Dynamic Standby Timeout Adjustment for Electronic Terminals
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Solution Overview
Problem
Existing electronic payment terminals face challenges in reducing energy consumption without penalizing users, as existing techniques that put the terminal in standby mode result in prolonged wake-up times, which can be inconvenient for users.
Innovation Solution
A method that dynamically adjusts the standby timeout period based on predefined time categories and user tolerance, using statistics to determine optimal standby durations that balance energy savings with user convenience by modifying the timeout duration according to the frequency of use and user sensitivity to delays.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If the terminal enters standby mode to reduce energy consumption, then energy consumption is reduced, but the wake-up time increases causing user inconvenience
Solution Approach 1:
The patent applies dynamics by making the timeout period adjustable rather than fixed. The system dynamically modifies the timeout duration based on temporal categories (time of day, day of week) and usage patterns, allowing the terminal to optimize between energy savings and responsiveness in real-time conditions
Solution Approach 2:
The patent changes the parameter of timeout duration based on different conditions. By categorizing time into different temporal categories and analyzing usage frequency, the system adjusts the timeout parameter to be shorter during high-usage periods and longer during low-usage periods, resolving the contradiction between energy saving and wake-up speed
2Device complexity
If a fixed timeout period is used for standby mode, then the terminal operation is simple, but it cannot adapt to varying usage patterns throughout the day
Solution Approach 1:
The patent segments the day into different temporal categories (e.g., morning hours, afternoon hours, weekend vs. weekday) and applies different timeout strategies to each segment. This segmentation allows the system to adapt to varying usage patterns without requiring complex real-time analysis, maintaining relative simplicity while improving adaptability
Solution Approach 2:
The system performs preliminary analysis of usage patterns and pre-defines temporal categories with associated timeout periods. By preparing these categories in advance based on historical data or predefined rules, the terminal can quickly adapt to different situations without complex real-time computations, balancing simplicity and adaptability
Data Source
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Figure 3
AI summary
The method involves modifying timeout-before-standby duration for a terminal after action is performed by or on the terminal at a current instant based on membership of the current instant in a given temporal category, where the given temporal category is chosen from two predefined temporal categories. The temporal categories are defined by parameter, where the parameter belongs to a group comprising a time slot in a day or a week and the day in the week or a month. Independent claims are also included for the following: (1) an electronic terminal comprising a modifying unit (2) a computer program product comprising program code instructions to implement a method for reducing consumption of energy by an electronic terminal.