Intelligent control method and device for child lock of vehicle

Abstract

The invention provides an intelligent control method and device for a child lock of a vehicle. The intelligent control method comprises the following steps that physiological and behavior data of passengers are collected through a vehicle sensor; checking whether the vehicle child lock is in a locked state or not; if yes, acquiring a safety airbag triggering state, and judging whether the vehicle is emergently braked or not; if yes, the current vehicle speed is obtained, whether vehicle emergency braking is completed or not is detected, and when it is detected that vehicle emergency braking is completed, a vehicle child lock is automatically unlocked; if not, establishing a model through the passenger physiological and behavior data, and judging whether the passenger is a high-risk group; and if it is detected that the high-risk crowd exists in the vehicle, the vehicle child lock is automatically started. The problems that an automobile backseat child safety lock needs to be manually closed, potential safety hazards occur when high-risk people open a door by mistake, and the child lock cannot be automatically unlocked under the emergency situation, so that the safety of passengers in an automobile is seriously affected are solved.

Description

Technical Field

[0001] The present invention relates to the field of vehicle technology, and in particular to an intelligent control method and device for a vehicle child lock. Background Art

[0002] With rapid economic development and rising living standards, people's demands for vehicles are increasing. Existing vehicle safety measures still have shortcomings in many areas, particularly when it comes to ensuring the safety of passengers. Traditional child locks rely on manual operation, requiring users to manually open and close the lock before driving, and it's inconvenient to check whether the lock is locked. This manual operation can easily lead to users forgetting to activate the lock, which can lead to traffic accidents caused by children accidentally opening the door while driving, seriously impacting children's safety. Furthermore, existing technologies lack the ability to identify the emotional state of rear-seat passengers and automatically lock the door accordingly. For example, if a rear-seat passenger is intoxicated, mentally ill, or otherwise behaving erratically while the vehicle is in motion, they might engage in dangerous actions, such as suddenly opening the door or interfering with the driver. This could threaten not only their own safety but also the safety of other passengers. Without an effective identification and locking mechanism, these potential risks cannot be effectively controlled. A further problem is that in emergencies such as vehicle collisions, existing child locks often remain locked, delaying passengers' rapid evacuation. This can prevent passengers from escaping quickly in an emergency, increasing the risk of secondary injuries. Summary of the Invention

[0003] The problem solved by the present invention is that the child safety locks on the rear seats of cars need to be closed manually, which may cause safety hazards when high-risk people accidentally open the car doors, and the child locks cannot be automatically released in an emergency, which has a serious impact on the safety of passengers in the car.

[0004] To solve the above problems, the present invention provides an intelligent control method for vehicle child locks, comprising the following steps: collecting passenger physiological and behavioral data through vehicle sensors; checking whether the vehicle child lock is in a locked state; if so, obtaining the airbag triggering state to determine whether the vehicle is in emergency braking; if emergency braking is in progress, obtaining the current vehicle speed to detect whether the vehicle emergency braking is completed, and automatically unlocking the vehicle child lock when completion is detected; if not, establishing a model based on the passenger physiological and behavioral data to determine whether the passenger is a high-risk group; and automatically enabling the vehicle child lock if a high-risk group is detected on board.

[0005] The technical effect achieved after adopting this technical solution: The existing technology relies on the user to manually operate the child lock, which has the risk of inadvertent activation. Compared with the existing technology, the present invention automatically identifies the passenger status and intelligently controls the child lock to ensure that passengers can evacuate in time and avoid delays in escape due to locking. By collecting the physiological and behavioral data of the passengers, the present invention can accurately determine whether there are children or high-risk groups such as emotionally excited, drunk, and mentally abnormal in the car, and automatically activate the vehicle child lock when they are at relevant risks to prevent them from misoperating the door and causing danger, effectively ensuring the safety of passengers in the car. During normal driving of the vehicle, the system can dynamically control the opening and closing of the child lock according to the passenger status; in the event of emergency braking or airbag triggering, the system can quickly determine whether the emergency braking process is completed, and automatically release the child lock at the appropriate time to ensure that passengers can evacuate in time and avoid delays in escape due to locking.

[0006] Furthermore, the physiological and behavioral data of passengers are collected through vehicle sensors, and the collection of passenger physiological and behavioral data includes: pressure detection, facial image detection, heart rate feature detection, language information detection and alcohol detection; the following steps are included: pressure detection obtains passenger weight information through a pressure sensor; facial image inspection is collected through an in-vehicle camera, and the passenger identity is judged based on face recognition technology; heart rate feature detection is obtained through a heart rate detector to obtain the passenger's heart rate; language information detection is collected through a microphone, and combined with an intelligent voice processor to analyze the passenger's emotional state; alcohol detection is carried out through an alcohol detector to detect whether the alcohol concentration value of the exhaled gas of the rear passengers reaches a preset concentration threshold.

[0007] This technical solution achieves the following benefits: Multiple detection methods work together to avoid false locks or unlocks caused by misjudgments from a single sensor, significantly improving system stability and accuracy, ensuring scientific and rational decision-making even in complex in-vehicle environments. The entire recognition and control process requires no manual intervention; the system operates fully automatically in the background, enhancing ease of use and enhancing the sense of technology while reducing the operational burden, making it suitable for diverse scenarios.

[0008] Furthermore, obtaining the airbag triggering status and determining whether the vehicle is in emergency braking includes the following steps: obtaining the current vehicle speed, obtaining information on whether the airbag is deployed through the vehicle electronic sensor, and determining whether the vehicle is in emergency braking.

[0009] The technical effect achieved by adopting this solution: By using the vehicle's electronic sensors to monitor whether the airbag has been triggered in real time and combining it with current vehicle speed data for comprehensive judgment, it can accurately identify whether the vehicle has experienced an emergency braking or collision accident. Compared with traditional judgment methods that rely solely on acceleration changes, this solution improves the accuracy and reliability of recognition. After detecting the vehicle's emergency braking, the system can quickly enter an emergency response process, such as automatically releasing the child lock, activating the emergency alarm, and activating the automatic door unlocking mechanism, ensuring that passengers, especially children or high-risk groups, can escape or receive rescue in a timely manner, effectively reducing the risk of secondary injury.

[0010] Furthermore, the current vehicle speed is obtained and whether the vehicle emergency braking is completed is detected, including the following steps: obtaining the current vehicle speed again and detecting whether the vehicle emergency braking is completed; if the vehicle emergency braking is completed, automatically releasing the vehicle child lock; if the vehicle emergency braking has not been completed, keeping the vehicle child lock locked.

[0011] The technical effect achieved by adopting this solution: During emergency braking, the system continuously monitors changes in vehicle speed to accurately determine whether braking is complete. This dynamic recognition mechanism prevents the child lock from being accidentally unlocked before the vehicle has come to a complete stop, preventing safety hazards caused by misoperation.

[0012] Furthermore, a model is established based on the passenger's physiological and behavioral data to determine whether the passenger is a high-risk group, which includes children and emotionally agitated people; the following steps are included: establishing a model through data fusion of pressure detection, facial image detection, heart rate feature detection, language detection and alcohol detection; detecting whether the pressure is of adult weight, if so, determining the passenger to be an emotionally agitated person; if not, determining the passenger to be a child.

[0013] The technical effect achieved by adopting this technical solution is: when the passenger is judged to be an adult but not a high-risk group, the system may not activate the child lock; if it is identified as a child or an emotionally agitated person, it will be automatically activated, realizing a differentiated control strategy based on the passenger status, enhancing the intelligence and flexibility of the system.

[0014] Furthermore, child determination includes the following steps: judging whether it is necessary to open the vehicle child lock through facial image detection and heart rate feature detection; if so, locking the rear vehicle child lock; if not, the vehicle child lock remains unlocked.

[0015] The technical effects achieved after adopting this technical solution are as follows: facial image detection can determine the passenger's age range, facial features and other information based on the face recognition algorithm, and preliminarily identify whether it is a child; heart rate feature detection assists in judgment from the perspective of physiological indicators; the dual recognition mechanism effectively avoids misjudgment problems caused by lighting, occlusion or incorrect seating, thereby improving system stability.

[0016] Furthermore, the determination of emotionally agitated persons includes the following steps: through facial image detection and calling the hospital's networked data information to determine whether the passenger has a history of mental illness; if so, the child locks in the rear seat of the vehicle are locked; if not, a determination is made as to whether the person is an alcoholic.

[0017] The technical effects achieved after adopting this technical solution are as follows: Facial image detection can analyze the passenger's facial expressions, micro-expression changes, eye tracking and other characteristics to identify whether there are abnormal emotional states such as anxiety, anger, and excitement; calling networked hospital data information (such as electronic health records) can assist in determining whether the passenger has a history of mental illness, such as depression, bipolar disorder, schizophrenia, etc.; the dual judgment mechanism improves the scientificity and accuracy of recognition, and avoids misjudging people as high-risk groups due to temporary emotional fluctuations.

[0018] Furthermore, the determination of alcoholics includes the following steps: determining whether the alcohol concentration in the passenger's exhaled gas exceeds a threshold through alcohol testing; if so, locking the child locks on the rear seat of the vehicle; if not, determining whether the person has a dangerous tendency.

[0019] The technical effects achieved after adopting this technical solution are as follows: the alcohol detection equipment can monitor the alcohol concentration in the exhaled breath of rear passengers in real time, ensuring a quick and accurate judgment of whether the passengers are in a state of drunkenness; setting a reasonable alcohol concentration threshold can effectively distinguish between normal drinking and alcoholic behavior, avoiding misjudgment due to light drinking, and improving the reliability of the system; the automated detection process does not require human intervention, enhancing the practicality and convenience of the system.

[0020] Furthermore, the determination of dangerous persons includes the following steps: judging whether the passenger has any dangerous behavior through language information detection and facial image detection; if so, locking the rear child locks of the vehicle; if not, keeping the vehicle child locks unlocked.

[0021] The technical effects achieved after adopting this technical solution are: collecting passenger voices through microphones, and combining them with intelligent voice analysis algorithms to identify their intonation, speaking speed, volume and other characteristics, and judging whether there is high-risk language such as anger, excitement, provocation, and insults; using in-car cameras to capture passengers' facial expressions, eye direction, micro-expression changes and head movements, and identifying whether there are emotions such as anger, anxiety, tension, and aggressive intentions; multi-dimensional data fusion judgment effectively avoids misjudgment caused by a single recognition method and improves recognition accuracy.

[0022] In order to solve the above technical problems, the present invention provides a vehicle child lock intelligent control device, including the vehicle child lock intelligent control method provided by any of the above technical solutions, the vehicle child lock intelligent control device includes: a multi-source data acquisition module and a central processing unit module; wherein the multi-source data acquisition module includes a pressure sensor, a camera, a heart rate detector, a microphone and an alcohol detector, which are used to obtain passenger physiological and behavioral data; the central processing module includes: a data fusion unit, a child lock control unit and an emergency response unit, the data fusion unit is connected to the multi-source data acquisition module, runs a passenger type judgment model, fuses weight, image, heart rate, voice and alcohol data, and outputs high-risk population identification results; the child lock control unit generates a vehicle child lock start and stop command based on the high-risk population identification results; the emergency response unit monitors the airbag triggering status and vehicle speed in real time, and determines whether the emergency braking is completed through the controller local area network bus.

[0023] The technical effect achieved by adopting this solution: By integrating a multi-source data acquisition module with a central processing unit, a highly intelligent and automated in-vehicle safety protection system has been constructed. This device can acquire real-time physiological and behavioral data from passengers and, based on fused data analysis, determine whether they are high-risk groups (such as children, emotionally agitated individuals, alcoholics, or individuals with dangerous tendencies), thereby dynamically controlling the engagement and disengagement of the child lock. Furthermore, in the event of emergency braking or a collision, the system can quickly respond and disengage the child lock in a timely manner, ensuring the safe evacuation of passengers.

[0024] In summary, the various technical solutions described above in this application can have one or more of the following advantages or beneficial effects: i) By acquiring physiological and behavioral data of passengers through multi-source sensors and performing fusion analysis, it is possible to accurately identify the presence of children or other high-risk groups (such as emotionally agitated individuals, alcoholics, or individuals with dangerous tendencies) in the vehicle, thereby effectively preventing safety accidents caused by improper door operation. ii) The system can automatically activate the child lock when a high-risk group is detected and promptly release the child lock after emergency braking is completed, ensuring that passengers can evacuate quickly in emergencies, avoiding delays in escape due to locking, and improving overall driving safety and emergency response capabilities. iii) Traditional child locks rely on manual user operation and are easily forgotten. The present invention, through intelligent identification and control, can automatically activate and deactivate the child lock without user intervention, fundamentally resolving safety hazards caused by human negligence. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 This is a general flow chart of a vehicle child lock intelligent control method according to an embodiment of the present invention; Figure 2 Part of the process of the vehicle child lock intelligent control method in the embodiment of the present invention Figure 1 ; Figure 3 Part of the process of the vehicle child lock intelligent control method in the embodiment of the present invention Figure 2 ; Figure 4 Part of the process of the vehicle child lock intelligent control method in the embodiment of the present invention Figure 3 ; Figure 5 Schematic diagram of the overall structure of the vehicle child lock intelligent control device in an embodiment of the present invention. DETAILED DESCRIPTION

[0026] The purpose of the present invention is to provide a vehicle child lock intelligent control method and device, which is used to realize the accurate identification and classification management of passengers in the vehicle through the collaborative work of multiple sensors, improve the accuracy and reliability of the system judgment, and automatically enable the child lock during normal driving to prevent misoperation; in emergency situations, such as after a collision, the system can quickly release the child lock to ensure that passengers can evacuate in time and ensure life safety.

[0027] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, specific embodiments of the present invention are described in detail below with reference to the accompanying drawings.

[0028] Figure 2 Detection flow chart after the vehicle child lock is locked; Figure 3 The vehicle's child lock is unlocked, and the pressure sensor detects that the weight is not that of an adult; Figure 4 The vehicle's child lock is unlocked, and the pressure sensor detects adult weight.

[0029] See also Figure 1 The present invention provides a vehicle child lock intelligent control method, comprising the following steps: S1: Collect passenger physiological and behavioral data through vehicle sensors; S2: Check whether the vehicle's child lock is in the locked state; S3: If yes, obtain the airbag triggering status and determine whether the vehicle is in emergency braking; S4: If emergency braking is in progress, obtain the current vehicle speed and detect whether the emergency braking is complete. If it is detected that the emergency braking is complete, the child lock of the vehicle is automatically unlocked; S5: If not, a model is established based on the passenger’s physiological and behavioral data to determine whether the passenger is a high-risk group; S6: If a high-risk group is detected in the vehicle, the vehicle child lock will be automatically activated.

[0030] Specifically, the vehicle child lock intelligent control method is implemented through the following steps: recording the initial driving speed, collecting physiological and behavioral data of rear-seat passengers through multiple vehicle sensors, and then checking whether the vehicle's rear-seat child locks are locked. If so, airbag information is obtained to determine whether the vehicle has engaged emergency braking. If not, a model is built based on the collected data to determine whether the passenger is a high-risk person. When determining whether the vehicle has engaged emergency braking, the current driving speed is obtained and compared with the initial driving speed to determine whether emergency braking has been completed. If a high-risk person is detected in the rear seat of the vehicle, the child lock is automatically engaged.

[0031] See also Figure 1 and Figure 5 S1: Collecting passenger physiological and behavioral data through vehicle sensors, including pressure detection, facial image detection, heart rate feature detection, language information detection and alcohol detection; including the following steps: pressure detection obtains passenger weight information through a pressure sensor; facial image inspection is collected through an in-vehicle camera, and the passenger identity is determined based on face recognition technology; heart rate feature detection is obtained through a heart rate detector to obtain the passenger's heart rate; language information detection is collected through a microphone, and combined with an intelligent voice processor to analyze the passenger's emotional state; alcohol detection is carried out through an alcohol detector to detect whether the alcohol concentration value of the rear passenger's exhaled gas reaches a preset concentration threshold.

[0032] Specifically, pressure detection involves a pressure sensor installed beneath the vehicle seat to obtain passenger weight information. The pressure sensor monitors seat pressure changes in real time and transmits the collected pressure data to a data fusion unit within the central processing module. This unit then determines whether the passenger is a child or adult based on a preset adult weight threshold.

[0033] Facial image detection involves in-vehicle cameras mounted on the roof or seatbacks to capture passenger faces. These cameras capture rear-seat passengers' faces in real time. These images are then transmitted to a data fusion unit within the central processing module. This unit uses a facial recognition algorithm to analyze facial features and identify the passenger. Combined with data from connected hospitals, this data can further determine whether the passenger has a history of mental illness or other potential risk factors.

[0034] Heart rate signature detection involves a heart rate detector integrated into the seat or seatbelt to capture the passenger's heart rate data. The heart rate detector monitors the passenger's heart rate fluctuations in real time. This data is then transmitted to a data fusion unit within the central processing module. Based on the heart rate signature, the data fusion unit determines whether the passenger is a child or someone experiencing emotional distress.

[0035] The speech information detection system includes microphones installed in the vehicle to collect passenger voice information. The microphones collect real-time voice signals from rear passengers. The voice data is transmitted to the data fusion unit in the central processing module. The data fusion unit, combined with an intelligent speech processor, analyzes the passenger's tone, speaking speed, volume, and other characteristics to determine their emotional state. Using recording equipment and an intelligent speech dialogue processing analyzer, it further determines whether the passenger has any dangerous behavior.

[0036] Alcohol testing involves installing a breathalyzer in the rear passenger compartment of the vehicle to measure the breath alcohol concentration of passengers. The breathalyzer monitors the breath alcohol concentration of rear passengers in real time. The breathalyzer transmits this data to a data fusion unit within the central processing module. This unit then determines whether the passenger is intoxicated based on a preset alcohol concentration threshold.

[0037] See also Figure 2 S3: Obtaining the airbag triggering status and determining whether the vehicle is in emergency braking, including the following steps: obtaining the current vehicle speed, obtaining information on whether the airbag is deployed through the vehicle electronic sensor, and determining whether the vehicle is in emergency braking.

[0038] Specifically, the current vehicle speed is obtained, the current triggering status of the airbag is monitored, and it is determined whether the vehicle has an emergency braking accident; if so, it is determined whether the emergency braking has been completed; if not, the vehicle child lock remains on.

[0039] See also Figure 2 S4: obtaining the current vehicle speed and detecting whether the vehicle emergency braking is completed, including the following steps: obtaining the current vehicle speed again and detecting whether the vehicle emergency braking is completed; if the vehicle emergency braking is completed, automatically releasing the vehicle child lock; if the vehicle emergency braking is not completed, keeping the vehicle child lock locked.

[0040] Specifically, the vehicle's emergency braking is completed by comparing the speeds of the front and rear vehicles; if the vehicle's emergency braking is completed, the vehicle's child lock is automatically closed; if the vehicle's emergency braking is not completed, the vehicle's child lock remains locked.

[0041] See also Figure 3 and Figure 4 , a model is established through the passenger's physiological and behavioral data to determine whether the passenger is a high-risk group, which includes children and emotionally agitated people; the following steps are included: establishing a model through the data fusion of pressure detection, facial image detection, heart rate feature detection, language detection and alcohol detection; detecting whether the pressure is of adult weight, if so, determining the passenger to be an emotionally agitated person; if not, determining the passenger to be a child.

[0042] Specifically, it detects whether the rear passengers are high-risk groups, and uses pressure sensors to measure whether their weight is that of an adult, and temporarily divides them into children and emotionally agitated people.

[0043] See also Figure 3 The child determination includes the following steps: judging whether the vehicle child lock needs to be opened through facial image detection and heart rate feature detection; if so, the vehicle rear child lock is locked; if not, the vehicle child lock remains unlocked.

[0044] Specifically, by combining facial image detection and heart rate feature detection, accurate identification of children can be achieved to determine whether the vehicle's child lock needs to be opened; if so, the vehicle's child lock is locked to protect the child's safety; if not, the vehicle's child lock remains unlocked, which may indicate that the passenger is underweight.

[0045] See also Figure 4 The determination of emotionally agitated persons includes the following steps: through facial image detection and calling the hospital's network data information to determine whether the passenger has a history of mental illness; if so, the child locks in the rear seat of the vehicle are locked; if not, the person is determined to be drunk.

[0046] Specifically, emotionally agitated persons are detected through facial image detection, and the hospital's network data is used to determine whether the passenger has a history of mental illness; if so, the vehicle's child locks are locked to protect the safety of passengers and the front driver; if not, the next step is to determine whether the person is drunk.

[0047] See also Figure 4 The determination of drunken persons includes the following steps: through alcohol testing, it is determined whether the alcohol concentration of the passenger's exhaled gas exceeds the threshold; if so, the child locks in the rear seat of the vehicle are locked; if not, a determination is made on dangerous persons.

[0048] Specifically, alcohol testing is used to determine whether the alcohol concentration in the passenger's exhaled gas exceeds the set threshold; if so, the child locks in the rear seat of the vehicle are locked to protect the front driver and prevent drunk people in the back seat from interfering with the front driver's driving; if not, a determination is made on whether the person has a dangerous tendency.

[0049] See also Figure 4 The determination of dangerous persons includes the following steps: judging whether the passenger has dangerous actions through language information detection and facial image detection; if so, locking the rear child lock of the vehicle; if not, keeping the vehicle child lock unlocked.

[0050] Specifically, through language information detection and facial image detection, a comprehensive analysis is conducted to determine whether the passenger has dangerous actions and intentions to harm; if so, the vehicle's child lock is locked to protect the safety of the front driver; if not, the vehicle's child lock remains unlocked, and it is determined that the rear passengers are not a high-risk group.

[0051] See also Figure 5The present invention provides a vehicle child lock intelligent control device, including the vehicle child lock intelligent control method provided by any of the above technical solutions, the vehicle child lock intelligent control device includes: a multi-source data acquisition module and a central processing unit module; wherein the multi-source data acquisition module includes a pressure sensor, a camera, a heart rate detector, a microphone and an alcohol detector, which is used to obtain passenger physiological and behavioral data; the central processing module includes: a data fusion unit, a child lock control unit and an emergency response unit, the data fusion unit is connected to the multi-source data acquisition module, runs a passenger type judgment model, fuses weight, image, heart rate, voice and alcohol data, and outputs a high-risk group identification result; the child lock control unit generates a vehicle child lock start and stop instruction based on the high-risk group identification result; the emergency response unit monitors the airbag triggering status and vehicle speed in real time, and determines whether the emergency braking is completed through the controller local area network bus.

[0052] Specifically, the vehicle child lock intelligent control device also includes an execution module and a communication module; wherein the execution module includes: a child lock mechanism and an audible and visual alarm, the child lock mechanism receives instructions from the child lock control unit and executes the door locking or unlocking state; the audible and visual alarm responds to the emergency response unit and triggers an unlocking reminder when emergency braking 2 is completed.

[0053] The communication module includes: a controller area network bus adapter and a signal communication unit. The controller area network bus adapter is connected to the vehicle airbag system and the speed sensor system to obtain airbag status and vehicle speed data in real time; the signal communication unit is connected to the medical database to verify the passenger's mental illness history.

[0054] Further, the working process of the vehicle child lock intelligent control device is as follows: Data collection stage: Multi-source sensors collect information such as passenger weight, facial images, heart rate, voice, and alcohol concentration.

[0055] Data analysis phase: The data fusion unit will perform fusion modeling on the collected data, run the recognition algorithm, and output the result of whether the passenger is a high-risk group.

[0056] Control decision stage: The child lock control unit decides whether to enable the vehicle child lock based on the recognition results; the emergency response unit monitors the vehicle status and determines whether a collision or emergency braking occurs.

[0057] Execution and feedback stage: The execution module executes the opening and closing actions of the vehicle's child lock; the sound and light alarm issues a prompt when necessary; and the communication module exchanges data with the vehicle system and other platforms.

[0058] Although the present invention is disclosed as above, the present invention is not limited thereto. Any person skilled in the art can make various changes and modifications without departing from the spirit and scope of the present invention. Therefore, the scope of protection of the present invention should be based on the scope defined by the claims.

Claims

1. A vehicle child lock intelligent control method, characterized in that: The following steps are involved: Collect passenger physiological and behavioral data through vehicle sensors; Check whether the vehicle's child lock is in locked state; If so, obtain the airbag triggering status and determine whether the vehicle is in emergency braking; if emergency braking is in progress, obtain the current vehicle speed and detect whether the vehicle's emergency braking is complete. If it is detected that it is complete, the vehicle's child lock will be automatically unlocked; If not, a model is established based on the passenger's physiological and behavioral data to determine whether the passenger is a high-risk group; if a high-risk group is detected in the vehicle, the vehicle child lock is automatically activated.

2. The vehicle child lock intelligent control method according to claim 1, characterized in that: Collecting passenger physiological and behavioral data through vehicle sensors, including stress detection, facial image detection, heart rate feature detection, language information detection, and alcohol detection; The following steps are involved: The pressure detection obtains passenger weight information through a pressure sensor; The facial image inspection is collected by the in-car camera and the passenger's identity is determined based on face recognition technology; The heart rate characteristic detection is obtained by a heart rate detector to obtain the passenger's heart rate; The language information detection is collected through a microphone and combined with an intelligent voice processor to analyze the passenger's emotional state; The alcohol detection is performed by an alcohol detector to detect whether the alcohol concentration value of the rear passenger's exhaled gas reaches a preset concentration threshold.

3. The vehicle child lock intelligent control method according to claim 1, characterized in that: Obtaining the airbag triggering status and determining whether the vehicle is undergoing emergency braking includes the following steps: Get the current vehicle speed, obtain information about whether the airbag is deployed through the vehicle's electronic sensors, and determine whether the vehicle is in emergency braking.

4. The vehicle child lock intelligent control method according to claim 3, characterized in that: Obtaining the current vehicle speed and detecting whether the vehicle's emergency braking is complete includes the following steps: Get the current vehicle speed again and detect whether the vehicle emergency braking is completed; If the vehicle emergency braking is completed, the vehicle child lock is automatically released; if the vehicle emergency braking is not completed, the vehicle child lock is kept locked.

5. The vehicle child lock intelligent control method according to claim 2, characterized in that: Establishing a model based on the passenger's physiological and behavioral data to determine whether the passenger is a high-risk group, including children and emotionally agitated people; The following steps are involved: Establishing a model through data fusion of the pressure detection, the facial image detection, the heart rate feature detection, the language detection, and the alcohol detection; The pressure is detected to determine whether the weight is that of an adult. If so, the person is determined to be an emotionally agitated person; if not, the person is determined to be a child.

6. The vehicle child lock intelligent control method according to claim 5, characterized in that: The child determination comprises the following steps: Determining whether it is necessary to unlock the vehicle child lock through the facial image detection and the heart rate feature detection; If so, the vehicle child lock at the rear of the vehicle is locked; if not, the vehicle child lock remains unlocked.

7. The vehicle child lock intelligent control method according to claim 5, characterized in that: The determination of emotionally agitated persons includes the following steps: By detecting the facial image and calling the hospital network data information, it is determined whether the passenger has a history of mental illness; If so, the child locks in the rear seat of the vehicle are locked; if not, a determination is made as to whether the person is drunk.

8. The vehicle child lock intelligent control method according to claim 7, characterized in that: The determination of alcoholics includes the following steps: Determining whether the alcohol concentration in the passenger's breath exceeds a threshold through the alcohol test; If so, the child locks in the rear seat of the vehicle are locked; if not, a determination is made on the person with dangerous tendencies.

9. The vehicle child lock intelligent control method according to claim 8, characterized in that: The determination of dangerous personnel includes the following steps: Determining whether the passenger has engaged in dangerous behavior through the language information detection and the facial image detection; If so, the vehicle child lock at the rear of the vehicle is locked; if not, the vehicle child lock remains unlocked.

10. A vehicle child lock intelligent control device, characterized in that: The vehicle child lock intelligent control method according to any one of claims 1 to 9, and the vehicle child lock intelligent control device include: A multi-source data acquisition module, including a pressure sensor, a camera, a heart rate detector, a microphone, and an alcohol detector, for acquiring the physiological and behavioral data of the passenger; Central processing module, including: A data fusion unit, which is connected to the multi-source data acquisition module, runs a passenger type judgment model, integrates weight, image, heart rate, voice and alcohol data, and outputs high-risk group identification results; A child lock control unit, which generates a vehicle child lock start / stop instruction based on a high-risk group identification result; The emergency response unit monitors the airbag triggering status and vehicle speed in real time and determines whether the emergency braking is completed through the controller area network bus.

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