Thanks for printing! Don't forget to come back to Trenton Systems Inc. for fresh articles!
Internet of Things
Machine-to-Machine (M2M) communication has been around for over a century, and served as the backbone of the industrial automation revolution based on embedded hardware and control systems, such as SCADA (supervisory control and data acquisition), in the 1960s. The advent of industrial-grade personal computers in the 1980s, along with the development of the internet backbone and wireless networks in the 1990s, provided significant advances in both adoption and effectivity, but this technology platform is currently undergoing an even bigger change.
The move toward smaller, more powerful processors, smart mobile devices, cloud computing and big data is fueling the latest wave of machine-to-machine technology which is expected to connect some 50 billion devices by the year 2020 and dramatically alter the way in which most industries, such as government & defense, healthcare, resource management, transportation, communications, and energy exploration, generation and distribution, operate on a daily basis.
Intel’s M2M Ecosystem of Smart Services, pictured above, illustrates the expansion from what was once an industrial domain to encompass both commercial and consumer landscapes as the often called Internet-of-Things (IoT) expands to include our homes and vehicles, as well as newly developed embedded, wearable and implanted sensors and transmission devices.
This paradigm is also used in defense applications, as the Military Internet of Things (MIoT) extends beyond the fabric of intelligence & surveillance sensors and distribution networks to include weapons systems, soldiers and unmanned systems on a global scale.
Smart factories are implementing advanced machine-to-machine solutions via production sensors and monitoring systems in order to increase quality and productivity, in addition to supporting a new level of workforce education and cross-functional collaboration.
The energy sector has deployed machine-to-machine hardware and software platforms to enable problem detection and self-healing on smart grids, which in turn improves reliability. Smart sensors and meters support demand management efforts designed to improve grid utilization and efficiency, as well as manage variability from renewable energy sources.
As remote connected devices continue their proliferation, the task of collecting and analyzing volumes of data in real time increasingly relies on industrial & military-grade servers such as Trenton Systems’ TRC4014 4U rackmount computer.
- Rugged, lightweight aluminum chassis
- Dual or single-processor SHB options
- One 14-slot form factor PCIe backplane
- Up to 12 hot-swap, front-access drives
- System fan control maximizes cooling
- Redundant hot-swap power supplies
- BIOS modifications & revision control