Vehicle-mounted odor adjusting system

Abstract

The invention provides a vehicle-mounted odor adjusting system. The vehicle-mounted odor adjusting system comprises a high-precision gas sensor module, an odor recognition module, an algorithm adjusting module and an integrated interaction module. The high-precision gas sensor detects the type and intensity of gas in a vehicle in real time, and the smell recognition module receives data and compares the data with a smell database. The algorithm adjusting module constructs a model according to the comparison result, generates an adjusting strategy and sends a control instruction to the integrated interaction module. The integrated interaction module interacts with the in-vehicle fresh air cleaning module and the voice adjusting module. According to the system, gas in the vehicle can be accurately detected, accurate mastering of the smell can be ensured, through database comparison and an intelligent algorithm, a personalized adjusting strategy can be rapidly formulated, interaction with other modules can be achieved, for example, a fresh air cleaning module improves the air quality, a voice adjusting module improves operation convenience, and the user experience is greatly improved; and a comfortable in-vehicle environment is created for a driver and passengers.

Description

Technical Field

[0001] The invention belongs to the field of automobile technology application, and in particular relates to a vehicle-mounted odor adjustment system. Background Art

[0002] Although the car air conditioning system can improve the in-car environment to a certain extent, it does have the limitation of not being able to provide precise odor adjustment function. The car air conditioning system mainly improves the air quality by filtering and circulating the air in the car. Its filter can usually remove impurities such as dust, pollen, and particulate matter in the air to ensure that the air entering the car is relatively clean. At the same time, through the circulation function, the air circulation in the car can be maintained to avoid the accumulation of dirty air. However, this system seems to be powerless in terms of odor adjustment. The car air conditioning system also has difficulty in accurately controlling the intensity of the odor in the car. Even if it can reduce the odor to a certain extent, the intensity adjustment of the odor is very limited. If there is a strong odor in the car, such as the smell of food residue or the smell of chemicals, the air conditioning system may take a long time to reduce it to an acceptable level, and it cannot adjust the odor intensity in real time according to the user's feelings. For some users who are more sensitive to odors, even a slight odor may cause discomfort, and at this time they need more sophisticated odor adjustment methods to meet their needs.

[0003] Although the car air conditioning system plays an important role in improving the air quality in the car, it does not fully meet the needs of users who need more delicate odor adjustment. Future car designs can consider more integrated odor adjustment systems, combined with advanced sensor technology and intelligent algorithms, to provide users with more personalized and precise odor adjustment functions to enhance the driving experience. Summary of the invention

[0004] In order to overcome the deficiencies of the prior art, the present invention provides a vehicle-mounted odor adjustment system to solve the problem of low intelligence of vehicle-mounted odor adjustment in the prior art.

[0005] The present invention provides an embodiment, a vehicle-mounted odor adjustment system, comprising: a high-precision gas sensor module, used to detect the type and intensity of gases in the air in the vehicle in real time; an odor recognition module, receiving data from the high-precision odor sensor module, creating an odor database, and comparing the real-time odor data with the preset odor data in the odor database; an algorithm adjustment module, receiving the odor data comparison result, building a comparison model, and sending control instructions to an integrated interaction module according to the adjustment strategy generated by the model; and an integrated interaction module, receiving the control instructions and interacting with the in-vehicle fresh air cleaning module and the voice adjustment module.

[0006] In one of the embodiments, the odor recognition module also includes: analyzing and classifying the collected odor data through a preset classification algorithm based on the module's built-in odor database to determine the intensity level of the odor; based on the classification results, the system matches the corresponding odor adjustment device, and the on-board personnel adjust the automatic classification results through the interactive interface in the car.

[0007] Furthermore, the high-precision odor sensor module includes a variety of high-precision odor sensors, such as odor sprayers, odor filters, etc., which are connected to the vehicle system and the cloud server to monitor and adjust the odor in the car in real time. It runs continuously and detects various gas components in the air in the car in real time. The detected gas type information and the corresponding intensity data are transmitted to the odor recognition module.

[0008] In one of the embodiments, the algorithm adjustment module further includes: constructing a first comparison model, a second comparison model and a third comparison model for processing multi-category odor source data.

[0009] Furthermore, the smell can be classified according to its source, type and intensity, etc. Classification by source: The smell can come from the inside or outside of the car, such as the car seat, floor, air conditioning system, and exhaust outside the car. Classification by type: The smell can be divided into various different types of smells, such as floral, fruity, fresh, woody, herbal, marine, and spice. Classification by intensity: The smell can be divided into different intensity levels, such as soft, medium, strong, and super strong.

[0010] In one embodiment, it includes: a first comparison model construction process: data collection and analysis, collecting sample data of a single odor source, including different types of single odors and corresponding intensity ranges; determining characteristic parameters of each odor; formulating corresponding odor adjustment strategies; and constructing a first adjustment strategy library based on the above odor adjustment strategy data.

[0011] In one of the embodiments, the process includes: building a second comparison model: complex odor data collection: collecting sample data of multiple odor source mixtures in a vehicle, and converting them into multiple odor mixture characteristic parameters; recording multiple odor source data at different mixing ratios, and analyzing the interaction relationship between odor sources within the multiple odor sources according to an algorithm; designing a combination of adjustment strategies for the mixture of multiple odor sources, and building a second adjustment strategy library based on the adjustment strategy combination data.

[0012] In one of the embodiments, the third comparison model construction process includes: collecting sample data of special odor sources, recording characteristic data of special odor sources, and establishing a special odor database; conducting risk assessment on special odors to determine their potential impact on human health and vehicle safety; formulating emergency treatment strategies based on risk assessment results, and building a third adjustment strategy library. The strategy results are used to notify vehicle personnel through voice to take emergency measures.

[0013] In one of the embodiments, a vehicle occupant issues a voice command, and a voice adjustment module converts the voice signal into a text command; the voice adjustment module transmits the text command to an integration and interaction module, which parses the command to determine the specific needs of the user; based on the parsed command, the integration and interaction module sends a corresponding control signal to the odor adjustment device or the in-vehicle fresh air cleaning module.

[0014] In one of the embodiments, the in-vehicle fresh air cleaning module includes an air quality sensor for monitoring the in-vehicle air quality; after the in-vehicle fresh air cleaning module starts the purification function, it outputs a cleaning signal to the integration and interaction module; after receiving the signal, the integration and interaction module detects the air quality in real time and adjusts the working mode of the odor control device.

[0015] In one embodiment, the integrated interaction module converts the interaction operation data into a signal and feeds it back to the algorithm adjustment module.

[0016] The present invention further provides an embodiment, comprising a computer storage medium on which a computer program is stored, wherein the computer program implements the system according to any one of claims 1 to 9 when executed by a processor.

[0017] The vehicle-mounted odor adjustment system provided by the above embodiment has the following beneficial effects:

[0018] Accurate detection of in-car gas is the basis for achieving high-quality odor regulation. High-precision gas sensors can capture subtle changes in various gases in the air in the car in real time, and can accurately detect the type and intensity of common odors or specific chemicals. This ensures accurate grasp of the odor and provides reliable data support for subsequent processing. For example, when the smell of food residue is detected in the car, the system can quickly determine its specific composition and intensity so that targeted measures can be taken.

[0019] Through database comparison and intelligent algorithms, the system can quickly formulate personalized adjustment strategies. The odor recognition module compares the real-time odor data with the preset data in the odor database, and combines the intelligent analysis of the algorithm adjustment module to generate the most suitable adjustment plan according to different odor conditions and user needs and preferences. If the user is allergic to a certain odor, the system can automatically adjust the odor adjustment device to remove the odor first. Or according to the user's preferences, a pleasant odor is released in a specific scene, such as releasing a refreshing mint smell to refresh the mind during long-distance driving. The interaction with other modules greatly enhances the user experience. The combination with the fresh air cleaning module can further improve the air quality while adjusting the odor. The fresh air cleaning module can effectively remove harmful substances such as dust and bacteria in the air, and work with the odor adjustment device to create a fresh and comfortable in-car environment for the driver and passengers. The interaction with the voice adjustment module increases the convenience of operation. Users can easily control the odor adjustment system through voice commands without manual operation, which greatly improves the safety and comfort of driving.

[0020] This solution provides a highly comfortable and personalized in-car environment for drivers and passengers by accurately detecting in-car gases, intelligently formulating personalized adjustment strategies, and interacting with other modules. It not only meets the user's refined needs for odor adjustment, but also improves the entire driving experience, and is an important direction for future optimization of automotive interior environments. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the structures shown in these drawings without paying creative work.

[0022] Figure 1 A block diagram of a vehicle odor adjustment system provided by the first embodiment of the present invention;

[0023] Figure 2 A working flow chart of a vehicle-mounted odor adjustment system provided in the first embodiment of the present invention. DETAILED DESCRIPTION

[0024] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0025] It should be noted that if the embodiments of the present invention involve directional indications (such as up, down, left, right, front, back, etc.), the directional indications are only used to explain the relative position relationship, movement status, etc. between the components in a certain specific posture. If the specific posture changes, the directional indication will also change accordingly.

[0026] In addition, if there are descriptions involving "first", "second", etc. in the embodiments of the present invention, the descriptions of "first", "second", etc. are only used for descriptive purposes and cannot be understood as indicating or implying their relative importance or implicitly indicating the number of technical features indicated. Therefore, the features limited to "first" and "second" may explicitly or implicitly include at least one of the features. In addition, if "and / or" or "and / or" appears in the full text, its meaning includes three parallel solutions. Taking "A and / or B" as an example, it includes solution A, solution B, or solutions that satisfy both A and B. In addition, the technical solutions between the various embodiments can be combined with each other, but it must be based on the ability of ordinary technicians in this field to implement. When the combination of technical solutions is contradictory or cannot be implemented, it should be deemed that such combination of technical solutions does not exist and is not within the scope of protection required by the present invention.

[0027] Although the car air conditioning system can help the driver and passengers adjust the air quality in the car, it cannot provide precise odor adjustment. The car air conditioning system can usually only filter and circulate the air in the car, but cannot adjust the type and intensity of the odor in the car. Therefore, for users who need more detailed odor adjustment, the car air conditioning system may not fully meet their needs.

[0028] Example 1

[0029] The present invention provides an embodiment, a vehicle-mounted odor adjustment system, which is used to solve the problems of the above-mentioned prior art. The vehicle-mounted odor adjustment system includes: a high-precision gas sensor module, which is used to detect the type and intensity of gases in the air in the vehicle in real time; an odor recognition module, which receives data from the high-precision odor sensor module, creates an odor database, and compares the real-time odor data with the preset odor data in the odor database; an algorithm adjustment module, which receives the odor data comparison result, constructs a comparison model, and sends control instructions to an integrated interaction module according to the adjustment strategy generated by the model; the integrated interaction module receives the control instructions and interacts with the in-vehicle fresh air cleaning module and the voice adjustment module.

[0030] Odor conditioning is a technology that uses odor sensors and regulators to adjust the intensity and type of odors in the car. By using odor sensors, the vehicle system can detect the type and intensity of odors in the air in the car in real time, and automatically or manually adjust the odor conditioning equipment according to the preferences and needs of the driver and passengers to improve the air quality in the car and improve riding comfort.

[0031] In some embodiments, the odor adjustment device includes an odor filter, an odor sprayer, and a fresh air cleaning module. The odor filter can filter out pollutants and odors in the car by using a high-efficiency filter to improve the air quality in the car. The odor sprayer can add a specific odor type and intensity by spraying odorants into the car to improve the atmosphere and riding experience in the car.

[0032] The fresh air cleaning module can maintain air circulation in the car and adjust the air humidity and temperature through the reasonable design of air circulation, thereby improving riding comfort and health levels.

[0033] The odor recognition module also includes: analyzing and classifying the collected odor data through a preset classification algorithm based on the module's built-in odor database to determine the intensity level of the odor; based on the classification results, the system matches the corresponding odor adjustment equipment, and the on-board personnel adjust the automatic classification results through the interactive interface in the car.

[0034] In some embodiments, the classification algorithm may be a decision tree algorithm. In the odor database, a large amount of labeled odor sample data is first collected. These data contain various characteristics of the odor, such as chemical composition, intensity, source, etc. Then use these data to train the decision tree model. When new odor data is passed in, the model starts from the root node and makes layer-by-layer judgments according to the characteristics of the odor, and finally classifies the odor into the appropriate category. For example, when a new odor is detected, the model will first determine whether it contains certain specific chemical components, and then continue to judge along the branches of the tree according to the judgment results until it is determined which category the odor belongs to, such as food odor, floral fragrance, leather smell, etc. Further, the odor can be classified according to its source, type and intensity. Classification by source: The odor can come from the car or the outside environment, such as the car seat, floor, air conditioning system, and exhaust outside the car. Classification by type: The odor can be divided into various odor types, such as floral, fruity, fresh, woody, herbal, marine, and spice. Classification by intensity: The odor can be divided into different intensity levels, such as soft, moderate, strong, and super strong.

[0035] The high-precision odor sensor module includes a variety of high-precision odor sensors, such as odor sprayers, odor filters, etc., which are connected to the vehicle system and cloud servers to monitor and adjust the odor in the car in real time. It runs continuously and detects various gas components in the air in the car in real time. The detected gas type information and corresponding intensity data are transmitted to the odor recognition module.

[0036] In one of the embodiments, the algorithm adjustment module further includes: constructing a first comparison model, a second comparison model and a third comparison model for processing different categories of odor source data.

[0037] The first comparison model construction process: data collection and analysis, collecting sample data of a single odor source, including different types of single odors and corresponding intensity ranges; determining the characteristic parameters of each odor; formulating corresponding odor adjustment strategies; and constructing the first adjustment strategy library based on the above odor adjustment strategy data.

[0038] To collect sample data from a single odor source, first select the odor type and determine the single odor type to be collected. This can include common food odors (such as garlic, onion, fast food, etc.), smoke (the odors produced by different brands of cigarettes may be slightly different), sweat, pet odors, etc. These odors are more common in the in-vehicle environment and are likely to affect riding comfort. For each single odor, sample data at different intensities needs to be collected. Different intensity levels can be simulated by controlling the release amount of the odor source. For example, for food odors, different amounts of odorous food or the same amount of food can be released in closed spaces of different sizes to produce odors of different intensities. The intensity range can be divided into three levels: low, medium, and high, so as to more accurately analyze odor characteristics and formulate adjustment strategies. Use high-precision gas sensors to detect single odors of different intensities and record various parameters of the sensor output, such as the chemical composition of the odor, concentration value, sensor response time, etc. At the same time, combined with artificial olfactory evaluation, professional odor evaluators can be invited to conduct subjective evaluations of odors of different intensities, including evaluations of odor intensity, acceptability, irritation, etc.

[0039] Determine the characteristic parameters of each odor and determine the main chemical components of each single odor through chemical analysis methods. For example, tobacco smoke may contain nicotine, tar and other components; food odors may be composed of specific organic compounds. Understanding the chemical composition of odors helps to more deeply understand the nature and source of odors and provide a basis for formulating targeted regulation strategies.

[0040] Sensor response characteristics, analyze the response characteristics of high-precision gas sensors to different single odors. Different odors may cause different changes in the sensor's electrical signals, resistance or optical signals. By analyzing the sensor response characteristics, the unique performance of each odor on the sensor can be determined, such as a specific response curve, peak response value, etc. These characteristic parameters can serve as an important basis for identifying odors.

[0041] Relationship between intensity and characteristic parameters: Establish a relationship model between odor intensity and characteristic parameters. By analyzing a large amount of sample data, determine the quantitative relationship between odor intensity and characteristic parameters such as chemical component concentration and sensor response value. For example, it may be found that the intensity of a certain odor is linearly related to the concentration of a specific chemical component, or exponentially related to a specific parameter of the sensor. Such a relationship model can help accurately determine the intensity of the odor based on the characteristic parameters detected by the sensor in practical applications.

[0042] Develop odor control strategies: Develop strategies based on odor characteristics, targeting chemical composition, and selecting appropriate odor control methods based on the chemical composition of each odor. For example, if an odor is mainly composed of a specific organic compound, an odor filter with targeted adsorption or decomposition of the compound can be selected. For odors containing volatile organic compounds (VOCs), activated carbon filters or photocatalytic filters can be used for treatment.

[0043] Consider the sensor response characteristics and use them to develop adjustment strategies. If the response characteristics of a certain odor on the sensor are relatively unique, a specific algorithm can be designed based on these characteristics to identify and process the odor. For example, if the sensor response curve of a certain odor has a clear peak, a threshold can be set to determine the intensity of the odor and automatically adjust the working mode of the odor adjustment device based on the intensity.

[0044] Combined with the intensity level, different adjustment strategies are formulated according to the intensity level of the odor. For low-intensity odors, a gentler adjustment method can be used, such as using an odor neutralizer or slightly adjusting the in-vehicle ventilation system. For medium-intensity odors, a medium-intensity odor filter or odor sprayer can be activated for treatment. For high-intensity odors, strong filtering or purification measures are required to quickly and effectively remove the odor.

[0045] The second comparison model construction process: Complex odor data collection: Collect sample data of multiple odor source mixtures in the car and convert them into multi-odor mixture characteristic parameters; record the multi-odor source data under different mixing ratios, and analyze the interaction relationship between the odor sources within the multiple odor sources according to the algorithm; design a combination of adjustment strategies for the mixture of multiple odor sources, and build a second adjustment strategy library based on the adjustment strategy combination data.

[0046] Mixed odor simulation and data collection:

[0047] Simulate the mixing of multiple common odors in a laboratory environment or in an actual vehicle, such as releasing different combinations of odor sources such as food odor and smoke, floral fragrance and leather smell, etc. Use a high-precision gas sensor to detect the characteristics of the mixed odor, record the odor data at different mixing ratios, and the user's feelings and evaluation of the mixed odor.

[0048] Analyze the interaction between different odors, for example, some odors may enhance, mask or produce new unpleasant odors. Design a combination of treatment strategies for mixed odors based on the results of the interaction analysis and user needs. For example, for a mixture of food odor and smoke, consider using a strong odor filter to remove the main odor first, and then use a specific odor neutralizer to deal with the residual odor.

[0049] Using deep learning algorithms, such as neural networks, we build a relationship model between mixed odor features and processing strategy combinations. By inputting mixed features of multiple odors, the model can output the best processing strategy combination. We train the model using the collected mixed odor data, and continuously adjust the model parameters to improve the accuracy and adaptability when processing mixed odors.

[0050] The third comparison model construction process: collect sample data of special odor sources, record characteristic data of special odor sources, and establish a special odor database; conduct risk assessment on special odors to determine their potential impact on human health and vehicle safety; formulate emergency treatment strategies based on risk assessment results, build a third adjustment strategy library, and use voice to notify on-board personnel of the strategy results to take emergency measures.

[0051] Special odor data collection: Collect sample data of special or rare odors, including odors from chemical leaks, abnormal odors that enter the car under special circumstances, etc. This data can be obtained by cooperating with chemical laboratories and simulating special scenarios. Record the characteristics, potential hazards, and corresponding emergency treatment measures of special odors, and establish a special odor database.

[0052] Risk assessment and emergency strategy formulation: Conduct risk assessment on special odors to determine their potential impact on human health and vehicle safety. Formulate emergency response strategies based on the risk assessment results, such as immediately activating the most powerful odor filtration system, sounding an alarm and notifying users to take corresponding measures.

[0053] The third comparison model is constructed using an expert system or a rule-based algorithm, which can quickly identify and initiate corresponding emergency treatment strategies based on the detected special odor characteristics.

[0054] By conducting actual tests by simulating special odor scenarios, the accuracy and reliability of the model are verified, and the model is continuously improved to ensure that correct measures can be taken in a timely and effective manner when dealing with special odor situations.

[0055] In one of the embodiments, a vehicle occupant issues a voice command, and a voice adjustment module converts the voice signal into a text command; the voice adjustment module transmits the text command to an integration and interaction module, which parses the command to determine the specific needs of the user; based on the parsed command, the integration and interaction module sends a corresponding control signal to the odor adjustment device or the in-vehicle fresh air cleaning module.

[0056] In one of the embodiments, the in-vehicle fresh air cleaning module includes an air quality sensor for monitoring the in-vehicle air quality; after the in-vehicle fresh air cleaning module starts the purification function, it outputs a cleaning signal to the integration and interaction module; after receiving the signal, the integration and interaction module detects the air quality in real time and adjusts the working mode of the odor control device.

[0057] In one embodiment, the integrated interaction module converts the interaction operation data into a signal and feeds it back to the algorithm adjustment module.

[0058] The vehicle-mounted odor adjustment system provided by the above embodiment has the following beneficial effects:

[0059] Accurate detection of in-car gas is the basis for achieving high-quality odor regulation. High-precision gas sensors can capture subtle changes in various gases in the air in the car in real time, and can accurately detect the type and intensity of common odors or specific chemicals. This ensures accurate grasp of the odor and provides reliable data support for subsequent processing. For example, when the smell of food residue is detected in the car, the system can quickly determine its specific composition and intensity so that targeted measures can be taken.

[0060] Through database comparison and intelligent algorithms, the system can quickly formulate personalized adjustment strategies. The odor recognition module compares the real-time odor data with the preset data in the odor database, and combines the intelligent analysis of the algorithm adjustment module to generate the most suitable adjustment plan according to different odor conditions and user needs and preferences. If the user is allergic to a certain odor, the system can automatically adjust the odor adjustment device to remove the odor first. Or according to the user's preferences, a pleasant odor is released in a specific scene, such as releasing a refreshing mint smell to refresh the mind during long-distance driving. The interaction with other modules greatly enhances the user experience. The combination with the fresh air cleaning module can further improve the air quality while adjusting the odor. The fresh air cleaning module can effectively remove harmful substances such as dust and bacteria in the air, and work with the odor adjustment device to create a fresh and comfortable in-car environment for the driver and passengers. The interaction with the voice adjustment module increases the convenience of operation. Users can easily control the odor adjustment system through voice commands without manual operation, which greatly improves the safety and comfort of driving.

[0061] The vehicle-mounted odor adjustment system provided in this embodiment has highly correlated modules, and the high-precision gas sensor module is the data source of the odor recognition module. The gas type and intensity data detected by the sensor directly determine the comparison result of the odor recognition module. If the accuracy of the sensor is not high or the data is inaccurate, it will affect the accuracy of odor recognition. The comparison result of the odor recognition module is the basis for the algorithm adjustment module to formulate an adjustment strategy. Accurate comparison results enable the algorithm adjustment module to formulate a more reasonable adjustment strategy, thereby better improving the air quality in the car and improving ride comfort. The algorithm adjustment module controls the odor adjustment device by sending control instructions to the integrated interaction module. The integrated interaction module converts the user's interactive operation into a signal and feeds it back to the algorithm adjustment module so that the algorithm adjustment module can adjust according to user needs.

[0062] These four modules together form a complete in-vehicle odor adjustment system. The real-time detection of the high-precision gas sensor module provides basic data for the entire system; the odor recognition module analyzes and compares these data to provide decision-making basis for the algorithm adjustment module; the algorithm adjustment module formulates adjustment strategies and controls the odor adjustment device through the integrated interaction module, and the integrated interaction module provides users with a convenient interaction method, allowing users to participate in the process of in-vehicle odor adjustment.

[0063] In some embodiments, the vehicle odor adjustment system also includes integration with other automobile systems to provide more intelligent options, such as gesture recognition, and the integration and interaction module can support gesture adjustment. The user can increase or decrease the odor concentration by waving, or switch the odor mode through specific gestures. The user can also remotely control the odor adjustment device in the car and the fresh air cleaning module in the car through the mobile phone APP. For example, before entering the vehicle, the user can turn on the fresh air mode in advance through the APP to ensure good air quality in the car. The integration and interaction module can understand the user's preferences and habits through an intelligent learning algorithm, and automatically adjust the working mode of the odor adjustment device and the fresh air cleaning module in the car based on this information. For example, if the user often uses the fresh air mode in the morning, the module can automatically start the mode every morning.

[0064] This solution provides a highly comfortable and personalized in-car environment for drivers and passengers by accurately detecting in-car gases, intelligently formulating personalized adjustment strategies, and interacting with other modules. It not only meets the user's refined needs for odor adjustment, but also improves the entire driving experience, and is an important direction for future optimization of automotive interior environments.

[0065] The above description is only a preferred embodiment of the present invention, and does not limit the patent scope of the present invention. All equivalent structural changes made by using the contents of the present invention specification and drawings under the inventive concept of the present invention, or directly / indirectly applied in other related technical fields are included in the patent protection scope of the present invention.

Claims

1. A vehicle-mounted odor adjustment system, characterized in that: include: High-precision gas sensor module, used to detect the type and intensity of gas in the air inside the car in real time; An odor recognition module receives data from the high-precision odor sensor module, creates an odor database, and compares the real-time odor data with the preset odor data in the odor database; An algorithm adjustment module receives the odor data comparison result, constructs a comparison model, and sends a control instruction to the integrated interaction module according to the adjustment strategy generated by the model; The integrated interactive module receives control instructions and interacts with the in-vehicle fresh air cleaning module and voice adjustment module.

2. The vehicle-mounted odor adjustment system according to claim 1, characterized in that: The odor recognition module also includes: According to the module's built-in odor database, the module uses a preset classification algorithm to analyze and classify the collected odor data and determine the intensity level of the odor. Based on the classification results, the system matches the corresponding odor adjustment equipment, and the on-board personnel adjust the automatic classification results through the interactive interface inside the car.

3. The vehicle-mounted odor adjustment system according to claim 1, characterized in that: The algorithm adjustment module also includes: constructing a first comparison model, a second comparison model and a third comparison model for processing multi-category odor source data.

4. The vehicle-mounted odor adjustment system according to claim 3, characterized in that: include: The first comparison model construction process: data collection and analysis, collecting sample data of a single odor source, including different types of single odors and corresponding intensity ranges; determining the characteristic parameters of each odor; formulating corresponding odor adjustment strategies; and constructing the first adjustment strategy library based on the above odor adjustment strategy data.

5. The vehicle-mounted odor adjustment system according to claim 3, characterized in that: include: The second comparison model building process: complex odor data collection: collect sample data of multiple odor sources mixed in the car and convert them into multi-odor mixed feature parameters; Record the data of multiple odor sources at different mixing ratios, and analyze the interaction relationship between odor sources within the multiple odor sources according to the algorithm; Aiming at the mixture of multiple odor sources, an adjustment strategy combination is designed, and a second adjustment strategy library is constructed according to the adjustment strategy combination data.

6. The vehicle-mounted odor adjustment system according to claim 3, characterized in that: include: The third comparison model building process: collecting sample data of special odor sources, recording characteristic data of special odor sources, and establishing a special odor database; Conduct risk assessment on special odors to determine their potential impact on human health and vehicle safety; formulate emergency treatment strategies based on the risk assessment results, build a third-party adjustment strategy library, and notify the on-board personnel of the strategy results through voice to take emergency measures.

7. The vehicle-mounted odor adjustment system according to claim 1, characterized in that: include: The vehicle personnel issue voice commands, and the voice adjustment module converts the voice signals into text commands; the voice adjustment module transmits the text commands to the integration and interaction module, and the integration and interaction module parses the commands to determine the specific needs of the user; based on the parsed commands, the integration and interaction module sends corresponding control signals to the odor adjustment device or the in-vehicle fresh air cleaning module.

8. The vehicle-mounted odor adjustment system according to claim 1, characterized in that: include: The in-vehicle fresh air cleaning module includes an air quality sensor for monitoring the in-vehicle air quality; After the in-vehicle fresh air cleaning module starts the purification function, it outputs a cleaning signal to the integration and interaction module; After receiving the signal, the integration and interaction module detects the air quality in real time and adjusts the working mode of the odor regulating device.

9. The vehicle-mounted odor adjustment system according to claim 1, characterized in that: include: The integrated interaction module converts the interaction operation data into a signal and feeds it back to the algorithm adjustment module.

10. A computer storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the system according to any one of claims 1 to 9 is implemented.

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