SIEMENS 6ES7314-6CF01-0AB0 SIMATIC S7-300, CPU 314C-2DP COMPACT CPU WITH MPI, 24 DI/16 DO, 4AI, 2AO, 1 PT100

SIEMENS 6ES7314-6CF01-0AB0 SIMATIC S7-300, CPU 314C-2DP COMPACT CPU WITH MPI, 24 DI/16 DO, 4AI, 2AO, 1 PT100

The Siemens 6ES7314-6CF01-0AB0 is a CPU module from the SIMATIC S7-300 series, specifically the CPU 314C-2DP model. This compact CPU is equipped with various digital and analog inputs/outputs, as well as support for communication via MPI, making it suitable for a range of industrial automation applications.

**Product Description:**
- **Model:** 6ES7314-6CF01-0AB0
- **Product Type:** CPU 314C-2DP
- **Communication Protocol:** MPI (Multi-Point Interface)
- **Digital Inputs:** 24 DI (Digital Inputs)
- **Digital Outputs:** 16 DO (Digital Outputs)
- **Analog Inputs:** 4 AI (Analog Inputs)
- **Analog Outputs:** 2 AO (Analog Outputs)
- **Temperature Sensor Input:** 1 PT100

**Key Features:**
1. **Communication:** Supports communication via MPI (Multi-Point Interface) for connecting to other devices in the network.
2. **Digital Inputs/Outputs:** Provides 24 digital inputs and 16 digital outputs for interfacing with external equipment.
3. **Analog Inputs/Outputs:** Includes 4 analog inputs and 2 analog outputs for handling analog signals.
4. **Temperature Sensor Input:** Supports 1 PT100 temperature sensor input for monitoring temperature.

**Applications:**
1. **Industrial Automation:** Suitable for a variety of automation applications in industrial settings.
2. **Process Control:** Ideal for controlling processes with digital and analog input/output requirements.
3. **Temperature Monitoring:** Capable of integrating temperature sensing and control using the PT100 input.

For detailed programming instructions, configuration settings, and operational guidelines for the 6ES7314-6CF01-0AB0 CPU module, please refer to the product documentation provided by Siemens. This compact CPU module is designed to offer efficient processing and communication capabilities within a SIMATIC S7-300 automation system, enabling effective control and monitoring of industrial processes.