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NI 785622-01 | Controller cRIO-9042 with quad-core processor (1.6 GHz), 70T-FPGA, RT, 4 slots, XT

Manufacturer number: 785622-01

NI 785622-01
2 in stock. Ready to ship in 1 business day

€6,690.00

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Highlights Technical Data Documents / Downloads Description

785622-01 | Controller cRIO-9042 with quad-core processor (1.6 GHz), 70T-FPGA, RT, 4 slots, XT.

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Technical Data

Documents & Downloads

Overview
pdf | 0.57 MB
Datasheet
pdf | 0.34 MB
Userguide
pdf | 2.30 MB

Description

785622-01 | Controller cRIO-9042 with quad-core processor (1.6 GHz), 70T-FPGA, RT, 4 slots, XT

The cRIO-9042 is a rugged, powerful and user-definable embedded controller that includes an Intel Atom quad-core processor, support for NI-DAQmx and an SD slot for data logging and embedded monitoring, control and monitoring. Regulation offers. It includes a Kintex 7-70T FPGA that supports the LabVIEW FPGA Module for advanced control, and coprocessor functions. The controller offers precise, deterministic network transmissions with time synchronization using Time-Sensitive Networking (TSN), which is particularly advantageous for decentralized measurements. The controller has several interfaces, including Gigabit Ethernet, USB 3.1, USB 2.0, RS-232 and RS-485. A local human-machine interface can be added via the USB 3.1 ports and software can be programmed, distributed and debugged in order to simplify application development.

Product features:

  • TSN activated: Deterministic communication synchronization
  • Number of slots: 4
  • Operating temperature: -40 ° C to 70 ° C
  • Programming mode: NI-DAQmx LabVIEW FPGA
  • Processor core: 1.60 GHz Quad Core Intel Atom
  • FPGA: Kintex-7 70T
  • Protective coating: no
  • Hard disk space: 4 GB
  • RAM size: 4 GB
  • Number of controller ethernet ports: 2
  • Supports GigE Vision: Yes

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About the Manufacturer

NI
NI
National Instruments is a global leader in test, measurement, and control solutions. NI's platform-based approach combines modular hardware and software to help customers address complex engineering challenges. Applications range from automotive, electronics, and energy to research/education and industrial systems.
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