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Comparison of Scale in a Photosynthetic Reactor System for Algal Remediation of Wastewater
Published on: March 6, 2017
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A statistics-based system for treatment plant operation
P M Berthouex1, W Lai, A Darjatmoko
1Department of Civil and Environmental Engineering, The University of Wisconsin-Madison, 53706, Madison, WI, USA.
Environmental Monitoring and Assessment
|November 19, 2013
Summary
This study developed a computer system to aid wastewater treatment operators in process control and problem detection. It integrates data management, statistical analysis, and an expert system for improved operational efficiency.
Area of Science:
- Environmental Engineering
- Computer Science
- Process Control
Background:
- Wastewater treatment operations require sophisticated control for efficiency and problem detection.
- Existing systems may lack user-friendly interfaces and integrated analytical tools.
- Operators need support in interpreting process data and selecting appropriate actions.
Purpose of the Study:
- To develop a convenient computer system for enhancing wastewater treatment process operation and control.
- To assist operators in identifying process issues and implementing effective control strategies.
- To integrate data management, statistical analysis, and expert advisory capabilities.
Main Methods:
- Development of a computer system with subsystems for database management, data analysis, and an expert advisory system.
- Implementation of statistical methods including external reference distributions, moving averages, and graphical methods.
- Utilizing reference distributions to define fuzzy terms for expert system control rules.
Main Results:
- A user-friendly computer system was developed using dBase-III and Lotus-123.
- The system incorporates various statistical methods for data analysis and process monitoring.
- The expert system aims to provide actionable control recommendations based on process data.
Conclusions:
- The developed computer system offers a convenient tool for wastewater treatment plant operators.
- Integration of statistical analysis and expert systems can improve process control and problem detection.
- Further development is ongoing for advanced methods like discriminant functions and control charts.
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