Digital transformation

Digital transformation affects us all

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Sensors

Data makes it all possible

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Machines

Digital industrial automation, safe and protected

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Operations

Transparency and efficiency with digital solutions

more
Digital transformation
Sensors
Machines
Operations

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Digital transformation

Digital transformation affects us all. The changes digital technologies are making to society as a whole are an ongoing process. Industrial companies are facing enormous opportunities, which at the same time represent major challenges. Examples of these are networked and highly efficient production processes and new digital business models resulting from the fusion of the operational manufacturing level with the IT level. You are not alone.

Sensors – data makes it all possible

The basis for digitalization or an I4.0 solution in industrial environments is data. This data is generated in machines and plants by means of sensors. Intelligent sensors from SICK can generate this data and pre-process it if necessary, meaning even more valuable information is generated from it. Artificial intelligence, which is growing in importance in industrial automation, offers the possibility of solving more challenging tasks and adapting quickly to changing conditions.

Machines – digital industrial automation, safe and protected

A high degree of automation characterizes digital transformation and the machines and plants it involves. Automatic guided vehicle systems (AGV systems/AGCs) are used to move manufacturing goods between machines, warehouses, the shipping department, etc. Robots are used to load and unload machines automatically or to work in collaboration with workers in individual production steps. In addition to the pure automation functions, personal safety also plays an important role here.

Operations – transparency and efficiency with digital solutions

With data come solutions. Digital services and software solutions are based on the sensor data. Thanks to their use on the shop floor, meaning in direct production environments, the individual process and manufacturing sequences become transparent and can then be optimized. The goal is to make your production processes more efficient and reduce downtime, therefore saving costs.

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