Remote Equipment Monitoring with Classified Anomaly Reporting
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Solution Overview
Problem
Existing equipment monitoring systems face challenges in reducing the volume of anomaly reports sent to remote monitoring devices, making it difficult to identify urgent anomalies amidst a large amount of information.
Innovation Solution
The equipment monitoring device incorporates an anomaly detection unit, an anomaly identifying unit, and an anomaly reporting unit that categorize and level anomalies, allowing only urgent reports to be sent to the remote monitoring device, thereby reducing redundant information and focusing on severe anomalies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If all detected anomalies are reported to the remote monitoring device, then complete anomaly information is provided, but the number of anomaly reports increases and makes it difficult to identify urgent issues
Solution Approach 1:
The patent segments anomalies into different categories (e.g., operational anomalies, maintenance anomalies) and levels (e.g., urgent, non-urgent). The anomaly identifying unit classifies each detected anomaly by category and level, enabling selective reporting. Only anomalies meeting specific classification criteria are reported to the remote monitoring device, thereby reducing report volume while maintaining information quality for urgent issues.
Solution Approach 2:
The patent applies local quality by treating different anomalies differently based on their classification. Urgent anomalies are reported immediately to the remote monitoring device, while non-urgent anomalies are filtered out or deferred. This differential treatment based on anomaly characteristics reduces the overall report volume while ensuring that critical information is not lost.
2Ease of operation
If anomaly filtering is implemented to reduce report volume, then urgent anomalies can be identified more easily, but some anomaly information may be lost
Solution Approach 1:
The anomaly identifying unit performs preliminary classification of anomalies by category and level before reporting. This preliminary action filters and prioritizes anomalies in advance, ensuring that only relevant urgent anomalies are reported to the remote monitoring device. This prevents information loss of critical anomalies while filtering out non-critical ones, achieving both reduced volume and maintained information quality.
Solution Approach 2:
The patent changes the parameters used for anomaly reporting by introducing category and level classifications. Instead of reporting all anomalies uniformly, the system adjusts reporting based on classified parameters, reporting only those anomalies that meet specific category-level criteria. This parameter-based filtering reduces report volume while preserving all urgent anomaly information.
3Productivity
If redundant anomaly reports are prevented, then information processing is optimized, but the system complexity increases
Solution Approach 1:
The anomaly identifying unit segments the anomaly evaluation process into distinct classification steps: categorizing anomalies by type and assigning severity levels. This segmented approach systematically prevents redundant reports by comparing new anomalies against classified criteria, optimizing information processing while maintaining manageable system complexity through structured classification.
Solution Approach 2:
The system implements feedback mechanisms where the anomaly identifying unit continuously compares newly detected anomalies against previously classified and reported anomalies. This feedback loop prevents redundant reporting by identifying and filtering out anomalies that match existing classified patterns, thereby optimizing information processing efficiency while using systematic classification to manage complexity.
Data Source
AI summary
An equipment monitoring device for monitoring equipment and transmitting an operational status of the equipment to a remote monitoring device that is provided in a remote location relative to the equipment includes an anomaly detection unit, an anomaly identifying unit and an anomaly reporting unit. The anomaly detecting unit is configured to detect an anomaly that occurs in the equipment. The anomaly identifying unit is configured to identify the anomaly based on at least one of an anomaly category and an anomaly level. The an anomaly reporting unit is configured to issue an anomaly report of the anomaly to the remote monitoring based on identification of the anomaly by the anomaly identifying unit.