Predictive Modeling for Imaging System Temperature Correction
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Solution Overview
Problem
Imaging systems face challenges in accurately determining ambient temperature due to self-generated heat from components, which can lead to out-of-focus images and operational issues, as traditional temperature sensors measure both ambient and self-generated heat.
Innovation Solution
The implementation of predictive modeling using temperature measurements and thermal resistance/capacitance values to estimate self-heating and ambient temperature changes, allowing for the correction of temperature readings to isolate ambient temperature.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a temperature sensor is employed to detect ambient temperature, then temperature monitoring is achieved, but the detected temperature contains error due to self-generated heat from components
Solution Approach 1:
The patent introduces a predictive model as an intermediary between the temperature sensor and the ambient temperature measurement. The model processes the raw temperature reading by subtracting the self-generated heat component, thereby mediating the measurement to eliminate the harmful effect of self-heating while preserving the ambient temperature information.
Solution Approach 2:
The patent replaces direct mechanical/physical temperature measurement with a computational approach. Instead of relying solely on the temperature sensor's raw output, the system uses predictive modeling algorithms to calculate and remove the self-generated heat component, substituting physical measurement with computational correction.
2Productivity
If components generate heat during operation, then functional operation is achieved, but temperature measurement accuracy deteriorates
Solution Approach 1:
The patent implements a feedback mechanism where the system continuously monitors temperature, calculates self-generated heat using predictive models, and corrects the measurement. This feedback loop allows the system to maintain accurate ambient temperature measurements even while components are generating heat during normal operation.
Solution Approach 2:
The patent substitutes direct physical temperature measurement with a computational correction system. By using predictive models to calculate and subtract self-generated heat from the sensor reading, the system maintains measurement accuracy despite continuous component operation and heat generation.
3Device complexity
If temperature measurement includes self-generated heat, then simple measurement is achieved, but image focus quality deteriorates
Solution Approach 1:
The patent introduces a predictive model as an intermediary processing layer between the temperature sensor and the autofocus control. This intermediary subtracts the self-generated heat component from the raw temperature reading, providing accurate ambient temperature information to the autofocus system while maintaining relatively simple measurement hardware.
Solution Approach 2:
The patent replaces complex physical temperature separation mechanisms with computational correction. Instead of using complex thermal isolation structures, the system uses predictive modeling algorithms to separate self-generated heat from ambient temperature, achieving reliable image focus control with simpler hardware design.
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 effectively separates self-generated heat from ambient temperature, improving the accuracy of temperature monitoring and maintaining image focus by accurately determining ambient temperature, thus enhancing the operational stability of imaging systems.
Implementation Method 1
A temperature sensor is generally employed to detect and monitor the ambient temperature of the relevant components
Implementation Method 2
predictive modeling using temperature measurements and thermal resistance/capacitance values to estimate self-heating
Data Source
AI summary
Various embodiments of the present technology may comprise methods and apparatus for predictive modeling in an imaging system. The methods and apparatus for predictive modeling may comprise various circuits and/or systems configured to measure a temperature and utilize the measured temperature in conjunction with a predictive model to predict a self-heating value, temperature changes, and an ambient temperature.