CN101900673A - A method for on-line non-destructive testing of paper properties - Google Patents
A method for on-line non-destructive testing of paper properties Download PDFInfo
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- CN101900673A CN101900673A CN 201010188758 CN201010188758A CN101900673A CN 101900673 A CN101900673 A CN 101900673A CN 201010188758 CN201010188758 CN 201010188758 CN 201010188758 A CN201010188758 A CN 201010188758A CN 101900673 A CN101900673 A CN 101900673A
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- 238000000034 method Methods 0.000 title claims abstract description 32
- 238000009659 non-destructive testing Methods 0.000 title abstract description 4
- 238000002329 infrared spectrum Methods 0.000 claims abstract description 8
- 238000001228 spectrum Methods 0.000 claims description 17
- 230000000704 physical effect Effects 0.000 claims description 6
- 230000003595 spectral effect Effects 0.000 claims description 6
- 229920001131 Pulp (paper) Polymers 0.000 claims description 5
- 238000004513 sizing Methods 0.000 claims description 3
- 238000007796 conventional method Methods 0.000 claims description 2
- 238000010606 normalization Methods 0.000 claims description 2
- 239000000126 substance Substances 0.000 claims description 2
- 238000007781 pre-processing Methods 0.000 claims 3
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 claims 1
- 238000004497 NIR spectroscopy Methods 0.000 claims 1
- 238000013528 artificial neural network Methods 0.000 claims 1
- 229910052799 carbon Inorganic materials 0.000 claims 1
- 230000004069 differentiation Effects 0.000 claims 1
- 230000008030 elimination Effects 0.000 claims 1
- 238000003379 elimination reaction Methods 0.000 claims 1
- 239000000835 fiber Substances 0.000 claims 1
- 238000009499 grossing Methods 0.000 claims 1
- 238000004433 infrared transmission spectrum Methods 0.000 claims 1
- 230000001678 irradiating effect Effects 0.000 claims 1
- 238000012417 linear regression Methods 0.000 claims 1
- 238000000513 principal component analysis Methods 0.000 claims 1
- 238000012628 principal component regression Methods 0.000 claims 1
- 238000000985 reflectance spectrum Methods 0.000 claims 1
- 238000010937 topological data analysis Methods 0.000 claims 1
- 238000004537 pulping Methods 0.000 abstract description 7
- 239000002994 raw material Substances 0.000 abstract description 4
- 238000010411 cooking Methods 0.000 abstract description 3
- 238000012360 testing method Methods 0.000 abstract description 3
- 230000001066 destructive effect Effects 0.000 abstract description 2
- 239000000123 paper Substances 0.000 description 33
- 239000000523 sample Substances 0.000 description 21
- 238000004611 spectroscopical analysis Methods 0.000 description 11
- 239000002023 wood Substances 0.000 description 11
- 238000004458 analytical method Methods 0.000 description 7
- 238000005516 engineering process Methods 0.000 description 6
- 238000004519 manufacturing process Methods 0.000 description 4
- 238000001514 detection method Methods 0.000 description 3
- 238000005259 measurement Methods 0.000 description 3
- 238000005070 sampling Methods 0.000 description 3
- 239000002002 slurry Substances 0.000 description 3
- 239000000203 mixture Substances 0.000 description 2
- 239000002245 particle Substances 0.000 description 2
- 239000000843 powder Substances 0.000 description 2
- 239000013074 reference sample Substances 0.000 description 2
- 241000196324 Embryophyta Species 0.000 description 1
- 244000166124 Eucalyptus globulus Species 0.000 description 1
- 240000007472 Leucaena leucocephala Species 0.000 description 1
- 235000010643 Leucaena leucocephala Nutrition 0.000 description 1
- 240000007182 Ochroma pyramidale Species 0.000 description 1
- 241000219000 Populus Species 0.000 description 1
- 241000249899 Populus tomentosa Species 0.000 description 1
- 239000000654 additive Substances 0.000 description 1
- 230000000996 additive effect Effects 0.000 description 1
- 238000000149 argon plasma sintering Methods 0.000 description 1
- 238000013142 basic testing Methods 0.000 description 1
- 239000011111 cardboard Substances 0.000 description 1
- 230000002950 deficient Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000029087 digestion Effects 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
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- 238000003333 near-infrared imaging Methods 0.000 description 1
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Abstract
本发明公开了一种在线无损检测纸张性能的方法。通过非破坏性采集少量原料，扫描其近红外光谱数据，即可利用本发明的模型预测出未知样品的制浆性能。它解决了现在必须通过蒸煮试验才能获得制浆性能的问题。大大降低了分析制浆得率的时间，成本以及污染等问题，达到快速、无损预测制浆性能。The invention discloses a method for on-line nondestructive testing of paper properties. By non-destructively collecting a small amount of raw materials and scanning their near-infrared spectrum data, the model of the invention can be used to predict the pulping performance of unknown samples. It solves the problem of having to pass a cooking test to obtain pulping performance now. It greatly reduces the time, cost and pollution of analyzing pulping yield, and achieves rapid and non-destructive prediction of pulping performance.
Description
Technical field
The invention relates to and set up the various performance prediction models of paper, and utilize the method for this model determination paper performance.
Background technology
Along with the raising of the requirement of paper and cardboard consumption, the paper industry prods quality is had higher requirement.Require paper performance that good consistance is arranged.Owing to market wood chip shortage, the pulp mill has to select different wood chips to come slurrying now, and this makes pulp quality not quietly, finally causes the finished product paper quality not quietly.If every performance of energy fast measuring finished product paper, and feed back to machine hand's skill, can stablize paper performance greatly, improve paper quality.At present to the various performance detection of paper, all need to get a certain amount of paper, deliver to quality testing department with its performance of corresponding Instrument measuring, this need spend the long time, and be destructive the measurement, can not online dynamic continuous detecting, can't reflect paper quality fast, timely feedback quality problem, the defective that exists analysis result to lag behind.These are unfavorable for the quick quality analysis of paper, enhance productivity, and are not suitable for the needs of modern production development.Therefore, current press for research a kind of fast, efficiently, new analyzing detecting method accurately.
Near infrared light (Near Infrared, NIR) be electromagnetic wave between visible light (VIS) and mid-infrared light (MIR), the wavelength coverage in the near infrared spectrum district of ASTM definition be 780～2526nm (12820～3959cm-1), again the near-infrared region is divided near infrared shortwave (780～1100nm) and near infrared long wave (1100～2526nm) two zones traditionally.Near-infrared spectrum analysis is that spectral measurement methods, the stoichiometry of infrared range (800-2500nm) nearly learns a skill, computer technology and basic test technology are intersected the modern analytical technique that combines, and is mainly used in the direct express-analysis of complex sample.During the near-infrared analysis complex sample, usually at first need the near infrared spectrum of sample and measurement parameters such as structures of samples, composition or character (recording) with the reference method of standard or approval, it is in addition related to adopt stoichiometry to learn a skill, and sets up calibration model to be measured; Calibration model by the mensuration and the application of unknown sample spectrum have been set up comes the fast prediction sample to be measured then.In recent years, to be applied to paper industry mainly be aspect the chemical composition mensuration of raw material near infrared technology and measure slurry Kappa number etc.
Show from the retrieval of China Intellectual Property Office's patent retrieval database, have only and utilize moisture and quantitative (CN 100501374C) infrared or near infrared technology mensuration paper, do not utilize near infrared online to measure patents such as paper whiteness, tensile strength, tear strength, pop strength, folding strength, smoothness, degree of sizing, transparency.In addition, report is arranged abroad, predict that the freedom of paper pulp, slurry are dense, tear index, tensile index and light scattering property by measuring the near infrared spectrogram of mechanical pulp production line spreading mass.And not about predict every index of paper by the near infrared light spectrogram of paper.
Summary of the invention
The method that the purpose of this invention is to provide a kind of non-destructive testing paper physical property based on near-infrared spectrum technique adopts near-infrared spectrum technique, compares with traditional means of testing, has fast, saves time, laborsaving and advantage such as can onlinely detect.
For achieving the above object, the technical solution used in the present invention step is as follows: a, a certain amount of representative outturn is got in not timing on the paper machine.B, employing near infrared spectrometer measuring samples are at 12000cm
-1-4000cm
-1Diffuse reflection spectrum or the projection spectrum, instrumental resolution is 2-128cm
-1, scanning 1-128 time on average becomes a spectroscopic data.C, the present conventional method of employing are measured every index of outturn.D, spectroscopic data is proofreaied and correct and pre-service, set up near-infrared spectrum analysis mathematical model between spectroscopic data and the pulpability, and it is deposited in the storer with modern multiple regression algorithm.E, with the paper of unknown sample set by step the method for b obtain its spectroscopic data, after the preprocess method of the spectroscopic data of unknown sample in steps d handled, spectrum characteristics is sent into calibration model, can measure the paper performance of unknown sample.Described paper performance comprises whiteness, tensile strength, tear strength, pop strength, folding strength, smoothness, degree of sizing, transparency etc.Accompanying drawing 1 shown device is set up the device of model for the present invention.
The present invention has the following advantages:
1. use the quantitative of near-infrared method on-line measurement paper, can realize the in good time detection of production line paper physical property.
2. realized the mensuration of multiple performance with an equipment, and whole process time is short, speed is fast, has improved work efficiency, has reduced equipment cost.
Embodiment
The present invention typically measures the example of fibrous material pulping yield and Kappa number method
(1) sample is selected; At first select acacia rachii 16 strains of the representative different strains and the different age of trees, get a disk every 1.5m, get 4-6 disk according to different every the trees of the height of tree along height of tree direction.From disk being got the wood particle of one 3cm * 3cm * 3cm, require the wood particle smooth surface clean and tidy, roughness is always.Get a certain amount of wood shavings, wear into wood powder.Remaining is processed into the wood chip of 20mm (length) * 10mm (wide) * 3mm (height).
(2) scanning spectrogram; In 4000cm-1-12000cm-1 spectrum district, scanning 64 times on average becomes a spectroscopic data, resolution 8cm with sample
-1, adopt universal stage to increase sampling area, gather the diffuse reflection spectrum of wood powder, wood shavings and wooden unit.
(3) pulpability; The wood chip that makes is carried out cooking test, measure pulping yield and slurry Kappa number with the method in the GB.
(4) spectrum pre-service; Obtain behind the sample spectrum spectroscopic data to be carried out the spectrum pre-service.
(5) foundation of model; Utilize the partial least square method in the multivariate analysis software, between the spectroscopic data that handled the pulpability of measuring and above-mentioned (4), set up the model of pulpability in above-mentioned (3).
(6) prediction pulpability; At first scan sample to be tested and obtain spectrogram, the measuring method that is adopted when obtaining their spectrogram, the measuring method that must be adopted with obtain reference sample the time is consistent, such as the method for sampling, rate, sweep time etc., parameter should be consistent respectively.The spectral signature parameter of unknown kind sample is sent into the pulpability that calibration model can be measured unknown sample.
Model by the method foundation, can predict the pulping yield and the Kappa number of plant material at short notice, the guidance of science can be provided for the directed genetic breeding of forest, also can instruct the pulp mill to change conditions of cooking according to the Kappa number of prediction according to different raw materials.
Description of drawings:
Fig. 1 is set up model near infrared detection system by the present invention.
Fig. 2 is the result who utilizes model determination paper tensile index of the present invention
Fig. 3 is the result who utilizes model determination paper whiteness of the present invention
Embodiment
Exemplary embodiments one of the present invention: the tensile index of measuring paper
(1) sample is selected; The paper that the representative raw material of at first selecting the different places of production (as Guangxi, Guangdong, Fujian), different strain (as Chinese white poplar, yearning between lovers wood, Eucalyptus, American-European poplar), different technology conditions (as different digestion times or temperature), difference to cut down trees season (as summer, winter) is produced.Generally get 50 parts at least, in practice can be according to the scope of application of calibration model, its quantity can constantly increase.This experiment is taken a sample 73 altogether.
(2) scanning spectrogram; In 4000cm-1-12000cm-1 spectrum district, is 8cm in resolution with sample
-1Down, scanning 64 times on average becomes a spectroscopic data.
(3) paper performance; Scanned the tensile index of spectrogram paper at experimental determination.
(4) spectrum pre-service; Obtain with eliminating constant offset spectroscopic data to be carried out the spectrum pre-service behind the sample spectrum.
(5) foundation of model; At 11995.6cm
-1-6098.1cm
-1And 5450.1cm
-1-4597.7cm
-1The spectrum district utilizes the partial least square method in the multivariate analysis software, between the spectroscopic data that handled the tensile index of measuring in above-mentioned (3) and above-mentioned (4), sets up the model of tensile index
(6) prediction tensile index; At first scan sample to be tested and obtain spectrogram, the measuring method that is adopted when obtaining their spectrogram, the measuring method that must be adopted with obtain reference sample the time is consistent, such as the method for sampling, rate, sweep time etc., parameter should be consistent respectively.The spectral signature parameter of unknown kind sample is sent into the tensile index that calibration model can be measured unknown sample.
By the model that the method is set up, can predict the tensile index of paper at short notice,
Exemplary embodiments two of the present invention: measure paper of whiteness
In the present embodiment, get the paper that has scanned spectrogram and measure its whiteness, spectrogram is carried out pre-service, select 11995.6cm-1-6098.1cm-1 and 5450.1cm-1-4246.7cm-1 spectrum district with first order derivative+vector normalization with the whiteness instrument.Additive method is identical with embodiment one.
Claims (3)
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| CN 201010188758 CN101900673A (en) | 2010-06-02 | 2010-06-02 | A method for on-line non-destructive testing of paper properties |
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102564362A (en) * | 2011-12-23 | 2012-07-11 | 陕西科技大学 | Online soft measuring method and device of paper smoothness |
| CN102721608A (en) * | 2012-07-02 | 2012-10-10 | 云南烟草科学研究院 | Test method for tensile strength of tobaccos reconstituted by papermaking method |
| CN104297204A (en) * | 2014-10-08 | 2015-01-21 | 华南理工大学 | Method and device for identifying whether toilet paper is mixed with reclaimed fiber or not |
| CN104881715A (en) * | 2015-05-26 | 2015-09-02 | 华南理工大学 | Paper plant pulp property prediction method based on ratio of waste paper |
| CN105223102A (en) * | 2015-09-29 | 2016-01-06 | 中国林业科学研究院林产化学工业研究所 | A kind of method utilizing Near Infrared Spectroscopy for Rapid slurrying material basic density |
| CN107014770A (en) * | 2017-05-15 | 2017-08-04 | 崔哲 | A kind of leather lossless detection method and its system based on spectrum analysis |
| CN108427969A (en) * | 2018-03-27 | 2018-08-21 | 陕西科技大学 | A kind of paper sheet defect sorting technique of Multiscale Morphological combination convolutional neural networks |
| CN116167597A (en) * | 2023-04-26 | 2023-05-26 | 烟台市重科产业技术研究院有限公司 | Intelligent maintenance management system for archival materials |
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|---|---|---|---|---|
| WO1995031710A1 (en) * | 1994-05-18 | 1995-11-23 | Sjoeberg Kjell | Spectrophotometric method to measure quality and strength parameters in trees, lumber, timber, chips, saw dust, pulp and paper |
| US20010028459A1 (en) * | 1998-11-04 | 2001-10-11 | Siemens Ag. | Method of measuring the quality properties of paper and/or board on moving webs |
| WO2001079816A1 (en) * | 2000-04-14 | 2001-10-25 | Stora Enso Aktiebolag | Method in connection with the production of pulp, paper or paperboard |
| CN101387497A (en) * | 2008-10-28 | 2009-03-18 | 北京林业大学 | Method for Measuring Fiber Morphology of Plant Fiber Materials Using Near Infrared Spectroscopy |
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2010
- 2010-06-02 CN CN 201010188758 patent/CN101900673A/en active Pending
Patent Citations (4)
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|---|---|---|---|---|
| WO1995031710A1 (en) * | 1994-05-18 | 1995-11-23 | Sjoeberg Kjell | Spectrophotometric method to measure quality and strength parameters in trees, lumber, timber, chips, saw dust, pulp and paper |
| US20010028459A1 (en) * | 1998-11-04 | 2001-10-11 | Siemens Ag. | Method of measuring the quality properties of paper and/or board on moving webs |
| WO2001079816A1 (en) * | 2000-04-14 | 2001-10-25 | Stora Enso Aktiebolag | Method in connection with the production of pulp, paper or paperboard |
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Non-Patent Citations (1)
| Title |
|---|
| 《Journal of Wood Chemistry and Technology》 20050430 Pedro Fardim等 Determination of Mechanical and Optical 267-279页 1-3 第25卷, 第5期 2 * |
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102564362A (en) * | 2011-12-23 | 2012-07-11 | 陕西科技大学 | Online soft measuring method and device of paper smoothness |
| CN102564362B (en) * | 2011-12-23 | 2014-04-16 | 陕西科技大学 | Online soft measuring method of paper smoothness |
| CN102721608A (en) * | 2012-07-02 | 2012-10-10 | 云南烟草科学研究院 | Test method for tensile strength of tobaccos reconstituted by papermaking method |
| CN104297204A (en) * | 2014-10-08 | 2015-01-21 | 华南理工大学 | Method and device for identifying whether toilet paper is mixed with reclaimed fiber or not |
| CN104297204B (en) * | 2014-10-08 | 2017-02-08 | 华南理工大学 | Method and device for identifying whether toilet paper is mixed with reclaimed fiber or not |
| CN104881715A (en) * | 2015-05-26 | 2015-09-02 | 华南理工大学 | Paper plant pulp property prediction method based on ratio of waste paper |
| CN104881715B (en) * | 2015-05-26 | 2018-11-02 | 华南理工大学 | A kind of method that paper plant predicts pulp property according to waste paper proportioning |
| CN105223102A (en) * | 2015-09-29 | 2016-01-06 | 中国林业科学研究院林产化学工业研究所 | A kind of method utilizing Near Infrared Spectroscopy for Rapid slurrying material basic density |
| CN107014770A (en) * | 2017-05-15 | 2017-08-04 | 崔哲 | A kind of leather lossless detection method and its system based on spectrum analysis |
| CN108427969A (en) * | 2018-03-27 | 2018-08-21 | 陕西科技大学 | A kind of paper sheet defect sorting technique of Multiscale Morphological combination convolutional neural networks |
| CN116167597A (en) * | 2023-04-26 | 2023-05-26 | 烟台市重科产业技术研究院有限公司 | Intelligent maintenance management system for archival materials |
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Application publication date: 20101201 |