The Industrial Internet of Things (IIoT) is the use of Internet of Things (IoT) technologies in manufacturing. It features the interconnection of systems throughout the manufacturing process. This involves utilizing tools such as sensors and cloud computing to connect the entire production. The goal is to generate data analytics and gain a deeper insight into the manufacturing facility or entire industry.
The IIoT incorporates machine learning and big data technology, harnessing the sensor data, machine-to-machine (M2M) communication and automation technologies that have existed in industrial settings for years. The driving philosophy behind the IIoT is that smart machines are better than humans at accurately, consistently capturing and communicating data. This data can enable companies to pick up on inefficiencies and problems sooner, saving time and money and supporting business intelligence efforts. In manufacturing specifically, IIoT holds great potential for quality control, sustainable and green practices, supply chain tractability and overall supply chain efficiency.
Some of the examples of Industrial Internet of Things application shared by Libelium, Internet of Things, Smart Cities and M2M platform provider, wireless Sensor Networks hardware manufacturer are
Other examples are smart dust, drones, futuristic farming , aerospace and energy networks. It is interesting to see that industries uses IoT to reinvent themselves and their products. Whether its software or machinery, they are certainly building platforms to develop their capabilities to the next level.
Source : Internet of things Agenda , Libelium