Plant Control Prediction Model for Autonomous Operation Decisions
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Solution Overview
Problem
Existing control systems for plants rely heavily on operator skill, leading to increased operational load and inefficiency due to the decline in skilled operators, and require burdensome preparation of step response time series for accurate operation.
Innovation Solution
A control system that utilizes a calculation model to repeatedly calculate control target and operation data based on observation data, reducing the need for operator skill and enabling autonomous or assisted operation by determining optimal operation values through a prediction and decision model.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If existing control systems rely on operator skill for plant operation, then operational accuracy can be maintained, but operational load increases and efficiency decreases due to decline in skilled operators
Solution Approach 1:
The control system performs autonomous operation determination by repeatedly calculating control target data and operation data using a calculation model, enabling the system to serve itself without relying on external operator expertise. The processor automatically determines optimal operation values through iterative calculation based on observation data, replacing the need for skilled human operators.
Solution Approach 2:
The patent replaces the mechanical dependency on human operator skill with an automated calculation model. The processor executes algorithmic operations to determine control targets and operation data, substituting the human decision-making mechanism with a computational system that consistently processes observation data to generate optimal operation values.
2Measurement precision
If existing control systems use accurate operation models, then operational precision improves, but preparation burden increases due to requirement of step response time series
Solution Approach 1:
The calculation model is constructed in advance using historical operation data and observation data, performing preliminary analysis to establish the relationship between plant states and optimal operations. This pre-computed model enables rapid real-time control decisions without requiring extensive step response time series preparation during actual operation.
Solution Approach 2:
The system creates a virtual copy of the plant's operational characteristics through the calculation model, which replicates the plant's behavior patterns based on historical data. This model copy allows the system to simulate and determine optimal operations without requiring physical experimentation or extensive step response measurements of the actual plant.
Data Source
AI summary
A control system includes at least one processor and at least one memory. The at least one processor is configured to determine operation data by repeating a process of calculating control target data indicating a predicted value of a control target in a plant and the operation data indicating an operation value of a control device of the plant by a given calculation model based on observation data indicating an actual value of the plant.