Vehicle control method and system, storage medium, product, electronic equipment and vehicle

Abstract

The invention relates to a vehicle control method and system, a storage medium, a product, electronic equipment and a vehicle. The vehicle control method comprises the steps of obtaining a target preset scene matched with a current vehicle based on positioning data of the current vehicle; and controlling a preset function of the current vehicle according to the target preset scene. The method has the beneficial effects that diversified preset scenes can be recommended according to the region of the vehicle, so that the personalized driving experience of the user is enhanced.

Description

Technical Field

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

[0002] With the development of intelligent vehicles, custom scenes based on user or system settings are provided in related technologies. However, when users need to use the custom scene function of the vehicle, they can only choose manufacturer customization or manual custom editing scenes. This scene selection method is not intelligent enough and affects the user experience. Summary of the invention

[0003] Embodiments of the present application provide a vehicle control method, system, storage medium, product, electronic device and vehicle, which improve the diversity of vehicle preset scene recommendations to at least partially solve the above-mentioned technical problems.

[0004] In order to achieve the above object, according to a first aspect of the present application, a vehicle control method is provided, which is applied to a user terminal of a vehicle, and the vehicle control method includes:

[0005] Based on the positioning data of the current vehicle, obtaining a target preset scene matching the current vehicle;

[0006] According to the target preset scene, the preset function of the current vehicle is controlled.

[0007] Optionally, in some embodiments of the present application, the acquiring a target preset scene matching the current vehicle based on the positioning data of the current vehicle includes:

[0008] Upload the current vehicle's positioning data to the server;

[0009] Receive a target preset scene that matches the positioning data of the current vehicle and is sent by the server.

[0010] Optionally, in some embodiments of the present application, the target preset scenario is a control strategy or a template of a control strategy generated based on the settings of the user of the current vehicle or the users of other vehicles.

[0011] Optionally, in some embodiments of the present application, the target preset scene includes setting items and setting parameters that have a corresponding relationship with the positioning data and the preset function.

[0012] Optionally, in some embodiments of the present application, the setting items are configured as configurable items provided by a service layer and / or an application layer of a control system of the vehicle.

[0013] Optionally, in some embodiments of the present application, the setting parameters are configured as configurable parameters provided by a service layer and / or an application layer of a control system of the vehicle.

[0014] Optionally, in some embodiments of the present application, the application layer of the control system includes one or more of the following: an assisted driving system, a chassis system, an auxiliary power system, an optoelectronic system, an air-conditioning system, a media system, and a power system.

[0015] Optionally, in some embodiments of the present application, preset functions corresponding to the application layer of the control system are deployed on a central computing platform of the vehicle.

[0016] Optionally, in some embodiments of the present application, the preset functions corresponding to the service layer of the control system are deployed in the MCU or ECU of the vehicle.

[0017] Optionally, in some embodiments of the present application, the vehicle control method further includes:

[0018] A scene editing interface is outputted for the user of the current vehicle to set the editable scene, and the scene set by the user is obtained, wherein the editable scene includes a blank scene or a preset scene.

[0019] Optionally, in some embodiments of the present application, the vehicle control method further includes:

[0020] The scene set by the user is uploaded to the server.

[0021] Optionally, in some embodiments of the present application, before uploading the scene set by the user to the server, the vehicle control method further includes:

[0022] The scene set by the user is signed.

[0023] Optionally, in some embodiments of the present application, the control system of the current vehicle is based on a SOA architecture.

[0024] According to a second aspect of the present application, a vehicle control method is also provided, which is applied to a server, and the vehicle control method includes:

[0025] Receiving positioning data of the current vehicle uploaded by a user terminal of the current vehicle;

[0026] Determining a target preset scene matching the current vehicle according to the positioning data;

[0027] The target preset scene is sent to the user terminal of the current vehicle.

[0028] Optionally, in some embodiments of the present application, the step of determining a target preset scene matching the current vehicle according to the positioning data includes:

[0029] Perform collaborative filtering based on data of multiple preset scenarios to obtain a recommendation strategy including rankings among the multiple preset scenarios;

[0030] A target user corresponding to the target preset scenario of the positioning data is obtained according to the recommendation strategy, wherein the target user is a user corresponding to the user terminal that uploads the positioning data.

[0031] Optionally, in some implementations of the present application, the step of acquiring a target preset scenario corresponding to the target user and the positioning data according to the recommendation strategy includes:

[0032] A scene recommendation list is generated according to the recommendation strategy, wherein the scene recommendation list includes at least one target preset scene corresponding to the target user and the positioning data.

[0033] Optionally, in some embodiments of the present application, the vehicle control method further includes:

[0034] Data processing is performed on multiple original scenes uploaded by multiple users to obtain data of multiple preset scenes.

[0035] Optionally, in some embodiments of the present application, the step of performing data processing on a plurality of original scenes uploaded by a plurality of users to obtain data of a plurality of preset scenes includes:

[0036] Clustering multiple preset scenes uploaded by multiple users;

[0037] The multiple original scenes are grouped according to the result of the clustering process to obtain data of multiple preset scenes.

[0038] According to a third aspect of the present application, a vehicle control method is further provided, the vehicle control method comprising:

[0039] The user terminal of the current vehicle uploads the positioning data of the current vehicle to the server;

[0040] The server determines a preset scene matching the current vehicle according to the positioning data;

[0041] The server sends the preset scene to the user terminal of the current vehicle;

[0042] The user terminal of the current vehicle controls a preset function of the current vehicle according to the preset scenario.

[0043] According to a fourth aspect of the present application, a vehicle control system is further provided, the vehicle control system comprising:

[0044] The vehicle control system comprises:

[0045] The user terminal is used to upload the current vehicle positioning data to the server;

[0046] The server determines, according to the positioning data, a target preset scene that matches the current vehicle;

[0047] The server and the user terminal form data interaction to send the target preset scene to the user terminal of the current vehicle; the user terminal controls the preset function of the current vehicle according to the target preset scene.

[0048] According to a fifth aspect of the present application, a non-temporary computer-readable storage medium is also provided, on which a computer program is stored, and when the computer program is executed by a processor, the steps of the above-mentioned vehicle control method are implemented.

[0049] According to a sixth aspect of the present application, a computer program product is also provided, comprising a computer program, which implements the steps of the above-mentioned vehicle control method when executed by a processor.

[0050] According to a seventh aspect of the present application, there is provided an electronic device, comprising: a processor, configured to execute a computer program in a memory to implement the steps of the above method.

[0051] According to an eighth aspect of the present application, a vehicle is also provided, comprising the above-mentioned electronic device.

[0052] The beneficial effect of this application is that it can make scene recommendations based on the region where the vehicle is located, thereby improving the intelligence level of scene selection and optimizing the user's driving experience.

[0053] Other features and advantages of the present application will be described in detail in the subsequent detailed description. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present application, and those skilled in the art can obtain other drawings based on these drawings without creative work.

[0055] In order to more completely understand the present application and its beneficial effects, the following description will be given in conjunction with the accompanying drawings, wherein the same figure numbers represent the same parts in the following description.

[0056] Figure 1 It is a schematic diagram of the main steps of the vehicle control method (applied to a user terminal) provided in an exemplary embodiment of the present application;

[0057] Figure 2 yes Figure 1 Schematic diagram of specific steps;

[0058] Figure 3 is another partial step schematic diagram of the vehicle control method (applied to a user terminal) provided in an exemplary embodiment of the present application;

[0059] Figure 4 It is a schematic diagram of the main steps of the vehicle control method (applied to a server) provided in an exemplary embodiment of the present application;

[0060] Figure 5 yes Figure 4 Schematic diagram of specific steps;

[0061] Figure 6 is another partial step schematic diagram of the vehicle control method (applied to a server) provided in an exemplary embodiment of the present application;

[0062] Figure 7 It is a schematic diagram of the main steps of the vehicle control method (applied to a server and a user terminal) provided in an exemplary embodiment of the present application;

[0063] Figure 8 is a schematic diagram of an application scenario of a vehicle control method provided in an exemplary embodiment of the present application;

[0064] Fig. 9 is a schematic diagram of a control system provided in an exemplary embodiment of the present application;

[0065] Fig.10 It is a schematic diagram of a part of the implementation process provided in the exemplary embodiment of the present application;

[0066] Fig.11 is a schematic diagram of another part of the implementation process provided in the exemplary embodiment of the present application;

[0067] Fig.12 is a schematic diagram of the structure of an electronic device provided in an exemplary embodiment of the present application;

[0068] Fig.13 is a schematic diagram of a vehicle provided in an exemplary embodiment of the present application. DETAILED DESCRIPTION

[0069] The technical solutions in the embodiments of the present application will be described clearly and completely below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present application.

[0070] Reference Figure 1 As shown, as a first aspect of the present application, the present application provides a vehicle control method, which is applied to a user terminal of a vehicle (such as a vehicle-mounted PAD) and the like.

[0071] Reference Figure 1 As shown, the vehicle control method specifically includes:

[0072] S101: Based on the positioning data of the current vehicle, a target preset scene matching the current vehicle is obtained.

[0073] S102: Controlling preset functions of the current vehicle according to the target preset scenario.

[0074] By adopting such a solution, scene recommendations can be made based on the vehicle's location, which improves the intelligence of scene selection and optimizes the user's driving experience.

[0075] Reference Figure 2 As shown, in some implementations of the present application, step S101 specifically includes the following steps:

[0076] S1011: Upload the current vehicle's positioning data to the server.

[0077] S1012: Receive a target preset scene that matches the positioning data of the current vehicle and is sent by the server.

[0078] In some embodiments of the present application, the target preset scenario is a control strategy or a template of a control strategy generated based on settings of a user of the current vehicle or users of other vehicles.

[0079] The server can store a large number of original scenes uploaded by users. The set scene generated after the server processes the original scene and used to send the scene to the user is defined as a preset scene, and the preset scene actually sent to the user is defined as a target preset scene.

[0080] With such a solution, the preset scenes are derived from the original scenes set by the user rather than the preset templates of the server, which can greatly improve the richness and personalization of the preset scenes.

[0081] In some embodiments of the present application, the original scene, the preset scene and the target preset scene include setting items and setting parameters that correspond to the positioning data and the preset functions; the setting items are configured as configurable items provided by the service layer and / or application layer of the vehicle's control system; the setting parameters are configured as configurable parameters provided by the service layer and / or application layer of the vehicle's control system.

[0082] With this solution, users can directly set functions without having to explore the underlying control logic, which improves the operability of users setting preset scenes.

[0083] In some embodiments of the present application, the application layer of the control system includes one or more of the following: an assisted driving system, a chassis system, an auxiliary power system, an optoelectronic system, an air-conditioning system, a media system, and a power system.

[0084] With this solution, users can comprehensively set up various functions of the vehicle.

[0085] In some embodiments of the present application, the preset functions corresponding to the application layer of the control system are deployed on the central computing platform of the vehicle; the preset functions corresponding to the service layer of the control system are deployed on the MCU or ECU of the vehicle. In this way, the processing tasks of the vehicle's control system are effectively allocated, and the operating efficiency of the control system is improved.

[0086] Reference Figure 3 As shown, in some embodiments of the present application, the above-mentioned vehicle control method applied to the user terminal further includes the following steps:

[0087] S103: Outputting a scene editing interface for the user of the current vehicle to set an editable scene, and obtaining a scene set by the user. The editable scene includes a blank scene or a preset scene.

[0088] S104: Upload the scene set by the user to the server.

[0089] S105: Sign the scene set by the user.

[0090] By adopting such a solution, users can set scenes on a certain basis, and attach the user identity information of the scene setting while ensuring data security by adding signatures.

[0091] The vehicle control system (software system) adapted by the vehicle control method applied to the user terminal should be based on the SOA architecture, so that the preset factory can be realized from both the application layer and the service layer of the SOA architecture.

[0092] Reference Figure 4As shown, as the second aspect of the present application, the present application provides a vehicle control method, which is applied to a server, and the server can interact with the vehicle to form data through a communication network such as 5G.

[0093] Reference Figure 4 As shown, the vehicle control method applied to the server specifically includes the following steps:

[0094] S201: Receive positioning data of the current vehicle uploaded by a user terminal of the current vehicle.

[0095] S202: Determine a target preset scene matching the current vehicle according to the positioning data.

[0096] S203: Send the target preset scene to the user terminal of the current vehicle.

[0097] Reference Figure 5 As shown, in some implementations of the present application, step S202 specifically includes the following steps:

[0098] S2021: performing collaborative filtering based on data of multiple preset scenarios to obtain a recommendation strategy including rankings among the multiple preset scenarios;

[0099] S2022: Obtain a target preset scenario corresponding to a target user and positioning data according to a recommendation strategy, where the target user is a user corresponding to a user terminal that uploads the positioning data.

[0100] As a specific implementation of step S2022, a scene recommendation list is generated according to the recommendation strategy, and the scene recommendation list includes at least one target preset scene corresponding to the target user and positioning data.

[0101] By adopting such a solution, more recommended preset scenes can be provided to users, making it easier for users to choose according to their needs.

[0102] In some embodiments of the present application, data processing is performed on multiple preset scenes uploaded by multiple users to obtain data of the multiple preset scenes.

[0103] Reference Figure 6 Specifically, the server processes the preset scene including:

[0104] S301: Clustering multiple preset scenes uploaded by multiple users.

[0105] S302: Grouping multiple original scenes according to the result of clustering processing to obtain data of multiple preset scenes.

[0106] Optionally, step S302 includes: grouping the multiple original scenes according to the result of clustering processing to obtain a grouping result; and obtaining data of the multiple preset scenes according to the grouping result.

[0107] Reference Figure 7 As shown, as a third aspect of the present application, a vehicle control method is provided, comprising the following steps:

[0108] S401: The user terminal of the current vehicle uploads the positioning data of the current vehicle to the server;

[0109] S402: The server determines a target preset scene matching the current vehicle according to the positioning data;

[0110] S403: The server sends the target preset scene to the user terminal of the current vehicle;

[0111] S404: The user terminal of the current vehicle controls the preset function of the current vehicle according to the target preset scene.

[0112] Reference Figure 8 and Fig. 9 As shown, as the third aspect of the present application, the present application also provides a vehicle control system, which includes a user terminal and a server that can implement the aforementioned vehicle control method.

[0113] In some embodiments of the present application, the user terminal may also control preset functions of the vehicle according to the positioning data and the preset scenarios that have been acquired.

[0114] As a specific solution of the present application, the preset scenario includes setting items and setting parameters set by users of other vehicles and having a corresponding relationship with the positioning data and the preset functions.

[0115] More specifically, the preset scenarios of the present application are strategy combinations for controlling preset functions of the vehicle (that is, functions that the vehicle has deployed under the SOA architecture), which are implemented in the form of scenario scripts. Users can customize scenario scripts by setting projects and parameters.

[0116] In addition, in addition to the preset functions corresponding to the setting items and setting parameters, the preset scenarios defined in the present application may also include preset conditions, that is, there are corresponding control logics and corresponding trigger conditions, etc.

[0117] As an example, the setting items may include air conditioning temperature, air conditioning air volume, driving mode, seat mode, etc. Correspondingly, the setting parameters may include air conditioning temperature value, air conditioning air volume gear, driving mode type, and seat mode type value.

[0118] The advantage of adopting the above solution is that it provides users with a variety of preset scenes for the area where the vehicle is located through preset scene sharing, so that users can obtain a more personalized driving experience.

[0119] In some embodiments of the present application, reference Fig. 9 As shown, the setting items in the technical solution of the present application are configured as configurable items provided by the service layer or application layer of the vehicle control system. The setting parameters in the technical solution of the present application are configured as configurable parameters provided by the service layer or application layer of the vehicle control system.

[0120] That is, the realization of the preset scenario of the present application and its association with the preset function are realized through the service layer and application layer in the control system of the vehicle; in particular, they are realized through the operation of setting items and setting parameters.

[0121] In some embodiments of the present application, the operation on the setting items may include adding, deleting, editing, and saving the setting items. The operation on the setting parameters may include adding, deleting, editing, and saving the setting parameters.

[0122] In order to facilitate user settings, the control method of the present application may also include: providing an editing interface for a preset scene so that the user of the vehicle can add, delete, edit, and save setting items or setting parameters in the preset scene. For example, the editing interface may be provided by a central control touch screen of the central control system.

[0123] Reference Figure 8 and Fig. 9 As shown, in some embodiments of the present application, the control method of the present application may further include: uploading the preset scene modified by the user to the server.

[0124] As a specific solution, before uploading the preset scene, the uploaded preset scene needs to be signed. The purpose of the signature is to verify the user authority and also to check the preset scene locally.

[0125] That is, the control method of the present application also includes: uploading the preset scene modified by the user to the server; and signing the preset scene set by the user.

[0126] Reference Figure 8 and Fig. 9 As shown, in some embodiments of the present application, in order to facilitate the provision of preset scene recommendations to users, the control method of the present application may further include: receiving preset scenes processed by a server. The vehicle of the technical solution of the present application has a wireless communication function and a positioning function. After the vehicle learns its own location based on the positioning function, it sends positioning data to the server. The server sends the preset scene recommended to the user to the vehicle based on the positioning data of the vehicle.

[0127] It should be noted that whether the server recommends preset scenarios for the vehicle can be selected by the user. For example, a corresponding operation interface can be provided, and the user can choose to turn on or off the recommendation mode.

[0128] When you choose to turn on the recommended mode, when the positioning data is updated, it is sent to the server. The server sends the corresponding preset scene to the vehicle based on the positioning data and the vehicle's ID data (or the user's ID data).

[0129] When you choose to turn off the recommendation mode, the vehicle's positioning data will stop being uploaded to the server.

[0130] As a specific solution, the present application provides a recommendation model based on a geographical concept based on the vehicle's positioning data.

[0131] As mentioned above, the technical solution of the present application can send corresponding preset scenes according to the positioning data.

[0132] However, generally speaking, the vehicle's positioning data changes in real time. From the perspective of data granularity, if a preset scenario is recommended every time the positioning data is updated, it will cause greater data redundancy and system burden.

[0133] From the perspective of data resources, although the server will store a large number of preset scenes uploaded by users, the number of preset scenes that can fully correspond to a single positioning data is very limited.

[0134] From the perspective of user experience, users are not inclined to frequently switch between preset scenes. In more cases, users can refer to the convenience brought by preset scenes set by other users when facing changes in driving conditions due to geographical characteristics.

[0135] Therefore, based on the above three aspects, in some embodiments of the present application, multiple preset geographical ranges are set, and then preset scenarios are recommended according to the geographical ranges.

[0136] Specifically, after the vehicle uploads the positioning data, the server determines the current geographical range of the vehicle based on the positioning data and recommends a preset scene to the vehicle. Correspondingly, when the geographical range of the vehicle changes, the server triggers the push of a new preset scene to the vehicle.

[0137] As a more specific solution, the positioning data and the detection and determination of the geographical range of the present application are composed of two parts: a cloud server and a local vehicle.

[0138] The server obtains geographic information data, and through the online map library, ensures that the geographic information data includes information such as the boundaries of each region and regional identification, converts the geographic coordinates obtained by the vehicle positioning system into a standard geographic coordinate system, such as longitude and latitude coordinates, and uses the geographic information data to map the geographic coordinates to various regions, such as countries, provinces, cities, administrative regions, etc.

[0139] The vehicle obtains the geographic coordinates of the vehicle's current positioning data through positioning technologies such as GPS and INS. Then, the region detection and reporting functions to the server are implemented on the SOA service architecture of the vehicle control system, so that when the vehicle enters a new region, corresponding events are triggered, such as region change events.

[0140] The regions based on administrative divisions or geographical meanings cannot reflect the impact of road conditions on the preset scenes, so it is impossible to better implement the recommendation function based on the geographical scope. As an extension solution, the technical solution of this application can perform data clustering from a data perspective on the preset scenes uploaded by users, so as to perform regional division according to the regions mapped by the sets formed by the data clustering results.

[0141] As another extended solution, the technical solution of the present application can perform spatial clustering processing on the preset scenes uploaded by users from the perspective of the corresponding positioning data (location), thereby forming a regional division of the area covered by the set formed by the spatial clustering results.

[0142] Reference Figure 8 and Fig. 9 As shown, the technical solution of the present application is implemented based on a control system based on SOA architecture.

[0143] Specifically, the vehicle control system of the present application decouples the preset functions of the vehicle from software and hardware based on the SOA architecture, thereby constructing service layer software and application layer software. Then, based on the application layer and service layer software, an operation interface for custom editing scenes is provided to the user.

[0144] The user can perform personalized settings on the operation interface according to their needs, including setting the function items and the parameters corresponding to the items. When the settings are completed, the control system stores the scene customized by the user, thereby forming the preset scene of this application.

[0145] When storing a preset scene, the corresponding positioning data (corresponding when setting) can be saved synchronously; the corresponding positioning data (corresponding when using) can also be saved synchronously when using a preset scene; these two types of positioning data can be defined as setting positioning data and using positioning data respectively. When matching based on positioning data, setting positioning data and using positioning data can be comprehensively considered.

[0146] As the basis for implementing the technical solution of this application, refer to Figure 8 As shown, the control system includes a central control system and a domain control module.

[0147] Among them, the domain control module can be implemented through a central computing platform built by MCU (Microcontroller Unit), ECU (Electronic Control Unit) or SoC (System on Chip).

[0148] Among them, when constructing the SOA architecture of the software system, the functional software and hardware are first decoupled according to the preset functions of the vehicle, and the service layer (atomic service layer) and application layer and their corresponding subsystems are constructed.

[0149] Reference Fig. 9 As shown, specifically, the application layer under the SOA architecture builds the first-level application system and corresponding programs, such as: assisted driving system, chassis system, auxiliary power system, optoelectronic system, air conditioning system, media system, and power system. More specifically, the corresponding programs of the second-level application system set can also be built under the first-level application system, such as building a seat control system, electric side door system, electric front hood system, electric back door system, sunroof system, window system, etc. under the auxiliary power system.

[0150] Similarly, the air-conditioning car thermal management system, fragrance system, intelligent air outlet system and negative ion system are built under the air-conditioning system.

[0151] Similarly, the headlight system, interior lighting system, interior ambient light system, instrument screen system, HUB system, etc. are constructed under the optoelectronic system.

[0152] Reference Fig. 9 As shown, as a more specific solution, the preset functions of the service layer of the present application are deployed in the MCU or ECU of the vehicle. In other words, the service layer of the present application is composed of the control functions deployed in the MCU or ECU of the vehicle.

[0153] The actual operation logic of the application layer is sent and received by the SoC of the central computing platform. For example, the SoC notifies the left domain of the domain control module of the instruction through the vehicle virtual bus or private protocol; then the electric side door opening system of the auxiliary power system controlled by the left domain opens or closes the left door. That is, the preset functions of the application layer of the control system are deployed on the central computing platform of the vehicle.

[0154] Reference Fig. 9As shown in the figure, as a more specific solution, according to the service layer of the SOA architecture, an editing interface for users to preset scenes is provided. The editing interface can add setting items of the service layer according to the actual operation logic (such as AND, OR, NOT operations and judgment conditions, etc.). After the user completes the setting, the preset scene will be saved and serialized through the SOME / IP protocol to generate a script file, which will be first uploaded to the central control system (or the cockpit domain), and then uploaded to the server through the central control system.

[0155] Reference Fig. 9 As shown, in some embodiments of the present application, operations on preset scenes can be implemented through interaction between the mobile terminal and the server, such as remote editing, selection, and control of preset scenes.

[0156] On the other hand, the communication of the central control system of the present application can be based on the MQTT protocol to interact with the server for data. The cloud server is mainly responsible for the data security of the preset scene, ensuring that the preset scene is not tampered with during transmission and storage.

[0157] As a specific solution, the central control system in this application is the main human-computer interaction channel. The central control system can realize the corresponding system functions through the following process:

[0158] Specifically, the steps that the central control system can perform include:

[0159] 1. Create or edit a preset scenario, and design or set the basic strategy for the preset scenario.

[0160] 2. Upload the preset scene based on the communication protocol (such as MQTT protocol) and sign it.

[0161] 3. Download the preset scenes from the cloud server (after adding signatures) and mark and display the preset scenes.

[0162] 4. According to the user's operation or use of the preset scenario, the preset scenario is sent to the central computing platform, domain control module or specific MCU or ECU; and the execution of the preset scenario is monitored after it is sent.

[0163] 5. When signing fails, the user will be prompted and can choose to delete or sign again.

[0164] Referring to FIG8 , as a specific solution, the SoC of the central computing platform serves as the “brain” of the central computing platform, and the steps that can be performed include:

[0165] 1. Verify the signature for the preset scene from the central control system.

[0166] 2. After the signature verification is passed, the functions of the preset scene are disassembled; when the signature verification fails, the failure code is fed back to the central control system, so that the central control system can feed back the information of the signature verification failure to the user.

[0167] 3. Monitor the trigger conditions set in the preset scenario. When the trigger conditions are met, send execution instructions to the domain control module based on the SOME / IP protocol.

[0168] 4. Store basic vehicle information, network status information and other service-related information discovered based on the SOME / IP protocol.

[0169] Reference Figure 8 As shown in the figure, as a specific solution, the domain control module is the execution end of the control, and the steps that can be executed include:

[0170] 1. Discover and call the standardized service layer of the vehicle (especially the atomic service layer), and enable different MCUs and ECUs to work together.

[0171] 2. Report relevant data as trigger conditions for corresponding preset functions in preset scenarios.

[0172] Reference Figure 8 As shown, in some embodiments of the present application, the domain control module in the technical solution of the present application can be based on the domain control 4.0 platform, and the central control system, SoC, and MCU (or ECU) can be connected via Ethernet. The central control system and the MCU (or ECU) can communicate based on the SOME / IP protocol; in order to save the MCU (or ECU) from occupying communication resources, the SoC and the MCU (or ECU) can communicate through a customized privatization protocol.

[0173] In addition, as the physical carrier of communication, each MCU (or ECU) is responsible for managing and distributing data communications between subsystems through switches, and integrating and coordinating functions related to body control through the body network, including body stability control, braking system, suspension system, etc.

[0174] The server in the technical solution of the present application is mainly used to implement a recommendation method for personalized preset scenarios based on geographical scope. The server combines the multi-dimensional features of the user-defined preset scenarios, user description information, setting items, setting frequency, and frequency of use of preset functions, and implements intelligent recommendations based on the user's personal habits and regions through a collaborative filtering algorithm.

[0175] That is, as a specific solution, the preset scene can also include geographic information, user description information, and the frequency of use of the preset function. Among them, the geographic information can be considered as one of the derivative information of the positioning data, and the corresponding geographic data obtained according to the positioning data. The user description information can be the user's notes on the region, scene, function, etc. of the preset scene, such as "off-road mode for gravel roads in Inner Mongolia" and other similar field information.

[0176] Reference Fig.10 As shown, as a more specific solution, in some embodiments of the present application, a clustering algorithm can be used to extract features. The specific feature extraction method includes the following steps:

[0177] S601: clustering the original scenes uploaded by multiple vehicles, that is, clustering the data of the original scenes stored in the server.

[0178] S602: Grouping and / or classifying the original scenes uploaded by multiple vehicles according to the result of clustering processing. One cluster or several clusters after clustering can be used as a group or category, or several groups can be classified into one category. For example, all the groups are preset scenes of sports mode, and all the categories are preset scenes of mountain road conditions.

[0179] S603: configuring corresponding processing strategies or recommendation strategies for the grouping or classification of preset scenarios.

[0180] Through the above steps, clustering algorithms can be used to extract features from custom scene data, thereby grouping and classifying scenes, providing a basis for subsequent analysis and application.

[0181] As a specific solution, the K-means algorithm can be used for clustering. The following is the mathematical formula of the K-means algorithm:

[0182] Suppose there are n data points x1, x2, …x n , we want to divide them into k clusters.

[0183] For each data point x n , define a cluster indicator variable r ij , represents the data point x i Does it belong to cluster j? If x i belongs to cluster j, then r ij =1, otherwise r ij =0.

[0184] The goal of the K-means algorithm is to minimize the sum of the squares of the distances from each data point to the center of the cluster to which it belongs. The objective function can be expressed as:

[0185]

[0186] in:

[0187] μ j is the center (mean) of cluster j;

[0188] ||x i -μ j || 2 Represents data point x i To cluster center μ j The square of the Euclidean distance;

[0189] r ij is an indicator variable, indicating that the data point x i Whether it belongs to cluster j.

[0190] The steps of the K-means algorithm are to optimize the above objective function through iteration, alternating between two steps: updating the cluster assignment (r ij ) and update the cluster center (μ j ). The algorithm iterates until the convergence condition is reached.

[0191] It is important to note that the K-means algorithm is a hard clustering method, that is, each data point belongs to only one cluster. Other clustering algorithms may use soft clustering methods, allowing a data point to belong to multiple clusters to varying degrees.

[0192] After completing a clustering process, the obtained clustering model can be applied to reprocess the data of a new preset scene to automatically identify the grouping or classification (type or mode) of the new preset scene.

[0193] The purpose of clustering is to generate some "typical scenes", that is, preset scenes, based on the original scenes uploaded by a large number of users, so as to facilitate subsequent recommendations and filtering.

[0194] More specifically, refer to Fig.11 As shown, in some embodiments of the present application, the aforementioned recommended method includes the following steps:

[0195] S501: Collect multiple original scenes uploaded by different vehicles, and perform data cleaning and preprocessing;

[0196] S502: extracting data features of a preset scene;

[0197] S503: Filter and recommend preset scenes according to data features of the preset scenes.

[0198] As a more specific solution, step S501 specifically includes: collecting geographic information of a preset scene and user description information, etc. Then, cleaning and preprocessing the collected data, such as removing outliers, filling in missing data, etc., to ensure the quality and integrity of the data.

[0199] As a more specific solution, step S502 specifically includes: using a corresponding feature extraction method to extract features from the cleaned data of the preset scene, and these features may include setting items, setting parameters, geographic information, user description information, and the frequency of use of the preset function, etc. The feature extraction method may extract data features by clustering, decision tree, etc.

[0200] As a more specific solution, step S503 specifically includes: using a collaborative filtering algorithm to analyze the data after feature extraction, and filtering and recommending preset scenes in combination with the user's personal habits and positioning information (or secondary information such as geographic information and regional scope). More specifically, based on the analysis results of the collaborative filtering algorithm, a recommendation list of recommended preset scenes is generated, and these preset scenes are more in line with the user's personalized needs and the adaptability of the regional scope.

[0201] During the specific implementation process, collaborative filtering algorithms are used to analyze the data after feature extraction; then, personalized recommendations are generated for users based on their personal habits and regional information.

[0202] Collaborative filtering is a common recommendation algorithm that analyzes user behaviors and preferences, discovers similarities between users, and recommends items that may interest users.

[0203] Collaborative filtering algorithms are mainly divided into two categories: user-based collaborative filtering and item-based collaborative filtering. The technical solution of the present application mainly involves a recommendation method based on a preset scenario of a geographical scope. Therefore, the technical solution of the present application uses item-based collaborative filtering.

[0204] As a more specific solution, in the data preparation stage, the data after feature extraction is organized to ensure data format consistency, and each set of data contains users, preset scenarios and other relevant features (setting items, setting parameters, geographic information, user description information, and frequency of use of preset functions, etc.), and ensure that each user and scenario has a unique identifier.

[0205] The user-scenario matrix is ​​constructed based on the data after feature extraction, where rows represent users, columns represent preset scenarios, and matrix elements are user scores for preset scenarios (included in user description information) or other related weights (frequency of use of preset scenarios or preset functions), etc. The purpose of setting up the matrix is ​​to evaluate the user's predicted score or other weights for a preset scenario (the judgment of the user's preset scenario in other senses). The user-scenario matrix here uses a preset matrix, that is, a typical scenario generated by the server based on the original scenario. The original scenario can also be used here, but this will increase the computational burden.

[0206] The technical solution of the present application performs collaborative filtering on preset scenarios by calculating the similarities between preset scenarios to predict the user's rating (assessment acceptance) of unknown preset scenarios.

[0207] Similarity is also often expressed using cosine similarity:

[0208]

[0209] Among them, r ki is the user's rating of custom scene i; ∑ k r ki ·r kj represents the sum of the product of the scores of custom scene i and custom scene j evaluated by the same user; represents the square root of the sum of the squares of the ratings of the custom scene i. The predicted rating of user u for the unknown custom scene p can be calculated as follows:

[0210]

[0211] Based on the user's personal habits and regional information (location information, regional scope, geographic information or a combination thereof), similar users or similar scenarios are selected for filtering. The filtering strategy can be adjusted based on the user's location data, historical preferences (scoring and actual frequency) and other information.

[0212] After filtering, a subset is obtained, which contains users or scenarios similar to the target user. According to the weights in the similarity matrix, a weight is assigned to each similar user or similar scenario, representing the degree of their influence on the target user. Based on the results of filtering and weight assignment, a list of the top few most relevant preset scenarios is generated to achieve the purpose of recommendation.

[0213] In summary, the server's processing of preset scenes also includes: performing collaborative filtering based on the data of the preset scenes to obtain correlation data between users and / or preset scenes; generating a recommendation list corresponding to users and positioning data based on the correlation data; wherein the recommendation list contains multiple preset scenes with correlation ranging from high to low.

[0214] An embodiment of the present application also provides a computer program product, including a computer program, which implements the steps of the above-mentioned vehicle control method when executed by a processor.

[0215] An embodiment of the present application also provides a computer program product, including a computer program, which implements the steps of the above-mentioned control method when the computer program is executed by a processor.

[0216] An embodiment of the present application also provides an electronic device, including: a memory storing a computer program; and a processor configured to execute the computer program in the memory to implement the steps of the above method.

[0217] Reference Fig.12 As shown, in some embodiments of the present application, the electronic device 600 may include a processing device (e.g., a central processing unit, a graphics processing unit, etc.) 601, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 602 or a program loaded from a storage device 608 into a random access memory (RAM) 603. In the RAM 603, various programs and data required for the operation of the electronic device 600 are also stored. The processing device 601, the ROM 602, and the RAM 603 are connected to each other via a bus 604. An input / output (I / O) interface 605 is also connected to the bus 604.

[0218] Typically, the following devices may be connected to the I / O interface 605: an input device 606 including, for example, a touch screen, a touch pad, a keyboard, a mouse, a camera, a microphone, an accelerometer, a gyroscope, etc.; an output device 607 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; a storage device 608 including, for example, a magnetic tape, a hard disk, etc.; and a communication device 609. The communication device 609 may allow the electronic device 600 to communicate with other devices wirelessly or by wire to exchange data. Although Fig.13 The electronic device 600 is shown with various devices, but it should be understood that it is not required to implement or possess all the devices shown. More or fewer devices may be implemented or possessed instead. Fig.13 Each block shown in the figure may represent one device, or may represent multiple devices as required.

[0219] In particular, according to some embodiments of the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, some embodiments of the present application include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a program code for executing the method shown in the flowchart. In some such embodiments, the computer program can be downloaded and installed from the network through the communication device 609, or installed from the storage device 608, or installed from the ROM 602. When the computer program is executed by the processing device 601, the above-mentioned functions defined in the method of some embodiments of the present application are executed.

[0220] It should be noted that the computer-readable medium in some embodiments of the present application may be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium may be, for example, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above, which is not specifically limited in the present application. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above.

[0221] In some embodiments of the present application, a computer-readable storage medium may be any tangible medium containing or storing a program that may be used by or in combination with an instruction execution system, device, or device. In some embodiments of the present application, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, which carries a computer-readable program code. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. A computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium, which may send, propagate, or transmit a program for use by or in combination with an instruction execution system, device, or device. The program code contained on the computer-readable medium may be transmitted using any suitable medium, including but not limited to: wires, optical cables, RF (radio frequency), etc., or any suitable combination of the above.

[0222] In some embodiments, the client and the server may communicate using any currently known or future developed network protocol such as HTTP (Hyper Text Transfer Protocol), and may be interconnected with any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network (LAN), a wide area network (WAN), an internet (e.g., the Internet), and a peer-to-peer network (e.g., an adhoc peer-to-peer network), as well as any currently known or future developed network.

[0223] The computer-readable medium may be included in the electronic device or may exist independently without being installed in the electronic device. The computer-readable medium carries one or more programs. When the one or more programs are executed by the electronic device, the electronic device generates or outputs control instructions for controlling a preset function of the vehicle according to a control strategy output by a cloud control strategy model.

[0224] Computer program code for performing the operations of some embodiments of the present application can be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as an independent software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer can be connected to the user's computer through any type of network (including a local area network (LAN) or a wide area network (WAN)), or it can be connected to an external computer (for example, using an Internet service provider to connect through the Internet).

[0225] The flowcharts and block diagrams in the accompanying drawings illustrate the possible architecture, functions and operations of the systems, methods and computer program products according to various embodiments of the present application. In this regard, each box in the flowchart or block diagram may represent a module, a program segment, or a portion of a code, which contains one or more executable instructions for implementing a specified logical function.

[0226] It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures.

[0227] For example, two boxes shown in succession may actually be executed substantially in parallel, and they may sometimes be executed in the reverse order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flow chart, and the combination of boxes in the block diagram and / or flow chart, can be implemented by a dedicated hardware-based system that performs the specified function or operation, or can be implemented by a combination of dedicated hardware and computer instructions.

[0228] The units described in some embodiments of the present application may be implemented by software or by hardware.

[0229] The functions described above herein may be performed at least in part by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), complex programmable logic devices (CPLDs), and the like.

[0230] Reference Fig.13 As shown, the embodiment of the present application also provides a vehicle 10, including the above electronic device, which can be used to execute the above vehicle control method. The vehicle has all the beneficial effects of the above electronic device, which will not be described in detail in this application.

[0231] The vehicle may be a fuel vehicle, a plug-in hybrid vehicle or a new energy vehicle, etc., and this application does not make any specific limitation on this.

[0232] In the description of this application, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more features. In the description of this application, the meaning of "plurality" is two or more, unless otherwise clearly and specifically defined.

[0233] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0234] The embodiments, implementation methods and related technical features of the present application can be combined and replaced with each other without conflict.

[0235] The above are only preferred embodiments of the present application and do not constitute any form of limitation to the present application. However, any simple modifications, equivalent changes and modifications made to the above embodiments based on the technical essence of the present application without departing from the content of the technical solution of the present application are still within the scope of the technical solution of the present application.

Claims

1. A vehicle control method, applied to a user terminal of a vehicle, characterized in that: The vehicle control method comprises: Based on the positioning data of the current vehicle, obtaining a target preset scene matching the current vehicle; According to the target preset scene, the preset function of the current vehicle is controlled.

2. The vehicle control method according to claim 1, Features: Wherein, the acquiring of a target preset scene matching the current vehicle based on the positioning data of the current vehicle includes: Upload the current vehicle's positioning data to the server; Receive a target preset scene that matches the positioning data of the current vehicle and is sent by the server.

3. The vehicle control method according to claim 2, characterized in that: in, The target preset scenario is a control strategy or a template of a control strategy generated based on settings of the user of the current vehicle or users of other vehicles.

4. The vehicle control method according to claim 3, characterized in that: in, The target preset scene includes setting items and setting parameters that have a corresponding relationship with the positioning data and the preset function.

5. The vehicle control method according to claim 4, characterized in that: in, The setting items are configured as configurable items provided by a service layer and / or an application layer of a control system of the vehicle.

6. The vehicle control method according to claim 5, characterized in that: in, The setting parameters are configured as configurable parameters provided by a service layer and / or an application layer of a control system of the vehicle.

7. The vehicle control method according to claim 6, characterized in that: The application layer of the control system includes one or more of the following: assisted driving system, chassis system, auxiliary power system, optoelectronic system, air conditioning system, media system, and power system.

8. The vehicle control method according to claim 7, characterized in that: The preset functions corresponding to the application layer of the control system are deployed on the central computing platform of the vehicle.

9. The vehicle control method according to claim 8, characterized in that: The preset functions corresponding to the service layer of the control system are deployed in the vehicle's MCU or ECU.

10. The vehicle control method according to claim 9, characterized in that: The vehicle control method further includes: A scene editing interface is outputted for the user of the current vehicle to set the editable scene, and the scene set by the user is obtained, wherein the editable scene includes a blank scene or a preset scene.

11. The vehicle control method according to claim 10, characterized in that: The vehicle control method further includes: The scene set by the user is uploaded to the server.

12. The vehicle control method according to claim 11, characterized in that: Before uploading the scene set by the user to the server, the vehicle control method further includes: The scene set by the user is signed.

13. The vehicle control method according to any one of claims 1 to 12, characterized in that: The control system of the current vehicle is based on the SOA architecture.

14. A vehicle control method, applied to a server, characterized in that: The vehicle control method comprises: Receiving positioning data of the current vehicle uploaded by a user terminal of the current vehicle; Determining a target preset scene matching the current vehicle according to the positioning data; The target preset scene is sent to the user terminal of the current vehicle.

15. The vehicle control method according to claim 14, Features: Wherein, determining a target preset scene matching the current vehicle according to the positioning data includes: Perform collaborative filtering based on data of multiple preset scenarios to obtain a recommendation strategy including rankings among the multiple preset scenarios; A target user corresponding to the target preset scenario of the positioning data is obtained according to the recommendation strategy, wherein the target user is a user corresponding to the user terminal that uploads the positioning data.

16. The vehicle control method according to claim 15, characterized in that: in, The obtaining, according to the recommendation strategy, a target preset scenario corresponding to the target user and the positioning data includes: A scene recommendation list is generated according to the recommendation strategy, wherein the scene recommendation list includes at least one target preset scene corresponding to the target user and the positioning data.

17. The vehicle control method according to claim 15, characterized in that: The vehicle control method further includes: Data processing is performed on multiple original scenes uploaded by multiple users to obtain data of multiple preset scenes.

18. The vehicle control method according to claim 17, Features: The data processing of multiple original scenes uploaded by multiple users to obtain data of multiple preset scenes includes: Clustering multiple original scenes uploaded by multiple users; The multiple original scenes are grouped according to the result of the clustering process to obtain data of multiple preset scenes.

19. A vehicle control method, characterized in that: The vehicle control method comprises: The user terminal of the current vehicle uploads the positioning data of the current vehicle to the server; The server determines a target preset scene matching the current vehicle according to the positioning data; The server sends the target preset scene to the user terminal of the current vehicle; The user terminal of the current vehicle controls a preset function of the current vehicle according to the target preset scene.

20. A vehicle control system, characterized in that: The vehicle control system comprises: The user terminal is used to upload the current vehicle positioning data to the server; The server determines, according to the positioning data, a target preset scene that matches the current vehicle; The server and the user terminal form data interaction to send the target preset scene to the user terminal of the current vehicle; the user terminal controls the preset function of the current vehicle according to the target preset scene.

21. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the vehicle control method according to any one of claims 1 to 19 are implemented.

22. A computer program product, comprising a computer program, characterized in that: When the computer program is executed by a processor, the steps of the vehicle control method according to any one of claims 1 to 19 are implemented.

23. An electronic device, characterized in that: The electronic device comprises: A processor, configured to execute a computer program in a memory to implement the steps of the method according to any one of claims 1 to 19.

24. A vehicle, characterized in that: The vehicle comprises: the electronic device as claimed in claim 23.

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