Control System Abnormality Diagnosis With Guided Cause Conjecture
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Solution Overview
Problem
In production facilities, identifying and addressing abnormalities in control systems is time-consuming due to the need for manual consultation or inquiries, delaying recovery processes.
Innovation Solution
An information processing system that includes a first acquisition unit to gather data from the control system, an abnormality detail determination unit to analyze the issue, a cause conjecture unit to identify the root cause, and a notification system to inform users promptly, allowing for early detection and resolution of abnormalities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If a worker manually consults a manual or makes an inquiry to identify an abnormality, then the worker can understand the details of the abnormality, but it takes time to acquire the information
Solution Approach 1:
The system enables self-service by having the control system automatically notify the information processing system of abnormalities, which then autonomously determines abnormality details and conjectures causes without requiring manual intervention for information gathering. The system serves itself by automatically acquiring state information, analyzing it, and generating diagnostic conclusions.
Solution Approach 2:
The information processing system acts as an intermediary between the control system and the worker. It receives abnormality notifications from the control system, processes the information through multiple analysis units, and presents conjectured causes to the worker, thereby eliminating the need for the worker to directly consult manuals or make inquiries.
Solution Approach 3:
The system performs preliminary actions by automatically determining abnormality details and conjecturing causes before the worker needs to investigate. The first acquisition unit gathers state information, the abnormality detail determination unit analyzes it, and the cause conjecture unit prepares diagnostic conclusions in advance, so the worker receives ready-made information immediately.
2Loss of time
If the system automatically acquires and analyzes abnormality information, then the cause can be identified quickly, but the system complexity increases
Solution Approach 1:
The information processing system is segmented into distinct functional units: a first acquisition unit for gathering state information, an abnormality detail determination unit for analyzing the information, a cause conjecture unit for diagnosing causes, and a notification unit for communicating results. This segmentation allows each unit to perform a specific function efficiently while maintaining overall system manageability.
Solution Approach 2:
The information processing system performs multiple functions within a single integrated platform: it acquires state information from the control system, determines abnormality details, conjectures causes, and notifies workers. This multi-functionality reduces the need for separate systems for each task, thereby managing complexity while providing comprehensive abnormality handling.
Data Source
AI summary
An information processing system includes a first acquisition unit configured to acquire first information indicating a state of a control system including a control device in response to an occurrence of a request or an event related to an abnormality that has occurred in the control system, an abnormality detail determination unit configured to determine details of the abnormality that has occurred on the basis of the first information, a second acquisition unit configured to request, in accordance with the details of the abnormality, a user to provide second information and acquire the second information from the user, a cause conjecture unit configured to conjecture a cause of the abnormality that has occurred on the basis of the first information and the second information, and a notification means configured to notify the user of the conjectured cause of the abnormality.