Edge Intelligence for 6G‐Enabled Industrial Internet of Things

Integration of edge computing and cloud services creates an ecosystem that harnesses the Industrial IoT(IIoT) potential to enhance real-time monitoring and analytics capability. IIoT enables the integration of devices, machines, sensors, and actuators in an industry with an IoT framework. This enhances the performance of the industry by aiding in effective decision-making and preventive maintenance. Edge computing aids in data filtering, monitoring, and triggering for action at the industrial site; and cloud computing aids in storing data and performing data analytics for effective production and preventive maintenance. The synergy between cloud and edge aids in optimal performance. Digital Twins are used to simulate, remotely monitor, and analyze the IIoT entities in real-time. The steps involved are Data collection from sensors at the edge side, Edge Intelligence using ML Algorithms, Data filtering and aggregation, Digital Twin Integration, Edge Cloud connectivity, Real-time monitoring, Data Analytics, Preventive Maintenance, and Real-time decision-making. 6G Terahertz communication aids in connecting a massive number of devices and sensors with ultra-low latency, high reliability, and responsiveness. It also provides enhanced security and privacy features with highly accurate spatial detection and satellite integration. Digital Twin is used to virtually represent the physical asset of an IIoT system and is used for remote monitoring, predictive analytics and preventive maintenance. Blockchain technology can be used to store critical data from IIoT devices in a distributed digital ledger and is used to provide enhanced security in an untrusted environment with time stamping and integrity.