Offset Calculation for Azimuth Sensors
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Solution Overview
Problem
Conventional offset correction processing for azimuth sensors requires significant computational power to continuously and accurately cancel offsets, making it inefficient.
Innovation Solution
An offset calculation device that translates data points to align one with the origin, calculates virtual offset points to minimize distance equations, and uses these to determine offset values, reducing computational complexity and enabling high-speed offset correction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional offset correction processing is used, then accurate offset cancellation is achieved, but high computing power is required
Solution Approach 1:
The offset correction process is divided into two distinct phases: a computation-intensive initial offset calculation phase that processes all collected data points to determine accurate offset values, and a lightweight continuous correction phase that applies these pre-calculated offsets to new data. This segmentation allows the heavy computation to be performed once offline, while online operation requires minimal processing power.
Solution Approach 2:
The system performs preliminary offset calculation by collecting a sufficient number of data points during an initial phase and computing the offset values in advance using the full dataset. This preliminary action prepares the offset correction parameters before actual continuous measurement begins, so that subsequent corrections can be applied quickly without repeating the heavy computation.
2Measurement precision
If conventional offset correction processing is used, then accurate offset cancellation is achieved, but processing speed is reduced
Solution Approach 1:
The offset correction process is divided into two distinct phases: a computation-intensive initial offset calculation phase that processes all collected data points to determine accurate offset values, and a lightweight continuous correction phase that applies these pre-calculated offsets to new data. This segmentation allows the heavy computation to be performed once offline, while online operation requires minimal processing power.
Solution Approach 2:
The system performs preliminary offset calculation by collecting a sufficient number of data points during an initial phase and computing the offset values in advance using the full dataset. This preliminary action prepares the offset correction parameters before actual continuous measurement begins, so that subsequent corrections can be applied quickly without repeating the heavy computation.
Data Source
AI summary
For triaxial magnetic detection data sequentially acquired as data points in a triaxial coordinate system, an offset calculation unit 30 calculates virtual data points P1′-P6′ by evenly parallel-translating each of data points P1-P7 so that a reference data point P7, for example, arbitrarily chosen from the data points P1-P7 coincides with an origin point O. A virtual offset point C′ for which the sum of the distances between the virtual data points P1′-P6′ and a curved surface H1 passing through the origin point O is minimized is then calculated. An offset value C for the magnetic detection data is then calculated by parallel-translating the virtual offset point C′ so as to restore the parallel-translated portion.


