Vehicle-mounted device cloud scenario model for cross-vehicle settings
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Solution Overview
Problem
Users face inconvenience when switching vehicles as they need to re-set parameters, and existing systems only provide a single set of preference information, failing to adapt to different situations.
Innovation Solution
A method where a vehicle-mounted device obtains user identity and feature information, sends it to a network device, which generates an internal usage scenario model, allowing the device to adjust vehicle parameters accordingly, enabling seamless adaptation across different vehicles and scenarios.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If preference parameter information is stored locally in each vehicle, then parameter settings can be maintained within a single vehicle, but users cannot access their preference settings when switching to different vehicles
Solution Approach 1:
The patent introduces a cloud server as an intermediary between the user's mobile device and multiple vehicles. The server stores preference parameter information and enables retrieval across different vehicles, solving the problem of information loss when switching vehicles without requiring direct vehicle-to-vehicle communication.
Solution Approach 2:
The patent transitions from local storage (single-vehicle dimension) to cloud-based storage (network dimension). By moving preference parameter information to a remote server accessible via network, the system enables cross-vehicle access while maintaining data integrity, effectively adding a new dimensional layer to information storage.
2Adaptability or versatility
If only one group of preference parameter information is provided per user, then the system remains simple, but users cannot receive different preference settings for different situations
Solution Approach 1:
The patent segments preference parameter information into multiple distinct groups, each associated with different usage scenarios (e.g., driving, navigation, entertainment). This segmentation allows the system to provide scenario-specific settings while maintaining manageable organization through structured data categories on the cloud server.
Solution Approach 2:
The system pre-configures multiple groups of preference parameters for different scenarios before the user needs them. When a user selects a particular usage scenario, the corresponding pre-prepared parameter group is automatically retrieved and applied, eliminating the need for real-time configuration complexity.
3Ease of operation
If users manually set parameters each time they use a different vehicle, then each vehicle can be customized, but users experience significant time loss and inconvenience
Solution Approach 1:
The patent implements automatic parameter configuration where the system retrieves and applies preference settings without requiring manual user input. When a user enters a vehicle, the system automatically identifies the user, fetches the appropriate preference parameter group from the cloud server, and configures the vehicle settings autonomously, eliminating manual adjustment time.
Solution Approach 2:
Preference parameter information is pre-stored on the cloud server before the user needs it. When the user accesses a vehicle, the system retrieves the pre-configured settings instantly rather than requiring real-time manual configuration, significantly reducing the time and effort needed for parameter setup.
Data Source
AI summary
The method for setting an internal usage scenario of a vehicle is presented, which includes obtaining, by a vehicle-mounted device, identity information of a user and feature information, where the user is a user who is using a vehicle in which the vehicle-mounted device is located, and the feature information is used to represent an internal first usage scenario of the vehicle; sending, by the vehicle-mounted device, the identity information of the user and the feature information to a network device; receiving, by the vehicle-mounted device, an internal usage scenario model of the vehicle sent by the network device, where the model is obtained by the network device based on the identity information of the user and the feature information; and adjusting, by the vehicle-mounted device, a parameter of the vehicle according to the model.