Dissertation > Excellent graduate degree dissertation topics show

Study on Data Processing Technology about Near Infrared Spectroscopy of Organic Dirt in Industrial Water Treatment System

Author: LiuZhiYong
Tutor: MaHuiPing
School: Harbin Institute of Technology
Course: Instrument Science and Technology
Keywords: near-infrared spectroscopy partial least squares method artificial neural network organic dirt
CLC: X832
Type: Master's thesis
Year: 2012
Downloads: 39
Quote: 0
Read: Download Dissertation


In industrial water treatment system, the biofilm which produced by someorganic dirt will increase the energy consumption and maintenance cleaning costs ofequipments, resulting in the waste of energy and raw materials. At present ourresearch in the dirt monitoring filed, not only the innovative design of the monitoringprinciple, but also the development and application of monitoring devices, be laggingfar behind of the other industrial countries in the world.This article describes the common fouling monitoring methods and devices athome and abroad, and analyses the principle, advantages and disadvantages of eachmonitoring device and the scope of application.This article analyzes the current situation of the near-infrared spectroscopy, andapplied the near-infrared spectroscopy techniques to organic fouling monitoring inindustrial water treatment system greatly enhanced the efficiency of the organic dirtmonitoring.This paper studies the formation of organic fouling in industrial water treatmentsystem and its optical characteristics, built the sample data and spectral data used tothe near infrared spectroscopy. Studied the partial least squares regression ofChemometrics, established a quantitative calibration model which can describe of therelationship between the ingredients in organic dirt with its Near InfraredSpectroscopy. Studied the radial basis function network compensation mechanism ofartificial neural network, solved the nonlinear problem of partial least squaresmethod in the measurement parameters and output to expand the measurement range,and improve the measurement accuracy.This article using Visual C++software dialog-based architecture completedthe near-infrared spectral data processing software system. This software systemachieved display the spectral data in table, easy to search for the spectral data of eachsample at each wavelength point, also can draw the function figure of spectral data,visually reflect each sample absorbance changes in the spectral region, timely detectthe abnormal data in the spectra. This system implements the pretreatment of thesample spectral data and the nature of data to achieve the best optimization of the modeling data. This system completed the partial least squares modeling, theartificial neural network modeling and the hybrid modeling of artificial neuralnetwork to compensate for the partial least squares, through the correlationcoefficient R of the model, the standard error of prediction SEP reliable evaluate themodel reliability. After validation, the correlation coefficient between the modelpredicted values and the true value R can be up to0.9, the model standard error ofprediction SEP can reach0.6.

Related Dissertations

  1. Development of the Platform for Compressor Optimization Design and Aerodynamic Optimization Design in the Transonic Compressor,TH45
  2. Monitoring Leaf Nitrogen Status in Rice with Near Infrared Spectroscopy,S511
  3. Enterprise Security Benefit Evaluation and Development Strategies,F272;F224.5
  4. Control of robotic arm movements transform regular surface EMG,TN911.7
  5. Research on the EMC and Cogging Torque of a Small Moment Gyroscope,TN03
  6. Research of Blind Equalization Algorithm Based on Neural Networks,TN911.7
  7. Research and Application on the Guarding against Power Theft System,TM73
  8. Research on Membrane Fouling of Short-cut Nitrification in the Intermittently Aerated Membrane Bioreactor,X703
  9. Experimental Study on the Ethylene/air Diffusion Flame Based on Near-infrared Emission Spectrometry Measurement,TK16
  10. DSP FPGA -based near-infrared detector key technology research,TN791
  11. Application of NIR Spectroscopy in the Quality Control of Compound Kushen Injection,R286.0
  12. The Study about Near-infrared Spectroscopy in the Cerebral Cortex during Motor Imagery of the Elderly,R741
  13. Research and Application of Debris Flow Forecast Based on Artificial Neural Networks,P642.23
  14. A Research on BP Neural Network High-rise Building Green Construction Evaluation,TU974
  15. Application of QSAR and Molcular Docking Studies in Medicinal Analytical Chemistry,R917
  16. Study on Identification of Cashmere and Wool Using Near Infrared Spectroscopy,TS131
  17. Research in World Crude Oil Price and Its Factors,F713.35;F224
  18. Mobile robot voice recognition control simulation system design and implementation,TN912.34
  19. The Research of Stuttered Speech Recognition Based on ANN and HMM,TN912.34
  20. Study on Reasons, Detection and Protection of Accounting Information Distortion in Company,F233
  21. Research on Technology of Increasing Recovery Rate of Fully Mechanized Sub-level Caving Face,TD823

CLC: > Environmental science, safety science > Environmental Quality Assessment and Environmental Monitoring > Environmental monitoring > Water quality monitoring
© 2012 www.DissertationTopic.Net  Mobile