TV Power-State Detection With Adaptive Threshold Calibration
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Solution Overview
Problem
Existing television ON/OFF detection methods are inaccurate and inefficient for advanced televisions with multiple power states, leading to incorrect media exposure data and increased energy consumption due to manual calibration and recalibration requirements.
Innovation Solution
A monitoring system with a meter and sensor that uses multiple thresholds and an on-going calibration technique to automatically adapt to changes in television settings, recalibrating at intervals and avoiding outlier conditions to accurately determine the ON/OFF state.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual calibration and recalibration methods are used for television ON/OFF detection, then detection accuracy can be maintained for simple televisions, but the system becomes inefficient and requires increased energy consumption for advanced televisions with multiple power states
Solution Approach 1:
The monitoring system performs automatic on-going calibration without human intervention. The microprocessor automatically adjusts thresholds and recalibrates detection parameters by analyzing power consumption patterns from the sensor, enabling the system to self-adapt to changing television settings and maintain accuracy for advanced televisions with multiple power states
Solution Approach 2:
The system transitions from static manual calibration to dynamic automatic calibration. The monitoring system continuously adapts its detection thresholds and parameters in real-time based on observed power consumption patterns, allowing it to effectively handle the varying power states of advanced televisions without requiring repeated manual intervention
2Measurement precision
If manual calibration is performed for each television, then initial detection accuracy can be achieved, but the process becomes time-consuming and complex for large numbers of televisions
Solution Approach 1:
The system eliminates the need for manual calibration by implementing automatic calibration procedures. The microprocessor autonomously performs calibration by analyzing power consumption data from the sensor and adjusting detection parameters accordingly, reducing calibration time from minutes per television to seconds automatically
Solution Approach 2:
The system performs automatic calibration at predetermined intervals and upon detecting power state changes, preparing the detection parameters in advance for upcoming measurement scenarios. This preliminary automatic adjustment eliminates the need for time-consuming manual calibration before each measurement session
3Ease of operation
If fixed thresholds are used for ON/OFF detection, then the system remains simple to operate, but it cannot adapt to changes in television settings and power consumption patterns
Solution Approach 1:
The system replaces fixed thresholds with dynamic, automatically adjusted thresholds. The microprocessor continuously modifies detection parameters based on observed power consumption patterns from the sensor, enabling the system to adapt to various television power states and settings while maintaining ease of operation through automation
Solution Approach 2:
The system implements a feedback mechanism where the microprocessor monitors power consumption data from the sensor and uses this information to automatically adjust detection thresholds. This closed-loop feedback enables the system to adapt to changing television settings while maintaining simple operation, as the adjustment process occurs automatically based on observed patterns
4Measurement precision
If recalculation of thresholds is performed frequently to maintain accuracy, then detection precision improves, but energy consumption increases
Solution Approach 1:
The system performs threshold recalculation at predetermined periodic intervals rather than continuously. The microprocessor automatically recalibrates detection parameters at scheduled times and when triggered by detected power state changes, maintaining detection accuracy while minimizing energy consumption by avoiding unnecessary frequent recalculations
Solution Approach 2:
The system dynamically adjusts the frequency of threshold recalculation based on detected changes in power consumption patterns. Recalculation occurs more frequently when power state changes are detected and less frequently during stable periods, optimizing the balance between maintaining detection accuracy and minimizing energy consumption
Data Source
AI summary
Methods and apparatus are disclosed to determine a power state of a device. An example method includes determining respective counts for a plurality of measurements during a calibration period, the measurements indicative of an amount of power drawn by the device, determining a first threshold and a second threshold based on at least one of the counts, the first threshold determined using most frequently logged measurement values, the most frequently logged measurement values based on counts performed after expiration of the calibration period, comparing a measurement to the first threshold and to the second threshold, and outputting a positive indication when the measurement is within an acceptable difference range, the acceptable difference range based on the amount of power drawn by the device.