Glossary Updates12 new terms added to the glossaries · October 2, 2026, 22:44 CEST
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Glossary · IIoT, data and AI

moneo IIoT platform

Also known as: moneo, ifm moneo

German: moneo IIoT-Plattform

moneo is an IIoT software platform from ifm electronic for collecting, visualizing and analyzing sensor and machine data, used mainly for condition monitoring and maintenance applications. It connects in particular to ifm sensors and IO-Link masters.

  • IIoT
  • Vendor product

In one sentence

moneo is ifm's IIoT software platform for collecting, visualizing and analyzing sensor data, mainly for condition monitoring.

Example

A maintenance team connects vibration sensors on pumps via IO-Link masters to moneo and sets warning thresholds that trigger notifications.

How it applies

  • Engineering: Platforms like moneo let maintenance teams connect sensors and set up dashboards and thresholds without changing the machine's PLC program.
  • Operation: Define who reacts to notifications and how findings flow into the maintenance system, otherwise alerts accumulate without action.
  • Documentation: Document which sensors and data points are connected, the configured thresholds and the response procedure. When a machine documentation refers to such a platform, name the version it was written for.

Platform vs. condition monitoring method

moneo is a software product; Condition monitoring is the method. The benefit depends on selecting the right measured quantities and limits for the failure modes of the machine, not on the platform alone.

Keep in mind: Product names, editions, modules and features change. Check the details against ifm's current documentation before describing them.

By knowledge.aitechdoc.world · Published September 26, 2026 · Last reviewed

Source: AI TechDoc Knowledge editorial definition, based on ifm electronic product information

Definitions follow the cited standards and specifications. Where a source is a copyrighted publication, such as an ISO, IEC or EN standard, the definition is a close paraphrase, not a verbatim quotation, so as not to infringe copyright. We recommend reading the original publication. The sections “How it applies” are editorial commentary by AI TechDoc Knowledge and are not part of any standard.

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