Single Data Set Calibration for Grain Bin Electromagnetic Inversion
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Solution Overview
Problem
Electromagnetic inverse imaging systems for grain bin monitoring face challenges in calibration due to the need for two measurements at different times, making it impractical for real-time monitoring and requiring significant computational resources, especially since they assume point field measurements rather than S-parameter measurements from Vector Network Analyzers.
Innovation Solution
A one-shot calibration method that uses a single set of measurements to perform phaseless parametric inversion, determining calibration coefficients and calibrated scattered field measurements, allowing for full 3D inversion without the need for multiple data sets, thereby compensating for measurement system distortions and enabling real-time imaging.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional two-scan calibration procedure is used, then measurement precision is improved, but loss of time increases and device complexity increases
Solution Approach 1:
The patent applies preliminary action by performing calibration using a single measurement data set taken at the current time, rather than requiring preliminary calibration with a second data set taken at a different time. The system determines calibration coefficients and calibrated scattered field measurements from one measurement, eliminating the need for future or past reference measurements.
Solution Approach 2:
The patent uses phaseless parametric inversion to determine calibration coefficients from a single measurement data set, inverting the traditional approach where calibration required multiple measurements. By inverting the problem mathematically, the system extracts calibration information from what was traditionally considered insufficient single-scan data.
2Measurement precision
If traditional two-scan calibration procedure is used, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent extracts calibration coefficients and calibrated scattered field measurements directly from a single measurement data set through phaseless parametric inversion, separating the calibration function from the multi-scan procedure. This extraction approach simplifies the overall system by eliminating the need for multiple measurement scans and complex coordination between them.
3Manufacturing precision
If full 3D inversion is performed with traditional calibration, then manufacturing precision is improved, but use of energy increases
Solution Approach 1:
The patent performs preliminary determination of calibration coefficients and calibrated scattered field measurements from a single data set before performing the full 3D inversion. This preliminary calibration step, based on phaseless parametric inversion, prepares the data in advance to enable accurate 3D inversion without requiring additional measurement scans, thereby reducing total computational energy requirements.
Data Source
AI summary
In one embodiment, a method, comprising: receiving measurement data of a container with contents stored within the container; performing a phaseless parametric inversion on the measurement data to provide a background model; determining calibration coefficients for each of a plurality of channels based on the measurement data and the background model; and determining calibrated scattered field measurements based on the background model and the calibration coefficients.