Operating Temperature:-40°C to +70°C
Data Acquisition Rate:Up to 1 kHz per channel
Power Consumption:≤ 15 W
Communication Protocol:Ethernet/IP, Modbus TCP/IP, OPC-UA
Number of Channels:16
Analog Input Range:± 10 V or ± 5 V
Resolution:16-bit
Storage Capacity:Up to 1 TB
Reliability Rating:IP65 / NEMA 4X
Introducing the SKF CMON4108 Multilog On-line System – IMx-16Plus, an indispensable tool for industrial facilities aiming to optimize their operations and extend equipment lifespan through proactive maintenance strategies. This system offers unparalleled real-time data acquisition and analysis, enabling users to monitor and control critical processes with ease.
Featuring 16 versatile channels capable of handling a wide range of input types, the IMx-16Plus ensures comprehensive coverage of monitoring needs, from temperature and pressure to flow rates and vibration levels. Its high-resolution 16-bit analog inputs provide precise measurements essential for accurate diagnostics.
Built with robust industrial-grade components, the system operates reliably in extreme environments, ensuring continuous performance even under harsh conditions. The integration of Ethernet/IP, Modbus TCP/IP, and OPC-UA protocols facilitates seamless communication with existing industrial networks, enhancing connectivity and interoperability.
With an impressive storage capacity of up to 1 TB, the CMON4108 Multilog On-line System – IMx-16Plus can store vast amounts of historical data, allowing for in-depth analysis and trend identification. This capability is crucial for predictive maintenance, helping users anticipate potential failures before they occur, thus minimizing downtime and costs.
Designed with user-friendliness in mind, the system offers intuitive setup and operation, complemented by advanced software tools for data visualization and reporting. Whether you’re managing a small plant or a complex industrial ecosystem, the CMON4108 Multilog On-line System – IMx-16Plus simplifies your monitoring efforts, empowering you to make informed decisions based on real-time insights.
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