Implementing Industrie 4.0 and Internet of Things (IoT) concepts is leading to a huge increase in the volumes of data in manufacturing plants. PC-based control technology forms a potent solution for processing this data, as manufacturers seek to meet the demands of optimizing manufacturing quality and efficiency.

Leveraging IIoT connectivity for virtual power plants requires high data speeds and quick response times. In this ecosystem, a key to the stability of the system is zero network downtime. 4G-LTE and now 5G technologies are helping build stable networks, so that they can connect to remote sites and assets.

The challenge for manufacturers of agricultural and construction machinery is how to implement intelligent semi autonomous machine functions quickly and maintain them long term. Working with a control system partner provides automation technology solutions similar to what is found in industrial manufacturing.

A Persistent Data Network (PDN) is a simple, secure and managed infrastructure communications network alternative for utilities. This consistent, always-on connection enables secure, cost-effective and managed access to remote equipment, whether it be for peer-to-peer or point-to-multipoint communications.

The exciting potential of the IIoT is to create bold new intelligent machines and vast distributed systems. The IIoT will change the world across many industries. The applications define the future: renewable energy, microgrids, wind power—along with cars that drive themselves, smart medical devices and hospitals.

The optimization of process integration initiative (OPI) is continuing to develop. FDI device packages required for Field Device Integration (FDI) are emerging. The result is that the EtherNet/IP protocol and FDI Device Integration standard is going to play ongoing, emerging role in the process automation industries.

KraussMaffei Technologies has implemented uaGate SI Gateway technology and the open, platform-independent OPC UA standard for its injection molding and reaction/extrusion systems. Automated machine condition monitoring has helped to boost production volume and avoid machinery downtime.