Plant Device Topology Mapping for Affected Range Prediction
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Solution Overview
Problem
Existing systems in plants, such as those using oil, petrochemicals, and gas, face challenges in predicting the affected range when a failure or setting change occurs in one device, making it difficult to assess and manage potential impacts on other connected devices.
Innovation Solution
An information processing apparatus and method that includes a detection unit to identify events, a search unit to analyze topology data for connected devices, and an output unit to display the affected range, utilizing topology data to predict and visualize the impact of events across the plant's network.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If monitoring techniques and simulation techniques are used to track plant operation and calculate control values, then operational safety and control precision are improved, but the ability to predict the affected range of events across devices remains insufficient
Solution Approach 1:
The patent segments the plant system into individual devices and their interconnections, representing the complex system as a graph structure where devices are nodes and connections are edges. This segmentation allows for targeted analysis of event propagation paths while maintaining overall system context, enabling prediction of affected ranges without requiring complete system-wide simulation.
Solution Approach 2:
The patent introduces topology data as an intermediary structure that captures the connection relationships between devices. This intermediary representation enables the system to predict event propagation by analyzing connection paths in the topology graph, rather than directly simulating physical event propagation through the entire plant system.
2Measurement precision
If comprehensive monitoring of all devices is implemented to predict event impacts, then prediction accuracy is improved, but system complexity and data processing requirements increase
Solution Approach 1:
The patent extracts only the essential connection topology information from the complex plant system, creating a simplified graph representation that captures device relationships without including all operational parameters. This extraction maintains prediction capability by focusing on structural relationships while reducing data complexity.
Solution Approach 2:
The patent transforms the physical device connection structure into a graphical dimension (nodes and edges), enabling analysis of event propagation through topological relationships. This dimensional transformation allows for efficient prediction of affected ranges by leveraging graph theory algorithms rather than processing comprehensive operational data from all devices.
Data Source
AI summary
A CI server 10 detects an event occurring in a device used for a plant operation, searches topology data for a device having a relationship with a device in which the event has been detected, and outputs a device obtained as a search result. The topology data includes a connection form between devices having a specific relationship.