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TheTree.Project

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TheTree.Project Nikolay Gerasimov PhD, Consultant RICS Certified BIM Manager Autodesk Revit Professional
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Page 1: TheTree.Project

TheTree.Project

Nikolay Gerasimov

PhD, ConsultantRICS Certified BIM Manager

Autodesk Revit Professional

Page 2: TheTree.Project

Foreword• Data have became a self-contained fundamental value

for the last century• There is a lot of activities to find an appropriate way

how to operate with data in AEC industry• General theories of how to deal with data efficiently:

- Design of Experiments (science, est. by R.A. Fisher 1930s, planning&processing)

- Data (Database) Management (corporates, since 1960s, formatting, storage)

- Data Mining (computer science, 1950s-now, AI)•This project aims to apply DoE approaches to AEC data and invites to further discussion

Page 3: TheTree.Project

Content• Problems and Goals• Data vs Information• Data Driven Process• The Tree• Roots• Trunk• Branches• Next

Page 4: TheTree.Project

Problems• BIM, Generative Architecture, Computational Design –

Data Driven Processes

• Data is a mathematical representation of Information

• Process = Processing

• Effective processing of data - the key to success

• Understanding principles of data processing – the key skill to success

Page 5: TheTree.Project

Understanding instruments

ARUP

Design is an art to create something new using existing instruments. If you don’t understand them, you can only copy.

Page 6: TheTree.Project

Goal

To develop a new paradigm of working with AEC data as

intuitively as with good old graphical information

The paradigm must be based on:• Scientific approach• Practical realization • Artistic representation

Page 7: TheTree.Project

Data vs Information. Case Study

Page 8: TheTree.Project

Data vs Information

Collection

• Identifying sources

• Understanding constraints

• Formatting according to process requirements

• Formulation of final goals

Processing

• Grabbing initial data

• Choosing processes

• Defining control points

• Establishing report procedures

Synthesis Analysis

Page 9: TheTree.Project

Data vs Information• Data is a collection of variables and parameters

• Information is a collection of explicit logical connections in data

• To find new information in data they should be processed in a common space or have similar metrics (synthesis)

• After the result is achieved responsible data should be split and detailed separately

Page 10: TheTree.Project

The Tree

Page 11: TheTree.Project

The TreeOperation Keep data

ready to reuse CAFM

Construction

DetailRealization

Splitting

Discipline models

development and

coordination

SchemeConcept Process data

Building planning

BEMStr analysisSite analysis

PlanningFeasibility Colect data

BEPRestrictions

analysis

RMS

Disciplines

Platform

RMS

Page 12: TheTree.Project

The Tree. Challenges• No realization of this architecture in real AEC software• In PLM it can be realized on Siemens NX platform as

example• V-model can substitute Avanti for BIM purposes• Need to adopt RMS to AEC needs• Need to transform current practices into data driven

systems-oriented processes• Need to close projects by RMS adopted to be next

“roots”

Page 13: TheTree.Project

Roots.Codes

Page 14: TheTree.Project

Trunk.• MP• Site• GIS

• Arch• Geometry• IFC

• MEP• Functionality• FMU

• Str, fire…• Risk• FEA

Location Appearance

Performance

Safety

Page 15: TheTree.Project

Branches.FulCoord

A+S

Arch Str

MEP

HVAC

Base

Bldng

Arch Str

Site

MP

CoordinationMany to 1

Trial and Error

Collaboration1 to many

Predict and Avoid

Page 16: TheTree.Project

Next.• Collect feedbacks• Issue guidance• Create process super-map• Collaborate with vendors and enthusiasts to implement

proposed architecture• Work on visualization of ideas

• Visit LinkedIn Group for further information