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Industrial process multiresolution softsensoring instrument and method thereof

An industrial process and multi-resolution technology, which is applied in the direction of instruments, program control, and comprehensive factory control, etc., can solve problems such as not considering the multi-resolution characteristics of data, and not being able to obtain good soft measurement results

Inactive Publication Date: 2007-08-15
ZHEJIANG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In order to overcome the shortcomings of existing industrial process soft sensor systems that do not consider the multi-resolution characteristics of data and cannot obtain good soft sensor effects, the present invention provides a method that simultaneously considers complex collinearity and nonlinear characteristics, multi-resolution characteristics, Industrial process multi-resolution soft-sensing system and method capable of obtaining good soft-sensing effect

Method used

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  • Industrial process multiresolution softsensoring instrument and method thereof
  • Industrial process multiresolution softsensoring instrument and method thereof
  • Industrial process multiresolution softsensoring instrument and method thereof

Examples

Experimental program
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Effect test

Embodiment 1

[0108] Referring to Fig. 1 and Fig. 2, an industrial process multi-resolution soft measuring instrument includes an on-site intelligent instrument 2 connected to an industrial process object 1, a data storage device 5 for storing historical data and a host computer 6, the intelligent instrument 1, Data storage device 5 and host computer 6 are connected successively, and described host computer 6 comprises:

[0109] The standardization processing module 7 is used to standardize the data collected in the database when the system is normal. The mean value of each variable is 0 and the variance is 1 to obtain the input matrix X. The following process is used to complete:

[0110] 1) Calculate the mean: TX ‾ = 1 N Σ i = 1 N TX i , - - - ...

Embodiment 2

[0208] Referring to Fig. 1 and Fig. 2, a soft sensing method realized by a multi-resolution soft sensing instrument in an industrial process, the soft sensing method includes the following steps:

[0209] (1), determine the used key variable of soft sensor, collect the data of described variable when system is normal from history database as training sample TX;

[0210] (2), the number of latent variables extracted by the partial least squares module, the number of decomposition layers of the multi-resolution decomposition module, the kernel parameter parameters of the radial basis function neural network modeling module are set, and the sampling period is set;

[0211] (3) In the soft sensor intelligent processor, the training sample TX standardizes the data so that the mean value of each variable is 0 and the variance is 1, and the input matrix X is obtained. The following process is used to complete, and the formula is (1) , (2), (3):

[0212] 3.1) Calculate the mean: ...

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Abstract

This invention relates to one industry process multi-resolution flexible measurement meter, which comprises spot intelligent meter connected with industry subjects, data memory device and upper machine to store historical data, wherein, the intelligent meter, memory device and upper machine are orderly connected; the upper machine is of flexible intelligent controller; the said flexible measurement controller comprises standard process module, bias OLS module, multi-resolution analysis module, radium function neutral network establish module, multi-resolution recreation module, signal collection module and flexible test module. This invention provides one flexible measure method.

Description

(1) Technical field [0001] The invention relates to the field of industrial process soft measurement, in particular to an industrial process multi-resolution soft measurement instrument and method. (2) Background technology [0002] In the modern process industry, a large number of key parameters such as process status and product quality lack online direct measurement methods. This has become a bottleneck restricting the further improvement of production safety, product quality, output and production efficiency. Soft sensor technology is an effective way to formally solve such problems. [0003] Using industrial measured data, statistical methods are used to establish soft sensor models of industrial processes, which avoids complex mechanism analysis. The model has a high degree of fit to observed data and is relatively convenient to solve. It is a hot spot in soft sensor modeling. Commonly used statistical modeling methods include system identification, regression analys...

Claims

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Application Information

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IPC IPC(8): G05B19/048G05B19/418G05B13/02G06F17/00
CPCY02P90/02
Inventor 刘兴高
Owner ZHEJIANG UNIV
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