Navigation System Light Intensity Route Planning
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Solution Overview
Problem
Current navigation systems lack an efficient route planning mechanism that balances user experience, cost reduction, and environmental impact, particularly in selecting routes based on light intensity for energy efficiency and fuel conservation.
Innovation Solution
A navigation system that detects light intensity and selects routes for display on a device, utilizing a prediction module to determine routes with optimal light conditions for energy efficiency and eco-friendliness, including the identification of power replenishment locations and route recalculations based on changing light conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If traditional route planning is used, then route selection is simple, but energy efficiency and fuel consumption are not optimized
Solution Approach 1:
The patent applies parameter changes by incorporating light intensity as an additional routing parameter. The system detects light intensity values along different routes and selects routes based on optimal light conditions, transforming the traditional route planning from considering only distance and traffic to including environmental factors like light intensity for solar energy optimization
Solution Approach 2:
The navigation system achieves multi-functionality by combining traditional navigation capabilities with energy optimization features. The same routing mechanism serves both conventional route guidance and solar energy efficiency optimization, allowing the system to provide multiple benefits (navigation + energy savings) through a unified platform
2Loss of energy
If light intensity-based route selection is implemented, then energy efficiency improves, but system complexity increases
Solution Approach 1:
The system implements self-service by automatically detecting light intensity conditions and autonomously selecting optimal routes without requiring manual user input. The navigation system monitors environmental light conditions in real-time and automatically adjusts route recommendations, enabling the system to optimize its own performance based on environmental factors
Solution Approach 2:
The patent employs feedback mechanisms where the system continuously monitors light intensity conditions along planned routes and uses this information to dynamically adjust route recommendations. The feedback loop involves detecting current light conditions, evaluating their impact on energy efficiency, and recalculating routes accordingly to maintain optimal energy performance
3Use of energy by moving object
If dynamic route recalculation based on changing light conditions is performed, then energy optimization improves, but processing time increases
Solution Approach 1:
The system applies periodic action by recalculating routes at scheduled intervals or when light intensity changes exceed predefined thresholds, rather than continuously. This approach balances energy optimization with processing efficiency, updating routes periodically based on significant environmental changes while avoiding unnecessary frequent recalculations that would waste processing time
Data Source
AI summary
A method of operation of a navigation system includes: detecting a light intensity; and selecting a route determined by the light intensity for displaying on a device.