@BIMShowLive 2017 ‘Auf Wiedersehen, BIM – an International Perspective

‘Auf Wiedersehen, BIM – an International PerspectiveAcross the globe data is becoming a critical raw material of the modern construction organisation turning that into meaningful insight will drive a new wave of sector innovation.
As we enter a new cognitive era of construction there are many questions that need answered:
• How will AI and machine learning impact on construction?
• Is there a growing need for under understanding and reasoning and insight based on an industry awash with data?
• What will machines learning to scan huge amounts of data to predict costs and get clients best deals – mean to the professions?
From BIM mandates to supplier innovation we are witnessing digital disruption on a worldwide scale. This presentation will examine the key issues of improved functionality to the existing BIM value proposition and show how this is manifesting across the globe.
Case studies will be referenced especially from Australia and New Zealand including who Transport for New South Wales (TfNSW) are and why are they spending AU$11Bn/yr. on infrastructure
– the TfNSW Digital Engineering Scoping Study:
– Capability and Capacity
– Information Requirements
– Processes and Procedures
– Standards
– Technology
– Impact on supply chain across Australia and government approach to DE/BIM
– I3<http://www.aecom.com/solutions/security-resilience/i3-aecom/&gt;. AECOM’s new Information Management service:
– overview, genesis, market plays, project examples (Denver Airport, Sydney Opera House)
– Summary thoughts on future of industry – Construction 4.0
Speaker: Steve Appleby, AECOMVIEW BIOG<http://www.bimshowlive.co.uk/speakers/?view=programme189&speaker=189&gt;
BIM being the precursor to construction 4.0

Australia – the lucky country

#images

The BIM intelligence tool – periscope

Forge to get models online. 

Digitised the Australian health guidance through dynamo and linking to client requirements 

The digitisation of the construction sector is global and not always called BIM. 

Digitisation of the asset strategy. 

Smart ICT for infrastructure report in Australia. 49 submissions. 

#image

Clients talking LOD is not helpful as it’s a lazy approach but it’s a start. Likewise setting project value on when to do BIM. 

National BIM guidelines and BMP. Natspec

NZ have the BIM acceleration comittiee. Only really 2 number tier 1 contractors. 

New Zealand BIM handbook. 

Transport for New South Wales. Committed spend of 10bn per year for next four years. 

They want to be leaders in this space. 

#images

More of a focus on digital engineering. 

Planning, design and delivery of data. 

Healthy start team go out and help the supply chain to get going. 
i3 – information – intelligence – integration 

PLQs are answered by pulling together multiple elements of data from different systems. 

Digital asset performance management. 

Repair before fail. 

Capture and use data to improve customer outcomes. 

Network view – asset view – model view 

Cityzenith

6 man data and analytics team in Perth. 

Syndney opera house managers want to leave a legacy. 

Dedicated inhouse modelling team.

TestFlight 

Continuous commissioning 

Performance tuning and predictive maintenance 

L3 realtime data exchanges?

IBM Watson analytics 

Lifecycle data science

Cognitive asset management

Optimisation of operational delivery. 

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@BIMShowLive 2017 “Let’s Get Judgmental” – Analyzing & processing Revit Projects for automated output & validation of COBie data

“Let’s Get Judgmental” – Analyzing & processing Revit Projects for automated output & validation of COBie dataThis session will present how real-life architectural projects have used Dynamo Studio to accelerate time consuming challenges like model maintenance/auditing Revit models, verify the data and preparing it for COBie export.
We will explore how Dynamo Studio can automatically create valuable project reports and export them to Excel and Power BI. For example creating reports of elements which have not been modelled to best practice, flagging them in the model to streamline corrective actions.
We will also touch on some limitations of Revit dealing with warnings and automated workarounds to help correcting them.
Finally, I will demonstrate ways to check your data before exporting for information exchanges and creation of COBie data.
Speaker: Thorsten Strathaus, Flanagan LawrenceVIEW BIOG<http://www.bimshowlive.co.uk/speakers/?view=programme174&speaker=174&gt;
COBie is an information structure and IFC THE model file exchange format. It’s a container and everyone knows how to work with containers. 

the operations piece is still missing from the construction strategy

A matured client might look at a building in a different way. 

Three bits of simple data. Where it came from. How long it will last and how much to replace. 

But then you want to be able to further classify to help analyse. Type and name. 

Designers didn’t study at uni to fill in cobie spreadsheets 

#image

Spanner in the works. Duplicates and overlaps. Wrong number and wrong metrics. 

Revit warnings are tracked at an office level monthly. 

Warnings are grouped and ordered by risk. 

Using dynamo to feed the warnings back into revit to create views to remedial purposes. 

A piece of information can be used up to 200 times from creation into operation. 

Part M analysis. Diagram 12. 

Two uniclass codes. Product and system. 

Autodesk cobie extension for revit doesn’t work properly with standard fields and you have to move this data to the right fields. 42 values on 4 sheets. 

Only a few values from the trades. (6)

Parameter name mapping to get the revit parameter into the cobie field using dynamo. 

Using power BI after 90 minutes to analyse the data and drill down. 

Right data and right time for the right people. 

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@BIMShowLive 2017 opening address and keynote

Chairs Opening AddressSpeaker: Simon Rawlinson, VIEW BIOG
Have we been doing the right thing? Construction leadership council is focused on digital, manufacturing and performance. (In that order)
We are challenged by the complexity of what we do. We have to be able to explain things in the language of an infant and to be able to enthuse your audience so that they engage and want to get in board. 
What are the consequences of bringing together data and digital for our industry. 
Keynote – Nell Watson

Speaker: Nell Watson, VIEW BIOG
 Building a better world with machine intelligence. 

Child minds increase in complexity by 2% per day. 

Brain parts – reptile – mammal – frontal cortxt. 

Two systems. Dual process theory. 

System 1 makes assumptions about the world. 

Machines lack the capacity to make reasonable assumptions. 

Learning through teaching/structured, play/unstructured and reinforcement. 

Convolutional neural networks

Singularity university

Aipoly app for the blind for shape recognition

Most of the algorithms are 20 years old but the training data has only been available in the last 3 years

Any process that a human can do in a 1 second loop can be done by machines. 

Intuitive intelligence is now a utility. 

Big data – knowledge – experience – creativity. 

Company – automated insights

#neuraldoodle to synthesised image

Magic pony technology

Virtual realms for a full fat world 

Predicted sound

Interactive dynamic video. 

Crot spot

How machines can protect our world. 

For the time bring it makes sense to keep the human and the machine together. 

Machines can learn from other machines. Autonomous cars learn collectively from other autonomous cars. 

Machines learn in both the real world and virtual world. 

Ubiquitous intelligence. 

There is more computational power in the bit coin hash network than the top 500 supercomputers. 

Swarm intelligence within the buildings trying to understand their users. 

Flip side being security of such power. 

Hacking of control systems. 

The new age of the machine payable web. Machines will be paying for things on your behalf as well as earning money on your behalf. 

Your autonomous car could uber on your behalf when you don’t need it. 

Anticipatory design. Netflix. Nest. Pandora. “No thinking”

Pinterest algorithm for finding objects in photos. 

Generative design. 

Computer optimised design than can only have been created/invented by machines. 

Design by financial return. 

Design by style and generative design. We go from creator to curator of machine made content. 

We don’t know who is going to win Web 3.0

Appeal to bots may have more leverage that appeal to humans. 

These agents are beginning to understand us. Personality insights. 

USC institute for creative technologies simsensei

All the hard things are solved. The soft stuff, not so. 

Intelligent machines that truly understand us, help us, do things on our behalf. The best of man and machine working together. 

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@BIMShowLive 2017 my picks for day 2

Chairs Opening AddressSpeaker: Simon Rawlinson, VIEW BIOG
Keynote – Nell Watson

Speaker: Nell Watson, VIEW BIOG
Then
“Let’s Get Judgmental” – Analyzing & processing Revit Projects for automated output & validation of COBie data
This session will present how real-life architectural projects have used Dynamo Studio to accelerate time consuming challenges like model maintenance/auditing Revit models, verify the data and preparing it for COBie export.
We will explore how Dynamo Studio can automatically create valuable project reports and export them to Excel and Power BI. For example creating reports of elements which have not been modelled to best practice, flagging them in the model to streamline corrective actions.
We will also touch on some limitations of Revit dealing with warnings and automated workarounds to help correcting them.
Finally, I will demonstrate ways to check your data before exporting for information exchanges and creation of COBie data.
Speaker: Thorsten Strathaus, Flanagan LawrenceVIEW BIOG<http://www.bimshowlive.co.uk/speakers/?view=programme174&speaker=174&gt;
Followed by
‘Auf Wiedersehen, BIM – an International Perspective
Across the globe data is becoming a critical raw material of the modern construction organisation turning that into meaningful insight will drive a new wave of sector innovation.
As we enter a new cognitive era of construction there are many questions that need answered:
• How will AI and machine learning impact on construction?
• Is there a growing need for under understanding and reasoning and insight based on an industry awash with data?
• What will machines learning to scan huge amounts of data to predict costs and get clients best deals – mean to the professions?
From BIM mandates to supplier innovation we are witnessing digital disruption on a worldwide scale. This presentation will examine the key issues of improved functionality to the existing BIM value proposition and show how this is manifesting across the globe.
Case studies will be referenced especially from Australia and New Zealand including who Transport for New South Wales (TfNSW) are and why are they spending AU$11Bn/yr. on infrastructure
– the TfNSW Digital Engineering Scoping Study:
– Capability and Capacity
– Information Requirements
– Processes and Procedures
– Standards
– Technology
– Impact on supply chain across Australia and government approach to DE/BIM
– I3<http://www.aecom.com/solutions/security-resilience/i3-aecom/&gt;. AECOM’s new Information Management service:
– overview, genesis, market plays, project examples (Denver Airport, Sydney Opera House)
– Summary thoughts on future of industry – Construction 4.0
Speaker: Steve Appleby, AECOMVIEW BIOG<http://www.bimshowlive.co.uk/speakers/?view=programme189&speaker=189&gt;
Next to:
Keynote 
Keynote – Peter Runacres, Argent
On to:

My presentation on augmented reality with a quick run to the station to get the train back to the smoke which means I miss the closing sessions. 

Enjoy!

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@BIMShowLive Do you REALLY want Manufacturers content

Do you REALLY want Manufacturers content? Success stories in re-purposing MFG Content for BIMWhen adopting BIM, the longest slog is creating the family files that you’ll need to generate your designs productively – but there is so much great content out their already on building product suppliers websites, couldn’t you just use that?
We all know that it’s not that simple. Manufacturing models are not only far more complicated than we require for BIM, they rarely contain the data we require. So how can building product manufactures, suppliers and specifiers work closer together to share data in a way that benefits all parties?
In this presentation, we will tell the stories of customers who have taken on the challenge. We will look at the problems they’ve faced, the solution’s they’ve implemented and discuss the merits of each.
The challenges of sharing data with the right amount of detail at the right time are by no means solved. We are interested in your views on this subject and we look forward to some lively debate!
Speaker: Paul Munford, Graitec UKVIEW BIOG
Most of this came about thanks to the power of copy and paste. 

Digital protypes – do clients care?

In buildings we have context. 

Not present in digital prototypes. Relationships to other objects only. 

As accurate as possible for manufacture. 

In BIM we go the other way. We start large and work down. 

Manufacturer data runs to about 500 components, BIM is many more. 

Usually distributed cad systems. “Part files”

Model one to make millions. Model millions to make one. 

Digital manufacturing have no concept of detail levels. It’s all 1 to 1 and exactly as built. 

Modelling kernels are different. 

Parametric are lost in transfer because of the kernels. 

Data transfers pretty well. 

#image

Does transfer geometry, data, MEP connectors and appearances. 

Does not transfer parametrics, groups, voids and lines. 

Off the shelf or bespoke or custom. 

GF+

Cad files available?

Parametrics required?

MEP connectors?

Detail levels/2D?

BIM platform?

File format?

Release?

Data to include?

Aimed at MEP designer 

White sales – solution to use inventor to design as design in a revit family is a mare. 

Inventor 2017 only exports to revit 2017 so this needs to be born in mind. 

From inventor and wrapped up in a revit family. 

Dumped a DWG into a client empty family file. 

You can open a revit project file in inventor. Crop box around an area rather than the whole model. 

As ACIS sat file for reference. Interesting point of collaboration. 

Scolmore – minigrid

360 configurator uses the forge API

Ipart in inventor. 

iLogic tools. 

Provide revit families rather than the native. 

#image

Geometry and data depends on target audience use. Difference between detail and accuracy. 

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@BIMShowLive Sainsbury’s Digital Estate – Harvesting Asset Data from Existing 2D DWGs

Sainsbury’s Digital Estate – Harvesting Asset Data from Existing 2D DWGs
Mike and Mark will tell the story of Sainsbury’s BIM Journey and how it is now part of a much bigger Digital Estate Programme. The implementation team has dealt with a series of curve balls over the last 18 months implementing a new common data environment together with a project to harvest object and room area data from over 1400 existing 2D store drawings. They will talk about the cultural challenges, the tech and the standards and introduce you to SID and SAM, the characters who now help them explain to colleagues what digital estate will mean to them.
Speaker: Michael Barber, Sainsbury’sVIEW BIOG
Speaker: Mark Stoggell, PCSGVIEW BIOG
Buzzsaw. BIW. Network drives. Store space for store fit out plans. One place for tracking data. ICON – component type – 17 years of standards. Petrol filling station database. How to make 2D plans as intelligent. Project hive for snagging and KPI. And more ….
Info in lots of different places. No single source but how do you integrate. 

Work done around 3D models and objects. 
Used for stakeholder communisation as most of it is a big shed. 

The rise of the discounters. 

#image. 

High speed creates challenges with version control. 

Carried out model audit. Do drawings match and do as builts match. 

Sometimes quicker to do retrospective collection then to hunt down archive data. 

Aim

To digitise and effectively manage all data related to building and asset information. Delivering a love view of the existing and future estate. 

The right systems – defined data – culture and training – the right proces. 
Deliver three things. 

The filing cabinet. 

A database. 

Process manager. For right place and right time. 
Went for business collaborator. 

Subject matter experts : PCSG

Evaluated the client as having models but not even level 1 BIM from an information point of view. 
Asset hierarchy. 

#image

Translate BIM terms into the client langauage. 

Classification jif or jif?

Selling space. Not basmemet. Lower ground floor. 

Cultural challenges. Address through engagement and comms. 
Valdiated information prior to consolidation into BC.

7500 fit out components and spec items. 

Only links are used to connect data, the data is not pulled into the model. 

Able to do this due to a long established use of iCON

Now have a national database of their trading estate. 
All linked through One Property. Used some API work to do system connections. 

Plan is to move this forward into IFC. 

Key is making people accountable for checking. 

#image

Auto association of meta data by file name

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@BIMShowLive Scaled Robotics

Keynote by Stuart MaggsWe have not changed that much since 1930 construction methods at its core. 

Doing new things – vertical progress 

Copying things that work – horizontal progress. 

Spreading inneficieny through globalisation is obviously bad. 

Construction productive has flat lined. 

There have been huge advances in software. 

Reduce in structural materials by new analysis/design/manufacture skills and process. 

We design digitally but still construct manually. 

We are constrained by our tools. 

We now have greater complexity with tighter margins. 

Solution? Robotics? 3D printing? 

Problem – the printer needs to be bigger than the object being printed. Not scaleable. 

Swap out the big machine for smaller/agile machines. 

Manual – passive – active – interactive – proactive – intelligent. Stages of robotics and sensing with perception to be interactive. 

It is easier to fill a volume than to optimise it. Moulds/form work. 

Speed vs quality using additive manufacturing. Team based robots address this. 

Resolution – cost – flexibility – scaleability. 

Cheap hardware with sophisticated software. 

Phase 1 is being worked on. First prototype in the next 6 months on site. 

Onsite connection to the digital model. Finding errors in real time. 

Simulations currently to test algorithms 

Real time registration and understanding of the robot perceived environment. 

Cross reference model with robot data. 

Once data is captured then the robot can act upon the environment. 

“Acting on the world”

Marking out drywall 35-45m per hour. Robot could do 360m per hour. 

Easy to use. 

Collection platform. 

Onsite digital layer of infrastructure. 

Stuart@scaledrobotics.com

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