Intelligent cabin control method, device and equipment and storage medium

Abstract

The invention discloses a control method, device and equipment of an intelligent cabin and a storage medium. The method comprises the following steps: acquiring identity information; according to the identity information, identifying a login user of the intelligent cabin; obtaining a personalized recommendation result, corresponding to the login user, of the intelligent cabin; according to the personalized recommendation result, personalized operation is executed on the intelligent cabin, and the control flexibility of the intelligent cabin is improved.

Description

Technical Field

[0001] The present application relates to the field of vehicles, and in particular to a control method, device, equipment and storage medium for an intelligent cockpit. Background Art

[0002] Smart cockpit refers to the cockpit or passenger cabin of vehicles such as cars and airplanes equipped with advanced technologies and intelligent systems. It applies artificial intelligence, big data, the Internet of Things and other technologies to the interior space of vehicles, improving the comfort, safety and convenience of driving and riding. The application of smart cockpit technology enables drivers and passengers to more conveniently control on-board equipment, obtain information, enjoy entertainment, etc., greatly improving the quality of travel.

[0003] The development of smart cockpits stems from the continuous pursuit of user experience and comfort. With the development of science and technology and the improvement of people's living standards, people have higher expectations for the comfort and intelligence of transportation. However, the existing smart cockpits need to be adjusted by users to achieve the state expected by users, and their flexibility is poor. Summary of the invention

[0004] The present application aims to at least solve the technical problems existing in the prior art. To this end, the present application proposes a control method, device, equipment and storage medium for a smart cockpit, which can improve the control flexibility of the smart cockpit.

[0005] A first aspect of an embodiment of the present application provides a method for controlling a smart cockpit, the method comprising: Acquire identity information, wherein the identity information includes at least one of the following: a login account of the smart cockpit, and user feature information collected by the smart cockpit; According to the identity information, identifying a logged-in user of the smart cockpit; Obtaining personalized recommendation results of the smart cockpit corresponding to the logged-in user; According to the personalized recommendation result, a personalized operation is performed on the smart cockpit.

[0006] The embodiment of the present application provides a control method for a smart cockpit. After determining the identity of the logged-in user according to the acquired identity information, the smart cockpit can be subjected to a corresponding personalized recommendation operation according to the personalized recommendation result of the smart cockpit corresponding to the logged-in user. It can be seen that the embodiment of the present application can trigger the smart cockpit to perform a personalized recommendation operation adapted to the logged-in user without user operation, thereby improving the control flexibility of the smart cockpit, and further, improving the matching degree between the state of the smart cockpit and the use of the logged-in user.

[0007] In some embodiments of the present application, before obtaining the personalized recommendation result of the smart cockpit corresponding to the logged-in user, the method further includes: Determine the time interval to which the current time belongs; The obtaining of a personalized recommendation result of the smart cockpit corresponding to the logged-in user includes: Obtain personalized recommendation results corresponding to the smart cockpit, the logged-in user, and the time interval.

[0008] In some embodiments of the present application, before obtaining the personalized recommendation result of the smart cockpit corresponding to the logged-in user, the method further includes: Determining a situation mode of the smart cockpit; The obtaining of the personalized result corresponding to the logged-in user includes: Obtain personalized recommendation results corresponding to the smart cockpit, the logged-in user, and the situational mode.

[0009] In some embodiments of the present application, before obtaining the personalized recommendation result of the smart cockpit corresponding to the logged-in user, the method further includes: Acquire historical voice command data of the logged-in user; Analyze the historical voice command data to determine the logged-in user's usage preference for the smart cockpit; Generate a personalized recommendation result for the logged-in user according to the usage preference of the smart cockpit by the logged-in user.

[0010] In some embodiments of the present application, analyzing the historical voice command data to determine the logged-in user's usage preference for the smart cockpit includes: Counting the keywords in the historical voice command data to obtain word frequency statistics results; Identifying the types of functions for adjusting the smart cockpit in the historical voice command data to obtain a function classification result; Based on the word frequency statistics result and the function classification result, the usage preference of the logged-in user for the smart cockpit is determined.

[0011] In some embodiments of the present application, performing a personalized operation on the smart cockpit according to the personalized recommendation result includes: According to the personalized recommendation result, the working state of the smart cockpit is adjusted to a state matching the personalized recommendation result.

[0012] In some embodiments of the present application, before adjusting the working state of the smart cockpit to a state matching the personalized recommendation result according to the personalized recommendation result, the method further includes: Outputting the personalized recommendation result; Receiving feedback information from the logged-in user on the personalized recommendation result; The step of adjusting the working state of the smart cockpit to a state matching the personalized recommendation result according to the personalized recommendation result includes: When the feedback information is positive feedback information, the working state of the smart cockpit is adjusted to a state matching the personalized recommendation result.

[0013] A second aspect of an embodiment of the present invention provides a control device for a smart cockpit, the device comprising: An acquisition unit, configured to acquire identity information, wherein the identity information includes at least one of the following: a login account of the smart cockpit, and user feature information collected by the smart cockpit; an identification unit, configured to identify a logged-in user of the smart cockpit according to the identity information; A matching unit is used to obtain personalized recommendation results of the smart cockpit corresponding to the logged-in user.

[0014] A third aspect of an embodiment of the present invention provides an electronic device, comprising: at least one control processor and a memory for communicating with the at least one control processor; the memory stores instructions executable by the at least one control processor, and the instructions are executed by the at least one control processor so that the at least one control processor can execute the above-mentioned method for controlling a smart cockpit.

[0015] A fourth aspect of an embodiment of the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium stores computer-executable instructions, and the computer-executable instructions are used to enable a computer to execute the above-mentioned method for controlling a smart cockpit.

[0016] It can be understood that the beneficial effects of the second to fourth aspects compared with the related art are the same as the beneficial effects of the first aspect compared with the related art. Please refer to the relevant description in the first aspect, and no further details will be given here. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the description of the embodiments in conjunction with the following drawings, in which: Figure 1 It is a flowchart of a control method of a smart cockpit provided in an embodiment of the present application; Figure 2 It is a structural schematic diagram of a personalization device for a smart cockpit provided in an embodiment of the present application; Figure 3It is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0018] The embodiments of the present application are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present application, and cannot be understood as limiting the present application.

[0019] In the description of this application, if there is a description of first, second, etc., it is only for the purpose of distinguishing technical features, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features or implicitly indicating the order of the indicated technical features.

[0020] In the description of the present application, it should be understood that the descriptions involving orientation, such as the orientation or positional relationship indicated as up, down, etc., are based on the orientation or positional relationship shown in the drawings, and are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the present application.

[0021] In the description of this application, it should be noted that, unless otherwise clearly defined, terms such as setting, installing, connecting, etc. should be understood in a broad sense, and technicians in the relevant technical field can reasonably determine the specific meaning of the above terms in this application based on the specific content of the technical solution.

[0022] Smart cockpit refers to the cockpit or passenger compartment of vehicles such as cars and airplanes equipped with advanced technologies and intelligent systems. It applies technologies such as artificial intelligence, big data, and the Internet of Things to the interior space of vehicles, improving the comfort, safety, and convenience of driving and riding. The application of smart cockpit technology enables drivers and passengers to more conveniently control on-board equipment, obtain information, enjoy entertainment, etc., greatly improving the quality of travel.

[0023] Existing smart cockpits still have some challenges and limitations, one of the biggest issues is flexibility and adaptability. Currently, many smart cockpit settings and functions require users to manually adjust, such as seat position, temperature control, audio settings, etc., which to some extent limits the seamlessness and comfort of the user experience. In addition, for scenarios shared by multiple users, such as family cars, smart cockpits need better switching mechanisms to adapt to the preferences of different drivers and passengers.

[0024] For this purpose, refer to Figure 1The embodiment of the present application provides a control method for an intelligent cockpit. The method is applied to a vehicle and is not specifically limited here. The method includes the following steps S101 to S104: Step S101: Acquire identity information, wherein the identity information includes at least one of the following: a login account of the smart cockpit, and user feature information collected by the smart cockpit.

[0025] The embodiment of the present application does not limit the triggering condition of step S101. In some embodiments, step S101 may be executed when the vehicle is detected to be started. In other embodiments, step S101 may be executed when an identity information acquisition instruction is received.

[0026] In this step, the login account of the smart cockpit can be a user name and password registered in the smart cockpit, or it can be a third-party account (such as a social media account, email account); the smart cockpit can also obtain user characteristic information through a camera or other sensors. The user characteristic information includes but is not limited to biometric information, voice characteristics, etc., among which the biometric information can include at least one of fingerprint information, facial information, iris information, etc.

[0027] Step S102: Identify the logged-in user of the smart cockpit according to the identity information.

[0028] In a specific implementation, the vehicle may pre-store at least one user and its corresponding identity information. After obtaining the identity information, the vehicle may identify the current logged-in user of the smart cockpit by comparing the identity information.

[0029] The logged-in user of the smart cockpit can be understood as: a user who uses the smart cockpit; or a user in the smart cockpit. It should be noted that the logged-in user does not necessarily perform the smart cockpit login operation.

[0030] In some embodiments, after identifying the logged-in user of the smart cockpit, if it is detected that the user has a login account for the smart cockpit and the user is not currently logged in to the smart cockpit, the user's login account can be logged in autonomously in the smart cockpit to achieve automatic login to the smart cockpit, further improving the control flexibility of the smart cockpit.

[0031] Step S103: Obtain personalized recommendation results of the smart cockpit corresponding to the logged-in user.

[0032] In this step, the personalized recommendation results for the logged-in user are pre-generated based on the logged-in user's historical behavior preferences; when the smart cockpit recognizes the logged-in user, it will obtain the personalized recommendation results corresponding to the logged-in user from the database, and will receive real-time feedback from the logged-in user on the recommended personalized operations to update and improve the personalized recommendation results, so as to better adapt to user needs and enhance user experience.

[0033] Step S104: performing personalized operations on the smart cockpit according to the personalized recommendation results.

[0034] In this step, after obtaining the corresponding personalized recommendation results, the smart cockpit will perform corresponding personalized operations based on the personalized recommendation results, such as automatically adjusting the position of seats and rearview mirrors according to the user's body shape and preferences; setting the air-conditioning system according to the user's temperature preferences; starting the user's favorite music, radio or podcast channel; adjusting the interior lighting color and brightness to create an atmosphere preferred by the user, etc.

[0035] Different from the prior art, after determining the identity of the logged-in user according to the acquired identity information, the embodiment of the present application can perform corresponding personalized recommendation operations on the smart cockpit according to the personalized recommendation results of the smart cockpit corresponding to the logged-in user. It can be seen that the embodiment of the present application can trigger the smart cockpit to perform personalized recommendation operations adapted to the logged-in user without user operation, so that the control flexibility of the smart cockpit can be improved, and further, the matching degree between the state of the smart cockpit and the use of the logged-in user can be improved.

[0036] The following describes how to implement each of the above steps: Before obtaining the personalized recommendation result of the smart cockpit corresponding to the logged-in user in step S103, the method further includes the following step S201: Step S201: Determine the time interval to which the current time belongs.

[0037] The step S103 of obtaining the personalized recommendation result of the smart cockpit corresponding to the logged-in user includes the following step S202: Step S202: Obtain personalized recommendation results corresponding to the smart cockpit, the logged-in user, and the time interval.

[0038] In this implementation, the current time interval is determined based on the current date and time information provided by the smart cockpit system clock; the user can adjust and design the time interval according to their own needs to better suit the user's usage habits. This embodiment does not make specific limitations. After setting the time interval based on actual conditions, the time information provided by the system clock is compared with the defined time interval to determine the current time interval.

[0039] In some embodiments, in order to facilitate classification and personalized recommendation, a day can be divided into several time periods, each of which is a time interval, such as morning (6:00-10:00), morning (10:00-14:00), afternoon (14:00-18:00), evening (18:00-22:00) and night (22:00-6:00 the next day); the time intervals can also be divided according to dates, for example, the time intervals can be divided into rest days and weekdays according to the week, as well as the working hours and off-get off work hours on weekdays.

[0040] In this embodiment, personalized recommendation results of the logged-in user are loaded from the database based on the time interval of the current time. For example, in the morning time period on weekdays, the user may need navigation routes to the workplace, weather forecasts, and news briefing information, while in the off-get off work time period on weekdays, the user may prefer music playback, nearby restaurant recommendations, or traffic conditions on the route home, etc. The smart cockpit obtains the corresponding personalized operation results based on the logged-in user and the current time interval.

[0041] In this embodiment, by determining the time interval in which the current time is located and obtaining personalized recommended operations corresponding to the logged-in user, the smart cockpit can provide the user with the most appropriate services and information at the right time, greatly improving the user's overall driving experience, riding experience and the control flexibility of the smart cockpit.

[0042] Before obtaining the personalized recommendation result of the smart cockpit corresponding to the logged-in user in step S103, the method further includes the following step S301: Step S301: Determine the situational mode of the smart cockpit.

[0043] In this embodiment, the current situational mode of the smart cockpit is determined based on multiple parameters, including but not limited to: time, location, weather, etc.; the time can be divided into morning and evening rush hours, night driving, and holiday travel, etc., the location can be divided into urban driving, highways, and rural roads, etc., and the weather can be divided into sunny days, rainy days, snowy days, and foggy days, etc.

[0044] In some embodiments, for example, when the user is driving at night, on a highway, and the weather is sunny, the situational mode of the smart cockpit is a night highway driving mode; when traveling on a rural road on a rainy day or holiday, the situational mode of the smart cockpit is a vacation leisure mode, etc.

[0045] The step S103 of obtaining the personalized recommendation result of the smart cockpit corresponding to the logged-in user includes the following step S302: Step S302: Obtain personalized recommendation results corresponding to the smart cockpit, the logged-in user, and the situational mode.

[0046] In this embodiment, after the smart cockpit determines the current situation mode, it will combine the information of the logged-in user to obtain corresponding personalized recommended operations. For example, when the situation mode is the night highway driving mode, and the logged-in user prefers to listen to light music in a quiet environment, the smart cockpit may make the following personalized recommended operations: automatically adjust the seat to a comfortable position; set the air conditioner to a suitable temperature to reduce noise in the car; turn on the vehicle's night driving mode, reduce screen brightness, and avoid glare; recommend a light music playlist to help users relax; provide information on rest stops and restaurants along the way to facilitate rest planning; monitor driving status and issue rest reminders at the right time, etc.

[0047] In this embodiment, by combining the current context of the smart cockpit, personalized recommendation results corresponding to the logged-in user are obtained, so that the smart cockpit can provide a driving experience that is both in line with the context and meets personal preferences, greatly improving the user experience and control flexibility of the smart cockpit.

[0048] Before obtaining the personalized recommendation result of the smart cockpit corresponding to the logged-in user in step S103, the method further includes the following steps S401 to S403: Step S401, obtaining the historical voice command data of the logged-in user; Step S402: Analyze historical voice command data to determine the logged-in user's usage preference for the smart cockpit; Step S403: Generate personalized recommendation results for the logged-in user based on the usage preference of the smart cockpit by the logged-in user.

[0049] In this embodiment, the smart cockpit accesses all historical voice commands related to the logged-in user. This data may include all voice command records issued by the user during driving, such as navigation requests, music playback control, temperature adjustment, phone calls, etc.

[0050] In some embodiments, the acquired historical voice command data is deeply analyzed through natural language processing (NLP) technology and machine learning algorithms to infer the user's preferences and habits. For example, if the user often requests navigation to a specific location, or often plays a certain type of music in the morning, the system can infer that the user has such needs and preferences.

[0051] In some embodiments, based on the user's needs and preferences obtained from the above analysis, the smart cockpit generates corresponding personalized recommendations for the logged-in user, such as navigation suggestions, entertainment suggestions, comfort suggestions, safety tips, etc.; specifically, based on the historical records of the user's frequented places, provide pre-planned routes or traffic information; based on the user's listening preferences, recommend similar types of music or podcasts; automatically adjust the seat, air conditioning and other comfort options to match the user's preferences; if the user often drives in a fatigued state, the system can remind the user to rest or provide the location information of the cafe.

[0052] The step S402 of analyzing the historical voice command data to determine the logged-in user's usage preference for the smart cockpit includes the following steps S501 to S503: Step S501, counting the keywords in the historical voice command data to obtain word frequency statistics results; Step S502: Identify the types of functions for adjusting the smart cockpit in the historical voice command data to obtain a function classification result; Step S503: Determine the usage preference of the logged-in user for the smart cockpit based on the word frequency statistics results and the function classification results.

[0053] In this embodiment, the smart cockpit collects in advance all voice command data issued by the user during past interactions with the vehicle, converts the voice command data into text form based on deep learning and natural language processing technology, and analyzes the historical voice command data converted into text form to determine the user's usage preferences for the smart cockpit, and generates personalized recommendation results corresponding to the logged-in user based on the usage preferences of the logged-in user.

[0054] In some embodiments, keywords in historical voice command data are identified and extracted, such as temperature, volume, navigation, etc., and the frequency of occurrence of these keywords is counted to understand the functions and commands most commonly used by users, and obtain word frequency statistics results; the types of functions for adjusting the smart cockpit in the historical voice command data are identified, such as temperature and humidity for environmental control of the smart cockpit, and music and radio are entertainment functions for the smart cockpit, and obtain function classification results.

[0055] In some embodiments, based on the word frequency statistics and function classification results obtained above, the data is mined through big data technology and machine learning algorithms to generate corresponding user personalized recommendation results and the generated logged-in user personalized recommendation results are stored in a database, so that the smart cockpit can flexibly and proactively provide customized services based on the user's habits and preferences when the logged-in user is identified; for example, when the weather gets cold, the system can automatically preheat the seats; at time points frequented by users, the system can automatically start navigation to a certain place; or based on the user's music preferences, the system can proactively play their favorite songs.

[0056] In this embodiment, by analyzing the historical voice command data of the logged-in user, corresponding personalized recommended operations are generated and stored in the database. When the logged-in user is identified, personalized recommended operations can be actively provided, which not only improves the user experience, but also increases the interactivity and flexibility with the user.

[0057] In step S104, performing personalized operations on the smart cockpit according to the personalized recommendation result includes the following step S601: Step S601: According to the personalized recommendation result, the working state of the smart cockpit is adjusted to a state matching the personalized recommendation result.

[0058] Before adjusting the working state of the smart cockpit to a state matching the personalized recommendation result according to the personalized recommendation result in step S601, the method further includes the following steps S701 to S702: Step S701: output the personalized recommendation result; Step S702: Receive feedback information from the logged-in user on the personalized recommendation result.

[0059] In step S601, according to the personalized recommendation result, adjusting the working state of the smart cockpit to a state matching the personalized recommendation result includes the following step S703: Step S703: When the feedback information is positive feedback information, the working state of the smart cockpit is adjusted to a state matching the personalized recommendation result.

[0060] In this embodiment, before adjusting the working state of the smart cockpit to a state matching the personalized recommendation result according to the determined personalized recommendation result, the smart cockpit will first seek the user's consent. Specifically, the smart cockpit displays the personalized recommendation result to the user through screen display, voice broadcast or other means. After the personalized recommendation result is output, the smart cockpit will wait for the user's feedback. The user can express acceptance or rejection of the recommendation through the touch screen, voice command or physical button. The above feedback mechanism allows the user to maintain the dominant control over the cockpit and avoid the system making automatic adjustments that do not meet the user's expectations.

[0061] In some embodiments, if the user is satisfied with the recommendation result (i.e., provides positive feedback), the smart cockpit will execute the recommended operation and adjust the working state to match the recommendation. For example, if the recommendation is to adjust the seat to a memory position and the user does not object, the system will automatically adjust the seat; if the user feedback is negative, the smart cockpit will not execute the recommendation and will ask the user for specific details of his or her preferences in order to provide more accurate recommendations in the future.

[0062] In some embodiments, the smart cockpit will continuously collect the user's voice command data, and through technologies such as incremental learning, perform real-time analysis and processing on the acquired new voice command data, so as to update the user's corresponding personalized recommendation operations in real time, thereby ensuring the accuracy and applicability of the smart cockpit's personalized recommendation results.

[0063] In this embodiment, the smart cockpit interacts with the user before making automatic adjustments and performs personalized operations based on the user's feedback results, so that the smart cockpit can not only learn and predict user needs, but also respond to user feedback in real time, thereby flexibly providing a more humane and efficient service experience; at the same time, through continuous user interaction and feedback loops, the personalized recommendation results of the smart cockpit are continuously optimized, gradually reducing erroneous recommendations and improving user satisfaction.

[0064] like Figure 2 As shown, some embodiments of the present application provide a control device for a smart cockpit, the device comprising an acquisition unit 1100, an identification unit 1200, a matching unit 1300 and an execution unit 1400, specifically: The acquisition unit 1100 is used to acquire identity information, wherein the identity information includes at least one of the following: a login account of the smart cockpit, and user feature information collected by the smart cockpit; The identification unit 1200 is used to identify the login user of the smart cockpit according to the identity information; A matching unit 1300, used for the personalized recommendation result corresponding to the logged-in user of the smart cockpit; The execution unit 1400 is used to perform personalized operations on the smart cockpit according to the personalized recommendation results.

[0065] It should be noted that the control device of a smart cockpit provided in this embodiment and the control method of a smart cockpit described above are based on the same inventive concept, so the relevant contents of the control method of a smart cockpit described above are also applicable to the contents of the control device of a smart cockpit, and therefore, they will not be repeated here.

[0066] like Figure 3 The present application also provides an electronic device, which includes: at least one memory; at least one processor; at least one program; The program is stored in the memory, and the processor executes at least one program to implement the control method of the smart cockpit described above in the present disclosure.

[0067] The electronic device may be any intelligent terminal including a mobile phone, a tablet computer, a personal digital assistant (PDA), a vehicle-mounted computer, etc.

[0068] The electronic device according to the embodiment of the present application is described in detail below.

[0069] The processor 1600 may be implemented by a general-purpose central processing unit (CPU), a microprocessor, an application-specific integrated circuit (ASIC), or one or more integrated circuits, and is used to execute relevant programs to implement the technical solutions provided in the embodiments of the present invention. The memory 1700 can be implemented in the form of a read-only memory (ROM), a static storage device, a dynamic storage device, or a random access memory (RAM). The memory 1700 can store an operating system and other application programs. When the technical solution provided in the embodiment of this specification is implemented by software or firmware, the program code is stored in the memory 1700, and the processor 1600 calls and executes a control method of a smart cockpit in an embodiment of the present invention.

[0070] Input / output interface 1800, used to implement information input and output; Communication interface 1900, used to realize communication interaction between the device and other devices, which can be realized through wired mode (such as USB, network cable, etc.) or wireless mode (such as mobile network, WIFI, Bluetooth, etc.); Bus 2000 , which transmits information between various components of the device (e.g., processor 1600 , memory 1700 , input / output interface 1800 , and communication interface 1900 ); The processor 1600 , the memory 1700 , the input / output interface 1800 , and the communication interface 1900 are connected to each other in communication within the device via the bus 2000 .

[0071] An embodiment of the present invention further provides a storage medium, which is a computer-readable storage medium. The computer-readable storage medium stores computer-executable instructions, and the computer-executable instructions are used to enable a computer to execute the above-mentioned intelligent cockpit control method.

[0072] The memory, as a non-transient computer-readable storage medium, can be used to store non-transient software programs and non-transient computer executable programs. In addition, the memory may include a high-speed random access memory, and may also include a non-transient memory, such as at least one disk storage device, a flash memory device, or other non-transient solid-state storage device. In some embodiments, the memory may optionally include a memory remotely disposed relative to the processor, and these remote memories may be connected to the processor via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0073] The embodiments described in the present invention are intended to more clearly illustrate the technical solutions of the embodiments of the present invention and do not constitute a limitation on the technical solutions provided by the embodiments of the present invention. Those skilled in the art will appreciate that with the evolution of technology and the emergence of new application scenarios, the technical solutions provided by the embodiments of the present invention are also applicable to similar technical problems.

[0074] Those skilled in the art will appreciate that the technical solutions shown in the figures do not limit the embodiments of the present invention and may include more or fewer steps than shown in the figures, or a combination of certain steps, or different steps.

[0075] The device embodiments described above are merely illustrative, and the units described as separate components may or may not be physically separated, that is, they may be located in one place or distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0076] Those skilled in the art will appreciate that all or some of the steps in the methods disclosed above, and the functional modules / units in the systems and devices may be implemented as software, firmware, hardware, or a suitable combination thereof.

[0077] The terms "first", "second", "third", "fourth", etc. (if any) in the specification of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0078] It should be understood that in the present application, "at least one (item)" means one or more, and "plurality" means two or more. "And / or" is used to describe the association relationship of associated objects, indicating that three relationships may exist. For example, "A and / or B" can mean: only A exists, only B exists, and A and B exist at the same time, where A and B can be singular or plural. The character " / " generally indicates that the objects associated before and after are in an "or" relationship. "At least one of the following" or similar expressions refers to any combination of these items, including any combination of single or plural items. For example, at least one of a, b or c can mean: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", where a, b, c can be single or multiple.

[0079] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0080] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0081] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0082] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including multiple instructions to enable an electronic device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of each embodiment method of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (Read-Only Memory, ROM), random access memory (Random Access Memory, RAM), disk or optical disk and other media that can store programs.

[0083] The above is a specific description of the preferred implementation of the embodiments of the present application, but the embodiments of the present application are not limited to the above-mentioned implementation methods. Technical personnel familiar with the field can also make various equivalent modifications or substitutions without violating the spirit of the embodiments of the present application. These equivalent modifications or substitutions are all included in the scope defined by the claims of the embodiments of the present application.

Claims

1. A method for controlling a smart cockpit, characterized in that: include: Acquire identity information, wherein the identity information includes at least one of the following: a login account of the smart cockpit, and user feature information collected by the smart cockpit; According to the identity information, identifying a logged-in user of the smart cockpit; Obtaining personalized recommendation results of the smart cockpit corresponding to the logged-in user; According to the personalized recommendation result, a personalized operation is performed on the smart cockpit.

2. The control method of the smart cockpit according to claim 1, characterized in that: Before obtaining the personalized recommendation result of the smart cockpit corresponding to the logged-in user, the method further includes: Determine the time interval to which the current time belongs; The obtaining of a personalized recommendation result of the smart cockpit corresponding to the logged-in user includes: Obtain personalized recommendation results corresponding to the smart cockpit, the logged-in user, and the time interval.

3. The control method of the smart cockpit according to claim 1, characterized in that: Before obtaining the personalized recommendation result of the smart cockpit corresponding to the logged-in user, the method further includes: Determining a situation mode of the smart cockpit; The obtaining of the personalized result corresponding to the logged-in user includes: Obtain personalized recommendation results corresponding to the smart cockpit, the logged-in user, and the situational mode.

4. The control method of the smart cockpit according to claim 1, characterized in that: Before obtaining the personalized recommendation result of the smart cockpit corresponding to the logged-in user, the method further includes: Acquire historical voice command data of the logged-in user; Analyze the historical voice command data to determine the logged-in user's usage preference for the smart cockpit; Generate a personalized recommendation result for the logged-in user according to the usage preference of the smart cockpit by the logged-in user.

5. The control method of the smart cockpit according to claim 4, characterized in that: The analyzing the historical voice command data to determine the logged-in user's usage preference for the smart cockpit includes: Counting the keywords in the historical voice command data to obtain word frequency statistics results; Identifying the types of functions for adjusting the smart cockpit in the historical voice command data to obtain a function classification result; Based on the word frequency statistics result and the function classification result, the usage preference of the logged-in user for the smart cockpit is determined.

6. The control method of the smart cockpit according to claim 1, characterized in that: The performing a personalized operation on the smart cockpit according to the personalized recommendation result includes: According to the personalized recommendation result, the working state of the smart cockpit is adjusted to a state matching the personalized recommendation result.

7. The control method of the smart cockpit according to claim 6, characterized in that: Before adjusting the working state of the smart cockpit to a state matching the personalized recommendation result according to the personalized recommendation result, the method further includes: Outputting the personalized recommendation result; receiving feedback information from the logged-in user on the personalized recommendation result; The step of adjusting the working state of the smart cockpit to a state matching the personalized recommendation result according to the personalized recommendation result includes: When the feedback information is positive feedback information, the working state of the smart cockpit is adjusted to a state matching the personalized recommendation result.

8. A control device for an intelligent cockpit, characterized in that: The device comprises: An acquisition unit, configured to acquire identity information, wherein the identity information includes at least one of the following: a login account of the smart cockpit, and user feature information collected by the smart cockpit; an identification unit, configured to identify a logged-in user of the smart cockpit according to the identity information; A matching unit, configured to obtain a personalized recommendation result of the smart cockpit corresponding to the logged-in user; An execution unit is used to perform personalized operations on the smart cockpit according to the personalized recommendation result.

9. An electronic device, characterized in that: It includes at least one control processor and a memory for communicating with the at least one control processor; the memory stores instructions that can be executed by the at least one control processor, and the instructions are executed by the at least one control processor so that the at least one control processor can execute the control method of the smart cockpit described in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions, and the computer-executable instructions are used to enable a computer to execute the control method of the smart cockpit according to any one of claims 1 to 7.

Images