- 1.1 Introduction
- 1.2 Instrumentation
- 1.3 Process Models and Dynamic Behavior
- 1.4 Redundancy and Operability
- 1.5 Industrial IoT and Smart Manufacturing
- 1.6 Control Textbooks
- 1.7 A Look Ahead
- 1.8 Summary
- References
- Student Exercises
1.5 Industrial IoT and Smart Manufacturing
The terms Industry 4.0 and smart manufacturing are frequently used to describe efforts in the manufacturing industries to make better use of data and mathematical models to make manufacturing operations more efficient. As the Internet has had a tremendous impact on our ability to access data and communicate for personal applications, industry is benefiting from a similar Industrial Internet of Things (IIoT).
Manufacturers can now keep better track of the status of raw materials being delivered to their facilities as well as products being shipped to warehouses or directly to consumers. Industry 4.0 and smart manufacturing techniques seek to make it easier to use data to improve manufacturing performance. For example, a chemical process engineer might wish to download data from a plant historian (database of plant data), use the data to develop a model, and perform an optimization to determine better operating conditions. In the past, this process required a significant effort because each part of the system used different data formats, and the software packages did not “talk” to each other. A goal of smart manufacturing is to have a transparent framework to better integrate each of these components.