Vehicle-mounted fragrance recommendation method and system, vehicle-mounted equipment and storage medium

Abstract

The invention relates to the field of vehicle-mounted fragrance recommendation, and discloses a vehicle-mounted fragrance recommendation method and system, vehicle-mounted equipment and a storage medium. According to the vehicle-mounted fragrance recommendation method, vehicle-mounted environment data, driver behavior data and driver physiological data are obtained, all the data are analyzed, characteristics related to driver fragrance preference are extracted, and the characteristics related to driver fragrance preference are extracted; and generating a fragrance preference database. According to the method, the current physiological state of the driver is recognized based on the physiological data, collected in real time, of the driver, the vehicle-mounted fragrance recommendation scheme corresponding to the current physiological state is intelligently matched from the fragrance preference database, the in-vehicle atmosphere can be dynamically adjusted in different driving scenes by releasing the fragrance in the vehicle-mounted fragrance recommendation scheme, and the driving experience of the driver is improved. The fatigue, pressure or nervous emotion of the driver is relieved, the driving comfort and experience are improved, and a pleasant and healthy in-vehicle environment is created for the driver.

Description

Technical Field

[0001] The present application relates to the technical field of in-vehicle fragrance recommendation, and in particular to an in-vehicle fragrance recommendation method, system, in-vehicle device and storage medium. Background Art

[0002] With the continuous development of the automobile industry and technological progress, the comfort and intelligence level of the in-car environment has become one of the important factors affecting the driving experience. On the basis of ensuring driving safety, modern automobiles are paying more and more attention to providing drivers and passengers with a comfortable and healthy in-car environment. Especially in long-term driving or special driving scenarios, how to adjust the in-car atmosphere through scientific means, relieve driving fatigue, and improve the driver's emotional state has become an important direction for the development of automobile intelligence. As an important means to improve the comfort of the car, the in-car fragrance system has gradually been applied to some mid-to-high-end models. By releasing different types of fragrances (for example, solid balms, liquid perfumes, and spray fragrances), a pleasant atmosphere is created to improve the experience of drivers and passengers.

[0003] However, the existing in-vehicle fragrance systems still have many shortcomings: first, there is a lack of intelligent and personalized recommendations. The system mainly relies on manual operation of the driver and cannot dynamically recommend suitable fragrances based on the driver's real-time physiological state and in-vehicle environmental data; second, it ignores the driver's physiological state and fails to combine physiological data such as heart rate, blood pressure, and skin resistance for real-time monitoring and analysis to provide targeted fragrance adjustment solutions; third, the environmental adaptability is insufficient. The system cannot dynamically adjust the release concentration and duration of the fragrance according to changes in temperature and humidity in the car, resulting in a mismatch between the volatility characteristics of different fragrance types and actual usage needs; fourth, there is a lack of multi-dimensional data fusion and big data support, and fails to combine the driver's behavioral data (for example, temperature adjustment records, fragrance selection preferences) with user feedback data for deep learning and analysis to form the optimal fragrance recommendation solution.

[0004] Therefore, how to combine the in-vehicle environment data, the driver's physiological state and behavioral data, intelligently recommend in-vehicle fragrances suitable for the current state, and dynamically optimize the fragrance release parameters to further improve the overall driving experience and ride comfort has become an important issue that needs to be solved urgently. Summary of the invention

[0005] In view of this, the embodiments of the present application provide a vehicle-mounted fragrance recommendation method, system, vehicle-mounted device and storage medium, which can effectively solve the problems of existing vehicle-mounted fragrance systems lacking intelligent and personalized recommendations, failing to dynamically adjust according to the driver's physiological state, insufficient environmental adaptability, and lacking multi-dimensional data fusion and analysis.

[0006] In a first aspect, an embodiment of the present application provides a method for recommending in-vehicle fragrance, comprising:

[0007] Acquire vehicle environment data, driver behavior data, and driver physiological data;

[0008] Analyzing the vehicle environment data, the driver behavior data, and the driver physiological data, extracting features related to the driver's fragrance preference, so as to generate a fragrance preference database;

[0009] Identifying the current physiological state of the driver based on the current physiological data of the driver, and selecting a vehicle-mounted fragrance recommendation scheme matching the current physiological state from the fragrance preference database;

[0010] Release the fragrance in the recommended car fragrance solution.

[0011] In some embodiments, the in-vehicle fragrance recommendation method further includes:

[0012] updating the fragrance preference database according to the driver's feedback information, wherein the feedback information includes the driver's subjective evaluation of fragrance use and manual adjustment records;

[0013] When changes in the driver's physiological data are monitored, the current physiological state of the driver is acquired, and a new vehicle-mounted fragrance recommendation scheme is dynamically generated based on the updated fragrance preference database.

[0014] In some embodiments, the acquiring of vehicle environment data, driver behavior data, and driver physiological data includes:

[0015] Monitor the in-vehicle environment based on the on-board environmental sensor and obtain in-vehicle environment data;

[0016] Acquiring the driver's behavior data according to the driver's behavior operations on the vehicle-mounted central control system;

[0017] Based on the physiological monitoring sensor, the physiological data of the driver is monitored and acquired.

[0018] In some embodiments, the analyzing the vehicle environment data, the driver behavior data, and the driver physiological data to extract features related to the driver's fragrance preference to generate a fragrance preference database includes:

[0019] Based on the in-car environment data, extract the influence characteristics of in-car temperature, humidity and air quality on the fragrance type and volatilization effect;

[0020] Based on the driver behavior data, extracting the driver's temperature and humidity adjustment records, fragrance selection preferences, and fragrance use frequency under different driving conditions;

[0021] Analyzing the driver's fragrance usage tendency under different physiological states based on the driver's physiological data;

[0022] The influencing features, the temperature and humidity adjustment records, the fragrance selection preferences, the fragrance use frequencies and the fragrance use tendencies are collected to generate the fragrance preference database.

[0023] In some embodiments, the identifying the current physiological state of the driver based on the current physiological data of the driver, and selecting the in-vehicle fragrance recommendation scheme matching the current physiological state from the fragrance preference database, includes:

[0024] Based on a combination of one or more physiological data of the driver's heart rate, blood pressure, sound, skin resistance and brain wave, obtaining the current physiological state of the driver, wherein the physiological state includes a stable state, a tense state and a fatigue state;

[0025] When the physiological state is the stable state, selecting a first type of fragrance recommendation scheme from the fragrance preference database;

[0026] When the physiological state is the stress state, selecting a second type of fragrance recommendation scheme from the fragrance preference database;

[0027] When the physiological state is the fatigue state, a third type of fragrance recommendation scheme is selected from the fragrance preference database.

[0028] In some embodiments, the releasing of the fragrance in the vehicle fragrance recommendation solution includes:

[0029] Using the vehicle-mounted fragrance release device, adjusting release parameters according to the fragrance recommendation scheme corresponding to the current physiological state of the driver, the release parameters including fragrance type, release concentration and release time;

[0030] The vehicle-mounted fragrance releasing device is controlled to release the vehicle-mounted fragrance according to the release parameters.

[0031] In some embodiments, the releasing of the fragrance in the vehicle fragrance recommendation scheme further comprises:

[0032] The fragrance types in the fragrance recommendation scheme include solid perfume, liquid perfume and spray fragrance;

[0033] When the fragrance type is a solid perfume, the release intensity is adjusted according to the volatility characteristics of the solid perfume to control the release of the solid perfume;

[0034] When the fragrance type is liquid perfume, adjusting the release concentration and release ratio according to the volatility characteristics of the liquid perfume to control the release of the liquid perfume;

[0035] When the fragrance type is a spray fragrance, the release duration and spray frequency are adjusted according to the volatility characteristics of the spray fragrance to control the release of the spray fragrance.

[0036] In a second aspect, an embodiment of the present application provides a vehicle-mounted fragrance recommendation system, comprising:

[0037] A data acquisition device for acquiring vehicle environment data, driver behavior data, and driver physiological data;

[0038] A data processing device, for analyzing the vehicle environment data, the driver behavior data and the driver physiological data, extracting features related to the driver's fragrance preference, so as to generate a fragrance preference database;

[0039] A fragrance scheme selection device, used to identify the current physiological state of the driver based on the current physiological data of the driver, and select a vehicle-mounted fragrance recommendation scheme matching the current physiological state from the fragrance preference database;

[0040] A control device is used to release the fragrance in the vehicle fragrance recommendation solution.

[0041] In a third aspect, an embodiment of the present application provides an in-vehicle device, comprising a processor and a memory, wherein the memory stores a computer program, and the processor is used to execute the computer program to implement the in-vehicle fragrance recommendation method of the first aspect.

[0042] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, and when the computer program is executed on a processor, the in-vehicle fragrance recommendation method of the first aspect is implemented.

[0043] The embodiments of the present application have the following beneficial effects:

[0044] The present application discloses a vehicle-mounted fragrance recommendation method, system, vehicle-mounted device and storage medium. By acquiring vehicle-mounted environmental data, driver behavior data and driver physiological data, multi-dimensional data fusion analysis is performed to extract features related to the driver's fragrance preference, generate a personalized fragrance preference database, and realize intelligent and precise fragrance recommendation functions. Based on the current driver's physiological data, the driver's physiological state (e.g., stable, tense or fatigued state) can be identified in real time, and the fragrance recommendation scheme adapted to the current physiological state can be matched from the fragrance preference database, and the fragrance release parameters (e.g., fragrance type, release concentration and duration) can be dynamically adjusted. By releasing the fragrance in the fragrance recommendation scheme, the in-car atmosphere can be automatically adjusted in different driving scenarios, relieving the driver's fatigue, stress or tension, and improving the driver's physical and mental comfort and concentration. In addition, the intelligent matching and dynamic adjustment mechanism of the present application optimizes the release effect of the fragrance, ensures the adaptability of the fragrance under different vehicle-mounted environmental conditions, and overall, the method of the present application effectively improves the intelligence level of the vehicle-mounted fragrance system, creates a pleasant, healthy and comfortable in-car environment for the driver, and significantly improves the driving experience and comfort. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0046] Figure 1 An application scenario diagram of a vehicle-mounted fragrance recommendation method according to an embodiment of the present application is shown;

[0047] Figure 2 A flow chart of a vehicle fragrance recommendation method according to an embodiment of the present application is shown;

[0048] Figure 3 A structural schematic diagram of a vehicle-mounted fragrance recommendation system according to an embodiment of the present application is shown. DETAILED DESCRIPTION

[0049] The technical solutions in the embodiments of the present application will be described clearly and completely below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments.

[0050] The components of the embodiments of the present application generally described and shown in the drawings herein may be arranged and designed in various configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the application claimed for protection, but merely represents the selected embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without making creative work belong to the scope of protection of the present application.

[0051] Hereinafter, the terms "including", "having" and their cognates that can be used in various embodiments of the present application are intended only to indicate specific features, numbers, steps, operations, elements, components or a combination of the foregoing items, and should not be understood as first excluding the existence of one or more other features, numbers, steps, operations, elements, components or a combination of the foregoing items or increasing the possibility of one or more features, numbers, steps, operations, elements, components or a combination of the foregoing items. In addition, the terms "first", "second", "third" and the like are only used to distinguish descriptions and cannot be understood as indicating or implying relative importance.

[0052] Unless otherwise defined, all terms (including technical terms and scientific terms) used herein have the same meanings as those generally understood by those skilled in the art to which the various embodiments of the present application belong. The terms (such as those defined in generally used dictionaries) will be interpreted as having the same meanings as the contextual meanings in the relevant technical field and will not be interpreted as having idealized meanings or overly formal meanings unless clearly defined in the various embodiments of the present application.

[0053] In conjunction with the accompanying drawings, some embodiments of the present application are described in detail below. In the absence of conflict, the following embodiments and features in the embodiments can be combined with each other.

[0054] Taking into account the problems of existing in-vehicle fragrance systems, such as lack of intelligent and personalized recommendations, failure to dynamically adjust according to the driver's physiological state, insufficient environmental adaptability, and lack of multi-dimensional data fusion and analysis, a method for in-vehicle fragrance recommendation is proposed. By acquiring the in-vehicle environmental data, driver behavior data and driver physiological data, the data are analyzed, and the features related to fragrance preference are extracted to generate a fragrance preference database. Based on the driver's physiological data, the driver's physiological state is identified in real time, and the in-vehicle fragrance recommendation scheme corresponding to the current physiological state is intelligently matched from the fragrance preference database. Finally, by executing the recommendation scheme, the fragrance is dynamically released to realize personalized in-vehicle atmosphere adjustment, which meets the driver's personalized and healthy needs, creates a pleasant and comfortable in-vehicle atmosphere for the driver, and improves the intelligence level of the car and the user's driving experience.

[0055] The vehicle-mounted fragrance recommendation method provided in the embodiment of the present application can be applied to Figure 1 In the application environment, specifically, the vehicle-mounted fragrance recommendation method of the present application is applied in a computer system, the system comprising: Figure 1 The client and server shown in the figure communicate with each other through the network. The client, also known as the user end, refers to the program corresponding to the server and providing local services to customers. The client can be installed on but not limited to various personal computers, laptops, smart phones, tablets, vehicle-mounted central control, vehicle-mounted terminal equipment and portable wearable devices. The server can be implemented as an independent server or a server cluster composed of multiple servers or on a high-performance computing module in the cloud or vehicle-mounted system.

[0056] That is, the client is used to collect vehicle environment data, driver behavior data and driver physiological data, and send the data to the server; after receiving the data, the server analyzes the vehicle environment data, driver behavior data and physiological data, extracts features related to the driver's fragrance preference, and generates and stores a fragrance preference database. Based on the current driver's physiological data, the server can identify the driver's current physiological state, select a fragrance recommendation scheme that matches the current physiological state from the fragrance preference database, and feed back the recommendation scheme to the client. According to the received fragrance recommendation scheme, the client releases the fragrance through the vehicle fragrance release device to achieve dynamic adjustment of the atmosphere in the car, so as to relieve the driver's fatigue, stress or tension, and improve the driving experience and comfort in the car.

[0057] Figure 2 A flow chart of a method for recommending in-vehicle fragrance according to an embodiment of the present application is shown. Exemplarily, the method for recommending in-vehicle fragrance includes the following steps:

[0058] Step S100, acquiring vehicle environment data, driver behavior data and driver physiological data.

[0059] Demonstratively, data related to the in-vehicle environment, driver operation behavior and physical condition are collected in real time through sensors and monitoring equipment in the vehicle system. Among them, the in-vehicle environment data includes in-vehicle environment information such as temperature, humidity and air quality; driver behavior data refers to the driver's operation record of the in-vehicle system, such as temperature adjustment, fragrance selection and other behaviors; driver physiological data is physical index information collected by physiological monitoring equipment, such as heart rate, blood pressure and skin resistance. The acquisition of these data lays the foundation for the in-vehicle system to analyze and provide personalized services.

[0060] In one embodiment, in step S100, obtaining vehicle environment data, driver behavior data, and driver physiological data includes:

[0061] Monitor the in-vehicle environment based on the on-board environmental sensor and obtain in-vehicle environment data.

[0062] Demonstratively, the environmental sensors installed in the car monitor the temperature, humidity, air quality and other parameters in the car in real time, and collect and record the data. These sensors can automatically sense changes in the car environment, such as temperature increase, humidity fluctuation or air quality decrease, and provide accurate environmental data, providing basic information for the analysis and adjustment of the vehicle system.

[0063] For example, the temperature inside the car is monitored in real time based on thermistor NTC technology, and the temperature data is uploaded to the vehicle control system, and the temperature data is stored in the server according to a predetermined period (for example, 3 days or 7 days). In detail, when the temperature inside the car lasts for more than 30 minutes, the temperature value and duration are recorded and stored. The data format includes date, temperature value and duration, for example: "2024 / 11 / 10, 24Deg, 120min".

[0064] The driver's behavior data is obtained based on the driver's behavior operations on the vehicle's central control system.

[0065] Exemplarily, the vehicle's central control system monitors and records the driver's operational behavior when interacting with the vehicle. These behavioral data include the driver's settings and adjustments to the in-vehicle functions, such as: Temperature adjustment operation: recording the driver's manual settings of the in-vehicle temperature under different driving environments, such as frequent heating or cooling preferences. Fragrance selection operation: monitoring the driver's operation records of selecting or switching specific fragrance types and adjusting fragrance concentrations. Air conditioning mode adjustment: recording the driver's setting habits for air conditioning air volume, wind direction, dehumidification, internal and external circulation modes and other functions. Manual preference adjustment: including the driver's active closing of fragrance release, modification of recommended solutions or manual selection of solutions.

[0066] These behavioral data are collected in real time through the interactive interface of the vehicle's central control system, and used as a basis for analyzing the driver's usage preferences and habits, and further used to optimize the fragrance recommendation plan and enhance the intelligence and personalization of the vehicle's fragrance system.

[0067] Based on physiological monitoring sensors, the driver's physiological data is monitored and acquired.

[0068] Exemplarily, physiological indicators reflecting the driver's physical state are collected in real time through physiological monitoring sensors installed in the car or integrated in the driving equipment. These sensors include but are not limited to: Heart rate sensor: used to monitor the driver's heart rate changes. Blood pressure sensor: used to detect the driver's blood pressure level. Skin resistance sensor: used to monitor the conductivity changes of the skin. Brain wave sensor: used to obtain the driver's brain activity data. Voice analysis module: used to analyze the driver's voice characteristics.

[0069] These physiological data are collected and transmitted in real time through physiological monitoring sensors, and serve as the basis for identifying the driver's current physiological state. They provide support for the in-vehicle fragrance system to recommend fragrance solutions that match the current state, helping to improve the driver's mood and driving experience.

[0070] Step S200 , analyzing the vehicle environment data, the driver behavior data and the driver physiological data, extracting features related to the driver's fragrance preference, and generating a fragrance preference database.

[0071] Exemplarily, by comprehensively processing and analyzing the acquired in-vehicle environment data, driver operation behavior data, and physiological state data, feature information related to the driver's fragrance usage preference is identified. These features include the driver's fragrance selection habits, operation preferences, and demand for fragrance types under different ambient temperature, humidity, and air quality conditions, as well as different physiological conditions. Through these analysis results, the system generates a fragrance preference database to provide data support for subsequent fragrance recommendation solutions.

[0072] In one embodiment, in step S200, the vehicle environment data, the driver behavior data and the driver physiological data are analyzed to extract features related to the driver's fragrance preference to generate a fragrance preference database, including:

[0073] Based on the in-car environment data, extract the impact characteristics of in-car temperature, humidity and air quality on fragrance type and volatilization effect.

[0074] Demonstratively, by analyzing parameters such as temperature, humidity, and air quality in the in-car environment data, we can determine how these environmental factors affect the volatility characteristics of different fragrance types. For example, under high temperature conditions, the volatility of solid perfumes is enhanced, while the smell of liquid perfumes may change due to the rapid evaporation of alcohol; when the humidity is high, the diffusion effect of spray fragrances may be suppressed. By extracting these influencing features, the system can better adjust the fragrance release scheme to adapt to the current in-car environment and improve the fragrance effect.

[0075] Based on the driver behavior data, the driver's temperature and humidity adjustment records, fragrance selection preferences and fragrance use frequency under different driving conditions are extracted.

[0076] Demonstratively, by analyzing the driver's operating behavior in different driving scenarios, the driver's usage habits and preference data on the vehicle's central control system are extracted. For example, the driver's adjustment behavior under specific temperature and humidity conditions, the type of fragrance selected, and the frequency and time of fragrance use are recorded. Through these data, the driver's personalized needs in different environments and states are identified, and their temperature, humidity preferences and fragrance usage characteristics are extracted, providing data support for the subsequent recommendation of suitable fragrance solutions and temperature and humidity parameters.

[0077] For example, based on the in-car comfort temperature range established by the automotive air-conditioning industry, the default temperature value (DT) is set to 21-25°C in summer and 25-28°C in winter; the temperature value (MT) manually set by the driver is obtained through the temperature sensor, and when the duration of the manually set temperature exceeds 30 minutes, it is recorded and accumulated as valid data. At the same time, the priority of temperature preference is determined to be MT>DT, that is, the manually set temperature takes precedence over the default temperature; based on the seasonal temperature and weather condition labels, based on the frequency analysis of temperature data, the temperature value that appears most frequently when the driver is driving is extracted and determined as the best recommended temperature, that is, the preference data.

[0078] Based on the driver's physiological data, the driver's fragrance usage tendency under different physiological states is analyzed.

[0079] Exemplarily, by analyzing the driver's physiological data (e.g., heart rate, blood pressure, skin resistance, etc.), the driver's physiological state, such as stable, nervous or fatigued state, is identified, and the driver's preference for fragrance type in these states is further determined. For example, in a nervous state, the driver may tend to choose a fragrance that has a calming effect; in a fatigued state, the driver may prefer a fragrance that has a refreshing effect. Through this analysis, the relationship between the driver's physiological state and the use of fragrance can be extracted, providing a basis for intelligently recommending fragrance solutions.

[0080] The influence characteristics, temperature and humidity adjustment records, fragrance selection preferences, fragrance use frequency and fragrance use tendency are collected to generate a fragrance preference database.

[0081] Demonstratively, the various data and features obtained from the analysis are integrated, including the impact characteristics of the in-car environment on the fragrance effect, the driver's temperature and humidity adjustment records under different driving conditions, the fragrance type selection preference, the frequency of fragrance use, and the fragrance use tendency under different physiological states. This information is aggregated and correlated to generate a fragrance preference database, which is used to store personalized data related to the driver's fragrance use habits and needs, and provide data support for the subsequent recommendation of the fragrance solution that best suits the current environment and driver status.

[0082] Step S300 , identifying the current physiological state of the driver based on the current physiological data of the driver, and selecting a vehicle-mounted fragrance recommendation scheme that matches the current physiological state from a fragrance preference database.

[0083] Exemplarily, by real-time monitoring of the driver's physiological data (e.g., heart rate, blood pressure, skin resistance, etc.), the driver's current physiological state, such as stable, tense or fatigued state, is analyzed and identified. Then, based on the generated fragrance preference database, fragrance recommendations that match the physiological state are screened out, for example, popular fragrances are recommended in stable state, fragrances that calm emotions are recommended in tense state, and fragrances that refresh the mind are recommended in fatigue state, ensuring that the fragrance selection is adapted to the driver's current physiological needs.

[0084] For example, when the vehicle system is equipped with a host central control screen, the driver can manually select a fragrance type from the fragrance preference database or turn off the fragrance function through the central control screen. When the vehicle is not equipped with a host central control screen, the fragrance recommendation system identifies the driver's current physiological state based on the current driver's physiological data, and selects a vehicle fragrance recommendation solution that matches the current physiological state from the fragrance preference database.

[0085] Furthermore, the big data model can be combined with the vehicle type and user data from the owner forum to intelligently recommend the best combination of temperature and fragrance to improve the driving experience and ride comfort. For example, the system collects discussion data on the combination of in-car temperature and fragrance from the forums of car owners of different models on the Internet, statistically analyzes the current popular and popular in-car fragrance solutions, and displays the recommended results on the in-car central control screen, such as "Fragrance A" and "Fragrance B". Drivers can choose the fragrance type that suits their personal preferences and popular trends based on the recommendations, thereby creating an ideal in-car atmosphere in a suitable temperature environment, significantly improving the overall driving experience and ride comfort.

[0086] In one embodiment, in step S300, the current physiological state of the driver is identified based on the current physiological data of the driver, and a vehicle fragrance recommendation scheme matching the current physiological state is selected from the fragrance preference database, including:

[0087] Based on a combination of one or more physiological data of the driver's heart rate, blood pressure, sound, skin resistance and brain waves, the current physiological state of the driver is obtained, and the physiological state includes a stable state, a tense state and a fatigue state.

[0088] Exemplarily, the physiological monitoring equipment in the car collects various physiological data of the driver in real time, including heart rate changes, blood pressure levels, voice characteristics (e.g., tone and frequency), skin resistance (reflecting stress status) and brain wave activity. For example:

[0089] Heart rate range: Normal mood: heart rate is 60-100 beats / minute; nervous or anxious mood: heart rate is greater than 100 beats / minute; fatigue state: heart rate is less than 60 beats / minute.

[0090] Blood pressure value range: Normal mood: systolic blood pressure is about 120mmHg, diastolic blood pressure is about 80mmHg; excited mood: systolic blood pressure is greater than 140mmHg, diastolic blood pressure is greater than 90mmHg.

[0091] Sound range: Normal mood: 40-60 decibels, excitement or excitement: greater than 60 decibels, frustration or depression: less than 40 decibels.

[0092] Based on the above physiological data, one or more combinations of these data can be used for analysis to identify the driver's current physiological state in real time and classify it into the following three states:

[0093] Stable state: The physiological data is stable, which means the driver is in a normal state of relaxation or concentration;

[0094] Stress: increased heart rate, changes in skin resistance or rapid speech indicate that the driver is under stress or emotional tension;

[0095] Fatigue state: A decrease in heart rate, brain waves showing fatigue characteristics, or voice characteristics becoming sluggish indicate that the driver is fatigued or has decreased concentration.

[0096] Through real-time combined analysis of this physiological data, the system can accurately identify the driver's current physiological state and provide support for subsequent personalized services or adjustments.

[0097] It is worth noting that this embodiment also provides a non-contact heart rate measurement method based on computer vision technology, which collects the driver's facial changes through the on-board camera and calculates the heart rate value in real time. The basic principle of non-contact heart rate measurement is as follows:

[0098] Principle of optical path change: The heart beat causes subcutaneous blood flow, resulting in pulsating changes in blood vessel volume rate, and the optical path of the incident light changes accordingly.

[0099] Light absorption characteristics: Blood has different absorption rates for light beams in different wavelengths, resulting in slight changes in the color and shape of the surface skin.

[0100] Video signal processing: The camera receives reflected light to form a color video image. The brightness changes of the red, green, and blue (RGB) channels in each frame of the image contain pulsation information. In particular, the green channel can most effectively reflect the time changes and cycles of heart beats in cardiovascular activities, thereby extracting heart rate information.

[0101] The specific implementation steps are as follows:

[0102] Collect driver's facial video data in real time through the vehicle-mounted camera;

[0103] Extract the region of interest (e.g., face) and perform frame processing;

[0104] Separate each frame of image into three primary color channels: red, green, and blue;

[0105] Take the average of each primary color component to generate the original digital signal;

[0106] Perform blind source separation to generate independent source signals;

[0107] Filter valid signals and remove noise and irrelevant information;

[0108] Processing the filtered signal (e.g., filtering);

[0109] Extract the periodic characteristics of the signal using spectrum analysis;

[0110] The driver's real-time heart rate data is calculated.

[0111] Through non-contact heart rate measurement, without relying on traditional physiological monitoring equipment, the driver's physiological data (such as heart rate) can be accurately collected, and their physiological state (such as stable, tense or tired) can be judged in real time, providing data support for personalized services such as fragrance recommendations and driving safety tips.

[0112] When the physiological state is a stable state, the first type of fragrance recommendation scheme is selected from the fragrance preference database.

[0113] Exemplarily, when it is identified that the driver's current physiological state is in a stable state (i.e., the physical indicators are normal and the emotions are stable), a first type of fragrance recommendation scheme suitable for this state is selected from the fragrance preference database. This type of fragrance recommendation scheme may include currently popular fragrance types or fragrances with relaxing and pleasant effects, so as to maintain the driver's good state and enhance the comfort and experience in the car.

[0114] When the physiological state is a tense state, a second type of fragrance recommendation scheme is selected from the fragrance preference database.

[0115] Exemplarily, when it is identified that the driver's current physiological state is in a state of tension or excitement (for example, changes in physiological indicators such as increased heart rate and blood pressure), a second type of fragrance recommendation solution suitable for relieving tension is selected from the fragrance preference database. This type of solution usually includes fragrance types with calming and soothing effects, aiming to help the driver calm down, reduce tension, and improve driving comfort and safety.

[0116] When the physiological state is a fatigue state, a third type of fragrance recommendation scheme is selected from the fragrance preference database.

[0117] Exemplarily, when it is identified that the driver's current physiological state is in a fatigue state (for example, a reduced heart rate, slow reaction, or brain waves showing fatigue characteristics), a third type of fragrance recommendation suitable for relieving fatigue and refreshing the mind is screened from the fragrance preference database. This type of fragrance usually has the effect of invigorating the spirit and enhancing attention, aiming to help the driver relieve fatigue, improve alertness, and ensure driving safety and comfort.

[0118] Step S400: releasing the fragrance in the vehicle fragrance recommendation solution.

[0119] Demonstratively, different types of fragrances in the in-vehicle fragrance recommendation scheme will be installed in the vehicle in advance, and the selected fragrances will be released into the vehicle interior according to the set type, release concentration and duration through controllable switching devices and in-vehicle fragrance release devices. The purpose is to create a comfortable in-vehicle atmosphere and improve the driving experience according to the driver's current state or preference. For example, the driver's personalized needs can be met through the soothing, refreshing or pleasant effects of the fragrance.

[0120] In one embodiment, in step S400, releasing the fragrance in the vehicle fragrance recommendation solution includes:

[0121] By using the vehicle-mounted fragrance release device, the release parameters are adjusted according to the fragrance recommendation scheme corresponding to the current physiological state of the driver, and the release parameters include fragrance type, release concentration and release time; the vehicle-mounted fragrance release device is controlled to release the vehicle-mounted fragrance according to the release parameters.

[0122] Exemplarily, according to the driver's current physiological state (e.g., stable, nervous, or tired), the appropriate fragrance type is determined from the fragrance recommendation scheme, and the specific parameters of fragrance release are dynamically adjusted, including selecting the type of fragrance, setting the concentration of release, and controlling the duration of fragrance release. Subsequently, these parameters are accurately executed through the vehicle-mounted fragrance release device, and the fragrance installed in the vehicle in advance is released into the vehicle environment, thereby creating an in-vehicle atmosphere that matches the driver's current state and improving driving comfort and experience.

[0123] In an optional implementation, in step S400, releasing the fragrance in the vehicle fragrance recommendation solution further includes:

[0124] The fragrance types in the fragrance recommendation program include solid perfumes, liquid perfumes and spray fragrances.

[0125] For example, solid perfumes are usually in solid form and release fragrance by slowly volatilizing, which is suitable for stable and long-lasting scenarios. Liquid perfumes are in liquid form and release fragrance by volatilization or spraying. The fragrance is strong and easy to diffuse, but it is easy to evaporate faster under high temperature conditions. Spray fragrances release fragrance quickly in the form of aerosols and can be evenly diffused in a short time. They are suitable for instantly adjusting the freshness and atmosphere of the air in the car.

[0126] These fragrance types can be selected and matched according to the in-vehicle environmental conditions, the driver's physiological state and fragrance preferences, thereby achieving personalized fragrance recommendations.

[0127] When the fragrance type is a solid perfume, the release intensity is adjusted according to the volatility characteristics of the solid perfume to control the release of the solid perfume.

[0128] Exemplarily, when solid perfume is selected as the fragrance type, the intensity of fragrance release is dynamically adjusted according to the volatility characteristics of the solid perfume at different temperatures to ensure the best fragrance effect. For example, in a high temperature environment, since the solid perfume evaporates faster and the fragrance is stronger, the release intensity can be appropriately reduced; in a low temperature environment, the solid perfume evaporates more slowly and the fragrance is not obvious, so the release intensity can be appropriately increased to achieve uniform and stable diffusion of the fragrance. In addition, the system will record the usage data of the solid perfume, including the fragrance name, temperature (Temperature) and duration (Time), such as "Perfume A, temperature Tem1, duration Time1" or "Perfume B, temperature Tem2, duration Time2", for subsequent analysis and recommendation.

[0129] When the fragrance type is liquid perfume, the release concentration and release ratio are adjusted according to the volatility characteristics of the liquid perfume to control the release of the liquid perfume.

[0130] Exemplarily, when liquid perfume is selected as the fragrance type, the release concentration and release ratio are dynamically adjusted according to the volatility characteristics of the liquid perfume under different environmental conditions to ensure that the fragrance effect of the perfume is stable and uniform. For example, in a high temperature environment, temperature and humidity will accelerate the volatilization of alcohol and fragrance components, which may easily cause the fragrance of the perfume to dissipate quickly or change the odor characteristics. At this time, the release concentration and release amount will be appropriately reduced; in a low temperature environment, the liquid perfume evaporates slowly. At this time, the release concentration and release ratio will be increased to ensure that the fragrance of the perfume spreads normally. In addition, the system will record the usage data of the liquid perfume, including the fragrance name, temperature (Temperature) and duration (Time), such as "Perfume A, temperature Tem1, duration Time1" or "Perfume B, temperature Tem2, duration Time2", for subsequent analysis and recommendation.

[0131] When the fragrance type is a spray fragrance, the release duration and spray frequency are adjusted according to the volatility characteristics of the spray fragrance to control the release of the spray fragrance.

[0132] Exemplarily, when spray fragrance is selected as the fragrance type, the release time length and spray frequency are dynamically adjusted according to the characteristics of rapid diffusion and volatilization of the spray fragrance to ensure that the fragrance effect is ideal and evenly distributed. In a low temperature environment, due to the slow volatilization rate of the spray, the system will appropriately shorten the release time and reduce the spray frequency to avoid excessive accumulation of fragrance; in the case of poor air flow or the need to quickly diffuse the fragrance, the system will increase the release frequency and duration of the spray to enhance the diffusion effect of the fragrance. In addition, the system will record the usage data of the spray fragrance, including the fragrance name, temperature (Temperature) and duration (Time), such as "Spray A, temperature Tem1, duration Time1" or "Spray B, temperature Tem2, duration Time2", to provide data support for subsequent fragrance recommendations.

[0133] In an optional embodiment, the vehicle fragrance recommendation method further includes:

[0134] The fragrance preference database is updated based on the driver's feedback information; the feedback information includes the driver's subjective evaluation of the fragrance use and the manual adjustment record.

[0135] Demonstratively, by collecting feedback from drivers during the use of fragrances, the fragrance preference database is dynamically adjusted and optimized. Among them, subjective evaluation refers to the driver's personal feelings about the current fragrance type, concentration or effect, such as satisfaction, dissatisfaction or specific requirements; manual adjustment records refer to the driver's active modification of the type, concentration or duration of fragrance release through the vehicle's central control system. These feedback information is analyzed and processed by the system and used to update the fragrance preference database to ensure that the subsequent recommended fragrance solutions are more in line with the driver's personalized needs and usage habits.

[0136] When changes in the driver's physiological data are detected, the current physiological state of the driver is obtained, and a new in-vehicle fragrance recommendation scheme is dynamically generated based on the updated fragrance preference database.

[0137] Exemplarily, when the physiological data of the driver (e.g., heart rate, blood pressure, skin resistance, etc.) are detected to change through the physiological monitoring sensor, the current physiological state of the driver is analyzed, such as stable, tense or fatigued. Subsequently, the system uses the updated fragrance preference database to generate a car fragrance recommendation that matches the current physiological state based on the driver's latest state and preference characteristics. This recommendation will dynamically adjust the fragrance type, release concentration and duration to meet the driver's real-time changing physiological needs and optimize the driving experience.

[0138] The in-vehicle fragrance recommendation method of the embodiment of the present application, first of all, realizes the intelligence and personalization of fragrance recommendation. The system can dynamically match the fragrance type suitable for the current state based on the driver's real-time physiological state (for example, stable, tense or tired) and the in-vehicle environmental data, and accurately meet the driver's personalized needs. Secondly, the system can effectively alleviate the driver's bad state. For example, when it is detected that the driver is in a state of fatigue, a refreshing fragrance is released; under a tense or stressful state, a fragrance with a calming and soothing effect is released to help improve the emotional state, enhance the driver's attention, and reduce the fatigue and safety hazards caused by long-term driving. In addition, the system can dynamically adjust the release parameters of the fragrance (for example, concentration, intensity and duration) in combination with the in-vehicle environmental parameters (for example, temperature and humidity), optimize the volatilization effect of the fragrance, and ensure the stability and uniform diffusion of the fragrance under different environmental conditions. By continuously collecting driver behavior data and fragrance usage preferences, the system can dynamically update the fragrance preference database, continuously optimize the recommendation scheme, make it more accurate, and improve the user experience. In summary, the method of the present application effectively improves the driver's comfort and driving experience, creates a healthy, pleasant and intelligent in-car environment, and ensures safety during driving.

[0139] This application also proposes a car fragrance recommendation system, such as Figure 3 As shown, the in-vehicle fragrance recommendation system includes:

[0140] A data acquisition device 31, used to acquire vehicle environment data, driver behavior data and driver physiological data;

[0141] A data processing device 32, for analyzing the vehicle environment data, the driver behavior data and the driver physiological data, extracting features related to the driver's fragrance preference, so as to generate a fragrance preference database;

[0142] A fragrance scheme selection device 33, for identifying the current physiological state of the driver based on the current physiological data of the driver, and selecting a vehicle-mounted fragrance recommendation scheme matching the current physiological state from the fragrance preference database;

[0143] The control device 34 is used to release the fragrance in the vehicle-mounted fragrance recommendation solution.

[0144] It can be understood that the device of this embodiment corresponds to the method of the above embodiment, and the options in the above embodiment are also applicable to this embodiment, so they will not be described repeatedly here.

[0145] The present application also provides a vehicle-mounted device. Exemplarily, the vehicle-mounted device includes a processor and a memory, wherein the memory stores a computer program, and the processor runs the computer program to enable the device to execute the functions of each module in the above-mentioned vehicle-mounted fragrance recommendation method or the above-mentioned vehicle-mounted fragrance recommendation system.

[0146] Among them, the processor can be an integrated circuit chip with signal processing capabilities. The processor can be a general-purpose processor, including a central processing unit (CPU), a graphics processing unit (GPU) and a network processor (NP), a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field programmable gate array (FPGA) or at least one of other programmable logic devices, discrete gates or transistor logic devices, and discrete hardware components. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor, etc., which can implement or execute the disclosed methods, steps and logic block diagrams in the embodiments of the present application.

[0147] The memory may be, but is not limited to, a random access memory (RAM), a read only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), etc. The memory is used to store a computer program, and the processor may execute the computer program accordingly after receiving an execution instruction.

[0148] The present application also provides a computer-readable storage medium for storing the computer program used in the above-mentioned terminal device. For example, the computer-readable storage medium may include, but is not limited to, various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0149] In several embodiments provided in the present application, it should be understood that the disclosed system and method can also be implemented in other ways. The device embodiments described above are merely schematic. For example, the flowcharts and structure diagrams in the accompanying drawings show the possible architecture, functions and operations of the devices, methods and computer program products according to multiple embodiments of the present application. In this regard, each box in the flowchart or block diagram can represent a module, a program segment or a part of a code, and the module, a program segment or a part of a code contains one or more executable instructions for implementing the specified logical function. It should also be noted that in an alternative implementation, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two consecutive boxes can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the structure diagram and / or the flow diagram, and the combination of boxes in the structure diagram and / or the flow diagram, can be implemented with a dedicated hardware-based system that performs a specified function or action, or can be implemented with a combination of dedicated hardware and computer instructions.

[0150] In addition, the functional modules or units in the various embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.

[0151] If the functions are implemented in the form of software function modules and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for enabling an on-board device (which can be a smart phone, a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in the various embodiments of the present application.

[0152] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be covered by the protection scope of the present application.

Claims

1. A method for recommending in-vehicle fragrance, characterized in that: The method comprises: Acquire vehicle environment data, driver behavior data, and driver physiological data; Analyzing the vehicle environment data, the driver behavior data, and the driver physiological data, extracting features related to the driver's fragrance preference, so as to generate a fragrance preference database; Identifying the current physiological state of the driver based on the current physiological data of the driver, and selecting a vehicle-mounted fragrance recommendation scheme matching the current physiological state from the fragrance preference database; Release the fragrance in the recommended car fragrance solution.

2. The in-vehicle fragrance recommendation method according to claim 1, characterized in that: The method further comprises: updating the fragrance preference database according to the driver's feedback information, wherein the feedback information includes the driver's subjective evaluation of fragrance use and manual adjustment records; When changes in the driver's physiological data are monitored, the current physiological state of the driver is acquired, and a new vehicle-mounted fragrance recommendation scheme is dynamically generated based on the updated fragrance preference database.

3. The vehicle fragrance recommendation method according to claim 1, characterized in that: The obtaining of vehicle environment data, driver behavior data and driver physiological data includes: Monitor the in-vehicle environment based on the on-board environmental sensor and obtain in-vehicle environment data; Acquiring the driver's behavior data according to the driver's behavior operations on the vehicle-mounted central control system; Based on the physiological monitoring sensor, the physiological data of the driver is monitored and acquired.

4. The vehicle fragrance recommendation method according to claim 1, characterized in that: The analyzing the vehicle environment data, the driver behavior data and the driver physiological data to extract features related to the driver's fragrance preference to generate a fragrance preference database includes: Based on the in-car environment data, extract the influence characteristics of in-car temperature, humidity and air quality on the fragrance type and volatilization effect; Based on the driver behavior data, extracting the driver's temperature and humidity adjustment records, fragrance selection preferences, and fragrance use frequency under different driving conditions; Analyzing the driver's fragrance usage tendency under different physiological states based on the driver's physiological data; The influencing features, the temperature and humidity adjustment records, the fragrance selection preferences, the fragrance use frequencies and the fragrance use tendencies are collected to generate the fragrance preference database.

5. The vehicle fragrance recommendation method according to claim 1, characterized in that: The identifying the current physiological state of the driver based on the current physiological data of the driver, and selecting a vehicle-mounted fragrance recommendation scheme matching the current physiological state from the fragrance preference database, comprises: Based on a combination of one or more physiological data of the driver's heart rate, blood pressure, sound, skin resistance and brain wave, obtaining the current physiological state of the driver, wherein the physiological state includes a stable state, a tense state and a fatigue state; When the physiological state is the stable state, selecting a first type of fragrance recommendation scheme from the fragrance preference database; When the physiological state is the stress state, selecting a second type of fragrance recommendation scheme from the fragrance preference database; When the physiological state is the fatigue state, a third type of fragrance recommendation scheme is selected from the fragrance preference database.

6. The in-vehicle fragrance recommendation method according to claim 1, characterized in that: The releasing of the fragrance in the vehicle fragrance recommendation scheme comprises: Using the vehicle-mounted fragrance release device, adjusting release parameters according to the fragrance recommendation scheme corresponding to the current physiological state of the driver, the release parameters including fragrance type, release concentration and release time; The vehicle-mounted fragrance releasing device is controlled to release the vehicle-mounted fragrance according to the release parameters.

7. The vehicle fragrance recommendation method according to claim 1, characterized in that: The step of releasing the fragrance in the vehicle fragrance recommendation solution further includes: The fragrance types in the fragrance recommendation scheme include solid perfume, liquid perfume and spray fragrance; When the fragrance type is a solid perfume, the release intensity is adjusted according to the volatility characteristics of the solid perfume to control the release of the solid perfume; When the fragrance type is liquid perfume, adjusting the release concentration and release ratio according to the volatility characteristics of the liquid perfume to control the release of the liquid perfume; When the fragrance type is a spray fragrance, the release duration and spray frequency are adjusted according to the volatility characteristics of the spray fragrance to control the release of the spray fragrance.

8. A car fragrance recommendation system, characterized in that: The system comprises: A data acquisition device for acquiring vehicle environment data, driver behavior data, and driver physiological data; A data processing device, for analyzing the vehicle environment data, the driver behavior data and the driver physiological data, extracting features related to the driver's fragrance preference, so as to generate a fragrance preference database; A fragrance scheme selection device, used to identify the current physiological state of the driver based on the current physiological data of the driver, and select a vehicle-mounted fragrance recommendation scheme matching the current physiological state from the fragrance preference database; A control device is used to release the fragrance in the vehicle fragrance recommendation solution.

9. A vehicle-mounted device, characterized in that: The in-vehicle device comprises a processor and a memory, the memory stores a computer program, and the processor is used to execute the computer program to implement the in-vehicle fragrance recommendation method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The device stores a computer program, which, when executed on a processor, implements the vehicle-mounted fragrance recommendation method according to any one of claims 1 to 7.

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