Manual – 3000 NRL Family
Unidata Manual - 3000 NRL Family - 17 09 2018.docx
Page 8
1.7 NRL
Models
There are many different models of NRL, and while the software architecture remains the
same with all models, the larger models have more connectivity and more input channels
than the lower models.
There are two main groups:
1. The 3016, 3008 and 3004 are the higher end models with higher connectivity and are
housed inside metal enclosures with input terminals exposed on the side, for easy
sensor connection.
2. The 3004M models are lower end models with lower connectivity and are housed
inside smaller polycarbonate enclosures, or metal enclosures for high IP rating
applications.
All of the models and the connectivity details are listed in this manual in the section
Summary of Remote Loggers.
1.8
NRL Programs (Schemes) and Prologger / Starlogger Emulation Mode
NRL loggers operate in two modes: Native or Emulation.
In Native mode the logger operates much like a Neon Remote Terminal (NRT) and has a
memory layout and configuration settings broadly the same. It allows existing NRT
schemes to be used immediately without change.
In Emulation mode the logger operates like a Prologger (3016) or Starlogger (all other
3xxx models) with compatible memory layout and configuration options. It is intended to
allow the use of existing Prologger or Starlogger schemes immediately and later transition
to Native mode.
To access new NRL features requires porting both NRT and Prologger/Starlogger
schemes to the new NRL scheme type.
1.9
NRL New Features
The NRL offers several new features not available in earlier NRT and
Prologger/Starlogger loggers:
Critical data is stored in non-volatile FRAM, rather than volatile RAM, to allow for
faster recovery after power interruptions.
Improved memory management allows for more complicated scheme programs.
Floating-point
support.
Support for >16-bit analog channels.
Support for 32-bit counter channels.
Support for multiple SDI-12 busses.
Support for multiple Modbus busses.
Support for burst transmission of each log record. This is particularly suitable for
IoT technologies such as LoRa, microsatellite systems or Iridium Short Burst Data.
