Industry 4.0

The use case reflects the functionality of the final prototype of the Network App, which is a teleoperation task where a TIAGo robot needs to perform a pick-and-place task while being teleoperated remotely due to the risks of the environment or of the objects to be manipulated.

The use case describes a small-scale factory production line that was created and programmed to perform a sequence that simulates a factory operation which requires the coordination of multiple devices to perform a task.

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 scenario targets the chatbot-assisted maintenance procedures that are being performed in the premises of a factory environment.

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.

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.

Automated guided vehicles (AGV), used for warehouse logistics, controlled and monitored over a 5G network infrastructure.

Digital tutorials and remote support through high-definition videos and live connections to remote technical offices