Sensor Network Recalibration Using Environment Response Functions
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Solution Overview
Problem
Existing sensor calibration methods are costly, time-consuming, and difficult to scale, especially for remote sensors, and current blind calibration techniques are not effective in the long term due to drift issues.
Innovation Solution
A method and system for sensor calibration that utilizes an environment response function to estimate a current sensor response function, using either semi-blind calibration with controlled perturbations or blind calibration through a two-stage autoencoder network, allowing for autonomous recalibration without the need for reference sensors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional calibration methods are used, then calibration can be performed, but the process is time-consuming and requires specialized knowledge
Solution Approach 1:
The calibration system enables sensors to perform self-calibration by automatically comparing their responses with reference sensors and adjusting their own calibration parameters, eliminating the need for manual intervention by specialized personnel
Solution Approach 2:
The system pre-configures reference sensors with known calibration parameters and establishes automated comparison protocols before actual calibration is needed, allowing rapid calibration execution when required
2Measurement precision
If manual calibration by specialized personnel is performed, then calibration accuracy can be maintained, but the cost and time requirements increase
Solution Approach 1:
The system implements automated feedback loops where sensor responses are continuously compared against reference values, and calibration parameters are automatically adjusted based on the comparison results, maintaining accuracy without manual intervention
Solution Approach 2:
Reference sensors serve as intermediaries with known calibration characteristics, enabling automated comparison and calibration of target sensors without requiring specialized personnel to perform the actual calibration measurements
3Reliability
If specialized personnel perform calibration, then proper calibration can be achieved, but the operational complexity and resource requirements increase
Solution Approach 1:
The calibration system enables sensors to perform self-calibration by automatically comparing their responses with reference sensors and adjusting their own calibration parameters, eliminating the need for manual intervention by specialized personnel
Solution Approach 2:
The system pre-configures reference sensors with known calibration parameters and establishes automated comparison protocols before actual calibration is needed, allowing rapid calibration execution when required
Data Source
Figure 1A~1B
Figure 2A
Figure 2B
AI summary
A method and system of calibration of one or more sensors are provided in a given environment. In a reliable calibration phase, in a first time period after calibration of the sensor, the method determines an environment response function based on a known sensor response function. The environment response function is a spatio-temporal response of the environment representing the environmental response operating on the event to result in the measurand field. Subsequently, in an unreliable calibration phase, in a second time period after the first time period, the method estimates a current sensor response function based on the environment response function determined in the reliable calibration phase. The method outputs a calibration function based on the estimated current sensor response function for updating calibration of the sensor.