公开(公告)号：US5337952A

公开(公告)日：1994-08-16

申请号：US098230

申请日：1993-07-28

申请人： Kevin D. Thompson

发明人： Kevin D. Thompson

IPC分类号： F23N1/00 ,  F23N5/20 ,  G05D23/19 ,  F24D5/00

CPC分类号： F23N5/203 ,  F23N1/002 ,  G05D23/1917 ,  F23N2023/08 ,  F23N2023/48 ,  F23N2025/04 ,  F23N2033/08 ,  F23N2035/14 ,  F23N2037/10

摘要： In a heating system containing twinned furnaces capable of independently operating at multiple levels, a method for providing multiple heating modes to satisfy a required heating load during a given cycle, there being some total number of heating modes, wherein each heating mode may be activated for a time interval whose length is a function of furnace activity during the most recent previous cycle. The method comprises the steps of: determining the existence of a heating load to be satisfied; operating both furnaces independently at levels appropriate to a first heating mode for a first time interval that does not exceed a first predetermined limit; for each subsequent heating mode up to a number of one less than the total number of heating modes, operating both furnaces independently at levels appropriate to each subsequent heating mode for a subsequent time interval that does not exceed a subsequent predetermined limit; and operating both furnaces independently at levels appropriate to a final heating mode for a final time interval until the heating load is satisfied; calculating a thermal load requirement, as a function of all of the time intervals; and predetermining all of the predetermined time intervals for a next cycle, from the calculated thermal load requirement.

摘要翻译： 在包含能够在多个级别独立操作的双列炉的加热系统中，提供多个加热模式以在给定循环期间满足所需加热负荷的方法，存在加热模式的一些总数，其中每个加热模式可被激活以用于 其长度是最近一次循环期间炉活动的函数的时间间隔。 该方法包括以下步骤：确定要满足的加热负载的存在; 在不超过第一预定限度的第一时间间隔内，以适合于第一加热模式的水平独立地操作两个炉; 对于每个随后的加热模式，直到比加热模式的总数少一个数量的一个加热模式，在不超过随后的预定限度的后续时间间隔内独立地操作两个炉子，其水平适合于每个随后的加热模式; 并且在最终时间间隔内独立地处理适合于最终加热模式的水平，直到满足加热负载; 计算热负荷要求，作为所有时间间隔的函数; 并根据计算的热负荷要求预先确定下一个周期的所有预定时间间隔。

公开(公告)号：US5248083A

公开(公告)日：1993-09-28

申请号：US973794

申请日：1992-11-09

申请人： Wilmer L. Adams ,  Ralph H. Torborg

发明人： Wilmer L. Adams ,  Ralph H. Torborg

IPC分类号： F23N1/02 ,  F23N1/06 ,  F23N5/02 ,  F23N5/18 ,  F23N5/20 ,  G05D23/19

CPC分类号： G05D23/1913 ,  F23N1/062 ,  F23N1/02 ,  F23N2005/182 ,  F23N2023/08 ,  F23N2023/48 ,  F23N2025/04 ,  F23N2025/06 ,  F23N2025/08 ,  F23N2025/12 ,  F23N2027/22 ,  F23N2033/04 ,  F23N2033/10 ,  F23N2035/16 ,  F23N5/02 ,  F23N5/18 ,  F23N5/20

摘要： An adaptive furnace controller utilizing analog temperature sensing to maintain a constant preselected temperature in the heat exchanger during operation. The adaptive furnace control measuring heat exchanger temperature and regulating a controllable valve to adjust burner firing rate, thereby holding heat exchanger operating temperature constant. Further, creating constant on/off times based on the previous cycle on/off times of the furnace by regulating circulation blower speed. By increasing blower speeds to shorten "on" times or decreasing blower speeds to increase "on" times, and thereby achieving optimum cycle times.

摘要翻译： 一种采用模拟温度检测的自适应炉控制器，可在运行期间在热交换器中保持恒定的预选温度。 自适应炉控制测量热交换器温度并调节可控阀门以调节燃烧器燃烧速率，从而保持热交换器工作温度恒定。 此外，通过调节循环鼓风机速度，基于炉的先前循环开/关时间创建恒定的开/关时间。 通过提高鼓风机速度来缩短“打开”时间或降低鼓风机速度以增加“开”次，从而实现最佳循环时间。

公开(公告)号：US09500563B2

公开(公告)日：2016-11-22

申请号：US14097540

申请日：2013-12-05

申请人： General Electric Company

发明人： Romano Patrick ,  Matthew Francis Lemmon ,  Subrat Nanda ,  Jonathan David White ,  Achalesh Kumar Pandey

IPC分类号： F23M11/00 ,  G01M15/14 ,  F23R3/00 ,  F23N5/16 ,  F23N5/24

CPC分类号： G01M15/14 ,  F05D2260/80 ,  F23M11/00 ,  F23N5/16 ,  F23N5/242 ,  F23N2023/48 ,  F23N2023/54 ,  F23N2041/20 ,  F23R3/00 ,  F23R2900/00005 ,  Y02T50/677

摘要： A system for detecting an at-fault combustor includes a sensor that is configured to sense combustion dynamics pressure data from the combustor and a computing device that is in electronic communication with the sensor and configured to receive the combustion dynamics pressure data from the sensor. The computing device is programmed to convert the combustion dynamics pressure data into a frequency spectrum, segment the frequency spectrum into a plurality of frequency intervals, extract a feature from the frequency spectrum, generate feature values for the feature within a corresponding frequency interval over a period of time, and to store the feature values to generate a historical database. The computing device is further programmed to execute a machine learning algorithm using the historical database of the feature values to train the computing device to recognize feature behavior that is indicative of an at-fault combustor.

摘要翻译： 用于检测故障期间燃烧器的系统包括传感器，其被配置为感测来自燃烧器的燃烧动力学压力数据和与传感器电子通信并被配置为从传感器接收燃烧动力学压力数据的计算设备。 计算装置被编程为将燃烧动态压力数据转换成频谱，将频谱分段成多个频率间隔，从频谱中提取特征，在一段时间内在对应的频率间隔内生成特征的特征值 的时间，并存储特征值以生成历史数据库。 计算设备还被编程为使用特征值的历史数据库来执行机器学习算法，以训练计算设备以识别指示故障燃烧器的特征行为。

公开(公告)号：US09121607B2

公开(公告)日：2015-09-01

申请号：US13294175

申请日：2011-11-11

申请人： Donald E. Labbe ,  Alan Morrow ,  Andrew Speziale ,  Thomas Kinney

发明人： Donald E. Labbe ,  Alan Morrow ,  Andrew Speziale ,  Thomas Kinney

IPC分类号： F23N5/00

CPC分类号： F23N5/00 ,  F23N2023/04 ,  F23N2023/48 ,  F23N2037/02 ,  F23N2900/05001 ,  F23N2900/05003 ,  F23N2900/05006

摘要： A multivariable control system for controlling boiler burners. The system includes burner actuators, boiler sensors, a control system coupled to the actuators and the sensors and further includes a memory and a processor, and an application stored in the memory. When executed by the processor, the application executes a multivariable control algorithm to determine actuator manipulated variable values to control in part the burners based on data received from the sensors and based on a plurality of gain values. The application also executes an adaptation algorithm to change an actuator manipulated variable value, to maintain the changed manipulated variable value for a pre-determined period of time, to determine a change in data received from the sensors, to determine a gain value based on the changed manipulated variable value and the change in data received from the sensors, and to provide the determined gain value to the multivariable control algorithm.

摘要翻译： 一种用于控制锅炉燃烧器的多变量控制系统。 该系统包括燃烧器致动器，锅炉传感器，耦合到致动器和传感器的控制系统，并且还包括存储器和处理器以及存储在存储器中的应用。 当由处理器执行时，应用执行多变量控制算法以确定致动器操纵变量值，以部分地基于从传感器接收的数据并基于多个增益值来控制燃烧器。 应用还执行自适应算法以改变致动器操纵变量值，以维持改变的操纵变量值达预定时间段，以确定从传感器接收的数据的变化，以基于 改变操作变量值和从传感器接收的数据的变化，并将确定的增益值提供给多变量控制算法。

公开(公告)号：US08721325B2

公开(公告)日：2014-05-13

申请号：US12224021

申请日：2007-02-07

申请人： Ulrich Geiger ,  Martin Geiger ,  Rudolph Tungl

发明人： Ulrich Geiger ,  Martin Geiger ,  Rudolph Tungl

IPC分类号： F23N5/20 ,  F23N1/02 ,  A01G13/06 ,  F23N5/00 ,  F24H9/20

CPC分类号： F23N1/022 ,  F23N2023/48 ,  F23N2023/54 ,  F23N2025/16 ,  F23N2027/02 ,  F23N2027/20

摘要： A method for starting a combustion device, in particular after a first ignition failure, in particular for starting a gas burner under unknown basic conditions, wherein a characteristic diagram of a start air ratio depending on the burner temperature known from empirical analysis is stored for the combustion device in a memory, wherein a calibration of the starting process is performed, wherein the ratio of opening of the gas valve (w) to air volume mL necessary for ignition is iteratively determined by variation of the gas and/or air volume; and in case of ignition, the combustion device is started and the applicable air ratio (λ)IGNITION is stored.

摘要翻译： 一种用于起动燃烧装置的方法，特别是在第一次点火失效之后，特别是用于在未知的基本条件下启动气体燃烧器的方法，其中存储根据经验分析已知的燃烧器温度的起始空气比的特征图，用于 燃烧装置，其中执行起动过程的校准，其中通过气体和/或空气体积的变化迭代地确定燃气阀（w）的打开比与点火所需的空气体积mL的比率; 并且在点火的情况下，启动燃烧装置并存储适用的空气比（λ）点火。

公开(公告)号：US20130122433A1

公开(公告)日：2013-05-16

申请号：US13294175

申请日：2011-11-11

申请人： Donald E. Labbe ,  Alan Morrow ,  Andrew Speziale ,  Thomas Kinney

发明人： Donald E. Labbe ,  Alan Morrow ,  Andrew Speziale ,  Thomas Kinney

IPC分类号： F23N5/00 ,  F23N1/02

CPC分类号： F23N5/00 ,  F23N2023/04 ,  F23N2023/48 ,  F23N2037/02 ,  F23N2900/05001 ,  F23N2900/05003 ,  F23N2900/05006

摘要： A multivariable control system for controlling boiler burners. The system comprises burner actuators, boiler sensors, a control system coupled to the actuators and the sensors and comprising a memory and a processor, and an application stored in the memory. When executed by the processor, the application executes a multivariable control algorithm to determine actuator manipulated variable values to control in part the burners based on data received from the sensors and based on a plurality of gain values. The application also executes an adaptation algorithm to change an actuator manipulated variable value, to maintain the changed manipulated variable value for a pre-determined period of time, to determine a change in data received from the sensors, to determine a gain value based on the changed manipulated variable value and the change in data received from the sensors, and to provide the determined gain value to the multivariable control algorithm.

摘要翻译： 一种用于控制锅炉燃烧器的多变量控制系统。 该系统包括燃烧器致动器，锅炉传感器，耦合到致动器和传感器的控制系统，并且包括存储器和处理器以及存储在存储器中的应用。 当由处理器执行时，应用执行多变量控制算法以确定致动器操纵变量值，以部分地基于从传感器接收的数据并基于多个增益值来控制燃烧器。 应用还执行自适应算法以改变致动器操纵变量值，以维持改变的操纵变量值达预定时间段，以确定从传感器接收的数据的变化，以基于 改变操作变量值和从传感器接收的数据的变化，并将确定的增益值提供给多变量控制算法。

公开(公告)号：US20090099667A1

公开(公告)日：2009-04-16

申请号：US12279348

申请日：2006-12-27

申请人： Takaaki Sekiai ,  Satoru Shimizu ,  Akihiro Yamada

发明人： Takaaki Sekiai ,  Satoru Shimizu ,  Akihiro Yamada

IPC分类号： G05B13/04 ,  G06F1/28 ,  G06F15/18

CPC分类号： G05B13/048 ,  F01K13/02 ,  F22B35/007 ,  F23N5/00 ,  F23N2023/48 ,  G05B13/0265

摘要： In a controlling device that uses a model for simulating characteristics of a control target to learn a method of generating a model input that satisfies a target model output value and generates an operation signal according to a learning result, a target model output value for satisfying an operation target value is determined from measured signals from the control target.The controlling device comprising: a model for predicting the value of a measured signal obtained when an operation signal is given to the control target, a function for learning a method of generating a model input so that a model output satisfies the target value, a function for determining an operation signal to be given to the control target according to the learning result, a database for storing measured signal limit values set in advance, an external input interface for fetching measured signals from the control target, a measured signal database for storing the values of the fetched measured signals, and a function for determining an initial value of the target model output value by using limit values of the measured signals and at least one of an average, a maximum value, or a minimum value that are calculated from the measured signals stored in the measured signal database.

摘要翻译： 在使用用于模拟控制对象的特征的模型的控制装置中，来学习生成满足目标模型输出值的模型输入的方法，并根据学习结果生成操作信号的目标模型输出值， 从控制目标的测量信号确定操作目标值。 所述控制装置包括：模型，用于预测当向所述控制目标提供操作信号时获得的测量信号的值;学习生成模型输入的方法以使得模型输出满足所述目标值的功能;函数 用于根据学习结果确定要给予控制目标的操作信号，用于存储预先设定的测量信号限制值的数据库，用于从控制目标取出测量信号的外部输入接口，用于存储控制目标的测量信号数据库 所获取的测量信号的值，以及通过使用测量信号的极限值和从该测量信号计算的平均值，最大值或最小值中的至少一个来确定目标模型输出值的初始值的功能 测量信号存储在测量信号数据库中。

公开(公告)号：US20070271024A1

公开(公告)日：2007-11-22

申请号：US11657132

申请日：2007-01-24

申请人： Kentaro Fujii ,  Kozo Toyama

发明人： Kentaro Fujii ,  Kozo Toyama

IPC分类号： F02D28/00

CPC分类号： F02C9/28 ,  F05D2270/705 ,  F23N5/00 ,  F23N2023/48 ,  F23N2041/20 ,  G05B13/024

摘要： A gas turbine output learning circuit is configured to compute a current combustion gas temperature TIT at an inlet of a gas turbine by linear interpolation by use of two characteristic curves A and B respectively representing relations between a pressure ratio and an exhaust gas temperature in the cases of the combustion gas temperature at the inlet of the gas turbine at 1400° C. and 1500° C., then to compute ideal MW corresponding to this combustion gas temperature TIT at the inlet of the gas turbine by linear interpolation according to 1400° C.MW and 1500° C.MW (temperature controlled MW), and then to correct the 1400° C.MW and the 1500° C.MW so as to match the ideal MW with a measured gas turbine output (a power generator output).

摘要翻译： 燃气轮机输出学习电路被配置为通过使用分别表示压力比和废气温度之间的关系的两个特性曲线A和B通过线性插值来计算燃气涡轮机入口处的当前燃烧气体温度TIT 在燃气轮机入口处的燃烧气体温度在1400℃和1500℃下，然后根据1400℃通过线性插值来计算对应于燃气轮机入口处的燃烧气体温度TIT的理想MW .MW和1500°CMW（温度控制MW），然后校正1400°CMW和1500°CMW，以使理想MW与测得的燃气轮机输出（发电机输出）匹配， 。

公开(公告)号：US06507774B1

公开(公告)日：2003-01-14

申请号：US09379401

申请日：1999-08-24

申请人： Jaques Reifman ,  Earl E. Feldman ,  Thomas Y. C. Wei ,  Roger W. Glickert

发明人： Jaques Reifman ,  Earl E. Feldman ,  Thomas Y. C. Wei ,  Roger W. Glickert

IPC分类号： G01N3100

CPC分类号： F23N5/003 ,  F23N2023/08 ,  F23N2023/48

摘要： The control of emissions from fossil-fired boilers wherein an injection of substances above the primary combustion zone employs multi-layer feedforward artificial neural networks for modeling static nonlinear relationships between the distribution of injected substances into the upper region of the furnace and the emissions exiting the furnace. Multivariable nonlinear constrained optimization algorithms use the mathematical expressions from the artificial neural networks to provide the optimal substance distribution that minimizes emission levels for a given total substance injection rate. Based upon the optimal operating conditions from the optimization algorithms, the incremental substance cost per unit of emissions reduction, and the open-market price per unit of emissions reduction, the intelligent emissions controller allows for the determination of whether it is more cost-effective to achieve additional increments in emission reduction through the injection of additional substance or through the purchase of emission credits on the open market. This is of particular interest to fossil-fired electrical power plant operators. The intelligent emission controller is particularly adapted for determining the economical control of such pollutants as oxides of nitrogen (NOx) and carbon monoxide (CO) emitted by fossil-fired boilers by the selective introduction of multiple inputs of substances (such as natural gas, ammonia, oil, water-oil emulsion, coal-water slurry and/or urea, and combinations of these substances) above the primary combustion zone of fossil-fired boilers.

摘要翻译： 控制来自化石燃烧锅炉的排放物，其中在主燃烧区域之上的物质的注入采用多层前馈人工神经网络，用于建模进入炉上部区域的注入物质分布和离开炉内的排放物之间的静态非线性关系 炉。 多变量非线性约束优化算法使用来自人造神经网络的数学表达式提供最小化给定总物质注入速率的排放水平的最佳物质分布。 基于优化算法的最佳运行条件，每单位减排量的增量物质成本和每单位减排量的开放市场价格，智能排放控制器允许确定是否更具成本效益 通过注入附加物质或通过在公开市场上购买排放量来实现减排的额外增量。 这是化石燃煤电厂运营商特别感兴趣的。 智能排放控制器特别适用于通过选择性引入多种物质输入（如天然气，氨气）来确定化石燃烧锅炉排放的氮氧化物（NOx）和一氧化碳（CO）等污染物的经济性 ，油，水 - 油乳液，煤水浆和/或尿素，以及这些物质的组合）在化石燃烧锅炉的主燃烧区上方。

公开(公告)号：US06261086B1

公开(公告)日：2001-07-17

申请号：US09565484

申请日：2000-05-05

申请人： Zhizhen Fu

发明人： Zhizhen Fu

IPC分类号： F23N508

CPC分类号： F23N5/082 ,  F23N2023/08 ,  F23N2023/10 ,  F23N2023/48

摘要： A method, and a system for implementing the method, for detecting whether a flame is an on state or alternatively is in an off state. The method includes (i) detecting the flame and generating therefrom a flame signal capturing one or more attributes of the flame; (ii) using a high-order cumulant-to-moment formula to determine high-order cumulants for a random variable process representation of the flame signal; and (iii) determining whether the flame is on or off using the high-order cumulants. The method includes the step of applying the high-order cumulant-to-moment formula in a self-learning algorithm to determine flame-on high-order cumulants and flame-off high-order cumulants for the flame. Step (iii) includes comparing the high-order cumulants to the flame-on high-order cumulants and the flame-off high-order cumulants to determine whether the status of the flame is on or off.

摘要翻译： 一种用于实现该方法的方法和系统，用于检测火焰是开启状态还是替代地处于关闭状态。 该方法包括（i）检测火焰并由此产生捕获火焰的一个或多个属性的火焰信号; （ii）使用高阶累积量矩公式来确定火焰信号的随机可变过程表示的高阶累积量; 和（iii）使用高阶累积量确定火焰是开启还是关闭。 该方法包括在自学习算法中应用高阶累积量矩公式以确定火焰高阶累积量和熄火高阶累积量的步骤。 步骤（iii）包括比较高阶累积量与火焰高阶累积量和熄火高阶累积量，以确定火焰的状态是开启还是关闭。