product model: PNI800A plant network interface module
product description: The PNI800A plant network interface module by ABB is a high-performance networking solution designed to facilitate seamless communication between industrial automation systems. It ensures reliable data transfer and integration across plant networks.
brand: ABB
country of origin: Switzerland
net weight: 0.5 kg
dimensions: 120 mm x 80 mm x 30 mm
power supply: 24 V DC, 1 A
input/output: 8 digital inputs, 8 digital outputs
communication interface: Ethernet, PROFIBUS, Modbus
usage: Ideal for industrial automation, process control, and manufacturing applications. For more details, visit the ABB official website or contact us for support.
ABB PNI800A plant network interface module
ABB PNI800A Plant Network Interface Module – the ultimate solution for seamless industrial communication! This advanced module ensures reliable data exchange between field devices and control systems, featuring robust connectivity, high-speed performance, and easy integration. Key benefits include enhanced operational efficiency, reduced downtime, and future-proof scalability. Backed by a one-year warranty, the PNI800A delivers unmatched reliability and peace of mind. Upgrade your plant network today and experience superior performance! Order now to secure your ABB PNI800A and transform your industrial operations!
Product Model | PNI800A |
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Product Description | The PNI800A is a high-performance industrial automation controller designed for versatile process control applications. It features advanced processing capabilities and robust connectivity options, making it suitable for a wide range of automation tasks in manufacturing and process environments. |
Brand | ABB |
Origin | Switzerland |
Net Weight | 2.5 kg |
Dimensions | 250 mm x 150 mm x 75 mm |
Power Supply | 24 V DC 10 |
Input/Output | 16 Digital Inputs, 8 Digital Outputs, 4 Analog Inputs 0-10 V, 2 Analog Outputs 4-20 mA |
Communication Interface | Ethernet/IP, Modbus TCP, RS-232, RS-485 |
Use | Ideal for applications in manufacturing automation, process control, energy management, and data acquisition in industrial environments. |
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