Display Apparatus for Automatic Time-Series Data Filtering
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Solution Overview
Problem
In industrial process monitoring, users face challenges in interpreting time-series data due to varying frequency components of noise and disturbance, which requires adjusting the cutoff frequency of low-pass filters across multiple measurement points, leading to a user burden and potential missed events when the cutoff frequency is incorrectly set.
Innovation Solution
A display apparatus with an operation input device, analysis condition setting device, computation device, and display screen generation device that automatically sets analysis conditions based on the number of samples in a data range, executes a low-pass filter operation, and displays waveforms or trends, including a change trend calculation to minimize an objective function, thereby reducing the need for manual filter length and coefficient adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual adjustment of cutoff frequency is performed for each measurement point, then filtering precision can be optimized, but user burden increases and operation complexity increases
Solution Approach 1:
The system automatically determines the cutoff frequency based on the period detected from the time-series data itself, without requiring manual user input. The processor extracts the period from the data and calculates the cutoff frequency as 1/(2×period), enabling the system to self-adjust filtering parameters according to the actual data characteristics
Solution Approach 2:
The cutoff frequency parameter is dynamically changed based on the detected period of the time-series data. Instead of using a fixed or manually set cutoff frequency, the system adapts the parameter automatically according to the actual signal characteristics, optimizing filtering precision for varying measurement conditions
2Productivity
If cutoff frequency is incorrectly set, then filtering efficiency may be reduced, but abnormal events may be missed
Solution Approach 1:
The system uses feedback from the time-series data itself to determine the appropriate cutoff frequency. By detecting the period from the actual data and using it to set the filtering parameter, the system creates a closed-loop adaptation mechanism that ensures the cutoff frequency is always appropriate for the current signal characteristics, preventing both over-filtering and under-filtering
Solution Approach 2:
The system performs preliminary detection of the period from the time-series data before applying the low-pass filter. This preliminary analysis allows the system to pre-determine the optimal cutoff frequency based on the actual signal characteristics, ensuring that the filtering operation will be both efficient and reliable from the start
Data Source
AI summary
A display apparatus includes: an operation input device configured to designate a data range of an observed value; an analysis condition setting device configured to determine an analysis range or an analysis parameter of the observed value, corresponding to the number of samples included in the data range; a computation device configured to analyze a waveform or a trend of the observed value on the basis of the analysis range or analysis parameter; and a display screen generation device configured to cause a display device to display a waveform or a straight line as a computation result of the computation device.