Series computers are built around a 7th Gen Intel® Celeron® or Intel®
Core™ i3, i5, or i7 processor and come with 1 HDMI display port, 3
USB 3.0 ports, 2 gigabit LAN ports, and 2 3-in-1 RS-232/422/485 serial
ports. The MC-1200 is equipped with a 2.5” HDD/SSD slot and a built-in
TPM 2.0 module.
Additional value and convenience
is provided through a modular design with three independent slots
for flexible system integration and expansion. Users have the option
to add a variety of different communications modules, including Wi-Fi,
3G, LTE, GPS, and mSATA expansion modules.
With UL Class 1 Division 2, ATEX and IECEx Zone 2 compliance, the
MC-1200 is sure to deliver stable and reliable system operation for
oil and gas applications. Class 1 Division 2 (C1D2) is a certification
issued to products that allow them to be used in potentially hazardous
environments. Examples of hazardous work settings include locations
where flammable or explosive gasses, certain chemicals, airborne fibers,
or vapors could be excessive under abnormal circumstances.
Class 1 Division 2 (C1D2) certification indicates
that a device is deemed safe to operate in specific hazardous environments
under abnormal circumstances. This means that in a worst case scenario,
the MC-1200 computer will not ignite the substances around it causing
a fire, explosion, or other catastrophe.
The MC-1200 is designed to operate reliably in extreme conditions,
such as continuous exposure to low or high temperatures, humidity,
high vibration, and power surges, making them perfect for heavy industry,
solar grid, water/wastewater, oil and gas, and transportation applications.
Moxa Proactive Monitoring is a small-footprint,
resource-friendly, easy-to-use utility that allows users to track
a number of system parameters. Users can view the current parameter
values for these key parts by simply clicking on the icons corresponding
to the parameters in the user interface. User-defined key part indicators
(KPIs) are used to monitor the computer’s key parts. Visible and/or
audio alerts are triggered automatically via relay and SNMP traps
when these KPIs exceed their preset threshold values, making it extremely
convenient for operators to avoid system downtime by setting up predictive
maintenance tasks well in advance.