A number of features and specifications make the Industrial Fieldbus Embedded Computer (NIFE) Series a top choice. NIFE-101 integrates popularly used industrial master Fieldbus interface such as DeviceNet, Profibus, Profinet, Eternet/IP and EtherCAT to facilitate communication between programmable logic controllers (PLCs) and remote industrial operators or remote I/Os. Two of its most impressive attributes is that it is powered by the latest generation of Intel Atom processor and another is that it has a gateway for industrial automation.
PC controller NIFE Series.
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NIFE-101 runs on E3826 which is the very latest generation of Intel® Atom processor. It provides an intelligent PC-based controller as well as Modbus RTU/TCP gateway for factory automation. Supervisors and managers in industrial settings have their work made so much easier thanks to the ACP ThinManager which gives simplified and effective management solutions. NIFE-101 supports memory up to 4G DDR3L and offers a number of storage device options such as SSD and CFast. It is also quite sturdy when it comes to temperatures. It supports extended operating temperature from from -20 upto 70 degree C with typical DC input 24V +/-20% range.This industrial fieldbus computer also be integrated to a high degree such as with an options Mini-PCIe module and two COM ports that come with Isolation 2.5kv protect. This ensures that it can reliably connect with devices in IOT applications. Options of connection via Wi-Fi, GbE LAN and 3.5G/4G LTE module are provided. All the versatility put NIFE-101 on ahead of other embedded fieldbus computer models when it comes to IOT/M2M intelligent systems.
NIFE-101 takes care of the challenge of building an industrial Internet of Things (IoT) or Factory of Things. NIFE-101 takes care of this with a one-of-a-kind open architecture solution with flexible configuration that eliminates communication in an industrial setting. With NIFE-101, manufacturers can built a Factory-of-Things that connects PLCs, remote I/Os and legacy field devices. This is done using various protocols across different control subsystems. Manufacturers are also able to send field data to the cloud for purposes of big data analytics and monitoring factory operations remotely. Some control and analytic workloads may be delegated to edge devices in order to control how much data is sent to the cloud for processing. Data can be held in edge devices like IoT controllers and industrial gateways on the factory floor.Features:
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