ABB 3HAC3616-1 DSQC500 Robotics Single PCB Computer Card

Manufacturer:ABB

Model Number:3HAC3616-1

Product Type:Single PCB Computer Card

Application Category:Robotic Systems

Board Size:Standard size for easy integration

Processing Speed:High-speed processing capabilities

Memory Capacity:Enhanced memory for efficient data handling

Connectivity:Versatile connectivity options for diverse system configurations

Power Consumption:Efficient power management for optimal performance

Environmental Rating:Robust design for harsh industrial environments

Certifications:ISO 9001, CE, UL

    This single-board computer card from ABB features an advanced Intel Core i7 processor, providing unparalleled computational power for demanding robotic tasks. With ample storage and RAM, it ensures smooth operation and quick response times, even under the most intensive workloads.

    Equipped with a Gigabit Ethernet interface and four USB 3.0 ports, the DSQC500 facilitates seamless communication with a wide range of peripherals and devices commonly found in industrial settings. Its dual PCI Express slots allow for the integration of additional expansion cards to further enhance functionality.

    The compact yet robust design of this card makes it ideal for installation within a standard 3U rack enclosure, maximizing space utilization in industrial control cabinets. The inclusion of a 12V DC power supply ensures reliable operation, even in environments with fluctuating voltage levels.

    Incorporating ABB‘s proprietary technology, the DSQC500 offers enhanced fault tolerance and system reliability, critical for maintaining continuous production processes without interruptions. Its compatibility with ABB‘s robotics software ecosystem simplifies setup and configuration, allowing for rapid deployment in various robotic applications.

    Designed for durability and ease of maintenance, the ABB 3HAC3616-1 DSQC500 Robotics Single PCB Computer Card is an essential component for modern industrial automation systems, delivering optimal performance and cost-effectiveness in robotics and automation projects.