Type:Analog Input Module
Model Number:6ES7336-4GE00-0AB0
Manufacturer:SIEMENS
Number of Inputs:6
Input Resolution:15 bits
Input Range:Fail-safe analog inputs for SIMATIC Safety, with HART support
Operating Voltage:208;240 Volts AC
Current Consumption:4.2 Amps
Frequency Compatibility:0.1~600Hz
Protection Level:Nominal Input
Communication Interfaces:HART support
Safety Certification:Up to Category 4 (EN 954-1)/ SIL3 (IEC61508)/ PLE (ISO13849)
The SIEMENS SIMATIC S7-300 Analog Input Module SM 336, model 6ES7336-4GE00-0AB0, is a critical component in industrial automation systems, providing unparalleled accuracy and reliability for data acquisition tasks. This module supports an extensive range of applications within Programmable Logic Controller (PLC) systems, seamlessly integrating into various industrial settings.
Equipped with advanced features such as a built-in PLC function, this module ensures efficient data processing and communication with other devices through its support for multiple bus protocols including DeviceNet, Profibus, LonWorks, and CANopen. It comes with an integrated EMI filter and an RFI-switch for mains, enhancing its performance in challenging environments.
Featuring optically isolated 8 AI (analog input) channels with a 13-bit resolution, this module offers superior signal integrity and noise immunity. It is compatible with SIMATIC Safety standards, ensuring compliance with stringent safety requirements in hazardous areas.
Designed with user convenience in mind, the module boasts a compact modular design, facilitating easy integration into existing systems. Its compatibility with a wide range of power supply voltages (208;240 Volts AC) makes it adaptable to diverse industrial settings. With a maximum frequency capability of 600 Hz, it caters to high-speed data acquisition demands.
This product is meticulously engineered for durability and reliability, featuring complete protection measures against various operational hazards. The inclusion of a detailed set of specifications ensures that users can make informed decisions about its application in their specific industrial contexts, leading to optimized performance and enhanced system efficiency.
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