Industri 4.0, Industrie 4.0, Industry 4.0 and the fourth industrial revolution. We find many names for those we love. The terms are a collective name for most technologies and concepts in automation, manufacturing and process industrial IT with a connection to the Internet of Things (IoT). The purpose of Industry 4.0 is for each product in the production chain to carry information about where it is going and how, to lead the factory to organize itself. The goal is production with shorter adjustment and lead times, fewer errors, more flexibility and without time-consuming programming
Industrial Internet is a term invented by GE together with several large US-based companies to form a vision around digitalization for the next 20 years.
Siemens did the same thing in Germany together with, among others, the German state and a number of companies. The initiative was named Industrie 4.0 and is basically the same, but with a more European focus on manufacturing.
The basic goal is to collect data from machines and then analyze it and show it to users who can make better decisions. Industrial Internet is a bit more equipment and "fleet focused" while Industry 4.0 is more overall manufacturing focused. The name Industry 4.0 comes from the three previous industrial revolutions in everyday speech, first the steam in the 19th century, electricity in the early 20th century and then computers in the 1970s.
What can Industry 4.0 give you?
The value it provides can come in many forms but the most crucial is mobility. The ability to look, analyze and act no matter where you are gives you huge time savings. This alone is predicted to yield countless billions in rationalizations. The next step is to use the data collected and see patterns between machines, people and systems and make conclusions about this. This is often called BIG DATA and can also result in big profits. This could, for example, be about analyzing the optimized way of driving a train on a track and then giving advice to the train driver. The last part is about sharing - but not between people. When you allow the systems and machines themselves to make conclusions and change and upgrade, the speed of change will accelerate somewhat enormously. A simple example is that perhaps your connected washing machine knows when the costs for electricity and water make it optimal to wash. Sounds strange today but will be a reality in a few years.
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