An intelligent vehicle window safety control system and method based on vital sign monitoring

Abstract

This invention discloses an intelligent vehicle window safety control system and method based on vital sign monitoring, relating to the field of automotive safety technology. The system includes a vehicle lock detection module, a vital sign determination module, a window control module, and a multi-level safety response control module. The vehicle lock detection module detects whether the vehicle is locked. The vital sign determination module uses non-contact multi-source sensors to determine the presence of vital signs inside the vehicle when it is locked. The window control module controls the blackening function of the electrochromic window glass based on the vital sign determination result. The multi-level safety response control module executes a progressive safety response strategy from basic to advanced when vital signs are detected. This invention aims to achieve real-time and accurate monitoring of vital signs inside the vehicle, dynamic window control, and multi-level risk intervention, thereby improving vehicle safety and reliability.

Description

Technical Field

[0001] This invention relates to the field of automotive safety technology, and in particular to an intelligent window safety control system and method based on vital sign monitoring. Background Technology

[0002] With the increasing popularity of cars, vehicles have become an indispensable tool for daily travel, but the safety hazards and property security issues caused by the enclosed environment of the car are becoming increasingly prominent.

[0003] Existing vehicle safety systems largely rely on door lock status detection or user-controlled operation, lacking the ability to detect vital signs inside the vehicle in real time. This makes it difficult to proactively identify and respond to dangers when no one intervenes, increasing the risk of accidents caused by environmental deterioration when children or pets are left inside. Traditional car windows require manual control for light blocking and protection. When the vehicle is parked for extended periods, the system cannot dynamically adjust its state based on the presence of vital signs inside. If windows are open, the risk of theft may increase; if they are closed, the interior environment may deteriorate due to high temperatures, threatening the safety of any unattended individuals. Furthermore, existing emergency response mechanisms often employ a single alarm model, lacking a tiered, progressive response strategy. This makes it difficult to implement differentiated measures such as ventilation, cooling, and distress calls based on different levels of danger, resulting in low emergency response efficiency. Summary of the Invention

[0004] To address the shortcomings of existing vehicle safety systems, such as insufficient vital sign monitoring capabilities, low adaptability of window status adjustment to actual scenarios, and inefficient and singular emergency response mechanisms, this invention proposes an intelligent window safety control system and method based on vital sign monitoring. The aim is to achieve real-time and accurate monitoring of vital signs inside the vehicle, dynamic control of windows, and multi-level risk intervention through non-contact multi-source sensor fusion and hierarchical response mechanisms, thereby improving vehicle safety and reliability.

[0005] The present invention achieves the above objectives through the following technical solutions:

[0006] A smart vehicle window safety control system based on vital sign monitoring, the system comprising:

[0007] The vehicle lock detection module is used to detect whether the vehicle is in a locked state;

[0008] The vital signs determination module is used to determine whether there are vital signs inside the vehicle when the vehicle is locked, using non-contact multi-source sensors; the non-contact multi-source sensors include millimeter-wave radar, infrared focal plane array detector and carbon dioxide sensor.

[0009] The window control module is used to control the blackening function of the electrochromic window glass based on the results of vital sign determination.

[0010] The multi-level safety response control module is used to execute a progressive safety response strategy from basic to advanced when vital signs are detected.

[0011] As a preferred embodiment of the present invention, the vital signs determination module includes:

[0012] The data acquisition module is used to acquire respiratory rate, body temperature gradient distribution, and carbon dioxide concentration change rate inside the vehicle through non-contact multi-source sensors;

[0013] The confidence calculation module is used to calculate the confidence of respiratory rate, body temperature gradient distribution and carbon dioxide concentration change rate based on the signal quality and environmental interference parameters of the non-contact multi-source sensor, respectively. The signal quality and environmental interference parameters include millimeter-wave radar signal-to-noise ratio, motion artifact index, infrared temperature gradient stability and carbon dioxide airflow disturbance index.

[0014] The decision value generation module is used to dynamically adjust the weights of each confidence level through Kalman filtering, and generate a decision value for determining the existence of vital signs after weighted fusion of the confidence levels.

[0015] The status judgment module is used to compare the decision value with the preset decision threshold; if the decision value is equal to or higher than the preset decision threshold, it is determined that there are vital signs; if the decision value is lower than the preset decision threshold, it is determined that there are no vital signs.

[0016] As a preferred embodiment of the present invention, the window control module includes:

[0017] The status monitoring module is used to monitor the current blackening state of the electrochromic window glass;

[0018] The blackening control module is used to activate the multi-level blackening function of the electrochromic window glass if the electrochromic window glass is not in a blackened state when the duration of continuous determination of no vital signs reaches a first preset time; if the electrochromic window glass is already in a blackened state, it maintains the current blackened state; when vital signs are determined, if the electrochromic window glass is in a blackened state, the blackening function is immediately deactivated, the electrochromic window glass is restored to a transparent state, and the multi-level safety response control module is triggered.

[0019] As a preferred embodiment of the present invention, the multi-level blackening function of activating the electrochromic window glass includes:

[0020] Acquire external environmental parameters, including light intensity, UV index, and temperature;

[0021] Input the external environmental parameters into the preset blackening level decision model and output a target blackening level; the target blackening level corresponds to a target light transmittance of the electrochromic window glass;

[0022] Based on the target blackening level, a corresponding voltage control signal is generated to control the light transmittance of the electrochromic window glass to gradually change from the current value to the target light transmittance; and the actual response time of this blackening operation is obtained. If the actual response time exceeds the preset target response time, the voltage compensation mechanism is activated.

[0023] As a preferred embodiment of the present invention, the voltage compensation mechanism includes:

[0024] Collect the current driving voltage value of the electrochromic window glass;

[0025] Calculate the difference between the actual response time and the preset target response time. and the temperature difference between the current interior temperature and the preset standard temperature. ;

[0026] Based on the difference in response time Temperature difference inside the vehicle and the historical cumulative number of times electrochromic window glass has been used. Calculate the voltage compensation value for electrochromic car window glass. ;

[0027] Based on voltage compensation value A voltage compensation command is generated, and a voltage compensation value is applied through the drive circuit of the electrochromic window glass. ;

[0028] After applying the compensation voltage, the actual response time of the electrochromic window glass is re-monitored. If the actual response time still exceeds the preset target response time, the compensation process is iteratively executed until the actual response time reaches the target or the maximum number of iterations is reached.

[0029] As a preferred embodiment of the present invention, the voltage compensation value The calculation steps include:

[0030] Based on the temperature difference inside the car and the historical cumulative number of times electrochromic window glass has been used. Calculate the comprehensive compensation coefficient The calculation formula is:

[0031] ;

[0032] According to the comprehensive compensation coefficient and response time difference Calculate the voltage compensation value The calculation formula is:

[0033] ;

[0034] In the formula, The basic compensation coefficient; This is the temperature decay factor; It is the aging degradation factor for electrochromic car window glass.

[0035] As a preferred embodiment of the present invention, the progressive security response strategy includes:

[0036] The initial response strategy is to activate the micro-airflow circulation system if the duration of vital signs is determined to reach the second preset duration.

[0037] The intermediate response strategy is to activate the whole vehicle ventilation system and activate the audible and visual alarm device if it is determined that the duration of the presence of vital signs reaches the third preset duration or the temperature inside the vehicle exceeds the first preset temperature threshold.

[0038] Advanced response strategy: If the duration of vital signs is determined to be the fourth preset duration, or the interior temperature exceeds the second preset temperature threshold, the stepper motor of the sunroof emergency device will be driven to open the sunroof at a preset speed, and an alarm message will be sent to the preset emergency contact.

[0039] Among them, the second preset duration < the third preset duration < the fourth preset duration; the first preset temperature threshold < the second preset temperature threshold.

[0040] As a preferred embodiment of the present invention, the system further includes:

[0041] The ventilation module is used to maintain the air exchange rate inside the vehicle at a level not lower than a preset air exchange threshold when the electrochromic window glass is in a blackened state.

[0042] The battery management module is used to optimize power distribution to prioritize the operation of this system module when the vehicle is powered off.

[0043] As a preferred embodiment of the present invention, the system allows authorized users to remotely view in-vehicle environmental data in real time via a mobile terminal and remotely control the blackening function of the electrochromic window glass.

[0044] A control method for an intelligent vehicle window safety control system based on vital sign monitoring, the method comprising:

[0045] Check if the vehicle is locked;

[0046] When the vehicle is locked, respiratory rate, body temperature gradient distribution and carbon dioxide concentration change rate are collected by millimeter-wave radar, infrared focal plane array detector and carbon dioxide sensor.

[0047] The confidence levels of respiratory rate, body temperature gradient distribution, and carbon dioxide concentration change rate are calculated based on signal quality and environmental interference parameters, and then fused using Kalman filtering to generate decision values.

[0048] Compare the decision value with the preset decision threshold; if the decision value is higher than the preset decision threshold, it is determined that there are vital signs; if the decision value is lower than the preset decision threshold, it is determined that there are no vital signs.

[0049] When the duration of continuous detection of no vital signs reaches the first preset duration, if the electrochromic window glass is not detected to be in a blackened state, the multi-level blackening function of the electrochromic window glass is activated; if the electrochromic window glass is already in a blackened state, the current blackened state is maintained.

[0050] When vital signs are detected, if the electrochromic window glass is in a blacked-out state, the blacking-out function will be immediately deactivated, restoring the electrochromic window glass to a transparent state, and a progressive safety response strategy will be implemented based on the duration of the vital signs.

[0051] The beneficial effects of this invention are as follows: By using non-contact multi-source sensors and a confidence fusion algorithm, the system can accurately and reliably determine the vital signs inside the vehicle, effectively improving the accuracy of vital sign recognition. Based on the vital sign determination results, the system can adaptively adjust the blackening function of the electrochromic window glass: when there are no vital signs, the multi-level blackening function of the electrochromic window glass is automatically activated to enhance privacy and anti-theft protection; when there are vital signs, the window transparency is immediately restored to prevent the deterioration of the in-vehicle environment. During the activation of the blackening function, the system uses a voltage compensation mechanism to dynamically calculate the voltage compensation value by combining response time difference, temperature difference, and historical working count, ensuring that the blackening response speed meets expectations and effectively enhancing the system's adaptability and robustness. Simultaneously, the system adopts a multi-level progressive safety response mechanism, automatically triggering different levels of response measures based on the duration of danger and environmental parameters, achieving a progressive response from early warning to proactive intervention, minimizing risk while improving emergency response efficiency. Furthermore, users can remotely monitor and control the in-vehicle status in real time, flexibly meeting personalized and emergency response needs. The system also integrates ventilation and battery management modules to ensure continuous air circulation inside the vehicle and continuous system operation, further enhancing the overall vehicle safety and reliability. Attached Figure Description

[0052] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort. Wherein:

[0053] Figure 1 This is a schematic diagram of the modular structure of an intelligent vehicle window safety control system based on vital sign monitoring proposed in this invention;

[0054] Figure 2 This is a flowchart of an intelligent vehicle window safety control method based on vital sign monitoring proposed in this invention. Detailed Implementation

[0055] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. All other embodiments obtained by those skilled in the art based on the described embodiments of the present invention are within the scope of protection of the present invention.

[0056] Existing vehicle safety systems generally lack the ability to detect vital signs inside the vehicle in real time, making it difficult to identify potential dangers in a timely manner. This can easily lead to safety accidents due to environmental deterioration, endangering any remaining life. Traditional window controls rely on manual operation, which cannot dynamically adjust based on vital signs to balance theft prevention and safety, nor can it effectively prevent the deterioration of the in-vehicle environment. Furthermore, existing emergency response mechanisms are simplistic and lack tiered processing capabilities, resulting in low emergency response efficiency. To address these issues, this invention proposes an intelligent window safety control system and method based on vital sign monitoring. This system uses non-contact multi-source sensors to collect real-time data on respiratory rate, body temperature gradient distribution, and carbon dioxide concentration change rate inside the vehicle, and employs a fusion algorithm for comprehensive analysis to improve the accuracy of vital sign assessment. Based on the vital sign assessment results and the vehicle's locking status, the system dynamically controls the blackening function of the electrochromic window glass, ensuring vehicle privacy and security when no vital signs are present, and preventing the deterioration of the in-vehicle environment when vital signs are present. Simultaneously, the system employs a tiered response mechanism, automatically triggering corresponding measures based on the duration of the danger and environmental parameters, achieving a progressive safety process from early warning to proactive intervention. Users can also remotely monitor and control the window status in real time to meet personalized operation needs. The system also integrates ventilation and battery management modules to ensure continuous ventilation and stable system operation, further improving the safety and reliability of the entire vehicle.

[0057] like Figure 1 As shown, this is an embodiment of the present invention, which provides an intelligent vehicle window safety control system based on vital sign monitoring. The system includes a vehicle lock detection module, a vital sign determination module, a window control module, and a multi-level safety response control module.

[0058] The vehicle lock detection module is used to detect whether the vehicle is in a locked state;

[0059] In some embodiments, vehicle lockout detection can be achieved in the following ways:

[0060] The vehicle's CAN bus acquires door lock status information in real time.

[0061] Alternatively, directly collect signals from the door lock sensor;

[0062] Alternatively, it can communicate with the remote key receiver, analyze the confirmation signal sent by the key after the user locks the door, and perform dual verification in conjunction with the door status sensor.

[0063] The system will only activate the vital signs assessment module and subsequent window control and safety response procedures when the vehicle is locked, thereby avoiding accidental system triggering while the vehicle is in motion or while the user is still operating the system next to the vehicle, ensuring that the conditions for function activation are reasonable and reliable.

[0064] The vital signs determination module is used to determine whether there are vital signs inside the vehicle when the vehicle is locked, using non-contact multi-source sensors; the non-contact multi-source sensors include millimeter-wave radar, infrared focal plane array detector and carbon dioxide sensor.

[0065] The vital signs assessment module includes a data acquisition module, a confidence calculation module, a decision value generation module, and a status assessment module.

[0066] The data acquisition module is used to acquire respiratory rate, body temperature gradient distribution, and carbon dioxide concentration change rate inside the vehicle through non-contact multi-source sensors;

[0067] In some embodiments, a 60GHz to 64GHz millimeter-wave radar is used to acquire raw I / Q signals in the passenger compartment in real time and extract respiratory rate. The millimeter-wave radar can be installed in the center of the passenger compartment ceiling or on the seat back, with the beam direction directly facing the passenger's chest area, a beamwidth exceeding 60 degrees, a detection distance of 0.2 meters to 3 meters, and a sampling rate exceeding 20Hz. This ensures coverage of all passengers and accurately detects subtle changes in chest cavity movement during human respiration, thereby obtaining respiratory rate.

[0068] The specific steps for extracting respiratory rate are as follows:

[0069] The raw I / Q signal is phase demodulated and bandpass filtered to generate the basic respiratory signal. ;

[0070] High-pass filtering is performed on the original I / Q signal to extract high-frequency components. and The high-pass filter cutoff frequency is greater than 5Hz;

[0071] Construct motion artifact envelope and generate motion artifact signal The calculation formula is:

[0072] ;

[0073] Motion artifacts are subtracted from the baseline respiratory signal to generate the purified respiratory signal. The calculation formula is:

[0074] ;

[0075] Among them, the proportionality coefficient ;

[0076] For purified respiratory signals Fourier transform or peak detection is performed to extract the respiratory rate. The normal range for respiratory rate is 0.2Hz to 0.4Hz.

[0077] Uncooled infrared focal plane array detectors are used to acquire body temperature gradient distribution data. The detectors are installed at the top front or rear of the carriage, covering the entire passenger area from above. The resolution exceeds 160x120 pixels, the thermal sensitivity is less than 50mK, the frame rate exceeds 5Hz, and the temperature measurement range is 20℃~50℃.

[0078] Data processing steps:

[0079] The system receives each frame of thermal image output from an uncooled infrared focal plane array detector and performs bad pixel correction, non-uniformity correction, and passenger region segmentation on each frame. The passenger region segmentation employs an adaptive threshold segmentation method to initially distinguish human bodies from the background. Combining background subtraction algorithms and passenger occupancy sensor feedback, the system accurately extracts the body region for each passenger and outputs a segmented independent thermal image. On each segmented individual passenger thermal image, the average temperature, highest temperature point, lowest temperature point, and their coordinates are calculated. Furthermore, the Sobel operator is applied to the passenger region thermal image to calculate the temperature gradient at each pixel.

[0080] For example: calculating the temperature gradient in the horizontal direction. and the temperature gradient in the vertical direction and temperature gradient magnitude The calculation formula is:

[0081] ;

[0082] in, For temperature exist Rate of change in direction (horizontal direction); For temperature exist Rate of change in direction (vertical direction).

[0083] A miniature carbon dioxide sensor is used to monitor and acquire the rate of change of carbon dioxide concentration in the enclosed interior area of ​​a vehicle. The miniature carbon dioxide sensor can be installed in the center of the ceiling or near the air conditioning return vent, with a measurement range of 0ppm to 5000ppm, an accuracy of ±(50ppm + 3% of the reading), a response time of less than 60 seconds, and a sampling frequency of more than 1Hz.

[0084] The system receives the real-time concentration value sequence C(t) output from a miniature carbon dioxide sensor, removes short-time noise through filtering, and performs numerical differentiation on the filtered concentration time series C(t). The calculation formula is as follows: ,in, This represents the time interval between adjacent sampling points.

[0085] By using non-contact multi-source sensors to collect real-time data on respiratory rate, body temperature gradient distribution, and carbon dioxide concentration change rate inside the vehicle, and combining this with confidence calculation and weighted fusion algorithms, it is possible to accurately determine whether there are vital signs inside the vehicle, thereby improving the accuracy of vital sign assessment.

[0086] The confidence calculation module is used to calculate the confidence levels of respiratory rate, body temperature gradient distribution, and carbon dioxide concentration change rate based on the signal quality and environmental interference parameters of non-contact multi-source sensors; the signal quality and environmental interference parameters include the millimeter-wave radar signal-to-noise ratio. Motion artifact index Infrared temperature gradient stability Carbon dioxide airflow disturbance index Among them, the signal-to-noise ratio of millimeter-wave radar Motion artifact index reflects signal sharpness Quantifying the interference of vehicle body vibration on breathing detection, and infrared temperature gradient stability. Assess the degree of temperature distribution fluctuation and the carbon dioxide airflow disturbance index. Characterize the effect of vehicle ventilation on concentration measurement.

[0087] The specific steps for calculating the confidence level are as follows:

[0088] Based on millimeter-wave radar signal-to-noise ratio and motion artifact index Calculate the confidence level of respiratory rate. The calculation formula is:

[0089] ;

[0090] In the formula, the motion artifact index is... Calculated using the time-domain variance of radar echoes; For millimeter-wave radar signal-to-noise ratio coefficient; Motion artifact index coefficient;

[0091] Based on infrared temperature gradient stability and compensation for temperature difference between inside and outside the carriage Calculate the confidence level of the body temperature gradient distribution. The calculation formula is:

[0092] ;

[0093] In the formula, For infrared temperature gradient stability coefficient; For temperature difference compensation between inside and outside the carriage coefficient;

[0094] Based on carbon dioxide airflow disturbance index Calculate the confidence level of the rate of change in carbon dioxide concentration. The calculation formula is:

[0095]

[0096] In the formula, the carbon dioxide airflow disturbance index It is calculated by the ratio of the variance to the mean of the carbon dioxide sensor readings; Carbon dioxide airflow disturbance index coefficient;

[0097] in, , .

[0098] For three key vital sign parameters—respiratory rate, body temperature gradient distribution, and rate of change in carbon dioxide concentration—the reliability and credibility of the results extracted from sensor data were independently assessed, and the assessment was quantified into confidence values ​​or levels. This step is a crucial foundation for accurately determining the vital sign status subsequently.

[0099] The decision value generation module is used to dynamically adjust the weights of each confidence level through Kalman filtering, and generate a decision value for determining the existence of vital signs after weighted fusion of the confidence levels.

[0100] Assuming that initially, the respiratory rate weighting Body temperature gradient distribution weights and weighting of carbon dioxide concentration change rate These are set values. Using a Kalman filter algorithm, these weights are continuously adjusted based on newly acquired data and the state estimate from the previous moment. For example, at a certain moment, based on the activity status of people in the carriage and sensor feedback, the weight of respiratory rate might be increased while the weight of carbon dioxide concentration change rate might be decreased. Subsequently, by weighted fusion of confidence levels, a decision value regarding the presence of vital signs is generated. The calculation formula is:

[0101]

[0102] The status judgment module is used to compare the decision value with the preset decision threshold; if the decision value is equal to or higher than the preset decision threshold, it is determined that there are vital signs; if the decision value is lower than the preset decision threshold, it is determined that there are no vital signs.

[0103] By using non-contact multi-source sensors to collect real-time data on respiratory rate, body temperature gradient distribution, and carbon dioxide concentration change rate inside the vehicle, and combining this with confidence calculation and weighted fusion algorithms, it is possible to accurately determine whether there are vital signs inside the vehicle, thereby improving the accuracy of vital sign assessment.

[0104] The window control module is used to control the blackening function of the electrochromic window glass based on the results of vital sign determination.

[0105] This module dynamically controls the blacking function of the car windows based on whether there are vital signs inside the vehicle, in order to achieve the dual goals of safety protection and life protection.

[0106] The window control module includes a status monitoring module and a blackening control module.

[0107] The status monitoring module is used to monitor the current blackening state of the electrochromic window glass;

[0108] This module feeds back the status information of the vehicle window glass to the blackening control module in real time, providing a basis for control decisions.

[0109] The blackening control module is used to activate the multi-level blackening function of the electrochromic window glass if the electrochromic window glass is not in a blackened state when the duration of continuous determination of no vital signs reaches a first preset time; if the electrochromic window glass is already in a blackened state, it maintains the current blackened state; when vital signs are determined, if the electrochromic window glass is in a blackened state, the blackening function is immediately deactivated, the electrochromic window glass is restored to a transparent state, and the multi-level safety response control module is triggered.

[0110] In some embodiments, the first preset duration refers to the waiting time required for the system to automatically black out after continuously determining "no vital signs". This duration is set to avoid false triggering caused by people briefly passing by outside the vehicle, thereby balancing system response speed and anti-interference capability. A typical value for the first preset duration is 5 minutes.

[0111] Through the above mechanism, the system automatically activates blackout mode to enhance privacy and anti-theft protection when there are no vital signs, and quickly restores transparency when there are vital signs to prevent the deterioration of the in-vehicle environment.

[0112] Activating the multi-level blackening function of electrochromic window glass includes:

[0113] Acquire external environmental parameters, including light intensity, UV index, and temperature;

[0114] Input the external environmental parameters into the preset blackening level decision model and output a target blackening level; the target blackening level corresponds to a target light transmittance of the electrochromic window glass;

[0115] Based on the target blackening level, a corresponding voltage control signal is generated to control the light transmittance of the electrochromic window glass to gradually change from the current value to the target light transmittance; and the actual response time of this blackening operation is obtained. If the actual response time exceeds the preset target response time, the voltage compensation mechanism is activated.

[0116] In some embodiments, the preset blackening level decision model can be a trained lightweight regression or classification model, such as a decision tree or a small neural network. This model takes light intensity, UV index, and temperature as input features and directly outputs a target blackening level. The data used for model training originates from optimal transmittance values ​​calibrated by experts based on factors such as human comfort and privacy protection requirements under different combinations of environmental parameters. The training objective is to minimize the error between the model's predicted transmittance and the expert-calibrated value.

[0117] The voltage compensation mechanism is used to compensate for the increase in response time caused by factors such as changes in ambient temperature and aging of electrochromic materials, ensuring that the actual response time of the blackening operation always meets expectations.

[0118] Voltage compensation mechanisms include:

[0119] Collect the current driving voltage value of the electrochromic window glass;

[0120] Calculate the difference between the actual response time and the preset target response time. and the temperature difference between the current interior temperature and the preset standard temperature. ;

[0121] Based on the difference in response time Temperature difference inside the vehicle and the historical cumulative number of times electrochromic window glass has been used. Calculate the voltage compensation value for electrochromic car window glass. The specific calculation steps are as follows:

[0122] Based on the temperature difference inside the car and the historical cumulative number of times electrochromic window glass has been used. Calculate the comprehensive compensation coefficient The calculation formula is:

[0123] ;

[0124] According to the comprehensive compensation coefficient and response time difference Calculate the voltage compensation value The calculation formula is:

[0125] ;

[0126] In the formula, The basic compensation coefficient; This is the temperature decay factor; It is the aging degradation factor for electrochromic car window glass.

[0127] Based on voltage compensation value A voltage compensation command is generated, and a voltage compensation value is applied through the drive circuit of the electrochromic window glass. ;

[0128] After applying the compensation voltage, the actual response time of the electrochromic window glass is re-monitored. If the actual response time still exceeds the preset target response time, the compensation process is iteratively executed until the actual response time reaches the target or the maximum number of iterations is reached.

[0129] Furthermore, the preset target response time refers to the theoretical time taken for transmittance to change from its maximum to its minimum under standard conditions. This value is provided by the glass supplier or determined experimentally, and a recommended reference value is 30 seconds at 25°C. The preset standard temperature is typically room temperature (25°C). Basic compensation coefficient. Temperature decay factor Aging degradation factor The coefficient factors were all obtained through aging experiments and parameter calibration. For example, numerous experiments were conducted at different temperatures and with varying numbers of uses, recording changes in response time. The specific values ​​of these factors were ultimately determined through data fitting and pre-installed in the system firmware. The historical cumulative number of operations of the electrochromic glass is also recorded. The records are accumulated by a non-volatile memory in the system.

[0130] After generating the compensation command, a new driving voltage is applied to the electrochromic window glass through the driving circuit, which is the current driving voltage value of the electrochromic window glass that has been collected. Subsequently, the system re-monitors the actual response time. If it still does not meet the standard, the above calculation and compensation process is repeated until the actual response time meets the standard or reaches the maximum number of iterations set by the system, such as 3 times, to prevent infinite loops.

[0131] The window control module not only implements safety strategy control based on vital signs, but also significantly improves the response performance and control accuracy of electrochromic window glass under different environmental conditions through multi-level blackening and adaptive voltage compensation mechanisms, thereby enhancing the overall reliability and robustness of the system.

[0132] The multi-level safety response control module is used to execute a progressive safety response strategy from basic to advanced when vital signs are detected.

[0133] The progressive safety response strategy includes a primary response strategy, an intermediate response strategy, and an advanced response strategy. Each level of the strategy is automatically triggered based on the duration of vital signs and in-vehicle environmental parameters, and the response intensity increases progressively, as detailed below:

[0134] The initial response strategy is to activate the micro-airflow circulation system if the duration of vital signs is determined to reach the second preset duration.

[0135] Furthermore, the second preset duration, as a configurable time parameter, needs to be set in a balance between "avoiding false triggering" and "timely response." If it is set too short, it may cause false activation due to sensor noise or brief interference; conversely, it may delay the best time for rescue. In some embodiments, the second preset duration is set to 3 minutes.

[0136] A micro-airflow circulation system is a low-power intake and exhaust device. Its primary purpose is not rapid cooling or powerful ventilation, but rather to promote the slow exchange of air between the inside and outside of a confined space, thereby increasing oxygen concentration and expelling carbon dioxide. The system operates at low power to avoid startling or injuring potentially trapped individuals.

[0137] The intermediate response strategy is to activate the whole vehicle ventilation system and activate the audible and visual alarm device if it is determined that the duration of the presence of vital signs reaches the third preset duration or the temperature inside the vehicle exceeds the first preset temperature threshold.

[0138] By rapidly replacing the air inside the vehicle with powerful ventilation and sending a clear distress signal to people outside the vehicle through audible and visual alarms, the two-pronged approach maximizes the safety of trapped individuals while creating favorable conditions for rescue operations.

[0139] In some embodiments, when vital signs are detected and the interior temperature exceeds 35°C for 5 minutes, the vehicle ventilation system is automatically activated, and a 2kHz buzzer and a red LED warning light with a wavelength range of 620nm-750nm are activated simultaneously. The buzzer operates on a cycle of 0.5 seconds of sound followed by 0.5 seconds of pause, while the LED warning light emits a red flashing light on and off in a cycle of 1 second of illumination followed by 1 second of extinguishing.

[0140] Advanced response strategy: If the duration of vital signs is determined to be the fourth preset duration, or the interior temperature exceeds the second preset temperature threshold, the stepper motor of the sunroof emergency device will be driven to open the sunroof at a preset speed, and an alarm message will be sent to the preset emergency contact.

[0141] In some embodiments, when vital signs are detected and the temperature inside the vehicle exceeds 50 degrees Celsius for 10 minutes, the stepper motor will run at a speed of 20 revolutions per minute to drive the sunroof emergency device to open automatically and send out alarm information simultaneously.

[0142] Among them, the second preset duration < the third preset duration < the fourth preset duration; the first preset temperature threshold < the second preset temperature threshold.

[0143] Furthermore, by comprehensively judging the two parameters of duration and temperature, the system can accurately identify the escalation of the danger and trigger corresponding response measures.

[0144] The system employs a multi-level progressive safety response mechanism, automatically triggering different levels of response measures based on the duration of the hazard and environmental parameters. This enables a step-by-step response from early warning to proactive intervention, maximizing risk control while improving emergency response efficiency.

[0145] The system also includes a ventilation module and a battery management module, as detailed below:

[0146] The ventilation module is used to maintain the air exchange rate inside the vehicle at a level not lower than a preset air exchange threshold when the electrochromic window glass is in a blackened state.

[0147] In some embodiments, the ventilation module automatically switches its operating mode based on the vital signs assessment results:

[0148] When no vital signs are detected, the system automatically activates the basic ventilation mode:

[0149] The system automatically runs for 5 minutes every 2 hours to maintain an air exchange rate of no less than 15 cubic meters per hour.

[0150] If the temperature inside the vehicle is detected to be higher than 45 degrees Celsius, ventilation will continue until the temperature drops below 40 degrees Celsius, effectively controlling the temperature inside the vehicle.

[0151] When vital signs are detected, the system automatically activates the vehicle's intelligent ventilation system to continuously maintain an air exchange rate of no less than 30 cubic meters per hour, ensuring sufficient oxygen levels inside the vehicle.

[0152] Through the aforementioned differentiated ventilation strategies, this module can not only meet basic ventilation needs, but also intelligently respond to various operating conditions, thereby effectively achieving a balance between energy consumption and safety assurance.

[0153] The battery management module is used to optimize power distribution to prioritize the operation of this system module when the vehicle is powered off.

[0154] The system integrates a battery management module, which prioritizes the continuous and stable operation of all modules of the vital signs safety system while ensuring that the vehicle can start normally. This extends the effective monitoring time of the system in parking scenarios and further improves the safety and reliability of the entire vehicle.

[0155] This module implements its functionality through the following multi-level management strategy:

[0156] First, the system monitors the vehicle's battery's total voltage, remaining charge, and health status in real time. Simultaneously, it continuously collects power consumption data from each submodule within the system to provide a basis for energy consumption scheduling.

[0157] Secondly, the system's operating mode is dynamically adjusted based on monitoring data, including a critical function operation mode and a low-power sleep mode. In critical function operation mode, the system prioritizes the normal operation of key modules such as the vital signs detection module and the window control module. When the system fails to detect vital signs, it automatically switches to low-power sleep mode. In this mode, the sampling frequency of some sensors and the power consumption of unnecessary peripherals are intermittently turned off or reduced to achieve energy savings.

[0158] When the total battery charge is detected to be close to the preset minimum charge protection threshold, the system will prioritize cutting off the power supply to non-essential electrical loads and notify the system to enter a minimum power consumption maintenance state, such as keeping only basic sensors on standby, to strictly ensure the vehicle's ability to restart and the continuous operation of the system's key monitoring functions.

[0159] The system allows authorized users to remotely view in-vehicle environmental data in real time via mobile terminals and remotely control the blackening function of electrochromic window glass.

[0160] In some embodiments, this functionality is implemented in the following ways:

[0161] First, when a user initiates a connection request via their mobile device, the request undergoes security authentication by the cloud server. Once authentication is successful, the system establishes a secure data link with the in-vehicle T-Box.

[0162] Secondly, the vehicle system collects in-vehicle environmental data, such as in-vehicle temperature and vital signs, via the CAN bus, and transmits the encrypted data to the cloud server via the vehicle's wireless communication module. Authorized users' mobile apps retrieve this data from the cloud and display it to the user in real-time through a graphical interface, enabling remote viewing.

[0163] Finally, users can manually issue control commands through the mobile app interface, such as immediately canceling the blackout function of the windows. This command is encrypted in the cloud and sent to the vehicle, received and verified by the vehicle gateway, then forwarded to the window control module to complete the corresponding action, and the execution result is fed back to the user's mobile app.

[0164] In this way, users can monitor the situation inside the vehicle at any time and intervene remotely when necessary, such as in case of an emergency requiring human intervention. This meets users' personalized and emergency response needs and constitutes an important supplement to the system's safety mechanism.

[0165] like Figure 2 As shown, another embodiment of the present invention provides a control method for an intelligent vehicle window safety control system based on vital sign monitoring, the method comprising:

[0166] Check if the vehicle is locked;

[0167] When the vehicle is locked, respiratory rate, body temperature gradient distribution and carbon dioxide concentration change rate are collected by millimeter-wave radar, infrared focal plane array detector and carbon dioxide sensor.

[0168] The confidence levels of respiratory rate, body temperature gradient distribution, and carbon dioxide concentration change rate are calculated based on signal quality and environmental interference parameters, and then fused using Kalman filtering to generate decision values.

[0169] Compare the decision value with the preset decision threshold; if the decision value is higher than the preset decision threshold, it is determined that there are vital signs; if the decision value is lower than the preset decision threshold, it is determined that there are no vital signs.

[0170] When the duration of continuous detection of no vital signs reaches the first preset duration, if the electrochromic window glass is not detected to be in a blackened state, the multi-level blackening function of the electrochromic window glass is activated; if the electrochromic window glass is already in a blackened state, the current blackened state is maintained.

[0171] When vital signs are detected, if the electrochromic window glass is in a blacked-out state, the blacking-out function will be immediately deactivated, restoring the electrochromic window glass to a transparent state, and a progressive safety response strategy will be implemented based on the duration of the vital signs.

[0172] In summary, this invention utilizes non-contact multi-source sensors to collect real-time data on respiratory rate, body temperature gradient distribution, and carbon dioxide concentration change rate within the vehicle. Combined with confidence level calculation and a weighted fusion algorithm, it accurately determines the presence of vital signs within the vehicle, improving the accuracy of vital sign assessment. Based on the vital sign determination results and the vehicle's locking status, the blackening function of the electrochromic window glass is dynamically adjusted: when no vital signs are present, the multi-level blackening function of the window glass is automatically activated to ensure vehicle privacy and safety; when vital signs are present, the window glass quickly returns to transparency to prevent deterioration of the in-vehicle environment. During the activation of the blackening function, the system uses a voltage compensation mechanism to dynamically calculate the voltage compensation value based on response time difference, temperature difference, and historical operating frequency, ensuring that the blackening response speed meets expectations and effectively enhancing the system's adaptability and robustness. Simultaneously, the system employs a multi-level progressive safety response mechanism, automatically triggering different levels of response measures based on the duration of the hazard and environmental parameters, achieving a step-by-step response from early warning to proactive intervention. This maximizes risk control while improving emergency response efficiency. Furthermore, users can remotely monitor and control the vehicle's interior status in real time, flexibly meeting personalized and emergency response needs. The system also integrates ventilation and battery management modules to ensure continuous air circulation and stable system operation, further enhancing overall vehicle safety and reliability.

[0173] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any person skilled in the art can easily conceive of various variations or substitutions within the technical scope disclosed in this application, and these should all be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. An intelligent window safety control system based on vital sign monitoring, characterized in that, include: The vehicle lock detection module is used to detect whether the vehicle is in a locked state; The vital signs determination module is used to determine whether there are vital signs inside the vehicle when the vehicle is locked, using non-contact multi-source sensors; the non-contact multi-source sensors include millimeter-wave radar, infrared focal plane array detector and carbon dioxide sensor. The vital signs determination module includes: The data acquisition module is used to acquire respiratory rate, body temperature gradient distribution, and carbon dioxide concentration change rate inside the vehicle through non-contact multi-source sensors; The confidence calculation module is used to calculate the confidence levels of respiratory rate, body temperature gradient distribution, and carbon dioxide concentration change rate based on the signal quality and environmental interference parameters of the non-contact multi-source sensor, respectively. The signal quality and environmental interference parameters include millimeter-wave radar signal-to-noise ratio, motion artifact index, infrared temperature gradient stability, and carbon dioxide airflow disturbance index. The decision value generation module is used to dynamically adjust the weights of each confidence level through Kalman filtering, and generate a decision value for determining the existence of vital signs after weighted fusion of the confidence levels. The status judgment module is used to compare the decision value with the preset decision threshold; if the decision value is equal to or higher than the preset decision threshold, it is determined that there are vital signs; if the decision value is lower than the preset decision threshold, it is determined that there are no vital signs. The window control module is used to control the blackening function of the electrochromic window glass based on the results of vital sign determination. The window control module includes: The status monitoring module is used to monitor the current blackening state of the electrochromic window glass; The blackening control module is used to activate the multi-level blackening function of the electrochromic window glass if the electrochromic window glass is not in a blackened state when the duration of continuous determination of no vital signs reaches a first preset time; if the electrochromic window glass is already in a blackened state, it will maintain the current blackened state; when vital signs are determined, if the electrochromic window glass is in a blackened state, the blackening function will be immediately deactivated, the electrochromic window glass will be restored to a transparent state, and the multi-level safety response control module will be triggered. The multi-level blackening function of the activated electrochromic window glass includes: Acquire external environmental parameters, including light intensity, UV index, and temperature; Input the external environmental parameters into the preset blackening level decision model and output a target blackening level; the target blackening level corresponds to a target light transmittance of the electrochromic window glass; Based on the target blackening level, a corresponding voltage control signal is generated to control the light transmittance of the electrochromic window glass to gradually change from the current value to the target light transmittance; and the actual response time of this blackening operation is obtained. If the actual response time exceeds the preset target response time, the voltage compensation mechanism is activated. The multi-level safety response control module is used to execute a progressive safety response strategy from basic to advanced when vital signs are detected.

2. The intelligent vehicle window safety control system based on vital sign monitoring according to claim 1, characterized in that, The voltage compensation mechanism includes: Collect the current driving voltage value of the electrochromic window glass; Calculate the difference between the actual response time and the preset target response time. and the temperature difference between the current interior temperature and the preset standard temperature. ; Based on the difference in response time Temperature difference inside the vehicle and the historical cumulative number of times electrochromic window glass has been used. Calculate the voltage compensation value for electrochromic car window glass. ; Based on voltage compensation value A voltage compensation command is generated, and a voltage compensation value is applied through the drive circuit of the electrochromic window glass. ; After applying the compensation voltage, the actual response time of the electrochromic window glass is re-monitored. If the actual response time still exceeds the preset target response time, the compensation process is iteratively executed until the actual response time reaches the target or the maximum number of iterations is reached.

3. The intelligent vehicle window safety control system based on vital sign monitoring according to claim 2, characterized in that, The voltage compensation value The calculation steps include: Based on the temperature difference inside the car and the historical cumulative number of times electrochromic window glass has been used. Calculate the comprehensive compensation coefficient The calculation formula is: ； According to the comprehensive compensation coefficient and response time difference Calculate the voltage compensation value The calculation formula is: ； In the formula, The basic compensation coefficient; This is the temperature decay factor; It is the aging degradation factor for electrochromic car window glass.

4. The intelligent vehicle window safety control system based on vital sign monitoring according to claim 1, characterized in that, The progressive security response strategy includes: The basic response strategy activates the micro-airflow circulation system if the duration of vital signs reaches the second preset duration; the intermediate response strategy activates the whole vehicle ventilation system and activates the audible and visual alarm device if the duration of vital signs reaches the third preset duration or the interior temperature exceeds the first preset temperature threshold; the advanced response strategy activates the sunroof emergency device's stepper motor at a preset speed to open the sunroof and sends an alarm message to the preset emergency contact if the duration of vital signs reaches the fourth preset duration or the interior temperature exceeds the second preset temperature threshold. Among them, the second preset duration < the third preset duration < the fourth preset duration; the first preset temperature threshold < the second preset temperature threshold.

5. The intelligent vehicle window safety control system based on vital sign monitoring according to claim 1, characterized in that, The system also includes: The ventilation module is used to maintain the air exchange rate inside the vehicle at a level not lower than a preset air exchange threshold when the electrochromic window glass is in a blackened state. The battery management module is used to optimize power distribution to prioritize the operation of this system module when the vehicle is powered off.

6. The intelligent vehicle window safety control system based on vital sign monitoring according to claim 1, characterized in that, Authorized users can remotely view in-vehicle environmental data in real time via mobile devices and remotely control the blackening function of electrochromic window glass.

7. A method for intelligent vehicle window safety control based on vital sign monitoring, based on the intelligent vehicle window safety control system based on vital sign monitoring as described in any one of claims 1 to 6, characterized in that, include: Check if the vehicle is locked; When the vehicle is locked, respiratory rate, body temperature gradient distribution and carbon dioxide concentration change rate are collected by millimeter-wave radar, infrared focal plane array detector and carbon dioxide sensor. The confidence levels of respiratory rate, body temperature gradient distribution, and carbon dioxide concentration change rate are calculated based on signal quality and environmental interference parameters, and then fused using Kalman filtering to generate decision values. Compare the decision value with the preset decision threshold; if the decision value is equal to or higher than the preset decision threshold, it is determined that there are vital signs; if the decision value is lower than the preset decision threshold, it is determined that there are no vital signs. When the duration of continuous detection of no vital signs reaches the first preset duration, if the electrochromic window glass is not detected to be in a blackened state, the multi-level blackening function of the electrochromic window glass is activated; if the electrochromic window glass is already in a blackened state, the current blackened state is maintained. When vital signs are detected, if the electrochromic window glass is in a blacked-out state, the blacking-out function will be immediately deactivated, restoring the electrochromic window glass to a transparent state, and a progressive safety response strategy will be implemented based on the duration of the vital signs.

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