Industrial internet of things - WikipediaThe Industrial Internet of Things IIoT refers to interconnected sensors, instruments, and other devices networked together with computers' industrial applications, including manufacturing and energy management. This connectivity allows for data collection, exchange, and analysis, potentially facilitating improvements in productivity and efficiency as well as other economic benefits. The IIoT is enabled by technologies such as cybersecurity, cloud computing, edge computing , mobile technologies, machine-to-machine, 3D printing, advanced robotics, big data, internet of things , RFID technology, and cognitive computing. IIoT systems are often conceived as a layered modular architecture of digital technology. The network layer consists of physical network buses, cloud computing and communication protocols that aggregate and transport the data to the service layer , which consists of applications that manipulate and combine data into information that can be displayed on the driver dashboard. The top-most stratum of the stack is the content layer or the user interface.
Industrial internet of things
For example, Principles and Applications published by Elsevier, inline inspectio. What is Geospatial Technology. Song has edited and authored several books in the fie. Examples Of Large Smart Cities.
Customization of vehicles is also enabled by IIoT due to the modularity and connectivity of this technology! I can unsubscribe at any time. Share this Title. Further, the storing process can also be improved with the implementation of IIoT by collecting and analyzing real-time data to monitor inventory levels and hhings control.
Enterprise Information Architecture for a New Age
Internet of Things and Big Data: How they work
Break through the hype and learn how to extract actionable intelligence from the flood of IoT data. This book targets developers, IoT professionals, and those in the field of data science who are trying to solve business problems through IoT devices and would like to analyze IoT data. IoT enthusiasts, managers, and entrepreneurs who would like to make the most of IoT will find this equally useful. A prior knowledge of IoT would be helpful but is not necessary. Some prior programming experience would be useful. We start with the perplexing task of extracting value from huge amounts of barely intelligible data.