公开(公告)号：US07536364B2

公开(公告)日：2009-05-19

申请号：US11116920

申请日：2005-04-28

申请人： Rajesh V. Subbu ,  Piero P. Bonissone ,  Neil H. Eklund ,  Naresh S. Iyer ,  Rasiklal P. Shah ,  Weizhong Yan ,  Chad E. Knodle ,  James J. Schmid

发明人： Rajesh V. Subbu ,  Piero P. Bonissone ,  Neil H. Eklund ,  Naresh S. Iyer ,  Rasiklal P. Shah ,  Weizhong Yan ,  Chad E. Knodle ,  James J. Schmid

IPC分类号： G06N7/00 ,  G05B13/04

CPC分类号： G06K9/623 ,  G06N3/126

摘要： A method and system for performing model-based multi-objective asset optimization and decision-making is provided. The method includes building at least two predictive models for an asset. The building includes categorizing operational historical data via at least one of: controllable variables, uncontrollable variables, output objectives, and constraints. The building also includes selecting at least two output objectives or constraints, and identifying at least one controllable or uncontrollable variable suitable for achieving the at least two output objectives or constraints. The method also includes validating each predictive model and performing multi-objective optimization using the predictive models. The multi-objective optimization includes specifying search constraints and applying a multi-objective optimization algorithm. The method further includes generating a Pareto Frontier, and selecting a Pareto optimal input-output vector.

摘要翻译： 提供了一种执行基于模型的多目标资产优化和决策的方法和系统。 该方法包括为资产建立至少两个预测模型。 该建筑物包括通过以下至少一个来分类操作历史数据：可控变量，不可控变量，输出目标和约束。 该建筑还包括选择至少两个输出目标或约束，并且识别至少一个可控或不可控制的变量，其适于实现至少两个输出目标或约束。 该方法还包括使用预测模型验证每个预测模型并执行多目标优化。 多目标优化包括指定搜索约束和应用多目标优化算法。 该方法还包括产生帕累托前沿，以及选择帕累托最优输入 - 输出向量。