Project Controls Expo Presentation: LogiKal's Technical Director, Iain Cameron, presented on the development, challenges and benefits a major infrastructure project has made in moving towards a full set of BIM integrated commercial controls data, to give 5D capabilities.

2. Contract in Pictures
…and WHY apply BIM/AI
01
Progress since Expo 2018
Since I last spoke…
02
Challenges and methods used
BIM-controls integration
03
So far and still to come
Artificial Intelligence Application
04
Agenda

3. Start with the ‘Why’?
Capital Projects are
Important
They connect people
They allow us to grow

4. Start with the ‘Why’?
Capital Projects can be
risky
Anything that can reduce
risk is helpful

5. Link between Digitisation and Productivity?

6. Capital Projects/Construction ‘Hotspots’

7. What capability do we need for digital?
• Good baseline and progress measurements
• Setting up planned value with clear traceability to scope can be time-
consuming
• Measuring achieved and actual cost can be resource intensive
• Integrated data structures can be hard to achieve

8. System to Support Collaboration and Data
Must
O
Should
Could
O
Won’t

9. Since I last spoke…

10. What have we achieved?
• System procured and implemented (documentation ongoing)
• Production of CESMM4 BoQs proven (several ‘exemplar assets’)
• Link of BoQs to schedule proven
• Capture of data from tablet proven (not yet automated)
• Production of stage 1 on-demand reports proven and working (116 periods)
SYSTEM QUANTIFICATION TIME-PHASING £ FIELD DATA CAPTURE ON DEMAND

11. Progression to 5D Baseline
94 ‘Primary Assets’ – cuttings, Embankments, Viaducts, Green Tunnels
~200 ‘Transverse Assets’ – Overbridges, Underbridges, Culverts
~1500 ‘Secondary Assets’ – Drainage Catchments, Fencing, Noise Barrier, Utilities
Traditional
Baseline
5D Baseline
Feb 2019 Jun 2019 Dec 2019

12. BIM and Controls
Integration

13. Project Workflow Asset
Definition
Quantity
Determination
Analytical
Costing
Progress
Monitoring
Embankment Group 1
Viaduct Group 1
Embankment Group 2
Cutting Group 2
Cutting Group 1
Embankment Group 3
Cutting Group 3

14. Project Workflow Asset
Definition
Quantity
Determination
Analytical
Costing
Progress
Monitoring

15. Project Workflow Asset
Definition
Quantity
Determination
Analytical
Costing
Progress
Monitoring

16. Asset
Definition
Quantity
Determination
Set Baseline
Progress
MonitoringProject Workflow

17. Project Workflow Asset
Definition
Quantity
Determination
Set Baseline
Progress
Monitoring

18. Project Workflow Asset
Definition
Quantity
Determination
Set Baseline
Progress
Monitoring

19. What were the challenges?
• Lack of dedicated implementation team
• Limited resource to define and document process
• Scale of data affects system performance – data architecture critical
• No software is bug free – find a vendor who will support you well
• Separate ‘stakeholder’ and ‘technical’ management in implementation
IMPLEMENTATION PROCESS ARCHITECTURE PERFORMANCE MULTI-TASKING

20. Applications of Artificial
Intelligence and
Internet of Things

21. AI Potential
https://techcrunch.com/2017/12/13/nvidia-and-construction-giant-
komatsu-partner-on-ai-for-job-site-safety
• Camera/image recognition of people/
equipment and tasks – automate data
acquisition for progress measurement
• Cuts down effort involved in cost allocation
• Improves accuracy of data set and therefore it’s
usefulness
• Improves speed of data collection and therefore
reduces time for feedback
• Allows in-time not too-late interventions
• Will improve safety
• Will help optimize equipment usage

22. Current Applications

23. AI Potential
Week Number
CPI
SPI
AssetsVarianceAssetsVariance 1
1
GOOD
BAD
GOOD
BAD

24. Benefits
• Faster quantification (~3-5 x as fast)
• Faster base pricing (~3-5 x as fast)
• Less effort to present traceable reports (1/2 x as much)
• Avoidance of duplication of progress measurement (3/4 x as much)
• Productivity insights sometime in excess of 5% increase
ROI – Typically > 500%: Payback period – Typically 1-2 years
FASTER LESS EFFORT AVOID DUPLICATION

25. Recap
• Inspired Leadership – foster innovation, determination & drive
• Diverse collaborative team – engagement and commitment
• Clear processes – accountability understood for the inputs
• Technology partner – system and implementation

26. Q&A
LogiKal: stand 5

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info@logikalprojects.com