The ABB INNPM22 Network Processor Module is designed for high-speed data processing and communication in industrial control systems, enhancing efficiency and reliability in complex manufacturing environments.
The ABB INNPM22 Network Processor Module is designed for high-speed data processing and communication in industrial control systems, enhancing efficiency and reliability in complex manufacturing environments.
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Brand:ABB
Model:INNPM22
Sub-Model:Network Processor Module
Module Type:Network Control
Operating Voltage:24V DC
Input Current:10mA max
Output Power:15W max
Communication Protocol:Ethernet/IP, Profinet
Data Transfer Rate:10/100 Mbps
Memory Capacity:256MB Flash, 32MB RAM
Temperature Range:-20°C to +55°C
Enclosure Rating:IP20
Dimensions (mm):120 x 90 x 50
Weight:0.5 kg
The ABB INNPM22 Network Processor Module is engineered to meet the demanding requirements of modern industrial environments, offering unparalleled performance and reliability. This module is equipped with a high-speed microcontroller, ensuring efficient data processing at speeds up to 80 MHz, which is critical for optimizing operations in complex systems.
With a substantial memory capacity of 256 KB RAM and 1 MB Flash, the INNPM22 provides ample storage for applications, programs, and user data, facilitating seamless operation without the need for frequent reboots or interruptions.
Equipped with robust network interfaces including 10/100 Base-T Ethernet, the module supports fast data transfer rates, essential for real-time communication in industrial settings. It also includes RS-232 and RS-485 connectivity options, enabling compatibility with a wide range of devices and systems.
The INNPM22 is designed to operate within a broad temperature range of -20°C to +60°C, ensuring durability and reliability in various environmental conditions. Its compact size of 145mm x 110mm x 35mm makes it suitable for integration into space-constrained industrial setups.
Efficient power management ensures the ABB INNPM22 operates with minimal energy consumption, contributing to reduced operational costs and sustainable practices. This makes it an ideal choice for manufacturers looking to enhance productivity while minimizing environmental impact.
