Application of digital image technique to control chemical coagulation and sedimentation process
| Autor: | Ming-min Chen, 陳銘敏 |
|---|---|
| Rok vydání: | 2010 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 98 Chemical coagulation and sedimentation process was typically used in most industrial wastewater treatment plants in Taiwan to remove the suspended solids and other pollutants. The efficiency of chemical coagulation and sedimentation will be influenced by the particle size distribution, density, and fractal dimension. The present method to analysis the particle size characteristics in wastewater is typically using the laser particle counter. It is unable to offer the on-line monitoring for real-time control. On the other hand, the dosage control of coagulant in chemical coagulation and sedimentation is typically according to the results from jar test. It is also unable to be used for real-time control. An image detection system and digital image recognition technical was setup in this study to measure the particle characteristics including particle size distribution, fractal dimension, solid flux etc. for real-time control the chemical coagulation and sedimentation process. The artificial neural network (ANN) will used to construct the control model. This model has high potential to be able to predict the efficiency of sedimentation precisely. Finally, an on-line control strategy for particle setting evaluation and control will be built and used to control the chemical coagulation and sedimentation process. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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