Implementation of Industrial IoT Laboratory for Sensors

Abstract

Manufacturing industries have seen great advancements in terms of technology upgradation, new materials, machines, and instrumentation which has resulted in obtaining better performance. However, even today, industries are running hard to achieve zero defect, minimum down time and settling time because of critical process parameters involved in the industry such as pressure, temperature, vibrations, position, fluid-flow rate, rotation, etc. These variations could be consequences of various elements across the system including men, machine, material, or environmental conditions. Most of the operations in industries are sensor based. Any variation in the operation of the sensor could lead to serious performance issues. To solve these problems encountered in industries, it is essential to prepare and train young engineers at institute level about the characteristics and applications of sensors. This is possible with development of Internet of Things-based sensor laboratories in engineering institutes. In this paper, an attempt has been made to demonstrate IoT based intelligent approach to the laboratory at institute level that mimic industry, so that knowledge transfers about sensors, IoT, AI and ML areas are provided to focus future needs of the industrial growth as a part of Industry 4.0 implementation in manufacturing.