The Honeywell EM9118B2-6 is an advanced control module designed for seamless integration into various industrial settings. It offers precise control, enhanced efficiency, and reliability, making it a critical component for optimizing industrial processes.
Power Consumption:2.5W
Input Voltage Range:24V DC
Operating Temperature:-20°C to +70°C
Communication Protocol:MODBUS RTU
Control Modes:Proportional, Integral, Derivative (PID)
Relay Output Rating:5A @ 250V AC
Accuracy:+/- 0.5%
Response Time:≤ 20ms
The Honeywell EM9118B2-6 is a state-of-the-art control module tailored for demanding industrial environments. Its robust design ensures longevity and exceptional performance under extreme conditions, guaranteeing continuous operation without disruptions.
Equipped with a high-speed 32-bit microcontroller, this module processes complex algorithms swiftly, enabling real-time adjustments to industrial processes for maximum efficiency. Its extensive memory capacity supports sophisticated applications and data storage.
With a wide operating temperature range from -40°C to +85°C, the EM9118B2-6 is engineered to withstand harsh industrial environments, from freezing cold workshops to hot production lines. This versatility makes it ideal for a multitude of applications across different industries.
Featuring Modbus RTU and CANopen communication protocols, the module facilitates seamless integration with existing systems and devices, enhancing compatibility and interoperability. This allows for easy setup and configuration, saving time and reducing complexity.
The EM9118B2-6 comes equipped with 16 digital inputs and 8 digital outputs, providing ample connectivity options for various sensors and actuators. This comprehensive I/O capability ensures that the module can be tailored to meet specific control needs, from simple on/off switching to complex sequence control.
The Honeywell EM9118B2-6 is an advanced control module designed for seamless integration into various industrial settings. It offers precise control, enhanced efficiency, and reliability, making it a critical component for optimizing industrial processes.