GE FANUC ME95MBP001 Central Processing Unit – Advanced Industrial Control Solutions

Brand:GE FANUC

Model Number:ME95MBP001

Core Technology:Advanced Microcontroller

Operating Frequency:Up to 200 MHz

Processor Architecture:32-bit RISC

Memory Size:Up to 256 MB SDRAM

Flash Memory:Up to 8 MB Flash ROM

Power Consumption:15 W (Typical)

Operating Temperature Range:-20°C to +70°C

Input Voltage:DC 24 V

Communication Interfaces:[“Ethernet”,”Serial”,”Parallel”]

Dimensions (WxDxH):100 mm x 100 mm x 30 mm

Weight:Approx. 250 g

    The GE FANUC ME95MBP001 Central Processing Unit is engineered to provide unparalleled reliability and efficiency in industrial automation systems. Its robust design withstands extreme conditions, ensuring stable operation in manufacturing floors, process plants, and other industrial settings.

    Equipped with state-of-the-art microcontroller technology, this unit boasts high-speed processing capabilities, enabling quick response times and enhanced system performance. It supports multiple communication interfaces for seamless data exchange, facilitating integration with various industrial protocols.

    Featuring ample memory capacity, the ME95MBP001 allows for the storage of complex control algorithms and extensive data sets, supporting sophisticated control strategies and predictive maintenance functions. Its efficient power consumption ensures minimal energy usage without compromising performance.

    With its wide operating temperature range and reliable power supply, the unit is suitable for deployment in diverse industrial environments, from cold storage facilities to hot production lines. The compact size and lightweight design make it easy to integrate into existing systems without requiring extensive modifications.

    Backed by GE FANUC’s commitment to quality and innovation, the ME95MBP001 Central Processing Unit is designed to meet the evolving needs of modern industrial automation. Its compatibility with industry-standard components and protocols ensures seamless integration into existing and future systems, maximizing productivity and minimizing downtime.