Vehicle Data Pre-conditioning for Network Congestion
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Solution Overview
Problem
The existing vehicle network systems face network congestion and increased operational costs due to users consuming data during commutes, such as live streaming music or downloading movies, which can lead to high data usage and expenses.
Innovation Solution
A vehicle data pre-conditioning system that processes user profiles to pre-download media data from a server to local storage before use, using either free or paid networks, and prioritizes data based on usage patterns to minimize network usage during actual vehicle use.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users consume data during commutes through live streaming and downloading, then user entertainment and productivity are improved, but network congestion increases and operational costs rise
Solution Approach 1:
The system pre-downloads media data and applications to the vehicle's local storage before the user needs them, based on predicted usage patterns. This preliminary action occurs during low-usage periods or when the vehicle is stationary, so that when the user actually needs the data, it is already available locally, eliminating the need for real-time data consumption and reducing network congestion.
2Ease of operation
If users consume data during commutes, then user entertainment and productivity are improved, but operational costs increase
Solution Approach 1:
The system performs data preparation and media downloading in advance during periods when the vehicle is stationary or during low-usage times, utilizing available network resources efficiently. By pre-loading content locally, the system eliminates the need for expensive real-time data consumption during actual use periods, thereby reducing operational costs.
Solution Approach 2:
The system automatically analyzes user behavior patterns, predicts what content the user will need, and pre-loads it without requiring manual user input or intervention. This self-service approach optimizes data usage by anticipating needs rather than reacting to them, reducing overall data consumption costs.
3Object-generated harmful factors
If media data is downloaded and stored locally, then network congestion is reduced during use, but storage space requirements increase
Solution Approach 1:
The system does not download all possible media content but rather selects and stores only the portions that are most likely to be used based on predicted usage patterns. This partial action approach ensures that storage space is utilized efficiently for high-value content while avoiding unnecessary data consumption and storage requirements.
Data Source
AI summary
A vehicle includes a processor programmed to process a user's profile by collecting usage pattern of a user; and responsive to a trigger condition, downloading media data from a server to a local storage for the user according to the user profile before the user uses the media data, and load the media data from the local storage to present to the user responsive to user using the vehicle.