Axis-Dependent Data Decoding for Industrial Machine Error Compensation
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Solution Overview
Problem
Conventional entropy encoding techniques struggle to compress axis-dependent data for industrial machines due to its white noise-like property with uniform appearance frequency, limiting the accuracy of error compensation beyond a certain data size limit.
Innovation Solution
A data decoding device that decodes encoded axis-dependent data using a linear combination model to approximate and compress the data, allowing for higher accuracy error compensation by encoding and decoding techniques.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the number of input points of error amount is increased to improve error compensation accuracy, then the accuracy of error compensation is improved, but the data size exceeds the upper limit of inputtable data size
Solution Approach 1:
The patent segments the error compensation data into two distinct components: axis-independent error data (affecting all axes uniformly) and axis-dependent error data (affecting specific axes based on coordinate values). This segmentation allows the system to store and process only the essential axis-dependent variations, dramatically reducing the total data size required for high-precision error compensation while maintaining accuracy.
2Quantity of substance
If entropy encoding technique is used to compress data, then data compression is achieved, but axis-dependent data with white noise-like property cannot be compressed effectively
Solution Approach 1:
The patent extracts and separates the axis-independent error component from the total error data before compression. By removing this uniform component that cannot be compressed by entropy encoding, the remaining axis-dependent data exhibits non-uniform distribution patterns that are amenable to effective entropy encoding compression, thus achieving both small data size and high compression effectiveness.
3Ease of manufacture
If conventional entropy encoding is applied to axis-dependent data, then encoding is performed, but the uniform appearance frequency prevents effective compression
Solution Approach 1:
The patent applies different encoding strategies to different components of the error data: axis-independent data is handled separately while axis-dependent data undergoes entropy encoding. This local quality approach recognizes that different parts of the data have different compressibility characteristics, allowing effective compression of the axis-dependent portion while maintaining overall data integrity and accuracy.
Data Source
AI summary
Provided is a data decoding technique that enables decoding of post-encoding axis-dependent data obtained by encoding axis-dependent data that depends on the coordinate value of each axis of an industrial machine. A data decoding device 1 comprises a decoding unit 11 that generates post-model approximation decoding axis-dependent data which is obtained by decoding model approximation encoded axis-dependent data on the basis of: a linear combination model that approximates axis-dependent data that depends on the coordinate value of each axis of an industrial machine, as a linear combination of respective axis data of the industrial machine; and post-model approximation encoding axis-dependent data which is obtained by model approximation by the linear combination model.