Scott Alan Boyden, Age 621612 E Kael St, Mesa, AZ 85203

7117046, Oct 3, 2006

Aug 27, 2004

10/926991

Scott A. Boyden - Knoxville TN, US
Stephen Piche - Austin TX, US

Alstom Technology Ltd. - Baden

G05B 13/02

700 52, 700 29, 700 33, 700 36, 700 37, 700 44, 700 48, 700 51, 700108, 700267, 700272, 700273, 700 8, 702 31, 702 32, 702 84, 702182, 702199, 706 21, 706 23, 422172, 422262, 42324311

At least one of the multiple process parameters (MPPs) is a controllable process parameter (CTPP) and one is a targeted process parameter (TPP). The process also has a defined target limit (DTV) representing a first limit on an actual average value (AAV) of the TPP. A first logical controller predicts future average values (FAVs) of the TPP based on the AAVs of the TPP over a first prior time period and the DTV. A second logical controller establishes a further target limit (FTV) representing a second limit on the AAV of the TPP based on one or more of the predicted FAVs, and also determines a target set point for each CTPP based on the AAVs of the TPP over a prior time period and the FTV. The second logical controller directs control of each CTPP in accordance with the determined target set point.

7323036, Jan 29, 2008

Aug 27, 2004

10/927221

Scott A. Boyden - Knoxville TN, US
Stephen Piche - Austin TX, US

ALSTOM Technology Ltd

G06F 15/18

95108, 96150, 96417, 700 44, 706 23, 706 44, 706 58, 706906, 95 1, 95 8, 55DIG 34, 422177, 422179, 422180, 423222, 4232421, 423539

A controller directs the operation of an air pollution control (APC) system having one or more controllable operating parameters and a defined operating limit representing a regulatory limit on an allowed amount of pollutant to be emitted by the APC system. An interface receives data representing a value of a regulatory credit available for emitting less of the pollutant than the regulatory limit on the allowed amount of pollutant. A control processor (i) determines a target set point for each of at least one of the one or more controllable operating parameters, which will maximize the regulatory credits earned, based on the received data and (ii) to directs control of each of the at least one controllable operating parameter based on the determined target set point for that parameter.

7522963, Apr 21, 2009

Aug 27, 2004

10/927229

Scott A. Boyden - Knoxville TN, US
Stephen Piche - Austin TX, US

ALSTOM Technology Ltd - Baden

G05B 13/02
G05D 7/00

700 52, 700266, 700274, 422111, 422171, 422172

A controller directs operation of an air pollution control (APC) system performing a process to control emissions of a pollutant. The process has multiple process parameters (MPPs), one or more of the MPPs being a controllable process parameters (CTPPs) and one of the MPPs being an amount of the pollutant (AOP) emitted by the system. A user input device identifies an optimization objective. A control processor determines a set point for at least one of the one or more CTPPs based on the current values of the MPPs and the identified optimization objective, and directs control of one of the at least one CTPP based on the determined set point for that CTPP.

7536232, May 19, 2009

Aug 27, 2004

10/927243

Scott A. Boyden - Knoxville TN, US
Stephen Piche - Austin TX, US

ALSTOM Technology Ltd - Baden

G05B 13/02
G05D 7/00

700 52, 700266, 700274, 422111, 422171, 422172

A controller for directing operation of an air pollution control system performing a process to control emissions of a pollutant has multiple process parameters (MPPs). One or more of the MPPs is a controllable process parameter (CTPP) and one of the MPPs is an amount of the pollutant (AOP) emitted by the system. A defined AOP value (AOPV) represents an objective or limit on an actual value (AV) of the emitted AOP. The controller includes either a neural network process model or a non-neural network process model representing a relationship between each CTPP and the emitted AOP. A control processor has the logic to predict, based on the model, how changes to the current value of each CTPP will affect a future AV of emitted AOP, to select one of the changes in one CTPP based on the predicted affect of that change and on the AOPV, and to direct control of the one CTPP in accordance with the selected change for that CTPP.

7634417, Dec 15, 2009

Aug 27, 2004

10/927049

Scott A. Boyden - Knoxville TN, US
Stephen Piche - Austin TX, US

ALSTOM Technology Ltd. - Baden

G06Q 10/00

705 1, 95108, 96150, 422177, 705400, 706 23

A controller for directing operation of an air pollution control (APC) system, requires a consumable to perform a process to control emissions of a pollutant. The process has multiple process parameters (MPPs). One or more of the MPPs is a controllable process parameters (CTPPs) and one of the MPPs is an amount of the pollutant (AOP) emitted by the system. A defined AOP value (AOPV) represents a limit on an actual value (AV) of the emitted AOP. An interface receives a value corresponding to a unit cost of the consumable. A control processor determines the cost of operating the system based on the received value corresponding to the unit cost of the consumable, and directs control of at least one of CTPPs based on the current value of that CTPP and the determined operating cost.

7640067, Dec 29, 2009

Dec 7, 2004

11/004837

Scott A. Boyden - Knoxville TN, US
Stephen Piche - Austin TX, US

Alstom Technology Ltd. - Baden

G05B 13/02
G05B 21/00
G06F 7/00
G06F 17/00
F01N 3/00
G01N 30/96
B01D 50/00
B01D 53/34
B01D 53/86
F23J 11/00
C01B 21/00
C01B 17/00

700 52, 700 32, 700 44, 700 48, 700 54, 700267, 700274, 701103, 60274, 422 88, 422168, 423235, 4232421

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.

7698004, Apr 13, 2010

Dec 3, 2004

11/002439

Scott A. Boyden - Knoxville TN, US
Stephen Piche - Austin TX, US

ALSTOM Technology Ltd. - Windsor CT

G05B 13/02
G05B 21/00
G06F 17/00
G06F 19/00
G01N 31/00
B01D 50/00
B01D 53/34
B01D 53/56
B01D 53/86
B01D 53/50
C01B 21/00
F01N 3/00

700 52, 700 48, 700 51, 700 54, 700267, 700274, 701103, 701109, 702 24, 702 30, 422 83, 422177, 423235, 4232422, 42324301, 42324402, 436 55, 60274

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.

7702519, Apr 20, 2010

Dec 7, 2004

11/004839

Scott A Boyden - Knoxville TN, US
Stephen Piche - Austin TX, US

ALSTOM Technology Ltd. - Windsor CT

G06Q 10/00

705 1, 95108, 96150, 422177, 705400, 706 23

An economic parameter estimator is provided for a process that has multiple process parameters (MPPs) and is performed to control emission of a pollutant into the air. The performance of the process is associated with one or more economic factors (EFs). The estimator includes either a neural network process model or a non-neural network process model. In either case, the model represents a relationship between one or more of the MPPs and an economic parameter. Also included is a processor configured with logic, e. g. programmed software, to estimate a monetary value of the economic parameter based on a value of each of the one or more MPPs, a value of each of at least one of the one or more EFs, and the one model.