Product Type:CPU Module

Model ID:DSPC172H

ABB Type Designation:Master

Weight:0.35 kg

Operating Voltage:24V DC

Memory Size:128 KB

Communication Interface:RS-485

Process Capability:Supports up to 16 analog inputs and 16 digital I/Os

Environment Compatibility:Operating temperature: -25°C to +60°C, Storage temperature: -40°C to +85°C

    The ABB DSPC172H Master CPU Module is a cornerstone of modern industrial automation, engineered to handle complex control tasks with ease and precision. Its robust design ensures reliable operation in harsh industrial environments, from freezing cold to scorching heat.

    Featuring an advanced 32-bit microprocessor with a processing speed of up to 20 MIPS, the DSPC172H provides lightning-fast response times and unparalleled efficiency. This makes it ideal for applications requiring quick decision-making and real-time data processing.

    With a generous memory capacity of 1 MB RAM and 2 MB ROM, the module can store extensive software programs and large amounts of data, facilitating sophisticated control algorithms and monitoring functions. Its rich set of I/O channels allows for seamless integration with a wide range of sensors and actuators, enhancing system versatility.

    Equipped with state-of-the-art communication interfaces such as RS-485 and CANopen, the ABB DSPC172H supports seamless connectivity within industrial networks. This ensures smooth data exchange with other devices and systems, streamlining operations and improving overall efficiency.

    The ABB DSPC172H comes with a user-friendly programming environment, allowing engineers to develop and deploy control strategies with ease. Its modular design and compact size make it suitable for space-constrained installations, ensuring flexibility in system design.

    Backed by ABB’s commitment to quality and reliability, the DSPC172H undergoes rigorous testing and validation processes to meet stringent industry standards. This ensures that users can trust the module to perform reliably under challenging conditions, maximizing production uptime and reducing maintenance costs.