Phase Correction Device for Acceleration Sensor Error Compensation
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Solution Overview
Problem
Existing acceleration sensor systems face challenges in accurately identifying animal actions due to mounting errors and phase displacement, which require manual calibration and result in inefficiencies in calculating thresholds and machine learning parameters.
Innovation Solution
A phase correction device that calculates standard deviation and representative values of acceleration data to estimate and correct phase errors, enabling automatic correction of mounting errors and phase displacement using statistical processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual calibration is performed to correct mounting errors and phase displacement, then measurement precision is improved, but device complexity and time consumption increase
Solution Approach 1:
The system automatically performs phase correction and action identification without requiring manual calibration operations. The microcontroller autonomously calculates phase differences, applies corrections to acceleration data, and identifies animal actions, eliminating the need for user intervention in the calibration process.
Solution Approach 2:
The system performs phase correction calculations and establishes calibration parameters in advance during an initial measurement period. These pre-calculated correction values are then applied to subsequent measurements, avoiding repeated manual calibration operations while maintaining high measurement precision.
2Measurement precision
If manual calibration is performed to correct mounting errors, then measurement precision is improved, but loss of time increases
Solution Approach 1:
The system performs phase correction calculations and establishes calibration parameters in advance during an initial measurement period. These pre-calculated correction values are then applied to subsequent measurements, avoiding repeated manual calibration operations while maintaining high measurement precision.
Solution Approach 2:
The system replaces manual mechanical calibration operations with automated computational methods. The microcontroller automatically calculates phase differences, applies corrections to acceleration data, and identifies animal actions through algorithmic processing, eliminating the need for time-consuming manual calibration procedures.
3Productivity
If phase correction is performed automatically using statistical processing, then productivity is improved, but measurement precision may deteriorate
Solution Approach 1:
The system replaces manual mechanical calibration operations with automated computational methods. The microcontroller automatically calculates phase differences, applies corrections to acceleration data, and identifies animal actions through algorithmic processing, eliminating the need for time-consuming manual calibration procedures.
Solution Approach 2:
The system uses statistical processing of acceleration data to calculate phase differences and correction values, then applies these corrections and validates the results through continued measurement and analysis. This feedback loop ensures that automated corrections maintain measurement precision while improving processing efficiency.
Data Source
AI summary
There are included a standard deviation calculation unit that receives a plurality of acceleration data and calculates a standard deviation of the plurality of acceleration data for each specified time period, an average calculation unit that receives the plurality of acceleration data and calculates an average value of the acceleration data for each specified time period, a phase estimation unit that estimates a phase of the average value in a space having a first coordinate axis and a second coordinate axis by using the average value when the standard deviation is smaller than a specified threshold, and a phase correction unit that performs phase correction of the average value by using the estimated phase.


