公开(公告)号：US20130055021A1

公开(公告)日：2013-02-28

申请号：US13608578

申请日：2012-09-10

申请人： Eugene Boe ,  Stephen Piche ,  Gregory D. Martin

发明人： Eugene Boe ,  Stephen Piche ,  Gregory D. Martin

IPC分类号： G06F11/07

CPC分类号： G05B13/027 ,  G05B13/042 ,  G05B13/048 ,  G05B17/02 ,  G09B23/02

摘要： A method for providing independent static and dynamic models in a prediction, control and optimization environment utilizes an independent static model (20) and an independent dynamic model (22). The static model (20) is a rigorous predictive model that is trained over a wide range of data, whereas the dynamic model (22) is trained over a narrow range of data. The gain K of the static model (20) is utilized to scale the gain k of the dynamic model (22). The forced dynamic portion of the model (22) referred to as the bi variables are scaled by the ratio of the gains K and k. Thereafter, the difference between the new value input to the static model (20) and the prior steady-state value is utilized as an input to the dynamic model (22). The predicted dynamic output is then summed with the previous steady-state value to provide a predicted value Y.

摘要翻译： 在预测，控制和优化环境中提供独立的静态和动态模型的方法使用独立的静态模型（20）和独立的动态模型（22）。 静态模型（20）是一种严格的预测模型，可在广泛的数据范围内进行训练，而动态模型（22）则是在窄范围的数据上进行训练。 使用静态模型（20）的增益K来缩放动态模型（22）的增益k。 被称为双变量的模型（22）的强制动态部分通过增益K和k的比率来缩放。 此后，将输入到静态模型（20）的新值与先前稳态值之间的差用作动态模型（22）的输入。 然后将预测的动态输出与先前的稳态值相加以提供预测值Y.

公开(公告)号：US20120059525A1

公开(公告)日：2012-03-08

申请号：US13293568

申请日：2011-11-10

申请人： Stephen Piche

发明人： Stephen Piche

IPC分类号： G05B13/04 ,  G06F1/26

CPC分类号： H02J3/38 ,  F23N2023/40 ,  F23N2023/44 ,  H02J2003/007 ,  Y02E40/76 ,  Y02E60/76 ,  Y04S10/545 ,  Y04S40/22

摘要： A method and apparatus for optimizing the operation of a single or multiple power generating units using advanced optimization, modeling, and control techniques. In one embodiment, a plurality of component optimization systems for optimizing power generating unit components are sequentially coordinated to allow optimized values determined by a first component optimization system to be fed forward for use as an input value to a subsequent component optimization system. A unit optimization system may be provided to determine goals and constraints for the plurality of component optimization systems in accordance with economic data. In one embodiment of the invention, a multi-unit optimization system is provided to determine goals and constraints for component optimization systems of different power generating units. Both steady state and dynamic models are used for optimization.

摘要翻译： 一种使用先进优化，建模和控制技术优化单个或多个发电机组的运行的方法和装置。 在一个实施例中，用于优化功率产生单元组件的多个组件优化系统被顺序地协调，以允许由第一组件优化系统确定的优化值被提前向用作后续组件优化系统的输入值。 可以提供单元优化系统以根据经济数据确定多个部件优化系统的目标和约束。 在本发明的一个实施例中，提供多单元优化系统以确定不同发电单元的部件优化系统的目标和约束。 稳态和动态模型均用于优化。

公开(公告)号：US20100241249A1

公开(公告)日：2010-09-23

申请号：US12795758

申请日：2010-06-08

申请人： Jianhu Jia ,  Stephen Piche ,  W. Hardey Beaver

发明人： Jianhu Jia ,  Stephen Piche ,  W. Hardey Beaver

IPC分类号： G05B13/02 ,  F23D14/00

CPC分类号： G05B13/048

摘要： A method and apparatus for optimizing air flow to a boiler of a power generating unit using advanced optimization, modeling, and control techniques. Air flow is optimized to maintain flame stability, minimize air pollution emissions, and improve efficiency.

摘要翻译： 一种使用先进的优化，建模和控制技术优化到发电单元的锅炉的空气流量的方法和装置。 优化气流以保持火焰稳定性，最大​​限度减少空气污染排放，提高效率。

公开(公告)号：US07702519B2

公开(公告)日：2010-04-20

申请号：US11004839

申请日：2004-12-07

申请人： Scott A Boyden ,  Stephen Piche

发明人： Scott A Boyden ,  Stephen Piche

IPC分类号： G06Q10/00

CPC分类号： G06Q10/06 ,  B01D53/346 ,  B01D53/504 ,  G06Q30/0283 ,  G06Q40/00

摘要： 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.

摘要翻译： 为具有多个工艺参数（MPP）的过程提供了一个经济参数估计器，用于控制污染物排放到空气中。 该过程的表现与一个或多个经济因素（EF）有关。 估计器包括神经网络过程模型或非神经网络过程模型。 在任一情况下，该模型表示一个或多个MPP与经济参数之间的关系。 还包括配置有逻辑的处理器，例如 基于所述一个或多个MPP中的每个MPP的值，所述一个或多个EF中的至少一个的值和所述一个模型中的每一个的值来估计所述经济参数的货币价值。

公开(公告)号：US20060229743A1

公开(公告)日：2006-10-12

申请号：US11359295

申请日：2006-02-21

申请人： Eugene Boe ,  Stephen Piche ,  Gregory Martin

发明人： Eugene Boe ,  Stephen Piche ,  Gregory Martin

IPC分类号： G05B13/02

CPC分类号： G05B13/042 ,  G05B13/027 ,  G05B13/048

摘要： A method for providing independent static and dynamic models in a 000 prediction, control and optimization environment utilizes an independent static model (20) and an independent dynamic model (22). The static model (20) is a rigorous predictive model that is trained over a wide range of data, whereas the dynamic model (22) is trained over a narrow range of data. The gain K of the static model (20) is utilized to scale the gain k of the dynamic model (22). The forced dynamic portion of the model (22) referred to as the bi variables are scaled by the ratio of the gains K and k. The bi have a direct effect on the gain of a dynamic model (22). This is facilitated by a coefficient modification block (40). Thereafter, the difference between the new value input to the static model (20) and the prior steady-state value is utilized as an input to the dynamic model (22). The predicted dynamic output is then summed with the previous steady-state value to provide a predicted value Y. Additionally, the path that is traversed between steady-state value changes.

摘要翻译： 在000个预测，控制和优化环境中提供独立的静态和动态模型的方法使用独立的静态模型（20）和独立的动态模型（22）。 静态模型（20）是一种严格的预测模型，可在广泛的数据范围内进行训练，而动态模型（22）则是在窄范围的数据上进行训练。 使用静态模型（20）的增益K来缩放动态模型（22）的增益k。 被称为变量的模型（22）的强制动态部分通过增益K和k的比率来缩放。 b）对动态模型（22）的增益有直接的影响。 这通过系数修改块（40）来促进。 此后，将输入到静态模型（20）的新值与先前稳态值之间的差用作动态模型（22）的输入。 然后将预测的动态输出与先前的稳态值相加以提供预测值Y.此外，在稳态值变化之间经过的路径。

公开(公告)号：US20060047607A1

公开(公告)日：2006-03-02

申请号：US10927200

申请日：2004-08-27

申请人： Scott Boyden ,  Stephen Piche

发明人： Scott Boyden ,  Stephen Piche

IPC分类号： G06F17/00

CPC分类号： G05B11/32 ,  G05B13/048 ,  G06Q30/0283

摘要： A controller directs the operation of an air pollution control (APC) system performing a process, having one or more controllable operating parameters, to control emissions of a pollutant. An interface receives financial data associated with the operation of the APC system. A control processor determines a target set point of each of at least one of the one or more controllable operating parameters that will maximize profits or minimize losses from the operation of the APC system, based on the received financial data. The control processor also directs control of each of the at least one controllable operating parameter based on the determined target set point for that parameter.

摘要翻译： 控制器指导执行具有一个或多个可控操作参数的过程的空气污染控制（APC）系统的操作来控制污染物的排放。 接口接收与APC系统的操作相关的财务数据。 控制处理器基于接收到的财务数据来确定一个或多个可控操作参数中的至少一个的目标设定点，其将利用最大化利润或最小化来自APC系统的操作的损失。 控制处理器还基于该参数的确定的目标设定点来指导对至少一个可控操作参数中的每一个的控制。

公开(公告)号：US20060047526A1

公开(公告)日：2006-03-02

申请号：US10927049

申请日：2004-08-27

申请人： Scott Boyden ,  Stephen Piche

发明人： Scott Boyden ,  Stephen Piche

IPC分类号： G06Q99/00

CPC分类号： G06Q10/06 ,  B01D53/346 ,  B01D53/504 ,  G06Q30/0283 ,  G06Q40/00

摘要： 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.

公开(公告)号：US20060045802A1

公开(公告)日：2006-03-02

申请号：US11002436

申请日：2004-12-03

申请人： Scott Boyden ,  Stephen Piche

发明人： Scott Boyden ,  Stephen Piche

IPC分类号： G05D7/00

CPC分类号： G05B13/027 ,  B01D2257/302 ,  B01D2257/404 ,  G05B13/048 ,  Y10T436/12

摘要： A virtual analyzer is provided to estimate either an attribute of a reactant applied during performance of, or an amount of a reactant exhausted by, a process having multiple process parameters (MPPs) that is performed to control an amount of a pollutant emitted into the air. The virtual analyzer includes an interface which receives signals corresponding to attributes of the MPPs. If the process is a wet flue gas desulfurization (WFGD) process, the signals include a signal corresponding to a measured pH level of the applied reactant. If the process is a selective catalytic reduction (SCR) process, the signals include a signal corresponding to a measured amount of the reactant exhausted by the process. The analyzer also includes either a neural network process model or a non-neural network process model. Whichever type of model is utilize, if the process is a WFGD process, the model represents a relationship between the pH level of the applied reactant and the attributes of the MPPs other than the measure pH level of the applied reactant. On the other hand, if the process is the SCR process, the model represents a relationship between the amount of the reactant exhausted by the process and the attributes of the MPPs other than the measured amount of the reactant exhausted by the process. The analyzer also includes a processor. If the process is the WFGD process, the processor has the logic to estimate a pH level of the applied reactant based on the attributes of the MPPs, other than the measured pH level of the applied reactant, that correspond to the received signals and on the one model. On the other hand, if the process is the SCR process, the processor has the logic to estimate an amount of the reactant exhausted by the process based on the attributes of the MPPs, other than the measured amount of the reactant exhausted by the process, that correspond to the received signals and on the one model.

摘要翻译： 提供虚拟分析器以估计在执行过程中施加的反应物的属性，或由具有多个处理参数（MPP）的过程所排出的反应物的量的属性，所述过程参数（MPP）被执行以控制排放到空气中的污染物的量 。 虚拟分析器包括接收与MPP的属性对应的信号的接口。 如果该方法是湿式烟道气脱硫（WFGD）方法，信号包括对应于施加的反应物的测量的pH值的信号。 如果该方法是选择性催化还原（SCR）方法，信号包括对应于由该方法排出的反应物的测量量的信号。 分析仪还包括神经网络过程模型或非神经网络过程模型。 无论使用何种类型的模型，如果该过程是WFGD过程，则该模型表示所应用的反应物的pH水平与MPP的属性之间的关系，而不是所施加的反应物的测量pH水平。 另一方面，如果该过程是SCR过程，则该模型表示由该方法耗尽的反应物的量与MPP的属性之间的关系，而不是由该方法耗尽的反应物的测量量。 分析仪还包括处理器。 如果该过程是WFGD过程，则处理器具有基于MPP的属性来估计所施加的反应物的pH水平的逻辑，除了所应用的反应物的测量的pH水平，其对应于接收的信号，并且在 一个模型。 另一方面，如果该过程是SCR过程，则处理器具有逻辑来估计基于MPP的属性的由该过程所排出的反应物的量，除了由该过程所耗尽的反应物的测量量之外， 对应于接收到的信号和一个模型。

公开(公告)号：US06950711B2

公开(公告)日：2005-09-27

申请号：US10082783

申请日：2002-02-25

申请人： John P. Havener ,  Stephen Piche ,  Donald Semrad ,  Brian K. Stephenson

发明人： John P. Havener ,  Stephen Piche ,  Donald Semrad ,  Brian K. Stephenson

IPC分类号： G05B13/04 ,  G05B17/02 ,  G05B23/02 ,  G06F19/00

CPC分类号： G05B17/02 ,  G05B13/048

摘要： An on-line optimizer is provided wherein a boiler (720) is optimized by measuring a select plurality of inputs to the boiler (720) and mapping them through a predetermined relationship that defines a single value representing a spacial relationship in the boiler that is a function of the select inputs. This single value is then optimized with the use of a plant optimizer (818) which provides an optimized value. This optimized value is then processed thought the inverse relationship of the single modified value to provide modified inputs to the plant that can be applied to the plant.

摘要翻译： 提供一种在线优化器，其中锅炉（720）通过测量到锅炉（720）的选择多个输入而被优化，并通过预定关系映射锅炉（720），所述预定关系定义了代表锅炉中的空间关系的单一值 功能选择输入。 然后使用提供优化值的工厂优化器（818）来优化该单一值。 然后，将该优化值进行处理，认为单个修改值的反比关系为工厂提供可应用于工厂的修改输入。

公开(公告)号：US06493596B1

公开(公告)日：2002-12-10

申请号：US09514733

申请日：2000-02-28

申请人： Gregory D. Martin ,  Eugene Boe ,  Stephen Piche ,  James David Keller ,  Douglas Timmer ,  Mark Gerules ,  John P. Havener

发明人： Gregory D. Martin ,  Eugene Boe ,  Stephen Piche ,  James David Keller ,  Douglas Timmer ,  Mark Gerules ,  John P. Havener

IPC分类号： G05B1302

CPC分类号： G05B13/048 ,  G05B13/042 ,  G05B17/02

摘要： A method and apparatus for controlling a non-linear mill. A linear controller is provided having a linear gain k that is operable to receive inputs representing measured variables of the plant and predict on an output of the linear controller predicted control values for manipulatible variables that control the plant. A non-linear model of the plant is provided for storing a representation of the plant over a trained region of the operating input space and having a steady-state gain K associated therewith. The gain k of the linear model is adjusted with the gain K of the non-linear model in accordance with a predetermined relationship as the measured variables change the operating region of the input space at which the linear controller is predicting the values for the manipulatible variables. The predicted manipulatible variables are then output after the step of adjusting the gain k.

摘要翻译： 一种用于控制非线性磨机的方法和装置。 提供具有线性增益k的线性控制器，其可操作以接收表示工厂的测量变量的输入，并且对线性控制器的输出预测用于控制工厂的操纵性变量的预测控制值。 提供工厂的非线性模型，用于在工作输入空间的经过训练的区域上存储工厂的表示，并具有与其相关联的稳态增益K. 线性模型的增益k根据预定的关系用非线性模型的增益K进行调整，因为测量的变量改变了线性控制器预测操作变量的值的输入空间的操作区域 。 然后在调整增益k的步骤之后输出预测的操纵变量。