Estimated parameter based control of a process for controlling emission of a pollutant into the air
First Claim
1. A controller for directing a process primarily performed to control emission of a particular pollutant into the air, the process having multiple process parameters (MPPs) including a parameter representing an amount of the particular pollutant, comprising:
- one of a neural network process model and a non-neural network process model, the one model representing a relationship between a first of the MPPs and one or more of the other MPPs, the one or more other MPPs including a second of the MPPs which is other than the parameter representing the amount of the emitted particular pollutant; and
a processor configured with logic to estimate a value of the second MPP, and to direct control of the first MPP based on the estimated value of the second MPP and the one model;
wherein the second MPP is either (i) a pH level of matter applied in the process to absorb the particular pollutant and thereby control its emission into the air, (ii) a purity of a by-product produced in performing the process, (iii) an amount of oxygen dissolved in matter applied in the process to absorb the particular pollutant and thereby control its emission into the air, (iv) an amount of ammonia applied in the process to absorb the particular pollutant that is emitted into the air with the particular pollutant that is not absorbed, or (v) an amount of applied ammonia in exhausted reduced NOx flue gas, the particular pollutant being NOx, and the first MPP is an amount of the applied ammonia.
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Accused Products
Abstract
A controller directs a process primarily performed to control emission of a particular pollutant into the air. The process has multiple process parameters (MPPs), including a parameter representing an amount of the particular pollutant. The controller includes either a neural network process model or a non-neural network process model. In either case, the model represents a relationship between a first of the MPPs and one or more of the other MPPs. The one or more other MPPs include a second of the MPPs which is other than the parameter representing the amount of the emitted particular pollutant. Also included is a processor configured with logic to estimate a value of the second MPP, and to direct control of the first MPP based on the estimated value of the second MPP and the model.
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Citations
19 Claims
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1. A controller for directing a process primarily performed to control emission of a particular pollutant into the air, the process having multiple process parameters (MPPs) including a parameter representing an amount of the particular pollutant, 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 a first of the MPPs and one or more of the other MPPs, the one or more other MPPs including a second of the MPPs which is other than the parameter representing the amount of the emitted particular pollutant; and a processor configured with logic to estimate a value of the second MPP, and to direct control of the first MPP based on the estimated value of the second MPP and the one model; wherein the second MPP is either (i) a pH level of matter applied in the process to absorb the particular pollutant and thereby control its emission into the air, (ii) a purity of a by-product produced in performing the process, (iii) an amount of oxygen dissolved in matter applied in the process to absorb the particular pollutant and thereby control its emission into the air, (iv) an amount of ammonia applied in the process to absorb the particular pollutant that is emitted into the air with the particular pollutant that is not absorbed, or (v) an amount of applied ammonia in exhausted reduced NOx flue gas, the particular pollutant being NOx, and the first MPP is an amount of the applied ammonia. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A controller for directing a process primarily performed to control emission of a particular pollutant into the air, the process having multiple process parameters (MPPs) including a parameter representing an amount of the particular pollutant, 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 a first of the MPPs and one or more of the other MPPs, the one or more other MPPs including a second of the MPPs which is other than the parameter representing the amount of the emitted particular pollutant; and a processor configured with logic to estimate a value of the second MPP, and to direct control of the first MPP based on the estimated value of the second MPP and the one model; wherein the processor controls the first MPP by predicting, based on the one model, how a change in value of the first MPP will change the estimated value of the second MPP, and by directing control of the first MPP based on the predicted change in the estimated value of the second MPP.
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11. An article of manufacture for controlling a process primarily performed to control emission of a particular pollutant into the air, the process having multiple process parameters (MPPs) including a parameter representing an amount of the particular pollutant, comprising:
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computer readable storage media; and logic stored on the storage media, wherein the stored logic is configured to be readable by one or more computers and thereby cause the one or more computers to operate so as to; estimate a value of a first of the MPPs which is other than the parameter representing the amount of the emitted particular pollutant; and direct control of a second of the MPPs based on (i) the estimated value of the first MPP and (ii) one of a neural network process model and a non-neural network process model; wherein the one model represents a relationship between the second MPP and one or more of the other MPPs including the first MPP; wherein the first MPP is either (i) a pH level of matter applied in the process to absorb the particular pollutant and thereby control its emission into the air, (ii) a purity of a by-product produced in performing the process, (iii) an amount of oxygen dissolved in matter applied in the process to absorb the particular pollutant and thereby control its emission into the air, (iv) an amount of ammonia applied in the process to absorb the particular pollutant that is emitted into the air with the particular pollutant that is not absorbed, or (v) an amount of applied ammonia in exhausted reduced NOx flue gas, the particular pollutant being NOx, and the first MPP is an amount of the applied ammonia. - View Dependent Claims (12, 13, 14, 15, 16, 17, 18)
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19. An article of manufacture for controlling a process primarily performed to control emission of a particular pollutant into the air, the process having multiple process parameters (MPPs) including a parameter representing an amount of the particular pollutant, comprising:
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computer readable storage media; and logic stored on the storage media, wherein the stored logic is configured to be readable by one or more computers and thereby cause the one or more computers to operate so as to; estimate a value of a first of the MPPs which is other than the parameter representing the amount of the emitted particular pollutant; and direct control of a second of the MPPs based on (i) the estimated value of the first MPP and (ii) one of a neural network process model and a non-neural network process model; wherein the one model represents a relationship between the second MPP and one or more of the other MPPs including the first MPP; wherein directing control of the second MPP includes predicting, based on the one model, how a change in value of the second MPP will change the estimated value of the first MPP, and directing control of the second MPP based on the predicted change in the estimated value of the first MPP.
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Specification