Equipment Status Monitoring with Diagnosis Score Visualization
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Solution Overview
Problem
Existing monitoring technologies for industrial equipment primarily focus on detecting predictive failure signs based on threshold values, neglecting the current status of the equipment, which is crucial for condition-based maintenance.
Innovation Solution
A monitoring apparatus and method that includes an input unit for designating equipment information, an equipment status decision unit to analyze data, a diagnosis score calculation unit to evaluate the equipment status, and a visualization unit to present the diagnosis results, enabling users to comprehend the current status of the equipment effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If threshold-based failure detection is used, then predictive failure signs can be detected, but the current status of equipment within the allowable range cannot be judged
Solution Approach 1:
The patent segments the equipment status evaluation into multiple dimensions by dividing the diagnosis into different analysis items (vibration, temperature, pressure, etc.) and evaluation stages (trend analysis, threshold comparison, status classification). This segmentation allows the system to preserve both failure detection capability and current status information by analyzing each dimension separately and comprehensively.
Solution Approach 2:
The patent introduces an intermediary diagnosis score and status classification system between the raw monitoring data and the final failure detection result. This intermediary layer (including status categories like 'normal', 'attention required', 'abnormal') bridges the gap between simple threshold detection and comprehensive status evaluation, allowing users to understand equipment status without losing failure detection accuracy.
2Reliability
If only threshold-based judgment is implemented, then predictive failure can be detected, but the equipment status cannot be presented in an easily comprehensible manner
Solution Approach 1:
The patent applies color-coded status classification (e.g., green for normal, yellow for attention required, red for abnormal) to represent different equipment status levels. This visual encoding makes the equipment status easily comprehensible for users while maintaining the underlying threshold-based detection accuracy, as each color corresponds to specific diagnostic criteria and score ranges.
Solution Approach 2:
The patent creates a simplified copy or representation of the complex diagnostic data through status classification and scoring systems. Instead of presenting raw monitoring data and complex analysis results, the system generates an simplified status summary that mirrors the essential information in an easily comprehensible format, allowing users to quickly grasp equipment health without being overwhelmed by detailed data.
Data Source
AI summary
Designation of equipment identifying information for identifying object equipment that is the equipment which is an analysis object, and an analysis item to be analyzed regarding the object equipment is accepted; data of a data type which is required to analyze the accepted analysis item is acquired and a current equipment status of the object equipment is decided based on the acquired data; a diagnosis score for evaluating a current status of the object equipment as a score is calculated based on the decided equipment status of the object equipment and a diagnosis result of the object equipment is decided on the basis of the calculated diagnosis score; and the decided diagnosis result of the object equipment is visualized.