Water Infrastructure — Capability & Use-Case Intelligence (Light)
Capability & Use-Case Intelligence · Water Infrastructure
What asset management and digital engineering do on water infrastructure.
A use-case catalog organized by infrastructure class — distribution networks, sewers, treatment plants,
dams, and stormwater systems. Each card names the application, what it runs on, and what it changes in
operations.
AM — asset management capabilityDE — digital engineering capabilityCross-cutting platform capability
CLASS · 01 Drinking Water Distribution
Buried pipe you can’t see, losing water you’ve already treated.
Distribution networks are the sector’s largest asset value and its blindest spot —
much of the pipe is beyond design life, and non-revenue water routinely runs 20–40% in older systems.
The use cases center on finding leaks, predicting breaks, and choosing which mains to replace.
Mains, valves, meters & pump stations
Trunk & distribution mains · DMAs · Service lines
DE · Predictive ML
Pipe failure prediction & main replacement targeting
Break history, pipe material and vintage, soil conditions, and pressure data modeled to score failure probability per segment — replacing worst-first-by-age with worst-first-by-risk in the renewal program.
ChangesBreaks avoided per mile replaced doubled or better; renewal capital defensible to regulators
DE · Acoustic sensing
Acoustic leak detection & correlator networks
Fixed acoustic loggers and correlators on the network detecting and locating leaks by their noise signature — finding the background leakage that never surfaces and pinpointing it for repair crews.
ChangesNon-revenue water cut; leaks fixed before they become main breaks and sinkholes
DE · Network analytics
DMA night-flow & smart meter leakage analytics
District metered area flow balancing and AMI consumption data isolating which zones are losing water — separating real losses from apparent losses (meter under-registration, theft) so each gets the right fix.
Runs onDMA flow meters, AMI/smart meter data, billing records, minimum night flow analysis
ChangesLeakage teams dispatched to the worst zones first; apparent losses recovered as revenue
DE · Twin
Hydraulic network twin & pressure management
A calibrated hydraulic model running against live SCADA to optimize pressure zones — every meter of excess pressure removed cuts both leakage and break rates, the cheapest leakage intervention available.
Runs onHydraulic model, SCADA pressure/flow, PRV settings, elevation data
ChangesLeakage and break frequency down from pressure optimization alone; energy for pumping cut
AM · Integrity
Large-diameter trunk main condition assessment
Electromagnetic, acoustic, and robotic inspection of critical transmission mains (PCCP wire breaks, metallic wall loss) — the pipes whose failure floods neighborhoods and cannot simply be dug up on suspicion.
Runs onIn-pipe electromagnetic/acoustic tools, PCCP wire-break monitoring, design records
ChangesCatastrophic trunk failures pre-empted; repairs targeted to distressed segments only
AM · Compliance
Service line inventory & lead replacement programs
Records research, predictive modeling, and field verification building the service-line material inventory and sequencing lead replacement — a regulatory mandate that is fundamentally an asset-data problem.
Runs onTap records, parcel/era data, ML material prediction, field verification results
ChangesCompliance deadlines met with fewer exploratory digs; replacement crews sequenced efficiently
CLASS · 02 Wastewater Collection
Gravity networks fail slowly, then all at once — usually into a river or a basement.
Sewer systems degrade by corrosion, root intrusion, and blockage, and their failures
are public: overflows, backups, and collapses. Use cases center on seeing inside the pipe and predicting
where trouble forms.
Sewers, manholes & lift stations
Gravity mains · Force mains · Pump/lift stations
DE · Inspection AI
AI-coded CCTV sewer inspection
Machine vision applied to CCTV crawler footage detecting and grading cracks, roots, infiltration, and deposits to standard coding schemes — removing the human coding bottleneck and inconsistency that limits inspection programs.
Runs onCCTV footage, defect coding standards (PACP/WRc), pipe asset records
ChangesInspection throughput multiplied; condition grades consistent across contractors
DE · Predictive ML
Blockage & overflow prediction
Level sensors in high-risk manholes plus blockage history and rainfall data predicting where fat/rag accumulations and capacity problems will cause spills — dispatching jetting crews ahead of the overflow.
ChangesSewer overflows (and their fines and headlines) cut; cleaning moved from cyclic to targeted
AM · Renewal
Sewer condition-based rehabilitation planning
Condition grades, criticality (depth, location, consequence), and deterioration curves sequencing the lining and replacement program — choosing between trenchless rehab and dig-up per segment.
ChangesCollapse-risk segments intercepted; rehab budget stretched via trenchless-first targeting
DE · Analytics
Infiltration & inflow (I/I) source isolation
Flow monitoring during dry and wet weather isolating which catchments admit the most groundwater and stormwater — targeting sealing and lateral programs where they remove the most flow from treatment.
Runs onTemporary/permanent flow monitors, rainfall correlation, smoke/dye test results
ChangesTreatment and pumping costs cut; wet-weather overflow frequency reduced at the source
DE · Predictive ML
Lift station pump health analytics
Pump run-time, current draw, and vibration data across hundreds of unmanned stations predicting ragging, wear, and impending failures — the assets whose failure backs sewage into homes.
Runs onStation SCADA/telemetry, pump curves, run-time & current signatures
ChangesStation failures and emergency callouts down; pump overhauls scheduled on condition
AM · Integrity
Force main & siphon integrity programs
Condition assessment on pressurized sewer mains — the highest-consequence, least-inspected pipes in the system, where failure means an immediate large-volume spill with no gravity fallback.
ChangesForce-main ruptures pre-empted; inspection prioritized by consequence modeling
CLASS · 03 Treatment Plants
Process plants with a permit — where chemistry, energy, and equipment meet.
Water and wastewater treatment plants combine rotating equipment, process control,
and continuous compliance obligations. Use cases mirror industrial process plants, tuned to permit
limits and energy intensity.
Ammonia-based and model-predictive control of blowers and aeration — the single largest energy load in wastewater treatment, routinely over-aerated by default control strategies.
Runs onDO/ammonia sensors, blower telemetry, process models, load forecasts
ChangesAeration energy cut 15–30% typical; permit compliance held through load swings
DE · Predictive ML
Pump, blower & rotating equipment health analytics
Vibration, current, and performance-curve monitoring across the plant’s pumps, blowers, and centrifuges — the same condition-monitoring stack as any process plant, aimed at permit-critical equipment first.
Runs onVibration/current sensors, SCADA, pump & blower curves, maintenance history
ChangesPermit-risking equipment failures pre-empted; maintenance moved into planned windows
DE · Soft sensing
Water-quality soft sensors & dosing optimization
ML models inferring hard-to-measure quality parameters from cheap surrogates, optimizing coagulant and chemical dosing against raw-water variability — cutting chemical spend while protecting finished quality.
Runs onOnline quality instruments, lab results, dosing pump data, raw water monitoring
ChangesChemical costs down; quality excursions caught before they reach the network
AM · Lifecycle
Plant asset criticality & renewal programming
Criticality analysis across process trains identifying single points of failure and sequencing the renewal of assets installed in the same decade and now aging out together.
ChangesRenewal bow-wave smoothed across budget cycles; single-point failures given redundancy first
AM · Compliance
Permit compliance & event forensics
Continuous monitoring data structured into compliance evidence, with excursion forensics linking permit events to their equipment or process cause — the record that stands up to the regulator.
ChangesViolations and penalties reduced; root causes fixed rather than re-reported
DE · Twin
Plant digital twin for upgrades & operator training
Process and 3D models of the works used to design capacity upgrades within live plants, rehearse shutdown sequences, and train operators on scenarios too risky to practice on the real process.
Runs onProcess simulation models, laser-scan/BIM capture, control system emulation
ChangesUpgrade tie-ins de-risked; operator competence built off-line
CLASS · 04 Dams, Reservoirs & Conveyance
The highest-consequence assets in the sector — monitored for movement measured in millimeters.
Dams and large conveyance fail rarely but catastrophically. The discipline is
continuous surveillance: knowing that seepage, deformation, and structures are behaving as designed,
decades after design.
Dams, spillways, tunnels & aqueducts
Embankment & concrete dams · Gates · Raw water conveyance
DE · Monitoring
Automated dam safety instrumentation & anomaly detection
Piezometers, seepage weirs, inclinometers, and crack meters streamed and trended against expected-behavior envelopes — replacing monthly manual readings with continuous surveillance and automatic anomaly flags.
ChangesDeveloping failure modes flagged in days not months; surveillance evidence continuous
DE · Remote sensing
InSAR & drone deformation surveys
Satellite InSAR time series and repeat drone photogrammetry measuring millimeter-scale movement across the dam body, abutments, and reservoir rim — full-structure coverage between instrumented points.
Runs onInSAR time series, UAV photogrammetry, survey monument history
Failure-mode analysis and consequence modeling ranking investigation and remediation across a portfolio of aging dams — directing limited dam-safety budgets at the highest risk-reduction per dollar.
ChangesRemediation sequenced by quantified risk; regulator and board confidence evidenced
AM · Mechanical
Spillway gate & valve reliability programs
Condition assessment, exercise testing, and obsolescence management on gates, hoists, and large valves — equipment that must work on demand during the flood it has waited decades for.
Runs onExercise test records, NDT on structures & wire ropes, spares/obsolescence registers
ChangesOn-demand gate failure risk cut; rehabilitation planned before obsolescence forces it
DE · Inspection tech
Tunnel, aqueduct & large conveyance inspection
ROV, sonar, and LiDAR inspection of raw-water tunnels and aqueducts — often inspectable only during rare outages, making each entry a data-capture event that must feed years of decisions.
ChangesOutage windows fully exploited; lining deterioration tracked quantitatively between entries
DE · Forecasting
Reservoir operations & inflow forecasting
Hydrological forecasts and optimization models balancing supply security, flood control, and environmental releases — increasingly stressed by climate volatility beyond the historical record the rules were written on.
ChangesSupply reliability held through droughts; pre-releases timed ahead of flood inflows
CLASS · 05 Stormwater & Flood Systems
Designed for yesterday’s storms, operating in today’s.
Urban drainage, levees, and pump stations face rainfall intensities beyond their
design basis. Use cases combine real-time control of what exists with evidence for what must be
rebuilt.
Real-time control of storage & combined sewer systems
Rainfall nowcasts and network level sensors dynamically operating gates, weirs, and storage to use the whole system’s capacity during storms — cutting combined sewer overflows without building new tanks.
Runs onRadar rainfall nowcasts, level/flow sensors, actuated gates, hydraulic model in the loop
ChangesOverflow volumes cut double digits from existing assets; storage capital deferred
DE · Flood intelligence
Flood forecasting & drainage twin
Coupled rainfall-runoff and network models forecasting street-level flooding hours ahead — driving crew pre-positioning, gate operations, and public warnings from the same model used for capital planning.
ChangesFlood response pre-emptive rather than reactive; capital schemes tested against real events
AM · Levees
Levee & embankment integrity programs
Geophysical survey, vegetation and burrow inspection, InSAR settlement tracking, and seepage monitoring across levee miles — building the risk-ranked remediation case for systems certified decades ago.
ChangesWeak reaches found before the flood does; certification and accreditation evidence built
AM · Readiness
Flood gate & pump station readiness assurance
Exercise testing, condition monitoring, and standby power assurance on flood barriers and storm pump stations — on-demand assets whose only acceptable failure rate during an event is zero.
ChangesEvent-time failures cut; readiness evidenced to insurers and emergency planners
AM · Adaptation
Climate exposure & adaptation capital planning
Updated rainfall statistics and sea-level scenarios run against the existing asset base to quantify the adaptation gap — the evidence base for resilience funding and design-standard updates.
ChangesAdaptation investment ranked by risk reduced; funding cases quantified and defensible
DE · Inspection tech
Culvert & outfall condition capture
Crawler, sonar, and drone inspection of the culverts and outfalls that fail invisibly under roads and railways — assets frequently missing from registers entirely until they collapse.
ChangesUnknown assets registered and graded; collapse-driven road closures pre-empted
PLATFORM · 06 Cross-Cutting Capabilities
The layer underneath every use case above.
Four platform capabilities determine whether the asset-class use cases scale beyond
pilots. Weakness here is the usual reason individual use cases stall.
Platform · P-01
Asset register & GIS data foundation
A single trusted inventory of buried and above-ground assets — location, material, vintage, condition history — with the hydraulic model and GIS kept in sync. Every analytics use case inherits its quality ceiling here.
Applies to: every use case in this catalog; the first investment when records live in paper archives, tribal knowledge, and mismatched GIS layers.
Platform · P-02
SCADA/telemetry integration & historians
Governed collection from plant SCADA, network sensors, AMI, and rainfall systems into analytics environments — contextualized to asset and location rather than raw tag streams.
Applies to: all monitoring, predictive, and real-time-control use cases; the usual bottleneck between one pilot DMA and the whole network.
Platform · P-03
OT cybersecurity for water systems
Segmentation, monitoring, and integration governance for treatment and network control systems — a sector with documented intrusion attempts, where a compromised dosing controller is a public-health event.
Applies to: any use case touching SCADA, PLCs, or dosing/pumping control; non-negotiable as remote sites and sensors are connected.
Platform · P-04
Decision-support / EAM integration layer
Where condition data, models, and risk logic converge into work orders, renewal programs, and regulatory submissions inside the EAM/works-management stack.
Applies to: converting every detection use case into scheduled, costed intervention — the last mile that realizes the value.
MAP · 07 Capability × Infrastructure Matrix
Where each capability is core, growing, or emerging.
A scoping aid: read down a column for one infrastructure class’s use-case stack;
read across a row to see where a capability investment reuses.
Capability
Distribution
Wastewater
Treatment
Dams & Conveyance
Stormwater
Acoustic / leak & blockage sensing
Predictive ML on assets
Hydraulic / process digital twin
In-pipe / robotic inspection
Satellite sensing (InSAR / imagery)
Real-time control & optimization
Risk-based renewal / rehab planning
Geotechnical instrumentation & ADAS
Smart metering / AMI analytics
Records digitization & as-built capture
Core — established, widely deployedGrowing — scaling from early adoptersEmerging — pilots and niche deployment