Control Target Diagnostics With Synchronized Waveform and Video
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Solution Overview
Problem
Users on production sites face challenges in determining the state of control targets, such as identifying abnormalities in machines or devices, using collected data.
Innovation Solution
A control system that cyclically controls a target, comprising an imaging unit, an image collection unit, a data collection unit, an acquisition unit, a selecting operation reception unit, and a waveform display unit, which displays temporal waveforms and moving images side by side for selected representative values to assist users in determining the state of the control target.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users analyze collected data to determine the state of control targets, then diagnostic accuracy is improved, but analysis time and operational complexity increase
Solution Approach 1:
The system pre-processes and organizes data during collection, creating structured datasets with timestamps and metadata before analysis is needed. This preliminary organization of data during the collection phase reduces the time required for analysis while maintaining diagnostic accuracy.
Solution Approach 2:
The system introduces an intermediate data processing layer that transforms raw collected data into structured, analysis-ready formats. This intermediary processing step acts as a bridge between data collection and diagnostic analysis, reducing the time burden on users while preserving diagnostic accuracy.
2Measurement precision
If users manually analyze collected data to determine control target state, then diagnostic capability is improved, but ease of operation deteriorates
Solution Approach 1:
The system automatically performs data processing, structuring, and preliminary analysis tasks without requiring manual user intervention. This self-service approach maintains high diagnostic capability while significantly improving ease of operation by handling complex tasks automatically.
Solution Approach 2:
The system replaces manual data analysis operations with automated computational processes. This substitution of mechanical/manual analysis with automated systems preserves diagnostic capability while dramatically improving ease of operation.
3Measurement precision
If comprehensive data is collected from control targets, then diagnostic accuracy is improved, but device complexity increases
Solution Approach 1:
The system segments the data collection and processing functions into distinct modular components. Each component handles specific aspects of data collection or processing, which maintains comprehensive diagnostic capability while reducing overall device complexity through functional separation and modularity.
4Measurement precision
If detailed state values are collected and analyzed, then diagnostic precision is improved, but loss of time increases
Solution Approach 1:
The system performs preliminary processing and structuring of detailed state values during the data collection phase, before analysis is required. This advance preparation maintains diagnostic precision while reducing the time needed for actual analysis by having data ready in an analysis-ready format.
Data Source
AI summary
A control system collects a captured image of a target associated with an imaging time, cyclically collects state values of the target, and acquires, for each predetermined length of time, a representative value of state values collected over the predetermined length of time. For a representative value from among representative values each acquired for each predetermined length of time, the control system displays a temporal waveform and a moving image side by side, the temporal waveform is a temporal waveform of the state values collected over the time associated with the representative value, and the moving image is a moving image of images each associated with the imaging time in the predetermined length of time.