Vehicle Seat Comfort Adaptation via Cloud-Based Data Conversion
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing vehicle seat adjustment systems fail to provide consistent comfort across different vehicle types, as they lack the ability to transfer and adapt seat adjustment data between vehicles, leading to suboptimal seating experiences for users.
Innovation Solution
A system and method that retrieves a user's identifier and stores seat adjustment data in one vehicle, converts this data using estimated morphology and dimensional data, and transmits it to another vehicle of a different type for automatic seat adjustment, ensuring similar comfort levels across various vehicle models.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If seat adjustment data is stored locally in each vehicle, then the adjustment is simple and fast, but the comfort consistency across different vehicle types cannot be achieved
Solution Approach 1:
A centralized server acts as an intermediary between vehicles and users. The server stores seat adjustment data associated with user identifiers and vehicle identifiers, and performs the conversion of adjustment parameters between different vehicle types. This mediator approach enables comfort consistency across different vehicles without requiring complex local conversion systems in each vehicle.
Solution Approach 2:
The solution moves from a single-vehicle local storage approach to a multi-vehicle cloud-based storage approach. By adding the dimension of network connectivity and centralized database storage, the system can access and convert adjustment data across different vehicle types, transforming the problem from local parameter conversion to remote data retrieval and conversion.
2Measurement precision
If extensive sensor networks are deployed to capture user morphology, then accurate seat adjustment can be achieved, but the system complexity and cost increase significantly
Solution Approach 1:
The system performs preliminary action by storing seat adjustment data in advance on the server, associated with user identifiers. When a user accesses a vehicle, the pre-stored data is retrieved and converted, eliminating the need for real-time morphology measurement. This preliminary data capture approach achieves accurate adjustment without requiring complex sensor networks at the time of use.
Solution Approach 2:
Instead of measuring user morphology directly in each vehicle using sensors, the system creates a digital copy of the user's preferred seat adjustment parameters and stores it on the server. This copy is then retrieved and adapted for different vehicles, replacing the need for physical measurement devices with data replication.
3Manufacturing precision
If seat adjustment parameters are converted using only vehicle dimensional data, then the conversion process is simple, but the accuracy of comfort transfer between different vehicle types is reduced
Solution Approach 1:
The conversion system changes multiple parameters simultaneously: it retrieves the original seat adjustment parameters, obtains dimensional data for both the source and target vehicles, and applies conversion algorithms that consider various geometric and ergonomic parameters. This multi-parameter approach improves conversion accuracy while keeping the system manageable through standardized processing routines.
Data Source
AI summary
A system and method for adjusting seats of different vehicles, wherein the vehicles comprise means for retrieving an identifier of a seat user, wherein the system comprises means for storing data of seat adjustments made by an identified user in a first vehicle which are associated with the user identifier, comprises means for transmitting the seat adjustment data of the first vehicle and user identifier data to a second vehicle of a different type than the first vehicle, and comprises means for converting seat adjustment data of the first vehicle into seat adjustment data of the second vehicle so as to offer the user similar comfort in vehicles of different types.