Brain-computer combined intelligent air supply control system and method for vehicle-mounted air conditioner

Abstract

The invention discloses a brain-computer combined intelligent air supply control system and method for a vehicle-mounted air conditioner. The method comprises the steps that the in-vehicle temperature, the solar radiation temperature and the vehicle state are obtained through an environment sensor, and an air conditioner is automatically adjusted to a preset initial value; a pressure sensor, an electroencephalogram signal acquisition module, an electrocardio sensor and an infrared sensor which are integrated in a seat are used for collecting real-time state information of a passenger, so that the air supply direction, magnitude and mode of an air conditioner are adjusted in a personalized mode; based on the pressure and environment data, determining the air supply cooling capacity and direction, and selecting a proper air supply mode according to the electrocardio and electroencephalogram signals; normal, exciting and drowsiness air supply modes are provided for a driver, so that safety and comfort are enhanced; comfortable air supply modes including carsickness and sleepiness are designed for passengers, and the overall comfort and health level of the passengers are improved; by implementing the method, individual differences can be considered, the physical condition is monitored in real time, and the in-vehicle environment is adjusted according to the physical condition, so that the overall comfort of passengers is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to an air conditioning control system, more particularly to a brain-computer combined intelligent air supply control system and method for vehicle air conditioner. BACKGROUND

[0002] With the progress of social economy and the development of technology, air conditioning technology is widely used in many fields, including vehicle air conditioning systems. The main function of the vehicle air conditioning system is to regulate the temperature inside the vehicle to provide a comfortable environment for passengers. The system usually allows users to manually adjust the air supply temperature, air volume, direction, and the opening and closing state of the air outlet at different positions. In addition, some advanced systems can automatically adjust according to pressure and temperature sensors.

[0003] However, most vehicle air conditioning systems lack intelligent adjustment mechanisms and cannot be individually adjusted according to the individual needs of passengers, ignoring the differences in thermal environment and individual needs in different vehicle seat areas. Secondly, during high-temperature periods such as summer, when passengers first enter the car, the temperature inside the car is much higher than the outside, which can easily cause passengers to feel uncomfortable. Furthermore, even though some air conditioning systems integrate pressure and temperature sensors, they do not take into account the physical activity state of the passengers, nor do they adjust the air supply cooling and heating based on individual physiological parameters, which can cause local overcooling or overheating problems, affecting comfort. In addition, it is worth noting that the driver may be in the same state for a long time, which can cause fatigue or negative emotions, thereby posing a threat to driving safety. At this time, the driver needs to take a short break to recover alertness, but it is often difficult to timely detect changes in their own state. Therefore, predicting changes in the driver's state and timely reminding are of great significance to improve driving safety.

[0004] Studies have also shown that inappropriate indoor temperature can have adverse effects on human health, including but not limited to lower limb soreness, general weakness, and other symptoms. The amount of heat produced by the human body per unit of body weight is relatively constant, and the total amount of heat produced increases with body weight, so heavier people usually need more cooling and less heating. At the same time, with the development of brain-computer interface technology, by monitoring brain waves, heart rate, respiratory rate, and skin conductance, etc., a person's attention and thermal comfort can be objectively evaluated, and more accurate air conditioning control can be achieved.

[0005] Therefore, it is necessary to design a new method to consider individual differences, monitor body conditions in real time, and adjust the indoor environment accordingly to improve the overall comfort and driving safety of passengers. SUMMARY

[0006] The purpose of the present application is to overcome the defects of the prior art and provide a brain-computer combined intelligent air supply control system and method for vehicle air conditioner.

[0007] To achieve the above object, the application adopts the following technical scheme: a vehicle-mounted air conditioner intelligent air supply control method combined with brain and machine, comprising: acquiring environmental data monitored and recorded by an environmental sensor, wherein the environmental data comprises temperature in the vehicle, solar radiation temperature, and vehicle state; automatically adjusting the vehicle-mounted air conditioner to a preset initial value based on the environmental data; acquiring monitoring data collected by a pressure sensor, an electroencephalogram signal acquisition module, an electrocardiogram sensor, and an infrared sensor arranged in a vehicle seat; adjusting air supply direction, air supply cold and heat quantity, and air supply mode of the vehicle-mounted air conditioner based on the monitoring data to realize individualized comfort adjustment; wherein air supply cold and heat quantity, air supply direction, and air supply initial temperature are determined based on the pressure sensor and the environmental data; air supply mode is determined based on the electrocardiogram sensor, electroencephalogram signals collected by the electroencephalogram signal acquisition module, and heart rate; the air supply mode comprises a driver-oriented air conditioner air supply mode and a passenger comfort-oriented air conditioner air supply mode; the driver-oriented air conditioner air supply mode comprises a normal air supply mode, an excitement air supply mode, and a drowsiness air supply mode, which improves safety and comfort of the driver; the passenger comfort-oriented air conditioner air supply mode comprises a normal air supply mode, a car sickness air supply mode, and a drowsiness air supply mode, which improves comfort and health status of the passenger.

[0008] Further technical schemes are as follows: the normal air supply mode of the driver-oriented air conditioner air supply mode provides natural environment simulated wind speed and direction to maintain comfortable driving experience by monitoring vehicle state and driver concentration through sensor technology; the excitement air supply mode comprises automatically and quickly reducing air supply temperature, changing air supply area, avoiding direct blowing to the face or head, temporarily changing air supply speed, and releasing mint smell to help pacify emotions when detecting that the driver is in a negative emotion or a highly excited state; the drowsiness air supply mode dynamically adjusts air supply strategy according to fatigue degree, comprising adopting intermittent air supply, changing air supply area, air supply to the direction of the driver's head, LED light flickering, reducing temperature, and releasing mint smell to improve driver alertness; the car sickness air supply mode adjusts air supply based on dizziness index, adopts slow and stable air supply, that is, low wind speed, air supply temperature lower than body temperature, changes air supply area to air supply to the direction of the passenger's face and head, and increases oxygen content and optional citrus smell to alleviate passenger discomfort; the drowsiness air supply mode judges whether the passenger produces drowsiness by analyzing blink pattern and heart rate variability, judges the passenger's sleep stage according to drowsiness index, and adopts soft air supply strategy to avoid direct blowing to the face to optimize somatosensory comfort. The comfort target-oriented normal air supply mode utilizes infrared equipment, electroencephalogram and heart rate variability to monitor the passenger state, and provides natural environment simulation wind speed and wind direction to ensure overall comfort air supply cold and heat.

[0009] Further technical solutions are as follows: the air supply direction, air supply cold and heat and air supply mode of the vehicle-mounted air conditioner are adjusted based on the monitoring data to realize individualized comfort adjustment, including: Based on the pressure data, the specific area where the personnel are located is determined to determine the air supply direction and target area; The initial temperature of each area is calculated in combination with the environment data; The mode of the vehicle-mounted air conditioner is adjusted according to the initial temperature; The required air conditioner air supply cold and heat is calculated by measuring the pressure of the vehicle seat area to estimate the body weight of the personnel in combination with the mode, so as to obtain the air supply cold and heat; The air supply mode of each area is determined based on the blink frequency, facial expression, electrocardiogram signal and electroencephalogram signal collected by the infrared equipment, electrocardiogram sensor and electroencephalogram signal acquisition module.

[0010] Further technical solutions are as follows: the initial temperature of each area is calculated in combination with the environment data, including: The wall surface temperature and illumination intensity are obtained, and the local equivalent radiation temperature is determined; The initial temperature of each vehicle seat area is set based on the local equivalent radiation temperature and the environment data; The wall surface temperature is measured by a sensor installed at the inner surface of the vehicle shell, and the illumination intensity is obtained by a light sensor arranged above the center console close to the bottom of the front windshield or the side window position.

[0011] Further technical solutions are as follows: the wall surface temperature and illumination intensity are obtained, and the local equivalent radiation temperature is determined, including: The local equivalent radiation temperature is determined, wherein Tw i is the wall surface temperature, E i is the indoor illumination intensity; K1 and K2 are constant coefficients, and Te i is the local equivalent radiation temperature; The initial temperature is calculated through ; wherein K3 is a constant coefficient, and Top is the initial temperature.

[0012] According to the brain-computer combined vehicle-mounted air conditioner intelligent air supply control method of claim 4, the air supply mode of each area is determined based on the blink frequency, facial expression, electrocardiogram signal and electroencephalogram signal collected by the infrared equipment, electrocardiogram sensor and electroencephalogram signal acquisition module, including: The state of the driver and the passenger is analyzed in real time based on the infrared device, the electrocardio sensor, and the blink frequency, the facial expression, the electrocardio signal and the electroencephalogram signal collected by the electroencephalogram signal collection module to determine the air supply mode of each region, wherein the state is determined by the concentration index, the emotion index, the fatigue index, the drowsiness index, the thermal comfort index, the dizziness index, the infrared-monitored blink frequency, the infrared-monitored facial expression and the infrared-monitored driving behavior; The concentration index is calculated by The SMR wave is a sensory motor rhythm, and the frequency range is 12-15 Hz. The frequency range of the theta wave is 4-8 Hz. The emotion index is calculated by The fatigue index P is determined by the frequency of the alpha, beta and theta waves in the electroencephalogram signal. The drowsiness index is calculated by Wherein, Cov is the covariance, is the standard deviation. The thermal comfort index is calculated by Wherein, P(δ) is the power spectral density in the full frequency band; P(α) is the power spectral density in the alpha frequency band; P(β) is the power spectral density in the beta frequency band; and P(γ) is the power spectral density in the gamma frequency band. N represents the total number of R-R intervals, and RRi represents the length of the ith R-R interval. The dizziness index is calculated by Wherein, LF is the low-frequency power corresponding to the mixed activity of the sympathetic nerve and the parasympathetic nerve; and HF is the high-frequency power corresponding to the pure parasympathetic nerve activity.

[0013] The further technical solution is that the personnel body weight is estimated by measuring the pressure of the vehicle seat area, the required air conditioning air supply cold heat is calculated according to the mode and the standard air supply cold heat or the default air supply heat corresponding to the mode, and the air supply cold heat is obtained. The personnel body weight on the vehicle seat is estimated according to the pressure data of each region. The required air conditioning air supply cold heat is calculated according to the body weight and the standard air supply cold heat or the default air supply heat corresponding to the mode, and the air supply cold heat is obtained.

[0014] The further technical solution is that after the air supply direction, the air supply cold heat and the air supply mode of the vehicle air conditioner are adjusted based on the monitoring data, the physiological and environmental data of the driver and the passenger are recorded and analyzed, the state change is learned and predicted, and the air supply mode of the vehicle air conditioning system is automatically adjusted. The physiological and environmental data of the driver and the passenger are recorded and analyzed, the state change is learned and predicted, and the air supply mode of the vehicle air conditioning system is automatically adjusted.

[0015] Further technical solutions are as follows: the physiological and environmental data of the driver and passengers are recorded and analyzed, state changes are learned and predicted, and the air supply mode of the vehicle-mounted air conditioning system is automatically adjusted, including: For the driver's seat, the physiological data and environmental data of the driver at different time periods are recorded, the parameters of pulse-type refrigeration and natural air supply are set based on the breathing cycle and heart rate in the physiological data, the air supply details are adjusted according to the fatigue index of the physiological data, the physiological data and environmental data are analyzed by using an AI algorithm to determine the optimal air supply parameters, and the state of the driver is predicted in real time to make corresponding adjustments; For the passenger seat, the physiological data and environmental data of the passengers in different states are recorded to obtain passenger data; the passenger data is processed by using an AI algorithm, and the air supply mode is automatically adjusted according to the real-time state to improve comfort.

[0016] The application also provides a brain-computer combined vehicle-mounted air conditioning intelligent air supply control system, which comprises: An environmental data acquisition unit is configured to acquire environmental data monitored and recorded by an environmental sensor, wherein the environmental data includes the temperature inside the vehicle, the solar radiation temperature, and the state of the vehicle; A first adjustment unit is configured to automatically adjust the vehicle-mounted air conditioner to a preset initial value based on the environmental data; A monitoring data acquisition unit is configured to acquire monitoring data collected by a pressure sensor, an electroencephalogram acquisition module, an electrocardiogram sensor, and an infrared sensor arranged in the seat of the vehicle; A second adjustment unit is configured to adjust the air supply direction, air supply cold and heat quantity, and air supply mode of the vehicle-mounted air conditioner based on the monitoring data to realize individualized comfort adjustment; wherein the air supply cold and heat quantity, air supply direction, and air supply initial temperature are determined based on the pressure sensor and environmental data; the air supply mode is determined based on the electrocardiogram signal and heart rate collected by the electrocardiogram sensor and the electroencephalogram acquisition module; The air supply mode includes a driver-oriented air conditioning air supply mode and a passenger comfort-oriented air conditioning air supply mode; The driver-oriented air conditioning air supply mode includes a normal air supply mode, an excitement air supply mode, and a drowsiness air supply mode, which improves the safety and comfort of the driver; The passenger comfort-oriented air conditioning air supply mode includes a normal air supply mode, a car sickness air supply mode, and a drowsiness air supply mode, which improves the comfort and health status of the passengers.

[0017] The beneficial effects of the present application compared with the prior art are: the present application realizes comprehensive real-time monitoring of the in-vehicle environment and passenger state by integrating the environmental sensor and the human physiological signal monitoring device. Specifically, the environmental sensor is responsible for collecting data such as in-vehicle temperature and solar radiation temperature, and automatically adjusts the air conditioner to the preset initial value in combination with the vehicle state; at the same time, the pressure sensor, the electroencephalogram signal acquisition module and the electrocardiogram sensor embedded in the seat are respectively used to monitor the position, psychological state and physiological condition of the passenger, so as to accurately adjust the air supply direction, air supply cold and heat and air supply mode of the air conditioner according to individual differences. For the driver, the system provides three air supply modes of normal, excitement and drowsiness to enhance driving safety and comfort; for the passenger, there is a personalized air supply mode to deal with special situations such as car sickness and drowsiness, so as to ensure that every passenger can enjoy the most suitable in-vehicle environment, and thus improve the overall riding experience and health protection. This intelligent adjustment mechanism not only considers the influence of environmental factors, but also pays special attention to the physical reactions of different passengers, and realizes highly personalized comfort adjustment.

[0018] The present application will be further described below in combination with the drawings and specific embodiments. BRIEF DESCRIPTION OF DRAWINGS

[0019] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed in the embodiment description will be briefly introduced below. Obviously, the drawings in the following description are some embodiments of the present application, and other drawings can also be obtained by those skilled in the art without creative labor.

[0020] Figure 1 The flowchart of the brain-machine combined vehicle-mounted air conditioner intelligent air supply control method provided by the embodiment of the present application is shown in the figure. Figure 2 The sub-flowchart of the brain-machine combined vehicle-mounted air conditioner intelligent air supply control method provided by the embodiment of the present application is shown in the figure. Figure 3 The sub-flowchart of the brain-machine combined vehicle-mounted air conditioner intelligent air supply control method provided by the embodiment of the present application is shown in the figure. Figure 4 The sub-flowchart of the brain-machine combined vehicle-mounted air conditioner intelligent air supply control method provided by the embodiment of the present application is shown in the figure. Figure 5 The setting schematic diagram of the pressure sensor and the electroencephalogram signal acquisition module on the seat provided by the embodiment of the present application is shown in the figure. Figure 6 The flowchart of the brain-machine combined vehicle-mounted air conditioner intelligent air supply control method provided by another embodiment of the present application is shown in the figure. Figure 7 The schematic block diagram of the brain-machine combined vehicle-mounted air conditioner intelligent air supply control system provided by the embodiment of the present application is shown in the figure. Figure 8 A schematic block diagram of a brain-computer combined vehicle-mounted air conditioner intelligent air supply control system according to another embodiment of the present application is provided. Figure 9 A schematic block diagram of a computer device according to an embodiment of the present application is provided. DETAILED DESCRIPTION

[0021] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are some of the embodiments of the present application, but not all the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the scope of protection of the present application.

[0022] It should be understood that, when used in the specification and the appended claims, the terms "comprise" and "include" indicate the presence of the described features, integers, steps, operations, elements, and / or components, but do not exclude one or more other features, integers, steps, operations, elements, components, and / or groups thereof.

[0023] It should also be understood that the terms used in the specification of the present application are only for the purpose of describing the specific embodiments and are not intended to limit the present application. As used in the specification and the appended claims of the present application, the singular forms "a", "an" and "the" are intended to include the plural forms, unless the context clearly indicates otherwise.

[0024] It should be further understood that the term "and / or" used in the specification and the appended claims of the present application means any combination of one or more of the associated listed items and all possible combinations, and includes these combinations.

[0025] Please refer to Figure 1 , Figure 1The schematic flow chart of the brain-computer combined vehicle-mounted air conditioner intelligent air supply control method provided by the embodiment of the application. The brain-computer combined vehicle-mounted air conditioner intelligent air supply control method is applied to a server such as a vehicle controller, and through the integration of various monitoring technologies such as environmental sensors, pressure sensors 1, electroencephalogram acquisition modules 2, electrocardiogram sensors, and infrared sensors, the environmental data in the vehicle and the physiological state information of the driver and passengers are obtained in real time, and then the air supply direction, magnitude, and mode of the vehicle-mounted air conditioner are adjusted individually. Specifically, the initial value of the air conditioner is automatically set according to the environmental data, and the output of the air conditioner is precisely adjusted according to parameters such as the stress distribution of the passengers, body weight estimation, brain waves, and heart rate to adapt to the needs of different individuals. The method also specially designs different air supply modes for the driver and passengers, including normal, excitement, drowsiness, car sickness, and lethargy modes, aiming to improve driving safety and riding comfort. In addition, the system can learn and predict the state changes of the passengers, continuously optimize the air supply strategy using AI algorithms, and ensure the best riding experience. This comprehensive solution realizes fine management of the environment in the vehicle and significantly improves the overall comfort and driving safety of the user.

[0026] Based on the current environmental state and human activity monitoring data, the individualized air supply control of different seat areas is realized through the change of the pressure sensor 1 equipped in the vehicle. This method can provide differentiated air supply services according to the needs of each passenger. Specifically, this includes adjusting the air supply temperature, air supply cold and heat, air supply direction, and the on-off state of the air supply port at a specific position, thereby optimizing the thermal environment inside the passenger cabin, saving energy, and improving individual comfort.

[0027] This method is particularly suitable for scenarios where the use of seats by passengers in subway cars, buses, aircraft passenger cabins, and cars changes frequently. By intelligently adjusting the load utilization rate of the air conditioning system, it can ensure that appropriate cold / heat is accurately distributed to passengers who really need it, meeting their individual needs.

[0028] This strategy not only has a solid theoretical foundation, but also has great potential and value in practical applications. It can significantly improve passenger comfort while meeting energy-saving requirements, especially in situations where the occupancy rate fluctuates greatly and the passenger distribution is not fixed. By precisely managing the thermal environment of each seat area, the system helps to create a more comfortable and healthy riding environment, while achieving efficient use of resources. Therefore, for both public transportation tools and private vehicles, adopting a differentiated air supply scheme based on pressure sensor 1 feedback is a key measure to improve user experience and operational efficiency.

[0029] Figure 1 The flowchart of the brain-computer combined vehicle-mounted air conditioner intelligent air supply control method provided by the embodiment of the application. As shown in FIG. 1, the brain-computer combined vehicle-mounted air conditioner intelligent air supply control method provided by the embodiment of the application mainly includes the following steps: Figure 1As shown, the method comprises the following steps S110 to S140.

[0030] S110, acquiring environmental data monitored and recorded by environmental sensors, wherein the environmental data includes in-vehicle temperature, solar radiation temperature, and vehicle status.

[0031] In this embodiment, the environmental data refers to various parameters about the environment inside and outside the vehicle collected by various sensors integrated in the intelligent air supply control system of the vehicle-mounted air conditioner. Specifically, these environmental data mainly include in-vehicle temperature, solar radiation temperature, and vehicle status.

[0032] In-vehicle temperature: This refers to the air temperature in the interior space of the vehicle, which is usually monitored and recorded by air sensors installed inside the vehicle cabin. The in-vehicle temperature is a key factor in adjusting the working mode of the vehicle-mounted air conditioning system, as it directly affects the comfort of the driver and passengers.

[0033] Solar radiation temperature: This parameter reflects the surface temperature of the area of the vehicle directly exposed to the sun, which is monitored by a radiation sensor. It includes the wall surface temperature of the vehicle body and the intensity of sunlight entering the vehicle through the windows. The solar radiation temperature is crucial for determining the local equivalent radiation temperature (Te i ), which takes into account the wall surface temperature (Tw i ) and light intensity (E i ) and is calculated using the formula , where K1 and K2 are constant coefficients.

[0034] Vehicle status: This information is mainly obtained through vehicle positioning sensors such as GPS systems, including but not limited to changes in the vehicle's location, distance moved, and speed. Understanding the vehicle status helps to assess the impact of the external environment on the in-vehicle conditions and optimize the operation strategy of the air conditioning system according to whether the vehicle is in motion or stationary.

[0035] In summary, the S110 step involves collecting the aforementioned data from various environmental sensors, which provides the basis for the intelligent control of the vehicle-mounted air conditioning system in subsequent steps. Based on the collected environmental data, the system can automatically adjust to the preset initial value and further combine monitoring data such as pressure distribution on the seat and human bioelectric signals to achieve precise air supply control for individual differences, thereby improving the overall comfort and driving safety of the people inside the vehicle.

[0036] S120, automatically adjusting the vehicle-mounted air conditioner to a preset initial value based on the environmental data.

[0037] In this embodiment, the vehicle-mounted air conditioning system intelligently adjusts its settings based on collected environmental parameters, including interior temperature, solar radiation temperature, and vehicle status, to achieve a preset initial operating state. This process is achieved through computer operation control system analysis and processing of environmental parameters. Specifically, this includes the following aspects: First, the environmental parameter collection system monitors and records interior air temperature, solar radiation temperature (considering wall temperature and light intensity), and vehicle location changes. These data provide the basis for adjusting the vehicle-mounted air conditioning system.

[0038] Based on the collected environmental data, the computer operation control system will determine the preset initial value of the vehicle-mounted air conditioning system according to certain algorithms or models. This preset initial value is not fixed, but dynamically adjusted according to the current environmental conditions. For example, if the interior temperature is high and there is strong solar radiation, the system may set a lower initial cooling temperature; conversely, if it is cold inside, it may set a higher heating temperature.

[0039] Once the preset initial value is determined, the computer operation control system will issue instructions to the actuator intelligent vehicle-mounted air conditioning system to automatically adjust the air conditioning working mode and parameters such as air supply direction, temperature setting, air speed, etc., to achieve the preset initial value. In addition, users can manually turn off this function on the user-end data storage and display system and select the air conditioning temperature themselves. Even so, the system will continue to record temperature parameters and use these data to continuously learn user preferences to optimize personalized initial temperature settings more accurately in the future.

[0040] After completing the initial setting, the system will continue to monitor changes in environmental parameters and adjust air conditioning settings in real time as needed to ensure that the interior is always at the best comfort level. For example, during driving, as the external environment changes (such as entering a tunnel or shaded area), the system will adjust the air conditioning working mode accordingly.

[0041] In summary, the core of S120 is to use data provided by environmental sensors to automatically adjust the vehicle-mounted air conditioning system to a preset initial working state suitable for the current environmental conditions, thereby improving the comfort experience of drivers and passengers. At the same time, the system also supports user manual intervention and custom settings, further enhancing flexibility and adaptability.

[0042] S130, acquire monitoring data collected by the pressure sensor 1, the electroencephalogram signal acquisition module 2, the electrocardio sensor, and the infrared sensor arranged in the vehicle seat.

[0043] In this embodiment, the monitoring data refers to various physiological and environmental parameters collected by a variety of sensors (including pressure sensor 1, electroencephalogram acquisition module 2, electrocardiogram sensor, and infrared sensor) arranged in the vehicle seat. These monitoring data are mainly used to analyze the state of the driver and passengers, and accordingly dynamically adjust the operating mode and parameters of the vehicle air conditioning system.

[0044] Please refer to Figure 5 The pressure sensor 1 is located under the seat cushion and in the foot area of the person, monitoring the pressure distribution and size of the ground and seat. The monitoring data includes: The pressure value on the seat (Pu): used to estimate the body weight of the person on the seat.

[0045] The pressure value of the foot ground area (Pd): combined with Pu to more accurately estimate the body weight of the person.

[0046] The electroencephalogram acquisition module 2 (EEG) is installed in the seat headrest, close to the user's head. It collects the electroencephalogram signals of the driver and passengers.

[0047] The monitoring data includes: The power spectral density of different frequency bands of EEG signals (such as δ wave, α wave, β wave, γ wave, etc.), used to evaluate the user's concentration, emotional state, thermal comfort, and fatigue level.

[0048] Blink event-related potential (bERP), which detects blink frequency and intensity to determine concentration.

[0049] The electrocardiogram sensor is placed on the chest or hands, etc. It monitors heart rate variability (HRV) and other parameters related to heartbeats.

[0050] The monitoring data includes: R-R interval (time interval between adjacent heartbeats), used to calculate time domain indicators such as RMSSD (reflecting parasympathetic nerve activity).

[0051] Frequency domain indicators such as low / high frequency power ratio (LF / HF), used to evaluate the balance between sympathetic and parasympathetic nerve activity, which helps to identify car sickness or drowsiness state.

[0052] rRR (Pearson correlation coefficient of consecutive R-R intervals) indicator, used to further distinguish the sleep stage of the person.

[0053] The infrared sensor (IR) is placed in front of the seat, such as near the air outlet or behind the front seat backrest. It emits infrared signals and receives reflected signals to monitor eye movement, facial expression, or other skin surface temperature changes.

[0054] The monitoring data includes: Reflectivity difference: The reflectivity of infrared light by the eyes differs between open and closed eye states, which can be used to detect blink frequency and patterns.

[0055] Facial expressions: Facial expressions differ under different emotions, such as furrowed brows, pursed lips, flared nostrils, and wide eyes when angry or anxious; raised corners of the mouth (smiling), relaxed facial muscles when happy or relaxed; drooping eyelids, slow blinking, and glassy eyes when tired or sleepy.

[0056] Surface temperature: Changes in skin surface temperature can be measured to assist in determining comfort or fatigue levels.

[0057] The data collected by the above sensors will be transmitted to the user-side data storage and display system and processed and analyzed by the computer operation control system. Based on these data, the system can real-time understand the physical condition, psychological state, and environmental conditions of the driver and passengers, so as to intelligently adjust the working mode and parameters of the vehicle air conditioner, and provide personalized air supply experience. In addition, the system can continuously learn and optimize its algorithm model based on historical data, improve the prediction accuracy and personalized service level. For example, when detecting signs of fatigue in the driver, the system will automatically switch to the "drowsy air supply mode" and take measures to help the driver stay awake; for passengers who feel unwell, the "car sickness air supply mode" can be enabled to reduce their discomfort.

[0058] S140, adjusting the air supply direction, air supply cold and heat quantity, and air supply mode of the vehicle air conditioner based on the monitoring data to realize personalized comfort adjustment; Among them, based on the pressure sensor 1 and environmental data, the air supply cold and heat quantity, air supply direction, and air supply initial temperature are determined; based on the electrocardiogram sensor and the electroencephalogram signal collected by the electroencephalogram signal acquisition module 2, the air supply mode is determined; The air supply mode includes a driver-oriented air conditioner air supply mode and a passenger comfort-oriented air conditioner air supply mode; The driver-oriented air conditioner air supply mode includes a normal air supply mode, an excited air supply mode, and a drowsy air supply mode, which improves the safety and comfort of the driver; The passenger comfort-oriented air conditioner air supply mode includes a normal air supply mode, a car sickness air supply mode, and a sleepy air supply mode, which improves the comfort and health status of the passengers.

[0059] In this embodiment, the air supply direction refers to intelligently adjusting the direction of the air conditioner outlet according to the position of the passengers in the vehicle and the data of the pressure sensor 1, ensuring that the airflow can effectively cover the areas that need to be cooled or heated. By analyzing the pressure distribution of the seat and foot area, the position of the person is determined, and the air supply port is adjusted accordingly to direct to these areas.

[0060] The air supply cold heat is calculated according to the ambient temperature and the data provided by the pressure sensor 1 to achieve the ideal temperature regulation effect.

[0061] For the refrigeration mode, the air supply cold heat can be calculated according to the total weight Wi on the seat, and the formula is For the heating mode, a different coefficient is used, and the formula is .

[0062] Wherein, W i is the total weight of seat i, Q i is the air supply cold heat of seat i; Q o is the default air supply cold heat; K3, K4, K5 and K6 are constant coefficients.

[0063] This method not only considers the presence or absence of personnel, but also combines their weight and other factors to ensure the rationality and effectiveness of the air supply cold heat.

[0064] The air supply mode includes a driver-oriented air conditioning air supply mode and a passenger comfort-oriented air conditioning air supply mode; The driver-oriented air conditioning air supply mode includes a normal air supply mode, an excitement air supply mode and a drowsiness air supply mode, which improves the safety and comfort of the driver; The passenger comfort-oriented air conditioning air supply mode includes a normal air supply mode, a car sickness air supply mode and a drowsiness air supply mode, which improves the comfort and health of the passengers.

[0065] The normal air supply mode of the driver-oriented air supply mode monitors the vehicle state and the driver's concentration through sensor technology, and provides natural environment simulation wind speed and direction to maintain comfortable driving experience; The excitement air supply mode includes automatically reducing the air supply temperature, changing the air supply area, i.e. avoiding direct blowing to the face or head, temporarily changing the air supply speed (the wind speed is temporarily slightly higher than that in the normal air supply mode, and then gradually returns to the wind speed in the normal air supply mode), and optionally releasing mint smell to help calm the mood when detecting that the driver is in a negative mood or a highly excited state; The drowsiness air supply mode dynamically adjusts the air supply strategy according to the degree of fatigue, including using "intermittent air supply", changing the air supply area, i.e. blowing the air flow to the direction of the driver's head, flashing the LED light, reducing the temperature and releasing the mint smell to improve the driver's alertness; The car sickness air supply mode adjusts the air supply based on the dizziness index, adopts a slow and stable air supply, i.e. low wind speed, air supply temperature lower than body temperature, changes the air supply area, blows the air flow to the direction of the passenger's face and hands, and increases the oxygen content and optionally releases citrus smell to reduce the passenger's discomfort; The drowsiness air supply mode determines whether the occupant is sleepy by analyzing the blink pattern and heart rate variability, and determines the occupant's sleep stage according to the drowsiness index, and adopts a soft air supply strategy to avoid direct blowing to the face to optimize the thermal comfort. The comfort target-oriented normal air supply mode monitors the occupant's state using infrared equipment, electroencephalogram and heart rate variability, and provides natural environment simulation wind speed and direction to ensure overall comfort.

[0066] In this embodiment, the air supply mode is divided into a driver-oriented air conditioning air supply mode and a passenger comfort-oriented air conditioning air supply mode, aiming to meet the needs of different users and improve the overall ride experience.

[0067] Specifically, in the driver-oriented mode, the design of the normal air supply mode pays special attention to the state monitoring and comfort adjustment of the driver.

[0068] Specifically, the air supply port control for the driver's seat needs to combine electroencephalogram (EEG), heart rate variability (HRV), infrared (IR) transceiver and GPS system to determine whether the vehicle is started and the driver's concentration and excitement level for the driving task, and dynamically adjust the air supply mode according to the monitored parameters.

[0069] When evaluating the driver's concentration index, first, the GPS system monitors the movement of the vehicle. If the car travels more than 400 meters in one minute, it can be inferred that the vehicle has started. To further analyze the driver's concentration level, two infrared devices are integrated into the system: one emits infrared light signals to the eyes, and the other measures the reflected light intensity. Due to the presence of the tear film, the reflectivity of the eyes under open and closed eye conditions differs significantly, which makes the blink rate an important parameter for measuring concentration. Generally speaking, a lower blink rate means a higher concentration. However, during vehicle travel, the monitoring effect of the infrared device may be affected due to vibration, weather changes, environmental factors or the driver wearing sunglasses.

[0070] In addition, electroencephalogram (EEG) technology is also applied to monitor the intensity and frequency of blinking behavior. Specifically, it analyzes the blink-related potential (bERP). Using the data collected by the EEG device, the blink rate can be calculated; when the blink rate decreases, it indicates that the driver's concentration has improved.

[0071] Moreover, different frequency bands of brain waves are closely related to concentration. By analyzing specific frequency bands in the EEG signal, the concentration index can be obtained.

[0072] Specifically, the concentration index is calculated as follows: ; wherein SMR waves are sensorimotor rhythms with a frequency range of 12-15 Hz; beta waves have a frequency range of 16-20 Hz; and theta waves have a frequency range of 4-8 Hz. If The higher the value, the higher the driver's concentration. These bands include sensorimotor rhythms (SMR), which have a frequency range of 12-15 Hz; and two other bands, 16-20 Hz and 4-8 Hz (theta waves). The higher the combined value of these bands, the stronger the driver's concentration.

[0073] In summary, by combining GPS system-based vehicle operating state detection, infrared device monitoring of blink frequency, and EEG technology analysis of blink intensity and brain wave activity, we can comprehensively evaluate the driver's concentration and adjust comfort settings such as vehicle-mounted air conditioning accordingly to improve the safety and comfort of the driving experience.

[0074] The emotion index reflects the emotional state of the driver. When the index value is high, it indicates that the driver may be in a positive emotional state such as joy, happiness, etc., which usually means that the driving state is ideal. Specifically, it is calculated by wherein, The higher the value, the higher the driver's concentration. These bands include sensorimotor rhythms (SMR), which have a frequency range of 12-15 Hz; and two other bands, 16-20 Hz and 4-8 Hz (theta waves). The higher the combined value of these bands, the stronger the driver's concentration. Based on this, the calculator operation controller can combine GPS system information to determine whether the vehicle is driving, and use infrared devices or blink event-related potentials (bERP) in electroencephalography (EEG) to evaluate the driver's concentration level. At the same time, if the detected emotion index shows that the driver is in a positive emotional state, or the concentration index shows high concentration, either of these conditions meets the condition, the calculator operation control system will automatically adjust the intelligent vehicle-mounted air conditioning system under the actuator control to the "normal air supply mode".

[0075] In the "normal air supply mode", the air conditioning system simulates a natural environment, adjusts the wind speed and direction, and provides a feeling close to natural wind. In addition, this mode also allows users to manually adjust the setting parameters according to personal preferences to achieve the most comfortable driving experience. In this way, not only can the driving environment be optimized, but also the monitoring of the driver's concentration state can be indirectly supported, thus promoting a safer and more enjoyable driving journey.

[0076] To optimize the driving experience, the system introduces the "excitement air supply mode". This mode analyzes a variety of factors such as emotion index, heart rate changes, GPS positioning data, and infrared devices capturing the driver's facial expressions and driving behavior to assess the driver's emotional state. When the emotion index value is low, it means that the driver may be in a negative emotional state such as anger, sadness, etc., which is usually associated with bad driving behavior.

[0077] When the system detects that the driver exhibits negative emotions such as anger, frown or anxiety, accompanied by behaviors such as frequent horn, sharp turn, unstable speed, etc., and at the same time monitors the heart rate rising, the system will judge that the driver is in an angry or anxious state. At this time, the "excitement air supply mode" will be automatically activated. In this mode, the air conditioning system quickly reduces the air supply temperature, adjusts the air outlet direction to avoid direct blowing to the face or head, and gradually restores to normal level after a short time of increasing the wind speed. In addition, the air conditioning system also releases a mint fragrance to help calm the driver's emotions. It is worth noting that passengers can choose whether to enable the mint fragrance function according to their personal preferences.

[0078] Specifically, The lower the value, the worse the driving state of the driver in negative emotions such as anger, sadness, etc.

[0079] The "drowsy air supply mode" identifies the driver's alertness based on the fatigue index P. The fatigue index P is determined by analyzing the alpha, beta, and theta wave frequencies in the brain electrical signal. Specifically, In a state of fatigue, the P value is significantly higher than the value in a state of wakefulness.

[0080] Once the system detects that the driver enters a state of fatigue, it will take appropriate measures according to the different degrees of fatigue. For mild fatigue, any one or a combination of the following options can be selected: turning on the LED lamp breathing type flicker reminder, reducing the air supply temperature, or releasing the mint smell; while for severe fatigue, it is recommended to use all three methods at the same time, because the combination of multiple stimulation methods can more effectively improve the driver's alertness. In either state of fatigue, intermittent air supply and changing the air supply area will be immediately activated to maintain effective stimulation of the driver. In the case of mild fatigue, the driver can adjust according to his own habits. In addition, different levels of fatigue correspond to different pulse intensity settings, which are accurately adjusted according to the fatigue index P.

[0081] This multi-level and personalized coping strategy not only helps to improve driving safety, but also provides a more comfortable and personalized driving environment for the driver.

[0082] The P value in a state of fatigue will be significantly higher than the P value in a state of wakefulness, and when the system judges that the driver is in a "fatigue" state, the LED lamp will present a breathing type gradual fading flicker to remind the driver, and at the same time, "intermittent air supply" will be used to supply air to the driver's head direction, and the overall temperature of the air supply will be reduced based on the original air supply temperature.

[0083] It is worth mentioning that the LED light flickering, the reduced air supply temperature, and the released mint smell can be opened individually or simultaneously in any two or three combinations. However, a specific effective mode needs to be matched in a specific state. For example, when the driver is in the "severe fatigue" state, the three operations must be implemented simultaneously, because the wake-up effect of the composite stimulus is better than that of the single stimulus, and the intermittent air supply and the change of the air supply area are always turned on simultaneously as long as the driver is monitored to enter the fatigue state. In other light fatigue states, the LED light flickering and the reduced indoor temperature take alternative modes, so that the driver can choose according to his own habits. In addition, the pulse intensity in the three fatigue states is different, which is adjusted according to the fatigue index P.

[0084] In order to achieve more accurate passenger comfort management, the system introduces a "comfort target-oriented" mechanism. This mechanism combines electroencephalogram (EEG), heart rate variability (HRV), and infrared (IR) technology to assess the state of the passenger and adjust the air conditioning mode accordingly.

[0085] Specifically, the normal air supply mode is: Under normal circumstances, the system monitors the passenger's state through two infrared devices: one emits an infrared signal to the eyes, and the other measures the reflected wave. Due to the presence of tear film, the reflectivity when the eyes are open and closed is significantly different, so the blink frequency can be accurately detected. If the infrared device does not find any abnormalities, it is determined that the passenger is in a normal state, at which time the system automatically switches to "comfort mode". However, during vehicle driving, factors such as unstable road conditions or weather changes, and the passenger wearing sunglasses may affect the efficiency of the infrared device. In this case, more accurate judgments can be made by combining the data of electroencephalogram (EEG) and heart rate variability (HRV) and using the thermal comfort index F comf . ; EEG analysis: ; P(δ): power spectral density in the full frequency band (1-4 Hz). P(α): power spectral density in the α frequency band (8-13 Hz). P(β): power spectral density in the β frequency band (13-30 Hz). P(γ): power spectral density in the γ frequency band. When the value of increases, it indicates that the thermal comfort of the passenger increases.

[0086] HRV analysis: the time domain index RMSSD (root mean square of adjacent R-R interval differences), which directly reflects the activity of the parasympathetic nervous system. When the mood is happy, the value of RMSSD increases. It is calculated by , where N represents the total number of R-R intervals; RRi represents the length of the i-th R-R interval; when the value of RMSSD increases, it indicates that the thermal comfort of the passenger increases.

[0087] Based on the above data, the calculator operation controller can monitor in real time and evaluate the state of the passenger according to the information provided by the infrared device or the thermal comfort index Fcomf. As long as any one method shows that the passenger is in a suitable comfortable state, the calculator operation control system can automatically adjust the intelligent vehicle air conditioning system of the actuator to enter the "normal air supply mode". This mode simulates the wind speed and direction in the natural environment, providing a comfortable experience close to nature. In addition, users can also manually adjust the relevant parameters according to personal preferences to achieve the best comfort effect. In this way, the comfort of riding is improved.

[0088] Car sickness air supply mode: In order to deal with the problem of car sickness that passengers may encounter, the system introduces the "dizziness index F(X)" as the basis for judgment. This index is based on the frequency domain analysis of heart rate variability (HRV), specifically the ratio of low frequency power (LF) to high frequency power (HF) - LF / HF: Frequency domain index of heart rate variability HRV: Low / high frequency power ratio - LF / HF; LF (0.04-0.15 Hz): Mixed activity of sympathetic and parasympathetic nerves; HF (0.15-0.4 Hz): Pure parasympathetic nerve activity.

[0089] When the passenger feels dizzy, the F(X) value will rise. At this time, the system automatically switches to the "car sickness air supply mode" to provide a soothing and stable flow of air, adjust the air supply temperature to be close to or lower than the passenger's body temperature, and reduce the wind speed to reduce the stimulation to the passenger. Air supply is mainly concentrated in the face and hand areas, while increasing the oxygen content, such as opening the fresh air system or releasing citrus scent to alleviate discomfort. It is worth noting that although the increase of fresh air and the release of fragrance can be operated separately, when the car sickness symptoms are detected, the temperature must be adjusted, the wind speed must be reduced, and the air supply area must be changed to maximize the effect of relieving car sickness. The new fresh air and fragrance functions are selected for use according to personal preferences.

[0090] It needs to be specially pointed out that the opening / increase of fresh air and the release of citrus odor can be opened separately, or simultaneously. However, when the passenger feels dizzy and dizzy, the air supply temperature adjustment, the reduction of wind speed and the change of air supply area must be realized at the same time, because these operations can effectively reduce the passenger's car sickness feeling better. The opening / increase of fresh air and the release of citrus odor take the optional way, and the passenger can choose according to his own habits.

[0091] Sleepiness air supply mode: In terms of monitoring drowsiness, the system uses infrared devices to observe the eye reflections of the passengers. One infrared emitter sends a signal to the eyes, and another infrared photoresistor measures the reflected wave. Due to the presence of the tear film, there is a significant difference in reflectivity between open and closed eyes, so drowsiness can be identified by comparing the changes in the blink pattern. Once irregular blinking or abnormal eye movement is detected, the system considers that the passenger is drowsy, thereby activating the "drowsy air supply mode".

[0092] In addition, the drowsiness indicator F(rRR) can also be combined, which is calculated based on the Pearson correlation coefficient rRR of consecutive R-R intervals in heart rate variability. If F(rRR) < 1, it indicates that the passenger is in the rapid eye movement (REM) or light sleep stage; if F(rRR) is close to 1, it means that the adjacent R-R intervals are highly correlated, and the heart rate variation is stable, indicating that the passenger has entered deep sleep, accompanied by a decrease in body temperature. In this case, appropriately increasing the air supply temperature helps to maintain comfort. The calculation of rRR involves covariance (Cov) and standard deviation (σ): where Cov is the covariance and σ is the standard deviation.

[0093] In the "drowsy air supply mode", the system provides soft sleep air, avoiding direct blowing to the face. In particular, considering that the driver's body temperature is higher due to focusing on driving, the driver's seat air conditioning temperature in the "normal air supply mode" should be set 1-2°C lower than the passenger's position to ensure optimal comfort. This not only improves the overall passenger experience, but also ensures driving safety.

[0094] In an embodiment, referring to Figure 2 The above step S140 can include steps S141-S145.

[0095] S141, based on the pressure data, determine the specific area where the person is located to determine the air supply direction and target area.

[0096] In this embodiment, the position distribution of passengers in the vehicle is determined by analyzing the pressure sensor 1 data of the seats and foot areas. Based on this position information, the system can accurately determine the direction and target area of the air supply that needs to be adjusted.

[0097] S142, calculate the initial temperature of each area in combination with the environmental data.

[0098] In this embodiment, the initial temperature refers to the ideal temperature set for each seat area after considering the environmental factors inside and outside the vehicle.

[0099] In an embodiment, referring to Figure 3 The above step S142 can include steps S1421-S1422.

[0100] S1421, obtain the wall temperature and the light intensity, and determine the local equivalent radiation temperature.

[0101] In this embodiment, the local equivalent radiation temperature refers to a temperature calculated based on the wall temperature and the light intensity.

[0102] Specifically, the local equivalent radiation temperature is determined by determining the local equivalent radiation temperature, wherein Tw i is the wall temperature, E i is the light intensity in the vehicle; K1 and K2 are constant coefficients, and Te i is the local equivalent radiation temperature.

[0103] S1422, set the initial temperature of each vehicle seat area based on the local equivalent radiation temperature and the environmental data; The wall temperature is measured by a sensor installed at the inner surface of the vehicle shell, and the light intensity is obtained by a light sensor arranged above the center console near the bottom of the front windshield or the side window position.

[0104] Not only the local equivalent radiation temperature, but also other environmental parameters such as the temperature and humidity in the vehicle are considered to set a comfortable initial temperature. The system continuously adjusts according to the real-time collected data to adapt to the changes in the external environment.

[0105] Specifically, the initial temperature is determined by calculation; wherein K3 is a constant coefficient, and Top is the initial temperature.

[0106] When T2 < Top < T1, the air outlet of the corresponding seat area is closed or changed in direction to the area or its periphery where the operating temperature exceeds the range; when Top < T2, air conditioning cooling is performed; when Top > T1, air conditioning heating is performed. (The default values of T1 and T2 are 28℃ and 16℃ respectively) S143, adjust the mode of the vehicle air conditioner according to the initial temperature.

[0107] In this embodiment, according to the initial temperature determined in the previous step, the system automatically adjusts the working mode (such as cooling or heating) of the vehicle air conditioner to achieve the most suitable indoor temperature.

[0108] If the initial temperature < T2 (such as 16℃), the heating mode is started; if the initial temperature > T1 (such as 28℃), the cooling mode is switched to; otherwise, the current state is maintained.

[0109] The user can manually adjust the preset temperature through the user terminal, and the system will record and learn the user's preferences to optimize the subsequent automatic adjustment strategy.

[0110] S144, estimating the weight of the person on the seat of the vehicle by measuring the pressure of the seat area, combining the mode and calculating the required air conditioning cooling and heating capacity to obtain the cooling and heating capacity of the air supply.

[0111] In an embodiment, referring to Figure 4 The step S144 can include steps S1441-S1442.

[0112] S1441, estimating the weight of the person on the seat of the vehicle according to the pressure data of each area.

[0113] Specifically, by analyzing the pressure value Pu on the seat i and the foot ground area pressure value Pd, and combining the known ergonomic data model, the approximate weight Wi of the person on the seat is calculated.

[0114] S1442, calculating the required air conditioning cooling and heating capacity based on the weight and the preset standard air supply cooling and heating capacity or the default air supply heating capacity corresponding to the mode to obtain the cooling and heating capacity of the air supply.

[0115] According to the pressure data of each area, the weight of the person on the seat of the vehicle is estimated; based on the above-estimated weight and the preset standard air supply cooling and heating capacity or the default air supply heating capacity corresponding to the air conditioning working mode, the required air conditioning cooling and heating capacity is calculated to determine the cooling and heating capacity of the air supply.

[0116] The air conditioning cooling and heating capacity based on the pressure data size is calculated as follows.

[0117] The air conditioning cooling and heating capacity, cooling mode can be calculated according to the following formula:

[0118] The air conditioning cooling and heating capacity, heating mode can be calculated according to the following formula: ; Wherein, W i is the total weight at the seat i, Q i is the cooling and heating capacity of the air supply at the seat i; Q o is the default default air supply cooling and heating capacity; K3, K4, K5 and K6 are constant coefficients.

[0119] S145, determining the air supply mode of each area based on the blink frequency, facial expression, electrocardio signal and electroencephalogram signal collected by the infrared device, electrocardio sensor and the electroencephalogram signal acquisition module 2.

[0120] In this embodiment, The state of the driver and passengers is analyzed in real time based on the infrared device, electrocardio sensor, and the blink frequency, facial expression, electrocardio signal, and electroencephalogram signal collected by the electroencephalogram signal collection module to determine the air supply mode of each area, wherein the state is determined by the concentration index, emotion index, fatigue index, drowsiness index, thermal comfort index, dizziness index, infrared-monitored blink frequency, infrared-monitored facial expression, and infrared-monitored driving behavior. The concentration index is calculated by The SMR wave is a sensory motor rhythm, and the frequency range is 12-15 Hz. The frequency range of the alpha wave is 8-12 Hz; the frequency range of the beta wave is 16-20 Hz; and the frequency range of the theta wave is 4-8 Hz. The emotion index is The fatigue index P is determined by the frequency of the alpha, beta, and theta waves in the electroencephalogram signal. The drowsiness index is wherein Cov is the covariance, and SD is the standard deviation. The thermal comfort index is calculated by wherein P(δ) is the power spectral density in the full frequency band; P(α) is the power spectral density in the alpha frequency band; P(β) is the power spectral density in the beta frequency band; and P(γ) is the power spectral density in the gamma frequency band. N represents the total number of R-R intervals; and RRi represents the duration of the ith R-R interval. The dizziness index is calculated by wherein LF is the low-frequency power corresponding to the mixed activity of the sympathetic and parasympathetic nerves; and HF is the high-frequency power corresponding to the pure parasympathetic nerve activity.

[0121] This step involves using the heart rate and electroencephalogram signal collected by the electrocardio sensor and electroencephalogram signal collection module 2 to analyze the state of the driver and passengers in real time, and then determining the optimal air supply mode. The state assessment relies on the following indexes: Concentration index: measured by the brain wave activity in a specific frequency range.

[0122] Emotion index: reflects the emotional state of the individual.

[0123] Fatigue index: determined by the frequency of the alpha, beta, and theta waves in the electroencephalogram signal.

[0124] Thermal comfort index: derived from the correlation signal of heart rate variability and electroencephalogram signal, which judges the thermal comfort state of the passengers.

[0125] Dizziness index: calculated from the low-frequency / high-frequency power ratio in the frequency domain of heart rate variability.

[0126] Drowsiness indicator: calculated using the Pearson correlation coefficient rRR of consecutive R-R intervals.

[0127] Based on the above physiological indicators, the system will select the most appropriate air supply mode, such as "normal air supply mode", "excitement air supply mode", "sleep air supply mode", etc., to meet the actual needs of the driver and passengers.

[0128] In summary, through the above five steps, the system can intelligently adjust the working mode and parameters of the vehicle air conditioner, provide personalized air supply experience, and ensure the comfort and safety of the driver and passengers.

[0129] The method of this embodiment first integrates the environmental parameter collection system in the computer operation control system, automatically monitors and records the initial state of the air temperature, solar radiation temperature, vehicle moving distance and speed, etc. by using air sensors, radiation sensors (including vehicle wall temperature sensors and light sensors) and vehicle positioning sensors; then intelligently adjusts the vehicle air conditioner to the preset initial value based on these data, and allows the user to manually adjust the settings at the user end, while the system continuously learns the user's preferences to optimize the personalized initial temperature setting; further, the sensor combination including pressure sensor 1, electroencephalogram acquisition module 2, electrocardiogram sensor and infrared transmission receiver is arranged in the seat area where air conditioning is needed, the monitoring data of each area is sent to the user end data storage display system through wireless transmission equipment, and the computer operation control system processes these data to determine the air supply area and cold / heat quantity, judges the personnel distribution area based on the pressure distribution data to accurately control the air supply port direction, considers the influence of the air temperature and local equivalent radiation temperature in the vehicle to regulate the temperature, and adjusts the air conditioning cold / heat quantity according to the estimated value of the body weight in each area; finally, according to the heart rate variability HRV, electroencephalogram EEG and infrared monitoring data, the different needs of the driver seat and the passenger seat are distinguished to realize the automatic real-time regulation and control of the personalized air supply mode of "driving target orientation" and "comfort target orientation". This system not only improves the alertness of the driver and the thermal comfort of the passengers, but also enhances the overall driving experience by continuously learning and adapting to the habits of different users.

[0130] The brain-computer combined vehicle-mounted air conditioner intelligent air supply control method realizes comprehensive real-time monitoring of the vehicle interior environment and passenger state by integrating the environmental sensor and the human physiological signal monitoring device. Specifically, the environmental sensor is responsible for collecting data such as the temperature and solar radiation temperature in the vehicle, and automatically adjusts the air conditioner to the preset initial value in combination with the vehicle state; at the same time, the pressure sensor 1, the electroencephalogram signal acquisition module 2 and the electrocardiogram sensor embedded in the seat are respectively used for monitoring the position, psychological state and physiological condition of the passenger, so as to accurately adjust the air supply direction, air supply cold and heat and air supply mode of the air conditioner according to individual differences. For the driver, the system provides three air supply modes of normal, excitement and drowsiness to enhance driving safety and comfort; for the passenger, there are personalized air supply modes for special situations such as car sickness and drowsiness, so that every passenger can enjoy the most suitable vehicle interior environment, and the overall riding experience and health protection are improved. This intelligent adjustment mechanism not only considers the influence of environmental factors, but also pays special attention to the physical reactions of different passengers, and realizes highly personalized comfort adjustment.

[0131] Figure 6 is a flowchart of a brain-computer combined vehicle-mounted air conditioner intelligent air supply control method provided by another embodiment of the present application. As shown in Figure 6 the brain-computer combined vehicle-mounted air conditioner intelligent air supply control method of the present embodiment includes steps S210-S250. Steps S210-S240 are similar to steps S110-S140 in the above embodiment, and will not be described here. The step S250 added in the present embodiment will be described in detail below.

[0132] S250, record and analyze the physiological and environmental data of the driver and the passenger, learn and predict the state change, and automatically adjust the air supply mode of the vehicle-mounted air conditioner system.

[0133] In an embodiment, the above-mentioned step S250 can include steps S251-S252.

[0134] S251, for the driving position, record the various physiological data and environmental data of the driver at different time periods, set the parameters of pulse type refrigeration and natural air supply based on the respiratory cycle and heart rate in the physiological data, adjust the air supply details according to the fatigue index of the physiological data, analyze the physiological data and environmental data by using an AI algorithm to determine the optimal air supply parameters, and predict the state of the driver in real time for corresponding adjustment.

[0135] On the driving position, the system records various physiological and environmental data of the driver at different time periods through a series of sensors including but not limited to electroencephalogram EEG, heart rate variability HRV, infrared IR transmission receiver and GPS system. The specific steps are as follows: First, the system collects data on the driver's normal state, long-time driving, and after rest. These data include blink frequency, blink event-related potential (bERP), emotional indicators, area expressions, heart rate, driving behavior, and fatigue index.

[0136] Based on the collected respiratory cycle and heart rate data, the system sets the parameters for pulse cooling and natural-like air supply. For example, the pulse cooling cycle T is N times the respiratory cycle, and the cooling duration Tl is the user's inhalation time Ti. The power spectrum β range for natural-like air supply is set to be greater than 1, and the air supply cycle is dynamically adjusted according to the heart rate.

[0137] The system uses AI algorithms to process the recorded physiological and environmental data to determine the optimal air supply parameters and predict the driver's state in real time. When the driver is detected to be in a tired state, the system will increase the temperature difference ΔT, increase the air supply speed, and use intermittent air supply mode to stimulate the driver's alertness.

[0138] S252, for the passenger seat, record the physiological data and environmental data of the passenger in different states to obtain passenger data; apply AI algorithms to process the passenger data and automatically adjust the air supply mode to improve comfort based on real-time state.

[0139] For the passenger seat, the system adopts similar strategies, but focuses more on improving the thermal comfort and health status of the passengers. The specific implementation steps include: Record the physiological data and environmental data of the passenger in normal state, car sickness state, and sleep state. This includes EEG signals, heart rate variability, and infrared device monitoring data.

[0140] Use AI algorithms to process the collected data to identify the current state of the passenger and automatically adjust the air supply mode accordingly. For example, when the passenger feels car sickness or is about to fall asleep, the system will automatically switch to the car sickness air supply mode or the drowsiness air supply mode, providing a softer air speed and suitable temperature, thereby improving the comfort of the passengers.

[0141] Through the above steps, the system not only responds to the immediate needs of the driver and passengers in real time, but also continuously optimizes its prediction model through learning from historical data, thereby more accurately predicting future possible state changes and making corresponding adjustment measures, ultimately achieving the goal of improving the overall comfort of the people in the vehicle.

[0142] Specifically, by recording and learning the different states of the driver and passengers, predicting their state transitions, and adjusting the working mode of the vehicle air conditioning system in a timely manner. The system not only considers basic control parameters such as refrigeration parameters (such as refrigeration time Tl and refrigeration period T), air supply direction, air supply speed Va, etc., but also introduces the function of releasing mint or citrus scent to enhance the comfort and alertness of users.

[0143] For the driver's seat, the physiological rhythm dynamic control individual air supply mode is adopted, mainly including pulse refrigeration + natural air supply and pulse refrigeration + intermittent air supply two modes. The specific process is as follows: Data collection and recording: the driver drives the vehicle continuously for t0 minutes in normal driving state, and records his electroencephalogram (EEG) signal, heart rate variability, infrared monitoring data, GPS and driving behavior information during this period.

[0144] Continue to record the situation of the driver after driving for a long time t1 minutes, and capture the relevant physiological and behavioral data again.

[0145] After the driver rests for t2 minutes, the corresponding physiological and behavioral parameters are also collected and recorded.

[0146] Data analysis and processing: according to the data of multiple dimensions such as blink frequency, blink event related potential (bERP), area expression, heart rate, driving behavior, concentration index EEG attention , emotion index EEG emo and fatigue index P, specific algorithm is applied for analysis, and the results are archived.

[0147] Air supply parameter setting: to adapt to different states, the pulse refrigeration period T is set as the respiratory period *N, and the refrigeration time Tl is based on the user's inhalation time Ti; in the natural air supply mode, the power spectrum β0 is set to be greater than 1, and the air supply period is divided into large period Td, small period Tx and random fluctuation value Vf.

[0148] The large period Td is calculated as M*60 divided by heart rate, and the small period Tx is 60 divided by (heart rate*M), while the fluctuation values Vfa or Vfe are adjusted according to the concentration index EEG attention , emotion index EEG emo value adjustment coefficient λ in normal and excited air supply modes, Vfa=λ / EEG attention , Vfe=λ / EEG emo . At the same time, the air supply temperature drop Tj in excited air supply mode is n*Tu (Tu is the body temperature of the user at that time monitored by infrared, n<1).

[0149] In the drowsy air supply mode, the pulse refrigeration increases the temperature difference ΔT, which is adjusted according to the fatigue index P, and the temperature difference ΔT = ΔT0*P (T0 = 2℃); the power spectrum β1 range of the intermittent air supply is set to be greater than 1, the intermittent air supply period Toff = Ti*(1+P / m), the greater the fatigue index, the longer the intermittent period, and the LED light flashing frequency fLED = fbreath*K (fbreath is the user's breathing frequency).

[0150] The air supply speed Va is related to the user's heart rate frequency fH, Va = Va0*(fH / fH0) (excitement air supply mode) or Va = Va0*(fH0 / fH) (drowsy air supply mode). Wherein, P is the fatigue index, Va0 and fH0 are the air supply speed and the driver's heart rate frequency under normal driving, K, N and M are integers such as 1, 2, 3, and n, m, λ are constant coefficients.

[0151] In the normal and excitement modes, the air supply direction avoids affecting the head or face; and in the drowsy mode for stimulating alertness, it is concentrated on the head area.

[0152] Intelligent parameter optimization: use AI algorithm to combine environmental and physiological monitoring data to optimize all the above parameters, determine the best configuration point, and realize personalized air supply experience.

[0153] Based on real-time data, the state change of the driver is predicted, and the air supply system is automatically adjusted accordingly to improve alertness or relieve fatigue.

[0154] User feedback and model correction: the system allows users to manually adjust air supply settings such as LED light flashing frequency, temperature reduction degree, and fragrance selection, and these preferences will be recorded as the basis for model correction.

[0155] If frequent manual adjustments or reset requests are detected, the system will repeat the above learning process to generate a new prediction model, and integrate multiple historical models through weight allocation to form a comprehensive prediction model Modelz, where α is a constant less than 1, used to balance the importance of models at different times. Specifically, Modelz= ; Wherein, α is a constant (<1, which can be 0.8); Modelod-i is the i-th model, for example, Modelod-0 is the latest model obtained, Modelod-1 is the previous model obtained, and Modelod-n is the n-th model obtained Through such a cycle iteration, the system can continuously evolve to provide more accurate and personalized services, and improve the overall comfort and safety of the driver and passenger.

[0156] The passenger seats also employ a similar biorhythm-controlled personalized airflow mode, but the specific implementation differs. It primarily includes two modes: pulse cooling + simulated natural airflow and continuous cooling + steady-flow airflow. The steps are similar to those for the driver's seat, but parameter settings and mode selection have been optimized for passenger needs, such as special adjustments to the airflow mode for passengers experiencing motion sickness.

[0157] The specific process is as follows: Data collection phase: During the passenger's normal state for t0 minutes, their electroencephalogram (EEG) signals, heart rate variability, and infrared monitoring data were recorded. When the passenger exhibited motion sickness symptoms, relevant data were recorded for t1 minutes. When the passenger was asleep, data was collected for t2 minutes.

[0158] Data analysis and processing: The collected data is processed and the results are recorded based on blink frequency and other relevant indicators.

[0159] Physiological rhythm dynamic control of air supply parameter settings: For pulse cooling, the cycle T is set to respiratory cycle * N, and the cooling duration Tl is based on the user's inhalation time Ti; in the simulated natural air supply mode, the power spectrum β2 is greater than 1, and the air supply cycle is decomposed into a large cycle Td, a small cycle Tx, and a random pulsation value Vf.

[0160] The large-cycle Td is calculated as M*60 divided by the heart rate, and the small-cycle Tx is 60 divided by (heart rate*M). The pulse value Vfc or Vfx is based on the thermal comfort index F under normal and drowsy ventilation modes. comf And the adjustment coefficient λ for the dizziness index F(X), Vfc=λ / F comf Vfx=λ / F(X) (Drowsiness ventilation mode when F(rRR)<1).

[0161] The continuous cooling uses a fixed cycle Tg. The power spectrum β3 in the steady flow air supply mode is greater than 1. The air supply cycle is also divided into a large cycle Td and a Ty for motion sickness mode.

[0162] In the drowsy ventilation mode (when F(rRR) is close to 1), the large cycle Td is equal to M*60 divided by the heart rate, while in the motion sickness mode, the ventilation has no cycle change and the airflow parameter is constant at Ty.

[0163] The air supply temperature is adjusted based on the body temperature Tu detected by infrared monitoring. Td = n * Tu. In motion sickness mode, n is less than 1, and in drowsy mode, n is greater than 1.

[0164] The air supply speed Va is adjusted according to the heart rate frequency fH, Va=Va0*(fH / fH0) in the drowsiness mode, and Va=Va0*(fH0 / fH) in the car sickness mode, where Va0 and fH0 are the air supply speed and the driver's heart rate frequency in normal driving, N and M are integers such as 1, 2, 3, and n and λ are constant coefficients.

[0165] In the normal air supply mode and the drowsiness air supply mode, the air supply direction avoids affecting the head or face, while in the car sickness mode, it should focus on these areas to provide a stimulating effect.

[0166] In the drowsiness mode, the cold and hot quantity of air supply is multiplied by a coefficient α in the normal mode, which is less than 1 when cooling and greater than 1 when heating.

[0167] Intelligent dynamic air supply record: Use different combinations of N and M to record blink frequency and other related indicators.

[0168] AI algorithm optimization: Use AI algorithms to optimize parameters based on environmental and physiological monitoring data to find the optimal configuration point.

[0169] Real-time adjustment and state prediction: Based on real-time data, predict passenger state changes and automatically adjust the air supply system to improve thermal comfort.

[0170] User preference learning and feedback mechanism: The system allows users to manually adjust air supply parameters, such as selecting whether to turn on fresh air function or release citrus scent, and the system will learn these behavior preferences and correct the model.

[0171] If frequent manual adjustments are found, repeat the above process, update the prediction model and integrate historical models through weight allocation to generate a comprehensive prediction model Modelz, where α is a constant less than 1, used to balance the importance of different models. Modelz= ; where α is a constant (<1, which can be 0.8); Modelod-i is the first i model, for example, Modelod-0 is the latest model obtained, Modelod-1 is the previous model obtained, and Modelod-n is the previous n times model obtained.

[0172] This process aims to continuously learn through iteration, enabling the system to more accurately meet individual needs and improve the comfort and safety of the driving experience.

[0173] The system can independently control the driver's seat and different passenger seat areas, supply air as a whole according to the total pressure, and adjust the cold and hot quantity of air supply according to the pressure sensor 1 data of each area.

[0174] The system can also predict the state of the driver / passenger, such as from a normal state to a negative emotion dominant state or a tired state, and take corresponding adjustment measures to improve the alertness of the driver and the thermal comfort of the passenger.

[0175] By continuously learning the user's behavior preferences through AI algorithms, the model is corrected to adapt to a wider range of situations, and ultimately a comprehensive prediction model Modelz is obtained, making the entire system more intelligent and personalized.

[0176] In summary, the embodiment provides a highly intelligent and personalized vehicle air conditioning air supply control system and method, which realizes precise control of various parameters such as indoor temperature, air supply direction and fragrance release by combining environmental monitoring and physiological signal analysis, greatly improving the driving experience.

[0177] Figure 7 is a schematic block diagram of a brain-machine combined vehicle air conditioner intelligent air supply control system 300 provided by the embodiment of the present application. As Figure 7 shown, corresponding to the above brain-machine combined vehicle air conditioner intelligent air supply control method, the present application also provides a brain-machine combined vehicle air conditioner intelligent air supply control system 300. The brain-machine combined vehicle air conditioner intelligent air supply control system 300 includes units for executing the above brain-machine combined vehicle air conditioner intelligent air supply control method, and the system can be configured in a server. Specifically, please refer to Figure 7 , the brain-machine combined vehicle air conditioner intelligent air supply control system 300 includes an environmental data acquisition unit 301, a first adjustment unit 302, a monitoring data acquisition unit 303, and a second adjustment unit 304.

[0178] The environment data acquisition unit 301 is configured to acquire environment data monitored and recorded by an environment sensor, wherein the environment data comprises an in-vehicle temperature, a solar radiation temperature and a vehicle state; the first adjustment unit 302 is configured to automatically adjust a vehicle-mounted air conditioner to a preset initial value based on the environment data; the monitoring data acquisition unit 303 is configured to acquire monitoring data collected by a pressure sensor 1 arranged in a vehicle seat, an electroencephalogram signal acquisition module 2, an electrocardiosensor and an infrared sensor; the second adjustment unit 304 is configured to adjust a blowing direction, a blowing cold and heat quantity and a blowing mode of the vehicle-mounted air conditioner based on the monitoring data, so as to realize individualized comfort adjustment; wherein the blowing cold and heat quantity, the blowing direction and the blowing initial temperature are determined based on the pressure sensor and the environment data; the blowing mode is determined based on electrocardiosensor and electroencephalogram signals and a heart rate collected by the electroencephalogram signal acquisition module; the blowing mode comprises a driving position-oriented air conditioner blowing mode and a passenger comfort-oriented air conditioner blowing mode; the driving position-oriented air conditioner blowing mode comprises a normal blowing mode, an excited blowing mode and a drowsy blowing mode, and the safety and comfort of a driver are improved; the passenger comfort-oriented air conditioner blowing mode comprises a normal blowing mode, a car-sickness blowing mode and a drowsy blowing mode, and the comfort and health state of a passenger are improved.

[0179] In an embodiment, the second adjustment unit 304 comprises: A first determination subunit is configured to determine a specific area where a person is based on pressure data, so as to determine a blowing direction and a target area; a calculation subunit is configured to calculate an initial temperature of each area in combination with the environment data; an adjustment subunit is configured to adjust a mode of the vehicle-mounted air conditioner according to the initial temperature; a blowing cold and heat quantity calculation subunit is configured to estimate a body weight of the person by measuring a pressure size of a vehicle seat area, calculate a required air conditioner blowing cold and heat quantity in combination with the mode, so as to obtain the blowing cold and heat quantity; and a second determination subunit is configured to determine a blowing mode of each area based on an infrared device, an electrocardiosensor and electroencephalogram signals collected by the electroencephalogram signal acquisition module 2.

[0180] In an embodiment, the first determination subunit comprises: An acquisition module is configured to acquire a wall surface temperature and an illumination intensity, and determine a local equivalent radiation temperature; and a setting module is configured to set an initial temperature of each vehicle seat area based on the local equivalent radiation temperature and the environment data; the wall surface temperature is measured by a sensor arranged at an inner surface of a vehicle shell, and the illumination intensity is acquired by a light sensor arranged above a center console, close to a bottom of a front windshield or a side window position.

[0181] In an embodiment, the second determining subunit is configured to determine the air supply mode of each region based on real-time analysis of the state of the driver and the passenger by the infrared device, the electrocardiograph sensor, and the blink frequency, facial expression, electrocardiograph signal, and electroencephalograph signal collected by the electroencephalograph signal collection module 2, wherein the state is determined by the concentration index, the emotion index, the fatigue index, the drowsiness index, the thermal comfort index, the dizziness index, the infrared-monitored blink frequency, the infrared-monitored facial expression, and the infrared-monitored driving behavior.

[0182] In an embodiment, the air supply cold and heat quantity calculation subunit comprises: an estimation module configured to estimate the body weight of the person on the vehicle seat according to the pressure data of each region; and a cold and heat quantity calculation module configured to calculate the required air conditioning air supply cold and heat quantity based on the body weight and the preset standard air supply cold and heat quantity or the default air supply heat quantity corresponding to the mode, so as to obtain the air supply cold and heat quantity.

[0183] Figure 8 is a schematic block diagram of a brain-computer combined vehicle-mounted air conditioner intelligent air supply control system 300 provided by another embodiment of the present application. As shown in Figure 8 the brain-computer combined vehicle-mounted air conditioner intelligent air supply control system 300 of the present embodiment is based on the above-mentioned embodiment and additionally comprises a learning unit 305.

[0184] The learning unit 305 is configured to record and analyze the physiological and environmental data of the driver and the passenger, learn and predict the state change, and automatically adjust the air supply mode of the vehicle-mounted air conditioner system.

[0185] In an embodiment, the learning unit 305 is configured to: for the driving position, record a plurality of physiological data and environmental data of the driver at different time periods, set the parameters of the pulse type refrigeration and the natural air supply based on the respiratory cycle and the heart rate in the physiological data, adjust the air supply details according to the fatigue index of the physiological data, analyze the physiological data and the environmental data by using an AI algorithm, determine the optimal air supply parameters, and predict the state of the driver in real time to make corresponding adjustment; for the passenger position, record the physiological data and the environmental data of the passenger at different states to obtain passenger data; and process the passenger data by using an AI algorithm to automatically adjust the air supply mode according to the real-time state to improve the comfort.

[0186] It should be noted that the specific implementation process of the brain-computer combined vehicle-mounted air conditioner intelligent air supply control system 300 and each unit can be clearly understood by those skilled in the art, which can be referred to the corresponding description in the foregoing method embodiments, and will not be described herein for the sake of brevity and conciseness.

[0187] The brain-computer combined vehicle-mounted air conditioner intelligent air supply control system 300 can be implemented in the form of a computer program, which can run on a computer device as shown in the drawings. Figure 9

[0188] Please refer to Figure 9 , Figure 9 is a schematic block diagram of a computer device provided by an embodiment of the present application. The computer device 500 can be a standalone server, or a server cluster composed of multiple servers.

[0189] Referring to Figure 9 , the computer device 500 includes a processor 502, a memory, and a network interface 505 connected through a system bus 501, wherein the memory can include a non-volatile storage medium 503 and an internal memory 504.

[0190] The non-volatile storage medium 503 can store an operating system 5031 and a computer program 5032. The computer program 5032 includes program instructions that, when executed, cause the processor 502 to perform a brain-computer combined vehicle-mounted air conditioner intelligent air supply control method.

[0191] The processor 502 is configured to provide computing and control capabilities to support the operation of the entire computer device 500.

[0192] The internal memory 504 provides an environment for the execution of the computer program 5032 in the non-volatile storage medium 503, which, when executed by the processor 502, causes the processor 502 to perform a brain-computer combined vehicle-mounted air conditioner intelligent air supply control method.

[0193] The network interface 505 is configured to communicate with other devices over a network. Those skilled in the art can understand that Figure 9 the structure shown in the drawings is only a block diagram of part of the structure related to the scheme of the present application, and does not constitute a limitation on the computer device 500 to which the scheme of the present application is applied. The specific computer device 500 can include more or fewer components than those shown in the drawings, or combine certain components, or have a different arrangement of components.

[0194] The processor 502 is configured to run the computer program 5032 stored in the memory to implement all steps of the brain-computer combined vehicle-mounted air conditioner intelligent air supply control method.

[0195] ​It should be understood that, in the embodiments of the present application, the processor 502 can be a central processing unit (CPU), and can also be other general-purpose processors, digital signal processors (DSP), application specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gates or transistor logic, discrete hardware components, etc. The general-purpose processor can be a microprocessor or any conventional processor.

[0196] It can be understood by those skilled in the art that all or part of the processes in the above-mentioned embodiments can be completed by a computer program instructing related hardware. The computer program includes program instructions, and the computer program can be stored in a storage medium, which is a computer-readable storage medium. The program instructions are executed by at least one processor in the computer system to implement the process steps of the above-mentioned embodiments.

[0197] Therefore, the present application also provides a storage medium. The storage medium can be a computer-readable storage medium. The storage medium stores a computer program, wherein the computer program is executed by a processor to make the processor execute all steps of the brain-computer combined vehicle-mounted air conditioner intelligent air supply control method.

[0198] The storage medium can be a U disk, a mobile hard disk, a read-only memory (ROM), a magnetic disk or an optical disk, and various computer-readable storage media that can store program codes.

[0199] It can be understood by those skilled in the art that the units and algorithm steps of the examples described in combination with the embodiments disclosed herein can be realized in electronic hardware, computer software or a combination of both. In order to clearly illustrate the interchangeability of hardware and software, the components and steps of the examples have been described in the above description in general terms. Whether the functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. A person skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the present application.

[0200] In several embodiments provided by the present application, it should be understood that the disclosed system and method can be implemented in other manners. For example, the division of the system embodiments is merely illustrative. For example, the division of the units can be divided in another manner, for example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. The disclosed embodiments of the present application are not limited to the described division.

[0201] The steps in the method embodiments of the present application can be adjusted, combined and deleted in sequence according to actual needs. The units in the system embodiments of the present application can be combined, divided and deleted according to actual needs. In addition, each functional unit in each embodiment of the present application can be integrated in a processing unit, or each unit can exist physically, or two or more units can be integrated in one unit.

[0202] The integrated unit, if realized in the form of a software functional unit and sold or used as an independent product, can be stored in a storage medium. Based on such understanding, the technical solutions of the present application essentially or say the part of the prior art that makes a contribution, or the whole or part of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes a plurality of instructions for causing a computer device (which can be a personal computer, a terminal or a network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application.

[0203] The above description is merely a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art can easily think of various equivalent modifications or replacements within the technical range disclosed by the present application, and these modifications or replacements should be covered in the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A brain-computer interface-based intelligent air supply control method for vehicle air conditioning, characterized in that, include: Acquire environmental data monitored and recorded by environmental sensors, wherein the environmental data includes in-vehicle temperature, solar radiation temperature, and vehicle status; The vehicle's air conditioning system is automatically adjusted to a preset initial value based on the environmental data. Acquire monitoring data from pressure sensors, EEG signal acquisition modules, ECG sensors, and infrared sensors installed in the vehicle seat; The airflow direction, cooling / heating temperature, and airflow mode of the vehicle air conditioner are adjusted based on the monitoring data to achieve personalized comfort adjustment; wherein, the cooling / heating temperature, airflow direction, and initial airflow temperature are determined based on pressure sensors and environmental data; and the airflow mode is determined based on electrocardiogram sensors and the electroencephalogram (EEG) signals and heart rate collected by the EEG signal acquisition module. The air supply modes include a driver-oriented air conditioning air supply mode and a passenger comfort-oriented air conditioning air supply mode. The driver-oriented air conditioning air supply modes include normal air supply mode, excitement air supply mode and drowsy air supply mode, which improve the driver's safety and comfort. The passenger comfort-oriented air conditioning modes include normal air supply mode, motion sickness air supply mode, and drowsiness air supply mode, which improve passenger comfort and health.

2. The brain-computer interface vehicle air conditioning intelligent air supply control method according to claim 1, characterized in that, The driver-oriented normal air supply mode uses sensor technology to monitor vehicle status and driver concentration, providing wind speed and direction simulated from a natural environment to maintain a comfortable driving experience. The exhilarating air delivery mode includes automatically and quickly reducing the air delivery temperature, changing the air delivery area to avoid blowing directly on the face or head, briefly changing the air delivery speed, and releasing a minty scent to help soothe emotions when the driver is detected to be in a negative or highly excited state. The sleepiness ventilation mode dynamically adjusts the ventilation strategy according to the degree of fatigue, including using intermittent ventilation, changing the ventilation area, directing the airflow towards the driver's head, flashing LED lights, lowering the temperature, and releasing a minty scent to increase the driver's alertness. The motion sickness ventilation mode adjusts the air supply based on the dizziness index, adopts a gentle and steady air supply, namely low wind speed, air temperature lower than body temperature, changes the air supply area, directs the airflow towards the passenger's face and hands, increases oxygen content, and offers an optional citrus scent to reduce passenger discomfort. The drowsy air delivery mode determines whether the passenger is drowsy by analyzing blink patterns and heart rate variability, and determines the passenger's sleep stage based on drowsiness indicators. It also adopts a gentle air delivery strategy that avoids direct airflow to the face to optimize the passenger's comfort. The passenger comfort-oriented normal air supply mode uses infrared devices, EEG, and heart rate variability to monitor the passenger's status and provides wind speed and direction that simulate the natural environment to ensure overall comfort.

3. The brain-computer interface vehicle air conditioning intelligent air supply control method according to claim 1, characterized in that, The adjustment of the airflow direction, cooling / heating capacity, and airflow mode of the vehicle air conditioner based on the monitoring data to achieve personalized comfort adjustment includes: Based on pressure data, the specific area where personnel are located is determined in order to determine the air supply direction and target area; Calculate the initial temperature of each region based on the environmental data; Adjust the vehicle's air conditioning mode according to the initial temperature; The weight of the person is estimated by measuring the pressure in the vehicle's seat area, and the required cooling and heating capacity of the air conditioning is calculated by combining the above pattern. The air delivery mode for each area is determined based on the blink frequency, facial expression, ECG signal, and EEG signal collected by the infrared device, ECG sensor, and EEG signal acquisition module.

4. The brain-computer interface vehicle air conditioning intelligent air supply control method according to claim 3, characterized in that, The calculation of the initial temperature for each region based on the environmental data includes: Obtain wall temperature and light intensity, and determine local equivalent radiation temperature; The initial temperature of each vehicle seating area is set based on the local equivalent radiation temperature and the environmental data. The wall temperature is measured by a sensor installed on the inner surface of the vehicle body, and the light intensity is obtained by a light sensor located above the center console near the bottom of the windshield or the side window.

5. The brain-computer interface vehicle air conditioning intelligent air supply control method according to claim 4, characterized in that, The process of acquiring wall temperature and light intensity, and determining local equivalent radiation temperature, includes: use Determine the local equivalent radiation temperature, where Tw i E represents the wall temperature. i The light intensity inside the vehicle; K1 and K2 are constant coefficients, Te i This refers to the local equivalent radiation temperature. Initial temperature through Calculate; where K3 is a constant coefficient and Top is the initial temperature.

6. The brain-computer interface vehicle air conditioning intelligent air supply control method according to claim 4, characterized in that, The method of determining the air delivery mode for each region based on blink frequency, facial expression, ECG signals, and EEG signals acquired by the infrared device, ECG sensor, and EEG signal acquisition module includes: Based on the blink frequency, facial expression, ECG signal and EEG signal collected by the infrared device, ECG sensor and the EEG signal acquisition module, the state of the driver and passenger is analyzed in real time to determine the air supply mode of each area. The state is determined by attention index, emotion index, fatigue index, drowsiness index, thermal comfort index, dizziness index, blink frequency monitored by infrared, facial expression monitored by infrared, and driving behavior monitored by infrared. Among them, the focus index is obtained through Calculations show that SMR waves represent sensorimotor rhythms with a frequency range of 12–15 Hz. The frequency range of θ is 16-20Hz; the frequency range of θ is 4-8Hz. Sentiment indicators are The fatigue index P is determined by the frequencies of the α, β, and θ bands in the electroencephalogram (EEG) signal. The drowsiness index is Where Cov is the covariance. Standard deviation; Thermal comfort index is obtained through The calculation yielded that, P(δ) is the power spectral density across the entire frequency band; P(α) is the power spectral density in the α frequency band; P(β) is the power spectral density in the β frequency band; P(γ) is the power spectral density in the γ frequency band. N represents the total number of RR intervals; RRi represents the duration of the i-th RR interval; The vertigo index is obtained through The calculations show that LF represents the low-frequency power corresponding to the mixed activity of the sympathetic and parasympathetic nervous systems, while HF represents the high-frequency power corresponding to pure parasympathetic activity.

7. The brain-computer interface vehicle air conditioning intelligent air supply control method according to claim 4, characterized in that, The process of estimating occupant weight by measuring the pressure in the vehicle's seating area, combining this with the aforementioned pattern, and calculating the required cooling or heating capacity of the air conditioning supply to obtain the cooling or heating capacity includes: Estimate the weight of people in vehicle seats based on pressure data from each region; The required air conditioning cooling capacity is calculated based on the body weight and the preset standard or default air supply cooling capacity corresponding to the mode.

8. The brain-computer interface vehicle air conditioning intelligent air supply control method according to claim 1, characterized in that, After adjusting the airflow direction, cooling / heating capacity, and airflow mode of the vehicle air conditioner based on the monitoring data, the method further includes: Record and analyze physiological and environmental data of drivers and passengers, learn and predict changes in condition, and automatically adjust the air delivery mode of the vehicle's air conditioning system.

9. A brain-computer interface vehicle air conditioning intelligent air supply control method according to claim 8, characterized in that, The recording and analysis of physiological and environmental data of drivers and passengers, learning and predicting changes in state to automatically adjust the airflow mode of the vehicle's air conditioning system includes: For the driver's seat, various physiological and environmental data of the driver at different time periods are recorded. Based on the respiratory cycle and heart rate in the physiological data, the parameters of pulse cooling and natural air supply are set. At the same time, the air supply details are adjusted according to the fatigue index of the physiological data. The physiological and environmental data are analyzed by AI algorithm to determine the optimal air supply parameters and make corresponding adjustments based on the driver's state in real time. For passenger seats, physiological and environmental data of passengers in different states are recorded to obtain passenger data; AI algorithms are applied to process the passenger data and automatically adjust the air supply mode according to the real-time status to improve comfort.

10. A brain-computer interface vehicle air conditioning intelligent air supply control system, characterized in that, include: An environmental data acquisition unit is used to acquire environmental data monitored and recorded by environmental sensors, wherein the environmental data includes in-vehicle temperature, solar radiation temperature, and vehicle status. The first adjustment unit is used to automatically adjust the vehicle air conditioner to a preset initial value based on the environmental data. The monitoring data acquisition unit is used to acquire monitoring data collected by pressure sensors, electroencephalogram (EEG) signal acquisition modules, electrocardiogram (ECG) sensors, and infrared sensors installed in the vehicle seat. The second adjustment unit is used to adjust the air delivery direction, air cooling / heating temperature, and air delivery mode of the vehicle air conditioner based on the monitoring data to achieve personalized comfort adjustment; wherein, the air cooling / heating temperature, air delivery direction, and initial air delivery temperature are determined based on pressure sensors and environmental data; and the air delivery mode is determined based on electrocardiogram sensors and the electroencephalogram (EEG) signals and heart rate collected by the EEG signal acquisition module. The air supply modes include a driver-oriented air conditioning air supply mode and a passenger comfort-oriented air conditioning air supply mode. The driver-oriented air conditioning air supply modes include normal air supply mode, excitement air supply mode and drowsy air supply mode, which improve the driver's safety and comfort. The passenger comfort-oriented air conditioning modes include normal air supply mode, motion sickness air supply mode, and drowsiness air supply mode, which improve passenger comfort and health.

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