Abstract
Nowadays, the vast majority of systems are automated. To automate, electromechanical equipment must be replaced by supervisory control and data acquisition (SCADA) systems and programmable logic controllers (PLCs) (SCADA). “PLC & SCADA-based distribution monitoring and control” refers to the use of an automobile system in an electrical distribution system for monitoring the voltage, current, power factor, etc., if any malfunction arises in the electrical system, with the use of a personal computer.” The goal of this project is to use IoT to improve DRIVE monitoring. DC motors are frequently employed in industrial settings. The speed management of DC motors has become simpler because of advancements in semiconductor technology with the programming language. The SCADA system gathers data by corresponding with the PLC, while the PLC directly monitors and regulates the input sent to the drive. Only an IoT connection can be used to send the message from SCADA with the message communication protocol (MCP). As a result, there is a push to make users more reachable, which lowers labor expenses by cutting back on-site visits for data collection, inspection, and correction. To make distribution automation more intelligent, efficient, and economical, research and development efforts worldwide are concentrated on the communication technologies revolution and the use of IEC 61850 protocols in distribution automation. Employing the parameters may easily control any load in our strategy to enhance system performance, dependability, etc. Alternatively, protection control and electrical parameter monitoring can be integrated using SCADA and PLC communication systems for optimal benefit.
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MadhusudhanaRao, G., Dasam, S., Pala Prasad Reddy, M., Rajagopal Reddy, B. (2024). Monitoring and Control of Motor Drive Parameters Using Internet of Things Protocol for Industrial Automation. In: Gunjan, V.K., Kumar, A., Zurada, J.M., Singh, S.N. (eds) Computational Intelligence in Machine Learning. ICCIML 2022. Lecture Notes in Electrical Engineering, vol 1106. Springer, Singapore. https://doi.org/10.1007/978-981-99-7954-7_10
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DOI: https://doi.org/10.1007/978-981-99-7954-7_10
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