3 Mini-PCIe sockets for Wi-Fi, 3G, LTE, GPS, and mSATA expansion modules
7th Gen Intel® Core™ processor (Kaby Lake U)
2 built-in DDR4 memory slots; total capacity up to 32 GB
Built-in TPM 2.0 module
Variety of interfaces: 2 serial ports, 2 Giga LANs, 3 USB 3.0 (type A) ports
The MC-1200 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 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.
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.
Proactive Monitoring Function
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.