The heavy construction industry has evolved over the last decade to become much more high-tech. GPS-equipped machines can now achieve tolerances of less than one-tenth of an inch, real-time telemetry has transformed the efficiency of machine health monitoring and maintenance, on-site video streaming is optimising remote machine control, worker safety, and security, and autonomous construction equipment is more prevalent than ever. The challenge is that these advanced applications all require reliable network connectivity to run—but traditional serial radios, Wi-Fi, and even LTE all fall short in either connectivity, capacity, or coverage to effectively support the growing demands of the construction industry. Enter Rajant Kinetic Mesh^®.

Highway projects, railroads, pipelines and other expansive infrastructure projects often require multiple base stations for high precision earthmoving. If an organisation opts for a serial network, they’re limited to a base radio and a single repeater—which severely limits the range in which they can receive corrections. If they opt for Wi-Fi, the machines can only be connected to a single access point at a time, which means equipment will lose connection as it roams across a site. This isn’t a workable solution from a connectivity standpoint.

LTE has challenges as well. Despite the great coverage maps that cellular carriers publish; many jobs sites still have poor to no coverage. Additionally, even when there is coverage available, the construction site still has no control over network congestion. But Rajant has a simple solution to overcome all of these challenges.

Rajant Kinetic Mesh is a private wireless solution that gives heavy construction jobsites a better network alternative: one that’s easily deployable and rapidly scalable to expand base station range in any direction, while also providing high data throughput and continuous connectivity for numerous efficiency-transforming site applications. The organisation owns the network—so they don’t have to share capacity or pay for machine data…

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