Guest greeting method and device, electronic equipment, storage medium and vehicle

By identifying and obtaining personalized information for people in the car, and using large language models to generate and broadcast personalized welcome language, the problem that the existing voice system in the car cannot provide personalized services, improving the user's driving experience.

CN120496502APending Publication Date: 2025-08-15ZHEJIANG ZEEKR INTELLIGENT TECH CO LTD +1
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Patent Information

Application Number
CN202510811153.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-06-17
Publication Date
2025-08-15

AI Technical Summary

Technical Problem

The existing in-car voice system cannot provide a personalized voice interactive experience and cannot provide services adapted to user characteristics for different users.

Method used

By identifying the person in the car, personalized information and vehicle status information are obtained, personalized welcome language is generated and broadcasted using a large language model, and broadcast tones suitable for different users are adopted.

Benefits of technology

It improves the accuracy and personalization of voice interaction and improves the user's driving experience.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention relates to a welcome method and device, electronic equipment, a storage medium and a vehicle. The welcome method comprises the following steps: in response to meeting a preset condition, performing identity recognition on each person in a vehicle to obtain an identity recognition result; identifying the personalized information corresponding to each person in the vehicle to obtain a personalized identification result, and / or identifying the vehicle state information to obtain a vehicle condition identification result; analyzing the identity recognition result, the personalized recognition result and / or the vehicle condition recognition result based on a preset large language model, and generating target welcome words corresponding to the persons in the vehicle; according to the method and the device, the target broadcasting timbre for broadcasting the target welcome language corresponding to each person in the vehicle is determined, and the target welcome language is broadcasted based on the target broadcasting timbre, so that the welcome language can be generated according to different characteristics of the persons in the vehicle and is broadcasted through the target broadcasting timbre, and the accuracy and personalization of voice interaction are improved.
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Description

Technical Field

[0001] The present disclosure relates to the field of vehicle technology, and in particular to a welcoming method, device, electronic device, storage medium, and vehicle. Background Art

[0002] With technological advancements, people's expectations for automotive quality are increasing, and smart cars have become an integral part of modern life. Existing in-car voice systems have greatly improved driving convenience for users. However, these systems currently only provide a standardized voice interaction experience, employing a uniform service model and response method for all users.

[0003] Therefore, in order to improve the user's driving experience, how to provide voice interaction adapted to the user's characteristics for different users has become a technical problem that needs to be solved urgently. Summary of the Invention

[0004] In order to solve the above technical problems, the present disclosure provides a welcoming method, device, electronic device, storage medium and vehicle.

[0005] A first aspect of an embodiment of the present disclosure provides a guest welcoming method, comprising:

[0006] In response to meeting the preset conditions, identifying the identity of each person in the vehicle and obtaining an identity identification result;

[0007] Obtaining personalized information and / or vehicle status information corresponding to each occupant of the vehicle, identifying the personalized information to obtain a personalized identification result, and / or identifying the vehicle status information to obtain a vehicle condition identification result;

[0008] Analyze the identity recognition results, personalized recognition results, and / or vehicle condition recognition results based on a preset large language model to generate target greetings for each occupant of the vehicle;

[0009] A target broadcasting timbre for broadcasting a target welcoming message corresponding to each person in the vehicle is determined, and the target welcoming message is broadcast based on the target broadcasting timbre.

[0010] A second aspect of an embodiment of the present disclosure provides a welcoming device, comprising:

[0011] A first identification module is used to identify the identity of each person in the vehicle in response to meeting a preset condition and obtain an identity identification result;

[0012] The second recognition module is used to obtain personalized information and / or vehicle status information corresponding to each occupant of the vehicle, identify the personalized information to obtain a personalized recognition result, and / or identify the vehicle status information to obtain a vehicle condition recognition result;

[0013] A welcome message generation module is used to analyze the identity recognition results, the personalization recognition results, and / or the vehicle condition recognition results based on a preset large language model to generate a target welcome message for each occupant of the vehicle;

[0014] The welcome message broadcast module is used to determine the target broadcast tone for broadcasting the target welcome message corresponding to each person in the car, and broadcast the target welcome message based on the target broadcast tone.

[0015] A third aspect of the present disclosure provides an electronic device, including:

[0016] processor;

[0017] a memory for storing executable instructions;

[0018] The processor is used to read executable instructions from the memory and execute the executable instructions to implement the welcoming method provided in the first aspect above.

[0019] A fourth aspect of an embodiment of the present disclosure provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, the processor implements the welcoming method provided by the first aspect above.

[0020] A fifth aspect of an embodiment of the present disclosure provides a vehicle, which includes the electronic device provided by the third aspect.

[0021] The technical solution provided by the embodiments of the present disclosure has the following advantages over the prior art:

[0022] The welcoming method, device, electronic device, storage medium, and vehicle provided by the embodiments of the present disclosure can, in response to meeting preset conditions, identify each person in the vehicle and obtain an identity recognition result; obtain personalized information and / or vehicle status information corresponding to each person in the vehicle, identify the personalized information, obtain a personalized recognition result, and / or identify the vehicle status information, obtain a vehicle condition recognition result; after obtaining the identity recognition result, personalized recognition result, and / or vehicle condition recognition result, analyze the identity recognition result, personalized recognition result, and / or vehicle condition recognition result based on a preset large language model to generate a target welcoming message corresponding to each person in the vehicle; after generating the target welcoming message corresponding to each person in the vehicle, determine the target broadcast timbre for broadcasting the target welcoming message corresponding to each person in the vehicle, and broadcast the target welcoming message based on the target broadcast timbre. Thus, the target welcoming message for each person in the vehicle can be generated based on the identity information, personalized information, and / or vehicle status information of each person in the vehicle through the preset large language model. That is, when generating the target welcoming message, the different characteristics of each person in the vehicle are taken into account. At the same time, when broadcasting the target welcome message, different target broadcast tones are used for different target welcome messages, which improves the accuracy and personalization of voice interaction, thereby improving the user's driving experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and, together with the description, serve to explain the principles of the present disclosure.

[0024] In order to more clearly illustrate the embodiments of the present disclosure or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0025] Figure 1 is a flow chart of a welcoming method provided by an embodiment of the present disclosure;

[0026] Figure 2 is a schematic diagram of an application scenario provided by an embodiment of the present disclosure;

[0027] Figure 3 1 is a structural diagram of a welcoming device provided by an embodiment of the present disclosure;

[0028] Figure 4 It is a structural diagram of an electronic device provided by an embodiment of the present disclosure. DETAILED DESCRIPTION

[0029] In order to more clearly understand the above-mentioned objectives, features and advantages of the present disclosure, the scheme of the present disclosure will be further described below. It should be noted that the embodiments of the present disclosure and the features therein can be combined with each other in the absence of conflict.

[0030] In the following description, many specific details are set forth to facilitate a full understanding of the present disclosure, but the present disclosure may also be implemented in other ways different from those described herein; it is obvious that the embodiments in the specification are only part of the embodiments of the present disclosure, rather than all of the embodiments.

[0031] It should be understood that the various steps described in the method embodiments of the present disclosure may be performed in different orders and / or in parallel. In addition, the method embodiments may include additional steps and / or omit the steps shown. The scope of the present disclosure is not limited in this respect.

[0032] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article, or device comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or elements inherent to such process, method, article, or device. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of other identical elements in the process, method, article, or device comprising the element.

[0033] It should be noted that the modifications of "one" and "multiple" mentioned in the present disclosure are illustrative rather than restrictive, and those skilled in the art should understand that unless otherwise clearly indicated in the context, they should be understood as "one or more".

[0034] Existing in-car voice systems have significantly improved driving convenience. However, these systems currently only provide a standardized voice interaction experience, employing a uniform service model and response method for all users. Therefore, to enhance the driving experience, providing voice interactions tailored to the individual user needs has become a pressing technical challenge. To address this issue, the present disclosure provides a guest welcome method, which is described below with reference to specific examples.

[0035] Figure 1This is a flow chart of a welcoming method provided by an embodiment of the present disclosure. The method can be executed by a welcoming device, which can be implemented in software and / or hardware. The welcoming device can be configured in an electronic device, such as a server or a terminal, wherein the terminal specifically includes a vehicle-mounted terminal, a mobile phone, a computer or a tablet computer. In addition, the method can be applied to Figure 2 The application scenario shown includes an automobile cloud service platform 10 and an electronic device 20. It can be understood that the welcoming method provided in the embodiment of the present disclosure can also be applied in other scenarios.

[0036] like Figure 2 As shown, the automotive cloud service platform 10 and the electronic device 20 can communicate via wireless communication methods such as 4G networks and 5G networks. The electronic device 20 can upload data to the automotive cloud service platform 10, which will classify and manage the data. At the same time, the automotive cloud service platform 10 can also send the data uploaded by the electronic device 20 to the AI voice personality model for training and processing to optimize the performance of the AI voice personality model.

[0037] In the disclosed embodiment, the automobile cloud service platform 10 includes an account database, vehicle-side data management, and an AI voice personality model.

[0038] The account database can be used to store and manage account data. Account data management can be done in a categorized manner. Account data can be understood as the account information of individuals registered on the vehicle side.

[0039] Vehicle-side data management can be used to manage vehicle-side data, including service management, vehicle log management, user management, vehicle management, and personalized data cycle management.

[0040] The AI voice personality model can be used to generate personalized welcome messages and recommended content. Specifically, this can include analyzing and processing relevant data such as service management, date and anniversary recognition, travel data analysis and processing, personalized welcome databases, and AI growth cycle management to generate personalized welcome messages and recommended content.

[0041] In the embodiment of the present disclosure, the electronic device 20 may be a smart car domain controller or a vehicle-mounted terminal, etc., without limitation. The electronic device 20 may perform information entry, collection, recognition, voice broadcasting, and synthesis of the vehicle occupant.

[0042] The electronic device 20 may include a driver and passenger identification module, a date identification module, a speech synthesis module, a communication module, an intelligent processing module, a user information storage module, and a vehicle-side audio interface calling module.

[0043] The driver and passenger identification module can be used to identify the identity account information of the driver and passenger, such as the nickname of the driver and passenger, the relationship between the passenger and the driver, etc.

[0044] The date recognition module can be used to automatically identify and match corresponding holidays, vacations, personal anniversaries, etc. based on the stored user data and the current date.

[0045] The speech synthesis module can be used to convert the welcome message generated by combining the driver and passenger identity information, personalized information, travel route information, weather information and other information as well as the content transmitted by the intelligent processing module into speech output.

[0046] The communication module can be used for communication and data transmission between the electronic device 20 and the automobile cloud service platform 10 .

[0047] The intelligent processing module can be used to receive information from the driver and passenger identification module and the date identification module, select content related to the information from the database, and transmit it to the speech synthesis module.

[0048] The user information storage module can be used to store and record the driver's account information and personalized information.

[0049] The vehicle-side audio interface call can be used to call the audio interface for voice broadcast.

[0050] The electronic device may also include a travel route recognition module and a weather recognition module. The travel route recognition module can intelligently recommend the optimal travel route based on the vehicle owner's specified destination, taking into account factors such as traffic conditions and road conditions. The system also uses this route information to retrieve and extract information about scenery, shops, and other related information along the way. The weather recognition module can identify the current weather conditions and provide weather alerts.

[0051] The following combination Figure 2 The application scenario shown is Figure 1 The welcoming method shown is introduced, for example, Figure 2 The electronic device 20 in the embodiment can perform the method. Figure 1 As shown, the welcoming method provided in this embodiment includes the following steps.

[0052] S110 . In response to a preset condition being met, perform identity recognition on each person in the vehicle to obtain an identity recognition result.

[0053] In the embodiment of the present disclosure, the preset conditions may include detecting that someone has boarded the vehicle and that the door signal corresponding to the boarding position is closed; it may also include receiving a welcoming instruction, etc.

[0054] In the embodiment of the present disclosure, the number of people in the vehicle may be one or more, specifically including a driver, or a driver and passengers.

[0055] In the disclosed embodiment, the identity recognition results may include the identity information of the people in the car, such as the car owner, the car owner's wife, children, the elderly, etc., and may also include the nickname information of the people in the car; it may also include the account information of the people in the car, etc., which is not limited here.

[0056] For example, when the person in the car is the driver, the identity recognition result is the driver's identity information or nickname information; when the person in the car is a passenger, the identity recognition result is the relationship between the passenger and the car owner.

[0057] Specifically, in response to a preset condition being met, the electronic device obtains at least one of image information, voiceprint information, and palm vein information corresponding to each occupant of the vehicle, and identifies each occupant based on the at least one of the image information, voiceprint information, and palm vein information to obtain an identification result. For example, if the occupant is the driver, the driver's identity is identified based on the palm vein information to obtain an identification result.

[0058] S120: Obtain personalized information and / or vehicle status information corresponding to each person in the vehicle, identify the personalized information to obtain a personalized identification result, and / or identify the vehicle status information to obtain a vehicle condition identification result.

[0059] In the embodiment of the present disclosure, personalized information may include one or more of calendar information, user travel path information, weather information, historical preference information, etc., which are not limited here.

[0060] The vehicle status information may include information related to the vehicle status, such as tire pressure information, vehicle location information, battery power information, fuel level, maintenance information, etc. It can be set according to the actual situation of the vehicle and the needs of the user, and is not limited here.

[0061] In the disclosed embodiment, personalized information can be obtained from a preset database based on the user's identity recognition results; it can also be obtained from a third-party database. Vehicle status information can be collected and obtained based on preset sensors in the vehicle, or it can be determined by inferring the vehicle's historical records.

[0062] In some embodiments of the present disclosure, the electronic device may obtain personalized information corresponding to each person in the vehicle after identifying the identity of each person in the vehicle, identify the personalized information, and obtain a personalized identification result.

[0063] In other embodiments of the present disclosure, the electronic device can obtain personalized information corresponding to each person in the vehicle after identifying the identity of each person in the vehicle, identify the personalized information, and obtain a personalized identification result; at the same time, determine whether to obtain vehicle status information based on the identity identification information of the person in the vehicle. When the identity identification information of the person in the vehicle indicates that the person in the vehicle is the driver, the vehicle status information is obtained, the vehicle status information is identified, and a vehicle condition identification result is obtained.

[0064] In some other embodiments of the present disclosure, the electronic device may obtain vehicle status information after identifying the identity of each person in the vehicle, identify the vehicle status information, and obtain a vehicle condition identification result.

[0065] S130: Analyze the identity recognition results, the personalized recognition results, and / or the vehicle condition recognition results based on a preset large language model to generate target greetings corresponding to each person in the vehicle.

[0066] In the embodiment of the present disclosure, the preset large language model can be a pre-trained large language model for generating a welcome phrase, such as Figure 2 The AI voice personality model shown.

[0067] In some embodiments of the present disclosure, after obtaining the personalized recognition results, the electronic device can input the identity recognition results and personalized recognition results corresponding to each person in the car into a preset large language model respectively, and the preset large language model analyzes the identity recognition results and personalized recognition results, and generates a target welcome message corresponding to each person in the car based on the analysis results.

[0068] In other embodiments of the present disclosure, after obtaining the personalized recognition results and the vehicle condition recognition results, the electronic device can input the identity recognition results, personalized recognition results and vehicle condition recognition results corresponding to each person in the car into a preset large language model respectively. The preset large language model analyzes the identity recognition results, personalized recognition results and vehicle condition recognition results, and generates a target welcome message corresponding to each person in the car based on the analysis results.

[0069] In some other embodiments of the present disclosure, after obtaining the vehicle condition recognition result, the electronic device can input the identity recognition result and vehicle condition recognition result corresponding to each person in the car into a preset large language model respectively, and the preset large language model analyzes the identity recognition result and vehicle condition recognition result, and generates a target welcome message corresponding to each person in the car based on the analysis result.

[0070] S140: Determine a target broadcast timbre for broadcasting a target welcome message corresponding to each person in the vehicle, and broadcast the target welcome message based on the target broadcast timbre.

[0071] In the embodiment of the present disclosure, the announcement tone can be understood as the tone used to announce the target greeting, such as a lolita voice, a baby voice, etc.

[0072] Specifically, after obtaining the target welcoming words, the electronic device can determine the target broadcast tone suitable for each person in the car based on the identity of each person in the car and / or the historical preferences of each person in the car, and then after determining the target broadcast tone, broadcast the target welcoming words to the person in the car based on the target broadcast factors.

[0073] In the embodiment of the present disclosure, in response to meeting a preset condition, the identity of each person in the vehicle can be identified to obtain an identity identification result; the personalized information and / or vehicle status information corresponding to each person in the vehicle can be obtained, the personalized information can be identified to obtain a personalized identification result, and / or the vehicle status information can be identified to obtain a vehicle condition identification result; after obtaining the identity identification result, the personalized identification result and / or the vehicle condition identification result, the identity identification result, the personalized identification result and / or the vehicle condition identification result are analyzed based on a preset large language model to generate a target welcome message corresponding to each person in the vehicle; after generating the target welcome message corresponding to each person in the vehicle, a target broadcast tone for broadcasting the target welcome message corresponding to each person in the vehicle is determined, and the target welcome message is broadcast based on the target broadcast tone. Thus, the target welcome message for each person in the vehicle can be generated based on the identity information, personalized information and / or vehicle status information of each person in the vehicle through the preset large language model. That is, when generating the target welcome message, the different characteristics of each person in the vehicle are taken into account. At the same time, when broadcasting the target welcome message, different target broadcast tones are used for different target welcome messages, which improves the accuracy and personalization of voice interaction, thereby improving the user's driving experience.

[0074] Based on the above-mentioned embodiments of the present disclosure, identity recognition is performed on each person in the vehicle to obtain an identity recognition result, which may specifically include: when the person in the vehicle is a driver, identity recognition is performed based on at least one of the driver's image information, voiceprint information, and palm vein information, and the first account information corresponding to the driver is obtained; when the person in the vehicle is a passenger, identity recognition is performed based on the passenger's image information and / or voiceprint information, and the second account information corresponding to the passenger is obtained; and the identity recognition result is obtained based on the first account information and / or the second account information.

[0075] In the disclosed embodiment, the account information may include the account name, identity information of the person corresponding to the account, image information and / or voiceprint information and / or palm vein information, nickname, age, gender, address information, historical preference information (such as seat position, air conditioning wind direction and volume, favorite songs, etc.), anniversary information, personal relationship information with the car owner, etc.

[0076] Specifically, the electronic device can determine the location information of each person in the vehicle in response to meeting a preset condition. When the location information of the person in the vehicle is the driver's location, the person in the vehicle is determined to be the driver. In this case, the electronic device obtains the driver's image information based on a first image sensor in the vehicle, and / or collects the voiceprint information of the person in the vehicle based on a first audio sensor in the vehicle; and / or collects the palm vein information of the person in the vehicle based on a palm vein sensor in the vehicle; matches at least one of the image information, voiceprint information, and palm vein information corresponding to the person in the vehicle with information in a preset database, determines account information that successfully matches the image information, voiceprint information, and / or palm vein information, and determines the account information as the first account information corresponding to the driver. When the person in the vehicle is determined to be a passenger, the electronic device obtains the driver's image information based on a second image sensor in the vehicle, and / or collects the voiceprint information of the person in the vehicle based on a second audio sensor in the vehicle; matches the image information and / or voiceprint information of the person in the vehicle with information in a preset database, determines account information that successfully matches the image information and / or voiceprint information, and determines the account information as the second account information corresponding to the passenger.

[0077] Furthermore, after obtaining the account information corresponding to each person in the car, the electronic device extracts key identity-related information used to generate a welcome message from the first account information and / or the second account information based on preset information extraction rules, and determines the key information as the identity recognition result.

[0078] In the embodiment of the present disclosure, when the occupants in the vehicle include only the driver, the identity recognition result is obtained based on the first account information; when the occupants in the vehicle include only passengers, the identity recognition result is obtained based on the second account information; when the occupants in the vehicle include both the driver and passengers, the identity recognition result is obtained based on the first account information and the second account information.

[0079] When there is only one image sensor and one audio sensor in the vehicle, the first image sensor and the second image sensor are the same; the first audio sensor and the second audio sensor are the same.

[0080] When there are multiple image sensors and multiple audio sensors in the vehicle, the first image sensor and the second image sensor are image sensors corresponding to the position information of the person in the vehicle; the first audio sensor and the second audio sensor are audio sensors corresponding to the position information of the person in the vehicle. For example, the first image sensor and the first audio sensor are image sensors and audio sensors located at the driver's position, respectively; when the passenger's position information is the left rear seat, the second image sensor and the second audio sensor are image sensors and audio sensors located at the left rear seat, respectively.

[0081] In some examples, when no account information matching the person in the car is found, an account registration guide item is displayed to the person in the car, so that the person in the car can complete the account registration according to the account registration guide item and store the account information.

[0082] In the disclosed embodiments, it is possible to determine whether the occupant is the driver or passenger based on their boarding location. If the occupant is the driver, identification can be performed not only based on image and voiceprint information, but also through palm vein information, improving the flexibility of identification. Furthermore, the occupant's account information can be obtained, and further information about the occupant can be obtained from this account information. This information can then be used to generate an identification result, improving the richness of the identification result and the accuracy of identification.

[0083] In an embodiment of the present disclosure, the personalized information includes at least one of calendar information, user travel path information, and weather information.

[0084] The calendar information may include information such as the user's anniversaries, holidays, etc.

[0085] The user's travel path information may include the user's current travel path information, and may also include the user's historical travel path information.

[0086] Weather information may include temperature information, humidity information, weather warning information, and weather status information.

[0087] In the disclosed embodiment, the user characteristics corresponding to different occupants of the vehicle can be determined through personalized information, thereby ensuring that the generated target greeting is more closely matched with the user characteristics, thereby improving the user experience.

[0088] In an embodiment of the present disclosure, personalized information is identified to obtain a personalized identification result, which may specifically include: identifying calendar information to determine whether it is a personal anniversary and / or holiday to obtain a date identification result; and / or identifying user travel path information to determine the road condition information and recommended information corresponding to the travel path information, and determining the road condition information and recommended information as a path identification result; and / or identifying weather information to determine weather conditions and weather reminder information, and determining the weather conditions and weather reminder information as a weather identification result; and determining the date identification result and / or the path identification result and / or the weather identification result as a personalized identification result.

[0089] Specifically, after obtaining the personalized information of each occupant, the electronic device identifies the calendar information in the personalized information for each occupant and, based on the calendar information, determines whether the current date is a personal anniversary and / or holiday for the occupant, thereby obtaining a date recognition result. Holidays include statutory holidays and user-marked holidays. Personal anniversaries include birthdays, wedding anniversaries, and the like, without limitation. Furthermore, the electronic device identifies the user's travel route information, determines road condition information and recommended information corresponding to the travel route information, and determines the road condition information and recommended information as the route recognition result. Furthermore, the electronic device identifies weather information, determines the current weather conditions (e.g., sunny, overcast, cloudy, rainy, etc.), and generates weather reminder information based on the current weather and warning information. The weather reminder information may include one or more of a dress reminder, a dust reminder, an umbrella reminder, a slippery road reminder, and the like.

[0090] In some examples, the user's travel path information is identified, the road condition information and recommended information corresponding to the travel path information are determined, and the road condition information and recommended information are determined as the path identification result. Specifically, it may include: in response to the user inputting new travel path information, based on the starting position and end position corresponding to the travel path information, combined with traffic conditions, road condition information and other factors, intelligently recommending the best route; at the same time, according to the best route corresponding to the travel path information, determining the scenery, shops and other information along the way, and determining the best route, scenery, shops and other information as the path identification result.

[0091] In some examples, identifying user travel route information, determining road condition information and recommended information corresponding to the travel route information, and determining the road condition information and recommended information as the route identification result may specifically include: obtaining the user's historical travel routes, combining factors such as traffic conditions and road condition information, and determining the road condition information of the historical travel routes as the route identification result when no new travel route information is input by the user. The road condition information may include whether the historical travel routes were congested, and if so, the corresponding congestion time and congestion cause.

[0092] In the disclosed embodiment, the personalized characteristics of the user can be determined based on at least one personalized information among calendar information, user travel path information and weather information, and personalized welcome and blessings can be conveyed to the people in the car on special days such as the user's holidays or anniversaries. At the same time, the travel path information, weather information and other information closely related to the user's travel can be combined with the people in the car to provide some warm reminders and recommendations to the people in the car, thereby improving the user's travel experience.

[0093] In the embodiment of the present disclosure, the vehicle status information is identified to obtain a vehicle condition identification result, which may specifically include: identifying the vehicle status information, determining the vehicle's operating status information, fault and maintenance information, and determining the operating status information and / or fault and maintenance information as the vehicle condition identification result.

[0094] In the embodiment of the present disclosure, the operating status information may include information such as normal vehicle operation, abnormal vehicle operation, etc.

[0095] Fault and maintenance information may include information such as the function item where the vehicle malfunctioned, the fault solution, the date of maintenance, and nearby maintenance shops.

[0096] Specifically, after obtaining the vehicle status information, the electronic device can identify the vehicle status information, determine whether various indicators related to the vehicle's operating status are normal, and obtain operating status information. When it is determined that there are abnormal indicators, the electronic device can generate vehicle fault information based on the abnormal indicators and provide a fault solution based on the fault information. At the same time, the electronic device can identify the vehicle's maintenance information to determine whether the vehicle has arrived or is about to arrive at the next maintenance time. If so, the electronic device can determine the information of nearby repair and maintenance shops and obtain fault and maintenance information.

[0097] In some embodiments of the present disclosure, the electronic device can identify the vehicle status after obtaining the vehicle status information. When it is determined that various indicators related to the vehicle operating status are normal, it determines that the vehicle operating status information is that the vehicle is operating normally, and determines it as the vehicle condition identification result.

[0098] In other embodiments of the present disclosure, the electronic device can identify the vehicle status after obtaining the vehicle status information, and when it is determined that at least one indicator related to the vehicle operating status is abnormal, determine the vehicle operating status information as vehicle operation abnormality, determine the fault and maintenance information based on the abnormal indicator, and determine the vehicle operation abnormality and / or fault and maintenance information as the vehicle condition identification result.

[0099] In the disclosed embodiments, vehicle operating status information, fault information, and maintenance information can be obtained based on the vehicle's operating status and conveyed to occupants via a welcome message. This allows occupants to promptly understand the vehicle's operating status and, when a fault occurs, promptly identify the problem and take appropriate action, thereby improving driving safety. Furthermore, maintenance information prompts allow occupants to promptly access maintenance-related information, making maintenance more convenient and further enhancing the user experience.

[0100] In an embodiment of the present disclosure, identity recognition results, personalized recognition results and / or vehicle condition recognition results are analyzed based on a preset large language model to generate target welcome words corresponding to each person in the car. Specifically, it may include: when the person in the car is a driver, the identity recognition results, personalized recognition results and vehicle condition recognition results are input into the preset large language model, and the preset large language model generates the target welcome words based on preset generation rules.

[0101] When the person in the car is a passenger, the identity recognition result and the personalized recognition result are input into a preset large language model, and the preset large language model generates a target welcome message based on preset generation rules.

[0102] In the embodiment of the present disclosure, the preset generation rules can be understood as the rules set in advance for generating the recommendation words, which can specifically include the weights and priorities of various features for generating the welcome words, the generation logic of the welcome words, and other information.

[0103] Specifically, after obtaining the identity recognition result, the personalized recognition result, and / or the vehicle condition recognition result, the electronic device determines the identity of the person in the vehicle. When the person in the vehicle is the driver, the identity recognition result, the personalized recognition result, and the vehicle condition recognition result are input into a preset large language model. The preset large language model extracts features from the identity recognition result, the personalized recognition result, and the vehicle condition recognition result to obtain the first key features corresponding to the identity recognition result, the personalized recognition result, and the vehicle condition recognition result, respectively. After obtaining the first key features, the electronic device determines the weight and priority information of each first key feature according to the preset generation rules, and generates the target welcome message based on the weight and priority information of each first key feature. As a result, when the person in the vehicle is the driver, in order to enable the driver to understand more information related to the vehicle, the recognition result corresponding to the vehicle status information can be used as part of the generated target welcome message, so that the driver can drive with an understanding of the vehicle, thereby improving driving safety.

[0104] When the person in the car is a passenger, the identity recognition result and the personalized recognition result are input into a preset large language model, and the preset large language model performs feature extraction on the identity recognition result and the personalized recognition result to obtain multiple second key features. After obtaining the second key features, the weight and priority information of each second key feature are determined according to the preset generation rules, and then the target welcome words are generated based on the weight and priority information of each second key feature. In this way, when the person in the car is a passenger, a welcome word can be generated based on the personalized information related to the passenger, thereby reducing unnecessary prompts and improving the generation efficiency of the target welcome word.

[0105] For example, the target greeting could be: "Good morning, Mr. XX, the owner of the car! Today is XX / XX / XX, a statutory holiday / XX anniversary! You and your family—Grandpa XX, your child XX, and your wife XX—welcome aboard our smart car. We've recommended an optimal route for you. Along the way, you'll enjoy the beautiful scenery of scenic spot XX and visit store XX, which has many unique products! We wish you and your family a pleasant journey!"

[0106] In the disclosed embodiment, different information can be used to generate a target welcome message according to the different identities of the people in the car, which further improves the flexibility and adaptability of generating the target welcome message.

[0107] In the embodiment of the present disclosure, a target broadcast tone for broadcasting a target welcome message corresponding to each person in the vehicle is determined, and the target welcome message is broadcast based on the target broadcast tone. Specifically, it may include: for each person in the vehicle, obtaining the target account information of the person in the vehicle, and determining the target broadcast tone for broadcasting the target welcome message corresponding to the person in the vehicle based on the identity information and target account information of the person in the vehicle; and based on the order in which each person in the vehicle gets on the vehicle, broadcasting the target welcome message corresponding to each person in the vehicle in turn based on the target broadcast tone.

[0108] In some embodiments of the present disclosure, the electronic device can obtain the target account information of each person in the car, determine the favorite tone of the person in the car based on the identity information and target account information of the person in the car, and determine the tone as the target broadcast tone. After determining the target broadcast tone, based on the order in which the people in the car get on the car, the target welcome message corresponding to each person in the car is broadcast in turn based on the target broadcast tone.

[0109] In some embodiments of the present disclosure, the electronic device can obtain the target account information of each occupant of the vehicle, and based on the identity information and target account information of the occupant of the vehicle, determine the timbre that matches the identity of the occupant of the vehicle, wherein the timbre is the timbre of a family member that makes the occupant of the vehicle feel comfortable. The timbre is determined as the target broadcast timbre. After determining the target broadcast timbre, the target welcome message corresponding to each occupant of the vehicle is broadcasted in sequence based on the target broadcast timbre based on the order in which the occupants board the vehicle. For example, when broadcasting the target welcome message to a child, the timbre corresponding to the child's mother's voiceprint is used to broadcast the target welcome message to improve the affinity of the voice broadcast.

[0110] In some embodiments of the present disclosure, the electronic device can determine the tone corresponding to the selection operation of each occupant of the vehicle from a preset database based on the selection operation of the occupant, and determine the tone as the target broadcast tone. After determining the target broadcast tone, based on the order in which the occupants of the vehicle get on the vehicle, the target welcome message corresponding to each occupant of the vehicle is broadcast in turn based on the target broadcast tone.

[0111] In an embodiment of the present disclosure, before the electronic device broadcasts the target welcome words corresponding to each person in the car based on the target broadcast tone based on the order in which each person in the car gets on the car, the welcoming method may also include: obtaining at least one of the door switch signal, the seat pressure sensor signal and the image information collected by the in-car cabin camera; determining the order in which each person in the car gets on the car based on at least one of the door switch signal, the seat pressure sensor and the image information collected by the in-car cabin camera.

[0112] The door switch signal may be obtained based on one or more of a Hall sensor, an infrared sensor, and a door lock status sensor provided on the door, and is used to indicate whether the door is opened or closed.

[0113] The seat pressure sensor signal may be a signal obtained based on a pressure sensor provided on the seat and used to indicate whether there is someone sitting on the seat.

[0114] The number of cabin cameras in the car can be one camera installed on the front side of the cabin to collect image information of the entire cabin; or multiple cameras can be installed according to different seat areas, with each camera collecting image information of the corresponding seat area.

[0115] In some embodiments of the present disclosure, the electronic device may determine the order in which occupants at various vehicle door positions are to board the vehicle based on the order in which the first trigger times corresponding to the door switch signals are triggered. For example, when the number of occupants in the vehicle is four or fewer and each occupant boards the vehicle at a different door position, the order in which the occupants are to board the vehicle is determined based on the order in which the first trigger times corresponding to the door switch signals are triggered.

[0116] In other embodiments of the present disclosure, the electronic device may determine the order in which occupants at various positions in the vehicle board the vehicle based on the order of the second triggering times corresponding to the seat pressure sensor signals.

[0117] In some other embodiments of the present disclosure, the electronic device may determine the order in which each person in the vehicle gets on the vehicle based on the time sequence in which each person enters the image screen corresponding to the image information captured by the in-vehicle cabin camera.

[0118] In some other embodiments of the present disclosure, the electronic device can determine the order in which people in the vehicle get on the vehicle based on at least two of the order of first trigger times corresponding to each door switch signal, the order of second trigger times corresponding to the seat pressure sensor signal, and the time sequence of each person entering the image screen corresponding to the image information in the image information captured by the cabin camera inside the vehicle. In this way, the order in which people in the vehicle get on the vehicle can be determined by combining multiple information, further improving the accuracy of determining the order in which people in the vehicle get on the vehicle.

[0119] In the disclosed embodiment, the target welcome words can be broadcast in sequence according to the order in which the people in the car get on the car, and the welcome words that match each person in the car can be broadcast. At the same time, the target broadcast tone that makes the user comfortable can be determined according to the user's preferences, identity information, selection operations, etc., so as to broadcast the target welcome words, further improving the user's comfort and experience.

[0120] In an embodiment of the present disclosure, the welcoming method may further include: when broadcasting the target welcoming words based on the target broadcast tone, determining the target interactive expression corresponding to the target welcoming words; and controlling the voice assistant robot to interact with the user based on the target interactive expression.

[0121] In some embodiments of the present disclosure, when broadcasting a target welcome message, the electronic device can determine the corresponding target interactive expression based on the information in the target welcome message, such as weather information, vehicle status information, anniversary information, etc., control the voice assistant robot to display the target interactive expression, and display it on the screen to interact with the user.

[0122] In other embodiments of the present disclosure, the electronic device can obtain the facial expression information of the person in the car when broadcasting the target welcome message, determine the corresponding target interactive expression based on the facial expression information of the person in the car and the information in the target welcome message, control the voice assistant robot to display the target interactive expression, and display it on the screen to interact with the user.

[0123] For example, when the weather condition is rainy, when the greeting words related to the weather condition are broadcast, the voice assistant robot displays an expression of holding an umbrella to interact with the user.

[0124] In the disclosed embodiment, when the target welcome message is broadcast, the target interactive expression can be determined according to the relevant information in the target welcome message to interact with the user, thereby improving the fun of the welcome message broadcast and the user's interactive experience.

[0125] In the disclosed embodiment, the welcoming method may further include: obtaining the account information of the occupants of the vehicle, and after obtaining the account information of the occupants of the vehicle, controlling the vehicle to adjust the seats and vehicle-related functions based on the historical preference information in the account information.

[0126] For example, the electronic device can automatically adjust the seat position of the occupant based on the historical adjustment information of the seat position by the occupant.

[0127] In the disclosed embodiment, the vehicle can be controlled to adjust relevant functions based on the historical preference information of the occupants, and the user's needs can be met without the occupants having to do anything, thereby improving the user's riding experience.

[0128] In the disclosed embodiment, the electronic device can also receive feedback from passengers or users within the vehicle. Based on this feedback, the electronic device can optimize a pre-set large language model to improve the accuracy of the target greeting generated by the pre-set large language model. Furthermore, the electronic device can also expand on information such as facial expressions and timbre in a pre-set database based on this feedback, further enhancing user experience.

[0129] Figure 3 It is a structural schematic diagram of a welcoming device provided in an embodiment of the present disclosure.

[0130] In the disclosed embodiment, the welcoming device can be provided in an electronic device and can be understood as a functional module of the electronic device. Specifically, the electronic device can be a server or a terminal, wherein the terminal specifically includes a mobile phone, a computer, or a tablet computer, etc., which is not limited here.

[0131] like Figure 3 As shown, the welcoming device 300 may include a first recognition module 310 , a second recognition module 320 , a welcoming speech generating module 330 and a welcoming speech announcing module 340 .

[0132] The first identification module 310 can be used to identify the identity of each person in the vehicle in response to meeting a preset condition and obtain an identity identification result.

[0133] The second identification module 320 can be used to obtain personalized information and / or vehicle status information corresponding to each person in the vehicle, identify the personalized information to obtain a personalized identification result, and / or identify the vehicle status information to obtain a vehicle condition identification result.

[0134] The welcome message generation module 330 can be used to analyze the identity recognition results, the personalized recognition results and / or the vehicle condition recognition results based on a preset large language model, and generate target welcome messages corresponding to each person in the vehicle.

[0135] The welcoming message broadcasting module 340 may be configured to determine a target broadcasting tone for broadcasting a target welcoming message corresponding to each person in the vehicle, and broadcast the target welcoming message based on the target broadcasting tone.

[0136] In the embodiment of the present disclosure, in response to meeting a preset condition, the identity of each person in the vehicle can be identified to obtain an identity identification result; the personalized information and / or vehicle status information corresponding to each person in the vehicle can be obtained, the personalized information can be identified to obtain a personalized identification result, and / or the vehicle status information can be identified to obtain a vehicle condition identification result; after obtaining the identity identification result, the personalized identification result and / or the vehicle condition identification result, the identity identification result, the personalized identification result and / or the vehicle condition identification result are analyzed based on a preset large language model to generate a target welcome message corresponding to each person in the vehicle; after generating the target welcome message corresponding to each person in the vehicle, a target broadcast tone for broadcasting the target welcome message corresponding to each person in the vehicle is determined, and the target welcome message is broadcast based on the target broadcast tone. Thus, the target welcome message for each person in the vehicle can be generated based on the identity information, personalized information and / or vehicle status information of each person in the vehicle through the preset large language model. That is, when generating the target welcome message, the different characteristics of each person in the vehicle are taken into account. At the same time, when broadcasting the target welcome message, different target broadcast tones are used for different target welcome messages, which improves the accuracy and personalization of voice interaction, thereby improving the user's driving experience.

[0137] In some embodiments of the present disclosure, the first identification module 310 may be specifically configured to, when the person in the vehicle is the driver, perform identity recognition based on at least one of the driver's image information, voiceprint information, and palm vein information, and obtain the driver's corresponding first account information;

[0138] When the person in the vehicle is a passenger, identity recognition is performed based on the passenger's image information and / or voiceprint information, and the passenger's corresponding second account information is obtained;

[0139] An identity recognition result is obtained based on the first account information and the second account information.

[0140] In some embodiments of the present disclosure, the personalized information includes at least one of calendar information, user travel path information, and weather information.

[0141] The second recognition module 320 may be specifically configured to recognize calendar information, determine whether it is a personal anniversary and / or holiday, and obtain a date recognition result;

[0142] and / or;

[0143] Identify the user's travel path information, determine the road condition information and recommended information corresponding to the travel path information, and determine the road condition information and recommended information as the path identification result;

[0144] and / or;

[0145] Identify weather information, determine weather conditions and weather reminder information, and determine the weather conditions and weather reminder information as weather identification results;

[0146] The date recognition result and / or the route recognition result and / or the weather recognition result are determined as personalized recognition results.

[0147] In some embodiments of the present disclosure, the second identification module 320 can also be specifically used to identify vehicle status information, determine the vehicle's operating status information, fault and maintenance information, and determine the operating status information and / or fault and maintenance information as the vehicle condition identification result.

[0148] In some embodiments of the present disclosure, the welcome message generation module 330 may be specifically configured to input the identity recognition result, the personalization recognition result, and the vehicle condition recognition result into a preset large language model when the occupant of the vehicle is the driver. The preset large language model generates a target welcome message based on preset generation rules.

[0149] When the person in the car is a passenger, the identity recognition result and the personalized recognition result are input into a preset large language model, and the preset large language model generates a target welcome message based on preset generation rules.

[0150] In some embodiments of the present disclosure, the welcome message broadcast module 340 may be specifically configured to obtain target account information of each occupant of the vehicle, and determine a target broadcast tone for broadcasting the target welcome message corresponding to the occupant based on the occupant's identity information and target account information.

[0151] Based on the order in which the people in the car get on the car, the target welcome message corresponding to each person in the car is broadcast in turn based on the target broadcast tone.

[0152] In some embodiments of the present disclosure, the welcoming device 300 may further include an expression interaction module.

[0153] The expression interaction module can be used to determine a target interactive expression corresponding to the target welcoming phrase when the target welcoming phrase is broadcast based on the target broadcast tone;

[0154] Control the voice assistant robot to interact with the user based on the target interactive expression.

[0155] It should be noted that Figure 3 The welcoming device 300 shown can execute each step in the above method embodiment and realize each process and effect in the above method embodiment, which will not be described in detail here.

[0156] Figure 4 It is a structural diagram of an electronic device provided by an embodiment of the present disclosure.

[0157] In the embodiments of the present disclosure, Figure 4 The electronic device shown may be a server or a terminal, wherein the terminal specifically includes a mobile phone, a computer or a tablet computer, etc., which is not limited here.

[0158] like Figure 4 As shown, the electronic device may include a processor 410 and a memory 420 storing computer program instructions.

[0159] Specifically, the processor 410 may include a central processing unit (CPU), or an application specific integrated circuit (ASIC), or may be configured to implement one or more integrated circuits of the embodiments of the present disclosure.

[0160] The memory 420 may include a large capacity memory for information or instructions. By way of example and not limitation, the memory 420 may include a hard disk drive (HDD), a floppy disk drive, a flash memory, an optical disk, a magneto-optical disk, a magnetic tape, or a universal serial bus (USB) drive, or a combination of two or more of these. Where appropriate, the memory 420 may include removable or non-removable (or fixed) media. Where appropriate, the memory 420 may be inside or outside the integrated gateway device. In a specific embodiment, the memory 420 is a non-volatile solid-state memory. In a specific embodiment, the memory 420 includes a read-only memory (ROM). Where appropriate, the ROM may be a mask-programmed ROM, a programmable ROM (PROM), an erasable PROM (EPROM), an electrically erasable PROM (EEPROM), an electrically alterable ROM (EAROM) or flash memory, or a combination of two or more of these.

[0161] The processor 410 reads and executes the computer program instructions stored in the memory 420 to perform the steps of the welcoming method provided in the embodiment of the present disclosure.

[0162] In one example, the electronic device may further include a transceiver 430 and a bus 440. Figure 4 As shown, the processor 410 , the memory 420 and the transceiver 430 are connected via a bus 440 and communicate with each other.

[0163] The bus 440 includes hardware, software, or both. By way of example and not limitation, the bus may include an Accelerated Graphics Port (AGP) or other graphics bus, an Extended Industry Standard Architecture (EISA) bus, a Front Side Bus (FSB), a Hyper Transport (HT) interconnect, an Industrial Standard Architecture (ISA) bus, an InfiniBand interconnect, a Low Pin Count (LPC) bus, a memory bus, a Micro Channel Architecture (MCA) bus, a Peripheral Component Interconnect (PCI) bus, a PCI-Express (PCI-X) bus, a Serial Advanced Technology Attachment (SATA) bus, a Video Electronics Standards Association Local Bus (VLB) bus, or other suitable buses, or a combination of two or more of these. Where appropriate, the bus 440 may include one or more buses.

[0164] The embodiment of the present disclosure further provides a computer-readable storage medium, which may store a computer program. When the computer program is executed by a processor, the processor implements the welcoming method provided by the embodiment of the present disclosure.

[0165] The aforementioned storage medium may, for example, include a memory 420 of computer program instructions, and the aforementioned instructions may be executed by the processor 410 of the electronic device to implement the welcoming method provided in the embodiment of the present disclosure. Alternatively, the storage medium may be a non-transitory computer-readable storage medium, such as a ROM, a random access memory (RAM), a compact disc read-only memory (CD-ROM), a magnetic tape, a floppy disk, or an optical data storage device.

[0166] The embodiments of the present disclosure further provide a vehicle, which includes electronic equipment and can implement the various processes and effects in the above embodiments of the present disclosure, which will not be described in detail here.

[0167] The embodiments of the present disclosure also provide a computer program product, which includes a computer program or instructions. When the computer program or instructions are executed by a processor, the welcoming method provided by the embodiments of the present disclosure is implemented, and the various processes and effects in the above-mentioned embodiments of the present disclosure can be implemented, which will not be repeated here.

[0168] The foregoing description is intended only to provide specific embodiments of the present disclosure, intended to enable those skilled in the art to understand and implement the present disclosure. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present disclosure. Therefore, the present disclosure is not intended to be limited to the embodiments described herein, but rather to be construed in the broadest manner consistent with the principles and novel features disclosed herein.

Claims

1. A welcoming method, characterized in that: include: In response to meeting the preset conditions, identifying the identity of each person in the vehicle and obtaining an identity identification result; Obtaining personalized information and / or vehicle status information corresponding to each occupant of the vehicle, identifying the personalized information to obtain a personalized identification result, and / or identifying the vehicle status information to obtain a vehicle condition identification result; Analyzing the identity recognition result, the personalized recognition result, and / or the vehicle condition recognition result based on a preset large language model to generate target greetings corresponding to each occupant of the vehicle; A target announcement tone for announcing a target welcoming message corresponding to each person in the vehicle is determined, and the target welcoming message is announced based on the target announcement tone.

2. The method according to claim 1, characterized in that The identification of each person in the vehicle is performed to obtain an identification result, including: When the person in the vehicle is the driver, identity recognition is performed based on at least one of the driver's image information, voiceprint information, and palm vein information, and the first account information corresponding to the driver is obtained; When the person in the vehicle is a passenger, identity recognition is performed based on the passenger's image information and / or voiceprint information, and the passenger's corresponding second account information is obtained; The identity recognition result is obtained based on the first account information and / or the second account information.

3. The method according to claim 1, characterized in that The personalized information includes at least one of calendar information, user travel path information, and weather information; The identifying the personalized information to obtain a personalized identification result includes: Identify calendar information to determine whether it is a personal anniversary and / or holiday, and obtain a date identification result; and / or; Identifying user travel path information, determining road condition information and recommended information corresponding to the travel path information, and determining the road condition information and the recommended information as a path identification result; and / or; Identify weather information, determine weather conditions and weather reminder information, and determine the weather conditions and weather reminder information as weather identification results; The date recognition result and / or the path recognition result and / or the weather recognition result are determined as the personalized recognition result.

4. The method according to claim 1, wherein The identifying of the vehicle status information to obtain a vehicle condition identification result includes: The vehicle status information is identified to determine the vehicle's operating status information, fault and maintenance information, and the operating status information and / or the fault and maintenance information are determined as the vehicle condition identification result.

5. The method according to claim 1, characterized in that The identity recognition result, the personalized recognition result and / or the vehicle condition recognition result are analyzed based on the preset large language model to generate target greeting words corresponding to each person in the vehicle, including: When the person in the vehicle is a driver, the identity recognition result, the personalized recognition result, and the vehicle condition recognition result are input into a preset large language model, and the preset large language model generates the target welcoming phrase based on preset generation rules; When the person in the vehicle is a passenger, the identity recognition result and the personalized recognition result are input into the preset large language model, and the preset large language model generates the target welcoming words based on preset generation rules.

6. The method according to claim 1, characterized in that The determining of a target broadcast timbre for broadcasting a target greeting message corresponding to each person in the vehicle, and broadcasting the target greeting message based on the target broadcast timbre, includes: For each person in the vehicle, obtaining target account information of the person in the vehicle, and determining a target broadcast tone for broadcasting a target welcome message corresponding to the person in the vehicle based on the identity information of the person in the vehicle and the target account information; Based on the order in which the people in the car get on the car, the target welcoming words corresponding to the people in the car are broadcasted in turn based on the target broadcast tone.

7. The method according to claim 1, characterized in that The method further comprises: When the target welcoming phrase is broadcast based on the target broadcast tone, a target interactive expression corresponding to the target welcoming phrase is determined; Control the voice assistant robot to interact with the user based on the target interactive expression.

8. A welcoming device, characterized in that: include: A first identification module is used to identify the identity of each person in the vehicle in response to meeting a preset condition and obtain an identity identification result; a second recognition module, configured to obtain personalized information and / or vehicle status information corresponding to each occupant of the vehicle, identify the personalized information to obtain a personalized recognition result, and / or identify the vehicle status information to obtain a vehicle condition recognition result; a welcome message generation module, configured to analyze the identity recognition result, the personalized recognition result, and / or the vehicle condition recognition result based on a preset large language model, and generate a target welcome message corresponding to each occupant of the vehicle; The welcome message broadcasting module is used to determine the target broadcasting tone for broadcasting the target welcome message corresponding to each person in the car, and broadcast the target welcome message based on the target broadcasting tone.

9. An electronic device, characterized in that: include: processor; a memory for storing executable instructions; The processor is configured to read the executable instructions from the memory and execute the executable instructions to implement the guest welcoming method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that The storage medium stores a computer program, and when the computer program is executed by a processor, the processor implements the guest welcoming method according to any one of claims 1 to 7.

11. A vehicle, characterized in that: Comprising the electronic device as claimed in claim 9.

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