Virtual Plant Evaluation for Realistic Operator Training
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Solution Overview
Problem
Current training methods for plant operators are often inadequate, as they are performed in systems different from actual plants or impractically, leading to insufficient tension and reality, making it difficult to accurately evaluate operator training and improve operational safety.
Innovation Solution
An information processing device that calculates behavior simulations of an actual plant using a virtual plant mirroring the actual plant's operational status, allowing for the evaluation of operator performance based on calculated results from actual operations and pre-defined operation pattern plans.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If training is performed in a system different from the actual plant, then training can be conducted independently, but the tension and reality of training become insufficient
Solution Approach 1:
The patent creates a virtual plant that is a digital copy of the actual plant, replicating its structure, equipment, and operational characteristics. This virtual copy enables training to be conducted independently in a controlled environment while maintaining high fidelity to the real plant, thus resolving the contradiction between training independence and training effectiveness.
2Ease of operation
If training is performed impractically without realistic scenarios, then training can be completed easily, but accurate evaluation of operator performance becomes difficult
Solution Approach 1:
The system automatically evaluates operator actions in the virtual plant by comparing them with optimal operation patterns and provides detailed feedback on performance. This enables practical, realistic training scenarios while maintaining ease of operation and achieving accurate performance evaluation through automated assessment mechanisms.
3Reliability
If a virtual plant is used to follow the operational status of the actual plant, then realistic training and evaluation become possible, but system complexity increases
Solution Approach 1:
The virtual plant system serves multiple functions: it replicates the actual plant for training purposes, automatically evaluates operator performance, provides feedback, and can be used for various training scenarios. This multi-functionality justifies the system complexity by delivering comprehensive training and evaluation capabilities in an integrated platform.
Data Source
AI summary
When a worker executes an operation on an actual plant, an information processing device generates a first calculation result obtained by calculating a behavior of the actual plant after execution of the operation using a virtual plant following an operational status of the actual plant and generates each second calculation result obtained by calculating a behavior of the actual plant with respect to each of operation pattern plans corresponding to a state of the actual plant. The information processing device evaluates the operation that is executed by the worker based on the first calculation result and the second calculation result.