Abstract
This study delves into the enhanced integration of Supervisory Control and Data Acquisition (SCA-DA) systems into Vapor Compression Distillation (VCD) processes for water treatment and desalination. Recognizing the limitations of current VCD systems—such as inefficient real-time data utilization, a pre-dominant focus on theoretical models, and insufficient attention to maintenance and reliability in chal-lenging environments—this research presents a comprehensive SCADA-based VCD system designed to overcome these challenges. Our system significantly improves real-time monitoring and dynamic opera-tional adjustment capabilities, thereby optimizing system responsiveness and operational efficiency. By incorporating advanced sensor technologies and predictive maintenance algorithms, the study ensures heightened reliability and reduced downtime, marking a substantial improvement over traditional VCD systems. The practical implementation of these enhancements is validated in a live operational setting, demonstrating their effectiveness in real-world applications. The findings underscore the potential of integrating SCADA systems to revolutionize VCD processes, making significant strides towards more sustainable and efficient water treatment solutions.
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