Project Overview

Water analytics and Intelligent Sensing for Demand Optimised Management

The WISDOM (Water analytics and Intelligent Sensing for Demand Optimised Management) project aims at developing and testing an intelligent ICT system that enables "just in time" actuation and monitoring of the water value chain from water abstraction to discharge, in order to optimise the management of water resources.

The WISDOM project's unique selling point is the combined use of three key elements: the adoption of a semantic approach that captures and conceptualizes holistic water management processes, including the associated socio-technical dimensions (social networks interactions with physical systems).

The adoption of semantic modeling will enable to promote:

  • the (semi)automated control of the water system operation,
  • the computer-aided decision making for human intervention,
  • the data sharing among numerous components and tools, and
  • the integration of the water infrastructure functionalities,
  • the interfacing with other smart energy infrastructures and building systems.

The WISDOM project considers a holistic view of water management systems and processes across the entire water value chain, from abstraction to discharge as shown in Figure 1. Figure 2 expands on this by showing the relative costs of each are of the water value chain.

Figure 1: Water Value Chain Graphical Representation

Figure 2: Energy Cost vs Water Value Chain Process

The importance placed on the socio-technical dimensions of the water value chain is another key aspect of the WISDOM project. To this end, the influences of water customers' usage characteristics and how they interact with the water network will be considered in the overall view of the water value chain.

Pilots Projects – in Wales (United Kingdom) and La Spezia (Italy) will be used to show the benefits that the WISDOM system can bring in terms of; water network knowledge, demand management and resource management. A full-scale experimental facility in France (AQUASIM) will also be used to validate some of the services provided by the WISDOM solution before being installed, monitored and evaluated in the pilots projects.

These results will be used to identify how the project can be replicated throughout all countries and differing European climatic areas. This will enable the development of effective business models for the implementation of the WISDOM system.

WISDOM, is a research and demonstration project funded under the EU 7th Framework Program which started in February 2014 and will run for 3 years.

WISDOM is a member of the ICT4Water Cluster ( consisting of ten projects, who all work on smart water technologies to ensure access to sufficient and clean drinking water for current and future generations.

Project objectives

The WISDOM project aims at achieving a step change in water and energy savings via the integration of innovative Information and Communication Technologies (ICT) frameworks to optimize water distribution networks and to enable change in consumer behaviour through innovative demand management and adaptive pricing schemes.

More specifically we aim to develop a sophisticated ICT system that is able to understand, monitor, and control the water network.

We aim that the WISDOM solution will be able to:

  • To collect real-time data about water consumption at domestic, corporate and city level.
  • To deliver an ICT framework for real-time and predictive water management at domestic, corporate and city level.
  • To provide a Water Decision Support Environment to enable professionals within the water industry to visualise, manage and optimise the water system.

At a global level, the objectives of the WISDOM project are to:

  • increase user awareness and modify behaviours concerning the use of water,
  • achieve quantifiable and significant reduction of water consumption,
  • achieve peak-period reduction of water and energy distribution loads,
  • improved resource efficiency and business operations of water utilities due to ICT,
  • contribute to the improvement of the environmental performance of buildings.

Project Developments

The first step of the project has consisted in performing a stakeholder oriented requirement capture process within the two pilot sites and the AQUASIM testing facility.

Based on the characteristics of each pilot an analysis of the water value chain was performed, taking in account the assets, processes and technologies utilised in the pilots.

Based on this understanding of the water value chain a detailed consultation with pilot partners, stakeholders and end users the project has been carried out to target a series of scenarios for optimization

These scenarios can be grouped into three key categories:

  • Demand Improvement: In this scenario we propose that the current trend of ever increasing demand on water networks can be reduced by utilizing; (a) innovative consumer engagement to reduce the total and peak demand on the water network (b) real-time monitoring technologies to allow customers to detect leaks within their property and (c) real-time monitoring technologies to help home owners and water suppliers understanding the impact of advanced water saving devices in the home/business.
  • Better Understanding of the State of the Water Network: In this scenario we propose that the operations of water suppliers can be made more efficient (in terms of both cost and water consumption) by; (a) utilising real-time monitoring technologies to discover knowledge about the state of both the clean and waste water network (b) utilising data fusion an analytics to infer and calculate new knowledge that is not directly available (c) using this knowledge to perform real time rapid network leak detection and (d) expand available data with dynamically acquired information from social networks and other crowd-sourcing platforms.
  • More Efficient Resource Management: In this scenario we propose that water suppliers can be more resource efficient (in terms of water and energy) by the use of: (a) intelligent optimisation and decision support technologies for use within both the clean and waste water network (b) tools to optimise service reservoir levels, pumping schedules/strategies, water usage and energy consumption within both the clean and waste water network.

Based on these scenarios and on the characteristics of the pilots within which they are deployed a series of business services that will provide WISDOM's functionality to its end users have been defined.

The WISDOM system architecture has been proposed to support the envisioned business services. This architecture has been developed with three key goals:

  • to fulfill the requirements of deploying the business service in the planned pilot environments,
  • to be extensible enough to enable a diverse set of novel business services beyond those envisioned in the project and
  • to accommodate a diverse set of water network deployments.
The development of the WISDOM platform has progressed. A large proportion of the key system components have been implemented (including data storage and security components). This has also included the development of two user interfaces – one for network operators and one for consumers, both of these interfaces are currently being developed. 
Additionally, the development of the WISDOM ontology has also begun and a first version has been produced. The work of developing the innovative algorithms that are at the core of delivering the WISDOM system has begun. The algorithms being developed by the project include: (a) the ability to localize leaks, (b) data driven approaches to modelling the water network, (c) water usage disaggregation and (d) innovative optimisation approaches to optimise the operation of water networks.
The WISDOM pilot enhancements have been rolled out across the pilots in Italy and Wales.

Project Special Interest Group

The SIG's objectives are threefold: validation of WISDOM development choices; contribution and expertise on ongoing WISDOM tasks; and dissemination of WISDOM business solutions and scientific results. Moreover, the participation of exterior parties contributes to ensuring the replicability and scalability of the final WISDOM solutions.
In order to achieve these objectives, the SIG is composed of diverse profiles, from potential beneficiaries of the WISDOM services (water consumers, water network operators, local authorities, ...) to experts on related topics (water management, water products, ICT solutions, ...).

To date, the list of SIG members (ie. having signed a Non-Disclosure Agreement) is comprised of:

The WISDOM project aims at optimising the management of water resources by addressing water issues in both the network management itself and the end-user consumption (business or home-owner). This will be achieved by means of ICT solutions based on a semantic approach capturing and conceptualizing holistic water management processes across the entire water value chain.

Whether you are a potential beneficiary of the WISDOM services (water consumer, water network operator, local authority, …) or an expert on related topics (water management, water products, ICT solutions, …), you can contribute to on-going developments and help us ensure the validity, replicability and scalability of the WISDOM solutions.

On the duration of the WISDOM project, four SIG events are to take place. At this point, the following events have taken place:

If you wish to participate in technical workshops with our Special Interest Group, please join us.

Project tasks

WP1: Users needs, Use Cases and Business Scenarios

Lead by: IDRAN Ingegneria e Tecnologie S.r.l.


  • Gather socio-economic data and knowledge concerning the two WISDOM pilots in order to understand current limitations and requirements across Water value chain.
  • Evaluate and assess existing / new components and systems to develop an integrated water management approach.
  • Identify and analyse existing high performance numerical simulation and analysis models to enable innovative integration of these systems across the water value chain.
  • Adapt and enhance existing smart signal processing algorithms and methods for water management.
  • Provide a socio-technical specification of the WISDOM solution, including use cases, sequence / activity diagrams supported by a comprehensive system architecture highlighting the software and hardware components, strategic interdependencies and coupling, protocols, and languages.

Tasks list:

  • Task 1.1: Requirement capture across the water value chain 
  • Task 1.2: Domestic, Corporate and City water systems and components integration strategy
  • Task 1.3: Specify WISDOM system architecture, software and hardware components

Deliverables list:

  • D1.1 Stakeholder Oriented Socio-technical and Business Requirement Capture (download)
  • D1.2 Domestic, Corporate and City water systems and components integration strategy
  • D1.3 Software Requirement Specification (download)

WP2: Reliable (near) Real-time Analytics Architecture

Lead by: INTEL Corporation (UK) Limited.


  • Design the necessary architectural foundations to enable knowledge integration and predictive water management at domestic, corporate and at city level. 
  • Provide the underpinning environment for the integration of advanced analytics services and algorithms developed in WP3 and their further exploitation as part of the envisioned pilots in WP4. To this end WP2 will deliver a distributed sensor actuator middleware together with a secure cloud and data storage functionality.
  • Development of an underlying water semantic model.
  • Offer a visualisation support for the realisation of envisioned WISDOM business services.

Tasks list:

  • Task 2.1: Framework design
  • Task 2.2: WISDOM Water Semantic Models
  • Task 2.3: System development – Data acquisition, Fusion and Analytics
  • Task 2.4: System development – Data storage and security
  • Task 2.5: System development- WISDOM Interface and Visualization Environment

Deliverables list:

  • D2.1 Wisdom software and hardware detailed system design (download)
  • D2.2 Wisdom Water Semantic models
  • D2.3 Data acquisition, Fusion and Analytics
  • D2.4 Data storage and security
  • D2.5 WISDOM Interface and Visualization Environment

WP3: Water Analytics, Data filtering & Fusion, and Trustworthiness

Lead by: Cardiff University.


Specify and implement the software frameworks to deliver the analytics components of the WISDOM system including:  
  • Integration of predictive simulation models for the clean and waste water network. 
  • Development of analytics components to analyse and respond to the current state of the water network.
  • Integrating demand management technologies and innovative pricing schemes. 
  • Develop data mining and fusion schemes. 

Tasks list:

  • Task 3.1: Water Rule-based Engine
  • Task 3.2: Sensor Data Fusion, Reliability and Trust Framework
  • Task 3.3: Water Optimization Module
  • Task 3.4: WISDOM Operational and Business Services: accounting for Energy Usage and Customer Demand

Deliverables list:

  • D3.1 Water Rule-based Engine
  • D3.2 Sensor Data Fusion, Reliability and Trust Framework
  • D3.3 Water Optimization Module
  • D3.4 WISDOM Operational and Business Services

WP4: Stakeholder Centred Real-Life Demonstration and Testing

Lead by: City of Cardiff Council.


The aim of WP4 is to provide a real-life demonstration and testing of the WISDOM concept solution using an experimental full-scale facility and two pilot demonstrators. WP4 addresses the 4 following objectives:

  • Develop a shared vision amongst pilot stakeholders
  • Deploy the specified pilot water technology enhancements
  • Deploy the ICT interoperability framework
  • Model and asses at building scale the environmental impacts of the technologies before validation at real scale

Tasks list:

  • Task 4.1: Establish a common understanding among district water stakeholders
  • Task 4.2: Deploy specified water pilot enhancement technologies
  • Task 4.3: Configure and Deploy WISDOM Operational and Business Services
  • Task 4.4: Monitor Demonstrator pilots and manage resulting data for follow-on validation.

Deliverables list:

  • D4.1 Shared district water stakeholders' vision document (download)
  • D4.2 Pilot Sensing Infrastructure enhancements delivery
  • D4.3 WISDOM Operational and Business Services Configuration and Deployment
  • D4.4 Pilot Demonstrator Monitored Cloud-based Data and tests results from AQUASIM facility

WP5: Validation, Replication, and Business models

Lead by: Dwr Cymru Welsh Water.


  • Assess the selected pilots in terms of yearly water efficiency, economical efficiency, user acceptability
  • Identify favourable conditions for replication
  • Develop an effective business model for the implementation and replication of the proposed approach.

Tasks list:

  • Task 5.1: Pilot Demonstrator Validation Setup
  • Task 5.2: Base technology validation and service level satisfaction
  • Task 5.3: Pilot Demonstrator Validation
  • Task 5.4: Large Scale Replication Strategy
  • Task 5.5: Contribution to Industry Standards and Liaison
  • Task 5.6: Market Needs and New Socio-Economic Business Models for Efficient Water Management

Deliverables list:

  • D5.1 Validation Setup of the Pilot Demonstrators in Italy and UK
  • D5.2 Base Technology Validation
  • D5.3 Pilot Demonstrators and WISDOM System Validation version 1
  • D5.4 Large Scale Replication Plan for Public Release
  • D5.5 Project impact on standardisation and liaison activities
  • D5.6 WISDOM business model

WP6: Communication, Promotion & knowledge transfer

Lead by: D'Appolonia S.p.A.


  • Maximize the use of project results by the consortium.
  • Maximize the scalability of project results outside of the consortium.
  • Support and achieve the following IMPACT areas.

Tasks list:

  • Task 6.1: Paper Authoring, Dissemination and Technology Watch Activities
  • Task 6.2: Exploitation and Targeted Outreach to European Communities
  • Task 6.3: Special Interest Group
  • Task 6.4: Final Dissemination Event and Training

Deliverables list:

  • D6.1 Paper Publication, Dissemination and Awareness Plan
  • D6.2 Exploitation Plan
  • D6.3 Special Interest Group (download)
  • D6.4 Final Dissemination Event and Training Group