Condition-based Monitoring of Machines Using IIOT

Abstract

Industry which operates on huge number of electrical drives needs continuous monitoring of critical parameters due to the vastness of operations to be carried out, manual monitoring becomes strenuous and requires large man power. The first industrial revolution led to steam power engines and the second revolution led to use of steel and electricity. In late 1950’s a third industrial revolution began to emerge as electronics and computing technology was incorporated to the industries. A shift happened from analog mechanical technology towards digital technology and automation. Industry 4.0 is the result of an ongoing fourth industrial revolution. Industry 4.0 uses cloud computing, Internet of Things, Artificial Intelligence, Data science, Big Data and Machine Learning. Here in our project, we use Industrial Internet of Things with different IO link sensors, IO link master, Ethernet for LAN connection, Kepserver, Thingwork to create cyber physical system for monitoring temperature and level of hydraulic actuator to achieve this we use IO link sensor wherein sensor performs data collection of the temperature and level of lubrication tank. The data collected by IO link sensor are then forwarded to IO link master which is then gathered at Kepserver through ethernet. Finally, the dashboard provides data visualization of complex data. This system enables real time data access so if any deviation from the safe operating condition occurs then it is reported to the control room for immediate action. Thus, using condition-based monitoring of machines using IIOT mishaps in industry can be avoided preventive maintenance can be perform, natural life of machines can be prolonged, overall labor cost can be reduced, profit margin can be increased and quality of product enhanced. The data which is stored on cloud can be used for future analysis and betterment of the system. Different protocol can be used in similar way to achieve a cyber physical system.