Brief Function Introduction:
The Siemens 5136-DNS-200S Slave Adapter is designed for industrial automation applications, seamlessly integrating into a wide range of control systems to facilitate efficient communication and data exchange.
Product Specifications:
| Power Supply Voltage: | 12V DC |
| Communication Protocol: | MPI, PROFINET |
| Operating Temperature Range: | -20°C to +60°C |
| Data Transfer Rate: | 19.2 kbps - 1 Mbps |
| Connection Type: | M12 Connector |
| Communication Distance: | Up to 100m |
| Number of Inputs/Outputs: | 8/8 |
| Protocol Compatibility: | MODBUS RTU, CANopen, DeviceNet |
Product Details:
The Siemens 5136-DNS-200S Slave Adapter boasts an advanced design that ensures reliable performance in harsh industrial environments. It supports multiple communication protocols, including MPI, PROFINET, MODBUS RTU, CANopen, and DeviceNet, making it compatible with a broad spectrum of automation systems.
Featuring a robust M12 connector, this adapter provides a secure and durable connection, facilitating seamless integration into existing systems. Its operating temperature range from -20°C to +60°C ensures stable operation across various environmental conditions, enhancing system reliability.
With a data transfer rate adjustable from 19.2 kbps to 1 Mbps, the adapter optimizes communication efficiency, enabling faster data processing and reduced latency. This feature is crucial for real-time control and monitoring in industrial applications.
Equipped with 8 inputs and 8 outputs, the adapter offers flexible configuration options for various industrial needs. Whether for signal acquisition or actuation, it provides a versatile solution for integrating sensors, actuators, and other devices into a comprehensive automation network.
Incorporating state-of-the-art technology, the Siemens 5136-DNS-200S Slave Adapter simplifies complex automation tasks, reducing setup time and minimizing maintenance requirements. Its compatibility with leading industry standards ensures long-term support and ease of integration into evolving automation landscapes.
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