Automobile user demand information processing method, computer device and storage medium

Abstract

The invention discloses an automobile user demand information processing method and device and a storage medium, and can identify user demand information on site and process the user demand information on site according to operation action information of an automobile user on an automobile function part in the process of using the automobile function part by the automobile user. Therefore, the collection efficiency and feedback efficiency of the user demand information are improved; in the identification process of the user demand information, the automobile user does not need to fill in questionnaires and other contents and does not need to depend on the expression feedback ability of the automobile user, the collection range and quantity of the user demand information are expanded, and more data support can be provided for improving the function use experience of the automobile; the user demand information can be collected on site and directly processed, nodes through which the user demand information needs to be transmitted can be reduced, information distortion borne by the user demand information is reduced, and therefore better data support can be provided for improving the function use experience of an automobile. The invention is widely applied to the technical field of automobiles.

Description

Technical Field

[0001] The present invention relates to the technical field of automobiles, and in particular to a method for processing automobile user demand information, a computer device, and a storage medium. Background Art

[0002] There are highly differentiated usage habits for many functions on automobiles. For example, the layout of physical buttons, buttons, and levers on the center console, the content of the human-machine interaction interface displayed on the in-vehicle display screen, and the light emission parameters such as the color and brightness of the ambient light may satisfy some users while dissatisfying others. During the process of using an automobile, users may have functional requirements. These functional requirements may be for functions that do not currently exist and are to be developed, or may be for the improvement of functions that are currently applied. If automobile manufacturers can collect user demand information and conduct research and improvement, on the one hand, it can provide users with a good user experience and fully realize the value of the automobile, and on the other hand, it is also beneficial to improve the reputation of the automobile manufacturers themselves, thereby generating commercial values such as increased sales.

[0003] Currently, automobile manufacturers mainly obtain user demand information through means such as sales and after-sales feedback, questionnaires, and network information collection and analysis. First, the efficiency of obtaining such user demand information is very low; second, some of the user demand information obtained through these channels is not directly feedback by automobile users to automobile manufacturers, and there is a possibility of information distortion; third, some users' demand ideas are generated when using the automobile. In the current information acquisition channels, users may not be able to timely feedback sufficient user demand information. For example, users only have dissatisfaction with the current automobile functions but do not form user demand information and feedback it. Summary of the Invention

[0004] Aiming at the technical problems such as low efficiency in obtaining current automobile user demand information, easy distortion, and low user feedback willingness, resulting in difficulty in effectively collecting automobile user demand information, the purpose of the present invention is to provide a method, device, and storage medium for processing automobile user demand information.

[0005] On the one hand, an embodiment of the present invention includes a method for processing automobile user demand information, and the method for processing automobile user demand information includes the following steps:

[0006] Detect operation action information of a user on an automobile functional component;

[0007] Based on the operation action information, identify user demand information on-site;

[0008] Process the user demand information.

[0009] Further, the operation action information of the user on the automotive functional component includes:

[0010] Detecting the total action information of the user within a first time period;

[0011] Decomposing the total action information to obtain the operation action information and the accompanying action information.

[0012] Further, the decomposing the total action information to obtain the operation action information and the accompanying action information includes:

[0013] Obtaining the standard action features corresponding to the standard operation of the automotive functional component;

[0014] Searching the total action information according to the standard action features;

[0015] When an action feature matching the standard action feature is searched from the total action information, determining the operation action information according to the searched action feature, and determining the accompanying action information according to the action feature not searched.

[0016] Further, the identifying the user demand information on-site according to the operation action information includes:

[0017] Performing semantic recognition on the accompanying action information to obtain semantic information;

[0018] Obtaining the automotive functional component information corresponding to the operation action information;

[0019] Deploying and running a multimodal artificial intelligence model locally on the vehicle;

[0020] Inputting the semantic information and the automotive functional component information into the multimodal artificial intelligence model for processing;

[0021] Obtaining the user demand information output by the multimodal artificial intelligence model.

[0022] Further, the identifying the user demand information on-site according to the operation action information includes:

[0023] Performing trace detection on the total action information to determine the start time of the total action information;

[0024] Obtaining the real-time time;

[0025] Determining the duration of the total action information according to the start time and the real-time time;

[0026] When the duration is greater than the duration threshold, obtain the information of the automotive functional components corresponding to the operation action information, and generate the user demand information according to the information of the automotive functional components.

[0027] Further, the on-site identification of the user demand information according to the operation action information includes:

[0028] Perform periodic analysis on the operation action information to determine the repetition period corresponding to the operation action information;

[0029] When the repetition period is less than the period threshold, obtain the information of the automotive functional components corresponding to the operation action information, and generate the user demand information according to the information of the automotive functional components.

[0030] Further, the processing of the user demand information includes:

[0031] Upload the user demand information to the automotive manufacturer's server;

[0032] Or

[0033] Adjust the control of the automotive functional components according to the user demand information.

[0034] Further, the adjustment of the control of the automotive functional components according to the user demand information includes:

[0035] Obtain the time interval and relevance between the operation action information and the accompanying action information;

[0036] Determine the adjustment amplitude according to the relevance; the adjustment amplitude is negatively correlated with the time interval, and the adjustment amplitude is positively correlated with the relevance;

[0037] Adjust the control logic and / or the interaction interface of the automotive functional components.

[0038] On the other hand, an embodiment of the present invention further includes a computer device, including a memory and a processor, the memory is used to store at least one program, and the processor is used to load at least one program to execute the automotive user demand information processing method in the embodiment.

[0039] On the other hand, an embodiment of the present invention further includes a computer-readable storage medium, in which a program executable by a processor is stored, and the program executable by the processor is used to execute the automotive user demand information processing method in the embodiment when executed by the processor.

[0040] The beneficial effects of the present invention are as follows: The method for processing automotive user demand information in the embodiment can, during the process of an automotive user using automotive functional components, identify on-site the user demand information based on the operation action information of the automotive user on the automotive functional components and process the user demand information on-site, thereby improving the acquisition efficiency and feedback efficiency of the user demand information; the process of identifying the user demand information does not require the automotive user to fill out questionnaires or the like, so it does not rely on the expression and feedback ability of the automotive user, expanding the scope and quantity of the collected user demand information, and thus being able to provide more data support for improving the functional usage experience of the vehicle; the user demand information can be collected and directly processed on-site, which can reduce the nodes that the user demand information needs to pass through, reduce the information distortion suffered by the user demand information, and thus be able to provide higher-quality data support for improving the functional usage experience of the vehicle. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 FIG. is a schematic diagram of an automotive system to which the method for processing automotive user demand information in the embodiment can be applied;

[0042] Figure 2 FIG. is a schematic diagram of the steps of the method for processing automotive user demand information in the embodiment;

[0043] Figure 3 FIG. is a schematic diagram of the total action information, operation action information, and accompanying action information in the embodiment. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0044] In this embodiment, the method for processing automotive user demand information can be applied to Figure 1 the automotive system shown. Referring to Figure 1, the vehicle system includes a control module, vehicle functional components, an interaction module, and an action detection module. Among them, the control module is a component with data acquisition, data processing, and control functions; the vehicle functional components include components such as an audio-visual entertainment system, air conditioner, windows, and ambient lights that perform corresponding functions; the interaction module includes operating components such as physical buttons, buttons, and levers, voice interaction components such as microphones, action gesture interaction components such as cameras, and touch interaction components such as display screens. Vehicle users can perform operation actions on the interaction module, and the interaction module converts the operation actions into control instructions for the vehicle functional components, thereby controlling the operation of the vehicle functional components. For example, when a vehicle user presses the air conditioner start button in the interaction module, the interaction module generates a control instruction for controlling the air conditioner, a vehicle functional component, thereby controlling the air conditioner to start working. When a vehicle user drags the music playback progress bar on the display screen in the interaction module, the interaction module generates a control instruction for controlling the audio-visual entertainment system, a vehicle functional component, thereby controlling the audio-visual entertainment system to change the music playback progress; the action detection module includes voice action detection components such as microphones and action gesture detection components such as cameras, and can detect various actions of vehicle users, including operation actions whose subjective purpose is to operate the interaction module to control the vehicle functional components, and accompanying actions whose subjective purpose is not to operate the interaction module.

[0045] In this embodiment, the interaction module and the action detection module can be the same hardware device. For example, a microphone and a camera are used simultaneously as the interaction module and the action detection module.

[0046] In this embodiment, taking the vehicle (this vehicle) equipped with the Figure 1 shown vehicle system as an example for illustration. The vehicle user can specifically be the driver or passenger of this vehicle. Specifically, the vehicle user mentioned in this embodiment can be one of the drivers or one passenger, or multiple people, such as a combination of one driver and one passenger.

[0047] In this embodiment, referring to Figure 2 , the vehicle user demand information processing method includes the following steps:

[0048] S1. Detect the operation action information of the user on the vehicle functional components;

[0049] S2. Identify the user demand information on-site according to the operation action information;

[0050] S3. Process the user demand information.

[0051] When a vehicle user needs to use a certain vehicle functional component, the vehicle user can perform an operation action by directly operating the interaction module, making a gesture, making a body movement, or speaking a control voice, etc. These operation actions are detected by the interaction module in step S1 and recognized as operation action information. The operation action information can be in the form of a time series, recording the operation actions made by the vehicle user at each moment, such as the travel distance when a physical button is pressed, the spatial positions of key nodes of the hand, face, and body, the sound intensity of the spoken voice, etc.

[0052] The interaction module sends the operation action information detected in step S1 to the control module. The control module executes step S2 to perform on-site processing on the operation action information, so as to identify the user demand information. Among them, the user demand information represents information such as the satisfaction degree of the vehicle user with the existing functions / interaction methods of the vehicle functional component they want to control, the improvement requirements, and / or the additional requirements for functions / interaction methods that have not been realized by the current vehicle functional component.

[0053] In step S3, the control module can call the communication module of the vehicle to upload the user demand information to the vehicle manufacturer's server, so that the vehicle manufacturer can obtain the user demand information. The user demand information can enable the vehicle manufacturer to understand the additional or improvement requirements of the vehicle user for the vehicle functions, thereby guiding the vehicle manufacturer to optimize the processes of vehicle design, production, and maintenance, etc., so as to improve the user experience.

[0054] In this embodiment, by executing steps S1 - S3, it is possible to on-site identify the user demand information and perform on-site processing on the user demand information according to the operation action information of the vehicle user on the vehicle functional component during the process of the vehicle user using the vehicle functional component, thereby improving the acquisition efficiency and feedback efficiency of the user demand information; the identification process of the user demand information does not require the vehicle user to fill in questionnaires, etc., so it does not need to rely on the expression and feedback ability of the vehicle user, expanding the scope and quantity of the collected user demand information, and thus being able to provide more data support for improving the functional usage experience of the vehicle; the user demand information can be collected on-site and directly processed, which can reduce the nodes that the user demand information needs to pass through, reduce the information distortion suffered by the user demand information, and thus be able to provide higher-quality data support for improving the functional usage experience of the vehicle.

[0055] In this embodiment, when executing step S1, that is, the step of detecting the operation action information of the vehicle user on the vehicle functional component, the following steps can be specifically executed:

[0056] S101. Detect the total action information of the user within the first time period;

[0057] S102. Decompose the total action information to obtain the operation action information and the accompanying action information.

[0058] In step S101, all actions of the vehicle user can be detected by the motion detection module or the interaction module to obtain total action information. The first time period can be any time period. The total action information can be in the form of a time series, recording all the actions made by the vehicle user at each moment, such as the travel distance when a physical button is pressed, the spatial positions of the key nodes of the hand, face, and limbs, and the voice sound intensity when speaking.

[0059] In step S102, the motion detection module or the interaction module can retrieve the standard action features corresponding to the standard operations of the vehicle functional components from the database. Among them, the standard operations of the vehicle functional components are pre-edited operations used to trigger the work of the vehicle functional components and control the functions of using the vehicle functional components. For example, a vehicle manufacturer can set the standard operations of the air conditioner, including "press the air conditioner start button" (used to start the air conditioner), "make a downward swiping gesture" (used to lower the air conditioning cooling or heating temperature), "make an upward swiping gesture" (used to increase the air conditioning cooling or heating temperature), and "speak the control voice" (used to start and stop the air conditioner, adjust the cooling or heating temperature), etc. The standard operation can be in the form of a time series within a period of time, recording the travel distance of pressing the physical button, the spatial positions of the key nodes of the hand, face, and limbs, and the voice sound intensity that the vehicle user needs to make at each moment. This time series is actually the standard action feature corresponding to the standard operation.

[0060] When performing step S102, as Figure 3 shown, the vehicle user makes a series of total actions, and the total action information is detected. The motion detection module or the interaction module can search the total action information according to the standard action features, and determine the action features that match the standard action features searched from the total action information as the operation action information. For example Figure 3 in, operation action information 1 (content: press the air conditioner start button), operation action information 2 (content: make a downward swiping gesture), and operation action information 3 (content: make a downward swiping gesture) and other operation action information are detected in the total actions made by the vehicle user.

[0061] The action features in the total action information other than the operation action information are action features that do not match any standard action features. In this embodiment, when performing step S102, such action features are determined as accompanying action information. For example Figure 3 in, accompanying action information 1 (content: speak the voice "Do you feel hot?"), accompanying action information 2 (content: speak the voice "Why is it still so hot?"), accompanying action information 3 (content: speak the voice "Why is it still so hot?"), and operation action information 4 (content: speak the voice "Is this air conditioner broken?") and other accompanying action information are detected in the total actions made by the vehicle user.

[0062] Reference Figure 3 For a time period in the duration of the total action information where there is no valid information, that is, information that belongs neither to the operation action information nor to the accompanying action information, it can be determined as information such as background noise or a blank time period.

[0063] In this embodiment, the operation action information is the action information for the vehicle user to subjectively operate the interaction module to control the vehicle functional components, and the accompanying action information is the action information for which the vehicle user's subjective purpose is not to operate the interaction module. During the actual use process, the vehicle user is likely to include or perform operation actions and accompanying actions simultaneously based on instinct and habit, thus forming the total actions made by the vehicle user. In addition to the operation action information including information such as the vehicle user's usage and improvement requirements for the vehicle functional components, the accompanying action information usually includes information such as the vehicle user's satisfaction with the use of the vehicle functional components, which can provide data support for the generation of user demand information. Therefore, in this embodiment, by executing steps S101 - S102, on the one hand, it can effectively identify the operation action information during the normal use process of the vehicle functional components by the vehicle user, and the vehicle user does not need to cooperate deliberately, thereby improving the user experience; on the other hand, it can identify the accompanying action information to support the generation of user demand information, thereby fully utilizing the information expressed by the vehicle user and improving the recognition accuracy of user demands.

[0064] In this embodiment, when performing step S2, that is, the step of on-site identifying the user demand information according to the operation action information, the following steps can be specifically executed:

[0065] S201A. Perform semantic recognition on the accompanying action information to obtain semantic information;

[0066] S202A. Obtain the vehicle functional component information corresponding to the operation action information;

[0067] S203A. Deploy and run a multimodal artificial intelligence model locally on the vehicle;

[0068] S204A. Input the semantic information and the vehicle functional component information into the multimodal artificial intelligence model for processing;

[0069] S205A. Obtain the user demand information output by the multimodal artificial intelligence model.

[0070] Steps S201A - S205A are the first execution method of step S2.

[0071] In step S201A, the control module can perform semantic recognition on the accompanying action information to obtain semantic information. For example, Figure 3The accompanying action information 1, accompanying action information 2, accompanying action information 3, accompanying action information 4, etc. therein are themselves voice data. By using voice recognition algorithms and semantic recognition algorithms for processing, semantic information in text form corresponding to each accompanying action information can be output.

[0072] In step S202A, the control module obtains the information of the vehicle functional component pointed to by the operation action information. For example, Figure 3 Among the various operation action information, each one alone or in combination points to the vehicle functional component of the air conditioner, that is, each operation action information is to control the vehicle functional component of the air conditioner, and the information of the vehicle functional component pointed to by the operation action information is the air conditioner.

[0073] In step S203A, the control module deploys and runs a trained multimodal artificial intelligence model locally. The multimodal artificial intelligence model can be a large language model.

[0074] In steps S204A - S205A, the control module inputs the semantic information obtained in step S201A and the information of the vehicle functional component obtained in step S202A into the multimodal artificial intelligence model for processing. Through its semantic processing performance and reasoning and association performance, the multimodal artificial intelligence model identifies the satisfaction degree of the vehicle user with the vehicle functional component according to the semantic information and the information of the vehicle functional component, and reasons and associates the addition and improvement requirements of the vehicle user for the vehicle functional component and its implemented functions, and obtains user demand information.

[0075] For example, using the multimodal artificial intelligence model to process Figure 3 the semantic information of the various accompanying action information shown may output user demand information such as "increase the air conditioning cooling capacity or increase the number of air conditioning outlets".

[0076] In this embodiment, by executing steps S201A - S205A, the semantic processing performance and reasoning and association performance of the multimodal artificial intelligence model can be utilized to process and obtain user demand information, realizing the efficient generation of user demand information; among them, the multimodal artificial intelligence model is deployed locally in the vehicle, which can well protect privacy and security; the semantic processing performance of the multimodal artificial intelligence model can accurately identify the needs of vehicle users, and the reasoning and association performance of the multimodal artificial intelligence model can further expand and optimize on the basis of the identified needs of vehicle users, thus providing a good reference for vehicle manufacturers to improve vehicle functions.

[0077] In this embodiment, when performing step S2, that is, the step of on-site identifying user demand information according to the operation action information, the following steps can be specifically executed:

[0078] S201B. Perform retrospective detection on the total action information to determine the start time of the total action information;

[0079] S202B. Obtain the real-time time;

[0080] S203B. Determine the duration of the total action information based on the start time and the real-time time;

[0081] S204B. When the duration is greater than the duration threshold, obtain the automotive functional component information corresponding to the operation action information, and generate user demand information based on the automotive functional component information.

[0082] Steps S201B - S204B are the second execution mode of step S2.

[0083] In step S201B, the total action information can be determined as shown in Figure 3 , and retrospective detection can also be performed on the basis of the total action information shown in Figure 3 . Specifically, it is possible to detect whether there is other operation action information or accompanying action information before the accompanying action information 1 in Figure 3 . If so, then detect the time interval between the other operation action information or accompanying action information and the accompanying action information 1. If the time interval is less than the threshold, then determine that the other operation action information or accompanying action information and the accompanying action information 1 are continuous, and extend the total action information shown in Figure 3 forward to include the other operation action information or accompanying action information, so as to achieve the retrospective detection of the total action information.

[0084] For the total action information after retrospective detection, its start time is the start time of the initial other operation action information or accompanying action information, and its end time is the real-time time, that is, the time when step S2 is executed. For example, Figure 3 is the end time of the accompanying action information 4. The duration from the start time of the total action information to the real-time time (the end time of the total action information) is the duration of the total action information.

[0085] In step S204B, the control module sets a duration threshold (for example, 1 min), and determines whether the duration of the total action information is greater than the duration threshold; if the duration of the total action information is greater than the duration threshold, then it is determined that the duration of the total action information is relatively long. The control module obtains the automotive functional component information corresponding to the operation action information (for example, Figure 3 the corresponding automotive functional component information in is the air conditioner), and generates user demand information based on the automotive functional component information. Specifically, the control module can generate user demand information with the content of "It is necessary to improve the working performance of the automotive functional component (specifically, the air conditioner)", which only clarifies the automotive functional component without clarifying the specific performance parameters, and is sufficient to provide a reference for optimizing the automotive performance.

[0086] In this embodiment, the principle of executing steps S201B - S204B is as follows: The total action information obtained through trace detection represents a series of consecutive actions of the vehicle user to use vehicle functional components. The duration of the total action information contains information such as the familiarity and satisfaction of the vehicle user with the vehicle functional components. For example, when the duration of the total action information is greater than a threshold, that is, too long, it usually indicates that the vehicle user is not familiar with or dissatisfied with the use of the vehicle functional components. Therefore, it can trigger the generation of user demand information. By executing steps S201B - S204B, it is possible to accurately identify the functional use or improvement needs of the vehicle user from the natural actions made by the vehicle user.

[0087] In this embodiment, when executing step S2, that is, the step of on - site identifying user demand information according to the operation action information, the following steps can be specifically executed:

[0088] S201C. Perform periodic analysis on the operation action information to determine the repetition period corresponding to the operation action information;

[0089] S202C. When the repetition period is less than the period threshold, obtain the vehicle functional component information corresponding to the operation action information, and generate user demand information according to the vehicle functional component information.

[0090] Steps S201C - S202C are the third execution mode of step S2.

[0091] In step S201C, the Fourier transform can be performed on the total action information to count the frequencies of each wave peak, so as to determine the periodicity of each action in the total action information and achieve periodic analysis. It is also possible to count the number of the same operation action information in the total action information. If the number of the same operation action information is large (greater than the quantity threshold), then the time intervals between each operation action information can be obtained, and the variance of these time intervals can be calculated. If the calculated variance is less than the variance threshold, it indicates that the time intervals between each operation action information are evenly distributed, and it is determined that this operation action information has periodicity, and these time intervals can be calculated as the repetition period T of this operation action information.

[0092] In step S202C, a period threshold can be set. If the repetition period T is less than the period threshold, it is determined that the repetition period T is too small, that is, the appearance of the same operation action information is too frequent. At this time, the control module can refer to the principle of step S204B and generate user demand information according to the vehicle functional component information.

[0093] In this embodiment, the principle of executing steps S201C - S202C is as follows: If there is an operation action information with an obvious periodicity, it usually corresponds to scenarios where a vehicle user repeatedly turns on and off a certain vehicle functional component within a short period of time, or highly adjusts a certain parameter of a vehicle functional component, etc. This usually indicates problems such as the vehicle user's unfamiliarity with the use of vehicle functional components, the unfriendly control interface of vehicle functional components provided by the interaction module, or the prone - to - failure of vehicle functional components. Therefore, triggering the generation of user demand information can effectively reflect the existence of these problems and the need for solutions, thereby guiding the optimization and improvement of the vehicle, improving the optimization efficiency and user experience.

[0094] In this embodiment, when performing step S3, that is, the step of processing user demand information, the following steps can be specifically executed:

[0095] S301. Obtain the time interval and correlation degree between the operation action information and the accompanying action information;

[0096] S302. Determine the adjustment amplitude according to the time interval and correlation degree;

[0097] S303. Adjust the control logic and / or interaction interface of the vehicle functional component.

[0098] Steps S301 - S303 are steps to adjust the control of vehicle functional components according to user demand information.

[0099] In step S301, the control module can detect the time interval and correlation degree between any one operation action information and any one accompanying action information. For example, for the accompanying action information 1 in Figure 3 , the control module calculates the time interval and correlation degree between the accompanying action information 1 and the operation action information 1, operation action information 2... respectively. Among them, the time interval between the operation action information and the accompanying action information can be the shortest time interval between the two, such as the time interval between the end time of the former and the start time of the latter; the correlation degree between the operation action information and the accompanying action information can be the correlation degree between the semantics of the operation action information and the semantics of the accompanying action information.

[0100] In this embodiment, if the correlation degree between an operation action information and an accompanying action information is greater than the threshold, then it can be determined that this operation action information is related to this accompanying action information. For example, this operation action information points to a certain vehicle functional component, and the accompanying action information is the vehicle user's evaluation of the use experience of the same vehicle functional component. At this time, step S302 can be triggered to determine the adjustment for the corresponding vehicle functional component (such as Figure 3The adjustment range corresponding to the automotive functional component is the air conditioner).

[0101] Specifically, in step S302, the determined adjustment range can be the adjustment range of the control logic of the automotive functional component (such as the upper and lower limits of the working parameters that can be controlled) and / or the interaction interface (such as the response sensitivity of the interaction module to the operation action information, the sorting and spacing of the operation buttons displayed on the display screen, etc.).

[0102] Specifically, for an operation action information and an accompanying action information with a correlation greater than the threshold, if the correlation between them is higher, then in step S302, a larger adjustment range is determined; if the time interval between them is shorter, then in step S302, a larger adjustment range is determined.

[0103] In step S303, the control logic and / or the interaction interface of the automotive functional component are adjusted using the adjustment range determined in step S302. For example, for the automotive functional component of the air conditioner, in step S303, the maximum heating temperature of the air conditioner can be increased, the minimum cooling temperature of the air conditioner can be decreased, the size of the virtual air conditioner temperature adjustment key displayed on the display screen of the interaction module can be increased, etc. according to the adjustment range. That is, the greater the adjustment range determined in step S302, the greater the difference between the control logic and / or the interaction interface of the automotive functional component after performing step S303 and the control logic and / or the interaction interface of the automotive functional component before adjustment.

[0104] In this embodiment, the principle of performing steps S301 - S303 is as follows: If the correlation between an operation action information and an accompanying action information in the total action information made by the automotive user is higher, it indicates that the automotive user expresses more information about the usage requirements when operating the automotive functional component. The shorter the time interval between this operation action information and this accompanying action information, it indicates that the automotive user pays more attention to the usage experience of the automotive functional component and is more urgent about the improvement of the usage requirements. Therefore, a larger adjustment range is set, and step S303 is executed to complete the adjustment and improvement of the control logic and / or the interaction interface of the automotive functional component locally in this vehicle. Therefore, by performing steps S301 - S303, it is possible to complete the optimization of this vehicle on-site without waiting for the automotive manufacturer to collect, analyze, and optimize the user demand information, thereby improving the optimization efficiency. And since the optimization process can be carried out entirely locally in this vehicle, it is easy to achieve personalized optimization.

[0105] A computer program for implementing the method for processing automotive user demand information in this embodiment can be written, and this computer program can be written into a computer device or a storage medium. When the computer program is read and run, the method for processing automotive user demand information in this embodiment is executed, thereby achieving the same technical effects as the method for processing automotive user demand information in the embodiment.

[0106] It should be noted that, unless otherwise specified, when a feature is referred to as "fixed" or "connected" to another feature, it can be directly fixed or connected to the other feature, or indirectly fixed or connected to the other feature. In addition, the up, down, left, right, etc. descriptions used in this disclosure are only relative to the mutual positional relationship of the various components of this disclosure in the drawings. The singular forms "a", "an", and "the" used in this disclosure are also intended to include the plural forms, unless the context clearly indicates otherwise. In addition, unless otherwise defined, all technical and scientific terms used in this embodiment have the same meaning as commonly understood by those skilled in the technical field of this technology. The terms used in the description of this embodiment are only for describing specific embodiments and are not intended to limit the present invention. The term "and / or" used in this embodiment includes any and all combinations of one or more of the related listed items.

[0107] It should be understood that although the terms first, second, third, etc. may be used in this disclosure to describe various elements, these elements should not be limited to these terms. These terms are only used to distinguish elements of the same type from each other. For example, without departing from the scope of this disclosure, the first element may also be referred to as the second element, and similarly, the second element may also be referred to as the first element. The use of any and all examples or exemplary languages ("for example", "such as", etc.) provided in this embodiment is only intended to better illustrate the embodiments of the present invention, and unless otherwise required, will not impose a limitation on the scope of the present invention.

[0108] It should be recognized that the embodiments of the present invention can be implemented or carried out by computer hardware, a combination of hardware and software, or by computer instructions stored in a non-transitory computer-readable memory. The method can be implemented in a computer program using standard programming techniques - including a non-transitory computer-readable storage medium configured with the computer program, where the storage medium so configured causes the computer to operate in a specific and predefined manner - according to the method and drawings described in the specific embodiment. Each program can be implemented in a high-level procedural or object-oriented programming language to communicate with the computer system. However, if needed, the program can be implemented in assembly or machine language. In any case, the language can be a compiled or interpreted language. In addition, for this purpose, the program can run on a programmed application-specific integrated circuit.

[0109] In addition, the operations of the processes described in this embodiment may be performed in any suitable order, unless this embodiment otherwise indicates or is clearly inconsistent with the context in other detectable ways. The processes described in this embodiment (or variations and / or combinations thereof) may be executed under the control of one or more computer systems configured with executable instructions and may be implemented as code (e.g., executable instructions, one or more computer programs, or one or more applications) executed commonly on one or more processors, by hardware, or a combination thereof. A computer program includes a plurality of instructions executable by one or more processors.

[0110] Furthermore, the method may be implemented in any type of computing platform operably connected, including but not limited to personal computers, minicomputers, mainframes, workstations, network or distributed computing environments, separate or integrated computer platforms, or communicating with charged particle tools or other imaging devices, etc. Aspects of the present invention may be implemented in machine-readable code stored on a non-transitory storage medium or device, whether removable or integrated into the computing platform, such as a hard disk, optical read and / or write storage medium, RAM, ROM, etc., such that it is readable by a programmable computer and, when the storage medium or device is read by the computer, can be used to configure and operate the computer to execute the processes described herein. In addition, the machine-readable code, or portions thereof, may be transmitted via a wired or wireless network. When such media include instructions or programs that implement the above steps in conjunction with a microprocessor or other data processor, the invention of this embodiment includes these and other different types of non-transitory computer-readable storage media. When programmed according to the methods and techniques of the present invention, the present invention also includes the computer itself.

[0111] The computer program can be applied to the input data to perform the functions of this embodiment, thereby transforming the input data to generate output data stored in a non-volatile memory. The output information can also be applied to one or more output devices such as a display. In a preferred embodiment of the present invention, the transformed data represents physical and tangible objects, including specific visual depictions of physical and tangible objects generated on a display.

[0112] The above are only the preferred embodiments of the present invention. The present invention is not limited to the above-described embodiments. As long as it achieves the technical effects of the present invention by the same means, any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present invention shall be included within the scope of protection of the present invention. Within the scope of protection of the present invention, its technical solutions and / or implementation manners may have various different modifications and variations.

Claims

1. A method for processing automobile user demand information, characterized in that: The automobile user demand information processing method comprises: Detecting the user's operation action information on the functional parts of the car; Identifying user demand information on site according to the operation action information; The user demand information is processed.

2. The automobile user demand information processing method according to claim 1, characterized in that: The detecting of the user's operation action information on the functional components of the automobile includes: Detecting total action information of the user in a first time period; The total action information is decomposed to obtain the operation action information and accompanying action information.

3. The automobile user demand information processing method according to claim 2, characterized in that: Decomposing the total action information to obtain the operation action information and the accompanying action information includes: Obtain standard action features corresponding to standard operations of automobile functional parts; Searching the total action information according to the standard action features; When an action feature matching the standard action feature is searched out from the total action information, the operation action information is determined based on the searched action feature, and the accompanying action information is determined based on the unsearched action feature.

4. The automobile user demand information processing method according to claim 3 is characterized in that: The identifying user demand information on site according to the operation action information includes: Performing semantic recognition on the accompanying action information to obtain semantic information; Acquire automobile functional component information corresponding to the operation action information; Deploy and run multimodal AI models locally in the car; Inputting the semantic information and the automobile functional component information into the multimodal artificial intelligence model for processing; Obtain the user demand information output by the multimodal artificial intelligence model.

5. The automobile user demand information processing method according to claim 3 is characterized in that: The identifying user demand information on site according to the operation action information includes: Performing retrospective detection on the total action information to determine the start time of the total action information; Get real time; Determine the duration of the total action information according to the start time and the real time; When the duration is greater than a duration threshold, the automobile functional component information corresponding to the operation action information is obtained, and the user demand information is generated according to the automobile functional component information.

6. The automobile user demand information processing method according to any one of claims 1 to 3, characterized in that: The identifying user demand information on site according to the operation action information includes: Performing periodic analysis on the operation action information to determine a repetition period corresponding to the operation action information; When the repetition period is less than a period threshold, the automobile functional component information corresponding to the operation action information is obtained, and the user demand information is generated according to the automobile functional component information.

7. The automobile user demand information processing method according to any one of claims 2 to 5, characterized in that: The processing of the user demand information includes: Uploading the user demand information to the automobile manufacturer's server; or According to the user demand information, the control of the functional components of the automobile is adjusted.

8. The automobile user demand information processing method according to claim 7, characterized in that: The step of adjusting the control of the functional components of the automobile according to the user demand information includes: Acquire the time interval and correlation between the operation action information and the accompanying action information; Determining an adjustment range according to the time interval and the correlation; the adjustment range is negatively correlated with the time interval, and the adjustment range is positively correlated with the correlation; Adjust the control logic and / or interactive interface of automotive functional components.

9. A computer device, characterized in that: It comprises a memory and a processor, the memory is used to store at least one program, and the processor is used to load at least one program to execute the automobile user demand information processing method described in any one of claims 1-8.

10. A computer-readable storage medium storing a program executable by a processor, characterized in that: The program executable by the processor is used to execute the automobile user demand information processing method described in any one of claims 1-8 when executed by the processor.

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