Siemens 3RW4900-0KC00 Communication Module for Soft Starters

Product Description / Overview

The Siemens 3RW4900‑0KC00 is a dedicated communication module for SIRIUS 3RW44 soft starters.
It enables seamless integration of soft starters into industrial networks for remote monitoring and diagnostics.

Moreover, this module allows real-time parameterization and control, enhancing operational efficiency and predictive maintenance.
In addition, the compact plug-in design saves space and simplifies installation inside control cabinets.

Industrial-grade robustness ensures reliable operation across wide temperature ranges, making it ideal for complex automation environments.
Therefore, it provides transparency and control for processes requiring precise motor management.

Technical Data / Specifications

Product Type: Communication Module (SIRIUS soft starter accessory)
Series Compatibility: Siemens SIRIUS 3RW44 soft starters
Supported Protocols: PROFIBUS DP standard; optional Modbus/other fieldbus

Interface Type: Plug-in module
Functions: Parameterization, monitoring, diagnostics, remote control
Supply Voltage: Powered via soft starter (no separate supply required)
Indicators: LED status for communication and fault states

Protection Class: IP20 (requires installation inside control cabinet)
Operating Temperature: –25 °C to +60 °C
Storage Temperature: –40 °C to +80 °C

Dimensions (H × W × D): 45 × 90 × 75 mm
Weight:0.4kg

Mounting: Plug-in / snap-on to soft starter
Standards: IEC, UL, CSA compliant

FAQ

Which soft starters are compatible with the 3RW4900‑0KC00 module?
It is compatible with Siemens SIRIUS 3RW44 soft starters only.

Does the module require a separate power supply?
No, it is powered directly via the connected soft starter.

Which communication protocols does it support?
Standard PROFIBUS DP is supported, with optional Modbus or other fieldbus configurations.

Can the module be installed in existing soft starter setups?
Yes, it is a plug-in module designed for simple snap-on installation.

Does it provide diagnostic data for predictive maintenance?
Yes, it allows real-time monitoring and parameterization for predictive maintenance.