Plant Operation Signal Classification for Lower Optimization Load
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Solution Overview
Problem
Existing plant operation optimization control devices face high calculation loads due to handling all sensor signals, necessitating a reduction in calculation load while extracting essential signals for control targets and retaining sensitive information, especially during low-frequency operations.
Innovation Solution
A plant operation optimization support device that autonomously extracts sensitivity signals by classifying operation states and determining control rules using a sensitivity estimation unit, signal classification unit, and control rule optimization unit to minimize the calculation load and optimize plant efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If all sensor signals are handled as input in plant operation optimization control, then the control comprehensiveness is improved, but the calculation load increases
Solution Approach 1:
The patent extracts only the essential sensor signals that have high sensitivity to the control target from all available sensor signals. The sensitivity estimation unit calculates sensitivity values for each sensor signal with respect to the control target, and only signals exceeding a threshold are selected for control calculations, thereby reducing computation while maintaining control effectiveness
Solution Approach 2:
The patent applies different processing to different sensor signals based on their local characteristics (sensitivity to control target). Each sensor signal is evaluated individually for its sensitivity, and the system adapts by selecting only those signals with high sensitivity, rather than uniformly processing all signals
2Productivity
If sensor signals are reduced to lower calculation load, then the calculation load is reduced, but the sensitive information may be lost
Solution Approach 1:
The patent implements a feedback mechanism where the sensitivity estimation unit continuously evaluates the sensitivity of sensor signals to the control target. This feedback loop ensures that only signals with proven high sensitivity are selected, preventing loss of critical information while reducing the signal set for control calculations
3Measurement precision
If sensitivity-based signal selection is implemented, then the signal processing precision is improved, but the device complexity increases
Solution Approach 1:
The patent implements a self-service mechanism where the sensitivity estimation unit automatically evaluates and ranks sensor signals based on their sensitivity to the control target. The system autonomously selects the most relevant signals without requiring manual configuration or complex external processing, thereby achieving precise signal selection with manageable system complexity
Data Source
AI summary
The purpose of the present invention is to provide a plant operation optimization assistance device, a plant operation optimization control device, and a method, which enable a reduction in computational load. The plant operation optimization assistance device is characterized by comprising: an input unit for inputting, as an input signal, an operation amount signal assigned to a plant and a process signal detected at the plant; a sensitivity estimation unit for taking, as a sensitivity signal, a time change amount of the process signal with respect to the operation amount signal; and a signal classification unit for sorting operational states of the plant from the input signal and giving an operational state signal, and also extracting, as a state-specific high-sensitivity signal, a sensitivity signal indicating high-sensitivity, from among sensitivity signals, for each of the sorted operational states.