The Siemens SMP16-SFT304 Controller Module, model 6AR1304-0CA00-0AA0, is designed for advanced control applications in industrial automation systems. This module offers seamless integration and high performance, making it an ideal choice for optimizing production processes.
Product Type:PLC
Product ID:6AR1304-0CA00-0AA0
Siemens Type Designation:SMP16-SFT304
Controller Module:Yes
Interrupt and Counter/time Encoder Control:Included
Net Weight:0.140 Kg
Lifecycle:PM500: Discontinued
The Siemens SMP16-SFT304 Controller Module is a high-performance digital control solution tailored for demanding industrial automation environments. It is part of the robust Siemens PLC Systems family, known for its reliability and efficiency in handling complex control tasks.
This module is equipped with advanced interrupt and counter/time encoder capabilities, enabling precise control and monitoring of operational processes. Its compact design ensures easy integration into various machinery setups without compromising on functionality.
With a net weight of just 0.140 Kg, the SMP16-SFT304 Controller Module is lightweight yet robust, making it ideal for space-constrained applications where mobility and durability are essential.
Despite being discontinued under the PM500 lifecycle designation, this module continues to offer unparalleled support and a legacy of trust among industrial users worldwide. Its compatibility with existing Siemens PLC systems ensures a seamless transition and continued operation in legacy setups.
Equipped with galvanic isolation, the module provides enhanced protection against electrical noise and interference, ensuring stable operation in harsh industrial environments. This feature is crucial for maintaining the integrity of control signals and preventing unexpected disruptions in automated processes.
The Siemens SMP16-SFT304 Controller Module, model 6AR1304-0CA00-0AA0, is designed for advanced control applications in industrial automation systems. This module offers seamless integration and high performance, making it an ideal choice for optimizing production processes.