CN102564362A - Online soft measuring method and device of paper smoothness - Google Patents
Online soft measuring method and device of paper smoothness Download PDFInfo
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- CN102564362A CN102564362A CN2011104569893A CN201110456989A CN102564362A CN 102564362 A CN102564362 A CN 102564362A CN 2011104569893 A CN2011104569893 A CN 2011104569893A CN 201110456989 A CN201110456989 A CN 201110456989A CN 102564362 A CN102564362 A CN 102564362A
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Abstract
The invention provides an online soft measuring method and device of paper smoothness. The online soft measuring method comprises the following steps of: firstly, measuring a quantitative size of paper; then calculating a variance of a quantitative value according to the quantitative value of the paper; and finally, carrying out model fitting on a corresponding relation between the variance of the quantitative value of the paper and the paper smoothness by using a radial neural network, so as to obtain the paper smoothness. According to the method and device disclosed by the invention, the size of the paper smoothness is obtained according to the quantitative variance of the paper. By utilizing the method, the requirement of measuring the paper smoothness can be met, and the method has guiding significance to a production process.
Description
Technical field
The invention belongs to pulp technology for making paper, particularly a kind of paper smoothness online soft sensor method and device.
Background technology
Smoothness is to estimate an index of paper surface convex-concave degree, and it is the opposite concept of roughness.Smoothness of paper and printing-ink homogeneous on paper shifts closely related.Therefore, the smoothness of printing is measured very necessity.
Current paper smoothness measuring method comprises Buick method, Bendt Bendtsen and PPS roughness method, and in addition, French scholar Aguilar has proposed to utilize the frictional noise of paper surface to measure the method for paper smoothness indirectly.These methods have higher measuring accuracy, but all can't on paper production line, realize on-line measurement, thereby production run is had no guidance.
Summary of the invention
Technical matters to be solved by this invention provides a kind of paper smoothness online soft sensor method and device, realizes the requirement of the online detection smoothness of paper.
For realizing above-mentioned purpose; The present invention also provides a kind of paper smoothness online soft sensor method; At first measure the quantum sized of paper; Calculate the variance of this quantitative values then according to the quantitative values of paper, utilize variance and the corresponding relation between the paper smoothness of the quantitative values of radial neural network model fitting paper at last, thereby obtain smoothness of paper.
As the preferred embodiments of the present invention, the quantitative values Q of said paper is: Q=Q
0+ n, wherein, Q
0Be the mean value of Substance value, n is the random element or the error of Substance value;
As the preferred embodiments of the present invention; The variance of said quantitative values is calculated according to formula
and is got; Wherein,
is the variance of quantitative values; E is the statistical average function, and n is the random element or the error of Substance value;
As the preferred embodiments of the present invention; The variance and the corresponding relation between the paper smoothness of said Substance value are:
wherein; S is a smoothness of paper, and
is the variance of Substance value;
As the preferred embodiments of the present invention, the variance of said Substance value and the relation of paper smoothness get through radial base neural net.
The device of the online soft detection of a kind of paper smoothness; It is characterized in that: comprise the radioactive source that is positioned at measured paper sheet underneath, the ionization chamber that is positioned at measured paper top; Be provided with the probe of measuring at paper surface in the said ionization chamber; The other end of this probe is connected the input end of pre-amplification circuit, and the output terminal of this pre-amplification circuit is connected the input end of CPU.
Paper smoothness online soft sensor method of the present invention has the following advantages at least: patent applicant of the present invention is through discover in a large number; There is certain relation between paper smoothness and the Substance variance, therefore, through detecting the quantitative variance of paper; Thereby calculate smoothness of paper; Realize the requirement of the online detection of paper smoothness, thereby, production run is had directive significance.
Description of drawings
Fig. 1 is the structural representation that Substance appearance of the present invention is measured the Substance size;
Fig. 2 is the synoptic diagram of RBF neural network of the present invention.
Embodiment
Below in conjunction with accompanying drawing paper smoothness online soft sensor method of the present invention is elaborated:
1) principle of work of paper smoothness flexible measurement method
What paper smoothness and Substance distributed after deliberation gets in touch, and finds that paper smoothness can (like the variance of Substance noise) obtain reflection in the regularity of distribution of Substance value random element.Be found to be the basis with this, the invention provides a kind of method of on-line measurement paper smoothness.This method uses quantitative instrument to measure Substance; And the variance of calculating paper quantitative values; Utilize the corresponding relation between radial base neural net (RBFNN) match paper smoothness and the Substance value variance, with Substance value variance input RBFNN, RBFNN will output paper smoothness measured value.
2) course of work of paper smoothness flexible measurement method
Soft measuring process is divided into three steps: (1) is measured Substance and is calculated paper quantitative values variance; (2) match of relation between paper smoothness and Substance distribute; (3) calculating of the paper smoothness of soft measurement paper.
(1) see Fig. 1, the measurement of Substance is accomplished by the Substance appearance.Quantitative instrument point by point scanning paper diverse location obtains the each point quantitative values.Substance value Q is comprising Substance mean value Q
0With random element n two parts, promptly
Q＝Q
0+n (1)
The factor that contains paper smoothness among the random element n is calculated dispersion degree, i.e. variance
Wherein, E is the statistical average function:
(2) there is certain corresponding relation between variance of quantitative values
and paper smoothness S, is expressed as
This relation exists non-linear, therefore uses outer match
relation of RBF neural network.Neural network structure is seen Fig. 2, the corresponding paper smoothness of the variance of each quantitative values, and RBF neural network of the present invention is for being the RBF neural network of excitation function with the Gaussian function.
(3) the Substance appearance is measured Substance Q in real time.Use formula (1) (2) (3) just can calculate current smoothness of paper S.
The device that the present invention carries out the online soft detection of paper smoothness comprises the radioactive source 1 that is positioned at measured paper sheet underneath, the ionization chamber 3 that is positioned at measured paper top; Be provided with the probe of measuring at paper surface 5 in the said ionization chamber; The other end of this probe is connected the input end of pre-amplification circuit, and the output terminal of this pre-amplification circuit is connected the input end of CPU.
The above is merely one embodiment of the present invention; It or not whole or unique embodiment; The conversion of any equivalence that those of ordinary skills take technical scheme of the present invention through reading instructions of the present invention is claim of the present invention and contains.
Claims (6)
1. paper smoothness online soft sensor method; It is characterized in that: the quantum sized of at first measuring paper; Calculate the variance of this quantitative values then according to the quantitative values of paper; Utilize variance and the corresponding relation between the paper smoothness of the quantitative values of radial neural network model fitting paper at last, thereby obtain smoothness of paper.
2. paper smoothness online soft sensor method as claimed in claim 1 is characterized in that: the quantitative values Q of said paper is: Q=Q
0+ n, wherein, Q
0Be the mean value of Substance value, n is the random element or the error of Substance value.
3. paper smoothness online soft sensor method as claimed in claim 2; It is characterized in that: the variance of said quantitative values is calculated according to formula
and is got; Wherein,
is the variance of quantitative values; E is the statistical average function, and n is the random element or the error of Substance value.
4. paper smoothness online soft sensor method as claimed in claim 2; It is characterized in that: the variance and the corresponding relation between the paper smoothness of said Substance value are:
wherein; S is a smoothness of paper, and
is the variance of Substance value.
5. paper smoothness online soft sensor method as claimed in claim 2 is characterized in that: the variance of said Substance value and the relation of paper smoothness get through radial base neural net.
6. device that utilizes the described method of claim 1 to carry out the online soft detection of paper smoothness; It is characterized in that: comprise the radioactive source that is positioned at measured paper sheet underneath, the ionization chamber that is positioned at measured paper top; Be provided with the probe of measuring at paper surface in the said ionization chamber; The other end of this probe is connected the input end of pre-amplification circuit, and the output terminal of this pre-amplification circuit is connected the input end of CPU.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201110456989.3A CN102564362B (en) | 2011-12-23 | 2011-12-23 | Online soft measuring method of paper smoothness |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201110456989.3A CN102564362B (en) | 2011-12-23 | 2011-12-23 | Online soft measuring method of paper smoothness |
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| CN102564362A true CN102564362A (en) | 2012-07-11 |
| CN102564362B CN102564362B (en) | 2014-04-16 |
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| CN201110456989.3A Expired - Fee Related CN102564362B (en) | 2011-12-23 | 2011-12-23 | Online soft measuring method of paper smoothness |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110924217A (en) * | 2019-12-17 | 2020-03-27 | 浙江金龙纸业有限公司 | Soft calender roll equipment for improving smoothness of paper and soft pressing method |
| CN111024557A (en) * | 2019-12-20 | 2020-04-17 | 广州博依特智能信息科技有限公司 | Soft measurement method for water absorption of paper sheet |
| CN116990009A (en) * | 2023-09-28 | 2023-11-03 | 南通美乐柯材料科技有限公司 | Zipper smoothness detection device and detection method |
| CN117387473A (en) * | 2023-12-12 | 2024-01-12 | 维达纸业（中国）有限公司 | Full-automatic intelligent smoothness measuring device |
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| SU239634A1 (en) * | М. Фридман , И. Н. Лихтман | DEVICE FOR DETERMINATION OF SMOOTH OF PAPER | ||
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| SU239634A1 (en) * | М. Фридман , И. Н. Лихтман | DEVICE FOR DETERMINATION OF SMOOTH OF PAPER | ||
| CN1083929A (en) * | 1993-04-06 | 1994-03-16 | 浙江大学 | Measure the instrument and the measuring method thereof of paper ash |
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110924217A (en) * | 2019-12-17 | 2020-03-27 | 浙江金龙纸业有限公司 | Soft calender roll equipment for improving smoothness of paper and soft pressing method |
| CN111024557A (en) * | 2019-12-20 | 2020-04-17 | 广州博依特智能信息科技有限公司 | Soft measurement method for water absorption of paper sheet |
| CN116990009A (en) * | 2023-09-28 | 2023-11-03 | 南通美乐柯材料科技有限公司 | Zipper smoothness detection device and detection method |
| CN116990009B (en) * | 2023-09-28 | 2023-12-29 | 南通美乐柯材料科技有限公司 | Zipper smoothness detection device and detection method |
| CN117387473A (en) * | 2023-12-12 | 2024-01-12 | 维达纸业（中国）有限公司 | Full-automatic intelligent smoothness measuring device |
| CN117387473B (en) * | 2023-12-12 | 2024-02-23 | 维达纸业（中国）有限公司 | Full-automatic intelligent smoothness measuring device |
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| CN102564362B (en) | 2014-04-16 |
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