Condition monitoring systems
for mechanical engineering

Precise condition monitoring in Industry 4.0

The condition monitoring module is part of the shopfloor.io Industry 4.0 modular software system, which machine manufacturers can use to network their machines and employees via a custom-fit white label machine portal and visualize data collected by sensors quickly and clearly. Convince yourself of the many advantages of our precise condition monitoring systems.

Monitoring machines with the help of sensors

In condition monitoring, machine operating and status data is continuously recorded by sensors, analyzed and displayed in a cockpit. This continuous fine monitoring of the systems with the help of customized software has great advantages for machine manufacturers. On the one hand, the measurement providesprecise feedback about the machine and therefore quickly identifies anomalies in the system or in individual components. On the other hand, the information obtained using the sensors provides a data basis for further steps such as predict ive maintenance.

Precise fine monitoring of machines and systems

Various sensors for vibrations, temperatures or position/proximity, for example, record data about the machine during condition monitoring and thus enable precise fine monitoring throughout the entire system. The data recorded by the measurement can be called up at any time on any end device - in real time. The shopfloor.iocondition monitoring moduledisplays all relevant key figures and KPIs in clear dashboards. Intuitive operation provides the end user with the most important information at a glance.

Another positive aspect of the precise measurement of the actual condition of the machine (condition monitoring) is the increased safety. The detailed monitoring of the systems quickly detects anomalies and automatically triggers alarms. This makes it possible to react quickly to any faults and, for example, implement emergency shutdowns of the systems.

From condition monitoring to predictive maintenance

In the next step, which goes beyond traditional monitoring via condition monitoring systems, predictive maintenance can be used to create intelligent evaluations and predictive models for the maintenance and servicing of each machine. This allows machines and their components to be maintained proactively, downtimes caused by faults in the system to be reduced and overall equipment effectiveness (OEE) to be increased.

Detailed monitoring with the shopfloor.io condition monitoring module

With the help of the shopfloor.io condition monitoring module from elunic, machine manufacturers can network their systems and employees. Sensors send real-time data about machines and employees can view this quickly and easily in KPI dashboards. This detailed monitoring of the system enables predictive maintenance and servicing of systems and contributes to safety and occupational health and safety in the company with anomaly analysis, limit value settings and alarming.

Condition Monitoring Modul-Features

Further shopfloor.io modules: