Decentralized Edge Computing
Unique embedded AI and real-time edge processing without cloud storage
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Fast, Reliable, Secure
Decentralized Edge Computing
Unique embedded AI and real-time edge processing without cloud storage
.
Fast, Reliable, Secure
Sovereign Data Ownership
Guaranteed on-premise data storage with no vendor lock-in
Your Sensors, Your Data
Effortless Interoperability
Includes embedded OPC UA server, MQTT client, and extensive export options
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Seamless Backend Integration
Built-in Dashboards
All sensors have fully functional dashboards, accessible online and offline via any browser
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Operational In Moments
iQunet provides off-the-shelf products for your digitalization projects, enabling quick and efficient rollout of your monitoring solutions. iQunet offers sensors, sensor management, edge computing, and on-premise data storage, ensuring seamless interoperability with your backend systems and unparalleled ROI
iQunet provides a complete range of sensors for condition and asset monitoring that can be combined in unlimited ways. Or even connect to your already installed devices for collecting valuable data in one Edge Monitoring System
iQunet offers an all-in-one system, that requires no programming knowledge to operate.
The iQunet Edge Server manages on-premise a comprehensive range of iQunet sensors. The local stored data – in the Edge – is seamlessly transferred into SCADA, data lakes, MES, or other enterprise applications via the embedded OPC UA server and browser, even if your organization has multiple sites worldwide.
Unlike automation sensors that operate in real time to control machines, condition monitoring sensors are designed for long-term asset tracking through regular measurements. For monitoring the condition of motors, pumps, and bearings, one or a few measurements per day are typically sufficient. These sensors sample during a short period (a number of seconds) at high frequencies (kHz) and, when used with iQunet AI, are ideal for predictive maintenance applications.
For sensors that track assets or environmental parameters—known as asset monitoring (e.g., temperature in cold storage, airborne dust particles in work places, meter readings, energy consumption)—one sample every few minutes is more than adequate. Alternatively, to increase accuracy, sensor data sampled at low measurement frequencies (Hz) can be aggregated into a single data point, depending on the sensor capabilities.
Request an online live demo or ask any questions to learn everything you need to know about iQunet’s comprehensive sensor offering, about iQunet’s secure on-premise Edge computing solution, and how we embed AI for asset and condition monitoring.