URLLC

The use case contributes to the efficiency of FoF operations through research and development on a Network App which provides industrial 5G connectivity for those IoT and M2M devices, assuring them required QoS with the help of integrated SLA/SLS monitoring capabilities as part of the Network App.

The use case employs computer vision software to detect whether or not Personal Protective Equipment (PPE) such as safety helmets and safety glasses are worn by employees and provides a near real-time warning signal directly to the control room safety officer when any element of PPE equipment is not detected.

The use case is based on the scenario where a local worker within a factory and a remote expert helping the worker can be informed of the different degradations of the network and adapt their behaviour during the remote assistance call. In case of network congestion due to a high number of users entering a given location, the Network Application developed for this purpose can autonomously suggest disabling heavy data transfers such as sending 3D models or their real-time synchronisation between users.

Use case targets 5G network performance and coverage monitoring - data collected through monitoring of the 5G network serve as a key factor in a continuous process of network optimisation, thus assuring the required (high) level of QoS and QoE for the industry/business process to run properly. 

The increase in accidents inside industrial infrastructures in recent years is a crucial problem for the industrial sector. Collisions involving forklifts and humans due to limited visibility at corridor intersections can be eliminated by utilising real-time movement monitoring in conjunction with a sophisticated collision prediction algorithm.

Nowadays, AGVs at Ford premises only perform some indoor functions, guided through lines. Specific needs, though have been identified for connectivity and modernisation of the AGVs fleet that would allow optimising some of the processes of the logistics distribution chain for items, among and within the factory's warehouses and between these and the suppliers' warehouses.

PPDR day-to-day operations require on-demand but scheduled provisioning of network coverage and the enablement of mission-critical services even in areas lacking public network coverage. Int5Gent proposes a solution of ad-hoc automatic deployment of 5G access network segments -namely the gNB and the MEC - dedicated to the PPDR sector at a compact server (an edge box as portable IaaS) as an extension of the public network. The solution also includes the deployment/ configuration of the necessary transport network resources based on a resilient mm-Wave mesh transport network. On top of this, quick and automated deployment of reliable PPDR services in this case being drone-based real-time video streaming services using cloud native principles and AI-based edge processing.

In this use case, vertical services will offer a view of the physical railway infrastructure state to facilitate the monitoring, maintenance and eventually the safety operation in an easy-to-use tool that could support decision-making.

Controller to trigger the handlers to interact with the underlying technological domains in service requests.

Anticipatory capacity allocation with hybrid statistical-learning methods.