WO2021057364A1 - 车辆功能服务推荐方法和装置 - Google Patents
车辆功能服务推荐方法和装置 Download PDFInfo
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- WO2021057364A1 WO2021057364A1 PCT/CN2020/111166 CN2020111166W WO2021057364A1 WO 2021057364 A1 WO2021057364 A1 WO 2021057364A1 CN 2020111166 W CN2020111166 W CN 2020111166W WO 2021057364 A1 WO2021057364 A1 WO 2021057364A1
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R16/00—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for
- B60R16/02—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric constitutive elements
- B60R16/023—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric constitutive elements for transmission of signals between vehicle parts or subsystems
- B60R16/0231—Circuits relating to the driving or the functioning of the vehicle
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- the present invention relates to the technical field of intelligent vehicles, in particular to a method and device for recommending vehicle function services.
- the multimedia function services of vehicles are increasingly using the Internet, and navigation, music, radio, video, etc. can all support real-time online use.
- the many configurations of the vehicle and the networking function services bring comfort and entertainment, but also bring some inconvenience to the driver and increase the risk of driving the vehicle, such as the increase in the time cost of the user's learning and use of the functional configuration, and Due to non-driving operations during driving, driving safety decreases.
- the present invention aims to propose a vehicle function service recommendation method to reduce the time cost of users' thinking and use, and at the same time greatly increase driving safety.
- a method for recommending a vehicle function service comprising: detecting vehicle status data; performing vehicle function service recommendation based on a vehicle recommendation database according to the vehicle status data, wherein the vehicle recommendation database includes the vehicle status data and the user's personal information Correspondence of accustomed vehicle functions and services.
- vehicle status data includes: at least one of vehicle position data, vehicle speed data, accelerator usage data, brake usage data, engine data, and air conditioning operating status data.
- the vehicle recommendation database is established in the following manner: based on historical vehicle state data and multiple driving scenarios, establishing a correspondence between the vehicle state data and the multiple driving scenarios; under the multiple driving scenarios , Collecting the vehicle function services used by the user; according to the multiple driving scenarios and the vehicle function services used by the user, establishing the correspondence between the multiple driving scenarios and the vehicle function services used by the user; The corresponding relationship between the vehicle status data and the multiple driving scenarios and the corresponding relationship between the multiple driving scenarios and the vehicle function services of the user's personal habit, to obtain the vehicle status data and the vehicle of the user's personal habit The corresponding relationship of the functional services, thereby forming the vehicle recommendation database.
- the method further includes: obtaining the personal information of the current user; according to the current user's personal information, based on the vehicle recommendation database, obtaining the vehicle status data and the user's personal habits for the current user According to the vehicle status data, based on the corresponding relationship between the current user’s vehicle status data and the user’s personal habit of vehicle function services, a vehicle function service recommendation is made.
- the method further includes: in response to the user's response result and/or the user's historical response result, adjusting the vehicle status data and the user's personal habit of the vehicle function service Correspondence.
- the vehicle function service recommendation method of the present invention has the following advantages:
- the vehicle functional service recommendation method of the present invention detects vehicle state data, and performs vehicle functional service recommendation based on the vehicle recommendation database according to the vehicle state data. Because the recommendation based on the vehicle recommendation database not only makes the recommended content more appropriate, but also does not require the user to think and operate, reduce the time cost of the user to think and use, and greatly increase the driving safety.
- Another object of the present invention is to provide a vehicle function service recommendation device, so as to reduce the time cost for users to think and use, and at the same time greatly increase driving safety.
- a vehicle function service recommendation device comprising: a detection unit and a recommendation unit, wherein the detection unit is used to detect vehicle state data; the recommendation unit is used to perform a vehicle recommendation database based on the vehicle state data Vehicle function service recommendation, wherein the vehicle recommendation database includes the corresponding relationship between the vehicle status data and the vehicle function service personally used by the user.
- vehicle status data includes: at least one of vehicle position data, vehicle speed data, accelerator usage data, brake usage data, engine data, and air conditioning operating status data.
- the device also includes a database establishing unit, which is used to: establish the correspondence between the vehicle state data and the multiple driving scenes based on historical vehicle state data and multiple driving scenes; in the multiple driving scenes Next, collect the vehicle function services personally used by the user; according to the multiple driving scenarios and the vehicle function services personally used by the user, establish the correspondence between the multiple driving scenarios and the vehicle function services personally used by the user; According to the correspondence between the vehicle state data and the multiple driving scenarios and the correspondence between the multiple driving scenarios and the vehicle function services of the user’s personal habit, the relationship between the vehicle state data and the user’s personal habit is obtained. Correspondence of vehicle function services, thereby forming the vehicle recommendation database.
- the device further includes: an obtaining unit for obtaining personal information of the current user; the recommending unit is also used for obtaining vehicle status for the current user based on the vehicle recommendation database based on the personal information of the current user Correspondence between the data and the user's personal habit of vehicle function services; according to the vehicle status data, based on the corresponding relationship between the current user's vehicle status data and the user's personal habit of vehicle function services, perform vehicle function service recommendations.
- the device further includes an adjustment unit.
- the adjustment unit is used to adjust the vehicle status data and the vehicle status data in response to the user's response result and/or the user's historical response result. Correspondence of the user’s personal habit of vehicle functions and services.
- the vehicle function service recommendation device has the same advantages as the aforementioned vehicle function service recommendation method over the prior art, and will not be repeated here.
- Another object of the present invention is to provide a machine-readable storage medium to reduce the time cost for users to think and use, and at the same time greatly increase driving safety.
- a machine-readable storage medium includes a memory, and instructions are stored on the memory, and the instructions are used to enable a machine to execute the above-mentioned method for recommending vehicle function services.
- the machine-readable storage medium has the same advantages as the aforementioned vehicle function service recommendation method over the prior art, and will not be repeated here.
- Another object of the present invention is to provide a vehicle to reduce the time cost of thinking and use by users, and at the same time greatly increase driving safety.
- a vehicle includes the vehicle function service recommendation device described above.
- FIG. 1 is a flowchart of a method for recommending vehicle function services according to an embodiment of the present invention
- FIG. 2 is a flowchart of a method for establishing a vehicle recommendation database according to an embodiment of the present invention
- FIG. 3 is a flowchart of a method for recommending vehicle function services according to another embodiment of the present invention.
- Fig. 4 is a schematic structural diagram of a vehicle function service recommendation device provided by an embodiment of the present invention.
- Fig. 1 is a flowchart of a method for recommending vehicle function services according to an embodiment of the present invention. As shown in Figure 1, the method includes:
- Step S11 detecting vehicle state data
- the vehicle status data may include vehicle position data, vehicle speed data, throttle usage data, brake usage data, engine data, or air conditioning operating status data, and so on.
- the vehicle status data is generated by the Electronic Control Unit (ECU) and transmitted to the In-Vehicle Infotainment (IVI, also known as HU) through the Controller Area Network (CAN). Then upload its own data (mainly multimedia data) and data generated by ECU to the background through CAN.
- ECU Electronic Control Unit
- IVI also known as HU
- CAN Controller Area Network
- the data After receiving the data in the background, the data is stored on the server, and at the same time, the data of different vehicle models is standardized and converted to realize the unification of the data format, which is convenient for subsequent data use and analysis.
- Step S12 Perform vehicle functional service recommendation based on the vehicle recommendation database according to the vehicle state data, where the vehicle recommendation database includes the correspondence between the vehicle state data and the vehicle functional services of the user's personal habits.
- the vehicle status data is used in the vehicle recommendation database to find vehicle functional services that match the vehicle status data.
- the vehicle function service is generally a service that the user is personally accustomed to.
- the corresponding relationship between the vehicle status data and the vehicle function service can be configured through the user's input in advance, or the vehicle can learn by itself. After finding the vehicle function service matching the current vehicle status data, the vehicle function service is recommended to the user.
- the vehicle status data is within 5 minutes, if the accelerator pedal and the brake pedal are used for more than 15 times, it is considered that there is a traffic jam, and the user is personally accustomed to listening to the cross talk in the traffic jam, then it is recommended to play the cross talk program; if the HU send is received at the same time According to the multimedia data, it can also be judged that the crosstalk program is recommended to be played when the current multimedia data shows that the crosstalk program is not played.
- the vehicle function service can also be a service commonly used by users, that is, a vehicle function service that does not have influencing factors such as hobbies.
- the vehicle status data is that the vehicle speed is 0, the brakes and accelerators are not used, and the engine is just started. Get on the vehicle and start the vehicle. At this time, it is judged whether the temperature in the vehicle is too high/low, so as to recommend the air-conditioning function corresponding to the vehicle status data.
- the following provides a method for forming a vehicle recommendation database by learning by the vehicle itself, which is mainly aimed at the formation of the corresponding relationship between the vehicle status data and the vehicle function service of the user's personal habits.
- Fig. 2 is a flowchart of a method for establishing a vehicle recommendation database according to an embodiment of the present invention. As shown in Figure 2, the method includes:
- Step S21 establishing a correspondence between the vehicle state data and the multiple driving scenarios based on the historical vehicle state data and multiple driving scenarios;
- the first thing to establish is the correspondence between the vehicle state data and the driving scene.
- the background analyzes the vehicle state data in a large number of actual driving scenarios of vehicles, extracts their common characteristics, and uses their common characteristics as vehicle state data to establish a corresponding relationship with the driving scene.
- the corresponding relationship can be based on multiple driving scenarios. There are multiple correspondences between different driving scenarios.
- Step S22 Collect vehicle function services personally used by the user in the multiple driving scenarios
- a traffic jam driving scene it is collected that users like to listen to cross talk; in a smooth driving driving scene, it is collected that users like to listen to popular songs and so on.
- Step S23 establishing a correspondence relationship between the multiple driving scenarios and the vehicle function services personally used by the user according to the multiple driving scenarios and the vehicle function services personally used by the user;
- a corresponding relationship is established between the vehicle function services collected in step S22 and the driving scene at the time of collection.
- Step S24 Obtain the vehicle state data and the user's corresponding relationship between the vehicle state data and the plurality of driving scenes and the correspondence relationship between the plurality of driving scenes and the vehicle function services of the user's personal habit. Correspondences of the vehicle function services that individuals are accustomed to, thereby forming the vehicle recommendation database.
- the driving scene can be used as an intermediate quantity for correspondence.
- the corresponding relationship between the vehicle status data and the vehicle function service used by the user is converted.
- the corresponding relationship is the corresponding relationship required by the vehicle recommendation database, and the establishment of the vehicle recommendation database is completed.
- the present invention also provides a recommended execution method for this situation.
- Fig. 3 is a flowchart of a method for recommending vehicle function services according to another embodiment of the present invention. As shown in Figure 3, the method includes:
- Step S31 detecting vehicle state data
- Step S32 obtaining personal information of the current user
- the personal information of the current user that is, the current driver can be obtained.
- the acquisition method can be the input of personal information after the user gets in the car, or the collection of fingerprints after the user holds the steering wheel, or the recognition of the face.
- Step S33 According to the personal information of the current user, based on the vehicle recommendation database, obtain the corresponding relationship between the vehicle status data for the current user and the vehicle function service of the user's personal habits;
- the vehicle recommendation database stores the correspondence between the vehicle status data for each user and the vehicle function service of the user’s personal habits, and the vehicle status data of each user corresponds to the user’s Correspondences of vehicle functions and services that individuals are accustomed to all correspond to the user's personal information. Therefore, based on the current user's personal information, the corresponding relationship between the current user's vehicle status data and the user's personal vehicle function services can be called first.
- Step S34 According to the vehicle status data, a vehicle function service recommendation is made based on the correspondence between the vehicle status data for the current user and the vehicle function service of the user's personal habit.
- targeted calls can be made, so that the recommended function services based on the vehicle status data are suitable for the current user and meet the needs of different users when using the vehicle. Demand.
- the server when a recommendation message is obtained from the vehicle recommendation database, the server sends a corresponding recommendation message to the HU.
- the recommendation message may include the recommended function configuration, service content, and specific parameters of each function service. For example, it is recommended to turn on air conditioning, refrigeration, 23°C, external circulation, noodle blowing mode and so on.
- the HU After the HU receives the recommendation message, it can consult the user through the function of voice broadcast or text pop-up, asking whether or not a certain function/service is needed. The user can reply by voice or by clicking the multimedia button. After the user accepts the recommendation, the HU transfers the functional services and parameter settings in the recommendation message to the target ECU via CAN, and the target ECU performs corresponding operations after receiving the information.
- the server may adjust the corresponding relationship between the vehicle status data and the vehicle function service of the user's personal habit. For example, a cross talk show is recommended for a driving scene in a traffic jam, but a rejection response result is received, then the correspondence between the traffic jam driving scene and the cross talk show can be cancelled; or, at the same time as the rejection response result is received, the user has also If the recommended cross talk program for the driving scene in traffic jam has been rejected one or more times, the corresponding relationship between the driving scene in traffic jam and the cross talk program can be cancelled.
- the present invention predicts the user’s functional service requirements during the use of the car, and recommends messages.
- the user only needs to reply with voice or other means to perform or reject the corresponding operation, which is reducing While the time cost for users to think and use, it greatly increases driving safety.
- Fig. 4 is a schematic structural diagram of a vehicle function service recommendation device provided by an embodiment of the present invention.
- the device includes: a detection unit 1 and a recommendation unit 2, wherein the detection unit 1 is used to detect vehicle state data; the recommendation unit 2 is used to detect vehicle state data based on a vehicle recommendation database , Carry out vehicle function service recommendation, wherein the vehicle recommendation database includes the corresponding relationship between the vehicle status data and the vehicle function service of the user's personal habit.
- vehicle status data includes: at least one of vehicle position data, vehicle speed data, accelerator usage data, brake usage data, engine data, and air conditioning operating status data.
- the device also includes a database establishing unit 3, which is used to: establish the correspondence between the vehicle state data and the multiple driving scenarios based on historical vehicle state data and multiple driving scenarios; In the scenario, collect the vehicle function services used by the user; according to the multiple driving scenarios and the vehicle function services used by the user, establish the correspondence between the multiple driving scenarios and the vehicle function services personally used by the user ; According to the correspondence between the vehicle state data and the multiple driving scenarios and the correspondence between the multiple driving scenarios and the vehicle function services of the user’s personal habit, the vehicle state data and the user’s personal habit are obtained The corresponding relationship of the vehicle function service of the vehicle, thereby forming the vehicle recommendation database.
- a database establishing unit 3 is used to: establish the correspondence between the vehicle state data and the multiple driving scenarios based on historical vehicle state data and multiple driving scenarios; In the scenario, collect the vehicle function services used by the user; according to the multiple driving scenarios and the vehicle function services used by the user, establish the correspondence between the multiple driving scenarios and the vehicle function services personally used by the user ; According to the correspondence between
- the device further includes: an obtaining unit 5, configured to obtain personal information of the current user; the recommendation unit 2 is also configured to obtain personal information for the current user based on a vehicle recommendation database based on the personal information of the current user The corresponding relationship between the vehicle status data and the vehicle function service of the user's personal habit; based on the vehicle status data, the vehicle function service recommendation is made based on the corresponding relationship between the vehicle status data for the current user and the vehicle function service of the user's personal habit.
- an obtaining unit 5 configured to obtain personal information of the current user
- the recommendation unit 2 is also configured to obtain personal information for the current user based on a vehicle recommendation database based on the personal information of the current user The corresponding relationship between the vehicle status data and the vehicle function service of the user's personal habit; based on the vehicle status data, the vehicle function service recommendation is made based on the corresponding relationship between the vehicle status data for the current user and the vehicle function service of the user's personal habit.
- the device further includes an adjustment unit 4, after the vehicle function service recommendation is performed, the adjustment unit is used to adjust the vehicle status data and the user in response to the user's response result and/or the user's historical response result. Correspondence between personally used vehicle functions and services.
- the foregoing embodiment of the vehicle function service recommendation device is similar to the embodiment of the vehicle function service recommendation method described above, and will not be repeated here.
- the present invention also provides a machine-readable storage medium.
- the machine-readable storage medium includes a memory with instructions stored on the memory. The instructions are used to enable a machine to execute the vehicle function service recommendation method described above.
- the foregoing embodiment of the machine-readable storage medium is similar to the foregoing embodiment of the vehicle function service recommendation method, and will not be repeated here.
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Abstract
一种车辆功能服务推荐方法和装置，该方法包括：检测车辆状态数据；根据所述车辆状态数据，基于车辆推荐数据库，进行车辆功能服务推荐，其中所述车辆推荐数据库包括所述车辆状态数据与用户个人习惯的车辆功能服务的对应关系。该车辆功能服务推荐方法和装置可以降低用户思考和使用的时间成本，同时大大增加了驾驶安全性。
Description
本发明涉及智能车辆技术领域，特别涉及一种车辆功能服务推荐方法和装置。
当前车辆的多媒体功能服务越来越多地应用互联网，导航、音乐、电台、视频等都可支持实时在线使用。车辆的诸多配置以及联网功能服务带来舒适性、娱乐性的同时，也为驾驶员带来一些不便并且使车辆驾驶增加了一定风险，例如用户对功能配置的学习和使用的时间成本增加，以及由于行车过程中的非驾驶类操作导致驾驶安全性下降。
发明内容
有鉴于此，本发明旨在提出一种车辆功能服务推荐方法，以降低用户思考和使用的时间成本，同时大大增加了驾驶安全性。
为达到上述目的，本发明的技术方案是这样实现的：
一种车辆功能服务推荐方法，该方法包括：检测车辆状态数据；根据所述车辆状态数据，基于车辆推荐数据库，进行车辆功能服务推荐，其中所述车辆推荐数据库包括所述车辆状态数据与用户个人习惯的车辆功能服务的对应关系。
进一步的，所述车辆状态数据包括：车辆位置数据、车速数据、油门使用数据、刹车使用数据、发动机数据以及空调运行状态数据中的至少一者。
进一步的，所述车辆推荐数据库通过以下方式建立：根据历史的车辆状态数据和多个驾驶场景，建立所述车辆状态数据和所述多个驾驶场景的对应关系；在所述多个驾驶场景下，采集用户个人使用的车辆功能服务；根据所述多个驾驶场景和所述用户个人使用的车辆功能服务，建立所述多个驾驶场景与所述用户个人习惯的车辆功能服务的对应关系；根据所述车辆状态数据和所述多个驾驶场景的对应关系以及所述多个驾驶场景与所述用户个人习惯的车辆功能服务的对应关系，得到所述车辆状态数据与所述用户个人习惯的车辆功能服务的对应关系，从而形成所述车辆推荐数据库。
进一步的，在检测车辆状态数据之后，该方法还包括：获取当前用户的个人信息；根据所述当前用户的个人信息，基于车辆推荐数据库，获得针对所述当前用户的车辆状态数据与用户个人习惯的车辆功能服务的对应关系；根据所述车辆状态数据，基于针对 所述当前用户的车辆状态数据与用户个人习惯的车辆功能服务的对应关系，进行车辆功能服务推荐。
进一步的，在进行车辆功能服务推荐之后，该方法还包括：响应于用户的回应结果和/或所述用户的历史回应结果，调整所述车辆状态数据与所述用户个人习惯的车辆功能服务的对应关系。
相对于现有技术，本发明所述的车辆功能服务推荐方法具有以下优势：
本发明所述的车辆功能服务推荐方法通过检测车辆状态数据，并根据所述车辆状态数据，基于车辆推荐数据库，进行车辆功能服务推荐。由于根据车辆推荐数据库进行的推荐，不仅可以使推荐的内容较为合适，同时不用用户进行思考和操作，降低了用户思考和使用的时间成本，也大大增加了驾驶安全性。
本发明的另一目的在于提出一种车辆功能服务推荐装置，以降低用户思考和使用的时间成本，同时大大增加了驾驶安全性。
为达到上述目的，本发明的技术方案是这样实现的：
一种车辆功能服务推荐装置，该装置包括：检测单元以及推荐单元，其中，所述检测单元用于检测车辆状态数据；所述推荐单元用于根据所述车辆状态数据，基于车辆推荐数据库，进行车辆功能服务推荐，其中所述车辆推荐数据库包括所述车辆状态数据与用户个人习惯的车辆功能服务的对应关系。
进一步的，所述车辆状态数据包括：车辆位置数据、车速数据、油门使用数据、刹车使用数据、发动机数据以及空调运行状态数据中的至少一者。
进一步的，该装置还包括数据库建立单元，用于：根据历史的车辆状态数据和多个驾驶场景，建立所述车辆状态数据和所述多个驾驶场景的对应关系；在所述多个驾驶场景下，采集用户个人使用的车辆功能服务；根据所述多个驾驶场景和所述用户个人使用的车辆功能服务，建立所述多个驾驶场景与所述用户个人习惯的车辆功能服务的对应关系；根据所述车辆状态数据和所述多个驾驶场景的对应关系以及所述多个驾驶场景与所述用户个人习惯的车辆功能服务的对应关系，得到所述车辆状态数据与所述用户个人习惯的车辆功能服务的对应关系，从而形成所述车辆推荐数据库。
进一步的，该装置还包括：获取单元，用于获取当前用户的个人信息；所述推荐单元还用于根据所述当前用户的个人信息，基于车辆推荐数据库，获得针对所述当前用户的车辆状态数据与用户个人习惯的车辆功能服务的对应关系；根据所述车辆状态数据，基于针对所述当前用户的车辆状态数据与用户个人习惯的车辆功能服务的对应关系，进 行车辆功能服务推荐。
进一步的，该装置还包括调整单元，在进行车辆功能服务推荐之后，该调整单元用于：响应于用户的回应结果和/或所述用户的历史回应结果，调整所述车辆状态数据与所述用户个人习惯的车辆功能服务的对应关系。
所述车辆功能服务推荐装置与上述车辆功能服务推荐方法相对于现有技术所具有的优势相同，在此不再赘述。
本发明的另一目的在于提出一种机器可读存储介质，以降低用户思考和使用的时间成本，同时大大增加了驾驶安全性。
为达到上述目的，本发明的技术方案是这样实现的：
一种机器可读存储介质，所述机器可读存储介质包括存储器，所述存储器上存储有指令，所述指令用于使得机器能够执行上文所述的车辆功能服务推荐方法。
所述机器可读存储介质与上述车辆功能服务推荐方法相对于现有技术所具有的优势相同，在此不再赘述。
本发明的另一目的在于提出一种车辆，以降低用户思考和使用的时间成本，同时大大增加了驾驶安全性。
为达到上述目的，本发明的技术方案是这样实现的：
一种车辆，该车辆包括上文所述的车辆功能服务推荐装置。
所述车辆与上述车辆功能服务推荐装置相对于现有技术所具有的优势相同，在此不再赘述。
本发明的其它特征和优点将在随后的具体实施方式部分予以详细说明。
构成本发明的一部分的附图用来提供对本发明的进一步理解，本发明的示意性实施方式及其说明用于解释本发明，并不构成对本发明的不当限定。在附图中：
图1是本发明一实施例提供的车辆功能服务推荐方法的流程图；
图2是本发明一实施例提供的车辆推荐数据库建立方法的流程图；
图3是本发明另一实施例提供的车辆功能服务推荐方法的流程图；
图4是本发明一实施例提供的车辆功能服务推荐装置的结构示意图。
附图标记说明：
1 检测单元 2 推荐单元
3 数据库建立单元 4 调整单元
5 获取单元。
需要说明的是，在不冲突的情况下，本发明中的实施方式及实施方式中的特征可以相互组合。
下面将参考附图并结合实施方式来详细说明本发明。
图1是本发明一实施例提供的车辆功能服务推荐方法的流程图。如图1所示，该方法包括：
步骤S11，检测车辆状态数据；
具体地，车辆状态数据可以包括车辆位置数据、车速数据、油门使用数据、刹车使用数据、发动机数据或空调运行状态数据等等。该车辆状态数据由电子控制单元(Electronic Control Unit，ECU)产生，并通过控制器局域网络(Controller Area Network,，CAN)传输至车载娱乐系统(In-Vehicle Infotainment，IVI，又称HU)，HU再通过CAN将自身数据(主要是多媒体数据)以及ECU产生的数据上传至后台。
后台接收到数据后在服务器进行存储，同时将不同车型数据进行标准化转换，实现数据格式的统一，方便后续数据使用与分析。
步骤S12，根据所述车辆状态数据，基于车辆推荐数据库，进行车辆功能服务推荐，其中所述车辆推荐数据库包括所述车辆状态数据与用户个人习惯的车辆功能服务的对应关系。
具体地，将车辆状态数据用到车辆推荐数据库中，寻找与车辆状态数据匹配的车辆功能服务。该车辆功能服务一般是用户个人习惯的服务，车辆状态数据与车辆功能服务的对应关系可以通过用户事先输入进行配置，也可以由车辆自行进行学习。在找到与当前车辆状态数据匹配的车辆功能服务之后，将该车辆功能服务推荐给用户。例如，车辆状态数据为5分钟内，收到油门踏板与刹车踏板交叉使用次数超过15次，认为正在堵车，而用户个人习惯在堵车时收听相声，那么推荐播放相声节目；如果同时接收了HU发送的多媒体数据，则还可以判断在当前多媒体数据显示未播放相声节目时，才推荐播放相声节目。
当然，车辆功能服务也可以是用户通用习惯的服务，即不存在爱好等影响因素的 车辆功能服务，例如，车辆状态数据为车速为0，刹车和油门均未使用，发动机刚启动，则是刚上车启动车辆，此时判断车内温度是否过高/低，从而进行与这些车辆状态数据对应的空调功能的推荐。
以下提供一种由车辆自行进行学习形成车辆推荐数据库的方法，主要针对车辆状态数据与用户个人习惯的车辆功能服务的对应关系的形成。
图2是本发明一实施例提供的车辆推荐数据库建立方法的流程图。如图2所示，该方法包括：
步骤S21，根据历史的车辆状态数据和多个驾驶场景，建立所述车辆状态数据和所述多个驾驶场景的对应关系；
具体地，首先建立的是车辆状态数据和驾驶场景的对应关系。后台根据大量车辆实际驾驶场景下的车辆状态数据进行分析，抽取它们的共同特征，使用它们的共同特征作为车辆状态数据与驾驶场景建立对应关系，该对应关系因为驾驶场景的不同，可以针对多个不同驾驶场景有多种对应关系。
步骤S22，在所述多个驾驶场景下，采集用户个人使用的车辆功能服务；
例如，在堵车的驾驶场景下，采集到用户喜欢听相声；在驾驶畅通的驾驶场景下，采集到用户喜欢听流行歌曲等等。
步骤S23，根据所述多个驾驶场景和所述用户个人使用的车辆功能服务，建立所述多个驾驶场景与所述用户个人习惯的车辆功能服务的对应关系；
具体地，将上述步骤S22采集到的车辆功能服务以及采集时的驾驶场景建立对应关系。
步骤S24，根据所述车辆状态数据和所述多个驾驶场景的对应关系以及所述多个驾驶场景与所述用户个人习惯的车辆功能服务的对应关系，得到所述车辆状态数据与所述用户个人习惯的车辆功能服务的对应关系，从而形成所述车辆推荐数据库。
具体地，在步骤S21已经得到车辆状态数据和驾驶场景的对应关系，步骤S23已经得到多个驾驶场景和用户个人使用的车辆功能服务的对应关系的情况下，可以利用驾驶场景作为中间量进行对应转化得到车辆状态数据和用户个人使用的车辆功能服务的对应关系。该对应关系即是车辆推荐数据库需要的对应关系，车辆推荐数据库建立完成。
由于同一车辆可能有不同的用户进行使用，因此本发明还提供一种针对该种情况的推荐执行方法。
图3是本发明另一实施例提供的车辆功能服务推荐方法的流程图。如图3所示， 该方法包括：
步骤S31，检测车辆状态数据；
具体地，在本实施例中与上述实施例相似，同样需要检测车辆状态数据。
步骤S32，获取当前用户的个人信息；
具体地，可以获取当前用户，即当前驾驶员的个人信息。获取方式可以是用户上车后进行个人信息的输入，或者是用户手握方向盘后指纹的采集，或者是人脸的识别等。
步骤S33，根据所述当前用户的个人信息，基于车辆推荐数据库，获得针对所述当前用户的车辆状态数据与用户个人习惯的车辆功能服务的对应关系；
具体地，对于支持多个不同用户的车辆推荐数据库，车辆推荐数据库中存有针对每个用户的车辆状态数据与用户个人习惯的车辆功能服务的对应关系，而每个用户的车辆状态数据与用户个人习惯的车辆功能服务的对应关系都对应有该用户的个人信息。因此，可以基于当前用户的个人信息，先调用当前用户的车辆状态数据与用户个人习惯的车辆功能服务的对应关系。
步骤S34，根据所述车辆状态数据，基于针对所述当前用户的车辆状态数据与用户个人习惯的车辆功能服务的对应关系，进行车辆功能服务推荐。
具体地，在调用当前用户的车辆状态数据与用户个人习惯的车辆功能服务的对应关系之后，可以进行有针对性的调用，这样基于车辆状态数据推荐的功能服务适合当前用户，满足不同用户使用车辆的需求。
另外，在本发明实施例中，当从车辆推荐数据库得到推荐消息后，服务器下发相应推荐消息至HU，推荐消息可以包括推荐的功能配置、服务内容，也可以包括各功能服务的具体参数。例如，推荐开空调，制冷，23℃，外循环，吹面模式等等。
HU接收到推荐消息后，可以通过语音播报或文字弹框的功能向用户进行咨询，询问是否需要某某功能/服务。用户可通过语音或点击多媒体按钮的形式进行回复。用户接受推荐后，HU将推荐消息中的功能服务以及参数设置，通过CAN传递至目标ECU，目标ECU收到信息后执行相应操作。
响应于用户的回应结果(采纳或拒绝等)和/或用户的历史回应结果，服务器可以调整所述车辆状态数据与所述用户个人习惯的车辆功能服务的对应关系。例如某次堵车的驾驶场景推荐相声节目，却收到拒绝的回应结果，那么可以取消堵车的驾驶场景与相声节目的对应关系；或者，在上述收到拒绝的回应结果的同时，该用户曾经也对堵车的驾驶场景推荐相声节目进行过一次或多次拒绝，可以取消堵车的驾驶场景与相声节目的 对应关系。
本发明根据用户的偏好与使用的规律等信息，对用户用车过程中的功能服务需求进行预判，并推荐消息，用户仅需简单通过语音等方式回复即可执行或拒绝相应操作，在降低用户思考和使用的时间成本的同时，大大增加了驾驶安全性。
图4是本发明一实施例提供的车辆功能服务推荐装置的结构示意图。如图4所示，该装置包括：检测单元1以及推荐单元2，其中，所述检测单元1用于检测车辆状态数据；所述推荐单元2用于根据所述车辆状态数据，基于车辆推荐数据库，进行车辆功能服务推荐，其中所述车辆推荐数据库包括所述车辆状态数据与用户个人习惯的车辆功能服务的对应关系。
进一步的，所述车辆状态数据包括：车辆位置数据、车速数据、油门使用数据、刹车使用数据、发动机数据以及空调运行状态数据中的至少一者。
进一步的，该装置还包括数据库建立单元3，用于：根据历史的车辆状态数据和多个驾驶场景，建立所述车辆状态数据和所述多个驾驶场景的对应关系；在所述多个驾驶场景下，采集用户个人使用的车辆功能服务；根据所述多个驾驶场景和所述用户个人使用的车辆功能服务，建立所述多个驾驶场景与所述用户个人习惯的车辆功能服务的对应关系；根据所述车辆状态数据和所述多个驾驶场景的对应关系以及所述多个驾驶场景与所述用户个人习惯的车辆功能服务的对应关系，得到所述车辆状态数据与所述用户个人习惯的车辆功能服务的对应关系，从而形成所述车辆推荐数据库。
进一步的，该装置还包括：获取单元5，用于获取当前用户的个人信息；所述推荐单元2还用于根据所述当前用户的个人信息，基于车辆推荐数据库，获得针对所述当前用户的车辆状态数据与用户个人习惯的车辆功能服务的对应关系；根据所述车辆状态数据，基于针对所述当前用户的车辆状态数据与用户个人习惯的车辆功能服务的对应关系，进行车辆功能服务推荐。
进一步的，该装置还包括调整单元4，在进行车辆功能服务推荐之后，该调整单元用于：响应于用户的回应结果和/或用户的历史回应结果，调整所述车辆状态数据与所述用户个人习惯的车辆功能服务的对应关系。
上述车辆功能服务推荐装置的实施例与上文所述的车辆功能服务推荐方法的实施例类似，在此不再赘述。
本发明还提供一种机器可读存储介质，所述机器可读存储介质包括存储器，所述存储器上存储有指令，所述指令用于使得机器能够执行上文所述的车辆功能服务推荐方 法。
上述机器可读存储介质的实施例与上文所述的车辆功能服务推荐方法的实施例类似，在此不再赘述。
以上所述仅为本发明的较佳实施方式而已，并不用以限制本发明，凡在本发明的精神和原则之内，所作的任何修改、等同替换、改进等，均应包含在本发明的保护范围之内。
Claims (12)
- 一种车辆功能服务推荐方法，其特征在于，该方法包括：检测车辆状态数据；根据所述车辆状态数据，基于车辆推荐数据库，进行车辆功能服务推荐，其中所述车辆推荐数据库包括所述车辆状态数据与用户个人习惯的车辆功能服务的对应关系。
- 根据权利要求1所述的车辆功能服务推荐方法，其特征在于，所述车辆状态数据包括：车辆位置数据、车速数据、油门使用数据、刹车使用数据、发动机数据以及空调运行状态数据中的至少一者。
- 根据权利要求1所述的车辆功能服务推荐方法，其特征在于，所述车辆推荐数据库通过以下方式建立：根据历史的车辆状态数据和多个驾驶场景，建立所述车辆状态数据和所述多个驾驶场景的对应关系；在所述多个驾驶场景下，采集用户个人使用的车辆功能服务；根据所述多个驾驶场景和所述用户个人使用的车辆功能服务，建立所述多个驾驶场景与所述用户个人习惯的车辆功能服务的对应关系；根据所述车辆状态数据和所述多个驾驶场景的对应关系以及所述多个驾驶场景与所述用户个人习惯的车辆功能服务的对应关系，得到所述车辆状态数据与所述用户个人习惯的车辆功能服务的对应关系，从而形成所述车辆推荐数据库。
- 根据权利要求1所述的车辆功能服务推荐方法，其特征在于，在检测车辆状态数据之后，该方法还包括：获取当前用户的个人信息；根据所述当前用户的个人信息，基于车辆推荐数据库，获得针对所述当前用户的车辆状态数据与用户个人习惯的车辆功能服务的对应关系；根据所述车辆状态数据，基于针对所述当前用户的车辆状态数据与用户个人习惯的车辆功能服务的对应关系，进行车辆功能服务推荐。
- 根据权利要求1所述的车辆功能服务推荐方法，其特征在于，在进行车辆功能服务推荐之后，该方法还包括：响应于用户的回应结果和/或所述用户的历史回应结果，调整所述车辆状态数据与所述用户个人习惯的车辆功能服务的对应关系。
- 一种车辆功能服务推荐装置，其特征在于，该装置包括：检测单元以及推荐单元，其中，所述检测单元用于检测车辆状态数据；所述推荐单元用于根据所述车辆状态数据，基于车辆推荐数据库，进行车辆功能服务推荐，其中所述车辆推荐数据库包括所述车辆状态数据与用户个人习惯的车辆功能服务的对应关系。
- 根据权利要求6所述的车辆功能服务推荐装置，其特征在于，所述车辆状态数据包括：车辆位置数据、车速数据、油门使用数据、刹车使用数据、发动机数据以及空调运行状态数据中的至少一者。
- 根据权利要求6所述的车辆功能服务推荐装置，其特征在于，该装置还包括数据库建立单元，用于：根据历史的车辆状态数据和多个驾驶场景，建立所述车辆状态数据和所述多个驾驶场景的对应关系；在所述多个驾驶场景下，采集用户个人使用的车辆功能服务；根据所述多个驾驶场景和所述用户个人使用的车辆功能服务，建立所述多个驾驶场景与所述用户个人习惯的车辆功能服务的对应关系；根据所述车辆状态数据和所述多个驾驶场景的对应关系以及所述多个驾驶场景与所述用户个人习惯的车辆功能服务的对应关系，得到所述车辆状态数据与所述用户个人习惯的车辆功能服务的对应关系，从而形成所述车辆推荐数据库。
- 根据权利要求6所述的车辆功能服务推荐装置，其特征在于，该装置还包括：获取单元，用于获取当前用户的个人信息；所述推荐单元还用于：根据所述当前用户的个人信息，基于车辆推荐数据库，获得针对所述当前用户的车辆状态数据与用户个人习惯的车辆功能服务的对应关系；根据所述车辆状态数据，基于针对所述当前用户的车辆状态数据与用户个人习惯的车辆功能服务的对应关系，进行车辆功能服务推荐。
- 根据权利要求6所述的车辆功能服务推荐装置，其特征在于，该装置还包括调整单元，在进行车辆功能服务推荐之后，该调整单元用于：响应于用户的回应结果和/或所述用户的历史回应结果，调整所述车辆状态数据与所述用户个人习惯的车辆功能服务的对应关系。
- 一种机器可读存储介质，其特征在于，所述机器可读存储介质包括存储器，所述存储器上存储有指令，所述指令用于使得机器能够执行根据权利要求1至5中任一项所述的车辆功能服务推荐方法。
- 一种车辆，其特征在于，该车辆包括权利要求6-10中任意一项权利要求所述的车辆功能服务推荐装置。
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