Operating Voltage:DC 24V

Input Current:0.2A

Output Power:50W

Communication Interface:RS485

Operating Temperature Range:-25°C to +60°C

Storage Temperature Range:-40°C to +85°C

Relay Contacts:2 SPST

Load Rating:250V AC/30V DC, 5A

    The Siemens Simatic S5, model 6ES5948-3UA13, represents the pinnacle of industrial automation control systems, tailored for seamless integration into complex manufacturing environments. This robust control system module boasts a powerful CPU 528, equipped with ample memory (64 KB RAM and 32 KB ROM) for efficient data processing and storage. Its versatile communication interface supports both RS-485 and MPI protocols, ensuring compatibility with a broad spectrum of Siemens devices and external systems.

    With an operating voltage range of AC 115V or DC 24V, this control system can withstand varied industrial power conditions, making it suitable for a wide array of applications. Its temperature resistance (-10°C to +55°C operational, -40°C to +70°C storage) ensures durability in challenging environments, enhancing its reliability in real-world scenarios.

    Designed with practicality in mind, the 6ES5948-3UA13 measures 246 x 198 x 120 mm, fitting comfortably within standard control cabinet layouts without compromising on functionality. The compact size, combined with a manageable weight of 1.5 kg, facilitates easy installation and maintenance, streamlining the setup process for industrial operators.

    Equipped with a user-friendly interface, this control system offers intuitive access to critical functions, enabling technicians to monitor and adjust parameters effortlessly. Comprehensive documentation and support from Siemens ensure a smooth learning curve for new users, fostering quick adoption and optimal performance.

    The Siemens Simatic S5, model 6ES5948-3UA13, is not just a tool for industrial automation—it’s a testament to Siemens’ commitment to innovation and excellence. It seamlessly integrates into existing systems, enhancing productivity, reducing downtime, and optimizing energy consumption in manufacturing processes.