公开(公告)号：US20040254949A1

公开(公告)日：2004-12-16

申请号：US10461186

申请日：2003-06-13

Applicant: ABB Inc.

Inventor： Raja Amirthalingam

IPC: G06F017/00

CPC classification number: G05B23/0264 ,  G05B23/0267

Abstract: A frame work for storing, retrieving and displaying real-time data. The frame work includes software known as tools for data acquisition, that is, logging, file conversion and data analysis/display. Scalar and array type data are simultaneously handled during data logging and further processing. The data logging tool creates short term data in a binary file format and the file conversion software acquires long term data from the short-term data. Process condition based conversion and periodic conversion are also included in the architecture. Each of the three components of the frame work allows for user selection of parameters to maximize the benefit of the tools. The data display component offers automatic or user input based switching between the live data (online) and history data (offline) modes according to computational intensity.

Abstract translation: 用于存储，检索和显示实时数据的框架。 框架工作包括称为数据采集工具的软件，即日志记录，文件转换和数据分析/显示。 在数据记录和进一步处理期间，同时处理标量和数组类型数据。 数据记录工具以二进制文件格式创建短期数据，文件转换软件从短期数据中获取长期数据。 基于过程条件的转换和周期性转换也包含在架构中。 框架的三个组件中的每一个工作允许用户选择参数以最大化工具的益处。 数据显示组件根据计算强度提供在实时数据（在线）和历史数据（离线）模式之间进行自动或用户输入的切换。

公开(公告)号：US20040243270A1

公开(公告)日：2004-12-02

申请号：US10448600

申请日：2003-05-30

Applicant: ABB Inc.

Inventor： Raja Amirthalingam

IPC: G06F017/10 ,  G06F007/66 ,  G06F007/60

CPC classification number: D21G9/0036 ,  G05B13/048

Abstract: A method is described for using the partial least squares (PLS) technique for modeling, predicting and controlling curl and twist in a paper machine. The prediction variables to the model are selected quality control system measurements and paper machine variables. The selection is based on incremental error analysis of individual prediction variables and can be improved using score contribution analysis. The predicted variables to the model are the curl and twist measurements which are determined from the samples taken at the end of the reel. The PLS model is identified and used in an on-line framework and the model is continuously updated with new data as required. A control strategy to use the PLS model for controlling curl and twist is included. There is also described a method which uses as inputs to the model only the measurements from a fiber orientation sensor and the curl and twist measurements.

Abstract translation: 描述了使用偏最小二乘法（PLS）技术来建模，预测和控制造纸机中的卷曲和扭曲的方法。 选择质量控制系统测量和造纸机变量的模型预测变量。 选择是基于各个预测变量的增量误差分析，并可以使用分数贡献分析进行改进。 模型的预测变量是从卷轴末端采集的样品确定的卷曲和扭曲测量。 PLS模型在在线框架中被识别和使用，并且根据需要使用新的数据不断更新模型。 包括使用PLS模型控制卷曲和扭曲的控制策略。 还描述了一种方法，其仅将模型用作来自纤维取向传感器的测量值以及卷曲和扭曲测量值。