Expert System for Water Treatment Plant Operation

1996 ◽  
Vol 122 (9) ◽  
pp. 822-829 ◽  
Author(s):  
Xin X. Zhu ◽  
Angus R. Simpson
Keyword(s):  
Expert System ◽  
Water Treatment ◽  
Treatment Plant ◽  
Water Treatment Plant ◽  
Plant Operation

Chemical monitoring strategy for the assessment of advanced water treatment plant performance

2010 ◽  
Vol 10 (6) ◽  
pp. 961-968 ◽  
Author(s):  
J. E. Drewes ◽  
J. A. McDonald ◽  
T. Trinh ◽  
M. V. Storey ◽  
S. J. Khan
Keyword(s):  
Water Quality ◽  
Water Treatment ◽  
Reverse Osmosis ◽  
Pilot Plant ◽  
Monitoring Program ◽  
Treatment Plant ◽  
Water Treatment Plant ◽  
Pilot Scale ◽  
Chemical Monitoring ◽  
Plant Operation

A pilot-scale plant was employed to validate the performance of a proposed full-scale advanced water treatment plant (AWTP) in Sydney, Australia. The primary aim of this study was to develop a chemical monitoring program that can demonstrate proper plant operation resulting in the removal of priority chemical constituents in the product water. The feed water quality to the pilot plant was tertiary-treated effluent from a wastewater treatment plant. The unit processes of the AWTP were comprised of an integrated membrane system (ultrafiltration, reverse osmosis) followed by final chlorination generating a water quality that does not present a source of human or environmental health concern. The chemical monitoring program was undertaken over 6 weeks during pilot plant operation and involved the quantitative analysis of pharmaceuticals and personal care products, steroidal hormones, industrial chemicals, pesticides, N-nitrosamines and halomethanes. The first phase consisted of baseline monitoring of target compounds to quantify influent concentrations in feed waters to the plant. This was followed by a period of validation monitoring utilising indicator chemicals and surrogate measures suitable to assess proper process performance at various stages of the AWTP. This effort was supported by challenge testing experiments to further validate removal of a series of indicator chemicals by reverse osmosis. This pilot-scale study demonstrated a simplified analytical approach that can be employed to assure proper operation of advanced water treatment processes and the absence of trace organic chemicals.

The impact of algogenic organic matter on water treatment plant operation and water quality: A review

2015 ◽  
Vol 46 (4) ◽  
pp. 291-335 ◽  
Author(s):  
M. Pivokonsky ◽  
J. Naceradska ◽  
I. Kopecka ◽  
M. Baresova ◽  
B. Jefferson ◽  
...  
Keyword(s):  
Water Quality ◽  
Organic Matter ◽  
Water Treatment ◽  
Treatment Plant ◽  
Water Treatment Plant ◽  
Plant Operation ◽  
The Impact

Aspects of Intelligent Tutoring Systems Applied to Small Water Treatment Plant Expert Systems

1991 ◽  
Vol 24 (6) ◽  
pp. 307-314 ◽  
Author(s):  
A. G. Collins ◽  
J. Searleman ◽  
K. J. Collins
Keyword(s):  
Expert System ◽  
Water Treatment ◽  
Intelligent Tutoring Systems ◽  
Intelligent Tutoring ◽  
Treatment Plant ◽  
Water Treatment Plant ◽  
Test Analysis ◽  
Tutoring Systems ◽  
Small Water ◽  
Jar Test

An expert system has been developed to aid the operators of small water treatment plants. A tutorial component of the expert system explains the possible reasons for common problems by focusing on the jar test analysis for chemical dosage control. The tutor provides an operator with the opportunity to run the jar test, receive feedback on the parameters selected, visualize the results on the actual water treatment processes, and be tutored in the topics related to understanding the processes involved and additional supplemental areas such as concentrations and conversions. A background of Intelligent Tutoring Systems, along with a justification of the approach, is provided. The development of the jar test tutor including knowledge representation is described.

scholarly journals Expert system for applying coagulant in water treatment: case study in Nobres (Brazil)

2018 ◽  
Vol 13 (4) ◽  
pp. 832-840
Author(s):  
Ricardo Augusto Moraes Zaque ◽  
Welitom Ttatom Pereira da Silva ◽  
Aldecy de Almeida Santos
Keyword(s):  
Artificial Intelligence ◽  
Expert System ◽  
Water Treatment ◽  
Human Resources ◽  
Treatment Plant ◽  
Water Treatment Plant ◽  
Turing Test ◽  
Aluminium Sulphate ◽  
Mato Grosso

Abstract In most Brazilian municipalities, the water supply comes from surface water sources, requiring infrastructure and human resources, especially water treatment. Where infrastructure and human resources are lacking, auxiliary methods and/or substitutes are valuable. The aim of this work was to develop an expert system (ES) to determine and apply coagulant dosing, in real time, in a water treatment plant (WTP). The ES was developed and evaluated at the WTP in Nobres, Mato Grosso (MT) state, Brazil. It is called AIASD (artificial intelligence for aluminium sulphate dosage) and was validated using the Turing test. It can determine and apply coagulant dosing in water treatment. AIASD contributed successfully to WTP operations in Nobres and other WTPs; making decisions and applying the coagulant dosing necessary for water treatment.

Sign in / Sign up

Export Citation Format

Share Document