公开(公告)号：US20120210257A1

公开(公告)日：2012-08-16

申请号：US13025335

申请日：2011-02-11

申请人： Matthew John Mosley ,  Christopher Eugene Long ,  Rohan Saraswat ,  Ratna Manedhar Punjala ,  Venkatesh Mani Selvaraj

发明人： Matthew John Mosley ,  Christopher Eugene Long ,  Rohan Saraswat ,  Ratna Manedhar Punjala ,  Venkatesh Mani Selvaraj

IPC分类号： G06F3/048 ,  G06F15/00

CPC分类号： F01K13/02 ,  F01K23/10 ,  Y02E20/16

摘要： Systems and methods for analyzing and displaying power plant data are able to access continuous live and/or historical operational data and identify within the data: (a) instances of at least one given type of power plant operation, (b) key events that may occur during an instance of the at least one given type of power plant operation, and (c) one or more time-based segments based on the key events and a physical segmentation of the power plant. Performance aspects for selected identified power plant operation instances can be quantified by comparing the identified instances with metrics that are predefined relative to the key events and segmentation within each type of power plant operation. Selected data associated with the identified instances are provided as electronic output to a user.

摘要翻译： 用于分析和显示发电厂数据的系统和方法能够访问连续的实时和/或历史操作数据并在数据内识别：（a）至少一个给定类型的电厂操作的情况，（b）可能 在所述至少一种给定类型的发电厂操作的情况下发生，以及（c）基于所述关键事件和所述发电厂的物理分割的一个或多个基于时间的段。 可以通过将识别的实例与相对于关键事件预定义的度量和每种类型的发电厂操作中的分段进行比较来量化所选确定的电厂操作实例的性能方面。 与所识别的实例相关联的选定数据被提供给用户的电子输出。