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Process parameter estimation in controlling emission of a non-particulate pollutant into the air
Process parameter estimation in controlling emission of a non-particulate pollutant into the air
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机译:控制非颗粒污染物向大气排放的过程参数估计
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摘要
A parameter value estimator is provided for a process performed primarily to control emission of a particular non-particulate pollutant, such as NOx and SO2, into the air. The process has multiple process parameters (MPPs) including a parameter representing an amount of the particular non-particulate pollutant emitted. The parameter value 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 of the MPPs, other than the parameter representing the amount of the emitted particular non-particulate pollutant, and one or more other of the MPPs. Also included is a processor configured with the logic, e.g. programmed software, to estimate a value of the one MPP based on a value of each of the one or more other MPPs and the one model.
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机译:提供了一个参数值估算器,该参数估算器主要用于控制特定的非颗粒污染物(例如NO x Sub>和SO 2 Sub>)向空气中的排放。该过程具有多个过程参数(MPP),其中包括代表所排放的特定非颗粒污染物数量的参数。参数值估计器包括神经网络过程模型或非神经网络过程模型。在任何一种情况下,模型均代表一个MPP,而不是代表排放的特定非颗粒污染物数量的参数与一个或多个其他MPP之间的关系。还包括配置有逻辑的处理器,例如编程软件,以基于一个或多个其他MPP和一个模型中每个的值来估计一个MPP的值。
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