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Artificial intelligence system for intelligent monitoring and management of water treatment plants

Jamal Mabrouki, Ghizlane Fattah, Siham Kherraf, Younes Abrouki, Mourade Azrour, Souad El Hajjaji

202243 citationsDOI

Abstract

70In the field of clean water treatment, the use of artificial intelligence is becoming imperative to achieve two main objectives at present, the control of water quality and the reduction of operating cost constraints. Treatment plant output quality variables play an important role in water control and monitoring. Although some parameters can be measured continuously using low-cost physical sensors, the software sensor-based system can provide an efficient and cost-effective means of addressing these issues. Our work can be considered as a contribution to the proposed solutions to problems of strategic interest of national and international concern, using modern tools based on advanced techniques and artificial intelligence. In this context, we present a contribution to the study of intelligent sensors used in the monitoring and control and management of processing stations. These algorithmic sensors based on artificial intelligence techniques and representing a very attractive way to cope with the lack of specific sensors have become highly coveted.

Topics & Concepts

Context (archaeology)Computer scienceControl (management)Risk analysis (engineering)SoftwareField (mathematics)Systems engineeringMonitoring and controlEngineeringArtificial intelligenceControl engineeringPaleontologyProgramming languageMathematicsBiologyPure mathematicsMedicineWater Quality Monitoring Technologies
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