Web-Based SCADA: Data Acquisition, Control and Energy Monitoring of Dryers

Abstract

To sustain manufacturing processes, industrial companies demand continuous and reliable power sources. Subsequently, forecasting future power demands, alongside constant fault monitoring, requires real-time decisions that only data-driven systems can make for cost-effective production. Hence, this study’s main interest was on developing a web-enabled Supervisory Control and Data Acquisition or SCADA, a system that can control, monitor power, and acquire datasets from a dryer. The proposed system undertook a variety of tests to confirm the specific features of interoperability, security, accuracy, and accessibility. In addition, in the various drying activities, the process values: Inlet Process Variable (InletPV) and Power Process Variable (PowerPV) datasets have been successfully generated and confirmed to have a strong link. Results proved that the proposed system performed well in all trials. These findings solidify the systems’ industrial scalability and further recommend enhancing other security aspects for other drying tasks in sensitive environments. Overall, this study provided a basis for superior control, monitoring, and data analysis on industrial drying processes, thereby minimizing dependence on expensive brand-specific hardware, improving user accessibility, predicting future power costs and faults, resulting in better control.