The ABB C100/0200/STD Universal Process Controller is a versatile and robust solution designed for a wide range of industrial control applications. It offers precise process control with high efficiency and reliability.
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The ABB C100/0200/STD Universal Process Controller is a versatile and robust solution designed for a wide range of industrial control applications. It offers precise process control with high efficiency and reliability.
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Processor Speed:Up to 64 MHz
Memory:128 KB RAM, 32 MB Flash ROM
Operating System:Advanced Real-Time OS
Input/Output Capacity:Up to 128 I/O points
Communication Interfaces:RS-485, Modbus, Ethernet
Power Consumption:Max 25 W
Dimensions:165 mm x 142 mm x 98 mm
Operating Temperature:-20°C to +70°C
Humidity Range:5% to 95% non-condensing
The ABB C100/0200/STD Universal Process Controller is engineered to provide unparalleled performance in challenging industrial environments. Its compact design allows for easy integration into existing systems, minimizing downtime and facilitating quick installation.
Equipped with advanced algorithms, this controller ensures accurate process control, reducing wastage and enhancing productivity. It supports a wide range of input signals, making it adaptable to various industrial applications.
With its robust construction, the ABB C100/0200/STD is designed to withstand harsh conditions, offering long-term reliability without frequent maintenance. Its intuitive user interface and comprehensive diagnostics facilitate efficient operation and troubleshooting.
The controller features a backlit LCD display with a graphical interface, providing real-time process data visualization and easy navigation through menus. This feature enables operators to monitor and adjust settings in real-time, improving overall control and response times.
Supporting Modbus RTU/ASCII communication protocols, the ABB C100/0200/STD ensures seamless integration with other automation systems, enabling a cohesive and efficient network. It also boasts extensive memory capacity for storing complex programs and historical data, aiding in predictive maintenance and process optimization.
