Coastal Bend Regional Water Authority — Network Overview
AI Operations Intelligence for Water & Wastewater Utilities
-0.8 pts vs prior month
AI-derived composite of water quality compliance, asset availability, energy efficiency and process efficiency, weighted by treated volume.
1 turbidity excursion, WTP-1
Blower #2 derate since day 12
1,412 kWh/MG vs 1,240 target
Aeration efficiency 9% below optimal
AI Executive Summary
AI 90%System performance is currently 9% below optimal capacity. Aeration Blower #2 at the Water Reclamation Facility is showing a bearing wear signature with an estimated $148,000 annual energy impact if uncorrected, Lift Station 14 is showing early pump wear with SSO exposure on peak wet-weather flow, and the WTP-2 sodium hypochlorite day tank is approaching its replenishment threshold with a 9-day supplier lead time.
Network → Facility → Process Area → Asset
1,840 monitored assets rolled up by condition. Drill into any facility to reach the asset level.
YTD Value & ROI
Five value streams, ranked by contribution. Energy from optimized aeration and pumping is the largest line item and the primary ROI lever in wastewater treatment.
Demo environment · values shown are realistic estimates, not audited financials
Financial values are estimates derived from modeled and measured plant data.
Top Performance Issues
Every issue carries the failure signature that produced it, the AI confidence, and the financial consequence of inaction.
Aeration Blower #2
Water Reclamation Facility · Aeration Basin 3
Bearing wear signature with compounding aeration energy penalty
Blower vibration: 6.8 mm/s (was 3.1 mm/s) · DO setpoint drift · 89% match to prior bearing failure signature
Aeration accounts for 54% of total plant energy at the WRF. Blower #2 is drawing 11.4% more kW per SCFM than 90-day baseline while holding DO 0.6 mg/L below the 2.0 mg/L setpoint in Basin 3. Vibration has trended up over 18 consecutive days on the drive-end bearing. Left uncorrected, projected failure window is 24–38 days, forcing single-blower operation and nitrification risk during peak diurnal load.
$148,000 / yr energy impact if uncorrected · process risk to ammonia removal
LS-14 Wet Well Pump A
Collection Network · Lift Station 14 (Harbor Bend)
Early impeller wear — elevated vibration with declining flow vs baseline
Vibration 5.4 mm/s (was 2.9 mm/s) · discharge flow −11% vs baseline at equal VFD speed · 84% match to impeller wear signature
Pump A is delivering 570 gpm where baseline hydraulics predict 640 gpm at 58 Hz, with rising run-time to clear the wet well. LS-14 serves 11,400 connections with no gravity relief; loss of Pump A during a wet-weather event drops firm capacity below projected peak inflow and creates sanitary sewer overflow exposure with associated regulatory liability.
$96,000 avoided SSO exposure · $18,400 avoided emergency pump replacement
Sodium Hypochlorite Day Tank
WTP-2 · Chlorine Feed
Fill level approaching replenishment threshold — PO auto-raised
Level 21% · consumption 143 gal/day · 4.1 days to threshold · supplier lead time 9 days
Level is monitored by an AIWTS TankChek / Electrolab-class level sensor and dosing is executed through a DCiii Mirador-class chemical injection controller. Consumption has run 9% above seasonal baseline due to elevated raw-water demand at WTP-2. AquaGuardian raised a replenishment PO at 24% fill to stay ahead of the 9-day lead time and avoid expedited freight.
$7,800 avoided expedited-delivery premium
UV Disinfection Bank 1
Water Reclamation Facility · Disinfection
Declining UV transmittance — sleeve fouling signature developing
UVT 71% (was 82% at last cleaning) · lamp power +14% to hold dose · 78% match to sleeve fouling profile
Bank 1 is compensating for reduced transmittance by driving lamp output higher, increasing energy draw and shortening lamp life. Fouling rate is consistent with the quartz sleeve wiper cycle drifting out of tune following the last outage. Dose margin above permit remains adequate but is narrowing at 1.4%/week.
$21,000 / yr lamp + energy waste · permit disinfection margin narrowing
Ask the network a question instead of hunting for the tag
Two assistants ship with AquaGuardian: a field copilot that answers technical questions against live plant data, and a support assistant for integration, hardware and commercial questions.
Field Copilot
AI 94%For operators, plant managers and maintenance leads. Ask about an asset's condition, why energy intensity moved, what a vibration signature means, or how much chemical runway is left — answered from the same telemetry the dashboards use, with sources attached.
- “What’s wrong with Aeration Blower #2?”
- “Why is our kWh/MG above target?”
- “Are we at risk of an NPDES exceedance?”
Support Assistant
For utility IT, engineering and procurement. Covers SCADA connectivity, AIWTS sensor hardware, deployment timeline, data security posture, pricing structure and how a pilot is scoped — with escalation to a WebnCodes specialist.
- “How do I connect my historian?”
- “Can it write setpoints to my DCS?”
- “What sensors do lift stations need?”
Connects to your existing SCADA and lift station telemetry in days, not months
No rip-and-replace. AquaGuardian sits above your control systems as a read-only intelligence layer.
Layer 1 — Your existing control systems
- Wonderware / AVEVA System Platform
- Inductive Automation Ignition
- GE iFix
- Emerson Ovation (plant DCS)
- Mission Communications (lift station RTUs)
- Rockwell / Siemens PLCs
Read-only. Nothing is replaced and no control logic is modified.
Layer 2 — Connector layer
- OPC-UA / OPC-DA bridge
- Modbus TCP & RTU
- Cellular IoT gateways for unmanned sites
- Historian batch export (SQL / CSV backfill)
- MQTT sparkplug for edge nodes
Deployed alongside the existing network. Typical stand-up: days, not months.
Layer 3 — AquaGuardian AI layer
- Asset condition & failure-signature models
- Energy and process efficiency baselining
- Compliance risk scoring
- Ranked recommendations with financial impact
- Executive and ROI reporting
Intelligence only. Operators keep control; AquaGuardian ranks and explains.
AIWTS sensor-to-edge hardware for remote and distributed assets
AI 94%Most lift stations are unmanned and depend on wireless telemetry. AIWTS supplies the sensor-to-edge hardware, AquaGuardian AI supplies the intelligence layer on top of it — a full sensor-to-AI stack rather than an AI-only overlay.
Pressure and wet-well level telemetry at remote, unmanned lift stations with no fiber or hardwired I/O.
Tank and reservoir level measurement where float and ultrasonic devices foul or drift.
Continuous hypochlorite, alum, and polymer day-tank level with consumption-rate trending.
Automated chemical dosing control, closed-loop against flow and residual targets.
Recommended AquaGuardian Upgrades
Each upgrade widens the data the AI layer can reason over. Confidence and financial attribution improve as measured data replaces modeled data.
Real-Time Water Quality Analyzer Integration
Streams turbidity, chlorine residual, dissolved oxygen, and pH continuously into the asset model instead of relying on periodic grab samples and lab returns.
Grab samples describe the plant hours after the fact. Continuous quality telemetry lets AquaGuardian separate an instrument problem from a genuine process excursion in minutes.
+9 pts water quality model confidence · earlier excursion detection
SCADA / Historian Production Data Integration
Pulls measured MGD flow, kW, and setpoint history directly from the historian rather than modeling throughput from asset condition alone.
Measured flow and energy replace inferred values in every ROI calculation, converting estimated savings into invoice-reconcilable savings.
Audit-grade energy and flow attribution
CMMS / Maintenance History Integration
Ingests work orders, parts consumption, and completed PM history for pumps, blowers, and valves.
Failure prediction improves sharply when the model knows what was rebuilt, when, and with which parts. Repeat-failure assets surface immediately.
+12 pts failure-prediction confidence
NPDES / Regulatory Compliance Telemetry
Adds permit-parameter tracking — effluent BOD, TSS, ammonia, and fecal coliform — into the same asset model as equipment condition.
Compliance and asset health stop being two separate views. Operations sees which piece of equipment is putting which permit parameter at risk.
Single compliance + asset view · exceedance risk scored daily
AquaGuardian add-on bots
Optional autonomous modules that run on top of the core AI layer. Click any bot for how it works, the data it consumes, and its guardrails — the first three ship with a live console in this demo.
Energy Optimization Bot
Highest valueTracks blower and pump energy against real-time flow demand and prices out savings from optimized run schedules, DO trim, and blower sequencing.
Typical: 8–14% reduction in kWh/MG
NPDES / Permit Compliance Reporting Bot
Auto-generates regulatory submission data from plant telemetry and flags exceedance risk before the sample is pulled, with an audit trail per parameter.
Typical: 30+ staff hours/month recovered
Chemical Dosing Optimizer Bot
Optimizes chlorine, polymer and alum dosing against real-time flow and quality targets rather than fixed setpoints, holding compliance margin at the lowest feasible dose.
Typical: 6–11% chemical spend reduction
Lift Station Overflow Prevention Bot
Predicts wet-well level trajectory against available pump capacity and forecast inflow to flag sanitary sewer overflow risk hours ahead.
Typical: SSO risk events intercepted 4–9 hrs early
Asset Lifecycle & PM Manager Bot
Maintains condition-based PM schedules and remaining-life estimates for pumps, blowers and valves, replacing fixed-calendar intervals with condition triggers.
Typical: 15–20% reduction in PM labor hours