Vehicle Voice Scene Update via Cloud Segmentation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current vehicle update methods, particularly Over the Air (OTA) upgrades, are lengthy and costly, resulting in infrequent updates and low efficiency in updating voice scene data.
Innovation Solution
A voice scene update method and device that actively request the cloud to determine and transmit target voice scene data, allowing for real-time updates of vehicle voice scene data without waiting for complete upgrade packets.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If OTA full-system upgrade is used to update voice scene data, then system reliability is maintained, but update speed and efficiency deteriorate due to lengthy development time and high costs
Solution Approach 1:
The patent segments the update process into two independent parts: full-system OTA upgrade for critical components and a separate lightweight update mechanism specifically for voice scene data. This allows voice scene updates to occur independently without requiring complete system re-upgrades, significantly reducing update time and complexity while maintaining system reliability.
Solution Approach 2:
The patent extracts voice scene data updates from the traditional OTA full-system upgrade process. By separating voice scene data into an independent updateable component, the system enables rapid updates of voice scenarios without being constrained by the lengthy development and deployment cycle of complete system upgrades.
2Productivity
If voice scene data is included in complete upgrade packets, then data consistency is maintained, but update efficiency deteriorates due to large packet sizes and long download times
Solution Approach 1:
The patent extracts voice scene data from large complete upgrade packets, creating a separate lightweight update mechanism. This extraction allows voice scene data to be updated in small, targeted packets that are much faster to download and install, dramatically improving update efficiency while reducing data transmission volume.
Solution Approach 2:
The patent segments update data into specific voice scene components rather than transmitting entire system upgrade packets. This segmentation enables the system to download and apply only the necessary voice scene updates, reducing data volume and improving productivity.
3Adaptability or versatility
If traditional OTA upgrade process is used, then comprehensive system updates are achieved, but update frequency deteriorates due to long development cycles
Solution Approach 1:
The patent extracts voice scene data updates from the traditional long-cycle OTA process, enabling independent and frequent updates. This extraction allows the system to update voice scenes rapidly without waiting for comprehensive system upgrade cycles, significantly increasing update frequency and adaptability.
Solution Approach 2:
The patent implements preliminary action by pre-processing and preparing voice scene data for independent deployment. This allows voice scene updates to be ready and available for immediate installation without requiring the lengthy preparation time of full system upgrades, thereby increasing update frequency.
Data Source
AI summary
The present application provides a voice scene update method, including: sending an update request to a cloud, the update request enables the cloud to obtain version information of vehicle voice scene data and version information of at least one piece of cloud voice scene data in real time to determine whether updatable voice scene data exists or not and determine target voice scene data when the updatable voice scene data exists, the at least one piece of cloud voice scene data includes new-version cloud voice scene data obtained by updating original-version cloud voice scene data based on no-feedback voice information, and the no-feedback voice information is a voice that no feedback is capable of being given for based on the vehicle voice scene data; receiving the target voice scene data returned by the cloud; and updating the vehicle voice scene data into the target voice scene data.