Smart Manufacturing

The exhibition halls will in future become a real laboratory for industry 4.0

Smart Manufacturing

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Deutsche Messe AG becomes accelerator of industry 4.0

5G will enable multiple applications on the Internet of Things (IoT) in the first place, and self-connect 50 billion devices (in the next 10 years) from different contexts and exponentially increase them

Latency times of up to one millisecond and a reliability of 99.999% also make the vision of Industry 4.0 a reality: fully flexible, self-connected, autonomous production. This has a direct impact on people in almost all areas of life

Hanover offers an adventure park for industry 4.0

The Smart Venue in Hanover offers countless application examples
  • machine to machine communication
  • product to machine communication
  • advanced robotics
  • Sensor technology, Measurement technology, Machine vision
  • driverless transport systems
  • augmented reality uses
  • human-machine-interaction
  • industrial internet of things
  • industrial connectivity devices and services
  • Evolution of data-driven business models & cyber security

Muster Messehalle Roboter

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Creation of a business incubator and coworking spaces

Startups get the chance to network and work in the incubator. KMUS, on the other hand, will use the coworking spaces and act as system integrators.

Around the new 5G technology, a new eco-system is being developed. Young as well as small and medium-sized companies are given the opportunity to develop and test their 5G services and applications under real conditions and to demonstrate them to potential customers.

5G will significantly accelerate the evolution of data-driven business models in industry

The large amounts of data generated by the advanced production management systems provide companies with valuable information on how to optimize their value creation and production processes.

Data acquisition, storage and analysis will be important business areas of the future and aspects of cyber security will also gain enormous importance for companies.

 

Predictive Maintenance

The real-time processing of process and machine data makes it possible to make forecasts that form the basis for needs-based maintenance and consequently the reduction of downtimes.

A great difficulty in dealing with predictive maintenance is the processing of the huge amounts of data. In order to make reliable statements about the condition of machines and plants and thus be able to record expected malfunctions as quickly as possible, it is necessary to collect large amounts of data. These must be stored, processed and analyzed using intelligent algorithms.

Due to the huge amount of data, techniques and databases from the Big Data environment, such as Edge Computing, are particularly suitable for predictive maintenance.

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interested?

The Smart Venue in Hanover has aroused your interest and you want to test many new applications of the industry 4.0?

Then get in contact with us.