Advanced Water Engineering

Advanced Hydraulics and Digital Water Services

IDEA-RT transforms hydraulic knowledge, network data and digital technologies into transparent engineering decisions. At the core of this approach is the Phenomenological Twin: a physics-based digital representation of the water distribution system, designed to support Control Rooms, API-driven workflows and the digital transition of water utilities.

Physics-based digital representation

The Phenomenological Twin

A conventional Digital Twin combines a physical system, its digital representation and the communication channels that connect data, models and operational processes. In water distribution systems, however, a purely data-driven replica is not sufficient. Hydraulic behaviour is governed by deterministic physical laws, pressure-demand interactions, leakage mechanisms, topological constraints and operational rules.

The physical core of the Digital Twin

IDEA-RT extends the Digital Twin concept through the Phenomenological Twin: a digital representation whose computational core is based on advanced hydraulic modelling and engineering knowledge.

  • Network topology, assets and operating devices
  • Sources, tanks, pumps, valves and control rules
  • Georeferenced users and service connections
  • Hydraulic, telemetry and monitoring data
  • Pressure- and deterioration-dependent leakage
  • GIS information and asset records

Complementary intelligence

Complex-network theory, evolutionary optimization and machine-learning techniques are integrated in a complementary way. They do not replace the hydraulic model; they improve calibration, interpretation, scenario exploration and decision support under engineering supervision.

  • Complex network analysis
  • Multi-objective optimization
  • Symbolic and classical machine learning
  • Sensitivity and uncertainty analysis
  • Decision-support workflows
Data describe what happened. The Phenomenological Twin explains why it happened. Digital Water Services help engineers decide what to do.
Beyond conventional simulation

Advanced Hydraulic Modelling

Traditional demand-driven models assume that requested demand is always fully supplied, regardless of the actual pressure available. IDEA-RT advanced hydraulics adopts a pressure-driven and physically consistent approach, suitable for normal and abnormal operating conditions.

Pressure-driven analysisDelivered demand depends on the actual pressure available to users.
Leakage modellingLeakage is represented as a function of pressure, deterioration and pipe condition.
Topology-aware simulationDisconnected areas and pipe closures are identified before and during analysis.
Extended-period simulationSystem behaviour is analysed over representative operating cycles and time scales.

Users at the centre of the model

Conventional models aggregate customer demand at hydraulic nodes. The Phenomenological Twin preserves the relationship between each georeferenced user and the physical network, enabling service-level analysis at user scale and progressive integration with smart-meter data.

  • Individual users and service connections
  • Georeferenced consumption profiles
  • Pressure-dependent service assessment
  • Smart-meter readiness
  • Consistency between GIS and hydraulic entities

Leakage as a physical process

Leakage is not treated as a fixed percentage added to demand. It is distributed at pipe level and linked to pressure, pipe material, age, deterioration, failure history and operational conditions.

This allows the separation of benefits attributable to rehabilitation, pressure management, district metering, operational changes and combined strategies.

Engineering applications

Digital Water Services

IDEA-RT Digital Water Services are specialized engineering applications built on the same Phenomenological Twin. Each service addresses a specific technical or management question, while sharing a common physical, hydraulic and information foundation.

DigitalWaterDomain Analyzer

Hydraulic and topological domain identification, reachability analysis, connected components and source-to-user relationships.

DigitalWaterIVS Vulnerability

Isolation-valve system analysis, affected users, incomplete isolation and service interruption assessment.

DigitalWaterMassCalibration

Water-balance reconciliation, multi-objective calibration, monitoring-data integration, sensitivity and uncertainty assessment.

DigitalWaterVirtualDMA

Identification of naturally aggregated network areas, candidate monitoring sections and preliminary district boundaries.

DigitalWaterDMADesign

Engineering design of District Metered Areas, boundary selection, meter and valve positioning, pressure and service checks.

DigitalWaterDMABalance

District water balance, leakage-performance indicators, typical-day comparison and abnormal-condition detection.

DigitalWaterRehabilitation

Hydraulic, deterioration and investment-based rehabilitation planning with multi-objective optimization and efficient alternatives.

DigitalWaterBursts

Analysis of abnormal hydraulic behaviour, affected areas, users, isolation scenarios and emergency-response options.

DigitalWaterWorks

Hydraulic and service-impact assessment of planned works, temporary closures and alternative supply configurations.

DigitalWorksPlanning

Integrated planning of works, hydraulic compatibility, temporary configurations, operational risk and sequencing.

Control Room & API Architecture

Connecting data, computation, applications and people

The IDEA-RT Control Room concept is based on four interoperable macro-layers. The API architecture orchestrates data exchange, analysis workflows and access to Digital Water Services.

1. Data Layer

GIS, SCADA, telemetry, pressure and flow sensors, smart meters, asset data, failure records and technical documents.

2. Computation Layer

Phenomenological Twin, advanced hydraulic simulations, network analysis, calibration, optimization and scenario assessment.

3. Integration Layer

APIs, workflow orchestration, standardized exchange, decoupled services, automation and scalable application deployment.

4. Visualization Layer

GIS navigation, dashboards, performance indicators, scenario comparison, alerts, issue tracking and operator interfaces.

Acquire Validate Integrate Simulate Analyse Compare Decide Document
Human-centred digital transition

Machines in the Loop of Humans

IDEA-RT follows a human-centred paradigm. Digital tools process data, execute simulations, compare alternatives and automate repeatable analyses, but objectives, constraints, priorities and responsibilities remain with engineers and utility managers.

The correct paradigm is not humans in the loop of machines, but machines in the loop of humans.

Decision support

From “What If?” to “What To Do”

Traditional simulation asks what happens under a given scenario. The IDEA-RT approach goes further by combining hydraulics, network theory, optimization and decision support to identify technically feasible alternatives under economic, operational and service constraints.

The output is not an automatic decision, but a transparent set of alternatives, indicators and trade-offs.

Digital Twin as a Service

One verified digital representation, many engineering services

The IDEA-RT platform transforms the Digital Twin from a static model into an operational service ecosystem. The same Phenomenological Twin can support daily operations, calibration, DMA design, burst analysis, works planning, rehabilitation and long-term asset management.

Operational

Incident assessment, burst analysis, isolation planning, temporary works and service-impact evaluation.

Tactical

Calibration, district design, pressure management, monitoring strategies and network segmentation.

Strategic

Rehabilitation planning, asset management, investment prioritization and digital-transition roadmaps.

IDEA-RT philosophy

Innovation · Decision · Environment · Awareness

IDEA-RT transfers scientific research into practical engineering tools designed to improve the effectiveness, efficiency and sustainability of water-infrastructure decisions.

Innovation

Advanced methodologies derived from hydraulics, hydroinformatics, complex networks, optimization and machine learning.

Decision

Digital tools designed to support transparent, physically consistent and technically accountable decisions.

Environment

More efficient use of water and energy, lower leakage and improved sustainability of infrastructure investments.

Awareness

Clear understanding of system behaviour, data limitations, uncertainty, trade-offs and consequences.

Transform network data into engineering decisions

Discover how the IDEA-RT Phenomenological Twin, Digital Water Services and Control Room API architecture can support the digital transition of your water utility.