A Practical Framework To Turn IoT Technology Into Operational Capability
These assets or“ things” typically have instrumentation or sensors that collect operational data and information. Plant transformation and orchestration capabilities to not only integrate but also process and transform the near real-time
Figure 2- I2OC( IoT to Operational Capability) framework
historians or time-series databases are often used to aggregate this operational data. The framework can be adapted to cater to the specific infrastructure in an organization. The industrial assets and data sources represent the big data component where the raw data is collected and streamed or stored before it is integrated into a business use case or application.
An enhanced integration approach is central to the framework. The integration“ middleware” acts as the centralized integration library that contains OT, IT and business application integration components. This middleware is enhanced with event stream processing( ESP), data data from the industrial assets before it is integrated into existing and new business workflows.
Gartner refers to this type of real-time integration and processing capability as Operations Intelligence platforms 14 that use standard adapters to read and write information from different devices, systems and applications. The level of processing capability differs among the different types of operations intelligence platforms, but it typically includes the ability to stream or poll data from real-time systems, perform some level of event stream processing and orchestration before integrating the processed data back into operations. This
14 https:// www. gartner. com / doc / 3540217 / market-guide-operations-intelligence-platforms
IIC Journal of Innovation- 37-