Simulation and demonstration for the next generation of IIoT
Based on realistic performance indicators derived from real-world situations across various verticals, the IIoT Lab includes a series of Edge-Cloud replicable mobile demonstrators based on fortiss software (TRL2-7) that address industrial operational problems such as intelligent data aggregation at the edge to reduce latency or integrating brownfield devices into complex IoT platforms to improve data sharing across the Edge-Cloud continuum.
The Lab includes several open, networked demonstrators that provide an end-to-end perspective on mechanisms useful in the context of IIoT. These include mechanisms such as automated integration of brownfield devices via semantic technologies, deterministic wireless/wired industrial infrastructures, dynamic open-source systems to automate the provisioning, scaling, and management of microservices, and data-centered architectures that can support faster and more energy-efficient data transmission.
The IIoT Lab's activities include research across the Edge-Cloud continuum, with a particular focus on the "Far Edge" where mobile devices and new end-to-end industrial applications are evolving.
The IIoT Lab comprises open-source solutions and is based on open standards. The Lab integrates diverse embedded hardware, deterministic networking equipment, and mobile robots. In terms of software, the Lab integrates open solutions such as MQTT, OPC UA, Web of Things components, Kubernetes and also advanced solutions such as Information-centric Networking.
