Sensor Data Processing Correcting ODR Errors

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Solution Overview

Problem

Sensors often exhibit clock errors leading to significant Output Data Rate (ODR) errors, which can result in inaccurate data processing and functional failures in applications relying on precise ODR.

Innovation Solution

A sensor data processing method that calculates and corrects sensor data to align with a target ODR, using interpolation algorithms based on raw sensor data, actual ODR, and target ODR, ensuring accurate data processing and preventing functional failures.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If sensor data is output based on actual ODR with clock errors, then data collection is simple and continuous, but ODR precision deteriorates causing functional failures

Engineering Contradiction:

Improvefunctional reliabilityVSAvoidODR precision

Core Design Contradiction:

ReliabilityVSMeasurement precision

Solution Approach 1:

The patent applies preliminary action by pre-calculating a conversion ratio based on the actual ODR and target ODR before data processing. This conversion ratio is then used to resample the sensor data at the correct target ODR, preventing ODR precision errors from causing functional failures. The FIFO buffer stores raw data in advance, allowing post-processing correction of ODR inaccuracies.

Inventive Principle:

Principle #10Preliminary action

2Productivity

If hardware interrupt manner is used for data output, then data processing is efficient and continuous, but ODR accuracy deteriorates due to clock errors

Engineering Contradiction:

Improvedata processing efficiencyVSAvoidODR accuracy

Core Design Contradiction:

ProductivityVSMeasurement precision

Solution Approach 1:

The patent introduces an intermediary processing layer between the sensor and the application. The FIFO buffer and conversion ratio calculation act as intermediaries that decouple the hardware interrupt-based efficient data collection from the application's requirement for accurate target ODR. This intermediary layer resamples the data to achieve both efficiency and accuracy.

Inventive Principle:

Principle #24Intermediary (Mediator)

3Device complexity

If raw sensor data is used directly, then data processing is simple and fast, but data accuracy deteriorates due to ODR errors

Engineering Contradiction:

Improveprocessing complexityVSAvoidsensor data accuracy

Core Design Contradiction:

Device complexityVSMeasurement precision

Solution Approach 1:

The patent changes the temporal parameter of the sensor data by resampling at a different rate. It calculates a conversion ratio between actual ODR and target ODR, then uses this ratio to interpolate or decimate the data points, transforming the data from actual ODR timing to target ODR timing. This parameter transformation maintains data accuracy while preserving processing efficiency.

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS12265098B2Sensor data processing method, electronic device, and readable storage medium

Publication Date: 2025.04.01 HONOR DEVICE CO LTD

AI summary

This application discloses a sensor data processing method, an electronic device, and a readable storage medium, and relates to the field of data processing technologies. The method includes: obtaining a group of raw sensor data, where the raw sensor data is sensor data output, based on an actual output data rate ODR, by a sensor; and obtaining a group of target sensor data through calculation based on the group of raw sensor data, a target ODR, and the actual ODR. The target sensor data is estimated sensor data output, based on the target ODR, by the sensor, and there is no ODR error.