The modernization of laboratory infrastructure requires secure, reliable remote monitoring systems to replace inefficient manual supervision. This study presents the design and implementation of a Web-based Supervisory Control and Data Acquisition (SCADA) system for laboratory furnaces, incorporating Proportional-Integral-Derivative (PID) control for precise temperature regulation and the Message Queuing Telemetry Transport (MQTT) protocol for efficient wireless data transmission. A key feature of the proposed architecture is the integration of Role-Based Access Control (RBAC), which systematically classifies user permissions into Administrator, Operator, and Viewer roles to ensure operational safety and prevent unauthorized actions. The system employs an Arduino Uno R4 Wi-Fi as a gateway, interfacing industrial-grade sensors with a React.js and Node.js web platform, enabling real-time monitoring and supervisory control. Performance evaluation demonstrates robust communication stability, achieving 0% packet loss and consistent throughput, with an average latency of approximately 0.5 seconds for remote monitoring and under 0.2 seconds for control commands. While functional testing confirms that the RBAC mechanism effectively manages user permissions, load testing indicates that concurrent, multi-user access on the current shared hosting configuration introduces performance bottlenecks, highlighting a need for dedicated infrastructure to ensure scalability. This research contributes to the field of physics instrumentation by providing a scalable, secure, and cost-efficient architectural model for remote laboratory experimentation within academic environments
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