Root Cause Analysis for Process Control Communication Networks
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Solution Overview
Problem
In process control systems, identifying the root cause of communication discrepancies is challenging, often requiring expert knowledge and leading to prolonged downtime due to the complexity of communication networks and the difficulty in determining critical failure points.
Innovation Solution
A system model is used to automatically identify potential communication network elements causing failures, allowing for fast and reliable detection of network problems without expert knowledge, utilizing a problem investigating device that includes a network forming unit and a root cause analyzing unit to simulate and analyze communication networks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual expert analysis is used to identify root causes of communication failures, then analysis accuracy is improved, but time consumption and system downtime increase
Solution Approach 1:
The patent creates a virtual copy of the communication network infrastructure including devices, connections, and communication paths. This virtual model can be analyzed without affecting the real system, enabling rapid root cause identification through simulation and comparison, thus reducing both time consumption and system downtime while maintaining analysis accuracy.
Solution Approach 2:
The system performs preliminary analysis by pre-establishing the virtual communication infrastructure model and pre-configuring analysis rules before actual failures occur. When communication failures happen, the system can immediately compare actual communication paths against the pre-built virtual model, significantly reducing the time needed for root cause identification.
2Difficulty of detecting and measuring
If comprehensive communication network monitoring is implemented, then problem detection capability is improved, but system complexity increases
Solution Approach 1:
The patent introduces a virtual communication infrastructure as an intermediary layer between the physical communication network and the analysis system. This virtual model simplifies the monitoring complexity by providing an abstracted representation that is easier to analyze while still capturing essential communication characteristics, thus improving detection capability without proportionally increasing system complexity.
3Measurement precision
If detailed communication path analysis is performed, then root cause identification accuracy is improved, but computational resources and time required increase
Solution Approach 1:
The patent segments the communication infrastructure into discrete virtual devices and communication paths that can be independently analyzed. This segmentation allows the system to focus analysis only on relevant segments affected by communication failures, rather than analyzing the entire network, thus improving root cause identification accuracy while reducing overall analysis time and computational resources required.
Data Source
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AI summary
A method for locating a possible root cause of system discrepancy in a process control system uses a system model comprising software representations of process control endpoint devices interconnected via a communication network using a number of links, where each link is provided for communication in relation to a process control function between two endpoint devices and comprises a set of communication network elements and a reference to a set of communication parameters of the process control function. In the method an indication that at least one communication parameter deviates from a communication requirement is obtained (50), a link where reference is made to the communication parameter identified (52), communication network elements contributing to the functioning of the link identified (54) and at least one of the communication network elements indicated as a possible cause of the deviation.