Vehicle Driving Position Adjustment via Big Data Server
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Solution Overview
Problem
Conventional integrated memory systems for vehicle driving position adjustment are limited by restricted hardware, requiring users to manually set positions, which is inconvenient, especially for multiple users with different body types and in carpooling scenarios where vehicle and driver changes frequently occur.
Innovation Solution
An apparatus and method that utilize big data to manage and adjust driving position information for each user through wireless communication with an external terminal, sensing door openings, and retrieving user-specific adjustment information from a big data server to automatically set optimal driving positions, including seat, mirror, and display adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional integrated memory system is used to store driving position information, then driving position can be adjusted, but the number of stored positions is limited to 2-3 due to hardware installation space restriction
Solution Approach 1:
The patent introduces a big data server as an intermediary external storage system. The vehicle's controller communicates with the big data server via communication module to store and retrieve driving position information. This externalizes the storage function, allowing virtually unlimited positions to be stored without increasing hardware installation space within the vehicle.
Solution Approach 2:
The patent transitions from local storage (within-vehicle memory) to cloud storage (external big data server). This dimensional shift from internal to external storage architecture enables the system to manage a large number of driving position profiles without being constrained by the physical space available in the vehicle's hardware.
2Measurement precision
If users manually set driving position for each user profile, then accurate positioning is achieved, but the operation becomes inconvenient when multiple users with different body types need to use the vehicle
Solution Approach 1:
The system automatically identifies the user through the external terminal (smartphone) and autonomously retrieves and applies the corresponding driving position information from the big data server. This eliminates the need for manual selection or configuration by the user, making the system both accurate and convenient to use.
Solution Approach 2:
The driving position information for multiple users is pre-stored in the big data server before the user needs it. When a user enters the vehicle, the system quickly retrieves the pre-prepared position data, avoiding the need for real-time manual adjustment and ensuring both accuracy and convenience.
3Speed
If conventional IMS stores driving position information locally, then quick access is possible, but the system cannot effectively manage multiple user profiles and adapt to frequent vehicle changes
Solution Approach 1:
The big data server provides a universal platform that can store and manage driving position information for any number of users across different vehicles. The system maintains quick access performance while gaining the ability to handle multiple user profiles and frequent vehicle changes through the externalized storage architecture.
Data Source
AI summary
An apparatus for adjusting a driving position of a driver of a vehicle includes: a communication module performing wireless communication with an external terminal of a user; a door module sensing an opening or closing of a door of the vehicle; and a controller receiving, when the door of the vehicle is opened, user information identifying the user from the external terminal via the communication module, retrieving driving position adjustment information corresponding to the user information from a big data server, and adjusting the driving position based on the driving position adjustment information.