Time-Series Data Analysis Device for Machine Tool Operation Comparison
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Solution Overview
Problem
Existing time-series data analysis devices require significant effort to specify and compare time-series data, especially when differences between datasets are minor, leading to inefficient detection of differences.
Innovation Solution
A time-series data analysis device that acquires, classifies, and displays time-series data by operation conditions, calculates differences, and sorts data based on these differences, allowing for easy comparison and visualization of operation results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If time-series data are manually specified and extracted from a plurality of datasets, then comparison between machine tools can be performed, but the work required for searching and extracting the data becomes immense
Solution Approach 1:
The system pre-processes and stores time-series data with associated operation conditions before comparison is needed. Data are organized and indexed in advance, allowing users to simply specify operation conditions rather than manually searching through raw datasets, thus eliminating the immense work of data extraction while maintaining accurate difference detection
Solution Approach 2:
The system introduces an intermediary processing layer that automatically matches and retrieves time-series data based on specified operation conditions. This intermediary component handles the complex task of data specification and extraction, presenting only the relevant data to users for comparison, thereby reducing both time investment and maintaining precision
2Measurement precision
If conventional comparison methods are used to detect differences in time-series data, then operation states can be determined, but an immense amount of work is required when differences between datasets are small
Solution Approach 1:
The system replaces manual mechanical comparison methods with automated computational analysis. A calculation unit automatically computes differences between time-series datasets based on specified operation conditions, eliminating the need for manual inspection and reducing the immense work required when differences are subtle, while maintaining high detection precision through systematic calculation
Solution Approach 2:
The system creates standardized representations (copies) of time-series data with associated operation conditions, allowing automated comparison algorithms to efficiently analyze differences. These structured copies enable systematic processing and automatic detection of even minor differences without requiring manual intervention, thus improving ease of operation while maintaining precision
3Loss of information
If all time-series data are displayed without classification, then complete data availability is maintained, but the complexity of data management and comparison increases significantly
Solution Approach 1:
The system segments time-series data into distinct groups based on operation conditions while maintaining the completeness of individual datasets within each group. This segmentation allows organized management and targeted comparison of relevant data without losing information, reducing management complexity by presenting data in structured, condition-based categories rather than as an undifferentiated mass
Data Source
AI summary
To provide a time-series data analysis device which allows to compare time-series data easily.A time-series data analysis device analyzes the time-series data output by a machine tool, the time-series data analysis device including a time-series data acquisition unit configured to acquire the plurality of time-series data including operation conditions and operation results of the machine tool, a classification unit configured to classify the plurality of time-series data according to their respective operation conditions, a display control unit configured to perform control for displaying the plurality of time-series data according to the respective operation condition into which data was classified in the form of a list, and a calculation unit configured to calculate differences in the operation results for a plurality of time-series data selected from the plurality of time-series data included in one operation condition into which data was classified, wherein the display control unit performs control for displaying the calculated differences.