Location-Based Sensor Sampling for Harmful Environment Detection
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Solution Overview
Problem
Information handling systems face challenges in efficiently monitoring and managing environmental factors due to high power consumption and resource usage from continuous sampling by environmental sensors, especially in varying locations with different environmental conditions.
Innovation Solution
An information handling system equipped with sensors and a processor that dynamically adjusts sampling frequencies based on geographic location and historical user data, optimizing sensor data acquisition rates to reduce resource load and energy usage while maintaining user awareness of potentially harmful environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If continuous sampling by environmental sensors is used, then user awareness of harmful environments is maintained, but power consumption and resource usage increase
Solution Approach 1:
The system dynamically adjusts sensor sampling frequencies based on location context. When the information handling system is ported between locations, the processor determines the new location and adjusts the sampling frequency of environmental sensors accordingly, transitioning from continuous to periodic sampling to reduce power consumption while maintaining harmful environment detection capability
Solution Approach 2:
The system implements periodic sampling of environmental factors instead of continuous monitoring. The processor provides different sampling frequencies based on location, creating periodic measurement intervals that reduce overall power consumption while still detecting harmful environmental conditions when they occur
2Measurement precision
If sensor sampling frequency is increased, then environmental monitoring accuracy improves, but resource usage increases
Solution Approach 1:
The system applies different sampling frequencies to different locations based on their specific characteristics. The processor determines the current location and applies an appropriate sampling frequency from a set of location-specific frequencies, optimizing the balance between measurement precision and resource usage for each location context
3Loss of energy
If dynamic location-based sampling adjustment is implemented, then energy efficiency improves, but system complexity increases
Solution Approach 1:
The system uses feedback from location detection to adjust sensor sampling frequencies. The processor continuously monitors the physical location of the information handling system and uses this feedback to dynamically adjust the sampling frequency of environmental sensors, creating a closed-loop control system that optimizes energy efficiency
Solution Approach 2:
The system automatically adjusts its own sensor sampling parameters based on its detected location without external intervention. The processor autonomously determines the current location and configures the appropriate sampling frequency, allowing the system to self-optimize its energy consumption based on environmental context
Data Source
AI summary
A sensor measures an environmental factor in an ambient environment immediately surrounding an information handling system. A processor determines that the information handling system is in a first location, provides a first sampling frequency of the sensor based upon the first location, determines that the information handling system is in a second location, and provides a second sampling frequency of the sensor based upon the second location. The first sampling frequency is different from the second sampling frequency.