat is a product naturally secreted by the human body under physiological states such as body temperature regulation and emotional changes. Since the alcohol concentration in sweat is correlated with the blood alcohol concentration, monitoring the alcohol concentration in sweat can indirectly reveal whether the driver has consumed alcohol and the degree of alcohol consumption without requiring the driver's active cooperation, providing a real-time and imperceptible monitoring method for drunk driving warnings.

[0037] In this embodiment, image information of the driver in the vehicle and information on the emissions emitted by the driver can be acquired.

[0038] Optionally, a facial monitoring camera and a skin discharge monitoring sensor integrated into the vehicle can be activated. The camera adjusts its focus and light sensitivity to adapt to the current lighting conditions of the driving environment; the sensor warms up to receive skin discharge signals.

[0039] Optionally, the camera continuously captures facial images of the driver, ensuring image clarity and continuity. Image processing algorithms identify key facial feature points, such as the eyes, mouth, and facial contours. Changes in these feature points are analyzed to assess the driver's facial state, including but not limited to: eye opening and closing, gaze direction, and facial expression changes, to evaluate the presence of factors affecting safe driving, such as fatigue or distraction.

[0040] Optionally, the skin excretion monitoring sensor comes into contact with the driver's skin surface, typically through integrated sensors in areas such as the steering wheel and seat. This sensor detects sweat excreted from the skin surface, paying particular attention to volatile organic compounds, including target substances such as alcohol. The sensor converts the detected concentration of target substances in the sweat into an electrical signal, which is then converted into a digital signal for further processing.

[0041] Optionally, image and excrement information can be preprocessed, including noise filtering, signal enhancement, and data normalization, to improve analytical accuracy. Facial state analysis results are combined with information on the content of target substances in sweat to form comprehensive biostatistics. Based on the fused information, the current driving safety level of the driver is assessed, and the presence of drunk driving risk or other factors affecting safe driving is determined.

[0042] Step S104: Determine the biological state information of the driving object based on image information and exhaust information.

[0043] In the technical solution provided by step S104 in the embodiments of this application, the biological state information is used to represent the physical state of the driving object during the vehicle driving process.

[0044] Optionally, the bio-state information can be derived from a comprehensive analysis of the driver's image and emissions information, aiming to comprehensively reflect the driver's physiological and psychological state during vehicle operation. This bio-state information can include data from multiple dimensions, such as the driver's physical health, mental state, level of concentration, and whether they are affected by external factors (such as alcohol or drugs).

[0045] In this embodiment, after acquiring image information and exhaust information of the driving object in the vehicle, the biological state information of the driving object can be determined based on the image information and exhaust information.

[0046] Optionally, the acquired facial images of the driver are processed with noise reduction and brightness correction to ensure image quality suitable for subsequent analysis. Computer vision technology is applied to identify key facial features, including but not limited to eye status (degree of openness, blinking frequency), facial expression, and gaze direction, to determine the driver's mental state. The raw electrical signal of sweat alcohol concentration is preprocessed with filtering and amplification to ensure signal purity and appropriate intensity for subsequent analysis. The preprocessed electrical signal is then converted into a digital sweat alcohol concentration value.

[0047] Optionally, a pre-trained biostatistics analysis model can be invoked. This model integrates image features and exhaust information to assess the driver's physical condition. The image features and sweat alcohol concentration values ​​obtained in the feature extraction step are used as input to the biostatistics model. Based on the input information, the biostatistics model performs deep learning processing to analyze the driver's physiological and psychological state. The model maps the analysis results to specific biostatistic categories, such as conscious state, mild fatigue, severe fatigue, and being under the influence of alcohol.

[0048] Optionally, the sweat alcohol concentration value output by the above model is compared with a preset alcohol safety threshold, while also considering visual features such as eye condition and facial expression to determine whether it exceeds the physiological and psychological safety range for normal driving. Based on the threshold comparison results and image analysis results, a comprehensive biological state information describing the driver's physical condition is generated. For example, if the alcohol concentration is higher than the threshold and the eyes blink frequently, the biological state information of "affected by alcohol and slightly fatigued" may be generated.

[0049] In the embodiments of this application, the above method can be used to assess the biological state of the driver in real time and accurately, promptly identify factors that may affect safe driving, such as alcohol effects and fatigue, and take appropriate warning and intervention measures accordingly, thereby effectively improving the safety of vehicle driving.

[0050] Step S106: In response to the biological state information being within the target state range, determine the control strategy corresponding to the target state range.

[0051] In the technical solution provided by step S106 of this application embodiment, the safety level corresponding to the target state range is lower than the safety level threshold. The control strategy is used to represent the rules for controlling the vehicle to adjust the safety level.

[0052] Optionally, the target state range can refer to a series of state intervals with specific safety implications, divided according to different manifestations of the driver's biological state information. In the technical solution of this application, the above-mentioned target state range can focus on the biological state manifestations related to the influence of alcohol, for example, it can include: a first-level warning threshold, a second-level warning threshold, and a third-level intervention threshold. Among them, the above-mentioned first-level warning threshold corresponds to the state range where the driver's blood alcohol concentration is low, but still requires attention. At this time, the driving ability may not be seriously affected, but there is a tendency to drive under the influence. The above-mentioned second-level warning threshold can be used to indicate the state range where the driver's blood alcohol concentration has reached the standard for drunk driving, the driving ability has begun to be affected, and the risk of safe driving has significantly increased. The above-mentioned third-level intervention threshold corresponds to the state range where the driver's blood alcohol concentration is very high, reaching the state of intoxicated driving. At this time, the driving ability is severely impaired, and the vehicle driving safety faces a huge threat. The setting of the target state range is based on scientific research and legally stipulated standards for drunk driving and driving under the influence of alcohol, aiming to achieve early identification and intervention of the influence of alcohol through graded warnings.

[0053] Optionally, the control strategy can be a set of rules or guidelines to instruct the vehicle on how to respond to specific biometric information to adjust the vehicle's safety level and ensure or restore driving safety to an acceptable level. The control strategies mentioned above include, but are not limited to: mild alerts, moderate warnings, and severe interventions. For mild alerts, for example, within the first-level warning threshold, a text reminder or a slight audible warning is displayed on the central control screen to remind the driver to pay attention to their own condition. For moderate warnings, corresponding to the second-level warning threshold, in addition to visual and auditory warnings, measures such as limiting vehicle acceleration and reducing the vehicle's maximum speed can be included to physically reduce driving risks. For severe interventions, when biometric information falls into the third-level intervention threshold, emergency measures will be taken, such as automatic deceleration, pulling over to the side of the road, forcibly shifting to Parking (P) gear and locking the engine start function, to immediately reduce vehicle driving risks and prevent potential drunk driving accidents.

[0054] Optionally, the safety threshold can be used to represent the minimum standard at which a driving object is considered capable of safe driving, and is an indicator for measuring the safety of driving operations. In this embodiment, the safety threshold is set as the critical point of "unsafe driving," that is, any biological state information below this safety threshold indicates that the driving object's driving safety level is insufficient to guarantee normal and safe driving operations.

[0055] In this embodiment, after determining the biological state information of the driving object based on image information and exhaust information, if the biological state information is within the target state range, the control strategy corresponding to the target state range can be determined.

[0056] Optionally, key indicators (such as sweat alcohol concentration) in the parsed biological status information are compared with preset multi-level safety thresholds to determine whether the current state is below the safety threshold. Based on the specific manifestation of the biological status information and the threshold comparison results, the immediate safety risk level of the driver is assessed, including possible states of Level 1 warning, Level 2 warning, or Level 3 intervention. Based on the currently assessed risk level of the biological status information, a preset control strategy library is searched to find the corresponding control rule. The risk level is matched with the rules in the control strategy library to ensure that the selected control strategy can effectively improve or restore driving safety to above the safety threshold. The specific execution details of the control strategy are refined, such as the type of warning (audio, text, light), the adjustment range of engine performance, and the activation of driver assistance functions.

[0057] Optionally, once a suitable control strategy is matched, the logic judgment and decision-making module will issue specific execution instructions based on the preset decision logic. Specific control instructions are generated according to the decision logic, such as a text reminder instruction on the central control screen under a first-level warning, an in-vehicle speaker sound warning instruction under a second-level warning, and an engine power limiting instruction under a third-level intervention.

[0058] In this embodiment of the application, the above method can adjust the vehicle control strategy in real time based on the biological status information of the driver, so as to ensure that when the risk of drunk driving or other unsafe driving conditions occur, effective measures can be taken in a timely manner to improve or restore the safety level of vehicle driving, reach or exceed the preset safety level threshold, and thus effectively prevent the occurrence of traffic accidents.

[0059] Step S108: Control the vehicle to perform adjustment operations according to the control strategy.

[0060] In the technical solution provided by step S108 in the embodiments of this application, the adjustment operation is used to adjust the security level, and the adjusted security level is greater than or equal to the security level threshold.

[0061] Optionally, adjustment operations can refer to a series of actions performed by specific components or systems on the vehicle according to a defined control strategy, aimed at adjusting the vehicle's safety status to ensure that the adjusted safety level is greater than or equal to a safety threshold. These adjustment operations directly target the driver or vehicle performance, and can intervene or remind the driver to varying degrees to reduce the risk of unsafe behaviors such as drunk driving or fatigued driving. For example, these adjustment operations may include, but are not limited to: text prompts on the central control panel, voice warnings from in-vehicle speakers, forced idle start-stop, limiting engine power, and automatic safe parking, etc.

[0062] Optionally, regarding the aforementioned text prompts on the central control panel, specific warnings or prompts can be displayed on the vehicle's central control panel to inform the driver of their current biological status information, such as alcohol concentration level and fatigue level. This aims to visually alert the driver to the potential threat to driving safety posed by their condition, prompting them to take appropriate measures, such as temporarily stopping to rest or seeking a designated driver service. Regarding the aforementioned in-vehicle speaker voice warnings, the vehicle's speaker system can be used to play voice warnings or prompts, directly conveying warnings of abnormal biological status to the driver, such as, "High alcohol concentration detected, please drive with caution." Direct auditory warnings enhance the driver's alertness, especially when the driver's visual attention is distracted, providing additional alertness. Regarding the aforementioned forced idle start-stop system, the vehicle's engine control system limits the engine's power output, causing the vehicle to maintain an idle state or frequently start and stop automatically, preventing normal acceleration or driving. When the driver's alcohol concentration reaches a certain level, the vehicle's acceleration capability is physically restricted, forcing the vehicle to decelerate or stop, preventing the driver from engaging in dangerous driving behavior under the influence of alcohol. To limit engine power, the engine output is adjusted to reduce vehicle acceleration and top speed, keeping the vehicle within a controllable range. When alcohol concentration or fatigue levels reach a moderate warning level, vehicle performance is limited to prevent unnecessary speed or power demands due to poor driving conditions, thereby reducing potential driving risks. Regarding the aforementioned automatic safety parking program, when biological status information reaches an extremely dangerous level (such as intoxication or severe fatigue), automatic measures are taken to smoothly decelerate the vehicle to a stop, simultaneously shifting to parking gear and potentially locking the engine start function. This immediately stops vehicle operation, preventing the driver from continuing to drive in an extremely unsafe state and effectively preventing potential serious traffic accidents.

[0063] In this embodiment, after determining the control strategy corresponding to the target state range, the vehicle can be controlled to perform adjustment operations according to the control strategy.

[0064] Optionally, based on the determined target state range, the corresponding control strategy is parsed. This step ensures the system understands the specific rules to be executed next, such as text prompts, audible warnings, or physical performance limitations. Based on the parsed control strategy, the system identifies the execution components that need to be activated. For example, when the strategy is to issue an audible warning, the system will identify the in-vehicle speakers as the execution component; if the strategy involves limiting engine power, the vehicle engine control system becomes the key execution component. Specific execution instructions are generated according to the control strategy. These instructions contain specific requirements for the adjustment operation, such as what type of warning message to display or what level of engine power to adjust. The generated instructions are sent to the selected execution components via the vehicle's communication network to ensure accurate transmission of the instructions.

[0065] Optionally, upon receiving the instruction, the execution component immediately performs the corresponding adjustment operation. For example, the central control panel displays a warning message, the in-vehicle speakers play a voice warning, or the vehicle engine control system limits power output. Based on the instruction, the execution component changes its operating state to warn the driver or physically limit vehicle performance, ensuring the adjustment of safety levels. After the adjustment operation is executed, the driver's biological status information continues to be monitored to assess whether the post-operation safety level has reached or exceeded a safety threshold. By comparing the biological status information with the safety threshold in real time, the effectiveness of the adjustment operation is verified, ensuring that the driver's state or vehicle performance is adjusted to a safe level.

[0066] Optionally, if the adjusted safety level still fails to reach the threshold, the control strategy determination process will resume, reassessing and adjusting the control strategy based on the latest biological status information. This process will repeat until the system confirms that the driver's safety level has returned to an acceptable level, or the vehicle has been safely brought to a stop.

[0067] In this embodiment, the method continuously monitors the biological state information of the driver to determine and execute control strategies, thereby adjusting the vehicle's safe driving state. By precisely matching the control strategy with the execution components and continuously assessing the safety state, the efficiency and targeted nature of the adjustment operation are ensured. The ultimate goal is to adjust the vehicle's safe driving level to or maintain it above a safety threshold, effectively preventing accidents caused by unsafe behaviors such as drunk driving and fatigued driving.

[0068] In steps S102 to S108 of this embodiment, image information of the driver in the vehicle and information on the driver's excrement are acquired. The excrement information indicates the content of a target substance in the driver's skin excrement, which affects the driver's safety level while driving. Based on the image information and excrement information, the driver's biological state information is determined, representing the driver's physical state during vehicle operation. In response to the biological state information being within a target state range, a control strategy corresponding to the target state range is determined. The safety level corresponding to the target state range is below a safety threshold, and the control strategy represents the rules for adjusting the vehicle's safety level. According to the control strategy, the vehicle is controlled to perform an adjustment operation, which adjusts the safety level to be greater than or equal to the safety threshold. In other words, this embodiment innovatively monitors the content of a target substance (e.g., alcohol) in the driver's skin excrement and image information in real time, achieving immediate identification and graded warning of drunk driving, thus effectively avoiding the delayed response and inconvenient operation of drunk driving detection in related technologies. When the biological status information of the driver falls within the target state range indicating a risk of drunk driving, the system can quickly formulate and implement corresponding control strategies to ensure that the vehicle's control safety is not lower than the set safety threshold. The aforementioned forward-looking active intervention mechanism in this application can respond promptly to early signs of drunk driving, prevent driving performance from declining due to alcohol, significantly improve the effectiveness of the vehicle's active safety system, and substantially reduce the traffic accident rate caused by drunk driving. This solves the technical problem of low vehicle control safety and achieves the technical effect of effectively improving vehicle control safety.

[0069] The embodiments of this application will be described in detail below with reference to the steps described above.

[0070] As an optional implementation, in step S104, the vehicle includes a data acquisition module and a central processing unit. Based on image information and exhaust information, the biological state information of the driving object is determined, including: in response to the data acquisition module acquiring image information and exhaust information, controlling the data acquisition module to send the image information and exhaust information to the central processing unit; and using the central processing unit to determine the biological state information based on the image information and exhaust information.

[0071] In this embodiment, the vehicle may include a data acquisition module and a central processing unit. The data acquisition module can be a front-end sensing device in the vehicle's alcohol detection and warning system, used to collect driver-related exhaust information and image information. This data acquisition module uses sensors installed in the vehicle, including but not limited to an infrared camera facing the driver and a sweat alcohol sensor array integrated into the steering wheel, to acquire real-time image information and exhaust information (such as the alcohol concentration in sweat). The data acquisition module converts the acquired image and exhaust information into transmittable electrical signals or data streams for further processing and analysis. The collected raw data is transmitted to the central processing unit via the vehicle's communication network, such as a Controller Area Network (CAN) bus, ensuring the real-time and accurate transmission of data and providing a basis for subsequent intelligent analysis.

[0072] Optionally, the aforementioned central processing unit can refer to a control center responsible for data processing, intelligent analysis, and decision-making. This central processing unit receives raw data uploaded from the data acquisition module, preprocesses it (including signal purification and format conversion), and ensures data quality and usability. Using built-in algorithm models, such as facial recognition and alcohol concentration calculation models, it performs in-depth analysis of the preprocessed data to determine if the driver is fatigued, distracted, or in other abnormal states, and calculates the alcohol concentration in sweat. Based on the results of the intelligent analysis, the central processing unit compares the bio-state information with preset safety thresholds, makes logical judgments, decides whether to trigger warnings or intervention measures, and determines the corresponding control strategy. It generates specific execution instructions, such as displaying warning messages or limiting engine power, and schedules the corresponding vehicle components to execute these adjustments via the communication network, ensuring the effective implementation of system decisions.

[0073] Optionally, during the process of determining biological state information based on image information and excrement information, if the data acquisition module obtains image information and excrement information, it can be controlled to send the image information and excrement information to the central processing unit. The central processing unit then uses the image information and excrement information to determine the biological state information.

[0074] Optionally, the infrared camera in the data acquisition module actively captures images of the driver's face, including but not limited to: eye opening and closing frequency, head posture, and facial expressions. A sweat alcohol sensor array integrated into the steering wheel contacts the driver's palm to detect the concentration of alcohol molecules in the sweat. The data acquisition module converts the captured image and exhaust information into transmittable electrical signals or data streams and performs preliminary signal purification to ensure data quality. The pre-processed image and exhaust information is then sent to the central processing unit via the vehicle's communication network (such as the CAN bus).

[0075] Optionally, the central processing unit receives image information and exhaust information sent by the data acquisition module, and further processes these two types of information to ensure accuracy and applicability. A facial recognition model is used to analyze the image information to determine if the driver is fatigued, distracted, or in other abnormal states. An alcohol concentration calculation model is used to analyze the exhaust information and calculate the alcohol concentration in the driver's sweat. The central processing unit integrates the analysis results of the image information and exhaust information to form an overall assessment of the driver's biological state. The determined biological state information (such as alcohol concentration and fatigue level) is compared with preset multi-level safety thresholds to determine if it is below the safety threshold. Based on the threshold comparison results, the driver's biological state information level is determined, such as safe, mild warning, moderate warning, or severe intervention state.

[0076] In this embodiment, the above method ensures the accuracy of biological status information through the precise perception of the data acquisition module and the intelligent analysis of the central processing unit, providing a scientific basis for subsequent early warning and intervention measures and effectively improving driving safety.

[0077] As an optional implementation, the data acquisition module includes at least one sensor and an image acquisition device. Step S102 involves acquiring image information of the driving object in the vehicle and information on the exhaust emissions of the driving object, including: acquiring exhaust emission information using at least one sensor and acquiring image information using the image acquisition device. The at least one sensor is deployed inside the steering wheel hub in the vehicle, and the image acquisition device is deployed in the facial area facing the driving object. The image content of the image information includes at least the facial area.

[0078] In this embodiment, the data acquisition module may include at least one sensor and an image acquisition device. The sensor may be a high-precision sweat alcohol sensor array. This high-precision sweat alcohol sensor array can be a dedicated sensor group designed to detect the alcohol concentration in a driver's sweat. The sensor array is integrated inside the steering wheel hub, sampling sweat through direct contact with the driver's palm. It features high sensitivity and high accuracy, precisely measuring the concentration of volatile alcohol molecules in sweat, providing direct evidence for determining whether the driver has consumed alcohol or is driving under the influence. The sensor array monitors the sweat alcohol concentration in real time, and immediately transmits data to the central processing unit upon detecting an anomaly for immediate response. The sensor contact parts are encapsulated with breathable and wear-resistant materials, ensuring continuous data acquisition while withstanding daily wear and tear, extending service life.

[0079] Optionally, the aforementioned image acquisition device can be a driver-oriented infrared camera. This driver-oriented infrared camera is an image acquisition device specifically designed to monitor the driver's facial state. Its main functions include: all-weather image capture, utilizing infrared technology to clearly capture the driver's facial image even in low-light or no-light environments, enabling 24 / 7 uninterrupted monitoring; facial feature recognition, capable of recognizing key facial features such as facial expressions, eyelid opening and closing, and head posture to determine the driver's fatigue level or level of inattention; non-contact monitoring, maintaining a certain spatial distance from the driver, analyzing driving status by capturing facial images without affecting the driver's comfort or operational freedom; and real-time data transmission, with captured image information transmitted in real-time to the central processing unit via the vehicle's internal communication network, ensuring timely data analysis.

[0080] Optionally, in the process of acquiring image information of the driver in the vehicle and information on the driver's exhaust emissions, at least one sensor can be used to acquire the exhaust emissions information. Alternatively, an image acquisition device can be used to acquire the image information.

[0081] Optionally, a high-precision sweat alcohol sensor array is installed inside the steering wheel hub to ensure effective data acquisition when in contact with the driver's hand. Upon vehicle startup, the sensor array and image acquisition device perform a self-test to ensure proper functioning and prepare for operation. When the driver grips the steering wheel, the sensor array begins detecting the alcohol concentration in their sweat, acquiring real-time information about the excrement. Simultaneously, an image acquisition device (e.g., an infrared camera) positioned directly in front of the driver's face activates, continuously capturing facial images, including but not limited to eye position and head posture.

[0082] Optionally, the sensor array converts the detected alcohol concentration into a transmittable electrical signal, and the image acquisition device converts the facial image into a digital signal. The data acquisition module performs preliminary purification of the raw signals to remove possible noise interference, ensuring the accuracy and reliability of the data. The processed electrical and digital signals are packaged into a unified data packet. Using the vehicle's internal communication network (such as the CAN bus), the data packet is transmitted from the data acquisition module to the central processing unit, ensuring real-time information updates.

[0083] Optionally, the central processing unit receives data packets and unpacks them to obtain sweat alcohol concentration and facial image information. It then uses a built-in algorithm model to analyze the alcohol concentration in the sweat. A facial recognition algorithm is used to analyze the facial image to determine if the driver is fatigued or inattentive. Combining the sweat alcohol concentration and facial recognition results, the central processing unit assesses the overall biological status information to determine the driver's current biological state.

[0084] Optionally, sensors and image acquisition devices are installed at key locations in the vehicle to ensure effective acquisition of the driver's biological status information. During driving, the sensors and image acquisition devices continuously monitor and record the alcohol concentration in excrement (such as sweat) and facial appearance. The collected information undergoes preliminary processing, converting it into an analyzable format, and is uploaded to the central processing unit via a communication network. The central processing unit receives and analyzes the data, uses intelligent algorithms to determine the driver's biological status, and makes tiered warnings or intervention decisions accordingly.

[0085] In the embodiments of this application, each step from data acquisition and processing to analysis and decision-making by the central processing unit is closely linked, ensuring that the vehicle can detect and respond to changes in the driver's biological state in real time and accurately, thereby improving the safety of vehicle operation.

[0086] As an optional implementation, in response to the data acquisition module acquiring image information and discharge information, the data acquisition module is controlled to send the image information and discharge information to the central processing unit, including: controlling the sensor to send the collected discharge information to the central processing unit, and controlling the image acquisition device to send the collected image information to the central processing unit.

[0087] In this embodiment, if the data acquisition module obtains image information and discharge information, it can control the data acquisition module to send the image information and discharge information to the central processing unit. In the process, it can control the sensor to send the collected discharge information to the central processing unit, or it can control the image acquisition device to send the collected image information to the central processing unit.

[0088] Optionally, when the vehicle starts and the driver grips the steering wheel, a high-precision sweat-alcohol sensor array deployed inside the steering wheel hub automatically activates, sensing the driver's sweat. Simultaneously, an image acquisition device (such as an infrared camera) facing the driver's face automatically enters working mode, ready to capture facial image information. The sensor array continuously contacts the driver's palm, monitoring alcohol molecules in the sweat and generating analog electrical signals in real time. The image acquisition device captures images of the driver's facial area around the clock, including eyes, head posture, and facial expressions, generating image data. The data acquisition module internally performs preliminary processing on the analog electrical signals, such as noise reduction and amplification, to ensure signal purity and regularity. It also performs preliminary compression and format conversion on the image data for easy transmission.

[0089] Optionally, the pre-processed exhaust information analog electrical signals and image information data are encapsulated into data packets to ensure data integrity and consistency. Upon receiving a system start signal or a trigger signal from the driver gripping the steering wheel, the data acquisition module actively controls the sensors and image acquisition equipment to send the data packets to the central processing unit. The central processing unit receives the data packets from the data acquisition module via the vehicle's internal communication network (such as the CAN bus). The signal processing module of the central processing unit unpacks the data packets, separating the image information and exhaust information analog electrical signals.

[0090] Optionally, the intelligent algorithm execution module applies an alcohol concentration calculation model to convert the information from the excrement after unpacking into a sweat alcohol concentration value. Simultaneously, it uses a facial recognition model to analyze image information to determine whether the driver is fatigued or distracted. The logical judgment and decision-making module combines the alcohol concentration value and facial recognition results to generate a judgment basis, providing data support for subsequent safety decisions.

[0091] In this embodiment, the data transmission process between the data acquisition module and the central processing unit is fundamental to the vehicle biometric monitoring system, ensuring efficient and orderly execution from biometric information perception, preprocessing, packaging to uploading, and unpacking, intelligent analysis, and logical judgment in the central processing unit. The key to this method lies in real-time performance, data accuracy, and processing efficiency, providing real-time monitoring and immediate response capabilities for driving safety.

[0092] As an optional implementation, the central processing unit includes a signal processing module, an intelligent algorithm execution module, and a logic judgment and decision module. The central processing unit determines biological state information based on image information and excrement information, including: using the signal processing module to preprocess the excrement information and image information received by the central processing unit to obtain preprocessed excrement information and preprocessed image information; using the substance concentration calculation model in the intelligent algorithm execution module to process the preprocessed excrement information to obtain first state information; and using the state recognition model in the intelligent algorithm execution module to process the preprocessed image information to obtain second state information. The first state information represents the concentration of the target substance in the skin excrement, and the second state information represents the state of the driver's facial area. The logic judgment and decision module then determines the biological state information based on the first and second state information.

[0093] In this embodiment, the central processing unit may include a signal processing module, an intelligent algorithm execution module, and a logic judgment and decision-making module. The signal processing module receives raw analog signals from sensors and converts them into digital signals via analog-to-digital conversion, facilitating subsequent intelligent algorithm execution and decision analysis. Preprocessing of the digital signals, including noise reduction and signal enhancement, ensures data purity and regularity, improving the accuracy of intelligent analysis. The processed digital signals are then transmitted to the central processing unit via a communication network (such as a CAN bus), ensuring efficient and reliable data transmission.

[0094] Optionally, the aforementioned intelligent algorithm execution module is used to perform in-depth analysis of the data output by the signal processing module using advanced algorithms. This may include a substance concentration calculation module (e.g., an alcohol concentration calculation model) and a state recognition model (facial state model). The substance concentration calculation model can accurately calculate the alcohol concentration in the driver's sweat based on the characteristic signals of alcohol molecules in sweat, using machine learning or specialized chemical algorithms. The state recognition model uses image processing and deep learning technologies to analyze image information to identify whether the driver is fatigued or inattentive, providing a real-time assessment of driving status.

[0095] Optionally, the logic judgment and decision-making module is used to make safety decisions based on the analysis results of the intelligent algorithm execution module. This module can compare the alcohol concentration value calculated by the intelligent algorithm execution module with preset multi-level safety thresholds to determine if it exceeds the safe range. Combined with the output of the facial state recognition model, a comprehensive assessment of the driver's current biological state is performed to determine if there is a safety risk. Based on the results of threshold comparison and state fusion assessment, corresponding warnings or intervention decisions are output, including mild prompts, moderate warnings, and even forced stopping, among other levels of response. The substance concentration calculation model can be an algorithmic framework used to accurately estimate sweat alcohol concentration from raw data. The design and working principle of the substance concentration calculation module is as follows: extract feature signals related to alcohol concentration from the raw signals collected by sensors. Through mathematical models or machine learning algorithms, the extracted feature signals are converted into specific alcohol concentration values. With the accumulation of more data, the model can improve the accuracy of alcohol concentration calculation through self-learning and optimization.

[0096] Optionally, the aforementioned state recognition model is an algorithmic system based on image information analysis of the driver's state. This model can be used to extract key facial features from facial images provided by image acquisition devices, such as eye opening and closing, and head posture changes. Using deep learning or pattern recognition technology, it identifies the driver's fatigue or inattentiveness based on the extracted facial features. This state recognition model can respond quickly, feeding back the recognition results to the logical judgment and decision-making module in real time, supporting immediate safety decisions.

[0097] Optionally, in the process of determining the biological state information based on image information and excrement information using the central processing unit, a signal processing module can be used to preprocess the excrement information and image information received by the central processing unit to obtain preprocessed excrement information and preprocessed image information. The substance concentration calculation model in the intelligent algorithm execution module can be used to process the preprocessed excrement information to obtain first state information. Alternatively, the state recognition model in the intelligent algorithm execution module can be used to process the preprocessed image information to obtain second state information. The biological state information is then determined using a logical judgment and decision module based on the first and second state information.

[0098] Optionally, the signal processing module receives raw image information and discharge information from the data acquisition module. This information may initially contain noise and interference. The raw analog electrical signals (discharge information) are converted from analog to digital, transforming them into computer-readable digital signals. Preliminary image processing is performed, which may include adjusting resolution, enhancing contrast, removing background interference, and ensuring image clarity and prominent facial features. Digital signal processing techniques are then used to filter out irrelevant noise and interference, and to adjust signal strength, ensuring a pure and consistent output signal.

[0099] Optionally, the intelligent algorithm execution module invokes an alcohol concentration calculation model to perform in-depth analysis of the pre-processed excrement information, accurately calculating the alcohol concentration in sweat and generating first-state information. Simultaneously, it invokes a facial recognition model to perform feature extraction and deep learning processing on the pre-processed image information, identifying whether the driver is fatigued or distracted, generating second-state information. The logical judgment and decision-making module compares the first-state information output by the alcohol concentration calculation model with a preset safety threshold to determine if it exceeds the warning value. It also considers the second-state information output by the facial recognition model to assess the driver's current mental and physical state. Based on these two aspects of information, the logical judgment and decision-making module integrates and generates comprehensive biological state information, covering both alcohol concentration and the driver's facial state. According to the synthesized biological state information, the module determines the appropriate level of response according to preset logical rules, ranging from mild warnings to emergency intervention, to adapt to different levels of safety risk.

[0100] Optionally, the signal processing module receives and converts the raw signals from the data acquisition module, preprocessing the image and electrical signals. The intelligent algorithm execution module uses a specialized algorithm model to calculate the alcohol concentration and identify the driver's facial state. The logical judgment and decision-making module comprehensively analyzes the above two parts of information, formulates corresponding safety response strategies based on the risk level, and generates a final biometric information report to guide subsequent safety actions.

[0101] As an optional implementation, the target state range includes a first target state range, a second target state range, and a third target state range. The safety level of the first target state range is greater than the safety level of the second target state range, and the safety level of the second target state range is greater than the safety level of the third target state range. Using a logic judgment and decision module, based on the first and second state information, the biological state information is determined, including: using the logic judgment and decision module, based on the first and second state information, determining that the concentration of the target substance is less than a first concentration threshold, thus determining that the biological state information is within the first target state range; using the logic judgment and decision module, based on the first and second state information, determining that the concentration of the target substance is greater than or equal to the first concentration threshold and less than the second concentration threshold, thus determining that the biological state information is within the second target state range; using the logic judgment and decision module, based on the first and second state information, determining that the concentration of the target substance is greater than or equal to the second concentration threshold, thus determining that the biological state information is within the third target state range.

[0102] In this embodiment, the target state range may include a first target state range, a second target state range, and a third target state range. Specifically, the first target state range (Level 1 warning) indicates that the driver is in a relatively safe driving state when the alcohol concentration in the driver's sweat is below a first concentration threshold (20mg / 100ml), meaning the driver's biological state information is within the first target state range. This first target state range indicates that the driver is not significantly affected by alcohol and can drive normally, representing the highest level of safety. Only a slight warning or no warning may be provided to avoid unnecessary interference with the driver, but continuous monitoring ensures continued safety.

[0103] Optionally, in the aforementioned second target state range (Level 2 warning), when the driver's sweat alcohol concentration reaches or exceeds the first concentration threshold (20mg / 100ml) but has not yet reached the second concentration threshold (80mg / 100ml), the biological status information is determined to be within the second target state range. This indicates that the driver has ingested a certain amount of alcohol, increasing the potential driving risk. Compared to Level 1 warning, the safety level is reduced, indicating a risk of drunk driving, but the driving ability is not yet completely impaired. More obvious warning measures will be triggered, such as displaying warning information on the central control screen, in-vehicle voice warnings, and limiting engine power to prevent the driver from entering a dangerous driving state, while continuously monitoring and adjusting the warning level.

[0104] Optionally, the aforementioned third target state range (Level 3 warning) is determined to be within the third target state range when the driver's sweat alcohol concentration reaches or exceeds the second concentration threshold (80mg / 100ml). This is a clear signal of drunk driving or driving under the influence of alcohol, posing an extremely high risk to driving safety. The safety level is lowest within the aforementioned third target state range, and the driver is in a state where they are unable to drive safely. The most stringent safety measures should be immediately triggered, such as forcibly stopping the vehicle safely, shifting to P gear and locking the doors, and providing continuous voice warnings and visual alarms to ensure the safety of the vehicle and passengers and prevent any potential traffic accidents.

[0105] Optionally, a first concentration threshold (e.g., 20 mg / 100 ml) can be used as the boundary for determining whether a driver has begun to be affected by alcohol. If the concentration of the target substance (alcohol concentration) is below the aforementioned first concentration threshold, the driver is considered not significantly affected by alcohol; if the alcohol concentration reaches or exceeds the aforementioned first concentration threshold, an initial warning response is initiated. The aforementioned first concentration threshold is set based on medical and traffic safety research, aiming to provide early warning and prevent drivers from entering dangerous situations.

[0106] Optionally, a second concentration threshold (80 mg / 100 ml) can be a key indicator for distinguishing between drunk driving and driving under the influence of alcohol. Reaching or exceeding this second concentration threshold will trigger emergency intervention measures to prevent serious consequences from drunk driving. The response measures triggered by this second concentration threshold are more drastic, designed to quickly and effectively prevent the driver from continuing to drive and protect public safety.

[0107] Optionally, in the process of determining the biological state information based on the first and second state information using the logical judgment and decision module, if the concentration of the target substance is determined to be less than a first concentration threshold based on the first and second state information, the biological state information is determined to be within the first target state range. If the concentration of the target substance is determined to be greater than or equal to the first concentration threshold and less than the second concentration threshold based on the first and second state information, the biological state information is determined to be within the second target state range. If the concentration of the target substance is determined to be greater than or equal to the second concentration threshold based on the first and second state information, the biological state information is determined to be within the third target state.

[0108] Optionally, when the logic judgment and decision-making module starts working, it receives first state information (alcohol concentration in sweat) and second state information (driver's facial state) from the intelligent algorithm execution module. It determines whether the concentration of the target substance (alcohol) is less than a first concentration threshold (e.g., 20mg / 100ml). If the condition is met, it indicates that the driver is not affected by alcohol or is minimally affected, and the biological state information is determined to be within the first target state range, i.e., a safe driving state. If the alcohol concentration is greater than or equal to the first concentration threshold but less than the second concentration threshold (e.g., 20mg / 100ml to 80mg / 100ml), the biological state information is determined to be within the second target state range, i.e., a potential drunk driving risk state. At this time, a comprehensive judgment needs to be made in conjunction with the second state information (facial state). When the alcohol concentration reaches or exceeds the second concentration threshold (e.g., 80mg / 100ml and above), the biological state information is determined to be within the third target state range, i.e., a drunk driving risk state.

[0109] Optionally, if the biometric status information is determined to be within the first target state range, the logic judgment and decision-making module analyzes whether the facial status information is displayed normally to confirm that the driver is in a safe driving state. For biometric status information within the second target state range, the module will further combine facial status information to assess whether the driver is fatigued, distracted, or otherwise in a state, which will determine the warning level to be taken by the system. When the biometric status information is within the third target state range, facial status information is no longer relied upon, and the highest level of safety intervention measures are directly triggered.

[0110] Optionally, based on the above analysis, the logic judgment and decision-making module generates specific early warning or intervention decisions. Correspondingly, the dispatching module executes vehicle feedback corresponding to the decisions, such as mild alerts, moderate warnings, or even emergency safety interventions, to ensure driving safety.

[0111] As an optional implementation, the vehicle includes a graphical user interface, a speaker, and an engine. Step S106 involves determining a control strategy corresponding to the target state range in response to the biological state information being within a target state range. This includes: determining a first control strategy corresponding to the first target state range in response to the biological state information being within a first target state range, wherein the first control strategy represents a rule for controlling the graphical user interface to respond to the first target state range; determining a second control strategy corresponding to the second target state range in response to the biological state information being within a second target state range, wherein the second control strategy represents a rule for controlling the graphical user interface, the speaker, and the engine to respond to the second target state range; and determining a third control strategy corresponding to the third target state range in response to the biological state information being within a third target state range, wherein the third control strategy represents a rule for controlling the graphical user interface, the speaker, and the engine to respond to the third target state range.

[0112] In this embodiment, the aforementioned first control strategy can be used to represent the rules governing the graphical user interface (GUI) in response to a first target state range. The first control strategy can indicate that when the biometric information is within the first target state range, the driver is minimally or unaffected, and is in a relatively safe driving state. The first control strategy can also involve issuing mild prompts or warnings through the GUI to educate and remind the driver to maintain good driving habits. The control panel displays warning text or icons, such as "Slight alcohol concentration detected, rest recommended" or similar information. This strategy aims to make the driver aware of their own condition through visual feedback while minimizing driving distractions and avoiding unnecessary panic or overreaction.

[0113] Optionally, the aforementioned second control strategy can be used to represent rules for controlling the graphical user interface, speakers, and engine in response to a second target state range. This second control strategy can be used to indicate that when biological state information is within the second target state range, it means the driver may have been affected to some extent, such as having a dangerously high alcohol concentration or fatigue level, but the vehicle can still be controlled. The second control strategy encompasses a wider range of interventions, including not only visual warnings from the graphical user interface but also audible alerts from the speakers and limitations on engine performance. The graphical user interface displays more prominent visual warnings, such as flashing warning lights or large-font reminders. Voice warnings are played through the in-vehicle speakers, such as "Please note that you may be driving under the influence of alcohol. It is recommended that you stop and rest immediately," or a continuous warning sound is played to attract the driver's attention. Engine control may include limiting maximum engine speed, reducing acceleration response, or limiting certain driving modes (such as Sport mode) to reduce potential driving risks.

[0114] Optionally, the aforementioned third control strategy can be used to represent the rules governing the graphical user interface, speakers, and engine in response to the third target state range. The third target state range represents the highest risk state, where the driver may be under very dangerous alcohol influence or in a state of extreme fatigue. The third control strategy employs the most stringent safety measures to immediately stop the vehicle's dangerous operation and ensure the safety of people and property. The graphical user interface displays the strongest warning messages and icons, such as large red warnings, and may even lock some driving-related functions until the situation improves. A continuous, loud warning sound is played through the speakers, and tactile feedback can be provided through methods such as seat vibration to ensure the driver perceives the warning even in a drowsy state. Engine power is forcibly reduced, or even completely shut off. For example, a safe parking procedure can be automatically initiated to gradually decelerate to a stop, or throttle response can be immediately limited to prevent vehicle acceleration, and if necessary, the vehicle can automatically shift to P (parking) gear, locking the engine start function to completely prevent the driver from continuing to drive.

[0115] Optionally, when the biological state information is within the target state range, during the process of determining the control strategy, if the biological state information is within a first target state range, a first control strategy corresponding to the first target state range can be determined. If the biological state information is within a second target state range, a second control strategy corresponding to the second target state range can be determined. If the biological state information is within a third target state range, a third control strategy corresponding to the third target state range can be determined.

[0116] Optionally, sensors collect and analyze the driver's biological state information (such as blood alcohol concentration and fatigue level). Based on the analysis results, the logic judgment and decision-making module determines which target state range (first, second, or third) the biological state information belongs to. According to the determined target state range, the system executes the corresponding control strategy to ensure driving safety.

[0117] Optionally, before starting, ensure that all vehicle systems (graphical user interface, speakers, engine control) are in standby mode, ready to receive instructions from the central processing unit. The signal processing module preprocesses the sensor data. The intelligent algorithm execution module analyzes the preprocessed data and generates first and second state information regarding alcohol concentration and facial condition. The logical judgment and decision-making module comprehensively evaluates the first and second state information to determine the target state range to which the biological state information belongs.

[0118] Optionally, when the blood alcohol concentration is determined to be <20mg / 100mL, and there is no obvious fatigue or distraction, only the graphical user interface (center console) is activated, displaying a mild text prompt, such as "Attention, a low blood alcohol concentration has been detected. It is recommended to remain sober." When the blood alcohol concentration is determined to be 20mg / 100mL ≤ blood alcohol concentration < 80mg / 100mL, regardless of whether fatigue or distraction is present, the graphical user interface displays a warning message, such as "Warning, blood alcohol concentration detected. Please drive safely." A continuous voice warning is issued through the in-vehicle speaker, "Please note that you may be driving under the influence of alcohol. Take immediate action." The engine management system is controlled to limit engine power output, prevent the vehicle from driving at high speeds, and trigger the idle start-stop system to ensure that the vehicle can decelerate smoothly if necessary. When the blood alcohol concentration is determined to be ≥80mg / 100mL, the emergency stop procedure is immediately triggered. The graphical user interface displays a serious warning message, such as "Emergency! Extremely high blood alcohol concentration detected. Automatic stop is imminent." An urgent voice warning is continuously issued through the speaker, "Emergency situation. The vehicle will automatically stop safely soon." The engine control system immediately reduces vehicle power and triggers a safety stop procedure, including activating hazard lights, slowly braking to a stop, forcibly shifting to P gear, and locking the engine start function.

[0119] Optionally, based on the determined target state range, the system scheduling module will adopt corresponding control strategies, sending commands via the CAN bus to the vehicle's graphical user interface, speakers, and engine control system to ensure rapid and accurate response at each stage. During execution, the system will continuously monitor the driver's biological state, dynamically adjusting the control strategy if the situation improves or deteriorates.

[0120] In the embodiments of this application, the above method can take safety measures ranging from mild warnings to emergency interventions according to different risk levels of the driver's biological state, effectively preventing traffic accidents caused by drunk driving and fatigued driving, and ensuring driving safety.

[0121] As an optional implementation, the vehicle includes a system scheduling module that controls the vehicle to perform adjustment operations according to a control strategy, including: controlling the graphical user interface to send prompt information to the driver according to a first control strategy via the system scheduling module; controlling the graphical user interface to send prompt information to the driver, controlling the speaker to send voice information to the driver, and controlling the engine to be in an idle start-stop state according to a second control strategy via the system scheduling module; and controlling the graphical user interface to send prompt information to the driver, controlling the speaker to send voice information to the driver, and controlling the engine to shift to parking gear and lock the engine starting function according to a third control strategy via the system scheduling module.

[0122] In this embodiment, the system scheduling module can be a central coordinating component, used to receive control commands from the logic judgment and decision-making module and accurately distribute these commands to various relevant systems and components of the vehicle, such as the graphical user interface, speakers, and engine control system, ensuring that the vehicle can perform corresponding adjustment operations based on the decisions of the biological state monitoring system. It receives commands from the central processing unit, such as "display warning information," "play voice warning," or "reduce engine power," and ensures that these commands are executed quickly and accurately by various parts of the vehicle. In the second or third control strategy, the system scheduling module needs to coordinate the operation of multiple vehicle systems (graphical user interface, speakers, engine) simultaneously to ensure that the operation between each system is coordinated and consistent to achieve the expected safety effect.

[0123] Optionally, warning messages refer to visual alerts sent to the driver by the system dispatch module through a graphical user interface (such as the dashboard center console) according to the control strategy. These messages instantly convey the driver's current biological state and the urgency of the system response, aiming to allow the driver to quickly recognize potential risks and take appropriate action through visual perception. The system dispatch module, based on a first control strategy or a higher-level strategy, controls the graphical user interface to display a series of warning texts, such as "Caution: Blood alcohol concentration slightly elevated, please remain sober" or "Warning: Blood alcohol concentration exceeds the limit, please stop immediately." The textual warning messages are clear and direct, quickly conveying the system's judgment and recommendations. In addition to textual information, the graphical user interface may also display specific warning icons, such as a red alcohol warning light or a closed-eye icon indicating fatigue driving. These icons intuitively express the results of biological state monitoring, allowing drivers to quickly understand the warning information even when they have difficulty reading text. The richness and urgency of the warning messages will vary depending on the target state range. Level 1 warnings may only display brief text prompts; Level 2 warnings may combine text and icons, and may also have a flashing effect to increase attention; Level 3 warnings may display more conspicuous warning information, and may also have continuous flashing or special color coding to ensure that drivers are immediately aware of the seriousness of the situation.

[0124] Optionally, during the process of controlling the vehicle to perform adjustment operations according to the control strategy, the system scheduling module can control the graphical user interface to send prompts to the driver according to the first control strategy. Alternatively, the system scheduling module can control the graphical user interface to send prompts to the driver according to the second control strategy, and can also control the speaker to send voice messages to the driver, and control the engine to be in idle start-stop mode. Alternatively, the system scheduling module can control the graphical user interface to send prompts to the driver according to the point control strategy, and can also control the speaker to send voice messages to the driver, and control the engine to shift to parking gear and lock the engine starting function.

[0125] Optionally, the system scheduling module receives the first control strategy signal from the central processing unit. The system scheduling module sends a command to the center console (graphical user interface) requesting the display of a mild warning message, such as "Mild alcohol effect detected, please remain sober while driving." The system scheduling module continuously monitors biological status information, preparing to receive the next control command. Only the graphical user interface is activated to display text warning messages. The warning messages are designed as mild alerts that do not interfere with driving, aiming to increase the driver's alertness.

[0126] Optionally, the system scheduling module receives a second control strategy signal from the central processing unit. It sends a command to the center console to display a stronger visual warning, such as "Warning: Blood alcohol concentration is higher than normal, please take immediate action." Simultaneously, it sends a command to the in-vehicle speakers to play a clear voice warning, "Warning: Abnormal blood alcohol concentration detected, please stop and rest." The system scheduling module sends a command to the engine control system, requesting that the engine be switched to idle start-stop mode to limit engine power output and prevent vehicle acceleration. The system continuously monitors biological status information; if the situation deteriorates to the third target state range, it prepares to immediately escalate to the third control strategy. Visual and auditory warnings are triggered simultaneously to ensure the driver's full awareness of the current state. Engine power limitation reduces the potential risks of driving under the influence of alcohol.

[0127] Optionally, the system scheduling module receives a third control strategy signal from the central processing unit. It sends a command to the center console to display the strongest visual warning message, such as "Emergency: High blood alcohol concentration, dangerous situation, vehicle will automatically stop soon." Simultaneously, it sends a command to the in-vehicle speakers to play a continuous, urgent voice warning, "Emergency situation, vehicle will automatically stop soon, please cooperate." The system scheduling module sends a command to the engine control system to immediately execute a safe stopping procedure, including: shifting the gear to park (P); locking the engine start function to prevent the driver from restarting the vehicle; controlling the vehicle to perform an emergency safe stop, such as slowly decelerating to a stop and activating the hazard lights. It takes the strictest intervention measures to ensure the driver can no longer control the vehicle, eliminating the risk of drunk driving. The automatic stopping function, combined with visual and auditory warnings, provides the highest level of safety protection for the driver and surrounding road users.

[0128] In this embodiment, the method described above illustrates a progressive safety response mechanism from mild alerts to emergency intervention. This mechanism aims to take appropriate measures based on the severity of the driver's biological status information, protecting not only the driver's own safety but also the lives and property of other road users. The system scheduling module, as the core coordinator, ensures that each vehicle component can quickly and accurately execute adjustment operations according to the instructions of the central processing unit, achieving intelligent proactive safety protection.

[0129] The technical solutions of the embodiments of this application will be illustrated below with reference to preferred embodiments.

[0130] Currently, the development of new energy vehicles is rapid, with various new technologies emerging one after another. In particular, car manufacturers have put a lot of effort into safety, especially in terms of active safety. Active safety in automobiles refers to the use of advanced technologies and systems to proactively prevent or reduce the risk of collisions before an accident occurs. The mainstream design in the market is driver fatigue warning and active driver monitoring system (DMS) detection, also known as active DMS fatigue detection technology. This system is based on cameras and near-infrared technology to detect the driver's state by observing eye closure, blinking, gaze direction, yawning, and head movements, and then provides feedback through lights, voice, vibration, etc. At present, active safety in automobiles is basically achieved by providing feedback to the driver through lights, voice, and vibration during the driving process.

[0131] However, while related technologies can effectively address fatigue and distraction during driving, their functional boundaries are clearly limited and cannot meet the needs of preventing and controlling drunk driving, a major safety hazard. For example, some devices that rely on the driver's active breathalyzer test are not only cumbersome to operate but also have a problem with delayed monitoring response, often only detecting the driver when the driver is already in a dangerous driving state. Some monitoring methods are also relatively simple, only detecting alcohol concentration, but unable to combine the driver's driving state (such as fatigue, distraction, etc.) for a comprehensive judgment, which has a low degree of humanization. These defects make it difficult for traditional technologies to effectively and timely avoid safety accidents caused by drunk driving.

[0132] In related technologies, the main focus is on confirming the driver's state during driving, such as DMS fatigue detection. This system can determine if a driver is fatigued based on actions like eyelid closure, blinking, and gaze direction. While this system can indeed prevent accidents caused by fatigued driving and ensure the safety of other road users, it has the following shortcomings: 1) Although it can prevent fatigued driving, it cannot detect whether the driver has been drinking, thus failing to prevent accidents caused by drunk driving; 2) Insufficient response loop. Some DMS systems fail to achieve a sufficient response loop, only providing mild prompts. When continuous driver ineffectiveness is detected (such as fatigue, inattention, and lack of response to prompts), it cannot proactively activate the "emergency automatic lane-keeping system" to smoothly stop the vehicle, nor can it automatically switch control modes to perform actions such as speed limiting, lane changing, lane-keeping, and parking, or repeatedly notify the user of the current system status through the Human Machine Interface (HMI), such as through audio or vibration.

[0133] To address the shortcomings of existing technologies, this application provides a driver's seat alcohol detection and reminder system for automobiles, which has the advantages of high integration and user-friendly graded response. It solves the problems of delayed response, single method, and lack of user-friendliness in related technologies, making it difficult to effectively avoid safety accidents caused by drunk driving.

[0134] The methods of the embodiments of this application will be further illustrated below.

[0135] In this embodiment of the application, to achieve the above-mentioned goals of high integration and user-friendly hierarchical response, the following technical solution is provided: a driver's seat alcohol detection and reminder system for automobiles, including a central processing unit, a data acquisition module electrically connected to the signal input terminal of the central processing unit, and a system scheduling module electrically connected to the signal output terminal of the central processing unit.

[0136] The central processing unit integrates a signal processing module, an intelligent algorithm execution module, and a logic judgment and decision-making module. The data acquisition module includes a high-precision sweat alcohol sensor array and an infrared camera facing the driver. The high-precision sweat alcohol sensor array is integrated inside the steering wheel hub, and the infrared camera is positioned in front of the driver's seat. The system scheduling module is integrated into the vehicle's existing domain controller; its signal input is electrically connected to the signal output of the central processing unit, and its signal output is electrically connected to the center console panel, the in-vehicle speakers, and the vehicle's engine control system.

[0137] The signal processing module preprocesses the raw analog electrical signals uploaded by the data acquisition module and converts them into digital signals. The intelligent algorithm execution module has built-in algorithm models including an alcohol concentration calculation model and a facial recognition model. The intelligent algorithm execution module receives and analyzes the processed digital signals, calculates the driver's sweat alcohol concentration value, and identifies their driving status using the built-in algorithm models.

[0138] The logic judgment and decision module is used to compare the calculated alcohol concentration value with the preset multi-level safety thresholds, and to combine the driver status results output by the facial state recognition model. Based on the comprehensive judgment results, the module outputs the corresponding warning decision instructions. The logic judgment and decision module has preset multi-level alcohol concentration safety thresholds, including a first-level warning threshold, a second-level warning threshold, and a third-level intervention threshold.

[0139] The first-level warning command is configured to trigger the system scheduling module, controlling the display of text reminder information on the driver's center console screen. The second-level warning command is configured to trigger the system scheduling module, controlling the display of warning information on the driver's center console screen and controlling the in-vehicle speakers to emit a voice warning, while simultaneously controlling the vehicle's engine control system to limit engine power and trigger forced idle start-stop. The third-level warning command is configured to trigger the system scheduling module, immediately triggering a safe stopping procedure (such as activating hazard lights and slowly braking to a stop), forcibly shifting to P gear and locking the engine start function, while simultaneously displaying a serious warning message and issuing a continuous voice warning. The central processing unit, data acquisition module, and system scheduling module communicate via the vehicle's CAN bus. The high-precision sweat alcohol sensor array, the part that contacts the driver's palm, is encapsulated in breathable and wear-resistant material, and its surface is coated with an antibacterial coating.

[0140] Compared with related technologies, this application provides a driver's seat alcohol detection and warning system for automobiles, which has the following beneficial effects: This driver's seat alcohol detection and warning system, by setting up a central processing unit, after the central processing unit receives raw, multimodal sensor data from the data acquisition module, firstly, the signal processing module preprocesses the raw electrical signals, converting the analog signals into clean, regular digital signals. Then, the intelligent algorithm execution module uses a built-in algorithm model to analyze the processed data, such as analyzing images captured by an infrared camera, to determine whether the driver is fatigued or distracted, and simultaneously accurately calculates the alcohol in sweat. The final logic judgment and decision-making module compares the specific alcohol concentration value calculated by the intelligent algorithm module with the preset safety threshold. Based on different conditions, it makes a preliminary logical judgment and determines the warning level to be triggered. In this way, the unit highly integrates signal processing, intelligent algorithms, and decision-making functions into one unit, avoiding the delay and complexity caused by traditional distributed processing. At the same time, it can make graded and progressive decisions based on subtle differences in alcohol concentration. This approach makes the system response more scientific and humane, taking the most appropriate measures for different risk levels, providing necessary warnings, and avoiding overly aggressive reactions in low-risk situations. This automotive driver's seat alcohol detection and warning system uses a data acquisition module. A sweat alcohol sensor array detects the concentration of alcohol molecules evaporating from the driver's sweat through contact, converting it into an analog electrical signal. Simultaneously, an infrared camera actively emits infrared light and receives reflected signals, unaffected by ambient light levels. It can clearly capture the driver's facial image, particularly visual information such as eye opening and closing, head posture, and gaze direction, all day and night, and convert this information into analog electrical signals. These two types of electrical signals are then continuously and in real-time transmitted via a data bus to the system's core—the central processing unit—providing raw materials for subsequent in-depth analysis. Thus, this module achieves multi-source sensing, seamless integration, and real-time transmission, providing the entire system with high-precision, highly reliable, all-weather, and user-friendly raw data.

[0141] Figure 2 This is a schematic diagram of a driver's seat alcohol detection and warning system for automobiles according to an embodiment of this application, as shown below. Figure 2As shown, the system may include a data acquisition module 201, a central processing unit 202, a system scheduling module 203, a driver's center console 204, in-vehicle speakers 205, and a vehicle engine 206. The data acquisition module 201 collects raw data on the driver's biological state. The central processing unit 202 performs signal processing, intelligent analysis, and logical decision-making. The system scheduling module 203 receives decision instructions from the central processing unit and coordinates the various vehicle components to perform corresponding adjustments. It is closely connected to the interfaces of the driver's center console, in-vehicle speakers, and the vehicle engine control system. Based on the instructions from the central processing unit 202, the system scheduling module 203 sends signals to each component via the vehicle's CAN bus to execute specific control strategies. This achieves efficient communication and scheduling between the central processing unit's instructions and the vehicle's execution components, ensuring rapid implementation of warnings and interventions. The driver's center console 204 displays prompts from the central processing unit. Depending on the control strategy, it displays text reminders, warning messages, or emergency warning messages, providing the driver with intuitive visual feedback and enhancing their awareness of abnormal biological states. The in-vehicle speaker 205 is used to play voice warnings. Under the Level 2 warning and Level 3 intervention strategies, more urgent voice warnings are played to remind the driver to take immediate action. Emergency information is conveyed through sound to ensure timely warnings are received even when the driver's visual attention is distracted. The vehicle engine 206 is controlled by the system scheduling module. Based on instructions from the central processing unit, it performs operations such as limiting engine power, idling start-stop, automatically shifting to park (P) gear, and locking the engine start function. Under higher risk levels, by limiting or controlling the engine status, potential dangers from drunk driving or fatigued driving are prevented.

[0142] Figure 3 This is a schematic diagram of a data acquisition module according to an embodiment of this application, such as... Figure 3As shown, the data acquisition module 30 may include a sweat alcohol sensor array 31 and an infrared camera 32. The sweat alcohol sensor array 31 is a key component of the data acquisition module, primarily used to detect the alcohol content in the driver's sweat. The sensor array typically consists of multiple highly sensitive chemical sensors that can chemically react with alcohol molecules volatilized from sweat, generating measurable changes in electrical signals. The sensor array is designed to enhance data accuracy and stability by averaging or cross-validating readings from multiple sensors to reduce errors and improve overall detection accuracy. The sensor array is integrated into the inner side of the steering wheel hub, a location that ensures direct contact between the sensors and the driver's palm, enabling real-time and efficient acquisition of sweat samples for alcohol concentration detection. This contact-based detection method is unaffected by environmental factors such as lighting conditions, providing stable data acquisition capabilities in all weather conditions. Furthermore, due to direct skin contact, it can instantly reflect changes in the driver's biological state, providing timely and accurate data support for subsequent intelligent analysis. Infrared camera 32 is another important data source. It images using the infrared spectrum, capable of capturing clear facial images under any lighting conditions, making it particularly suitable for nighttime or low-light environments. Infrared cameras image by emitting infrared light and capturing the reflected infrared light from objects. This allows them to penetrate obstacles such as darkness or smoke, which the visible spectrum cannot penetrate, to obtain high-quality images. This camera primarily focuses on the driver's facial state, including but not limited to eye movements, head posture, and facial expressions, using this information to analyze whether the driver is fatigued or distracted. The infrared camera is positioned in front of the driver's seat, typically above the dashboard or near the rearview mirror. This positioning allows for comprehensive capture of the driver's facial information without obstructing the driver's view or operation.

[0143] Figure 4 This is a schematic diagram of a central processing unit according to an embodiment of this application, such as... Figure 4As shown, the central processing unit 40 may include a signal processing module 41, an intelligent algorithm execution module 42, and a logic judgment and decision-making module 43. The signal processing module 41 is a key component within the central processing unit responsible for data preprocessing. Its main task is to convert the raw analog signals from the data acquisition module into digital signals suitable for subsequent analysis. The data received by the signal processing module may contain noise or have inconsistent signal strength; therefore, signal filtering is first performed to eliminate interference signals and retain valid signals. Analog-to-digital conversion converts the analog signals into digital signals for further processing by computer algorithms. In addition, the signal processing module can also perform signal enhancement and standardization to ensure data quality and consistency. The intelligent algorithm execution module 42 is the core analysis component in the central processing unit. It runs a series of algorithm models to analyze the processed digital signals and identify the driver's biological state information. This module incorporates an alcohol concentration calculation model and a facial state recognition model. The alcohol concentration calculation model calculates the alcohol concentration in the driver's sweat based on data from the sweat alcohol sensor array using complex mathematical algorithms and statistical models. The facial state recognition model analyzes facial images captured by an infrared camera to identify whether the driver is in an abnormal state such as fatigue or distraction. Intelligent algorithms can learn and optimize based on a large amount of training data, continuously improving the accuracy and robustness of recognition. The logical judgment and decision-making module 43 performs logical judgments based on the biological state data calculated by the intelligent algorithm execution module and in combination with preset safety thresholds, determining corresponding early warning or intervention measures.

[0144] Figure 5 This is a schematic diagram of the judgment logic of a system logic judgment and decision module according to an embodiment of this application, such as... Figure 5 As shown, the logic judgment and decision module 50 can preset multiple levels of alcohol concentration safety thresholds, including Level 1 warning, Level 2 warning, and Level 3 warning. The Level 1 warning corresponds to an alcohol concentration < 20 mg / 100 ml. The Level 2 warning corresponds to an alcohol concentration ≥ 20 mg / 100 ml and < 80 mg / 100 ml. The Level 3 warning corresponds to an alcohol concentration ≥ 80 mg / 100 ml.

[0145] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties. Furthermore, the collection, use and processing of the relevant data must comply with the relevant laws, regulations and standards of the relevant countries and regions, and corresponding operation entry points are provided for users to choose to authorize or refuse.

[0146] According to another aspect of the embodiments of this application, corresponding to the embodiments of the above-described vehicle control method, this specification also provides a vehicle control device.

[0147] Figure 6 This is a schematic diagram of a vehicle control device according to an embodiment of this application, such as... Figure 6 As shown, the vehicle control device 60 may include: an acquisition module 602, a first determination module 604, a second determination module 606, and a control module 608. The acquisition module 602 is used to acquire image information of the driver in the vehicle and information about the driver's emissions. The first determination module 604 is used to determine the driver's biological state information based on the image information and the emissions information. The second determination module 606 is used to determine a control strategy corresponding to the target state range in response to the biological state information being within a target state range. The control module 608 is used to control the vehicle to perform adjustment operations according to the control strategy.

[0148] Embodiments of this application also provide a vehicle, including: a memory storing an executable program; and a processor for running the program, wherein the program executes the methods described in various embodiments of this application when it runs.

[0149] Embodiments of this application also provide a computer-readable storage medium including a stored executable program, wherein, when the executable program is running, it controls the device where the computer-readable storage medium is located to perform the methods of various embodiments of this application.

[0150] Embodiments of this application also provide a computer program product, including a computer program that, when executed by a processor, implements the methods of various embodiments of this application.

[0151] Embodiments of this application also provide a computer program product, including a non-volatile computer-readable storage medium for storing a computer program that, when executed by a processor, implements the methods in various embodiments of this application.

[0152] Embodiments of this application also provide a computer program that, when executed by a processor, implements the methods described in the various embodiments of this application.

[0153] In the above embodiments of this application, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0154] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. The device embodiments described above are merely illustrative; for example, the division of units can be a logical functional division, and in actual implementation, there may be other division methods. For instance, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the displayed or discussed mutual coupling, direct coupling, or communication connection may be through some interfaces; the indirect coupling or communication connection between units or modules may be electrical or other forms.

[0155] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0156] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0157] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, read-only memory (ROM), random access memory (RAM), portable hard drives, magnetic disks, or optical disks.

[0158] The above description is only a preferred embodiment of this application. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the principle of this application, and these improvements and modifications should also be considered within the scope of protection of this application.

Claims

1. A method for controlling a vehicle, characterized in that, include: Acquire image information of the driver in the vehicle, and information on the driver's excrement, wherein the excrement information is used to indicate the content of a target substance in the driver's skin excrement, and the target substance is used to affect the driver's safety level while driving the vehicle; Based on the image information and the exhaust information, the biological state information of the driver is determined, wherein the biological state information is used to represent the physical state of the driver during the vehicle's operation; In response to the biological state information being within a target state range, a control strategy corresponding to the target state range is determined, wherein the safety level corresponding to the target state range is lower than a safety level threshold, and the control strategy is used to represent the rules for controlling the vehicle to adjust the safety level; According to the control strategy, the vehicle is controlled to perform an adjustment operation, wherein the adjustment operation is used to adjust the safety level, and the adjusted safety level is greater than or equal to the safety level threshold.

2. The method according to claim 1, characterized in that, The vehicle includes a data acquisition module and a central processing unit, which determines the biological state information of the driver based on the image information and the exhaust information, including: In response to the data acquisition module acquiring the image information and the excrement information, the data acquisition module is controlled to send the image information and the excrement information to the central processing unit; The central processing unit uses the image information and the excrement information to determine the biological state information.

3. The method according to claim 2, characterized in that, The data acquisition module includes at least one sensor and an image acquisition device to acquire image information of the driver in the vehicle, as well as information on the emissions emitted by the driver, including: The system acquires exhaust information using at least one of the sensors and acquires image information using the image acquisition device, wherein at least one of the sensors is deployed inside the steering wheel hub of the vehicle, the image acquisition device is deployed in the facial area facing the driver, and the image content of the image information includes at least the facial area.

4. The method according to claim 3, characterized in that, In response to the data acquisition module acquiring the image information and the excrement information, the data acquisition module is controlled to send the image information and the excrement information to the central processing unit, including: The sensor is controlled to send the collected discharge information to the central processing unit, and the image acquisition device is controlled to send the collected image information to the central processing unit.

5. The method according to claim 2, characterized in that, The central processing unit includes a signal processing module, an intelligent algorithm execution module, and a logic judgment and decision-making module. Using the central processing unit, based on the image information and the excrement information, the biological state information is determined, including: The signal processing module is used to preprocess the discharge information and image information received by the central processing unit to obtain preprocessed discharge information and preprocessed image information. The substance concentration calculation model in the intelligent algorithm execution module is used to process the preprocessed excrement information to obtain first state information, and the state recognition model in the intelligent algorithm execution module is used to process the preprocessed image information to obtain second state information. The first state information is used to represent the concentration of the target substance in the skin excrement, and the second state information is used to represent the state of the facial area of ​​the driving object. The biological state information is determined using the logic judgment and decision module based on the first state information and the second state information.

6. The method according to claim 5, characterized in that, The target state range includes a first target state range, a second target state range, and a third target state range. The security level of the first target state range is greater than the security level of the second target state range, and the security level of the second target state range is greater than the security level of the third target state range. Using the logical judgment and decision module, based on the first state information and the second state information, the biological state information is determined, including: Using the logic judgment and decision module, based on the first state information and the second state information, it is determined that the concentration of the target substance is less than the first concentration threshold, and the biological state information is determined to be within the first target state range; Using the logic judgment and decision module, based on the first state information and the second state information, it is determined that the concentration of the target substance is greater than or equal to the first concentration threshold and less than the second concentration threshold, and the biological state information is determined to be within the second target state range; Using the logic judgment and decision module, based on the first state information and the second state information, it is determined that the concentration of the target substance is greater than or equal to the second concentration threshold, and the biological state information is determined to be within the third target state range.

7. The method according to claim 6, characterized in that, The vehicle includes a graphical user interface, speakers, and an engine. In response to the biological state information being within a target state range, a control strategy corresponding to the target state range is determined, including: In response to the biological state information being within the first target state range, a first control strategy corresponding to the first target state range is determined, wherein the first control strategy is used to represent a rule for controlling the graphical user interface to respond to the first target state range; In response to the biological state information being within the second target state range, a second control strategy corresponding to the second target state range is determined, wherein the second control strategy is used to represent controlling the graphical user interface, the speaker, and the engine in response to the rules of the second target state range; In response to the biological state information being within the third target state range, a third control strategy corresponding to the third target state range is determined, wherein the third control strategy is used to represent the rules for controlling the graphical user interface, the speaker, and the engine in response to the third target state range.

8. The method according to claim 7, characterized in that, The vehicle includes a system scheduling module that, according to the control strategy, controls the vehicle to perform adjustment operations, including: The system scheduling module, in accordance with the first control strategy, controls the graphical user interface to send prompt information to the driver. The system scheduling module, in accordance with the second control strategy, controls the graphical user interface to send the prompt information to the driver, controls the speaker to send voice information to the driver, and controls the engine to be in idle start-stop mode. According to the third control strategy, the system scheduling module controls the graphical user interface to send the prompt information to the driver, controls the speaker to send the voice information to the driver, and controls the engine to switch to parking gear and lock the engine starting function.

9. A vehicle, characterized in that, include: Memory, which stores executable programs; A processor for running the program, wherein the program, when running, performs the method according to any one of claims 1 to 8.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium includes a stored executable program, wherein, when the executable program is executed, it controls the device on which the storage medium is located to perform the method according to any one of claims 1 to 8.

Images