Carnegie Technologies, which develops products and services that break down connectivity barriers and help businesses unlock their true potential, announced today the launch of the Longview IoT Solution , a combination of custom-engineered sensors, gateways, cloud analytics, and industry-specific applications that come pre-configured to work right out the box. Longview is designed to empower businesses to quickly and easily get IoT solutions up and running so they can begin tracking, measuring, and managing the things that matter most.
The company said that Longview is for companies that want an IoT solution that just works, without the complexities and struggles of getting sensors, networks, software, and hardware from different vendors to work together. The enterprise-grade system can scale for use across multiple sites with hundreds of thousands of sensors and was built on the open standard LPWAN LoRaWAN protocol to cover vast terrain that cannot be covered by Wi-Fi and may not have cellular connectivity. Longview’s triple layer security builds both hardware-based keys and an additional software certificate layer over the already robust LoRaWAN security, while its Super-B protocol enhances the standard LoRaWAN protocols by allowing for more efficient bandwidth usage and field over-the-air (OTA) upgrades.
“Longview optimizes how work gets done and lets you get immediate insight, take action and gain efficiencies instead of spending time figuring out how to connect your devices,” said Brad Bush, managing director, Internet of Things, Carnegie Technologies.
Key features of Longview include:
- Engineered for reliability, performance, security and scale
- Patented Super-B protocol offers in-field upgrades and bandwidth optimization
- Triple-layer security integrated in both hardware and software
- Mesh-networked gateways reduce network connection costs
- Optional solar and battery power
- Real-time visibility and control using a smartphone, tablet or desktop
- Ever-expanding portfolio of sensors and solutions
- Cloud-based analytics for predictive maintenance
Ken Briodagh is a writer and editor with more than a decade of experience under his belt. He is in love with technology and if he had his druthers would beta test everything from shoe phones to flying cars.Edited by
Ken Briodagh
