TwinEdge Water OS

Water OS for connected water treatment plant operations.

TwinEdge Water OS connects source water, treatment process, chemical dosing, lab and LIMS evidence, distribution, water quality, regulatory deadlines, maintenance, field work, CMMS/EAM, and governed AI into one operating layer for water utilities.

Water OS operating layerTreatment, quality, chemicals, distribution, maintenance, field work, and compliance operate from one plant spine.PlantQualityActionWATER PLANT SOURCESOPERATING SPINEACTION SURFACESConnectplant and utility systemsSCADASensorsLIMSGISCMMSPermitssource-to-evidenceReadiness, semantic KPIs, validation, evidence, governed AISource intakeraw waterTreatmentprocess unitsChemicalsdose + stockQualitylab + limitsObject registrySemantic KPIsValidation gateEvidence trailCommand centerincidents + prioritiesWork + fieldCMMS, routes, proofSampling routeschain of custodyCompliance packevidence + reportsWATER OPERATING SURFACESTreatment opsenvelopes, shift logs, optimizationChemical opsdosing, SDS, reorder, residualsQuality + regulatorysamples, MCLs, deadlinesDistributionpressure, storage, service areasWater lossDMA, NRW, bursts, leaksPublic safetyhydrants, backflow, noticesAI copilotexplainsdraftsvalidatesroutesapprovedWATER UTILITY OUTCOMESSafer waterquality risk visibleLower costchemicals + energyFaster responsework routed soonerAudit readyevidence by default

Treatment operations

Chemical dosing

Water quality

Distribution network

CMMS and field

Compliance evidence

Water OS is the operating system for water treatment, quality, distribution, and field action.

Workflow

How the water operating system works

Connect industrial sources, build trusted context, govern recommendations, and turn approved decisions into operational work.

Connect plant and utility systems

Bring SCADA, PLCs, sensors, historian tags, GIS, LIMS, lab results, permits, CMMS/EAM, maintenance records, field evidence, and regulatory deadlines into one water operating context.

Build one operating spine

Map source intake, process units, chemical systems, reservoirs, pressure zones, service areas, sampling locations, work, and compliance objects to semantic KPIs, validation gates, and evidence trails.

Turn context into governed action

Use command-center workflows, AI copilots, treatment recommendations, sampling routes, work orders, chemical reorder paths, water-loss investigations, and compliance packs with approval and replay.

Capabilities

Water OS capabilities

Water OS is the operating package that connects water treatment plant operations with quality, compliance, distribution, maintenance, and field execution.

Treatment command center

Operator views for source protection, intake, coagulation, filtration, disinfection, clearwell storage, distribution pump stations, incidents, alarms, shift handoff, and priority actions.

Chemical and process optimization

Dose targets, residuals, jar tests, SDS context, chemical inventory, reorder workflows, process envelopes, engineering audit paths, and operator-approved optimization runs.

Quality, lab, and regulatory evidence

Sampling plans, batches, results, QA/QC, chain of custody, MCLs, exceedances, regulatory calendar, obligations, PFAS, LCR, TCR, CCR, DMR, correspondence, and report evidence.

Distribution and water loss operations

Storage, pressure zones, PRVs, DMAs, NRW scorecards, minimum night flow, bursts, leaks, acoustic logger and satellite review, pressure management, and service-impact context.

Maintenance and field execution

AssetOps EAM, work orders, PMs, route sequencing, mobile field work, hydrant inspections, backflow tests, instrument maintenance, photos, measurements, closeout, and audit-ready field evidence.

Spine, readiness, and governed AI

Canonical water objects, identity resolution, source readiness, semantic KPIs, object 360 profiles, validation gates, operations health, evidence lineage, AI copilot, approvals, and replay.

Operating spine

One water context for the plant and the utility

Water OS connects plant process context with quality, distribution, maintenance, field, and compliance workflows so recommendations can become traceable action.

Source-to-distribution model

Source protection, intake, treatment units, chemical dosing, storage, pressure zones, customer taps, hydrants, backflow devices, and sampling points are represented as connected operating objects.

Semantic KPIs and validation

Energy intensity, chemical cost, water quality confidence, PM compliance, sample lifecycle, source coverage, readiness, and route gaps are validated before operational action.

Evidence that follows the work

Telemetry, lab evidence, operator notes, field photos, CMMS activity, regulatory obligations, and AI recommendations remain connected for audit, replay, and reporting.

Workflows

Water treatment workflows that move from signal to action

These are the operating loops a treatment plant team runs every day.

Quality exception to corrective action

An exceedance or forecast risk links to affected process units, samples, limits, operator review, field task, corrective action, and report evidence.

Chemical stockout to purchase and dose plan

Chemical demand, residual trends, tank inventory, SDS, vendors, reorder rules, purchase path, and dose changes are visible before operators approve a change.

Network issue to field response

Pressure, DMA, water-loss, hydrant, backflow, and customer-impact context routes investigation, work orders, sampling routes, and public notice workflows.

Water OS scope

Water treatment plant operating system coverage

The scope stays focused on source-to-tap treatment, quality, distribution, maintenance, field execution, and compliance workflows.

Source protectionRaw water intakeCoagulationFiltrationDisinfectionClearwell storageDistribution pump stationsPressure zonesPRVsDMAsNRWBursts and leaksChemical dosingJar testsResidual monitoringSDS libraryChemical reorderLab samplesChain of custodyQA/QCMCL monitoringPFASLead and Copper RuleTotal Coliform RuleConsumer Confidence ReportRegulatory calendarHydrantsBackflowField routesWork ordersAssetOps EAMSemantic KPIsValidation gateAI copilotEvidence packages

Engineering controls

Engineering controls for industrial AI.

TwinEdge can show real telemetry, local inference, protocol flows, and agent traces without claiming uncontrolled autonomy or SCADA replacement.

Read-only first

Physical writeback is disabled by default and recommendations pass through approval gates.

Replayable evidence

Plans, diffs, source context, and approval history remain available for review.

Deployment choice

Cloud-connected, local, and offline paths support evaluation without forcing one architecture.

Source system respect

TwinEdge works above SCADA, historians, CMMS, GIS, LIMS, ERP, and data lakes rather than pretending to replace them all.

Outcomes

Why water utilities use it

The benefit is operational coordination: fewer disconnected screens, faster action from evidence, and compliance context that stays attached to the work.

Operators and supervisors

See plant state, quality risk, chemical status, distribution impacts, incidents, recommendations, and work links without switching across SCADA, LIMS, GIS, CMMS, and spreadsheets.

Water quality and compliance teams

Trace every result, exceedance, obligation, deadline, corrective action, and report package back to source evidence and approved operational context.

Utility leadership

Understand risk, backlog, chemical cost, water-loss exposure, compliance readiness, and response performance from one operating picture.

Connected platform

How Water OS works with existing utility systems

Water OS does not replace every operational system. It gives treatment plant teams one governed operating layer across data, decisions, work, and evidence.

SCADA, PLC, historian, sensor, GIS, LIMS, lab, CMMS/EAM, permit, and customer systems keep their role.

Water OS maps those systems into source, treatment, chemical, quality, distribution, asset, work, and compliance objects.

Command center, sampling routes, maintenance work, field closeout, chemical reorder, and compliance packs use the same evidence.

AI recommendations stay governed with validation gates, approvals, audit history, and replay.

ERP, procurement, SAP, Oracle, Microsoft Dynamics, REST, and MCP integrations move approved context into enterprise workflows.

Edge and cloud deployment options support plant, utility, and offline operating needs.

Evaluate TwinEdge

Reduce utility fragmentation with one operating layer.

Start with a treatment plant and its connected quality, chemical, distribution, maintenance, and compliance workflows, then expand across the utility using the same governed Water OS spine.