Vehicle control method, controller and vehicle
By installing VOC and odor sensors in the passenger compartment, and combining feature extraction and neural network models, the shortcomings of in-vehicle VOC detection and odor recognition are solved, achieving dynamic optimization of air quality and improving the comfort and safety of the in-vehicle environment.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-09-19
- Publication Date
- 2026-04-10
AI Technical Summary
Existing technologies cannot effectively and simultaneously detect volatile organic compounds (VOCs) and identify odors inside vehicles, making it difficult to optimize in-vehicle air quality and odor comfort, affecting passenger comfort and potentially posing a health hazard.
VOC sensor modules and odor sensor modules are installed in the passenger cabin. By combining feature extraction and neural network models, VOC detection and odor recognition are achieved, and control commands are generated to optimize air quality.
It achieves dynamic optimization control of air quality in the passenger cabin, improves the accuracy and precision of odor recognition, enhances the comfort and safety of the in-vehicle environment, avoids resource waste, and meets users' requirements for in-vehicle environmental quality.
Smart Images

Figure CN121822035A_ABST
Abstract
Description
Technical Field
[0001] This application belongs to the field of vehicle technology, and in particular relates to a vehicle control method, controller and vehicle. Background Technology
[0002] As people's demands for in-vehicle environment quality increase, in-vehicle air quality and odor comfort have become important indicators for measuring vehicle quality. The presence of volatile organic compounds (VOCs) and odors not only affects passenger comfort but may also pose health risks. Therefore, a comprehensive evaluation of in-vehicle air quality and odor comfort is urgently needed to optimize in-vehicle air quality levels. Summary of the Invention
[0003] This application aims to address at least one of the technical problems existing in the related art. To this end, this application proposes a vehicle control method, controller, and vehicle that can simultaneously perform VOC detection and odor recognition, realizing dynamic optimization control of the passenger compartment's control quality and meeting users' quality requirements for the in-vehicle environment.
[0004] In a first aspect, this application provides a vehicle control method, wherein a VOC sensor module and an odor sensor module are installed in the passenger compartment of the vehicle; the method includes: The system acquires VOC gas data collected by the VOC sensor module and odor data collected by the odor sensor module within the passenger compartment. The VOC gas data and the odor data are processed to control the operation of the vehicle.
[0005] According to the vehicle control method provided in the embodiments of this application, by setting a VOC sensor module and an odor sensor module in the passenger compartment to detect VOC gas data and odor data in the passenger compartment, VOC detection and odor recognition can be completed simultaneously. Then, the vehicle operation can be controlled based on the detected VOC gas data and odor data to optimize the air quality in the passenger compartment when the air quality is poor. This achieves dynamic optimization control of the passenger compartment control quality and meets the user's requirements for the quality of the in-vehicle environment.
[0006] One embodiment of this application describes a vehicle control method, wherein processing the VOC gas data and the odor data to control the vehicle operation includes: Feature extraction is performed on the VOC gas data and the odor data respectively to obtain VOC feature data and odor feature data; The vehicle operation is controlled based on the VOC characteristic data and the odor characteristic data.
[0007] One embodiment of this application describes a vehicle control method, wherein controlling the vehicle's operation based on the VOC feature data and the odor feature data includes: Based on the relationship between the VOC feature data and the VOC gas concentration threshold, a first control command is obtained. The first control command includes whether to control the operation of the air purification device in the vehicle or not to control the operation of the air purification device. Based on the VOC feature data and the odor feature data, a second control command is obtained; the second control command includes whether to control the operation of the air purification device in the vehicle or not to control the operation of the air purification device. The vehicle is controlled to operate based on at least one of the first control command and the second control command.
[0008] One embodiment of the vehicle control method of this application, wherein a first control command is obtained based on the relationship between the VOC feature data and the VOC gas concentration threshold, includes: If the VOC characteristic data is greater than the VOC gas concentration threshold, it is determined that the first control command includes the need to control the operation of the air purification device in the vehicle; If the VOC characteristic data is less than or equal to the VOC gas concentration threshold, it is determined that the first control command includes not requiring the air purification device to operate.
[0009] A vehicle control method according to an embodiment of this application, wherein a second control command is obtained based on the VOC feature data and the odor feature data, includes: The VOC feature data and the odor feature data are input into the target neural network model to obtain the second control command output by the target neural network model; the target neural network model is trained using the sample VOC feature data and sample odor feature data as samples and the sample control command corresponding to the sample VOC feature data and sample odor feature data as sample labels.
[0010] One embodiment of this application provides a vehicle control method, wherein controlling the vehicle to operate based on at least one of a first control command and a second control command includes: If the first control instruction includes the need to control the operation of the air purification device in the vehicle, and / or if the second control instruction includes the need to control the operation of the air purification device in the vehicle, then control the operation of the air purification device in the vehicle.
[0011] One embodiment of this application provides a vehicle control method, wherein controlling the vehicle to operate based on at least one of a first control command and a second control command includes: If both the first control command and the second control command include the step of acquiring VOC gas data in the passenger compartment collected by the VOC sensor module and odor data in the passenger compartment collected by the odor sensor module when it is not necessary to control the operation of the air purification device, then the step of acquiring VOC gas data in the passenger compartment collected by the VOC sensor module and odor data in the passenger compartment collected by the odor sensor module is executed.
[0012] One embodiment of the vehicle control method of this application includes acquiring VOC gas data in the passenger compartment collected by the VOC sensor module and odor data in the passenger compartment collected by the odor sensor module, comprising: When the vehicle is running or the air conditioning in the vehicle is running, the VOC gas data in the passenger compartment collected by the VOC sensor module and the odor data in the passenger compartment collected by the odor sensor module are acquired based on the target detection cycle.
[0013] One embodiment of the vehicle control method of this application includes acquiring VOC gas data in the passenger compartment collected by the VOC sensor module and odor data in the passenger compartment collected by the odor sensor module, comprising: Receive the user's first input; In response to the first input, the VOC gas data in the passenger compartment collected by the VOC sensor module and the odor data in the passenger compartment collected by the odor sensor module are acquired.
[0014] In a second aspect, this application provides a controller, including a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that the processor executes the computer program to implement the vehicle control method as described in the first aspect.
[0015] Thirdly, this application provides a vehicle, including: The VOC sensor module is installed in the passenger compartment of the vehicle; An odor sensor module is installed inside the passenger compartment; The controller as described in the second aspect is connected to the VOC sensor module and the odor sensor module, respectively.
[0016] According to the vehicle provided in the embodiments of this application, by installing a VOC sensor module and an odor sensor module in the passenger compartment to detect VOC gas data and odor data in the passenger compartment, VOC detection and odor recognition can be completed simultaneously. Then, the vehicle operation can be controlled based on the detected VOC gas data and odor data to optimize the air quality in the passenger compartment when the air quality is poor. This realizes dynamic optimization control of passenger compartment control quality and meets the user's quality requirements for the in-vehicle environment.
[0017] In one embodiment of this application, the vehicle's VOC sensor module includes multiple VOC sensor units, each of which is used to acquire VOC gas data of different types; the multiple VOC sensor units include: an acetaldehyde sensor unit, a formaldehyde sensor unit, a toluene sensor unit, and a TVOC sensor unit.
[0018] In one embodiment of this application, the vehicle's odor sensor module includes multiple odor sensor units, each of which is used to acquire different types of odor data; the multiple odor sensor units include: an olefin compound sensor unit, an alkane compound sensor unit, a benzene series compound sensor unit, and an aldehyde series compound sensor unit.
[0019] Fourthly, this application provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the vehicle control method as described in the first aspect above.
[0020] Fifthly, this application provides a computer program product, including a computer program that, when executed by a processor, implements the vehicle control method as described in the first aspect above.
[0021] The above-described one or more technical solutions in the embodiments of this application have at least one of the following technical effects: By installing VOC sensor modules and odor sensor modules in the passenger compartment to detect VOC gas data and odor data, VOC detection and odor recognition can be completed simultaneously. Based on the detected VOC gas data and odor data, the vehicle operation can be controlled to optimize the air quality inside the vehicle when the air quality inside the passenger compartment is poor. This achieves dynamic optimization control of passenger compartment quality and meets users' requirements for the quality of the in-vehicle environment.
[0022] Furthermore, by combining VOC characteristic data and odor characteristic data to jointly evaluate the odor quality in the passenger compartment in order to determine the second control command, the problem of misjudgment by a single sensor can be solved, the accuracy and precision of odor recognition can be improved, and precise monitoring and intelligent control of the environmental quality in the passenger compartment can be achieved, thereby improving the comfort and safety of the in-vehicle environment.
[0023] Furthermore, by periodically performing odor recognition and VOC detection in the passenger cabin, we can avoid wasting computing power and energy due to overly frequent detection, while ensuring air quality in the passenger cabin and improving the user experience.
[0024] Additional aspects and advantages of this application will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of this application. Attached Figure Description
[0025] The above and / or additional aspects and advantages of this application will become apparent and readily understood from the description of the embodiments taken in conjunction with the following drawings, in which: Figure 1 This is one of the flowcharts illustrating the vehicle control method provided in the embodiments of this application; Figure 2 This is a second schematic flowchart of the vehicle control method provided in the embodiments of this application; Figure 3 This is one of the structural schematic diagrams of the vehicle provided in the embodiments of this application; Figure 4 This is a second structural schematic diagram of the vehicle provided in the embodiments of this application; Figure 5 This is the third structural schematic diagram of the vehicle provided in the embodiments of this application; Figure 6 This is the fourth structural schematic diagram of the vehicle provided in the embodiments of this application; Figure 7 This is a schematic diagram of the structure of the vehicle control device provided in the embodiments of this application; Figure 8 This is a schematic diagram of the structure of the electronic device provided in the embodiments of this application. Detailed Implementation
[0026] The technical solutions of the embodiments of this application will be clearly described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this application. All other embodiments obtained by those skilled in the art based on the embodiments of this application are within the scope of protection of this application.
[0027] The terms "first," "second," etc., used in the specification and claims of this application are used to distinguish similar objects and not to describe a specific order or sequence. It should be understood that such use of data can be interchanged where appropriate so that embodiments of this application can be implemented in orders other than those illustrated or described herein, and the objects distinguished by "first," "second," etc., are generally of the same class and the number of objects is not limited; for example, a first object can be one or more. Furthermore, in the specification and claims, "and / or" indicates at least one of the connected objects, and the character " / " generally indicates that the preceding and following objects are in an "or" relationship.
[0028] The vehicle control method, vehicle control device, electronic device, and readable storage medium provided in this application will be described in detail below with reference to the accompanying drawings and through specific embodiments and application scenarios.
[0029] The vehicle control method can be applied to the terminal, and can be executed by the hardware or software in the terminal.
[0030] The terminal includes, but is not limited to, portable communication devices such as mobile phones or tablets with touch-sensitive surfaces (e.g., touchscreen displays and / or touchpads). It should also be understood that, in some embodiments, the terminal may not be a portable communication device, but rather a desktop computer with touch-sensitive surfaces (e.g., touchscreen displays and / or touchpads).
[0031] The following embodiments describe a terminal including a display and a touch-sensitive surface. However, it should be understood that the terminal may include one or more other physical user interface devices such as a physical keyboard, mouse, and joystick.
[0032] The vehicle control method provided in this application embodiment can be executed by an electronic device or a functional module or entity in an electronic device that can implement the vehicle control method. The electronic devices mentioned in this application embodiment include, but are not limited to, mobile phones, tablets, computers, cameras, and wearable devices. The vehicle control method provided in this application embodiment will be described below using an electronic device as the execution subject.
[0033] like Figure 1 As shown, the vehicle control method includes steps 110 and 120.
[0034] Step 110: Obtain VOC gas data in the passenger compartment collected by the VOC sensor module and odor data in the passenger compartment collected by the odor sensor module. In this step, VOC sensor modules and odor sensor modules can be installed in the passenger compartment of the vehicle.
[0035] The VOC sensor module can be used to collect VOC gas data of various types, detect the concentration levels of various types of VOC gases, and convert the detection signals into digital data to form VOC gas data.
[0036] Odor sensor modules can be used to collect odor signals in the air inside the passenger cabin and convert the detected signals into digital data to form odor data.
[0037] VOC gas data and odor data can be electrical signal data used to characterize the concentration of a gas or odor.
[0038] The odor sensor module detects different odor data depending on the gas concentration.
[0039] In some embodiments, the VOC sensor module may include multiple VOC sensor units.
[0040] Each sensor unit is sensitive to a specific type of VOC gas, and each sensor unit has a specific sensitive material and detection range. Through multi-component synergistic detection, accurate identification of a variety of VOC gases can be achieved.
[0041] For example, multiple VOC sensor units may include: an acetaldehyde sensor unit (for detecting the concentration of acetaldehyde gas, which is commonly found in automotive plastic parts and textiles), a formaldehyde sensor unit (for detecting the concentration of formaldehyde gas, which is commonly found in automotive trim materials and adhesives), a toluene sensor unit (for detecting the concentration of toluene gas, which is commonly found in automotive paints or adhesives), a TVOC (Total Volatile Organic Compounds) sensor unit (for measuring the concentration level of TVOC), a benzene sensor unit (for detecting the concentration of benzene gas), a xylene sensor unit (for detecting the concentration of gases such as o-xylene, m-xylene, and para-xylene), an ammonia sensor unit (for detecting the concentration of ammonia gas), and a hydrogen sulfide sensor unit (for detecting the concentration of hydrogen sulfide), etc., which are not limited in this application.
[0042] In some embodiments, the odor sensor module may include a plurality of odor sensor units.
[0043] Each sensor unit is sensitive to a specific type of odor substance, and each sensor unit has a specific sensitive material and detection range. It can collect odor characteristic parameters in the passenger cabin through multi-component synergistic detection.
[0044] For example, multiple odor sensor units may include: an olefin compound sensor unit (for detecting changes in the concentration of olefin organic compounds), an alkane compound sensor unit (for detecting the odor characteristics of alkane organic compounds), a benzene series compound sensor unit (for quantitative detection of benzene series compounds), an aldehyde series compound sensor unit (for measuring the concentration level of aldehyde series compounds), an alcohol sensor unit (for detecting the concentration level of short-chain alcohols such as ethanol and isopropanol), a ketone sensor unit (for detecting the concentration level of carbonyl compounds such as acetone and butanone), and a sulfur compound sensor unit (for detecting the concentration level of sulfur-containing organic compounds such as methanethiol and dimethyl sulfide), etc., which are not limited in this application.
[0045] Step 120: Process VOC gas data and odor data to control vehicle operation.
[0046] In this step, the air quality in the passenger compartment can be evaluated based on VOC gas data and odor data, and the vehicle operation can be controlled according to the quality evaluation results.
[0047] For example, if the air quality in the passenger compartment is determined to be poor based on VOC gas data and odor data, the vehicle's air purification program can be activated.
[0048] If the air quality level in the passenger cabin is determined to be good based on VOC gas data and odor data, there is no need to activate the air purification program, and the air level in the passenger cabin can be continuously monitored.
[0049] In this application, as Figure 2 As shown, VOC sensor modules and odor sensor modules are installed in the passenger cabin, which can simultaneously detect odor and VOC gas in the passenger cabin. The "dual-dimensional detection" system solves the shortcomings of related technologies that can only achieve odor recognition or only achieve VOC detection, and realizes a comprehensive judgment of the air quality in the passenger cabin.
[0050] According to the vehicle control method provided in the embodiments of this application, by setting a VOC sensor module and an odor sensor module in the passenger compartment to detect VOC gas data and odor data in the passenger compartment, VOC detection and odor recognition can be completed simultaneously. Then, the vehicle operation can be controlled based on the detected VOC gas data and odor data to optimize the air quality in the passenger compartment when the air quality is poor. This achieves dynamic optimization control of the passenger compartment control quality and meets the user's requirements for the quality of the in-vehicle environment.
[0051] In some embodiments, step 120 may include: Feature extraction was performed on VOC gas data and odor data respectively to obtain VOC feature data and odor feature data; Vehicle operation is controlled based on VOC and odor characteristic data.
[0052] In this embodiment, the original signals (VOC gas data and odor data) can be denoised, amplified, and standardized to ensure the accuracy of the signals. Then, feature extraction can be performed to obtain VOC feature data and odor feature data.
[0053] It can classify and identify VOC characteristic data and odor characteristic data, and convert the analysis results into control signals to control vehicle operation based on the control signals.
[0054] In some embodiments, controlling vehicle operation based on VOC characteristic data and odor characteristic data may include: The first control command is obtained based on the relationship between VOC feature data and VOC gas concentration threshold. The second control command is obtained based on VOC characteristic data and odor characteristic data; The vehicle is controlled to operate based on at least one of the first control command and the second control command.
[0055] In this embodiment, the first control command includes whether or not to control the operation of the air purification device in the vehicle.
[0056] The second control command includes whether or not to control the operation of the air purification device in the vehicle.
[0057] Air purification devices may include air conditioners, etc.
[0058] The passenger compartment control quality can be determined based on a "two-level analysis mode". For example, the first level of analysis can be performed on VOC characteristic data based on a preset VOC gas concentration threshold to complete the detection of VOC concentration in the passenger compartment and make a preliminary determination on whether the air purification device in the vehicle needs to be controlled. Then, the second level of analysis can be performed by combining VOC characteristic data and odor characteristic data to complete the odor determination in the passenger compartment. Finally, the air purification device can be controlled based on the results of the two levels of determination.
[0059] Alternatively, a first-level analysis can be performed based on VOC characteristic data and odor characteristic data to determine the odor in the passenger cabin. Then, a second-level analysis can be performed on the VOC characteristic data based on a preset VOC gas concentration threshold to detect the VOC concentration in the passenger cabin. Finally, the air purification device can be controlled based on the results of the two levels of determination. The priority of the determination and analysis can be selected based on user needs, etc., which is not limited in this application.
[0060] VOC gas concentration thresholds can be preset. Different types of VOC feature data correspond to different VOC gas concentration thresholds. For example, the VOC gas concentration threshold for acetaldehyde can be set to 0.04 mg / m³, the VOC gas concentration threshold for formaldehyde can be set to 0.08 mg / m³, the VOC gas concentration threshold for toluene can be set to 0.5 mg / m³, and the VOC gas concentration threshold for TVOC can be set to 2 mg / m³. Alternatively, other values can be set, which are not limited in this application.
[0061] By comparing VOC characteristic data with VOC gas concentration thresholds, VOC characteristic data can be analyzed to complete the detection of VOC concentration in the passenger cabin, thereby determining the first control command.
[0062] By combining VOC characteristic data and odor characteristic data, the odor of the occupant cabin can be determined to identify the second control command.
[0063] The following example illustrates step 120 by performing a first-level analysis of VOC feature data based on a preset VOC gas concentration threshold, followed by a second-level analysis combining VOC feature data and odor feature data.
[0064] In some embodiments, the first control command, derived based on the relationship between VOC feature data and VOC gas concentration threshold, may include: If the VOC characteristic data is greater than the VOC gas concentration threshold, the first control command is determined to include the need to control the operation of the air purification device in the vehicle.
[0065] In this embodiment, such as Figure 2 As shown, when the user starts the vehicle or remotely starts the air conditioner, the occupant cabin odor recognition and VOC detection system are activated simultaneously. The system collects VOC gas data based on the VOC sensor module and odor data based on the odor sensor module.
[0066] The signal processing and data analysis module can extract VOC gas data and odor data, process the VOC gas data into VOC feature data (data1), and process the odor data into odor feature data (data2).
[0067] Then, the concentration of VOC feature data can be judged to exceed the preset VOC gas concentration threshold. If the VOC feature data is greater than the preset VOC gas concentration threshold, the air purification program can be started and the first control command can be determined to include the need to control the operation of the air purification device.
[0068] If any VOC gas data collected by the VOC sensor unit in the VOC sensor module exceeds the preset VOC gas concentration threshold (e.g., acetaldehyde concentration > 0.04 mg / m³, formaldehyde concentration > 0.08 mg / m³, toluene concentration > 0.5 mg / m³, TVOC concentration > 2 mg / m³), the air purification program can be activated.
[0069] In some embodiments, the first control command, derived based on the relationship between VOC feature data and VOC gas concentration threshold, may include: If the VOC characteristic data is less than or equal to the VOC gas concentration threshold, the first control command is determined to include not requiring the air purification device to operate.
[0070] In this embodiment, if the collected VOC characteristic data are all less than or equal to the VOC gas concentration threshold, the air purification program may not be started. That is, it can be determined that the first control command includes not needing to control the operation of the air purification device.
[0071] Continue to refer to Figure 2 It can determine whether VOC characteristic data exceeds the concentration limit based on preset VOC gas concentration thresholds, that is, to perform the first level of analysis. If all VOC characteristic data are less than the VOC gas concentration threshold (e.g., acetaldehyde concentration ≤ 0.04 mg / m³, formaldehyde concentration ≤ 0.08 mg / m³, toluene concentration ≤ 0.5 mg / m³, TVOC concentration ≤ 2 mg / m³), it can be determined that the first control command includes not needing to control the operation of the air purification device, and the second level of analysis can continue to be performed to perform odor quality analysis of the passenger cabin based on VOC characteristic data and odor characteristic data.
[0072] In some embodiments, the second control command, derived based on VOC feature data and odor feature data, may include: VOC feature data and odor feature data are input into the target neural network model to obtain the second control command output by the target neural network model.
[0073] In this embodiment, VOC feature data can be used to provide basic information about the chemical substances of an odor, and can be used to correlate odors with specific VOC components.
[0074] Odor characteristic data can be used to provide the physical characteristics of the odor itself (such as odor type, intensity, and diffusion) and can be used to distinguish different odor sources (such as carpet smell or leather smell).
[0075] The target neural network model can output a second control command corresponding to the VOC feature data and odor feature data.
[0076] The feature data can be classified using machine learning algorithms (such as support vector machines or deep neural networks) to obtain the odor type corresponding to the odor feature data.
[0077] The types of odors can include carpet smell, genuine leather smell, suede smell, leather smell, plastic smell, glue smell, foam smell, solvent smell, wood smell, rubber smell, sealant smell, smoke smell, food smell, musty smell, and sweat smell, etc.
[0078] It can determine whether the odor characteristic data meets the preset standards (such as "qualified" or "needs purification") based on information such as odor safety threshold and user comfort preferences, and output a second control command.
[0079] The target neural network model is trained using sample VOC feature data and sample odor feature data as samples, and sample control commands corresponding to the sample VOC feature data and sample odor feature data as sample labels.
[0080] During the training phase, a large amount of known odor sample VOC feature data and sample odor feature data (such as acetaldehyde and formaldehyde concentration data and odor feature vector corresponding to "carpet smell") can be collected. The sample VOC feature data and sample odor feature data can be jointly encoded to form a comprehensive feature vector (similar to "odor ID card"). By fusing the chemical information of VOC with the physical features of odor sensors, the model's ability to distinguish odors can be enhanced (such as distinguishing between "leather smell" and "plastic smell", even though the two may contain similar VOC components).
[0081] The model can be trained using supervised learning algorithms to learn the mapping relationship between "comprehensive feature vectors" and "control commands", or other algorithms can be used for training, which is not limited in this application.
[0082] like Figure 2 As shown, when the analysis result corresponding to the odor characteristic data is "inferior to the preset odor quality", the second control command includes the need to control the operation of the air purification device in the vehicle, which can start the air purification program, that is, the air purification device can be controlled to operate.
[0083] If the analysis result corresponding to the odor characteristic data is "better than the preset odor quality", the second control command includes not needing to control the operation of the air purification device, and continuing to monitor VOC gas and odor in the passenger cabin.
[0084] According to the vehicle control method provided in the embodiments of this application, by combining VOC feature data and odor feature data to jointly evaluate the odor quality in the passenger compartment in order to determine the second control command, the misjudgment problem of a single sensor can be solved, the accuracy and precision of odor recognition can be improved, and the precise monitoring and intelligent control of the environmental quality in the passenger compartment can be realized, thereby improving the comfort and safety of the in-vehicle environment.
[0085] In some embodiments, controlling vehicle operation based on at least one of a first control command and a second control command may include: If the first control command includes the need to control the operation of the air purification device in the vehicle, and / or if the second control command includes the need to control the operation of the air purification device in the vehicle, then control the operation of the air purification device in the vehicle.
[0086] In some embodiments, controlling vehicle operation based on at least one of a first control command and a second control command may include: Both the first and second control commands include the steps of acquiring VOC gas data in the passenger compartment collected by the VOC sensor module and odor data in the passenger compartment collected by the odor sensor module, when it is not necessary to control the operation of the air purification device.
[0087] In this embodiment, a "two-level analysis mode" can be used to analyze the air quality in the passenger compartment. For example, VOC gas analysis can be performed first to output a first control command. If it is determined that the first control command includes the need to control the operation of the air purification device, the air purification device in the vehicle can be controlled to operate, and then the detection system can be started.
[0088] If the first control command is determined to include the fact that the operation of the air purification device is not required, odor analysis can be performed based on VOC characteristic data and odor characteristic data to output a second control command. If the second control command is determined to include the fact that the operation of the air purification device is required, the air purification device can be operated. If the second control command is determined to include the fact that the operation of the air purification device is not required, the air quality in the passenger cabin can continue to be monitored.
[0089] In actual implementation, such as Figure 2 As shown, when the user starts the vehicle or remotely starts the air conditioner, the occupant cabin odor recognition and VOC detection system are activated simultaneously, and step S101 is executed. Step S101: The signal processing and data analysis module can extract the feature data of the odor sensor module and the VOC sensor module, output VOC feature data data1 and odor feature data data2, and proceed to step S102. Step S102: The concentration of data1 can be judged to exceed the limit based on the preset VOC gas concentration threshold, that is, the first level analysis is performed. If the VOC concentration recorded in data1 is greater than the preset VOC gas concentration threshold, proceed to step S103; if the VOC concentration recorded in data1 is less than or equal to the preset VOC gas concentration threshold, proceed to step S104.
[0090] Step S103: Send a command to the control output module to start the air purification program.
[0091] Step S104: Input data1 and data2 into the preset target neural network model (odor quality evaluation model), and combine the VOC feature data1 and odor feature data2 to make a comprehensive odor quality judgment, that is, perform the second level analysis. If the odor quality collected by data1 and data2 is worse than the preset standard, then proceed to step S105; if the odor quality collected by data1 and data2 is better than the preset odor quality, then proceed to step S106.
[0092] Step S105: Send a command to the control output module to start the air purification program.
[0093] Step S106: Complete the odor assessment of the crew cabin and restart the detection system.
[0094] In some embodiments, VOC gas detection and odor detection in the passenger compartment can be automatically activated based on vehicle status, air conditioning status, humidity, light intensity, temperature, or user behavior data (such as seat usage and door opening frequency). These can be customized based on user needs, and this application does not impose any limitations.
[0095] Taking the automatic activation of detection based on the vehicle and air conditioning status as an example, step 110 can be further explained.
[0096] In some embodiments, step 110 may include: When the vehicle is running or the air conditioning is on, the system acquires VOC gas data in the passenger compartment collected by the VOC sensor module and odor data in the passenger compartment collected by the odor sensor module based on the target detection cycle.
[0097] In this embodiment, the air quality inside the passenger compartment can be periodically detected based on vehicle startup or remote air conditioning activation.
[0098] The preset time interval corresponding to the target detection cycle can be 4 hours or 5 hours, or it can be other values, which are not limited in this application.
[0099] For example, when the passenger compartment temperature is ≤30℃, the target detection cycle can be set to once every 4 hours; when the passenger compartment temperature is between 30℃ and 40℃, the target detection cycle can be set to once every 2 hours; when the passenger compartment temperature continuously exceeds 40℃ and the static time exceeds 4 hours (such as when the vehicle is parked outdoors for a long time), the system can automatically start the detection system.
[0100] When the user starts the vehicle or remotely starts the air conditioner, the system can automatically trigger the occupant cabin odor recognition and VOC detection cycle. After completing a complete detection cycle (including odor data collection, VOC data collection, data analysis and result determination), the system will enter a waiting state for the preset time interval corresponding to the target detection cycle. When the preset time interval is reached, the system will automatically restart the detection cycle.
[0101] When the user frequently starts the vehicle or the air conditioner, the system can retrieve the log information of the last complete test after each start, such as the start and end times of the test. The test program will then be restarted after a preset time interval from the end of the last complete test.
[0102] According to the vehicle control method provided in the embodiments of this application, by periodically performing odor recognition and VOC detection in the passenger compartment, the waste of computing power and energy caused by excessively frequent detection can be avoided, while ensuring the air quality in the passenger compartment and improving the user experience.
[0103] In some embodiments, step 110 may include: Receive the user's first input; In response to the first input, the VOC gas data in the passenger compartment collected by the VOC sensor module and the odor data in the passenger compartment collected by the odor sensor module are acquired.
[0104] In this embodiment, the first input can be at least one of the following: Firstly, the first input can be a touch operation, including but not limited to click, swipe, and press operations.
[0105] The first input from the user can be received by receiving the user's touch operation on the display area of the terminal screen.
[0106] To reduce user error rates, the effective area of the first input can be limited to a specific area, such as the upper middle area of the vehicle's central control interface; or, when the air quality detection interface is displayed, a target control can be displayed on the current interface, and touching the target control will enable the first input; or the first input can be set to a series of taps on the display area within a target time interval.
[0107] Secondly, the first input can be a physical button input.
[0108] In this embodiment, the terminal is equipped with physical buttons on its body corresponding to the air quality detection. The first input received by the user can be the user pressing the corresponding physical button; the first input can also be a combination of pressing multiple physical buttons simultaneously.
[0109] Thirdly, the first input can be voice input.
[0110] In this embodiment, when the terminal receives a voice message such as "Start air quality detection", it can trigger the display of an interface for obtaining VOC gas detection and odor detection.
[0111] Of course, in other embodiments, the first input may also be in other forms, including but not limited to character input, etc., which can be determined according to actual needs, and this application embodiment does not limit it.
[0112] For example, a separate manual operation button can be installed in the passenger compartment, allowing users to activate the passenger compartment odor level detection function at any time by pressing the button.
[0113] In this application, in addition to the automatic detection mode, users can manually start the detection, which can meet the personalized needs of users and improve the user experience.
[0114] The control device for the vehicle provided in this application is described below. The control device for the vehicle described below can be referred to in correspondence with the control method for the vehicle described above.
[0115] The vehicle control method provided in this application can be executed by a vehicle control device. This application uses the example of a vehicle control device executing the vehicle control method to illustrate the vehicle control device provided in this application.
[0116] This application also provides a vehicle control device.
[0117] like Figure 7 As shown, the vehicle's control device includes a VOC sensor module and an odor sensor module installed in the passenger compartment; the device includes a first processing module 710 and a second processing module 720.
[0118] The first processing module 710 is used to acquire VOC gas data in the passenger compartment collected by the VOC sensor module and odor data in the passenger compartment collected by the odor sensor module. The second processing module 720 is used to process VOC gas data and odor data to control vehicle operation.
[0119] According to the vehicle control device provided in the embodiments of this application, by setting a VOC sensor module and an odor sensor module in the passenger compartment to detect VOC gas data and odor data in the passenger compartment, VOC detection and odor recognition can be completed simultaneously. Then, the vehicle operation can be controlled based on the detected VOC gas data and odor data to optimize the air quality in the passenger compartment when the air quality is poor. This realizes dynamic optimization control of passenger compartment control quality and meets the user's requirements for the quality of the in-vehicle environment.
[0120] In some embodiments, the second processing module 720 may also be used for: Feature extraction was performed on VOC gas data and odor data respectively to obtain VOC feature data and odor feature data; Vehicle operation is controlled based on VOC and odor characteristic data.
[0121] In some embodiments, the second processing module 720 may also be used for: Based on the relationship between VOC feature data and VOC gas concentration threshold, a first control command is obtained. The first control command includes whether the air purification device in the vehicle needs to be controlled or not. Based on VOC characteristic data and odor characteristic data, a second control command is obtained; the second control command includes whether to control the operation of the air purification device in the vehicle or not. The vehicle is controlled to operate based on at least one of the first control command and the second control command.
[0122] In some embodiments, the second processing module 720 may also be used for: If the VOC characteristic data is greater than the VOC gas concentration threshold, the first control command is determined to include the need to control the operation of the air purification device in the vehicle.
[0123] In some embodiments, the second processing module 720 may also be used for: If the VOC characteristic data is less than or equal to the VOC gas concentration threshold, the first control command is determined to include not requiring the air purification device to operate.
[0124] In some embodiments, the second processing module 720 may also be used for: VOC feature data and odor feature data are input into the target neural network model to obtain the second control command output by the target neural network model; the target neural network model is trained using sample VOC feature data and sample odor feature data as samples and sample control commands corresponding to sample VOC feature data and sample odor feature data as sample labels.
[0125] In some embodiments, the second processing module 720 may also be used for: If the first control command includes the need to control the operation of the air purification device in the vehicle, and / or if the second control command includes the need to control the operation of the air purification device in the vehicle, then control the operation of the air purification device in the vehicle.
[0126] In some embodiments, the second processing module 720 may also be used for: Both the first and second control commands include the steps of acquiring VOC gas data in the passenger compartment collected by the VOC sensor module and odor data in the passenger compartment collected by the odor sensor module, when it is not necessary to control the operation of the air purification device.
[0127] In some embodiments, the first processing module 710 may also be used for: When the vehicle is running or the air conditioning is on, the system acquires VOC gas data in the passenger compartment collected by the VOC sensor module and odor data in the passenger compartment collected by the odor sensor module based on the target detection cycle.
[0128] In some embodiments, the first processing module 710 may also be used for: Receive the user's first input; In response to the first input, the VOC gas data in the passenger compartment collected by the VOC sensor module and the odor data in the passenger compartment collected by the odor sensor module are acquired.
[0129] The vehicle control device in this application embodiment can be an electronic device or a component within an electronic device, such as an integrated circuit or a chip. The electronic device can be a terminal or other devices besides a terminal. For example, the electronic device can be a mobile phone, tablet computer, laptop computer, PDA, in-vehicle electronic device, mobile internet device (MID), augmented reality (AR) / virtual reality (VR) device, robot, wearable device, ultra-mobile personal computer (UMPC), netbook, or personal digital assistant (PDA), etc. It can also be a server, network attached storage (NAS), personal computer (PC), television (TV), ATM, or self-service machine, etc. This application embodiment does not specifically limit the scope of the device.
[0130] The vehicle control device in this application embodiment can be a device with an operating system. This operating system can be Android, iOS, or other possible operating systems; this application embodiment does not specifically limit the specific operating system used.
[0131] The vehicle control device provided in this application embodiment can achieve... Figures 1 to 2 The various processes implemented in the method implementation examples will not be described again here to avoid repetition.
[0132] In some embodiments, such as Figure 8 As shown, this application embodiment also provides a controller 800, including a processor 801, a memory 802, and a computer program stored in the memory 802 and executable on the processor 801. When the program is executed by the processor 801, it implements the various processes of the above-described vehicle control method embodiment and can achieve the same technical effect. To avoid repetition, it will not be described again here.
[0133] It should be noted that the controller in this application embodiment includes the mobile controller and non-mobile controller described above.
[0134] In some embodiments, this application also provides a vehicle, including: a VOC sensor module, an odor sensor module, and a controller.
[0135] In this embodiment, the VOC sensor module can be installed in the passenger compartment of the vehicle.
[0136] Odor sensor modules can be installed inside the passenger compartment.
[0137] The controller is connected to the VOC sensor module and the odor sensor module respectively, and the controller can be used to execute the vehicle control method as described in any of the above embodiments.
[0138] According to the vehicle provided in the embodiments of this application, by installing a VOC sensor module and an odor sensor module in the passenger compartment to detect VOC gas data and odor data in the passenger compartment, VOC detection and odor recognition can be completed simultaneously. Then, the vehicle operation can be controlled based on the detected VOC gas data and odor data to optimize the air quality in the passenger compartment when the air quality is poor. This realizes dynamic optimization control of passenger compartment control quality and meets the user's quality requirements for the in-vehicle environment.
[0139] In some embodiments, the VOC sensor module may include multiple VOC sensor units.
[0140] In this embodiment, each VOC sensor unit is used to acquire VOC gas data of different types.
[0141] like Figure 4 As shown, in some embodiments, the multiple VOC sensor units may include: an acetaldehyde sensor unit, a formaldehyde sensor unit, a toluene sensor unit, and a TVOC sensor unit.
[0142] In some embodiments, the odor sensor module may include a plurality of odor sensor units, each odor sensor unit being used to acquire different types of odor data.
[0143] like Figure 5 As shown, in some embodiments, the plurality of odor sensor units may include: an olefin compound sensor unit, an alkane compound sensor unit, a benzene series compound sensor unit, and an aldehyde series compound sensor unit.
[0144] like Figure 3 As shown, in some embodiments, the controller may include a signal processing and data analysis module and a control output module.
[0145] In this embodiment, the signal processing and data analysis module can be connected to the VOC sensor module and the odor sensor module respectively, and the signal processing and data analysis module can be connected to the control output module. The modules can be connected to each other through a preset signal transmission interface.
[0146] The signal processing and data analysis module integrates data acquisition, processing, analysis, and execution control functions. It can comprehensively determine the odor status of the occupant cabin based on the detection results of the odor sensor array and VOC sensor array.
[0147] The control output module can receive the analysis results from the signal processing and data analysis module, and parse the analysis results into executable control commands. Through the CAN bus or other communication protocols, it can interact with the vehicle information system or mobile terminal to determine whether to start the air purification program based on the parsing results, so as to achieve dynamic optimization control of odor and VOC in the passenger compartment.
[0148] like Figure 6 As shown, in some embodiments, the signal processing and data analysis module may include: a data preprocessing submodule, a feature extraction submodule, a data analysis submodule, and a data output submodule.
[0149] In this embodiment, the data preprocessing submodule can be used to denoise, amplify, and standardize the original signal to ensure the accuracy of the signal.
[0150] The feature extraction submodule can be used to extract odor feature data and VOC feature data.
[0151] The data analysis submodule can classify, identify, and evaluate feature data based on preset algorithms. For example, it can classify odor feature data based on machine learning algorithms or other algorithms to identify specific odor types.
[0152] The data output submodule can convert the analysis results into control signals and output them to the control output module.
[0153] In some embodiments, an air pump device may be installed in the vehicle.
[0154] In this embodiment, there can be one or more air pump devices. For example, they can be respectively located near the VOC sensor module and the odor sensor module to increase the gas flow rate, thereby improving the detection efficiency.
[0155] In some embodiments, a gas absorption and thermal desorption device may be installed in the vehicle.
[0156] In this embodiment, the number of gas absorption and thermal desorption devices can be one or more. For example, they can be respectively arranged near the VOC sensor module and the odor sensor module to increase the gas concentration flowing through the sensor, thereby achieving trace level (the content of the analyte in the analyte component is less than one part per million, usually defined as ppb level, i.e., 10). -9 VOC detection and odor identification (at the level of content).
[0157] On the other hand, this application also provides a computer program product, which includes a computer program stored on a non-transitory computer-readable storage medium. The computer program includes program instructions. When the program instructions are executed by a computer, the computer can execute the various processes of the above-described vehicle control method embodiments and achieve the same technical effect. To avoid repetition, it will not be described again here.
[0158] In another aspect, this application also provides a non-transitory computer-readable storage medium storing a computer program thereon. When the computer program is executed by a processor, it implements the various processes of the above-described vehicle control method embodiments and can achieve the same technical effect. To avoid repetition, it will not be described again here.
[0159] In another aspect, this application embodiment provides a chip, which includes a processor and a communication interface. The communication interface is coupled to the processor, and the processor is used to run programs or instructions to implement the various processes of the above-described vehicle control method embodiment, and can achieve the same technical effect. To avoid repetition, it will not be described again here.
[0160] It should be understood that the chip mentioned in the embodiments of this application may also be referred to as a system-on-a-chip, system chip, chip system, or system-on-a-chip, etc.
[0161] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.
[0162] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the parts that contribute to the related technology, can be embodied in the form of software products. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments or some parts of the embodiments.
[0163] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application.
Claims
1. A method for controlling a vehicle, characterized in that, The vehicle's passenger compartment is equipped with a VOC sensor module and an odor sensor module; the method includes: The system acquires VOC gas data collected by the VOC sensor module and odor data collected by the odor sensor module within the passenger compartment. The VOC gas data and the odor data are processed to control the operation of the vehicle.
2. The vehicle control method according to claim 1, characterized in that, The process of processing the VOC gas data and the odor data to control the vehicle operation includes: Feature extraction is performed on the VOC gas data and the odor data respectively to obtain VOC feature data and odor feature data; The vehicle operation is controlled based on the VOC characteristic data and the odor characteristic data.
3. The vehicle control method according to claim 2, characterized in that, The method of controlling the vehicle operation based on the VOC feature data and the odor feature data includes: Based on the relationship between the VOC feature data and the VOC gas concentration threshold, a first control command is obtained. The first control command includes whether to control the operation of the air purification device in the vehicle or not to control the operation of the air purification device. Based on the VOC feature data and the odor feature data, a second control command is obtained; the second control command includes whether to control the operation of the air purification device in the vehicle or not to control the operation of the air purification device. The vehicle is controlled to operate based on at least one of the first control command and the second control command.
4. The vehicle control method according to claim 3, characterized in that, The first control command is obtained based on the relationship between the VOC feature data and the VOC gas concentration threshold, including: If the VOC characteristic data is greater than the VOC gas concentration threshold, it is determined that the first control command includes the need to control the operation of the air purification device in the vehicle; If the VOC characteristic data is less than or equal to the VOC gas concentration threshold, it is determined that the first control command includes not requiring the air purification device to operate.
5. The vehicle control method according to claim 3, characterized in that, The second control command obtained based on the VOC feature data and the odor feature data includes: The VOC feature data and the odor feature data are input into the target neural network model to obtain the second control command output by the target neural network model; the target neural network model is trained using the sample VOC feature data and sample odor feature data as samples and the sample control command corresponding to the sample VOC feature data and sample odor feature data as sample labels.
6. The vehicle control method according to claim 3, characterized in that, Controlling the vehicle to operate based on at least one of the first control command and the second control command includes: If the first control instruction includes the need to control the operation of the air purification device in the vehicle, and / or if the second control instruction includes the need to control the operation of the air purification device in the vehicle, then control the operation of the air purification device in the vehicle.
7. The vehicle control method according to claim 3, characterized in that, Controlling the vehicle to operate based on at least one of the first control command and the second control command includes: If both the first control command and the second control command include the step of acquiring VOC gas data in the passenger compartment collected by the VOC sensor module and odor data in the passenger compartment collected by the odor sensor module when it is not necessary to control the operation of the air purification device, then the step of acquiring VOC gas data in the passenger compartment collected by the VOC sensor module and odor data in the passenger compartment collected by the odor sensor module is executed.
8. The vehicle control method according to any one of claims 1-7, characterized in that, The acquisition of VOC gas data in the passenger compartment collected by the VOC sensor module and odor data in the passenger compartment collected by the odor sensor module includes: When the vehicle is running or the air conditioning in the vehicle is running, the VOC gas data in the passenger compartment collected by the VOC sensor module and the odor data in the passenger compartment collected by the odor sensor module are acquired based on the target detection cycle.
9. The vehicle control method according to any one of claims 1-8, characterized in that, The acquisition of VOC gas data in the passenger compartment collected by the VOC sensor module and odor data in the passenger compartment collected by the odor sensor module includes: Receive the user's first input; In response to the first input, the VOC gas data in the passenger compartment collected by the VOC sensor module and the odor data in the passenger compartment collected by the odor sensor module are acquired.
10. A controller, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the vehicle control method as described in any one of claims 1-9.
11. A vehicle, characterized in that, include: The VOC sensor module is installed in the passenger compartment of the vehicle; An odor sensor module is installed inside the passenger compartment; The controller as described in claim 10 is connected to both the VOC sensor module and the odor sensor module.
12. The vehicle according to claim 11, characterized in that, The VOC sensor module includes multiple VOC sensor units, each of which is used to acquire VOC gas data of different types; the multiple VOC sensor units include: acetaldehyde sensor unit, formaldehyde sensor unit, toluene sensor unit, and TVOC sensor unit.
13. The vehicle according to claim 11 or 12, characterized in that, The odor sensor module includes multiple odor sensor units, each of which is used to acquire different types of odor data; the multiple odor sensor units include: an olefin compound sensor unit, an alkane compound sensor unit, a benzene series compound sensor unit, and an aldehyde series compound sensor unit.
14. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that, When executed by a processor, the computer program implements the vehicle control method as described in any one of claims 1-9.
15. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by the processor, it implements the vehicle control method as described in any one of claims 1-9.