Retrofitting refers to the modernization of existing machines and equipment to improve their performance, extend their lifespan, or adapt them to new requirements. Advanced technologies are integrated into existing systems, eliminating the need for new purchases. The significantly lower costs associated with retrofitting compared to acquiring and commissioning new equipment make retrofitting particularly attractive.

Retrofitting for machine data acquisition

Retrofitting can be particularly useful for machine data acquisition (MDA). Many older machines lack the necessary functionalities to automatically capture and transmit data. Retrofitting involves adding sensor technologies and connectivity components to such systems. These enable the determination of production and consumption quantities, as well as production and downtime, with real-time transmission to existing operational systems.

Eine Komponente mit dem Selfbits-Logo wird im Rahmen eines Retrofitting an einer Maschine nachgerüstet.

Specifically, on a machine, completed production cycles or produced components, as well as consumption measured by attached sensors, can be detected, measured, and counted. Additionally, process data such as temperatures can be collected, allowing for conclusions about product quality. In other cases, signals from switches or indicator lights are captured and evaluated. The measured values are then transmitted to a modern data processing system via interfaces.

Thus, retrofitting enables continuous monitoring of machine status and order progress, early detection of faults, and preventive maintenance measures. The analysis of the collected data allows for the identification of problems and optimization potentials. In particular, it is possible to improve product quality, increase availability, reduce downtime, minimize defects, and enhance production efficiency. Key performance indicators such as Overall Equipment Effectiveness (OEE) can be displayed in real-time.

Overall, machine retrofitting for machine data acquisition provides a cost-effective solution to drive digital transformation in production. Companies benefit from improved equipment performance, increased productivity, and the ability to make data-driven decisions, ultimately contributing to enhanced overall efficiency.