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1. 发明申请

WO2004109185A3 METHOD AND SYSTEM FOR SOOTBLOWING OPTIMIZATION 审中-公开
标题翻译：用于优化的方法和系统
公开(公告)号：WO2004109185A3
公开(公告)日：2005-06-30
申请号：PCT/US2004017687
申请日：2004-06-04
申请人： NEUCO INC , LEFEBVRE CURT W , KOHN DANIEL W
发明人： LEFEBVRE CURT W , KOHN DANIEL W
IPC分类号： F22B37/56 , F23J3/02 , F28G1/16 , F22B37/18 , F22B37/48
CPC分类号： F23J3/023 , F22B37/56 , F28G1/16 , F28G15/003 , Y10T436/12
摘要： A controller determines and adjusts system parameters, including cleanliness levels or sootblower operating settings, that are useful for maintaining the cleanliness of a fossil fuel boiler at an efficient level. Some embodiments use a direct controller to determine cleanliness levels and/or sootblower operating settings. Some embodiments use an indirect controller, with a system model, to determine cleanliness levels and/or sootblower settings. The controller may use a model that is, for example, a neural network, or a mass energy balance, or a genetically programmed model. The controller uses input about the actual performance or state of the boiler for adaptation. The controller may operate in conjunction with a sootblower optimization system that controls the actual settings of the sootblowers. The controller may coordinate cleanliness settings for multiple sootblowers and/or across a plurality of heat zones in the boiler.
摘要翻译：控制器确定和调整系统参数，包括清洁度水平或吹灰器操作设置，这些参数有助于将化石燃料锅炉的清洁度保持在有效的水平。一些实施例使用直接控制器来确定清洁度水平和/或吹灰器操作设置。一些实施例使用具有系统模型的间接控制器来确定清洁度水平和/或吹灰器设置。控制器可以使用例如神经网络或大量能量平衡或基因编程模型的模型。控制器使用关于锅炉实际性能或状态的输入进行调整。控制器可以与控制吹灰器的实际设置的吹灰器优化系统一起操作。控制器可以协调多个吹灰器和/或跨锅炉中的多个加热区域的清洁度设置。

2. 发明申请

WO2004109468A3 METHOD FOR IMPLEMENTING INDIRECT CONTROLLER 审中-公开
标题翻译：实施间接控制器的方法
公开(公告)号：WO2004109468A3
公开(公告)日：2005-06-30
申请号：PCT/US2004017688
申请日：2004-06-04
申请人： NEUCO INC , LEFEBVRE CURT W , KOHN DANIEL W
发明人： LEFEBVRE CURT W , KOHN DANIEL W
IPC分类号： G05B7/02 , G05B17/02 , G05B13/02 , G05B11/01 , G05B13/00 , G06E1/00 , G06E3/00 , G06F7/00 , G06F9/44 , G06F15/18 , G06F19/00 , G06G7/00 , G06N3/02 , G06N7/02 , G06N7/06
CPC分类号： G05B7/02 , G05B17/02 , Y10S706/903 , Y10S706/906 , Y10S706/914
摘要： A system and method for implementing an indirect controller (120) for a plant (110). A plant (110) can be provided with both a direct controller and an indirect controller (120) with a system model or a committee of system models. When the system model has sufficient integrity to satisfy the plant requirements, i.e., when the system model has been sufficiently trained, the indirect controller with the system model is automatically enabled to replace the direct controller. When the performance falls, the direct controller can automatically assume operation of the plant (110), preferably maintaining operation in a control region suitable for generating additional training data for the system model. Alternatively, the system model incorporates a committee of models. Various types of sources for errors in the committee of models can be detected and used to implement strategies to improve the quality of the committee.
摘要翻译：一种用于实现植物（110）的间接控制器（120）的系统和方法。工厂（110）可以具有直接控制器和间接控制器（120）与系统模型或系统模型委员会。当系统模型具有足够的完整性以满足工厂要求时，即当系统模型已被充分训练时，具有系统模型的间接控制器被自动地使能以代替直接控制器。当性能下降时，直接控制器可以自动地承担设备（110）的操作，优选地在适于为系统模型产生附加训练数据的控制区域中保持操作。或者，系统模型包含模型委员会。可以检测出各种类型的模型委员会错误来源，并用于实施提高委员会质量的战略。

3. 发明申请

WO2004109468A2 METHOD FOR IMPLEMENTING INDIRECT CONTROLLER 审中-公开
标题翻译：实施间接控制器的方法
公开(公告)号：WO2004109468A2
公开(公告)日：2004-12-16
申请号：PCT/US2004/017688
申请日：2004-06-04
申请人： NEUCO, INC. , LEFEBVRE, Curt, W. , KOHN, Daniel, W.
发明人： LEFEBVRE, Curt, W. , KOHN, Daniel, W.
IPC分类号： G06F
CPC分类号： G05B7/02 , G05B17/02 , Y10S706/903 , Y10S706/906 , Y10S706/914
摘要： A system and method for implementing an indirect controller for a plant. A plant can be provided with both a direct controller and an indirect controller with a system model or a committee of system models. When the system model has sufficient integrity to satisfy the plant requirements, i.e., when the system model has been sufficiently trained, the indirect controller with the system model is automatically enabled to replace the direct controller. When the performance falls, the direct controller can automatically assume operation of the plant, preferably maintaining operation in a control region suitable for generating additional training data for the system model. Alternatively, the system model incorporates a committee of models. Various types of sources for errors in the committee of models can be detected and used to implement strategies to improve the quality of the committee.
摘要翻译：一种用于实现工厂的间接控制器的系统和方法。一个工厂可以提供一个直接控制器和间接控制器与系统模型或系统模型委员会。当系统模型具有足够的完整性以满足工厂要求时，即当系统模型已被充分训练时，具有系统模型的间接控制器被自动地用于替换直接控制器。当性能下降时，直接控制器可以自动地承担设备的操作，优选地在适于产生用于系统模型的附加训练数据的控制区域中保持操作。或者，系统模型包含模型委员会。可以检测出各种类型的模型委员会错误来源，并用于实施提高委员会质量的战略。

4. 发明申请

WO2004109185A2 METHOD AND SYSTEM FOR SOOTBLOWING OPTIMIZATION 审中-公开
标题翻译：用于优化的方法和系统
公开(公告)号：WO2004109185A2
公开(公告)日：2004-12-16
申请号：PCT/US2004/017687
申请日：2004-06-04
申请人： NEUCO, INC. , LEFEBVRE, Curt, W. , KOHN, Daniel, W.
发明人： LEFEBVRE, Curt, W. , KOHN, Daniel, W.
IPC分类号： F23J
CPC分类号： F23J3/023 , F22B37/56 , F28G1/16 , F28G15/003 , Y10T436/12
摘要： A controller determines and adjusts system parameters, including cleanliness levels or sootblower operating settings, that are useful for maintaining the cleanliness of a fossil fuel boiler at an efficient level. Some embodiments use a direct controller to determine cleanliness levels and/or sootblower operating settings. Some embodiments use an indirect controller, with a system model, to determine cleanliness levels and/or sootblower settings. The controller may use a model that is, for example, a neural network, or a mass energy balance, or a genetically programmed model. The controller uses input about the actual performance or state of the boiler for adaptation. The controller may operate in conjunction with a sootblower optimization system that controls the actual settings of the sootblowers. The controller may coordinate cleanliness settings for multiple sootblowers and/or across a plurality of heat zones in the boiler.
摘要翻译：控制器确定和调整系统参数，包括清洁度水平或吹灰器操作设置，这些参数有助于将化石燃料锅炉的清洁度保持在有效的水平。一些实施例使用直接控制器来确定清洁度水平和/或吹灰器操作设置。一些实施例使用具有系统模型的间接控制器来确定清洁度水平和/或吹灰器设置。控制器可以使用例如神经网络或大量能量平衡或基因编程模型的模型。控制器使用关于锅炉实际性能或状态的输入进行调整。控制器可以与控制吹灰器的实际设置的吹灰器优化系统一起操作。控制器可以协调多个吹灰器和/或跨锅炉中的多个加热区域的清洁度设置。

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