APC process control when process parameters are inaccurately measured
First Claim
1. A controller for directing control of a process, having multiple process parameters (MPPs), performed to control an amount of a pollutant emitted into the air, comprising:
- one of a neural network process model and a non-neural network process model, the one model representing a relationship between one of the MPPs and other of the MPPs;
a control processor configured with the logic to determine validity of a measured value of the one MPP based on the one model, and to direct control of the process in accordance with the measured value of the one MPP, only if the measured value of the one MPP is determined to be valid.
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Accused Products
Abstract
A controller is provided for directing control of a process performed to control an amount of a pollutant emitted into the air. The process has multiple process parameters (MPPs) The controller includes either a neural network process model or a non-neural network process model. Whichever type model is included, it will represent a relationship between one of the MPPs and other of the MPPs. The controller also includes a control processor having the logic to determine the validity of a measured value of the one MPP based on the one model. The control processor directs control of the process in accordance with the measured value of the one MPP only if the measured value of the one MPP is determined to be valid. On the other hand, if the measured value is determined to be invalid, the control processor may direct control of the process in accordance with an estimated value of the one MPP.
33 Citations
20 Claims
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1. A controller for directing control of a process, having multiple process parameters (MPPs), performed to control an amount of a pollutant emitted into the air, comprising:
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one of a neural network process model and a non-neural network process model, the one model representing a relationship between one of the MPPs and other of the MPPs;
a control processor configured with the logic to determine validity of a measured value of the one MPP based on the one model, and to direct control of the process in accordance with the measured value of the one MPP, only if the measured value of the one MPP is determined to be valid. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A method for directing control of a process, having multiple process parameters (MPPs), performed to control an amount of a pollutant emitted into the air, comprising:
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determining validity of a measured value of one of the MPPs based on one of a neural network process model and a non-neural network process model, the one model representing a relationship between the one MPP and other of the MPPs; and
directing control of the process in accordance with the measured value of the one MPP, only if the measured value of the one MPP is determined to be valid. - View Dependent Claims (10, 11, 12, 13, 14, 15, 16)
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17. A wet flue gas desulfurizing system, comprising:
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a wet flue gas desulfurizer configured (i) to receive SO2 laden wet flue gas, (ii) to apply limestone slurry to remove SO2 from the received SO2 laden wet flue gas, and (iii) to exhaust desulfurized flue gas;
a pH sensor to measure a pH level of the applied limestone slurry;
one of a neural network process model and a non-neural network process model, the one model representing a relationship between the pH level of the applied limestone slurry and an amount of the SO2 in the received SO2 laden wet flue gas and an amount of the SO2 in the exhausted desulfurized flue gas; and
a control processor configured with the logic to determine validity of the measured pH level of the applied limestone slurry based on the one model, and to direct control of the process in accordance with the measured pH level of the applied limestone slurry only if the measured pH level of the applied limestone slurry is determined to be valid. - View Dependent Claims (18)
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19. A selective catalytic reduction system, comprising:
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selective catalytic reducer configured (i) to receive NOx laden flue gas, (ii) to apply ammonia to remove NOx from the received NOx laden flue gas, and (iii) to exhaust reduced NOx flue gas;
an ammonia sensor to measure an amount of ammonia in the exhausted reduced NOx flue gas;
one of a neural network process model and a non-neural network process model, the one model representing a relationship between the amount of the ammonia in the exhausted reduced NOx flue gas and an amount of NOx in the received NOx laden flue gas and an amount of NOx in the exhausted reduced NOx flue gas; and
a control processor having the logic to determine validity of the measured amount of ammonia in the exhausted reduced NOx flue gas based on the one model, and to direct control of the process in accordance with the measured amount of ammonia in the exhausted reduced NOx flue gas only if the measured amount of ammonia in the exhausted reduced NOx flue gas is determined to be valid. - View Dependent Claims (20)
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Specification