Computing Device Adjustment Using Sensor-Performance Data Fusion
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Solution Overview
Problem
Existing network monitoring tools are blind to factors such as orientation, location, and environmental conditions that impact computing device performance, leading to suboptimal performance and user dissatisfaction.
Innovation Solution
A mechanism that leverages operational performance metrics and contemporaneous situational sensor data to identify and mitigate performance-degrading factors by determining adjustments to improve device performance, using machine learning techniques to correlate and analyze these data types.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If network monitoring tools are used to monitor performance, then network infrastructure performance can be tracked, but the tools are blind to environmental, positional, and device operation factors that impact computing device performance
Solution Approach 1:
The patent combines network monitoring tools with device sensors and operational data collection mechanisms into an integrated system. This merging allows the system to simultaneously capture network infrastructure performance metrics and device-level situational factors (environmental conditions, position, orientation), eliminating the information blind spots of traditional standalone network monitoring tools.
Solution Approach 2:
The patent introduces device sensors and local data collection mechanisms as intermediaries between the network infrastructure and the monitoring system. These intermediaries capture environmental, positional, and operational data at the device level and transmit it to the monitoring system, enabling comprehensive performance tracking that bridges the gap between network-level and device-level observations.
2Adaptability or versatility
If computing devices operate in diverse environments with increased capabilities, then performance demands are met, but suboptimal performance goes unnoticed and unaddressed
Solution Approach 1:
The patent implements a feedback mechanism that continuously monitors both network performance metrics and device situational factors, then uses this combined information to identify performance degradation. The system correlates network conditions with environmental and operational factors, enabling it to detect when device performance becomes suboptimal and provide feedback for corrective actions, thereby maintaining reliable performance across diverse environments.
3Reliability
If network monitoring tools focus on infrastructure operations, then infrastructure performance is maintained, but additional factors impacting device performance remain undetected
Solution Approach 1:
The patent segments the performance monitoring function into multiple specialized components: network infrastructure monitoring, device sensor data collection, environmental factor tracking, and operational metric gathering. Each segment focuses on specific aspects of performance, making detection and measurement of individual factors more manageable and effective while maintaining overall system reliability.
Data Source
AI summary
In one embodiment, an illustrative method herein may comprise: obtaining, by a process, operational performance metrics associated with one or more devices performing an operation and contemporaneous situational sensor data associated with the one or more devices performing the operation; establishing, by the process, a correlation between a health of the operational performance metrics and the contemporaneous situational sensor data for the one or more devices while performing the operation; determining, by the process, an adjustment to increase the health of the operational performance metrics for a particular device of the one or more devices based on the correlation; and communicating, by the process, the adjustment to a receiving device to facilitate adjusting of the particular device.