GE Fanuc D0M202 – Advanced Programmable Controller, for Industrial Automation

Processor Speed:300MHz Pentium III

Memory Capacity:64MB User Memory + 64MB Flash

Operating System:RTOS (Real-Time Operating System)

Network Interface:10/100 Mbps Ethernet

Communication Protocols:Profibus™, DeviceNet™, Ethernet Wire™

Compatibility:Ge Fanuc 90-30, 90-70 applications

Upgradeability:Controller upgrade without disrupting existing wiring

Redundancy Support:CPU redundancy support

    The GE Fanuc D0M202 is a cutting-edge programmable controller engineered to optimize industrial automation processes. It boasts a robust design, enhanced processing power, and superior memory capacity, making it ideal for demanding applications across various industries. This controller supports a range of communication protocols, ensuring seamless integration with existing systems and enabling real-time data processing and control.

    Equipped with a 96 MHz 32-bit floating-point processor, the D0M202 delivers exceptional computational speed and precision, crucial for complex control tasks. The large memory capacity supports extensive programming and storage requirements, allowing for sophisticated logic and control algorithms.

    Compatible with both MS-DOS and Windows operating systems, this controller offers flexibility in system integration and ease of use for developers and operators alike. Its compatibility with industry-standard communication protocols such as Profibus™, DeviceNet™, and Ethernet Wire™ ensures broad connectivity options and efficient data exchange.

    Featuring support for redundancy, the GE Fanuc D0M202 ensures operational reliability even in critical applications where downtime cannot be tolerated. This feature enhances system availability and safety, making it suitable for mission-critical industrial environments.

    Built with IP54 environmental resistance, the D0M202 can withstand harsh industrial conditions, including dust and splashes of water, ensuring reliable operation in diverse settings. Its power consumption is optimized for efficiency, contributing to lower operational costs and environmental footprint.