Location Tracking Optimization for Battery Conservation
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Solution Overview
Problem
Current location-based services consume significant battery power, making continuous use difficult due to frequent location tracking, and fail to provide personalized information based on user history and context.
Innovation Solution
A system and method that utilize user location history information to predict routes and provide personalized information, optimizing location tracking intervals based on speed and environment, and displaying relevant content along the predicted route, reducing battery consumption while enhancing user experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If location tracking is performed continuously to provide accurate location-based information, then measurement precision is improved, but use of energy deteriorates
Solution Approach 1:
The system performs location tracking periodically rather than continuously. The location finder obtains location information at predetermined intervals, and the controller determines predicted routes based on these periodic measurements combined with past location history. This periodic action maintains acceptable location-based service functionality while significantly reducing battery power consumption compared to continuous tracking.
Solution Approach 2:
The system uses past location information to determine predicted routes in advance. By analyzing historical location data and user behavior patterns beforehand, the system can predict future locations and provide relevant information without needing to continuously track the current position, thereby reducing real-time energy consumption while maintaining service accuracy.
2Use of energy by moving object
If location tracking interval is reduced to save battery power, then use of energy is improved, but measurement precision deteriorates
Solution Approach 1:
The system introduces past location information and predicted route determination as intermediary elements. Instead of relying solely on frequent current location measurements, the system uses historical data and predictive algorithms to fill gaps between periodic measurements. This intermediary approach allows for longer tracking intervals while maintaining effective location-based service precision.
Solution Approach 2:
The controller determines predicted routes based on past location information before actual location changes occur. This preliminary action allows the system to anticipate user movement patterns and prepare relevant information in advance, compensating for the reduced frequency of actual location measurements and maintaining service precision despite longer tracking intervals.
3Adaptability or versatility
If personalized information is provided based on user history and context, then adaptability is improved, but device complexity increases
Solution Approach 1:
The system automatically collects past location information and user behavior data, and the controller autonomously analyzes this data to determine predicted routes and provide personalized information. The system serves itself by automatically managing data collection, analysis, and information delivery without requiring complex user configuration or manual intervention, thereby achieving high adaptability while managing complexity through automation.
Solution Approach 2:
The controller performs multiple functions using the same past location information: it determines predicted routes, identifies user behavior patterns, and provides personalized information recommendations. By making the location history data serve multiple purposes, the system achieves high adaptability and personalization capability without proportionally increasing device complexity, as the same data infrastructure supports multiple intelligent functions.
Data Source
AI summary
A system and method for providing location-based personalized information by using user location history information, whereby battery consumption of a computing device is reduced. The computing device includes: a location finder configured to obtain user location information of a user of the computing device; a display configured to display information indicating a route of the user of the computing device; and a controller configured to track a location of the user by controlling the location finder as the controller senses a change in the location of the user based on the obtained user location information, obtain information corresponding to an initial route of the user based on the tracked location of the user, detect a predicted route of the user from user location history information based on the information corresponding to the initial route of the user, and display on the display unit the predicted route.


