On-line polyethylene additives analysis using LabVIEW® and Charm Works™

被引:0
|
作者
Collins, M
Hope, P
机构
[1] Proc Anal & Automat Ltd, Farnborough GU14 9RX, Hants, England
[2] BP Chem Ltd, Polyethylene Dev Grp, Grangemouth, Scotland
关键词
D O I
10.1002/(SICI)1098-2728(1998)10:2<77::AID-LRA7>3.3.CO;2-Q
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A custom LabVIEW(R) 4-based system has been developed for BP Chemicals, a buIk plastics manufacturer that measures, on-line and in real time, the concentrations of three additives in the polyethylene melt in an extruder. This system is located at a large-scale production plant in Grangemouth, Scotland. This software acquires data from a Carl Zeiss MCS photodiode array UV/visible spectrophotometer, analyzes the optical spectra using the Charm Works(TM) partial least-squares (PLS) modeling algorithm, and predicts the concentration of additives in the polyethylene melt. The software is self-learning, with minimal involvement from the operators. In training mode, the software is "calibrated" using liquid chromatography (LC) performed on physical samples (removed from the extruder) in the site laboratories. The primary training exercise required only 30 carefully selected samples. These collectively explore the dynamic ranges of each chemical constituent, The model can be continually upgraded and optimized by occasional remodeling with additional training samples. The prediction engine continuously samples optical spectra and determines the concentration of each additive. Now the composition of the polyethylene melt can be inferred in real time rather than waiting several hours for physical sampling and LC analysis in the laboratory. (C) 1998 National Instruments. Published by John Wiley & Sons, Inc.
引用
收藏
页码:77 / 80
页数:4
相关论文
共 50 条
  • [41] ON-LINE MONITORING OF GLUCOSE SENSORS USING PRINCIPAL COMPONENT ANALYSIS
    Seborg, D.
    Zhao, C.
    Dassau, E.
    Zisser, H.
    Doyle, F. J., III
    Jovanovic, L.
    [J]. DIABETES TECHNOLOGY & THERAPEUTICS, 2013, 15 : A82 - A82
  • [42] On-line data compression and error analysis using wavelet technology
    Misra, M
    Qin, SJ
    Kumar, S
    Seemann, D
    [J]. AICHE JOURNAL, 2000, 46 (01) : 119 - 132
  • [43] On-line analysis of the photoacoustic spectral signal using wavelet transform
    Shao, XG
    Li, W
    Chen, G
    Su, QD
    [J]. FRESENIUS JOURNAL OF ANALYTICAL CHEMISTRY, 1999, 363 (03): : 215 - 218
  • [44] On-line Transient Stability Analysis using High Performance Computing
    Smith, Steve
    Woodward, Carol
    Min, Liang
    Jing, Chaoyang
    Del Rosso, Alberto
    [J]. 2014 IEEE PES INNOVATIVE SMART GRID TECHNOLOGIES CONFERENCE (ISGT), 2014,
  • [45] ON-LINE ANALYSIS OF ATRIAL PRESSURES USING A DIGITAL-COMPUTER
    RIDGES, JD
    SANDERS, WJ
    HARRISON, DC
    [J]. COMPUTERS AND BIOMEDICAL RESEARCH, 1973, 6 (02): : 196 - 208
  • [46] Design of the Infrared Temperature On-line Monitoring System of Electrical Equipment Based on LabVIEW
    Wang, Chao-qun
    Cui, Hao-yang
    Xu, Yong-peng
    Li, Xiang
    Tang, Zhong
    [J]. INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND ARTIFICIAL INTELLIGENCE (ICCSAI 2014), 2015, : 170 - 173
  • [47] Research of On-line Large-size Forging Measurement System based on LabVIEW
    Zhao, Xianling
    Liu, Jiansheng
    [J]. FRONTIERS OF ADVANCED MATERIALS AND ENGINEERING TECHNOLOGY, PTS 1-3, 2012, 430-432 : 1577 - +
  • [48] The On-line Detection System of Gas Mixture based on LabVIEW and MEMS Sensor arrays
    Wang Ting
    Zhao Wenjie
    Yu Yang
    Shi Yunbo
    [J]. 2014 FOURTH INTERNATIONAL CONFERENCE ON INSTRUMENTATION AND MEASUREMENT, COMPUTER, COMMUNICATION AND CONTROL (IMCCC), 2014, : 716 - 720
  • [49] Practical works for on-line teaching design and test of digital circuits
    Jutman, A
    Ubar, R
    Hahanov, V
    Skvortsova, O
    [J]. ICES 2002: 9TH IEEE INTERNATIONAL CONFERENCE ON ELECTRONICS, CIRCUITS AND SYSTEMS, VOLS I-111, CONFERENCE PROCEEDINGS, 2002, : 1223 - 1226
  • [50] On-line process control analysis
    Anon
    [J]. Metallurgia, 2002, 69 (01): : 18 - 19