公开(公告)号：US5449889A

公开(公告)日：1995-09-12

申请号：US969593

申请日：1992-10-30

申请人： Nikola Samardzija

发明人： Nikola Samardzija

IPC分类号： A01M1/06 ,  A01M1/22 ,  B09C1/06 ,  H05B6/70 ,  H05B6/80 ,  H05B6/74

CPC分类号： A01M1/226 ,  A01M1/06 ,  B09C1/06 ,  H05B6/70 ,  H05B6/705 ,  H05B6/80 ,  A01M2200/011 ,  B09C2101/00

摘要： Microwave energy may be used to dielectrically heat a medium, which can remediate the medium. An apparatus or a system employing this concept is well-suited for various environmental applications, such as in-situ remediation of soil, sludge or spills. The system comprises a microwave energy source having a preselected microwave frequency for emitting microwave energy. The system also comprises a wave-guide section having a cross-section dimensioned in accordance with the wavelength of the microwave frequency for transmitting microwave energy. A broadband mode converter may be disposed in alignment with the wave-guide section. An applicator element is disposed in alignment with the broadband more converter for applying microwave energy directly to the medium without confining the medium, thereby removing contaminants from the medium.

摘要翻译： 可以使用微波能量来介质加热介质，这可以补救介质。 采用这一概念的装置或系统非常适用于各种环境应用，例如土壤，污泥或溢出物的原位修复。 该系统包括具有用于发射微波能量的预选微波频率的微波能量源。 该系统还包括具有根据用于传输微波能量的微波频率的波长尺寸的横截面的波导部分。 宽带模式转换器可以布置成与波导部分对准。 设置施加器元件与宽带更多转换器对准，用于将微波能量直接施加到介质上而不限制介质，从而从介质中去除污染物。

公开(公告)号：US08014880B2

公开(公告)日：2011-09-06

申请号：US11688759

申请日：2007-03-20

申请人： Nikola Samardzija ,  John Philip Miller

发明人： Nikola Samardzija ,  John Philip Miller

IPC分类号： G05B11/01 ,  G06F19/00 ,  G06F11/30 ,  G06F3/048 ,  G06F7/60

CPC分类号： G05B23/0245 ,  G05B23/021 ,  G05B23/024 ,  Y10S715/965

摘要： A method and system for monitoring a process in a process plant includes collecting data from a process control system within the process plant, where the data is representative of a normal operation of the process when the process is on-line and operating normally, performing a multivariate statistical analysis to represent the normal operation of the process based on a set of collected on-line process data comprising a measure of the normal operation of the process when the process is on-line and operating normally, and representing a real-time on-line operation of the process using monitored on-line process data as an input to the representation of the normal operation of the process, where the monitored on-line process data comprises a measure of a real-time operation to the process when the process is on-line.

摘要翻译： 用于监视过程工厂中的过程的方法和系统包括从过程工厂内的过程控制系统收集数据，其中数据表示当过程在线并且正常运行时进程的正常操作，执行 多变量统计分析，用于基于一组收集的在线过程数据来表示过程的正常操作，该集合在线过程数据包括当过程在线并且正常操作时过程的正常操作的度量，并且表示实时 该过程的线路操作使用监视的在线过程数据作为过程的正常操作的表示的输入，其中所监视的在线过程数据包括过程的实时操作的度量 在线

公开(公告)号：US07937164B2

公开(公告)日：2011-05-03

申请号：US11864529

申请日：2007-09-28

申请人： Nikola Samardzija ,  Ahmad A. Hamad

发明人： Nikola Samardzija ,  Ahmad A. Hamad

IPC分类号： G05B13/02 ,  G06F19/00 ,  G06F11/00 ,  G01N37/00 ,  G01D3/00

CPC分类号： G05B23/0245 ,  G05B23/021 ,  G05B23/024 ,  Y10S715/965

摘要： Methods and systems to detect abnormal operations in a process of a process plant include collecting on-line process data. The collected on-line process data is generated from a plurality of dependent and independent process variables of the process, such as a coker heater. A plurality of multivariate statistical models of the operation of the process are generated using corresponding sets of the process data. Each model is a measure of the operation of the process when the process is on-line at different times, and at least one model is a measure of the operation of the process when the process is on-line and operating normally. The models are executed to generate outputs corresponding to loading value metrics of a corresponding dependent process variable, and the loading value metrics are utilized to detect abnormal operations of the process.

摘要翻译： 在过程工厂的过程中检测异常操作的方法和系统包括收集在线过程数据。 收集的在线过程数据是从过程的多个依赖和独立的过程变量产生的，例如焦化加热器。 使用对应的过程数据集来生成多个过程的操作的多变量统计模型。 每个模型是过程在不同时间在线进行的过程操作的度量，当过程在线并且正常运行时，至少一个模型是对过程操作的度量。 执行模型以产生对应于相应的依赖过程变量的负载值度量的输出，并且使用负载值度量来检测过程的异常操作。

公开(公告)号：US07917240B2

公开(公告)日：2011-03-29

申请号：US11688772

申请日：2007-03-20

申请人： Nikola Samardzija

发明人： Nikola Samardzija

IPC分类号： G06F19/00

CPC分类号： G05B23/0245 ,  G05B23/021 ,  G05B23/024 ,  Y10S715/965

摘要： A method and system of monitoring multivariate process data in a process plant, where the multivariate process data comprises a plurality of process variables each having a plurality of observations, includes defining each process variable as a process variable vector comprising a set of observation components, where the set of observation components comprises time dependent process data corresponding to the observations of the process variable, calculation, a multivariable transformation as a function of a plurality of process variable vector transformation each corresponding to one of the process variables, where each process variable vector transformation is a function of a univariate variable unifying the process variables, and representing the operation of the process based on the multivariable transformation, where the representation of the operation of the process designates a multivariate projection of the process data by the univariate variable for each of the process variables.

摘要翻译： 一种在过程工厂中监视多变量过程数据的方法和系统，其中所述多变量过程数据包括多个具有多个观察值的过程变量，包括将每个过程变量定义为包括一组观测组件的过程变量向量，其中 观察组件组包括与过程变量的观察值相对应的时间相关过程数据，计算多变量变换作为多个过程变量向量变换的函数，每个过程变量向量变换各自对应于一个过程变量，其中每个过程变量向量变换 是单变量统计过程变量的函数，并且表示基于多变量变换的过程的操作，其中过程的操作的表示指定过程数据的多变量投影单个变量 过程变量 s。

公开(公告)号：US20080082299A1

公开(公告)日：2008-04-03

申请号：US11688737

申请日：2007-03-20

申请人： Nikola SAMARDZIJA ,  John P. Miller

发明人： Nikola SAMARDZIJA ,  John P. Miller

IPC分类号： G06F19/00 ,  G06F17/18 ,  G06F17/40

CPC分类号： G05B23/0245 ,  G05B23/021 ,  G05B23/024 ,  Y10S715/965

摘要： A system and method of monitoring and diagnosing on-line multivariate process variable data in a process plant, where the multivariate process data comprises a plurality of process variables each having a plurality of observations, includes collecting on-line process data from a process control system within the process plant when the process is on-line, where the collected on-line process data comprises a plurality of observations of a plurality of process variables and where the plurality of observations of the set of collected process data comprises a first data space having a plurality of dimensions, performing a multivariate statistical analysis to represent the operation of the process based on a set of collected on-line process data comprising a measure of the operation of the process when the process is on-line within a second data space having fewer dimensions than the first data space, performing a univariate analysis to represent the operation of the process as a multivariate projection of the on-line process data by a univariate variable for each of the process variables, where the univariate variable unifies the process variables, and generating a visualization comprising a first plot of a result generated by the multivariate statistical representation of the operation of the process and a second plot of a result generated by the univariate representation of the operation of the process.

摘要翻译： 一种在过程工厂中监测和诊断在线多变量过程变量数据的系统和方法，其中多变量过程数据包括多个具有多个观测值的过程变量，包括从过程控制系统收集在线过程数据 在过程在线的过程工厂内，收集的在线过程数据包括多个过程变量的多个观测值，并且其中所收集的过程数据集合的多个观测值包括具有第一数据空间的第一数据空间， 多个维度，执行多变量统计分析以基于一组收集的在线过程数据来表示所述过程的操作，所述一组收集的在线过程数据包括当所述过程在第二数据空间内在线时所述过程的操作的度量 比第一个数据空间更小的维度，执行单变量分析，以将过程的操作表示为多维度 通过单变量对每个过程变量的单变量投影在线过程数据，其中单变量统一过程变量，以及生成可视化，其包括通过多变量统计表示生成的结果的第一图 该过程和由过程操作的单变量表示产生的结果的第二个图。