Location Tracking Controller for Battery Power Reduction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current location-based services consume a significant amount of battery power in computing devices, making continuous use difficult.
Innovation Solution
A system and method that utilize user location history information to reduce battery power consumption by varying the interval of location measurement based on moving speed and surrounding environment, and providing personalized information based on predicted routes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If location-based services continuously measure user location to provide personalized information, then service quality and personalization are improved, but battery power consumption increases
Solution Approach 1:
The patent dynamically adjusts the location measurement interval based on the user's moving speed. When the user is moving quickly, the system reduces measurement frequency to save battery power. When the user is stationary or moving slowly, the system increases measurement frequency to maintain accurate personalized information delivery. This dynamic adaptation resolves the contradiction between personalization accuracy and energy consumption.
Solution Approach 2:
The system changes the parameter of measurement interval based on detected moving speed. By varying this critical parameter, the system optimizes the balance between providing accurate location-based personalized information and minimizing battery power consumption, directly addressing the technical contradiction.
2Use of energy by moving object
If location measurement interval is reduced to save battery power, then energy consumption decreases, but personalization accuracy and service quality deteriorate
Solution Approach 1:
The system dynamically adjusts measurement frequency based on moving speed context. During high-speed movement, fewer measurements are taken to conserve energy. During low-speed or stationary periods, measurements are taken more frequently to maintain precision. This dynamic approach ensures location accuracy is maintained when needed while reducing energy consumption overall.
Solution Approach 2:
The measurement interval parameter is varied according to the user's moving speed. This parameter change strategy allows the system to maintain measurement precision during critical moments (when user is stationary or moving slowly) while reducing energy consumption during less critical moments (when user is moving quickly).
Data Source
Figure 1~2
Figure 3~4
Figure 5
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.