IoT enabled industrial fault monitoring and prediction

Abstract

Abstract Automation is now heavily used in the industry. Human effort is much reduced by implementation of an automation system that monitors and signals system faults that may arise. The number of devices that can be connected to the Internet of Things (IoT) is growing every day. With the aid of the IoT model, a hardware prototype will be developed that will automatically monitor industrial parameters such as humidity, temperature, fire, smoke, pressure, and sense motion, as well as generate alerts and alarms. Each parameter is continuously monitored using an application called Blynk. This proposed work will use IoT to provide information remotely about the current weather and gas concentrations in the plant via email. The collected information can also be used for predictive analysis. The idea behind this proposed work is to accumulate and visualize data about the various parameters utilized in industries by enabling IoT.