Vehicle Feature Activation via Usage Analysis and Blockchain
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Solution Overview
Problem
Current vehicle systems lack an efficient method to dynamically enable or disable features based on real-time usage and conditions, such as traffic congestion or driver preferences, often requiring manual selection or subscription processes.
Innovation Solution
A system that determines the current use of a vehicle, assesses feature requirements based on usage, and enables or disables features using data received from sensors and external sources, utilizing a blockchain-based decentralized database for secure and transparent authorization and service management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If features are manually selected or subscribed by users, then feature availability is controlled, but user convenience deteriorates and time is lost
Solution Approach 1:
The system automatically monitors vehicle usage data and driving characteristics to identify when features should be activated without requiring user intervention. The processor analyzes sensor data, determines current vehicle usage patterns, and autonomously enables or disables features based on detected conditions, allowing the system to serve itself rather than requiring manual user configuration
Solution Approach 2:
The system pre-configures features to be available but disabled, and automatically activates them when usage conditions are detected. By having features ready in advance and automatically enabling them when needed based on pre-established criteria, the system eliminates the need for users to manually select or subscribe to features at the moment they are needed
2Adaptability or versatility
If features are dynamically enabled based on usage data, then adaptability improves, but system complexity increases
Solution Approach 1:
The processor performs multiple functions using a single integrated system: it monitors sensor data, analyzes driving characteristics, determines vehicle usage patterns, identifies suitable features for activation, and executes feature enabling/disabling. This multi-functional approach increases adaptability while managing complexity by consolidating functions rather than adding separate systems for each task
Solution Approach 2:
The system continuously monitors vehicle sensor data and usage patterns, uses this feedback to determine when features should be activated, and adjusts feature availability accordingly. This closed-loop feedback mechanism enables dynamic adaptability based on real-time conditions while maintaining manageable complexity through systematic data processing and decision-making algorithms
3Reliability
If blockchain technology is used for feature management, then transaction security improves, but processing time increases
Solution Approach 1:
The system pre-establishes smart contracts and authorization mechanisms before feature transactions occur. By setting up the blockchain infrastructure, smart contracts, and authorization rules in advance, the system enables rapid feature activation when needed while maintaining security, as the preliminary configuration eliminates the need for time-consuming authentication and verification processes at the moment of feature activation
Data Source
AI summary
An example operation includes one or more of determining, by a transport, a current use of the transport, determining, by the transport, a feature based on the current use, receiving, by the transport, data related to the feature, and enabling, by the transport, the feature based on the received data. The feature was not available for use by the transport.