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1. 发明授权

US06934931B2 System and method for enterprise modeling, optimization and control 有权
标题翻译：企业建模，优化与控制的系统与方法
公开(公告)号：US06934931B2
公开(公告)日：2005-08-23
申请号：US09827838
申请日：2001-04-05
申请人： Edward Stanley Plumer , Bijan Sayyar-Rodsari , Carl Anthony Schweiger , Ralph Bruce Ferguson, II , William Douglas Johnson , Celso Axelrud
发明人： Edward Stanley Plumer , Bijan Sayyar-Rodsari , Carl Anthony Schweiger , Ralph Bruce Ferguson, II , William Douglas Johnson , Celso Axelrud
IPC分类号： G05B13/02 , G06F9/44 , G06F9/45 , G06Q10/00
CPC分类号： G06Q10/04 , G06Q10/00 , G06Q10/06
摘要： A system and method for performing modeling, prediction, optimization, and control, including an enterprise wide framework for constructing modeling, optimization, and control solutions. The framework includes a plurality of base classes that may be used to create primitive software objects. These objects may then be combined to create optimization and/or control solutions. The distributed event-driven component architecture allows much greater flexibility and power in creating, deploying, and modifying modeling, optimization and control solutions. The system also includes various techniques for performing improved modeling, optimization, and control, as well as improved scheduling and control. For example, the system may include a combination of batch and continuous processing frameworks, and a unified hybrid modeling framework which allows encapsulation and composition of different model types, such as first principles models and empirical models. The system further includes an integrated process scheduling solution referred to as process coordinator that seamlessly incorporates the capabilities of advanced control and execution into a real time event triggered optimal scheduling solution.
摘要翻译：一种用于执行建模，预测，优化和控制的系统和方法，包括用于构建建模，优化和控制解决方案的企业范围框架。框架包括可用于创建原始软件对象的多个基类。然后可以将这些对象组合以创建优化和/或控制解决方案。分布式事件驱动组件架构在创建，部署和修改建模，优化和控制解决方案方面提供了更大的灵活性和强大功能。该系统还包括用于执行改进的建模，优化和控制以及改进调度和控制的各种技术。例如，系统可以包括批处理和连续处理框架的组合，以及允许封装和组合不同模型类型的统一的混合建模框架，诸如第一原理模型和经验模型。该系统还包括被称为过程协调器的集成过程调度解决方案，其将高级控制和执行的能力无缝地结合到实时事件触发的最优调度解决方案中。

2. 发明授权

US5682317A Virtual emissions monitor for automobile and associated control system 失效
标题翻译：汽车和相关控制系统的虚拟排放监测
公开(公告)号：US5682317A
公开(公告)日：1997-10-28
申请号：US685072
申请日：1996-07-23
申请人： James David Keeler , John Paul Havener , Devendra Godbole , Ralph Bruce Ferguson, II
发明人： James David Keeler , John Paul Havener , Devendra Godbole , Ralph Bruce Ferguson, II
IPC分类号： B01D53/34 , F01N3/08 , F02D41/14 , F02D45/00 , G01D21/00 , G01M15/04 , G01N33/00 , G05B13/02 , G05B13/04 , G05B23/02 , G05D21/00 , F02D35/00
CPC分类号： G05B13/048 , F02D41/1401 , G01N33/0075 , G05B13/027 , G05B17/02 , G05B23/0254 , G05B23/027 , F02D2041/1433 , G01N33/0034
摘要： An internal combustion engine (360) is provided with a plurality of sensors to monitor the operation thereof with respect to various temperature measurements, pressure measurements, etc. A predictive model processor (322) is provided that utilizes model parameters stored in the memory (324) to predict from the sensor inputs a predicted emissions output. The model is trained with inputs provided by the sensor and an actual emissions sensor output. During operation, this predicted output on line (326) can be utilized to provide an alarm or to be stored in a history database in a memory (328). Additionally, the internal combustion engine (260) can have the predicted emissions output thereof periodically checked to determine the accuracy of the model. This is effected by connecting the output of the engine to an external emissions sensor (310) and taking the difference between the actual output and the predicted output to provide an error. This is compared to a threshold and, if the error exceeds the threshold, the predictive model processor (322) can be placed in a training operation wherein new model parameters are generated. Additionally, retraining could take place external to the predictive model processor (322). During runtime, a control network (350) can be utilized to predict control parameters for minimizing the emissions output.
摘要翻译：内燃机（360）设有多个传感器，用于监测其相对于各种温度测量，压力测量等的操作。提供了一种使用存储在存储器（324）中的模型参数的预测模型处理器（322））从传感器输入预测预测的排放量。该模型使用传感器提供的输入和实际的排放传感器输出进行训练。在操作期间，线路（326）上的预测输出可用于提供警报或存储在存储器（328）中的历史数据库中。此外，内燃机（260）可以周期性地检查其预测排放物的输出，以确定模型的精度。这通过将发动机的输出连接到外部发射传感器（310）并获取实际输出和预测输出之间的差以提供误差来实现。将其与阈值进行比较，并且如果误差超过阈值，则可以将预测模型处理器（322）置于其中生成新模型参数的训练操作中。此外，重新训练可以在预测模型处理器（322）的外部进行。在运行期间，控制网络（350）可用于预测控制参数以最小化排放物输出。

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