A multi-mode control system and method for a vehicle-mounted oxygen generator and the vehicle-mounted oxygen generator

Abstract

The application discloses a kind of vehicle-mounted oxygen generator multi-mode control system, method and vehicle-mounted oxygen generator, belong to vehicle-mounted oxygen technology field, including driver monitoring unit, environment perception unit and embedded processor, driver monitoring unit, environment perception unit are connected with embedded processor, embedded processor is connected with vehicle-mounted oxygen generator, for autonomous control vehicle-mounted oxygen generator complete highland mode, city purification mode, refreshing mode under the oxygen supply work of mode.The application is combined by driver monitoring unit, environment perception unit and embedded processor, driver physiological signal, vehicle operation behavior, environmental parameter and other data are fused, and through the processing and decision of dynamic weight decision model, environment mode decision tree, the adaptive switching of highland mode, city purification mode, emergency refreshing mode is realized;So as to improve the scene adaptability, reduce the false trigger rate;Enhance man-machine interaction effect, facilitate driver intuitive perception oxygen supply effect.

Description

Technical Field

[0001] This invention belongs to the field of vehicle-mounted oxygen generation technology, specifically relating to a multi-mode control system, method, and vehicle-mounted oxygen generation device based on multi-source heterogeneous data fusion for new energy vehicles. Background Technology

[0002] As new energy vehicles become increasingly popular, users' demands for vehicle cabin functionality are rising. In scenarios involving driver fatigue, urban congestion, or high-altitude hypoxia, onboard oxygen supply to the cabin becomes a key requirement for enhancing the user's driving experience. Specifically, for example, when drivers are fatigued, emergency oxygen supply is needed to refresh them; or in urban traffic jams where poor outside air quality makes opening windows unsuitable for ventilation, the oxygen concentration inside the vehicle decreases, necessitating oxygen supply; and when driving in high-altitude areas, the reduced ambient oxygen concentration creates a high demand for cabin oxygen supply, requiring timely replenishment. Therefore, increasing the oxygen supply in the cabin of new energy vehicles can meet users' higher demands for cabin comfort and enhance their driving experience.

[0003] The oxygen supply of existing vehicle-mounted oxygen generators has the following drawbacks:

[0004] (1) The oxygen supply triggering mechanism is singular: it relies solely on air pressure sensor data, and the oxygen supply triggering method is generally manual control; it does not integrate data on the driver's physiological state and dynamic changes in the road environment, and cannot provide oxygen autonomously in situations of driver fatigue in plain areas or when driving in high-altitude areas. Although the existing technology incorporates steering wheel angle data, it does not combine it with the establishment of a quantitative fatigue index model, resulting in a false triggering rate of 32%.

[0005] (2) Lack of environmental perception dimension: Existing technologies do not design collaborative strategies for urban pollution such as PM2.5 concentration and traffic congestion scenarios, and cannot achieve coordinated control of air purification and oxygen production functions.

[0006] (3) Low efficiency of human-computer interaction: Most existing vehicle oxygen generators only display the working status through indicator lights, lacking a visual expression of the trend of oxygen concentration improvement, and the driver cannot intuitively perceive the oxygen supply effect. Summary of the Invention

[0007] This invention addresses the aforementioned problems and overcomes the shortcomings of existing technologies by providing a multi-mode control system, method, and vehicle-mounted oxygen generator; it solves the problems of poor scenario adaptability and lagging human-computer interaction in traditional solutions, and enables precise switching between plateau mode, urban purification mode, and emergency refreshment mode.

[0008] To achieve the above objectives, the present invention adopts the following technical solution.

[0009] The present invention provides a multi-mode control system for an on-board oxygen generator, including a driver monitoring unit, an environmental sensing unit, and an embedded processor. The driver monitoring unit and the environmental sensing unit are both connected to the embedded processor, which is connected to the on-board oxygen generator and is used to autonomously control the on-board oxygen generator to complete the oxygen supply work in plateau mode, urban purification mode, and refreshment mode.

[0010] The driver monitoring unit includes: a steering wheel torque sensor for collecting the driver's steering operation behavior; an infrared camera for collecting the closed-eye frequency based on the EAR eye feature ratio algorithm to achieve eye tracking; and an ECG monitoring seat for collecting HRV heart rate variability through fabric electrodes installed on the seat.

[0011] The environmental perception unit includes: a PM2.5 sensor for detecting PM2.5 concentration outside the cabin under traffic congestion; a three-dimensional barometer for calculating altitude; and a vehicle-to-everything (V2X) module for receiving traffic congestion indices.

[0012] The embedded processor is equipped with a dynamic weighted fatigue index model and an environmental pattern decision tree.

[0013] The dynamic weighted fatigue index model is used to perform weighted fusion of lane departure stability value D, braking response sensitivity R, HRV heart rate variability standard deviation HRV_std, and yawning frequency based on the parameter data collected by the driver monitoring unit, and output a fatigue index F of 0-1.

[0014] The environmental model decision tree is used to make decisions based on the fatigue index F output by the dynamic weighted fatigue index model and the parameter data collected by the environmental sensing unit: when the altitude is ≥3000m, the oxygen supply in the plateau mode is activated; when PM2.5 ≥75μg / m³, the oxygen supply in the plateau mode is activated. 3 When the vehicle speed is less than 30 km / h, the oxygen supply in the city purification mode will be activated; when the fatigue index F is greater than or equal to 0.7 or the vehicle has been driving continuously for more than 4 hours, the oxygen supply in the alertness mode will be activated.

[0015] Furthermore, the environmental pattern decision tree satisfies:

[0016] In high-altitude mode, the oxygen supply flow rate of the vehicle-mounted oxygen generator is calculated according to the formula Q=5×[1+0.03×(H-3000)]L / min, where H is the altitude in meters.

[0017] In the city purification mode, the filtration function of the multi-stage filtration system outside the cabin and the oxygen supply function of the on-board oxygen generator are activated simultaneously. The multi-stage filtration system is used to filter out PM2.5 pollutants and make the air pressure inside the vehicle 5-10 hPa higher than the outside air pressure.

[0018] In the energizing mode, pulse oxygen supply and regular oxygen supply alternate at a cycle of T=120s; under pulse oxygen supply, the oxygen concentration increases from 21% to 28% within 30 seconds.

[0019] Furthermore, in the dynamic weighted fatigue index model:

[0020] The lane departure stability value D is calculated using a 60-second moving average with a weight of 40%.

[0021] The braking response sensitivity R is the reciprocal of the braking response time, with a weight of 25%.

[0022] The HRV heart rate variability standard deviation HRV_std is processed by the transformation function: 1-HRV_std / HRV_max, with a weight of 20%; HRV_max represents the theoretical or measured maximum possible value of the HRV heart rate variability standard deviation HRV_std.

[0023] Yawning frequency weighted at 15%;

[0024] Furthermore, the final fatigue index F is forcibly constrained within the [0,1] interval.

[0025] Furthermore, the multi-mode control system also includes an AR-HUD projection module, which is connected to an embedded processor and is used to project real-time oxygen concentration improvement trends in the cabin and parameter data collected by the driver monitoring unit and the environmental perception unit onto the windshield.

[0026] Furthermore, the steering wheel torque sensor has a sampling rate of 200Hz and a range of 0-10N·m, and the infrared camera has a resolution of 1280×720; the three-dimensional barometer has an altitude calculation error of <0.5%, and the vehicle-to-everything (V2X) module receives the road congestion index 5km ahead.

[0027] This invention provides a multi-mode control method for an on-board oxygen generator, implemented using a multi-mode control system for an on-board oxygen generator, comprising the following steps:

[0028] a) The driver's steering behavior, eye-closing frequency, and HRV heart rate variability data are collected through a steering wheel torque sensor, infrared camera, and ECG monitoring seat. The dynamic weighted fatigue index F∈[0,1] is calculated by an embedded processor.

[0029] b) Integrate data from a 3D barometer, PM2.5 sensor, and V2X module to generate an environmental quality index E∈{plateau, city, conventional};

[0030] c) When the fatigue index F≥0.7 and the environmental quality index E≠high altitude, activate the refreshment mode: alternate between pulse oxygen supply and regular oxygen supply in 120s cycles;

[0031] d) When the environmental quality index E = plateau, adjust the oxygen supply of the vehicle oxygen generator according to the formula Q = 5 × [1 + 0.03 × (H - 3000)] L / min, where H is the altitude in meters;

[0032] e) When the environmental quality index E = city, the filtration function of the multi-stage filtration system outside the cabin and the oxygen supply function of the on-board oxygen generator are activated simultaneously. The multi-stage filtration system is used to filter out PM2.5 pollutants and make the air pressure inside the vehicle 5-10 hPa higher than the outside air pressure.

[0033] Furthermore, in step d), the plateau mode includes: calculating the pre-start time T_pre = (3000 - H_now) / dH / dt - 300s based on the historical 10-minute altitude change rate dH / dt, where H_now is the vehicle's current real-time altitude in meters; when the pre-start time T_pre < 600 seconds, the on-board oxygen generator is preheated to 50% power.

[0034] Furthermore, in the refreshment mode: when the fatigue index F is >0.8 for 3 consecutive minutes, a three-level linkage is activated: high-frequency vibration of the seat, direct blowing of cold air onto the face, and a sudden increase in oxygen concentration to 30%.

[0035] This invention provides a vehicle-mounted oxygen generator, used in conjunction with a multi-mode control system for vehicle-mounted oxygen generators. It includes a dual-tower molecular sieve oxygen generator unit, a high-pressure oxygen storage tank, a multi-channel solenoid valve, an ultrasonic nebulizer, and a multi-stage filtration system outside the cabin. The outlet of the dual-tower molecular sieve oxygen generator unit is connected to the inlet of the high-pressure oxygen storage tank via the multi-channel solenoid valve. The ultrasonic nebulizer works in conjunction with the dual-tower molecular sieve oxygen generator unit and is connected to an embedded processor. The ultrasonic nebulizer is integrated into the seat headrest and, in energizing mode, is controlled by the embedded processor to release nano-sized water-oxygen mixed particles containing menthol. The inlet of the dual-tower molecular sieve oxygen generator unit is connected to the outlet of the multi-stage filtration system outside the cabin.

[0036] Furthermore, the high-pressure oxygen storage tank has a working pressure of 4MPa and a capacity of 15L. The multi-channel solenoid valve controls the oxygen flow rate with an accuracy of ±0.1L / min. The dual-tower molecular sieve oxygen generator unit switches to a dual-tower alternating working mode in high-altitude mode. The multi-stage filtration system includes a coarse filter, an activated carbon filter layer, and a HEPA filter arranged in sequence.

[0037] Beneficial effects of this invention:

[0038] Compared with existing technologies, the present invention provides a multi-mode control system, method, and vehicle oxygen generator for vehicle-mounted oxygen generation devices. By combining a driver monitoring unit, an environmental perception unit, and an embedded processor, it integrates multi-source heterogeneous data such as driver physiological signals, vehicle operation behavior, and environmental parameters. Through dynamic weighted decision-making models and environmental mode decision trees, it achieves adaptive switching between plateau mode, urban purification mode, and emergency alertness mode, thereby improving scene adaptability and reducing false triggering rate.

[0039] In addition, the present invention uses the AR-HUD projection module to project real-time oxygen concentration improvement trends in the cabin, as well as data such as driver physiological signals, vehicle operation behavior, and environmental parameters onto the windshield, thereby enhancing the human-computer interaction effect and making it easier for the driver to intuitively perceive the oxygen supply effect. Attached Figure Description

[0040] Figure 1 This is a schematic block diagram of the structure of a multi-mode control system for an on-board oxygen generator according to the present invention.

[0041] Figure 2 This is a schematic block diagram of the structure of a vehicle-mounted oxygen generator according to the present invention.

[0042] The diagram is labeled as follows: 1 is the driver monitoring unit, 2 is the environmental perception unit, 3 is the embedded processor, 4 is the vehicle oxygen generator, 5 is the multi-stage filtration system, 6 is the dual-tower molecular sieve oxygen generator, 7 is the ultrasonic nebulizer, 8 is the multi-channel solenoid valve, and 9 is the high-pressure oxygen storage tank; 101 is the steering wheel torque sensor, 102 is the infrared camera, and 103 is the ECG monitoring seat; 201 is the PM2.5 sensor, 202 is the three-dimensional barometer, and 203 is the vehicle-to-everything (V2X) module; 301 is the dynamic weighted fatigue index model, and 302 is the environmental pattern decision tree. Detailed Implementation

[0043] To make the technical problems solved, the technical solutions, and the beneficial effects of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

[0044] Combination Figure 1As shown in the figure, the multi-mode control system for an in-vehicle oxygen generator provided in this embodiment of the invention includes a driver monitoring unit 1, an environmental sensing unit 2, and an embedded processor 3. The driver monitoring unit 1 and the environmental sensing unit 2 are both connected to the embedded processor 3, which is connected to the in-vehicle oxygen generator 4. The embedded processor 3 is used to autonomously control the in-vehicle oxygen generator 4 to complete oxygen supply in plateau mode, urban purification mode, and energizing mode. The driver monitoring unit 1 includes: a steering wheel torque sensor 101 for collecting the driver's steering operation behavior; an infrared camera 102 for collecting eye-closing frequency data based on the EAR eye feature ratio algorithm to achieve eye-tracking; and an ECG monitoring seat 103 for collecting HRV heart rate variability through fabric electrodes installed on the seat. The environmental sensing unit 2 includes: a PM2.5 sensor 201 for detecting road conditions. The system blocks PM2.5 concentration outside the cabin; a three-dimensional barometer 202 is used to calculate altitude; a vehicle-to-everything (V2X) module 203 is used to receive traffic congestion indices; the embedded processor 3 is equipped with a dynamic weighted fatigue index model 301 and an environmental mode decision tree 302; the dynamic weighted fatigue index model 301 is used to perform weighted fusion of lane departure stability value D, braking response sensitivity R, HRV heart rate variability standard deviation HRV_std, and yawn frequency based on parameter data collected by the driver monitoring unit, and outputs a fatigue index F of 0-1; the environmental mode decision tree 302 is used to make decisions based on the fatigue index F output by the dynamic weighted fatigue index model 301 and parameter data collected by the environmental perception unit 2: when the altitude is ≥3000m, oxygen supply in high-altitude mode is activated; when PM2.5 ≥75μg / m³ ... 3 When the vehicle speed is less than 30 km / h, the oxygen supply in the city purification mode is activated; when the fatigue index F is greater than or equal to 0.7 or the continuous driving time is greater than or equal to 4 hours, the oxygen supply in the refreshment mode is activated; the embedded processor 3 of the present invention uses a Kalman filter algorithm to fuse the data collected by the driver monitoring unit 1 and the environmental perception unit 2 to eliminate the interference of measurement noise.

[0045] The environmental model decision tree 302 satisfies:

[0046] In the high-altitude mode, the oxygen supply flow rate of the on-board oxygen generator 4 is calculated according to the formula Q=5×[1+0.03×(H-3000)]L / min, where H is the altitude in meters;

[0047] In the city purification mode, the filtration function of the multi-stage filtration system 5 outside the cabin and the oxygen supply function of the vehicle oxygen generator 4 are activated simultaneously. The multi-stage filtration system 5 is used to filter out PM2.5 pollutants and make the air pressure inside the vehicle 5-10 hPa higher than the outside air pressure.

[0048] In the energizing mode, pulse oxygen supply and regular oxygen supply alternate at a cycle of T=120s; under pulse oxygen supply, the oxygen concentration increases from 21% to 28% within 30 seconds.

[0049] In the dynamic weighted fatigue index model 301:

[0050] The lane departure stability value D is calculated using a 60-second moving average with a weight of 40%.

[0051] The braking response sensitivity R is the reciprocal of the braking response time, with a weight of 25%.

[0052] The HRV heart rate variability standard deviation HRV_std is processed by the transformation function: 1-HRV_std / HRV_max, with a weight of 20%; HRV_max represents the theoretical or measured maximum possible value of the HRV heart rate variability standard deviation HRV_std.

[0053] Yawning frequency weighted at 15%;

[0054] Furthermore, the final fatigue index F is forcibly constrained within the [0,1] interval.

[0055] Specifically, the input parameters of the dynamic weighted fatigue index model 301 are preprocessed as follows:

[0056] Lane Departure Stability Value D: A 60-second moving average of lane departure data to eliminate short-term fluctuations and reflect a sustained deviation trend; the formula for calculating the 60-second moving average of lane departure data is as follows:

[0057]

[0058] Braking response sensitivity R: The reciprocal of the braking response time, calculated using the following formula:

[0059]

[0060] HRV heart rate variability standard deviation HRV_std: Calculates the standard deviation of the most recent 5 minutes of HRV heart rate variability data. The formula is: N represents the number of single HRV heart rate variability data collected within the most recent 5 minutes (i.e., 300 seconds); N is the total amount of data in the denominator of the standard deviation, and 1 needs to be subtracted to meet the unbiased estimation requirement of the sample standard deviation.

[0061] Multi-feature fusion: Calculating the fatigue index F by weight:

[0062] F = 0.4 × (D / D_max) + 0.25 × R + 0.2 × (1 - HRV_std / HRV_max) + 0.15 × (yawning frequency), where D_max represents the maximum permissible threshold for lane departure stability value D;

[0063] The weighted sum is 1 (40% + 25% + 20% + 15%).

[0064] HRV heart rate variability standard deviation is an inverse indicator, converted by (1-HRV_std / HRV_max);

[0065] The output value is forcibly constrained to the interval [0,1].

[0066] Specifically, the multi-mode control system also includes an AR-HUD projection module, which is connected to the embedded processor 3. The AR-HUD projection module is used to project the real-time oxygen concentration improvement trend in the cabin and the parameter data collected by the driver monitoring unit 1 and the environmental perception unit 2 onto the windshield. This enhances the human-machine interaction effect and makes it easier for the driver to intuitively perceive the oxygen supply effect. At the same time, the ECG monitoring seat 103 in the vehicle is also equipped with a PPG sensor, which is a photoplethysmography sensor. The PPG sensor is connected to the embedded processor 3, so that the driver's real-time blood oxygen saturation simulation value can be displayed on the windshield.

[0067] Specifically, the steering wheel torque sensor 101 has a sampling rate of 200Hz and a range of 0-10N·m; the infrared camera 102 has a resolution of 1280×720; the three-dimensional barometer 103 has an altitude calculation error of <0.5%; and the vehicle-to-everything (V2X) module 103 receives the road congestion index 5km ahead.

[0068] In addition, the multi-mode control method for an on-board oxygen generator provided in this embodiment of the invention, implemented using the aforementioned multi-mode control system for an on-board oxygen generator, includes the following steps:

[0069] a) The driver's steering behavior, eye-closing frequency, and HRV heart rate variability data are collected by the steering wheel torque sensor 101, infrared camera 102, and ECG monitoring seat 103. The dynamic weighted fatigue index F∈[0,1] is calculated by the embedded processor 3.

[0070] b) Integrate data from the 3D barometer 202, PM2.5 sensor 201, and V2X module 203 to generate an environmental quality index E∈{plateau, city, normal};

[0071] c) When the fatigue index F≥0.7 and the environmental quality index E≠high altitude, activate the refreshment mode: alternate between pulse oxygen supply and regular oxygen supply in 120s cycles;

[0072] d) When the environmental quality index E = plateau, adjust the oxygen supply of the vehicle oxygen generator 4 according to the formula Q = 5 × [1 + 0.03 × (H - 3000)] L / min, where H is the altitude in meters;

[0073] e) When the environmental quality index E = city, the filtration function of the multi-stage filtration system 5 outside the cabin and the oxygen supply function of the vehicle oxygen generator 4 are activated simultaneously. The multi-stage filtration system 5 is used to filter out PM2.5 pollutants and make the air pressure inside the vehicle 5-10 hPa higher than the outside air pressure.

[0074] Specifically, in step d), the plateau mode includes: calculating the pre-start time T_pre = (3000 - H_now) / dH / dt - 300s based on the historical 10-minute altitude change rate dH / dt, where H_now is the vehicle's current real-time altitude in meters; when the pre-start time T_pre < 600 seconds, the on-board oxygen generator 4 is preheated to 50% power.

[0075] For example: High-altitude oxygen supply mode control process: Preprocessing in the altitude transition zone 2500-3000m: Calibration through fusion of vehicle-mounted GPS elevation data and 3D barometer 202 data: H_true = 0.7 × H_gps + 0.3 × H_baro; If H_true ≥ 2800m and the rate of ascent > 15m / min, start the vehicle-mounted oxygen generator 4 for low-power preheating to 20% power. Where H_gps represents the altitude measured by the vehicle-mounted GPS module, H_baro represents the altitude converted from the 3D barometer 202, and H_true represents the actual altitude after fusion calibration of the vehicle-mounted GPS module and the 3D barometer 202 data.

[0076] If H_true≥3000m lasts for 2 minutes, the high-altitude mode is officially activated: the on-board oxygen generator 4 switches to the dual-tower alternating working mode; the oxygen output flow rate is adjusted according to the formula Q=5×[1+0.03×(H_true-3000)]L / min.

[0077] Specifically, in the refreshment mode: when the fatigue index F is >0.8 for 3 consecutive minutes, a three-level linkage is activated: high-frequency vibration of the seat, direct blowing of cold air onto the face, and a sudden increase in oxygen concentration to 30%.

[0078] For example: when the fatigue index F≥0.7, pulse oxygen supply is activated (concentration rises to 28% within 30 seconds);

[0079] If F continues to rise and remains above 0.8 for 3 consecutive minutes, a three-level linkage is triggered: the seat vibration frequency reaches 20Hz; the air conditioner blows cold air directly onto the driver's face at 5m / s; and the oxygen concentration increases sharply to 30% within 10 seconds.

[0080] Finally, as Figure 2As shown in the figure, an embodiment of the present invention provides a vehicle-mounted oxygen generator, which is used in conjunction with a multi-mode control system for a vehicle-mounted oxygen generator. It includes a dual-tower molecular sieve oxygen generator unit 6, a high-pressure oxygen storage tank 9, a multi-channel solenoid valve 8, an ultrasonic nebulizer 7, and a multi-stage filtration system 5 outside the cabin. The outlet of the dual-tower molecular sieve oxygen generator unit 6 is connected to the inlet of the high-pressure oxygen storage tank 9 via the multi-channel solenoid valve 8. The ultrasonic nebulizer 7 works in conjunction with the dual-tower molecular sieve oxygen generator unit 6 and is connected to an embedded processor 3. The ultrasonic nebulizer 7 is integrated into the seat headrest and is used in an energizing mode, controlled by the embedded processor 3, to release nano-sized water-oxygen mixed particles containing menthol. The inlet of the dual-tower molecular sieve oxygen generator unit 6 is connected to the outlet of the multi-stage filtration system 5 outside the cabin. The high-pressure oxygen storage tank 9 has a working pressure of 4MPa and a capacity of 15L. The multi-channel solenoid valve 8 controls the oxygen flow rate with an accuracy of ±0.1L / min. The dual-tower molecular sieve oxygen generator 6 switches to a dual-tower alternating working mode in high-altitude mode. The multi-stage filtration system 5 includes a coarse filter, an activated carbon filter layer, and a HEPA filter arranged in sequence. The ambient air from outside the vehicle passes through the coarse filter, activated carbon filter layer, and HEPA filter in sequence before being supplied to the dual-tower molecular sieve oxygen generator 6.

[0081] In summary, the vehicle-mounted oxygen generator 4 of the present invention can quickly increase the oxygen partial pressure and prevent the blood oxygen saturation from dropping when operating in high-altitude mode, with a fast response; when operating in urban purification mode, the vehicle-mounted oxygen generator 4 can simultaneously remove PM2.5 pollutants, with pressure isolation; when operating in energizing mode, the vehicle-mounted oxygen generator 4 stimulates the driver's sympathetic nervous system through pulse oxygen supply, resulting in a better sensory stimulation effect.

[0082] It is understood that the above specific description of the present invention is only for illustrating the present invention and is not limited to the technical solutions described in the embodiments of the present invention. Those skilled in the art should understand that modifications or equivalent substitutions can still be made to the present invention to achieve the same technical effect; as long as the use needs are met, they are all within the protection scope of the present invention.

Claims

1. A multi-mode control system for a vehicle-mounted oxygen generator, characterized in that: It includes a driver monitoring unit, an environmental perception unit, and an embedded processor. The driver monitoring unit and the environmental perception unit are both connected to the embedded processor, which is connected to the vehicle oxygen generator to autonomously control the vehicle oxygen generator to complete the oxygen supply work in plateau mode, urban purification mode, and refreshment mode. The driver monitoring unit includes: Steering wheel torque sensor is used to collect the driver's steering operation behavior; An infrared camera is used to collect closed-eye frequency data based on the EAR eye feature ratio algorithm to achieve eye tracking. A cardiac monitoring chair used to collect HRV (heart rate variability) via fabric electrodes placed on the chair. The environmental sensing unit includes: PM2.5 sensor used to detect PM2.5 concentration outside the cabin during traffic congestion; A three-dimensional barometer is used to calculate altitude. The V2X module is used to receive traffic congestion indices. The embedded processor is equipped with a dynamic weighted fatigue index model and an environmental pattern decision tree. The dynamic weighted fatigue index model is used to perform weighted fusion of lane departure stability value D, braking response sensitivity R, HRV heart rate variability standard deviation HRV_std, and yawning frequency based on the parameter data collected by the driver monitoring unit, and output a fatigue index F of 0-1. The environmental mode decision tree is used to make decisions based on the fatigue index F output by the dynamic weighted fatigue index model and the parameter data collected by the environmental perception unit: when the altitude is ≥3000m, the oxygen supply in the plateau mode is activated; when PM2.5 is ≥75μg / m³ and the vehicle speed is <30km / h, the oxygen supply in the urban purification mode is activated; when the fatigue index F is ≥0.7 or continuous driving is ≥4h, the oxygen supply in the alertness mode is activated. In high-altitude mode, the oxygen supply flow rate of the vehicle-mounted oxygen generator is calculated according to the formula Q=5×[1+0.03×(H-3000)]L / min, where H is the altitude in meters. In the city purification mode, the filtration function of the multi-stage filtration system outside the cabin and the oxygen supply function of the on-board oxygen generator are activated simultaneously. The multi-stage filtration system is used to filter out PM2.5 pollutants and make the air pressure inside the vehicle 5-10 hPa higher than the outside air pressure. In the energizing mode, pulse oxygen supply and regular oxygen supply alternate at a cycle of T=120s; under pulse oxygen supply, the oxygen concentration increases from 21% to 28% within 30 seconds; In the dynamic weighted fatigue index model: The lane departure stability value D is calculated using a 60-second moving average with a weight of 40%. Braking response sensitivity R is the reciprocal of braking response time, with a weight of 25%. HRV heart rate variability standard deviation HRV_std is processed by the transformation function: 1-HRV_std / HRV_max, with a weight of 20%; HRV_max represents the theoretical or measured maximum possible value of HRV heart rate variability standard deviation HRV_std; Yawning frequency weighted at 15%; Furthermore, the final fatigue index F is forcibly constrained within the [0,1] interval; The multi-mode control system also includes an AR-HUD projection module, which is connected to an embedded processor and is used to project real-time oxygen concentration improvement trends in the cabin and parameter data collected by the driver monitoring unit and the environmental perception unit onto the windshield.

2. The multi-mode control system for a vehicle-mounted oxygen generator according to claim 1, characterized in that: The steering wheel torque sensor has a sampling rate of 200Hz, the infrared camera has a resolution of 1280×720, the three-dimensional barometer has an altitude calculation error of <0.5%, and the vehicle-to-everything (V2X) module receives the road congestion index 5km ahead.

3. A multi-mode control method for an on-board oxygen generator, characterized in that: The multi-mode control system for an on-board oxygen generator as described in claim 1 is implemented using the following steps: a) The driver's steering behavior, eye-closing frequency, and HRV heart rate variability data are collected by a steering wheel torque sensor, an infrared camera, and an ECG monitoring seat. The dynamic weighted fatigue index F∈[0,1] is calculated by an embedded processor. b) Integrate data from a 3D barometer, PM2.5 sensor, and V2X module to generate an environmental quality index E∈{plateau, city, normal}; c) When the fatigue index F≥0.7 and the environmental quality index E≠high altitude, activate the refreshment mode: alternate between pulse oxygen supply and regular oxygen supply in 120s cycles; d). When the environmental quality index E = plateau, adjust the oxygen supply of the vehicle oxygen generator according to the formula Q = 5 × [1 + 0.03 × (H - 3000)] L / min, where H is the altitude in meters. e). When the environmental quality index E = city, the filtration function of the multi-stage filtration system outside the cabin and the oxygen supply function of the vehicle oxygen generator are activated simultaneously. The multi-stage filtration system is used to filter out PM2.5 pollutants and make the air pressure inside the vehicle 5-10 hPa higher than the outside air pressure.

4. The multi-mode control method for an on-board oxygen generator according to claim 3, characterized in that: Step d) The high-altitude mode includes: calculating the pre-start time T_pre=(3000-H_now) / dH / dt-300s based on the historical 10-minute altitude change rate dH / dt, where H_now is the vehicle's current real-time altitude; when the pre-start time T_pre<600 seconds, the on-board oxygen generator is started in advance to preheat to 50% power.

5. The multi-mode control method for an on-board oxygen generator according to claim 3, characterized in that: In the refreshment mode: when the fatigue index F is greater than 0.8 for 3 consecutive minutes, a three-level linkage is activated: the seat vibrates at high frequency, cold air blows directly on the face, and the oxygen concentration increases sharply to 30%.

6. A vehicle-mounted oxygen generator, characterized in that: This system is used in conjunction with a multi-mode control system for an in-vehicle oxygen generator as described in claim 1 or 2. It includes a dual-tower molecular sieve oxygen generator unit, a high-pressure oxygen storage tank, a multi-channel solenoid valve, an ultrasonic nebulizer, and a multi-stage filtration system outside the cabin. The outlet of the dual-tower molecular sieve oxygen generator unit is connected to the inlet of the high-pressure oxygen storage tank via the multi-channel solenoid valve. The ultrasonic nebulizer works in conjunction with the dual-tower molecular sieve oxygen generator unit and is connected to an embedded processor. The ultrasonic nebulizer is integrated into the seat headrest and, in energizing mode, is controlled by the embedded processor to release nano-sized water-oxygen mixed particles containing menthol. The inlet of the dual-tower molecular sieve oxygen generator unit is connected to the outlet of the multi-stage filtration system outside the cabin.

7. The vehicle-mounted oxygen generator according to claim 6, characterized in that, The high-pressure oxygen storage tank operates at a pressure of 4 MPa, and the multi-channel solenoid valve controls the oxygen flow rate with an accuracy of ±0.1 L / min. The dual-tower molecular sieve oxygen generator switches to a dual-tower alternating operation mode in high-altitude mode. The multi-stage filtration system includes a coarse filter, an activated carbon filter layer, and a HEPA filter arranged sequentially.

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