Digital service management through connected compressors

The compact Modbus Cloud Connect module for DIN rail mounting developed by grandcentrix is ideally suited for all ALMiG requirements. The solution is suitable for implementation in new machines as well as for retrofitting.

The benefits are manifold: they range from classic condition monitoring and asset management to the analysis and visualization of machine usage and capacity utilization to predictive maintenance.

The transparent recording of real-time operating data is essential to ensure and, if necessary, improve the energy efficiency of machines, e.g. by adjusting the rotational speed. Based on this data, ALMiG can perform complex calculations and prognoses: By analyzing and comparing data from identical machines, anomalies can be detected early and corrected via remote access or predictive maintenance before costly downtime or, in the worst case, production stoppages occur.

In the past, either the customer himself or an ALMiG technician had to check the machine on site. By optimizing the service processes, ALMiG can avoid unnecessary service calls and deploy service technicians in a targeted manner – an important aspect in times of a shortage of skilled workers.

ALMiG can demonstrate compliance and reduce the risk of litigation due to warranty claims, equipment failure or negligence by collecting and storing data on equipment usage and maintenance. For example, the data collected online is fed into an existing cloud platform called “COMPASS”. The in-house software serves as a digital plant logbook that also manages service cases, maintenance tasks and certificates.

The data from the compressors also provides ALMiG with important insights for the further development of its products – an invaluable advantage for continuous improvement and maintaining technological leadership. This promotes customer and brand loyalty in the face of international competition.

In order to lead the 100-year-old company into a successful future, ALMiG is working closely with the data science experts at grandcentrix to create the basis for product and service innovations.