IoT-based Real-Time Data Acquisition System for Non- Programmable Machines with Dashboard Visualization

Journal: GRENZE International Journal of Engineering and Technology
Authors: Ashish Gaikwad, Shoaib Shaikh, Atharva Doundkar, Ranjana R. Badre
Volume: 10 Issue: 2
Grenze ID: 01.GIJET.10.2.48_1 Pages: 3079-3085

Abstract

The Internet of Things (IoT) has revolutionized the way we collect and analyse data in real-time by connecting physical devices and equipment to the internet. However, there are still challenges when it comes to extracting data from machines that cannot be programmed. This project proposes an IoT-based system designed to overcome this hurdle by collecting real-time data from such non-programmable machinery. The system is composed of three main components: a dashboard, IoT sensors, and the non-programmable devices themselves. The IoT sensors are attached to the non-programmable equipment and serve as data collectors. They transmit the gathered data to the cloud through a gateway. The dashboard is the visual representation of this data. It provides an intuitive user interface that displays the collected data in real-time. This allows users to monitor and evaluate the performance of the nonprogrammable equipment, identify any irregularities, and make necessary improvements. The proposed system has potential applications in various fields, including industrial automation, logistics, and supply chain management. By enabling real-time monitoring and performance assessment of non-programmable equipment, it can help businesses enhance their productivity, minimize downtime, and improve efficiency.

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