Book Image

Industrial Internet Application Development

By : Alena Traukina, Jayant Thomas, Prashant Tyagi, Veera Kishore Reddipalli
Book Image

Industrial Internet Application Development

By: Alena Traukina, Jayant Thomas, Prashant Tyagi, Veera Kishore Reddipalli

Overview of this book

The Industrial Internet refers to the integration of complex physical machines with networked sensors and software. The growth in the number of sensors used in industrial machinery has led to an exponential increase in data being captured for predictive analytics. Industrial Internet Application Development is a practical guide for developers who want to create applications that leverage the full capabilities of IIoT. You will get started by learning how to develop your first IIoT application and understanding its deployment and security. Once you’re familiar with what IIoT is, you will move on to exploring Edge Development along with the analytics aspect of the IIoT stack. In later chapters, you’ll get to grips with the deployment of IIoT applications on the Predix platform. As you cover these concepts, you’ll be able to identify key elements of the development framework and understand their importance while considering architecture and design for IIoT applications. By the end of this book, you will have the skills you need to deploy IIoT applications on the Predix platform and incorporate best practices for developing fault-tolerant and reliable IIoT systems.
Table of Contents (13 chapters)
Free Chapter
IIoT Fundamentals and Components
Future Direction of the IIoT

IIoT business use cases and analytics

In this section, we will discuss some of the IIoT use cases and the analytics needed for measuring the outcomes. Some of them are common and are used across industries including mining, aviation, oil and gas, power, healthcare, and semiconductors, and can be broadly classified into areas such as asset performance, operations optimization, and supply chain management.

In general, enterprises measure the performance of plants and run them efficiently by monitoring the health of the equipment, as well as business needs and targets. The following are some of the measures that provide an ability to get an insight into plant performance and efficiency:

  • Asset reliability and availability
  • Monitoring mission-critical events
  • Reducing unplanned downtime
  • Optimization of the manufacturing process
  • Optimization of fleet operations