Increasing efficiency, technical automation

For industrial automation, we rely on technologies and systems with our partners to automate, control and optimise industrial processes and operations in factories and production facilities. Our main goal of industrial automation is to improve the efficiency, accuracy, speed and safety of production processes, reduce human intervention and increase productivity. We achieve this by integrating computers, software, sensors, actuators, robots and other automated systems in the production environment.

Industrial automation has now become indispensable, especially in view of the changes in the wake of Industry 4.0. In this phase of economic change, which brings both new challenges and new opportunities, the automation of production and logistics processes is crucial in order to remain competitive and economically successful. BRO Engineering GmbH offers innovative automation systems to help you comprehensively automate your production facilities and compete in this evolving environment.

Here are some of our key concepts and technologies that we apply in industrial automation:

Programmable controllers (PLC)

The computers we use are based on special hardware and software to control and monitor machines and plants. We programme them to perform certain tasks autonomously.

SCADA systems (Supervisory Control and Data Acquisition)

These systems enable the monitoring and control of industrial processes in real time via graphical user interfaces. This also allows us to collect data for process monitoring and optimisation.

Robotics

We use industrial robots in a wide variety of production facilities to autonomously perform tasks such as assembly, welding, packaging and material handling.

Sensor technology

By using sensors, we can collect information from the environment and pass it on to control systems. This allows us to precisely control processes and monitor parameters such as temperature, pressure, humidity and position.

Automated production cells

These are our integrated systems of machines and robots that work together to perform production processes efficiently and without human intervention.

Artificial intelligence (AI) and machine learning

We use these technologies to identify patterns in big data and make predictions to further optimise production processes.