Role of IoT in Industry Predictive Maintenance

Abstract

The notion of the Internet of Things (IoT) refers to the eloquent networking of smart gadgets over the network of the internet. Industries/organizations are now experimenting with various ways of predictive maintenance, such as a way of cutting down the expenses and minimize the intervals between maintenance procedures. Because they can combine data from many machines and production systems, IoT platforms are useful support for predictive maintenance. The communication framework is the biggest barrier in integrating production systems with IoT specialized platforms, as most routing protocols of industrial communication are inconsistent for using newer communication routing protocols employed on IoT platforms. A broad overview of current PdM concerns is given in this work, with the goal of better understanding of advantages and disadvantages, difficulties, and scenarios of the concept of dynamic maintenance. This is accomplished by doing in-depth research and analysis of scientific and technical publications. On this foundation, this chapter addresses some key research concerns that must be solved in order for IoT-enabled PdM to be developed and used successfully in industry. A case study is also discussed partly for establishing the viability of suggested technology for enabling persistent assessment of high-end machines via battery-enabled IoT equipments. The deployed test bed, which is made up of 33 devices that gather data through IoT. This interprets data from temperature analysis and vibration assessment activities, especially for 2 months. The evaluation of data transfer delay and prediction of working life with the aid of power consumption.