Ultraviolet Sensor Orientation Scheduling for Battery Life
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Solution Overview
Problem
Existing ultraviolet radiation measurement devices struggle to accurately and efficiently monitor ultraviolet exposure in real-time, particularly for users on the go, due to limitations in orientation alignment, continuous sampling, and battery life.
Innovation Solution
A method utilizing a light exposure device with an ultraviolet sensor that calculates target orientations based on geolocation and time, opportunistically records ultraviolet values at discrete intervals, and integrates these values with predefined models to estimate and predict ultraviolet indices, reducing the need for continuous sampling and extending battery life.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If continuous sampling is used to monitor ultraviolet exposure in real-time, then measurement precision is improved, but use of energy increases and battery life decreases
Solution Approach 1:
The system performs ultraviolet measurements at periodic intervals rather than continuously. The processor is activated at scheduled times to capture UV readings, then enters a low-power state. This periodic measurement approach maintains adequate monitoring accuracy while dramatically reducing energy consumption compared to continuous sampling.
Solution Approach 2:
The system pre-calculates target orientations and measurement schedules before executing actual UV measurements. By determining optimal measurement times and device orientations in advance, the system minimizes the frequency of processor activations and sensor readings, thereby reducing overall energy consumption while ensuring measurements are taken at scientifically optimal moments.
2Measurement precision
If the device continuously tracks and maintains precise orientation alignment, then measurement precision is improved, but use of energy increases
Solution Approach 1:
The system performs orientation calculations and alignment checks only to the extent necessary for adequate measurement accuracy. Rather than continuously maintaining perfect alignment, the device performs partial orientation corrections at measurement intervals, accepting small deviations from ideal alignment in exchange for reduced processing energy consumption.
Solution Approach 2:
Target orientations are pre-calculated based on geographic location, time, and date before measurement execution. This preliminary determination of optimal angles and directions allows the device to perform simple comparison checks during measurement rather than complex real-time orientation optimization, significantly reducing processing energy requirements.
3Use of energy by moving object
If discrete interval sampling is used instead of continuous sampling, then use of energy is reduced, but measurement precision deteriorates
Solution Approach 1:
The system pre-determines optimal measurement intervals and timing based on ultraviolet radiation patterns, geographic location, and time of day. By scheduling measurements at scientifically optimal moments rather than using simple fixed-interval sampling, the system maintains high measurement precision while minimizing the total number of measurements required, thereby extending battery life.
Solution Approach 2:
The system uses feedback from previous measurements and environmental conditions to dynamically adjust measurement intervals. When UV levels are stable and low-risk, measurement intervals are extended to conserve energy. When UV levels increase or change rapidly, the system automatically increases measurement frequency, maintaining precision when needed while reducing energy consumption during stable periods.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach provides accurate, real-time ultraviolet exposure monitoring, reduces manual effort, and extends battery life by intermittently recording data, allowing for timely alerts and behavioral recommendations to protect against sun damage.
Implementation Method 1
accessing a set of raw ultraviolet readings collected by an ultraviolet sensor
Data Source
AI summary
One variation of a method for measuring ambient ultraviolet light radiation including: calculating a target direct orientation of a light exposure device based on a location, a current date and time, and a direct solar position model; calculating a target diffuse orientation of the light exposure device based on the location, the current date and time, and a diffuse solar position model; in response to detecting alignment between orientation of the light exposure device and the target direct orientation, recording a direct ultraviolet value; in response to detecting alignment between orientation of the light exposure device and the target diffuse orientation, recording a diffuse ultraviolet value; in response to detecting alignment between orientation of the light exposure device and a target global orientation, recording a global ultraviolet value; and calculating an ultraviolet index based on the global ultraviolet value, the direct ultraviolet value, and the diffuse ultraviolet value.