Agriculture-to provide for connected farms that can do things such as even tell the farmer when the cow is coming into season.
Aerospace, to be used in un-mapped vehicles in air such as drones and airplanes or to manage airports.
Automotive, for connected or autonomous cars.
Energy systems for things like renewable energy, smart homes, smart grids, and distributed energy resources.
Healthcare systems such as connected healthcare, things like insulin pumps and medical imaging but also including the newest up and coming robotic surgeries.
Manufacturing, connected factories that are offering data and safety information.
Oil and gas exploration and connected refineries.
Transportation and travel, where it is used by buses, hyper-loops, trains, subways, parking structures.
Typical IIoT systems mean that you have to share the data and information between multiple different devices. This means that it must be available and used between multiple devices and across multiple networks. From the edge (sensors, remote devices and computers) to the cloud (centralized computer systems) the data must be able to flow everywhere.
That’s a challenge not only due to the connections and the security but because of the vast array and the massive volume of the data. It can easily overwhelm a network, particularly one that encompasses very remote operations. “These interconnected systems require new ways to manage increased data volume, performance requirements, security risk and safety certifications.”
What’s your take on autonomous parking, vehicles, logistics, supply and manufacturing?