The Smart Venue in Hanover offers countless application examples and becomes an experience park for Industry 4.0
- Machine to machine communication
- Product to machine communication
- Advanced robotics
- Sensors, measurement technology, machine vision
- Driverless transport systems
- Augmented reality applications
- Industrial Internet of Things
- Industrial connectivity devices and services
- Evolution of data-driven business models & cyber security
Thanks to digital networking, processes in manufacturing plants and logistics systems are highly automated and self-organised.
This requires a high-performance mobile network, whereby various production machines, plants, vehicles and industrial robots are connected with each other.
This makes production and logistics processes more efficient and flexible. This is possible because, due to the high bandwidth with 5G, enormous amounts of data are transported, evaluated and executed in real time.
Real-time processing of process and machine data makes forecasts possible, which form the basis for needs-based maintenance and consequently the reduction of downtimes. It is necessary to collect large amounts of data.
This data must be stored, processed and analysed with the help of intelligent algorithms.
Due to the huge amounts of data, techniques and databases from the big data environment, such as edge computing, are particularly well suited for use in predictive maintenance.
The large amounts of data, generated around the further developed production management systems, provide companies with valuable information on how to optimize their value creation and production processes.
Data collection, storage and analysis will be important business areas in the future and aspects of cyber security are also gaining enormous importance for companies.