Processor Speed:1 GHz
Memory:1 GB RAM, 16 GB Flash
Operating System:ABB Real-Time OS
Input Channels:32
Output Channels:16
Power Consumption:10W
Operating Temperature:-20°C to +55°C
Dimensions:100 x 100 x 30 mm
The ABB DS19/02P is a state-of-the-art data acquisition module, specifically engineered for the demanding conditions of industrial automation environments. This robust module boasts an unparalleled level of accuracy, ensuring that every piece of data collected is precise and reliable, crucial for optimizing manufacturing processes and enhancing overall productivity.
Equipped with an advanced 1 MHz sampling rate, the DS19/02P can capture and process data at incredibly fast speeds, making it ideal for real-time monitoring and control systems. Its 16 analog input channels allow for the simultaneous measurement of various physical quantities, such as temperature, pressure, or flow rates, providing comprehensive insights into operational conditions.
In addition to its robust data acquisition capabilities, the DS19/02P includes 8 digital input channels, offering flexibility in integrating with a wide range of sensors and switches. This feature is particularly beneficial for monitoring binary events or conditions, contributing to more efficient and responsive control systems.
With an operating temperature range from -40°C to +85°C, the DS19/02P is designed to withstand extreme environmental conditions commonly encountered in industrial settings. This durability ensures consistent performance throughout the year, regardless of fluctuations in ambient temperatures.
Powering the DS19/02P is a versatile power supply, supporting voltages from 12V DC to 48V DC. This flexibility accommodates diverse power sources, ensuring compatibility with various industrial equipment and installations.
For seamless integration into existing systems, the DS19/02P utilizes a RS-485 Modbus RTU communication interface. This industry-standard protocol facilitates easy setup and maintenance, reducing downtime and simplifying the configuration of complex automation networks.
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