Discovering the source of smart: Intelligent decisions, intelligent - - PowerPoint PPT Presentation

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Discovering the source of smart: Intelligent decisions, intelligent - - PowerPoint PPT Presentation

Discovering the source of smart: Intelligent decisions, intelligent infrastructure ...... How we need to integrate different ways of creating and managing information to support better decision making through the convergence of geospatial,


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Discovering the source of smart:

Intelligent decisions, intelligent infrastructure

...... How we need to integrate different ways of creating and managing information to support better decision making – through the convergence of geospatial, BIM, big data and the internet of things. Dr Anne Kemp, FICE, FRICS, FRGS Director and Fellow, Atkins Chair of Association of Geographic Information, 2013 and 2014 Vice Chair of BuildingSmart UK Chair of ICE BIM Action Group

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London 2012 Games

Olympic Park

Etihad Rail

UAE

Crossrail

United Kingdom

High Speed 2

United Kingdom

Riyadh Metro

Saudi Arabia

M25 DBFO

United Kingdom

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BIM …… Whole Lifecycle IM

.... Start with the end in mind ...... For anything which is built

Courtesy of Autodesk

A UK Government Mandate – and the way to integrated, sustainable and resilient infrastructure and Smart Cities

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Data not documents or just 3d models

Core Principles

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B I M

Better INFORMATION Modelling Management

Its all about information

With the lowest common denominator being digital data …… Liberated Data

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The different stages of Buildings and Infrastructure

Buildings Infrastructure

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Integrated technologies

Aligned staff, software, data, standards, workflows

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Digital Plan of Work

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Atkins Global CDE Case Study Highways Maintenance Efficiency Programme (HMEP) Case Study

  • Developing new ways of working
  • Sectors learn to do things differently
  • Engagement strategy
  • Readiness Assessment Tool
  • Creating a strong sense of identity
  • Bringing together public & private sector
  • Developed standards for managing

CAD/BIM projects

  • Digital Plan of Work
  • Inform, inspire, integrate (head & heart)
  • Organisational roles & staffing BIM process

design

  • CDE data exchange & change control
  • Implementation of BIM practices

Atkins BIM Journey Case Study

  • Collaboration in a managed

environment

  • Embedded BS1192 workflows
  • Trust of information
  • Audit trail of design activities
  • Enables distributed working

Successful Business Change

“By the highways sector, for the highways sector”

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Whole life business

  • utcomes –

start with the end in mind Data not documents or just 3d models

Core Principles

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SYSTEMS PEOPLE

User Applications

Engaged, motivated, valued people with tools to diagnose, predict and advise

SERVICE

A responsive, efficient, flexible railway that adapts to variations in demand and perturbations

Predictable 24/7 service Seamless from street to platform Comfortable, smooth, uninterrupted Safely to your destination Customer service Ops & Control Asset Technicians

ASSETS

Asset Information

Intelligent Assets that manage themselves and require minimal human intervention

Stations Rolling stock Infrastructure

Objective - intelligent infrastructure

Central Data Hub

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Think assets not projects Whole life business

  • utcomes –

start with the end in mind Data not documents or just 3d models

Core Principles

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Think Assets not Projects, Data not Documents…...A New Language

Design Construction DesignBuild Operations Create a Virtual Asset Assemble the Real Asset ALIM Approach Operations Scheme Selection Detailed

Fuzzy scope Client gets it wrong Value Engineering, Change, and Claims Get out fast Defined Need Collaboration Get scope right Minimise change Production Engineering Get it working Happy Operations “Left Shift” Pre-Construction

ROI

“Rechipping” the Workforce to Deliver Integrated, Smart Outcomes

Supply Chain Water Company

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Taking BIM to the next level.. But what is it?

Building Information Modelling (BIM) is transforming the

way we design cities, buildings and systems to perform

throughout their entire life cycle.

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Measuring city projects against a common set of metrics

Infrastructure, buildings and activities reporting their state and behaviour to systems that learn and adapt in response.

From smart technologies to a strategic framework

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Garbage in, garbage out Think assets not projects Whole life business

  • utcomes –

start with the end in mind Data not documents or just 3d models

Core Principles

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The future collaborative BIM team

One Shared ed Ve Versio sion n of

  • f th

the Truth th

Lonely, limp BIM

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Project Example – M4 Elevated section

  • Services delivered
  • 103 piers over approx 2km
  • data extraction from static and mobile point

cloud

  • Plans, elevations and 3D wireframe model
  • f piers and surrounding areas
  • up to +/- 0.01m xyz
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Think assets not projects Whole life business

  • utcomes –

start with the end in mind Data not documents or just 3d models Garbage in, garbage out Information is not understanding

Core Principles

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Chris Knowles, Lloyd’s Register YII2014

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Data Spline Data Analytics Visualisation Leadership Management Operations Decisions, Accessibility, Interpretation, Intuition, Appropriateness

“We live in a world saturated with

  • information. ….. We have come to

confuse information with understanding.” “Blink” Gladwell 2007:264

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What makes a City “smart”?

‘Smart‘ holds the promise of finding new ways for citizens get the services they crave, without using exponentially more resources. The marriage of technology with the physical and built environment enables more efficient construction and management of infrastructure, and the potential to change behaviour for personal or public good.

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Garbage in, garbage out Think assets not projects Whole life business

  • utcomes –

start with the end in mind Data not documents or just 3d models Information is not understanding Who is making the decision – the human or the computer?

Core Principles

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Site Selection

  • Multi-criteria decision

analysis

  • Include multiple datasets in
  • ne single analysis
  • Example datasets
  • Transport infrastructure
  • No fly zones
  • Military practice areas
  • Environmentally sensitive

areas

  • Urban Areas
  • GIS web map creation for

use by key decision makers

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Mayor’s Aviation Work Programme (MAWP)

Image shows:

  • London in the distance with Thames

estuary airport scenario in the foreground

Why?

  • Increase UK airport capacity
  • Increase UK economic output
  • Relieve capacity strain on London

Heathrow which operates at 98%

  • Create new jobs
  • Create a hub to rival European

competitors

Integrated applications during project

  • Website for easy data delivery
  • Environmental Constraint

analysis

  • Models built for repetitive

scenarios analysis.

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The anchors for a Digital World in which BIM and Geospatial integrate as enablers

Data not documents

  • r just 3d

models Garbage in, garbage out

Who is making the decision – the human or the computer? Whole life business

  • utcomes –

start with the end in mind Think assets not projects Information is not understanding Unintended Consequences

Core principles to remember

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The essence of being human – more than simply intellect Alignment, motivation Leadership, relationships, trust, diversity (of thinking) Our digital future - http://vimeo.com/101752405 Health and Safety Moment First case of IAD from Google Glass – 14 October 2014 Mind change Susan Greenfield, 2014

The merging of our virtual and physical worlds – how far do we go?

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Where we are headed ……… our digital future Smart Cities, Smart Infrastructure Our Future Living – and the essence of who we are as human beings

Contributions of Geospatial/BIM

CLARITY

Clarity of delivery

TECHNICAL JUDGEMENT

Converging information production with sound engineering judgement and design

ACCESS

Wider, faster access to comprehensible and integrated information

LATERAL THINKING

Enabling reflective, adaptive thinking to incorporate whole life and integrated systems approach within the wider geographic context.

INNOVATION

Harnessing innovative technologies and harvesting intelligence from big data

DECISIONS

Fostering instinctive but rigorous collaboration and better decision making What we have now