Facility State Monitoring with Intermittent Data Pattern Analysis
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Solution Overview
Problem
The existing facility state monitoring systems face challenges in efficiently processing and analyzing data from multiple measurement apparatuses due to increased data transmission amounts, leading to potential buffer overflows and network congestion, especially when dealing with repeating patterns in measurement data.
Innovation Solution
A facility state monitoring system that transmits measurement data intermittently, allowing the analysis apparatus to estimate a standard data pattern from common portions of the received data and determine anomalies by referencing this pattern, thereby reducing data concentration and transmission volume.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If measurement data is transmitted continuously from multiple measurement apparatuses, then complete data for facility state monitoring is achieved, but data transmission volume increases causing buffer overflows and network congestion
Solution Approach 1:
The patent extracts only the essential information needed for facility state monitoring by transmitting intermittent measurement data instead of continuous data streams. The analysis apparatus reconstructs complete operational patterns from these intermittent samples, extracting the minimum necessary data volume while maintaining monitoring reliability.
Solution Approach 2:
The analysis apparatus performs preliminary reconstruction of standard operational patterns from intermittent data before actual anomaly detection occurs. By pre-building reference patterns from historical intermittent measurements, the system prepares analysis frameworks in advance, reducing the need for continuous real-time data transmission during monitoring operations.
2Loss of information
If all measurement data is collected and processed centrally, then comprehensive analysis is achieved, but processing performance and communication bandwidth are exceeded
Solution Approach 1:
The patent segments the data processing workload by distributing intermittent measurement data collection across multiple measurement apparatuses while centralizing only the essential reconstruction and anomaly detection functions at the analysis apparatus. This segmentation allows each component to operate within its capacity limits while maintaining overall system effectiveness.
Solution Approach 2:
The system uses partial action by transmitting only intermittent samples rather than complete continuous data streams. The analysis apparatus performs partial reconstruction of operational patterns from these samples, achieving sufficient monitoring capability without the excessive data processing burden of handling complete continuous streams from all apparatuses.
3Quantity of substance
If intermittent data transmission is used to reduce data volume, then network congestion is prevented, but data pattern recognition becomes more difficult
Solution Approach 1:
The analysis apparatus performs preliminary reconstruction of standard operational patterns from collected intermittent data before using them for anomaly detection. By pre-establishing reference patterns from historical intermittent measurements, the system simplifies subsequent pattern recognition tasks, making intermittent data as effective as continuous data for detection purposes.
Solution Approach 2:
The system implements feedback mechanisms where the analysis apparatus continuously refines its understanding of normal operational patterns based on incoming intermittent data. This feedback loop allows the system to adapt to variations in facility operation while maintaining accurate anomaly detection, overcoming the limitations of intermittent sampling.
Data Source
AI summary
A measurement apparatus that measures a facility of a measurement target and that is able to transmit measurement data as intermittent data and an analysis apparatus. An analysis apparatus includes: a communication part that receives the intermittent data from the measurement apparatus; and an analysis part that estimates a standard data pattern serving as a reference, based on a common portion between a pair of the data in a set of the intermittent data received and determines presence of an anomaly for intermittent data of a determination target received from the measurement apparatus by referring to the standard data pattern.