HART Network Unit (HNU) - HART Communication Interface

Brand: Azbil North America, Inc

The HART Network Unit (HNU) is a communication interface unit between HART-compatible devices (HART devices) and Azbil's device management system, InnovativeField Organizer (IFO).

The HNU enables any DCS and/or PLC to communicate with HART devices and with IFO by individual wiring to analog I/O terminals of the DCS, PLC or marshaling panel.

The HNU features fast one-second updates for all points by using 16-channel parallel simultaneous communication, as well as flexible installation to existing systems. It provides convenient IFO device management to all HART device users.
Features
  • One-second updates for all points
    • The HNU uses the HART modem for each communication channel and provides one-second updates for all points by 16-channel simultaneous communication.
  • Modbus communication
    • The HNU also supports the Modbus communication protocol. 
    • All data that the HNU collects by the HART protocol can be sent to the DCS and/or PLC through Modbus communication. 
    • In this way even a DCS or PLC that does not support HART can receive a HART signal through Modbus, and can realize HART applications such as monitoring the position of a control valve or the temperature of an important transmitter.
  • Flexible mounting
    • HART-compliant interfaces can easily be added to an existing system, thanks to the HNU's use of compact external mounting on a DIN rail. 
    • Flexible and scalable mounting for small to large installations is possible by means of blocks of multiple HNUs or HNUs distributed by Ethernet.
  • Individual isolation between channels
    • Each channel and the channel to the power supply is isolated individually. Channels do not affect the isolation of the existing loop.
  • Efficient mounting
    • Up to 16 HART devices can be connected to one HNU. 
    • Devices which need to communicate by HART protocol may be connected to the HNU by means of individual separate wiring. 
    • Since dedicated hardware is not necessary for AI or AO, low-cost implementation with a small number of I/O points is possible.

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