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Technical Resources

Built to Stay Accurate: The Engineering Behind the RG3 Perpetual® PD Meter


Most positive displacement meters get pulled at 15–20 years — not because they fail, but because they've quietly started under-billing. This paper breaks down the three patented design choices (360° boltless compression, chloramine-resistant silicone seals, and an oversized outlet gasket) that let the Perpetual® hold its accuracy — and your revenue — for decades longer than the industry standard.

White Paper · 7 pages · 15 min read



15 Years of Field Data: What the Industry's Longest Ultrasonic vs. PD Study Actually Shows


For over a decade, ultrasonic meters have been marketed as the obvious upgrade over positive displacement — but no one had independent, long-term field data to check that claim against. This guide walks through 15+ years of continuous billed-usage data from three U.S. utilities (Johnson Controls' Static Meter Research Project, Q2 2026 update) and what it reveals about how each technology actually performs as it ages in the field.

Comprehensive Guide · 53 pages



Why Meter Body Material Decides Whether Your Meters Stay Accurate for 20 Years


Every meter technology — PD, multi-jet, ultrasonic — is really a precision geometry device, and whatever holds that geometry holds the calibration. This paper lays out the materials-science case for why polymer meter bodies creep and deform under two decades of line pressure while brass and stainless steel don't — and why that silent, unalarmed drift shows up as unbilled water, not a work order.

White Paper · 6 pages · 13 min read



Mesh or Mess? Why Mesh Networks Struggle in Battery-Powered Water Metering


Mesh architecture was built for line-powered electric meters with unlimited energy — port it into battery-powered water metering and every advertised strength (self-healing, redundancy, extended coverage) flips into a battery drain. This paper walks through the power, throughput, and RF physics that make mesh's "no single point of failure" claim quietly fail in the field, and why it produces failure clusters invisible from the head-end.

White Paper · 8 pages · 16 min read