- Asset health management
- Predictive maintenance with root cause
Comprehensive condition monitoring hardware and IIoT software
Explore ifm's comprehensive asset health monitoring portfolio, featuring condition monitoring sensors, seamless connectivity for data transfer, and IIoT software.
Sensors for predictive maintenance
ifm’s maintenance sensors are designed to support predictive maintenance and condition monitoring strategies, enabling proactive detection of issues to optimize equipment performance and reduce unplanned downtime. The sensors monitor key parameters such as vibration, oil quality, temperature, pressure, and flow, providing real-time data to prevent machinery failures and extend asset lifespan.
Durable and easy to install, these sensors feature advanced IO-Link technology, allowing seamless integration into condition monitoring systems and providing valuable insights for predictive maintenance. With features such as high overload resistance, real-time data collection, and the ability to monitor environmental conditions, ifm's sensors help maintain the health of machinery and reduce maintenance costs.
moneo IIoT software platform
Our no-code IIoT platform seamlessly connects to a variety of industrial sensors, machines, and controllers. It provides a unified overview of your production environment. By collecting and analyzing this data, you have an overview of machine condition, process parameters, and environmental conditions for all of your machines.
Connectivity with IO-Link ecosystem
ifm provides a range of connectivity devices designed to seamlessly transfer data from sensors on the plant floor to cloud platforms. The IO-Link masters serve as gateways, connecting up to eight IO-Link devices such as sensors and I/O modules to an edgeGateway. This setup enables secure, remote connections to IT infrastructures and facilitates smooth data transfer to cloud platforms like ifm moneo.