#bsl2014 3D Laser Scanning related to BIM – Is it doing what we think it says on the tin? (Case Study)

Stage 04: 3D Laser Scanning related to BIM – Is it doing what we think it says on the tin? (Case Study)

2014/04/23
16:15 – 17:15
Session 4

3D Laser Scanning related to BIM – Is it doing what we think it says on the tin?

The profile and awareness of 3D laser scanning has grown exponentially over the last couple of years. There is increased visibility of scanning manufacturers extolling the virtues of each of their products and many BIM presentations mentioning or touching on the subject with no great detail.

With over 40 high profile ‘BIM ready’ projects as references, we propose to review and communicate the real technical applications, workflows, particular issues and lessons learnt associated with the different built environments we have encountered.

Case studies of Bristol Temple Meads Station, The Natural History Museum, Leicester Cathedral, Broadgate Arena, 240 Blackfriars, City University plus others, will highlight the key objectives and outcomes utilising this technology.

Speakers

Peter Folwell
Director – Plowman Craven Limited

Is it doing what it says in the brochure?

First adopters and technical innovators

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All stakeholders have access to the date to filter how they choose rather than letting the surveyor decided.

Creates legacy data of really what is there.

Surveyors have the necessary rigour to optimise the instruments output. Quality control.

Right tools for the job, quality control, capabilities and capacity, liability, software familiarity, geospatial awareness and data management.

Data management considerations in unskilled hands. Unclean and messy, unintelligent , heavy date set and unmanageable.

Existing scans of pipes were remodelled only on objects of 50mm diameter or more.
Specify what was to be gained from the scanning process. Different disciplines have different requirements.

An asset reference that does not have to be modelled to be useful.

Scan early to use that data going forward as a solid data set for reference as a baseline.

Agreed level of tolerance between model and cloud and then use colour to show deviation.

Line of sight only. This can decide when to scan.

It’s only as good as the control it’s based on.

Plowman craven BIM survey specification. What do you want to use the information for. Who is going to use it. Leica true view

Data for pre construction tender
Early decision making
Bring design into the point cloud. Hoarding etc, quicker than modelling.

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240 blackfriars – scan

Shard – slab variation analysis. Office manufacture for fit out. Independent checks against design. Structural and service recording prior to fit out. T&T

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#bsl2014 Manufactured BIM: a guide to assembling the Best Imaginable Marriage (Case Study)

Stage 04: Manufactured BIM: a guide to assembling the Best Imaginable Marriage (Case Study)

2014/04/23
14:45 – 15:45
Session 3

You are invited to the wedding of the century…The marriage of construction industry data. What happens when designer, contractor, supplier & manufacturer data meets for the first time? Is it love at first sight, or do they need time to fall in love…A practical showcase of real project examples that show insight, pitfalls, and sheer brilliance of it all;

COBie 6 project: Everyone has to play the game whether you like it or not;
Foodstore project: The impact of Subcontractor commitment;
Content Creation project: Furniture Manufacturer wedded to the idea of data integration;
Competition project: Looking past the cosmetic BIM, and discovering the real data.
School project: Trying something new improves a relationship
Speakers

Robert Sargent
Director & International BIM Consultant – Stride Treglown Architecture & BIM Consultancy

The impact of commitment
Design team found it valuable but the construction team were more interested in getting the price down.
Etender delays package letting
Timber frame supplier declared 75% reduction in tq’s
No sprinkler team caused excess cost to fix later

Design team have all this great data but the sub contractor packages came in as redlined PDF – dumb
Knock on effect back to the design teams. Why does the industry accept and call for these dumb formats. Start asking for the data.
£1 design = £10 construct = £100 operate
Why not 2=9=90

Government project for cobie, everyone had to play in order to be in the game
Ctc Revit plugin populate the parameters to the project
The joy of classification of rooms by uniclass.

Coding uniclass, you have to overwrite the Autodesk coding.

Solibri rated as a very engaging software vendor.

Something is missing: don’t understand , not expected

Assign work packages to revit objects. Important that suppliers can visualise the information and understanding of the project.

The idea of data integration

Clients seem to fall into two levels of detail. Placeholder or high detail.
What can suppliers do? Think data. Understand your products uniclass and embed. Rewrite the website to link data.

Data for libraries are best held by the manufacturer so that they can moderate it,maintain it and use it as product leads.

Could the industry have a material library as a palette.

Meet your data partner throne a party on your homepage. Improve your online profile.

Anything is feasible in 24hrs
A shared knowledge resource to support decision making.
Automated accuracy of data for Masterplanning.

Past cosmetic BIM : the real data
Agree naming convention. Trial run. Jelly data. Jelly in but shit out. You have to draw something to get going. Data can be jelly. It’s plus or minus.

Try new ways to communicate. On the fly understanding of the quality of data. (Skype). Jelly into gold. Understand your partner data

It’s not about the absolute data but how you communicate around it. Is it jelly gold or shit?

A good first date and you can be set up for life.

Trying something new improves a relationship
Early client engagement. Client has specific requirements about data. They took the multi media soft landings approach. Old school and new school. Engaging with the users.

Don’t plan too much. Use formats that enrich data. Nothing beats communicating in person.
More outputs for less input.
2d information is hindering the industry but the site guys still need drawings. Avoided 256 data sheets by taking them through the model in a morning room by room.

“To improve is to change, to perfect is to change often” Winston Churchill

“Coming together is a beginning, keeping together is progress, working together is progress” Henry ford
Engage with people and show what is good for them to do and why it will be good for them.

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#bsl2014 Stage 02: Money and Megaprojects: 5D know how and processes laid bare (Case Study)

13:45 – 14:45
Stage 02: Money and Megaprojects: 5D know how and processes laid bare (Case Study)

Date: 2014-04-23, Track: Session 2
Dave Monswhite
Associate Director – Turner & Townsend
George Mokhtar
Senior BIM Manager – Turner & Townsend project management

Megaproject = significant cost or complexity, attract public attention. Lots of failure in this zone. Unique endeavour. Impact on communities and environments. Multi party endeavour.
Procurement. Influenced by the sequence of the design.
Validation.
Detail gap. Early stages define more than many appreciate.
Simple £ per sqm
Elemental shell and core
Composite component level
Boq component level.
Getting real cost in use data is hard.

Consistent guiding or intermittent interference. Don’t want to wait until gateways for information.

Capex win v opex gain

Procurement adversely affects both this and the model.
Sprints v programme
Design priority v constraint.

The plan to procure affects the design ability to deliver and when/what.
Modelling and platform consistency challenges. The methodology of modelling affects the mega project.

Inconsistency in the use, production and sharing of data.

Cost consultants want to get in at the EIR stage.

More effort goes into data conversion and output consolidation than any of the other processes.

Data is brutal. 99% is wrong.

This process is about understanding data. Producers working with consumers.

Commercial metrics
Accuracy, compliancy, cost, efficiency and net/gross

Possible use of the first cobie drop as a hack to get compliancy validation criteria.

LOD – completeness , resolution, over modelling and BEP status.
Completeness – of design development and data development.

Quality and coordination – clash mitigation and understanding, deficiency , duplication and rogue objects, standards checks.

Happy to get a model with problems in it as long as the problems are identified.
Manipulate data to inform decisions.
Check for consistent or similar build ups and identify for efficient coating and procurement.

Model data – category mapping, property sets, data type and validity, completeness and open source data testing.

No.1 consistency of taxonomy

Why is all this significant:
We can’t alter the model
Measurement rules differ from absolutes
We measure things that are not modelled.

Automation of the QS function? Myth mostly busted

Use of Quantum, tableaux
Not writing to the model but associating.
Split apart onto the measurement “bits”
Associated database to the objects to track them.
Embodied carbon comes from volume
Not a single software solution.

Primary aim – to isolate the unmeasured balance. Looking for what is not in the model

Model quantities are different to rules of measurement which have rules for the work to be applied.

Criteria analysis
Unit rate, cost by discipline , cost by package, significant items, forex exposure.

Communicate the optimum combination of procurement options.

Use visualisation techniques to show variance. Where things have changed and why. Pace of change can over run the change control procedure.
Snapshots as fast as it is being modelled.

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#bsl2014 The application of BIM technology in residential house construction

Stage 03: The application of BIM technology in residential house construction (Masterclass)

Date: 2014-04-23, Track: Session 1
Nick Clements
Managing Director – Bisco

New Zealand construction and challenges of new technology and increasing productivity. 1700′s construction was prefab. Then English construction methods of stone and brick. Timber a major part of construction and adapting.
Tectonic plates colliding created NZ
Timber frame is the standard method.
Prefab in factories with added structural steel.
Masonry as a cladding.
NZ do not have local authorities or housing associations.
The typical house builder is small. Lack internal processes, low adoption of IT but represent more potential gains than larger companies.

10% of GDP from construction means any gain raises the GDP. This is of great interest to the government. 20% increase in productivity by 2020

Lower productivity = lower wages and profits. Expensive and less innovation.
ICT in manufacturer had more gains than construction , there is always a lag factor at the beginning.

Manufacturing vs construction
Standardisation vs houses are generally different.
Long production runs and long term supply. Vs one off
Long term relationships with investment in communication vs transient

Longer life projects seem more attractive to adopters.

Often builder is not known at the design stage
Builders deal with a range of designers
Often builders regularly use the same trades
Trades deal with multiple
Very few make investment in communication
Industry is still fundamentally appear based.
Different results and different methods result in different outcomes. Content of communication has not changed much, just sending PDFs instead of paper.
Windows are not made until holes are made due to lack of trust in information.

Unlock models
Transparent information
Construction is a complex process, try to remove as much as possible.

Getting the systems in place is hard, the benefit comes once you start using it and then leveraging it.

Challenges – multiple data sources, IP, varying construction methods, lack of understanding of true construction costs. Talk with builders on how they cost.

Main communication is still PDF, models do not contain everything.

2d provides a process break so allows users to resolve specific details. People assume the model is right and it reality it might not be.

Making something manual increases the risk. Hard to audit.

Two objects existing in space, where they intersect there is a cost impact and a work impact. Not recognised in many systems.
Systems – IFC is the only game in town

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#bsl2014 Panel Discussion – Measurement of the benefits of BIM (Stage 1)

David Philp MSc, BSc, FRICS, FCIOB, FGBC
Head of BIM & Head of BIM Implementation – Mace Group & Cabinet Office, London
Terry Stocks
Deputy Head of the Estates Department – Ministry of Justice
Jon Kerbey
Head of Systems and Asset Information – High Speed 2
Kath Fontana
Managing Director – BAM FM
Malcolm Taylor
Head of Technical Information – Crossrail
Richard Bates
Strategic Space and Delivery Manager – Kingston University

Jon Kerbey
Benefits of BIM to HS2, focused client and cares about data as a physical asset. Helps the supply chain and removes the complexity from it. Coordination and cooperation. Use in evidencing process.

Malcolm Taylor Crossrail – multiple projects in a programme using re-usable trusted data. Programming and scheduling. Start up meetings and safety meetings. A meaningful graphical engagement

Terry stocks – MOJ – client acting intelligently. Paying the right price and not the cheapest. Holistic view on improvement. Using data intelligently and at the right time. Process and not just data

Kath Fontana – BAM FM , real efficiencies on site. Increase in first time fix efficiency. Challenging the commercial models of FM as well as skill sets and capabilities. Positive change. More change in the last 2 years than the last 20 years. Having a clear purpose helps.

Richard bates – Kingston university , research shows that students are coming to institutions with attractive buildings. It has to be seen as a building lifecycle.

Fragmentation and supply chain
The client has to want to do this. Right people. Right time. Right environment. Matching designers to providers. Learning together. Create an environment outside of the project that leads to better working results.
FM even more fragmented. Forms of contract don’t facilitate early engagement. Looking at packaging strategy to aid cooperation. What sort of upskilling is required and the state of the nation to assist clients. 6 world class contractors can deliver 6 world class solutions but clients want one consistent outcome. Clients need to be prescriptive, but separating capex and opex are challenges. BIM does not stop at construction. Get decision makers to understand that huge amount of information available at the end of the construction to take the life of the building forward. Be smart about the information needed to run the building. Objective analysis of data from live buildings to prove designs match performance.

Getting contracts right.
Change when you really have to.
Client is still learning what they need so leverage the experience of the supply chain.
Don’t ask for too much data. More than the technology can cope with.

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#bsl2014 keynote – change is an opportunity

Marc Priestley F1 mclaren
Change is an opportunity
Being efficient rather than cutbacks
In the image. Overalls up. Cap. Watch. Brand exposure on the best team and the best driver. Small steps bring in the big companies.
Change the way you think about everything. Re-analyse everything you do. Is it as efficient as It could be?
Every person, every job.
Review everything all the time looking to make it lean. Leverage technology.
Consistent improvement affects outcomes.
Tiniest little thing had a knock on effect for everything that followed.
People only talk about things when they go wrong.

New cars and new technologies. First started 5 years ago.
Resistant to change when people are already successful in what they do. (Baby boomers)
F1 tech was a decade old. Gen X started to look at being always at the forefront. More relevant to the car industry as a whole. Filter down to forecourt products.
Big teams. Successful did not want to change. Smaller teams could not afford. The younger generation pushed harder and worked into decision positions.
Hybrid engines in F1. To stop holding back the retail sectors adoption by using F1 as the R&D sector.
A change for the future to ensure we have a future.

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#bsl2014 Opening address

David Philp:
Learning. Sharing. Connecting.
Early adopters to push ahead and new people to learn.
BIM task group – industry has made real progress on level 2 BIM.
It is really about the outcomes.
Digitising the construction industry.
Cultural change is the big one.
2014 is the tipping point. Construction industry is the last one to be analog.
Digital Britain.
Creating a capable workforce.
600+ people in the auditorium

Rob charlton :
Shared ideas. Made friends and contacts and enjoyed learning.
Construction 2.0
The industry is changing and there is a new future on the horizon.
What : we have cracked it, we have the voice, there is no going back.
When : we are then, it’s now. Look after the trailing edge and the supple chain. Getting involved in education. Denial has gone. Resistance is gone. Exploration is ongoing and commitment is there.
Why : delivering better value and improving the construction industry. Now it’s serious. We have to go beyond the talk. Cut back on waste. Landfill and environmental impact.
How : 2025 vision. (Egan report with a different cover on) define, design, assemble and operate. Fundamental change to the industry. Too much compartmentalisation of outlooks and windows into other peoples work. Constantly review and validate.
BIM is the term for the construction revolution.
Baby boomers are doing well.
Generation x are the most educated. Sat in the middle. A little bitter at the baby boomers.
Generation Y are the future and think completely differently. X must support Y. Decision makers are baby boomers.
IBM is baby boomer
Amazon and apple are X (Apple Borders baby boomer)
Facebook and google are Y
What are generation z going to be. The internet is their oxygen

What next : Generation Y are not accepting the norm. They want to see a change. The internet of things and big data. Operational data off of buildings. The amazon dash.

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