Tech4Biz

Intelligent Water Distribution & Analytics Platform

architecture

Executive Summary

A water utility was losing over a fifth of treated water to leaks and unbilled consumption, with non-revenue water eroding margins and stressing supply. Leaks surfaced only when they became visible; pressure was managed conservatively, wasting energy and stressing pipes; and quality monitoring relied on infrequent manual samples.

Tech4Biz engineered an Intelligent Water Distribution & Analytics Platform: district-metered sensing, edge leak inference, a hydraulic digital twin, AI leak localization and NRW analytics, continuous quality monitoring, and predictive asset maintenance, integrated with GIS, SCADA, CIS, and CMMS, backed by a reference multi-probe sensor node.

This document covers the problem, the engineered solution, the reference sensor hardware, operator screens, and measurable outcomes.

Problem Statement

  • High non-revenue water : real losses from leaks plus apparent losses from metering and theft.
  • Late leak detection : bursts found by surface visibility, not sensors; long run-times before repair.
  • Conservative pressure : over-pressurized zones wasting energy and accelerating pipe fatigue.
  • Infrequent quality checks : manual grab samples left gaps in compliance evidence.
  • Reactive asset maintenance : pump and valve failures with no early warning.
  • Siloed systems : telemetry disconnected from GIS, billing, and work management.

The Engineered Solution

A custom platform combining IoT sensing, edge analytics, a hydraulic twin, AI, and enterprise integration. Four layers:

Field / Sensor Layer

  • Ultrasonic/mag flow meters, pressure sensors, quality probes (pH, turbidity, chlorine, conductivity), and acoustic leak loggers across district metered areas.

Edge / Comms Layer — T4B-WTR Sensor Node

  • Multi-probe acquisition with edge burst detection, NB-IoT/LoRaWAN comms, and multi-year battery, plus SCADA/RTU for pump and valve control.

Core / Analytics Layer

  • Time-series platform, hydraulic digital twin, AI leak localization and NRW analytics, quality compliance engine, pressure management, and predictive asset maintenance.

Applications & Integration Layer

  • NRW console, quality dashboard, field app, and customer portal over REST/MQTT/Kafka, integrated with CIS, billing, GIS, SCADA, CMMS, and regulatory reporting.

Reference Hardware Design

The field edge runs on a reference multi-probe sensor node engineered by Tech4Biz, presented as an engineered reference design for deployment on certified field hardware.

Water Sensor Node — T4B-WTR-SN-R1

board node
  • Ultra-low-power MCU — ARM Cortex-M with edge burst inference and a secure element.
  • Flow Interface — ultrasonic time-of-flight plus pulse and 4-20mA inputs.
  • Pressure AFE — 0-16 bar, 24-bit, with 100Hz transient capture for water-hammer events.
  • Quality Probes — pH, turbidity, chlorine, conductivity, and temperature.
  • Acoustic Sensor — leak-noise capture, correlation-ready for pinpointing.
  • Comms — NB-IoT / LoRaWAN with cellular fallback; 5-10 year Li-SOCl2 battery.
  • Logger / NVM — store-and-forward in an IP68 buried/chamber enclosure.

Operator Applications

NRW / Leak Operations Console

Non-revenue water and active-leak KPIs, a correlation-based leak event table with confidence and excess flow, minimum-night-flow trending, a monthly water balance, and a work-order log for dispatch and repair.

screen nrw

Water Quality Dashboard

Live parameter gauges (chlorine, turbidity, pH, conductivity, temperature, TDS) against limits, a quality event log, and a rolling regulatory-compliance summary with auto-reporting.

screen quality

Business Outcomes

Representative outcome targets delivered by the platform:

Metric Before After
Non-revenue water High, undiagnosed Reduced via analytics
Leak detection Surface-visible only Sensor + correlation
Leak run-time Days to weeks Hours to days
Pressure management Conservative PRV-optimized
Quality monitoring Manual grab samples Continuous + auto-report
Asset maintenance Reactive Predictive
System integration Siloed GIS/SCADA/CIS/CMMS

Additonal benefits

  • Lower operational and energy cost through optimized pressure and pumping.
  • Improved regulatory compliance with continuous evidence and auto-reporting.
  • Extended asset life and fewer emergency repairs.
  • Sustainable water resource management and reduced loss.

Technologies

IoT flow, pressure, quality, and acoustic sensors; NB-IoT/LoRaWAN; edge computing; hydraulic digital twin; AI/ML leak localization; MQTT/Kafka; time-series databases; GIS mapping; SCADA; REST APIs and enterprise integration.

Industries

Water distribution utilities, municipal water authorities, smart cities, industrial water users, campus and facility water management, and bulk water suppliers.

Tech4Biz Differentiator

Tech4Biz is an R&D engineering company. We design and engineer custom water intelligence platforms, combining IoT sensing, edge analytics, hydraulic modeling, and AI to help utilities cut losses, protect quality, and manage water sustainably.