the role of sensing and data in transforming the future of ... · • data as infrastructure •...

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@CSIC-IKC

The role of sensing and data in transforming the future of infrastructure

The challenge

“Productivity in manufacturing has nearly doubled, whereas in construction it has remained flat”Source: McKinsey&Company, “The construction productivity imperative”By S Changali, A Mohammad and M van Nieuwland, July 2015

“The construction industry is among the least digitized”

Smart Infrastructure:Better decisions faster and cheaper for the benefit of the ultimate customer or user

DigitalSmartPhysical

Smart infrastructure – a smart way of adding value to both existing and new strategic assets

Smart Infrastructure

The value of data

Data curation is crucial!

EMBEDDED SENSING SYSTEMS Fibre optic strain sensors Fibre-optic geogrid systems Wireless sensors for earthworks monitoring

ATTACHED SENSING SYSTEMS Autonomous, low-cost and low-power wireless sensing

technology for long-term monitoring Wireless fatigue sensor Vehicle mounted sensing Combined strain and displacement wireless sensors Temperature, tilt, etc

SOCIAL MEDIA AND OTHER DATA SOURCES Geo-tagged social media data for assessing use of infrastructure and

sentiment mapping Ticketing information Mobile phone GPS, wifi On-vehicle GPS, vehicle mounted sensors

DATA ANALYTICS APPROACHES Geospatial data analysis Data-centric engineering – AI

AUTOMATED SENSING SYSTEMS Automated visual inspection Remote controlled boat for underwater surveying Mixed reality automated solutions for construction

progress monitoring

There are many sources of data!REMOTE SENSING

Use of satellite data to monitor large-scale structural and ground movement

Drone surveys Laser scanning Photogrammetry

UK National Infrastructure Commission Report:

Data for the Public Good

• Data for the Public Good – released 14 Dec 2017

• Backed up by four technical papers:1. Data as infrastructure2. Data sharing in infrastructure3. Better asset management through smarter information4. Resilience of Digitally Connected Infrastructure Systems

• Identified key challenges around data in the UK economic infrastructures:

• Lack of integration of data between infrastructure systems / silos

• Failure to use data optimally to enable improved operation of infrastructure systems (data driven decision-making)

National Infrastructure Commission

• Data as Infrastructure• Vastly increased quantities of data• New mechanisms to collate, manage and process - >• New opportunities for society to better utilise resources,

solve problems and provide most social good

• Data Sharing in Infrastructure• Improve efficiency through better informed decisions• Better infrastructure planning• Improved resilience• Increased competition and innovation

Data for the Public Good

So what can we do with better data?

Improved designs – less resource use, better resilience

OPPORTUNITIES• Validating models• Demonstrate cost saving

and value• Design for whole life

value

OPPORTUNITY• ‘As-built’ BIM• Quality assurance• Construction progress

monitoring• 3rd party asset

monitoring

Transforming construction –reducing waste, improving quality

No shape matching(behind schedule)

Shape matching but no texture match

(in progress)

Shape matching & texture matching

(on schedule)

Structural Health Monitoring

OPPORTUNITY• Understand and

quantify asset condition and behaviour

• Assess deterioration rates

• Inform maintenance requirements

Giving an asset a ‘health passport’

OPPORTUNITY• Condition monitoring

and predictive maintenance

• Risk-based maintenance• Whole-life, value based

asset management• Futureproofing

Managing and operating infrastructure

OPPORTUNITY• Demand forecasting• Optimised network

management• Planning in 3-d• Energy assessments and

modelling

Cities and regions – understanding how infrastructure systems serve our communities

Paper 4_CSIC Big project map

Smart city systemsTRANSPORT PLANNING

Predictive models for travel, including choice and cost factors

Demand forecasting Pedestrian flow modelling and monitoring

LAND USE PLANNING Rail-led urban development Agent-based modellingModelling the influence of creative industries on

urban land use LUISA model - land-use interaction with social

accounting

CITY-SCALE ASSET CONDITION MODELLING

Network load modelling and prediction Data, modelling and management of city-

scale asset degradation

THE 3-DIMENSIONAL CITY

Integrated development of above and underground spaces

Increasing utilisation of underground spaces Environment and energy in underground spaces Integrated digital mapping and visualisation of

above and below ground spaces

ENERGY NEEDS AND PLANNING Integrated modelling of people, energy & housing Distributed energy networks Innovative, synergistic energy solutions at the district

scale Urban food production

Image: Tim Hillel

DIGITIAL CITIES FOR CHANGE (DC2) Digital tools for policy, governance and management of a city and infrastructureModelling and data analysis to inform policy

Digital Cities for Change – DC2

Project objectives• Build knowledge on how currently existing governance systems, (incl.

structural and cultural characteristics) influence what is consideredfeasible, appropriate and desirable when it comes to deciding aboutand implementing digital solutions - such as the city digital twin(CDT)

• Develop governance framework for CDT design and implementation

• Context-boundedness: case study (Cambridge) and (preliminary)comparative analysis

Recommendations:• A National Digital Twin – to enable

better outcomes from our built environment• A Digital Framework – to enable secure data

sharing and effective information management• A Digital Framework Task Group – to provide

coordination of key players

• Being facilitated by CDBB

Data for the Public Good

What is a digital built Britain?

BuildOperate

Design

Integrate

A digital built Britain:• understanding what

information is needed right from the start

• ensuring feedback loops are in place throughout an asset’s lifecycle

• information enabling better whole life value and optimising services to improve socio-economic outcomes for citizens

• exploit new and emerging skills and technology to increase productivity.

Digital Twins: Definitions

A Digital Twin (DT) is a realistic digital representation of something physical

The National Digital Twin (NDT) is an ecosystem of DTs connected via securely shared data

Values: the Gemini PrinciplesPublic goodMust be used to deliver genuine public benefit in perpetuity

Value creation Must enable value creation andperformance improvement

InsightMust provide determinable insight into the built environment

SecurityMust enable security and be secure itself

OpennessMust be as open as possible

QualityMust be built on data of an appropriate quality

FederationMust be based on astandard connectedenvironment

CurationMust have clear ownership, governance and regulation

EvolutionMust be able to adapt as technology and society evolve

Purpose: Must have clear purpose

Trust: Must be trustworthy

Function: Must function effectively

Dr Jennifer Schooling, CSICcsic-admin@eng.cam.ac.uk @CSIC-IKC

The value of data