Use Cases

Automated robots with heterogeneous networks foresees the use of 5G-enabled multi-task automated robots in future smart factory production lines or warehouses connected via Smart IoT gateways, targeting the so-called tactile internet where sensors and actuators have to synchronously work with latencies of a few milliseconds. The interoperability with wired Time Sensitive Networking (TSN) environments is also addressed within this use case

Improved driver’s safety with Mixed Reality and haptic solutions enables remote control transportation of goods with Automated Guided Vehicles (AGVs) thanks to tactile internet, edge computing and immersive enablers (Mixed-Reality (MR) engines, haptic gloves) so that employees will be safe, away from hazardous working locations such as fuel port terminals

Transportation platforms health monitoring demonstrates that asset health tracking can lead to lower operational costs and higher asset availability with new data-based service provided by low-power edge distributed network and intelligent sensor modules installed in the transportation platforms. Privacy of sensor data and software updates dependability will be guaranteed with LoRa blockchain, componentised OS with tile-based HW architecture

Inter-modal asset tracking via IoT and satellite technology aims to provide End-to-End (E2E) intermodal asset tracking with satellite connectivity for enabling enhanced real-time monitoring of shipping containers when sailing through oceans without connectivity to terrestrial IoT networks. Smart IoT gateways will be installed allowing interoperability between heterogeneous IoT tracking devices.

Situational understanding and predictive models in smart logistics develops analytical and predictive models to estimate and optimise truck turnaround times for optimising the access and reducing the wait for vehicles at the port accesses, leading to corresponding savings on direct costs for carriers. Data will be collected from Broadband IoT cameras, Massive IoT sensors, trackers, PCS and AIS at the edge for data fusion and analytics

Supply chain ecosystem integration overcomes the absence of a virtual interoperability IoT and DLT layer that will be capable of securely and semantically exchanged information flows allowing to virtually access, manage, and deliver data along multiple IoT and DLT platforms.