CN116010699A - Scene recommendation method and device for vehicle, electronic equipment and storage medium - Google Patents
Scene recommendation method and device for vehicle, electronic equipment and storage medium Download PDFInfo
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Abstract
The application relates to the technical field of internet of vehicles, in particular to a scene recommendation method and device for vehicles, electronic equipment and a storage medium, wherein the method comprises the following steps: collecting voice data of a user, and analyzing the voice data to obtain current requirements; the method comprises the steps of sending current demands to a target cloud and receiving target quick applications which are sent by the target cloud and are obtained based on current demand matching; and verifying the target quick application, and loading the target quick application on a vehicle screen when the target quick application passes the verification and the target quick application meets the preset starting condition. Therefore, the problems that a user needs to download a quick application to use related application services, memory occupation is large, driving safety is easy to cause and the like are solved, the required quick application is dynamically matched by collecting the required audio information of the user, the user needs are intelligently responded, the installation process is omitted, and driving safety and driving experience of the user are improved.
Description
Technical Field
The application relates to the technical field of internet of vehicles, in particular to a scene recommendation method and device for vehicles, electronic equipment and a storage medium.
Background
With the rapid development of vehicle technology and the improvement of the living standard of people, vehicles have been popularized into thousands of households. However, as the usage rate of vehicles increases, the usage requirements of users have not been met in the intelligent scene recommendation function, so that intelligent scene recommendation has become an indispensable application function, so as to meet the diversified usage requirements of users.
In the related art, a user is often required to download a corresponding software installation package in advance in a vehicle, so that related application services are used.
However, the installation package occupies a relatively large memory, and downloading the installation package in driving is easy to bring unsafe factors, so that the driving experience of a user is affected, and the problem needs to be solved.
Disclosure of Invention
The application provides a scene recommendation method, device, electronic equipment and storage medium for vehicles, and aims to solve the problems that a user needs to download a quick application to use related application services, so that memory occupation is large and driving safety is easy to cause and the like.
An embodiment of a first aspect of the present application provides a scene recommendation method for a vehicle, including the following steps:
collecting voice data of a user, and analyzing the voice data to obtain current requirements;
the current demand is sent to a target cloud, and a target quick application which is sent by the target cloud and is obtained based on the current demand matching is received; and
and verifying the target quick application, and loading the target quick application on a vehicle screen when the target quick application passes the verification and the target quick application meets a preset starting condition.
According to one embodiment of the present application, the parsing the voice data to obtain the current requirement includes:
parsing the speech data based on ASR (Automatic Speech Recognition, automatic speech recognition technique) to obtain text information and mood information;
and obtaining the current requirement according to the text information and the mood information.
According to one embodiment of the present application, the target quick application is provided with a tag label, and the verifying the target quick application includes:
judging whether the tag label is set in the target quick application or not;
if the tag label is set in the target quick application, judging that the target quick application verification passes, otherwise, judging that the target quick application verification fails.
According to one embodiment of the present application, after the target fast application verification is passed, the method further includes:
and if the target quick application does not meet the preset starting condition, updating the local quick application based on the target quick application.
According to an embodiment of the present application, the preset starting condition is that the current vehicle is not in a reverse running condition and/or the vehicle navigation is not in a running state.
According to the scene recommendation method of the vehicle, the current demand is obtained by collecting and analyzing voice data of a user, the current demand is sent to the target cloud, the target quick application obtained based on current demand matching and sent by the target cloud is received, and when the target quick application passes verification, and the target quick application meets the preset starting condition, the target quick application is loaded on a screen of the vehicle. Therefore, the problems that a user needs to download a quick application to use related application services, memory occupation is large, driving safety is easy to cause and the like are solved, the required quick application is dynamically matched by collecting the required audio information of the user, the user needs are intelligently responded, the installation process is omitted, and driving safety and driving experience of the user are improved.
An embodiment of a second aspect of the present application provides a scene recommendation device for a vehicle, including:
the acquisition module is used for acquiring voice data of a user and analyzing the voice data to obtain current requirements;
the receiving module is used for sending the current demand to a target cloud and receiving a target quick application which is sent by the target cloud and is obtained based on the current demand matching; and
and the verification module is used for verifying the target quick application, and loading the target quick application on a vehicle screen when the target quick application passes the verification and the target quick application meets the preset starting condition.
According to one embodiment of the present application, the acquisition module is specifically configured to:
analyzing the voice data based on an automatic voice recognition technology ASR to obtain text information and mood information;
and obtaining the current requirement according to the text information and the mood information.
According to one embodiment of the present application, the verification module is specifically configured to:
judging whether the tag label is set in the target quick application or not;
if the tag label is set in the target quick application, judging that the target quick application verification passes, otherwise, judging that the target quick application verification fails.
According to one embodiment of the present application, after the target fast application verification passes, the verification module is further configured to:
and if the target quick application does not meet the preset starting condition, updating the local quick application based on the target quick application.
According to an embodiment of the present application, the preset starting condition is that the current vehicle is not in a reverse running condition and/or the vehicle navigation is not in a running state.
According to the scene recommendation device of the vehicle, the current demand is obtained by collecting and analyzing voice data of a user, the current demand is sent to the target cloud, the target quick application obtained based on current demand matching and sent by the target cloud is received, and when the target quick application passes verification, and the target quick application meets the preset starting condition, the target quick application is loaded on a screen of the vehicle. Therefore, the problems that a user needs to download a quick application to use related application services, memory occupation is large, driving safety is easy to cause and the like are solved, the required quick application is dynamically matched by collecting the required audio information of the user, the user needs are intelligently responded, the installation process is omitted, and driving safety and driving experience of the user are improved.
An embodiment of a third aspect of the present application provides an electronic device, including: the system comprises a memory, a processor and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the program to realize the scene recommendation method of the vehicle according to the embodiment.
An embodiment of a fourth aspect of the present application provides a computer-readable storage medium having stored thereon a computer program that is executed by a processor for implementing the scene recommendation method of a vehicle as described in the above embodiment.
Additional aspects and advantages of the application will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the application.
Drawings
The foregoing and/or additional aspects and advantages of the present application will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings, in which:
fig. 1 is a flowchart of a method for recommending a scene of a vehicle according to an embodiment of the present application;
FIG. 2 is a specific flow diagram according to one embodiment of the present application;
FIG. 3 is a schematic illustration of an implementation effect case according to one embodiment of the present application;
FIG. 4 is an example diagram of a scene recommender of a vehicle in accordance with an embodiment of the present application;
fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
Embodiments of the present application are described in detail below, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to like or similar elements or elements having like or similar functions throughout. The embodiments described below by referring to the drawings are exemplary and intended for the purpose of explaining the present application and are not to be construed as limiting the present application.
The following describes a scene recommendation method, a scene recommendation device, an electronic device and a storage medium of a vehicle according to embodiments of the present application with reference to the accompanying drawings. Aiming at the problems that the user needs to download the quick application to use the related application service, so that the memory occupation is large and the driving safety is easy to cause, the application provides a scene recommendation method of a vehicle. Therefore, the problems that a user needs to download a quick application to use related application services, memory occupation is large, driving safety is easy to cause and the like are solved, the required quick application is dynamically matched by collecting the required audio information of the user, the user needs are intelligently responded, the installation process is omitted, and driving safety and driving experience of the user are improved.
Specifically, before introducing an embodiment of the present application, first, related system modules related to the embodiment of the present application are respectively a vehicle-to-machine quick application framework module, a vehicle-to-machine end analysis service module, a cloud analysis module, and a vehicle-to-machine voice information acquisition module.
The vehicle-mounted voice information acquisition module is used for acquiring voice information of a user;
the vehicle-mounted terminal analysis service module is used for analyzing the voice information sent by the vehicle-mounted voice information acquisition module and sending the analyzed voice information to the cloud analysis module;
the cloud analysis module is used for analyzing the voice information intention of the user, searching a quick application database, matching corresponding quick applications rpk and identifying the quick applications rpk as services required by the user;
and the vehicle quick application framework module is used for automatically opening the quick application when the quick application is verified to be the service required by the user after receiving the quick application rpk sent by the cloud analysis module.
Specifically, fig. 1 is a flow chart of a scene recommendation method of a vehicle according to an embodiment of the present application.
As shown in fig. 1, the scene recommendation method of the vehicle includes the steps of:
in step S101, voice data of a user is collected, and the voice data is parsed to obtain a current demand.
Further, in some embodiments, parsing the voice data to obtain the current demand includes: analyzing voice data to obtain text information and mood information based on an automatic voice recognition technology ASR; and obtaining the current demand according to the text information and the mood information.
Specifically, as shown in fig. 2, in the embodiment of the present application, vehicle-mounted voice information collection module collects voice data of a user by using vehicle-mounted hardware, such as a microphone, and simultaneously sends the collected voice data of the user to a vehicle-mounted analysis service module, and analyzes the voice data through ASR voice recognition technology to obtain corresponding text information and mood information, and uses the text information and mood information as a combined sentence, and analyzes key information in the combined sentence, such as how? Sentence patterns of "," what "+" is good for "and the like are combined, so that the current requirement of the user is obtained.
In step S102, the current demand is sent to the target cloud, and a target quick application obtained based on the current demand matching and sent by the target cloud is received.
Specifically, as shown in fig. 3, after analyzing the current requirement of the user, the embodiment of the present application sends the sentence pattern combination of the text information and the mood information of the current requirement of the user to the cloud analysis module to obtain the key information in the combined sentence, such as how? And finally, obtaining a keyword 'weather', searching a quick application database by using the keyword, matching to obtain a corresponding target quick application rpk, sending the matched target quick application rpk to a vehicle quick application framework module, labeling rpk with tag, and identifying as application service required by a user.
In step S103, the target quick application is verified, and when the target quick application passes the verification, and the target quick application meets the preset starting condition, the target quick application is loaded on the vehicle screen.
Further, in some embodiments, the target quick application is provided with a tag, and verifying the target quick application includes: judging whether a tag label is set in the target quick application or not; if the target quick application is provided with the tag label, the target quick application verification is judged to pass, otherwise, the target quick application verification is judged to fail.
The preset starting condition is that the current vehicle is not in a reversing working condition and/or the vehicle navigation is not in a working state.
Specifically, after receiving the target quick application rpk, the quick application framework module of the vehicle machine in the embodiment of the application needs to verify the target quick application rpk provided with the tag label, and determines whether the target quick application rpk is loaded on the screen of the vehicle machine by judging whether the target quick application rpk has the tag label and whether the tag label needs to be opened.
Specifically, in this embodiment of the present application, if the vehicle quick application framework module first verifies whether the target quick application rpk is provided with a tag after receiving the target quick application rpk, if the target quick application rpk is provided with the tag, it is indicated that the target quick application rpk is an application service required by the user, and at this time, it is determined that the target quick application rpk is verified, otherwise, it is indicated that the target quick application rpk is not an application service required by the user, and it is determined that the target quick application rpk fails to be verified.
Further, in some embodiments, after the target fast application verifies, further comprising: and if the target quick application does not meet the preset starting condition, updating the local quick application based on the target quick application.
Specifically, after the target quick application rpk passes verification, the embodiment of the application needs to further determine whether the current vehicle is in a reversing working condition and/or the vehicle navigation is not in a working state, if the current vehicle is not in the reversing working condition and/or the vehicle navigation is not in the working state, the target quick application rpk meets a target quick application opening condition, and the target quick application rpk is loaded on a vehicle screen and displayed to a user; if the current vehicle is in a reversing working condition and/or the navigation of the vehicle is in a working state, and the target quick application rpk does not meet the target quick application starting condition, updating the local quick application based on the target quick application.
According to the scene recommendation method of the vehicle, the current demand is obtained by collecting and analyzing voice data of a user, the current demand is sent to the target cloud, the target quick application obtained based on current demand matching and sent by the target cloud is received, and when the target quick application passes verification, and the target quick application meets the preset starting condition, the target quick application is loaded on a screen of the vehicle. Therefore, the problems that a user needs to download a quick application to use related application services, memory occupation is large, driving safety is easy to cause and the like are solved, the required quick application is dynamically matched by collecting the required audio information of the user, the user needs are intelligently responded, the installation process is omitted, and driving safety and driving experience of the user are improved.
Next, a scene recommendation device of a vehicle according to an embodiment of the present application will be described with reference to the accompanying drawings.
Fig. 4 is a block schematic diagram of a scene recommendation device of a vehicle according to an embodiment of the present application.
As shown in fig. 4, the scene recommendation device 10 of the vehicle includes: the device comprises an acquisition module 100, a receiving module 200 and a verification module 300.
The collection module 100 is configured to collect voice data of a user, and parse the voice data to obtain a current requirement.
The receiving module 200 is configured to send the current demand to the target cloud, and receive a target quick application that is sent by the target cloud and is obtained based on the matching of the current demand.
And the verification module 300 is used for verifying the target quick application, and loading the target quick application on the vehicle screen when the target quick application passes the verification and the target quick application meets the preset starting condition.
Further, in some embodiments, the acquisition module 100 is specifically configured to:
analyzing voice data to obtain text information and mood information based on an automatic voice recognition technology ASR;
and obtaining the current demand according to the text information and the mood information.
Further, in some embodiments, the verification module 300 is specifically configured to:
judging whether a tag label is set in the target quick application or not;
if the target quick application is provided with the tag label, the target quick application verification is judged to pass, otherwise, the target quick application verification is judged to fail.
Further, in some embodiments, after the target fast application verifies, the verification module 300 is further configured to:
and if the target quick application does not meet the preset starting condition, updating the local quick application based on the target quick application.
Further, in some embodiments, the preset opening condition is that the current vehicle is not in a reverse running condition and/or the vehicle navigation is not in a running state.
According to the scene recommendation device of the vehicle, the current demand is obtained by collecting and analyzing voice data of a user, the current demand is sent to the target cloud, the target quick application obtained based on current demand matching and sent by the target cloud is received, and when the target quick application passes verification, and the target quick application meets the preset starting condition, the target quick application is loaded on a screen of the vehicle. Therefore, the problems that a user needs to download a quick application to use related application services, memory occupation is large, driving safety is easy to cause and the like are solved, the required quick application is dynamically matched by collecting the required audio information of the user, the user needs are intelligently responded, the installation process is omitted, and driving safety and driving experience of the user are improved.
Fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present application. The electronic device may include:
The processor 502 implements the scene recommendation method of the vehicle provided in the above embodiment when executing the program.
Further, the electronic device further includes:
a communication interface 503 for communication between the memory 501 and the processor 502.
The memory 501 may include high-speed RAM memory and may also include non-volatile memory (non-volatile memory), such as at least one disk memory.
If the memory 501, the processor 502, and the communication interface 503 are implemented independently, the communication interface 503, the memory 501, and the processor 502 may be connected to each other via a bus and perform communication with each other. The bus may be an industry standard architecture (Industry Standard Architecture, abbreviated ISA) bus, an external device interconnect (Peripheral Component, abbreviated PCI) bus, or an extended industry standard architecture (Extended Industry Standard Architecture, abbreviated EISA) bus, among others. The buses may be divided into address buses, data buses, control buses, etc. For ease of illustration, only one thick line is shown in fig. 5, but not only one bus or one type of bus.
Alternatively, in a specific implementation, if the memory 501, the processor 502, and the communication interface 503 are integrated on a chip, the memory 501, the processor 502, and the communication interface 503 may perform communication with each other through internal interfaces.
The processor 502 may be a central processing unit (Central Processing Unit, abbreviated as CPU), or an application specific integrated circuit (Application Specific Integrated Circuit, abbreviated as ASIC), or one or more integrated circuits configured to implement embodiments of the present application.
The embodiment of the application also provides a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the scene recommendation method of a vehicle as above.
In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present application. In this specification, schematic representations of the above terms are not necessarily directed to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or N embodiments or examples. Furthermore, the different embodiments or examples described in this specification and the features of the different embodiments or examples may be combined and combined by those skilled in the art without contradiction.
Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include at least one such feature. In the description of the present application, the meaning of "N" is at least two, such as two, three, etc., unless explicitly defined otherwise.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more N executable instructions for implementing specific logical functions or steps of the process, and further implementations are included within the scope of the preferred embodiment of the present application in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the embodiments of the present application.
Logic and/or steps represented in the flowcharts or otherwise described herein, e.g., a ordered listing of executable instructions for implementing logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or N wires, a portable computer cartridge (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium may even be paper or other suitable medium upon which the program is printed, as the program may be electronically captured, via, for instance, optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner, if necessary, and then stored in a computer memory.
It is to be understood that portions of the present application may be implemented in hardware, software, firmware, or a combination thereof. In the above-described embodiments, the N steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. As with the other embodiments, if implemented in hardware, may be implemented using any one or combination of the following techniques, as is well known in the art: discrete logic circuits having logic gates for implementing logic functions on data signals, application specific integrated circuits having suitable combinational logic gates, programmable Gate Arrays (PGAs), field Programmable Gate Arrays (FPGAs), and the like.
Those of ordinary skill in the art will appreciate that all or part of the steps carried out in the method of the above-described embodiments may be implemented by a program to instruct related hardware, and the program may be stored in a computer readable storage medium, where the program when executed includes one or a combination of the steps of the method embodiments.
In addition, each functional unit in each embodiment of the present application may be integrated in one processing module, or each unit may exist alone physically, or two or more units may be integrated in one module. The integrated modules may be implemented in hardware or in software functional modules. The integrated modules may also be stored in a computer readable storage medium if implemented as software functional modules and sold or used as a stand-alone product.
The above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, or the like. Although embodiments of the present application have been shown and described above, it will be understood that the above embodiments are illustrative and not to be construed as limiting the application, and that variations, modifications, alternatives, and variations may be made to the above embodiments by one of ordinary skill in the art within the scope of the application.
Claims (10)
1. A scene recommendation method of a vehicle, characterized by comprising the steps of:
collecting voice data of a user, and analyzing the voice data to obtain current requirements;
the current demand is sent to a target cloud, and a target quick application which is sent by the target cloud and is obtained based on the current demand matching is received; and
and verifying the target quick application, and loading the target quick application on a vehicle screen when the target quick application passes the verification and the target quick application meets a preset starting condition.
2. The method of claim 1, wherein said parsing the voice data to obtain current demand comprises:
analyzing the voice data based on an automatic voice recognition technology ASR to obtain text information and mood information;
and obtaining the current requirement according to the text information and the mood information.
3. The method of claim 2, wherein the target quick application is provided with a tag, and wherein the verifying the target quick application comprises:
judging whether the tag label is set in the target quick application or not;
if the tag label is set in the target quick application, judging that the target quick application verification passes, otherwise, judging that the target quick application verification fails.
4. The method of claim 3, further comprising, after the target fast application verifies, the step of:
and if the target quick application does not meet the preset starting condition, updating the local quick application based on the target quick application.
5. The method according to any one of claims 1-4, wherein the preset opening condition is that the current vehicle is not in a reverse running condition and/or that the vehicle navigation is not in a running condition.
6. A scene recommendation device of a vehicle, characterized by comprising:
the acquisition module is used for acquiring voice data of a user and analyzing the voice data to obtain current requirements;
the receiving module is used for sending the current demand to a target cloud and receiving a target quick application which is sent by the target cloud and is obtained based on the current demand matching; and
and the verification module is used for verifying the target quick application, and loading the target quick application on a vehicle screen when the target quick application passes the verification and the target quick application meets the preset starting condition.
7. The device according to claim 6, wherein the acquisition module is specifically configured to:
analyzing the voice data based on an automatic voice recognition technology ASR to obtain text information and mood information;
and obtaining the current requirement according to the text information and the mood information.
8. The apparatus of claim 7, wherein the verification module is specifically configured to:
judging whether the target quick application is provided with a tag label or not;
if the tag label is set in the target quick application, judging that the target quick application verification passes, otherwise, judging that the target quick application verification fails.
9. An electronic device, comprising: a memory, a processor and a computer program stored on the memory and executable on the processor, the processor executing the program to implement the scene recommendation method of a vehicle according to any one of claims 1-5.
10. A computer-readable storage medium having stored thereon a computer program, characterized in that the program is executed by a processor for realizing the scene recommendation method of a vehicle according to any one of claims 1-5.
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| CN202310028212.XA CN116010699A (en) | 2023-01-09 | 2023-01-09 | Scene recommendation method and device for vehicle, electronic equipment and storage medium |
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| CN202310028212.XA CN116010699A (en) | 2023-01-09 | 2023-01-09 | Scene recommendation method and device for vehicle, electronic equipment and storage medium |
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| CN202310028212.XA Pending CN116010699A (en) | 2023-01-09 | 2023-01-09 | Scene recommendation method and device for vehicle, electronic equipment and storage medium |
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