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CN-121985016-A - Cloud local application non-inductive switching method, system, equipment and storage medium

CN121985016ACN 121985016 ACN121985016 ACN 121985016ACN-121985016-A

Abstract

The application discloses a cloud local application non-sensing switching method, a cloud local application non-sensing switching system, cloud local application non-sensing switching equipment and a cloud local application non-sensing switching storage medium, and relates to the technical field of cloud virtualization and intelligent vehicle-computer interaction. The scheme abandons the front loading of the complete cloud mirror image, takes a single application as a minimum operation unit, reduces the response time to be within a driving safety threshold, improves the safety, remarkably reduces the delay through intelligent preloading and example multiplexing, and realizes seamless fusion of cloud local experience through unified entrance, adaptation of UI and cabin hardware linkage and eliminates interactive fracture.

Inventors

  • HU XINKE
  • ZHANG LONG
  • WANG MING
  • CUI YINGJIE
  • ZHOU XIQIN
  • TIAN CAN
  • SHI JIAWEI
  • JIANG ZHONGLIN
  • CHEN YONG

Assignees

  • 浙江吉利控股集团有限公司
  • 吉利汽车研究院(宁波)有限公司

Dates

Publication Date
20260505
Application Date
20260123

Claims (12)

  1. 1. The cloud local application non-inductive switching method is characterized by being applied to a vehicle machine and comprising the following steps of: When a starting instruction is received, loading a locally stored cloud application list, and displaying the cloud application and the local application on a vehicle-computer interaction interface; Determining at least one preloaded cloud application based on historical usage data of each cloud application in the cloud application list under the condition that a current network is available; A pre-loading request is sent to a cloud end to trigger the cloud end to start the pre-loading cloud end application, and process unique numbers corresponding to all the pre-loading cloud end applications returned by the cloud end are received; Responding to a call operation instruction of a user to any target cloud application, initiating a data pulling request to the cloud according to a process unique number corresponding to the target cloud application, and receiving response data returned by the cloud.
  2. 2. The method of cloud local application non-inductive switching according to claim 1, wherein the step of determining at least one preloaded cloud application based on historical usage data of each cloud application in the cloud application list comprises: determining the use frequency of each cloud application according to the historical use data of each cloud application in the cloud application list; The cloud application with the use frequency higher than a preset frequency threshold is used as a candidate cloud application, and the most recently used time of each candidate cloud application is combined for sorting; And selecting the preloaded cloud applications with the number not exceeding a preset number threshold from the ranked candidate cloud applications.
  3. 3. The method for non-inductive switching of cloud local applications according to claim 1, wherein before the step of initiating the data pulling request to the cloud according to the process unique number corresponding to the target cloud application, the method further comprises: Judging whether the vehicle machine caches a process unique number corresponding to the target cloud application; if yes, the step is executed, a data pulling request is initiated to the cloud end according to the process unique number corresponding to the target cloud end application, and response data returned by the cloud end is received; If not, an application starting request is initiated to the cloud end so that the cloud end can start a target cloud end application based on the application starting request, and corresponding response data is returned to the vehicle after a process unique number corresponding to the target cloud end application is generated.
  4. 4. The cloud local application non-inductive handoff method of claim 3, wherein, The data pulling request comprises at least one of a user identifier, a cloud application unique identifier, the process unique number, a calling operation instruction for the cloud application, vehicle-machine system information and current network signal strength; The response data includes at least one of a status code, the process unique number, and an application video stream.
  5. 5. The method for switching between cloud local applications without sense according to claim 1, wherein after the step of receiving response data returned by the cloud, the method further comprises: Responding to an exit operation instruction of a user on a currently running cloud application through touch control or voice, sending an exit application request to the cloud for suspending the execution of the currently running cloud application and retaining the current running state of the currently running cloud application by the cloud so as to quickly recover when the currently running cloud application is called again within a preset time.
  6. 6. The cloud local application non-inductive switching method is applied to a cloud, a server is deployed on the cloud, and the method comprises the following steps: Receiving a preloading request sent by a vehicle machine; starting a pre-loaded cloud application through the server according to the pre-loading request, and generating a process unique number for identifying the pre-loaded cloud application, wherein the pre-loaded cloud application is determined by a vehicle machine based on historical use data of each cloud application in a locally stored cloud application list; returning the process unique number to the vehicle machine so that the vehicle machine initiates a data pulling request to the cloud according to the process unique number; Receiving a data pulling request sent by the vehicle machine; And acquiring corresponding response data through the server according to the data pulling request, and transmitting the response data to the vehicle machine.
  7. 7. The cloud local application non-inductive switching method of claim 6, wherein said response data includes at least an application video stream, a status code, and a process unique number; the step of acquiring corresponding response data through the server according to the data pulling request and transmitting the response data to the vehicle machine comprises the following steps: Outputting a real-time interface of the target cloud application as an application video stream according to a process unique number carried in the data pulling request; According to the current network signal strength contained in the data pulling request, adjusting the coding parameters of the application video stream to obtain an adjusted application video stream; And transmitting response data containing the adjusted application video stream, the process unique number and the state code to the vehicle.
  8. 8. The cloud local application non-inductive switching method of claim 6, wherein prior to the step of receiving the data pull request sent by the vehicle, further comprising: When an application starting request sent by a vehicle machine is received, starting a target cloud application indicated by the application starting request based on the current resource condition of a server side; After the target cloud application is initialized, acquiring interface output of the target cloud application as an application video stream, and generating a corresponding process unique number; And returning the process unique number and the application video stream to the vehicle.
  9. 9. The cloud local application non-inductive switching method of claim 7, wherein after the step of transmitting response data including the adjusted application video stream, the process unique number, and the status code to the vehicle, further comprising: When receiving an application exiting request sent by a vehicle machine, suspending execution of a currently running cloud application through a server side, and reserving a current running state of the currently running cloud application; and if a data pulling request aiming at the same user and corresponding to the same cloud application is received within a preset time period, the execution of the currently running cloud application is resumed, and an application video stream is transmitted to a vehicle end.
  10. 10. The cloud local application non-sensing switching system is characterized by comprising a vehicle machine and a cloud; the car machine includes: the application loading module is used for loading a locally stored cloud application list when a starting instruction is received, and displaying the cloud application and the local application on the vehicle-computer interaction interface; The preloading module is used for determining at least one preloading cloud application based on historical use data of each cloud application in the cloud application list under the condition that the current network is available; the cloud terminal comprises a request sending model, a cloud terminal application loading module and a cloud terminal application loading module, wherein the request sending model is used for sending a preloading request to a cloud terminal to trigger the cloud terminal to start the preloading cloud terminal application and receiving unique process numbers corresponding to the preloading cloud terminal applications returned by the cloud terminal; the application scheduling processing module is used for responding to a call operation instruction of a user to any target cloud application, initiating a data pulling request to the cloud according to a process unique number corresponding to the target cloud application, and receiving response data returned by the cloud; The cloud comprises: The receiving module is used for receiving a preloading request sent by the vehicle machine; The number generation module is used for starting a preloaded cloud application through a server according to the preloading request and generating a process unique number for identifying the preloaded cloud application, wherein the preloaded cloud application is determined by a vehicle machine based on historical use data of each cloud application in a locally stored cloud application list; The serial number sending module is used for returning the process unique serial number to the vehicle machine so that the vehicle machine can initiate a data pulling request to the cloud according to the process unique serial number; The receiving module is also used for receiving a data pulling request sent by the vehicle machine; and the response return module is used for acquiring corresponding response data through the server according to the data pulling request and transmitting the response data to the vehicle machine.
  11. 11. A cloud local application non-inductive switching device, characterized in that the device comprises a memory, a processor and a computer program stored on the memory and executable on the processor, the computer program being configured to implement the steps of the cloud local application non-inductive switching method according to any of claims 1 to 9.
  12. 12. A storage medium, characterized in that the storage medium is a computer-readable storage medium, on which a computer program is stored, which computer program, when being executed by a processor, implements the steps of the cloud local application non-inductive switching method according to any of claims 1 to 9.

Description

Cloud local application non-inductive switching method, system, equipment and storage medium Technical Field The application relates to the technical field of cloud virtualization and intelligent vehicle-computer interaction, in particular to a cloud local application non-inductive switching method, a cloud local application non-inductive switching system, cloud local application non-inductive switching equipment and a storage medium. Background With the popularization of intelligent networking automobiles, automobile machines are upgraded into cabin interaction centers, but are limited by hardware bottlenecks such as weak computing power, small storage and the like, and generally depend on cloud APP to complement local capability. However, the existing scheme directly transplants the call mode of 'starting a complete cloud mirror image → entering a desktop → opening an APP' of a mobile phone end, and is seriously not suitable for a airport scene: On one hand, the mirror image loading takes 8-12 seconds, the safety requirement of single operation in far exceeding driving is less than or equal to 2 seconds, distraction is easy to occur, and on the other hand, the whole mirror image resources are occupied highly, the vehicle is blocked, buffering is impossible, and the repeated calling delay is large. Meanwhile, interaction severely breaks, namely a voice command needs to wake up a mirror image first, a few seconds exist without response, an interface is designed according to a mobile phone transverse screen, the car is projected to be blocked in a staggered mode, a cloud APP operates in an isolation environment, cabin hardware such as an instrument panel and a HUD cannot be linked, a user is forced to turn around frequently, and risks are increased. The prior art either relies on touch icons, violates the voice limited logic of the car machine, or does not solve the fundamental conflict between 'mirror front-end start' and driving safety. Therefore, a fusion scheme designed for the characteristics of the automobile and the machine is needed, and the technical problems of high automobile and machine driving safety risk, large response delay and interactive experience cracking caused by the fact that the existing cloud APP calling scheme needs to start a complete cloud mirror image in advance can be solved. The foregoing is provided merely for the purpose of facilitating understanding of the technical solutions of the present application and is not intended to represent an admission that the foregoing is prior art. Disclosure of Invention The application mainly aims to provide a cloud local application non-inductive switching method, a cloud local application non-inductive switching system, cloud local application non-inductive switching equipment and a cloud local application non-inductive switching storage medium, and aims to solve the technical problems of high driving safety risk, large response delay and interactive experience cracking caused by the prior art. In order to achieve the above object, the present application provides a cloud local application non-inductive switching method, where the cloud local application non-inductive switching method is applied to a vehicle, and the method includes: When a starting instruction is received, loading a locally stored cloud application list, and displaying the cloud application and the local application on a vehicle-computer interaction interface; Determining at least one preloaded cloud application based on historical usage data of each cloud application in the cloud application list under the condition that a current network is available; A pre-loading request is sent to a cloud end to trigger the cloud end to start the pre-loading cloud end application, and process unique numbers corresponding to all the pre-loading cloud end applications returned by the cloud end are received; Responding to a call operation instruction of a user to any target cloud application, initiating a data pulling request to the cloud according to a process unique number corresponding to the target cloud application, and receiving response data returned by the cloud. In an embodiment, the step of determining at least one preloaded cloud application based on the historical usage data of each cloud application in the cloud application list includes: determining the use frequency of each cloud application according to the historical use data of each cloud application in the cloud application list; The cloud application with the use frequency higher than a preset frequency threshold is used as a candidate cloud application, and the most recently used time of each candidate cloud application is combined for sorting; And selecting the preloaded cloud applications with the number not exceeding a preset number threshold from the ranked candidate cloud applications. In an embodiment, before the step of initiating the corresponding call request to the cloud end according to the process unique