Temperature Range:-40°C to +85°C
Accuracy:+/-0.5°C
Response Time:Less than 1 second
Power Consumption:Max 1W
Operating Voltage:12VDC
Connectivity:RS-485 Modbus-RTU
Dimensions:86mm x 46mm x 23mm
Environmental Rating:IP65/IP67
Material:Stainless Steel Enclosure
Weight:0.1 kg
Introducing the ABB S200IR8 Temperature Module, a cutting-edge solution for accurate and reliable temperature measurements in demanding industrial applications. Engineered with precision in mind, this module boasts an operating range from -40°C to 85°C, ensuring it can withstand the harshest conditions. With a remarkable accuracy of +/-0.5°C, it guarantees precise readings that are essential for process control and monitoring.
The ABB S200IR8 comes equipped with a quick response time of 0.5 seconds (typical), allowing for swift adjustments and real-time monitoring of temperatures. Its power consumption is capped at 10mA (max), making it energy-efficient for continuous operation. The output type is a 4-20mA signal, compatible with most industrial control systems for seamless integration.
Featuring an aluminum housing with an IP67 protection class, the module is not only durable but also resistant to dust and water ingress, ensuring it performs reliably in outdoor or harsh indoor environments. It utilizes a 4-wire connection for enhanced accuracy and ease of installation.
Crafted with attention to detail, the ABB S200IR8 Temperature Module ensures long-lasting performance. Its compact design and robust materials make it suitable for various applications within industries such as manufacturing, chemical processing, and automation. Whether you need to monitor temperatures in a factory floor or in a remote industrial site, this module delivers consistent and accurate results.
For optimal performance, the module operates under ambient temperatures ranging from -40°C to 85°C and maintains a humidity level between 5% to 95% without condensation. This ensures it can function effectively in diverse environmental conditions, providing reliable data for critical decision-making processes.
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