Dissertation > Excellent graduate degree dissertation topics show

Automatic Control System of Dust Fan Based on Graphics Analysis

Author: LuXiaoRong
Tutor: SongZhiHuan
School: Zhejiang University
Course: Control Theory and Control Engineering
Keywords: Energy Saving Graphics analysis Soft sensor Feature extraction Clustering Classification
CLC: TP273
Type: Master's thesis
Year: 2012
Downloads: 30
Quote: 0
Read: Download Dissertation

Abstract


A lot of smoke is produced during the frequency melting process. To avoid polluting the environment, the smoke is drawn out through the pipes on the furnace. Economically, the speed of the induced draft fan (IDF) (the amount of smoke which is drawn out) should vary according to the concentration of smoke, which is high with the lots of smoke and low with little smoke. In order to measuring the concentration of the dust in the frequency melting furnace, this thesis develops a soft sensor system based on graphics analysis, wherein the smoke concentration in the furnace is measured indirectly by graphical features. The rotational speed of the An induced draft fan (IDF) is then adjusted in real time depending on the smoke concentration levels, which is classified by the distribution of the data of graphic features. The effect of the system has been remarkable since putting into production.The content of this thesis in brief includes:1. Through the investigation, the frequency melting process is divided into several operation stages. The required graphical features are selected after an analysis over the smoke condition in each specific stage.2. However, the brightness in the furnace is severely interfered by the condition of illumination in practice. To eliminate such interference, a compensation adjustment is proposed to get data in better quality for further analysis.3. The smoke conditions and screened graphs are quite distinguishing in different operation stages, while similar in the same stage. The rotational speed of the IDF can be set manually for few typical scenarios, but not able to do so in most cases. Thus, a semi-supervised clustering method is proposed to find the relations in data for setting an acceptable IDF speed.4. An automatic control system is developed. It is put into operation and works well.

Related Dissertations

  1. K Company’s Improving Planning and Forecasting for the Reasonable Allocation of Inventory,F224
  2. Soft Sensor of Naphtha Dry Point on Support Vector Machines Regression,TE622.1
  3. Research on Automatic Detection Algorithm for Substructure Distress of Highway Pavement Based on SVM,U418.6
  4. Several Problems of Energy Saving Operation in Air Conditioning System of Large Scale Public Buildings,TU831.6
  5. ISAR Imaging Simulation of Space Targets and Target Recognition Based on ISAR Images,TN957.52
  6. The Simulation and Analysis of Spectrum Sensing Based on Higher Order Cumulants,TN911.23
  7. Research on the Classification Based on the Reconstruction of Solder Joint,TP391.41
  8. Research on Feature Extraction and Classification of Pulse Waveform for Cholecystitis and Nephrotic Syndrome Diagnosis,TP391.41
  9. Application of Q-Learning in the Content-Based Image Retrieval Technology,TP391.41
  10. The Research and Implementation of Protein Classification Algorithm on the Basic of String Kernel,TP301.6
  11. Research on Transductive Support Vector Machine and Its Application in Image Retrieval,TP391.41
  12. Research on Feature Extraction and Classification of Tongue Shape and Tooth-Marked Tongue in TCM Tongue Diagnosis,TP391.41
  13. Research and Implementation of Mining Implicit User Interest,TP311.13
  14. Context-Dependent Lexical Paraphrasing,TP391.1
  15. Establishment and Update of Similar Users’ Cluster in Personalized Information Retrieval,TP391.3
  16. Research on Text Classification Based on Biomimetic Pattern Recongnition,TP391.1
  17. Tourism Comments on the Internet’s Semantic Analysis and Usefulness Research,TP391.1
  18. Research on Removal Algorithm of Shadows in Image Segmentation,TP391.41
  19. Research on Visual Measurement for Spacecraft Rendezvous and Approach,TP391.41
  20. Research on the Image Real-Time Acquisition, Storage and Image Processing System,TP391.41
  21. Feature Extraction, Selection and Combination in Lipreading,TP391.41

CLC: > Industrial Technology > Automation technology,computer technology > Automation technology and equipment > Automation systems > Automatic control,automatic control system
© 2012 www.DissertationTopic.Net  Mobile