IO-Link vibration monitoring
Precise 3-axis measurement
The 3-axis MEMS technology offers precise measurements in all directions (axial, vertical, and
horizontal) from a single position.
Durable, maintenance-free design
The sensor’s robust stainless steel housing is maintenance-free, with a self-test function,
replaceable cable via an M12 connector, and an LED for device status monitoring.
Advanced condition monitoring
The integrated unbalance and bearing analysis feature, accessible via IO-Link, allows continuous
condition monitoring, detecting fatigue, friction, impacts, and temperature.
moneo IIoT devices
IIoT devices for data transfer and Cloud integration
IIoT devices are
essential for transferring data from sensors on the plant floor to the cloud.
These devices
include Ethernet field modules (IO-Link masters), which connect sensors, valves, and I/O modules to
an edgeGateway, providing secure communication to cloud platforms like ifm moneo Cloud, Microsoft
Azure, or AWS IoT Core.
The edgeController offers integration of system infrastructure with
IT, enabling cloud connection, visualization, or control functionalities. These devices ensure fast
integration, scalability, cybersecurity, and flexibility for both cloud and on-premises use.
Bluetooth connectivity
Secure wireless connection to sensors, masters, and connected devices.
What if you could access parameters, process values, and sensor diagnostics right
from the palm of your hand at the machine level?
ifm’s Bluetooth plug and the
moneo|blue app enable easy sensor replacement and parameterization without the need for a
laptop or computer.
Visualize process values for all devices connected to the same IO-Link
master, enhancing your ability to monitor and manage your system seamlessly.
moneo Cloud software
moneo IIoT core is a versatile software platform that supports seamless deployment either in the cloud or on-premises. It provides essential functions such as parameterization, data collection, visualization, and monitoring.
The platform enables quick setup for predictive maintenance and condition-based
monitoring to prevent unplanned downtime, empowering data-driven decision-making.
An additional feature, the Industrial AI Assistant, offers advanced AI-driven insights into machine
and process performance through automated analysis. It enables intelligent anomaly detection and
predictive analytics, supporting daily operations with an intuitive interface.
As a no-code
solution, moneo IIoT connects effortlessly to various industrial sensors, machines, and controllers,
providing a unified view of production environments and enabling real-time monitoring of machine
conditions, process parameters, and environmental factors.
Oil quality
Water ingress in oil can lead to plenty of different issues within applications such
as corrosion or wear of components, cavitation of pumps, poor filterability of oil or deterioration
of the viscosity.
Particle monitoring is the most effective real-time monitoring for
safeguarding oil systems and detecting mechanical wear. This technology enables users to assess the
effectiveness of filtration systems and track wear originating from equipment.
Precise
measurement
The LDH sensor accurately detects the moisture content and temperature of the
oil. This real-time data allows for proactive maintenance.
Easy installation
Thanks
to its standardized 1/2" NPT process connection and M12 electrical connector, the LDH1xx can be
quickly integrated into existing systems.
IO-Link technology
The sensor
communicates seamlessly with IT-based condition monitoring systems, providing valuable insights for
predictive maintenance.
Durable housing
The durable (IP69K) compact sensor has a
stainless steel housing, making it resilient in harsh operating environments.
IO-Link Master (A ports)
A gateway, or bridge, between smart IO-Link enabled devices and your control
system.
The DataLine master is the best choice for data collection and futureproofing your
machine with IIoT capability.
What if you could reduce machine complexity, increase capability, and save both
time and costs?
ifm’s field-mountable IP67/IP69k IO-Link masters leverage existing
communication in many sensors to increase accuracy, reduce build time, and minimize the number of
required devices.
Flow
Early detection of issues through flow monitoring
By analyzing flow
data of liquids or gases within machinery, abnormalities such as blockages, leaks, or irregularities
in pressure can be detected early, allowing for timely intervention before a failure occurs. This
proactive approach helps reduce unplanned downtime, optimize maintenance schedules, and extend the
lifespan of assets, ensuring more efficient and cost-effective operations.
Pressure
Prevent equipment failures with pressure monitoring
Unusual pressure
changes, such as drops or spikes, can signal potential issues like leaks, clogs, or wear and tear.
By continuously monitoring pressure, these problems can be identified early, enabling timely
maintenance before they lead to costly breakdowns. This proactive approach helps optimize the
performance of assets, reduce unplanned downtime, and extend the life of machinery, ensuring
smoother and more reliable operations.
