SMART MANUFACTURING EXECUTION SYSTEM: REVOLUTIONIZING INDUSTRY WITH IOT AND AI (MODULE: IOT AND TELEGRAM ALERT)

Abstract

Industrial environments need reliable and fast data monitoring to maintain operational efficiency and safety. This project takes on the task of constructing a secure Industrial Internet of Things (IIoT) pipeline to create an end-to-end data collecting and visualization system. My work is centered on the system's basic integration and data processing elements. The approach entailed establishing Node-RED to communicate directly with a Programmable Logic Controller (PLC) and collect vital process data. This data was then published to a MQTT broker, and the communication channel was encrypted with TLS certificates created by Step-CA to assure data integrity and secrecy. As a result, I created a service to listen to MQTT topics, parse the incoming data, and store it in a TimescaleDB database for efficient time-series analysis. For data presentation, I built a Flask-based web application with two primary functions: it embeds a Grafana dashboard that queries TimescaleDB for historical data visualization, and it also uses a WebSocket connection to display live data directly from the MQTT stream, providing an immediate, real-time view of the industrial process. The final product is a safe and fully functional monitoring tool that later can send the user both live and historical data. This shows that industrial automation hardware can be successfully combined with modern open-source IoT technology.