BIM-Analytics-Platform

Open Source BIM Analytics Platform. Accelerate AEC Through Data.

• Agnostic, Scalable, and Agile

First Track tools and build database

Second build descriptive analytics (What happend?)

Functional Requirements

• Allow users to change the interface and pick what data is shown
• Have multiple options for viewing the data
• monitor data | such as Revit warnings, large models, large amount of clashes
• track data when users are not online
• data security | an option to share the data

Non-Functional Requirements

• Available 24/7
• Web, Desktop, and Mobile Application
• Simple to use

Tools to track / ever-increasing

• Revit_log and journal files
  • Revit Clinic Journal File Parser 2011 https://revitclinic.typepad.com/my_weblog/2011/11/journal-file-parser.html
  • Visualizing Revit Journals https://insidethefactory.typepad.com/my_weblog/2012/02/visualizing-journals.html
  • Revit Journal file %LOCALAPPDATA%\Autodesk\Revit\Autodesk Revit ####\Journals
  • Revit Log file
• Navisworks_log and clashes
• Dynamo log file - checkout the data tracking tool Autodesk is using for Dynamo
  • Dynamo log file C:\Users\%USERNAME%\AppData\Roaming\Dynamo\Dynamo Revit\2.5\Logs
• Hypar
• BIM360
• AutoCAD
• SketchUp
• Enscape

  • Enscape main plugin log files: C:\Users\%USERNAME%\AppData\Roaming\Enscape\Data\Logs

  • Revit plugin log files: C:\Users\%USERNAME%\AppData\Local\Temp\Enscape\Logs\EnscapeRevitPlugin

Database

Requirements

• Data integrity
• Supported operations
• Modeling relationships
• Supported data types
• Transaction support
• Scalability
• Redundancy
• Schema flexibility
• Performance
• Integrations

HDFS

Characteristics

• Files and directories
• Distributed file system
• Any type of file
• Commodity hardware
• Streaming access
• Query support with Hive and Impala

Assessment

• Strengths

  • Linear scaling
  • Redundancy
  • Security
  • High availability

• Shortcomings

  • No updates
  • Limited querying
  • Queries_very slow_bad for live dashboards
  • Not for small data

• Applications

  • Raw dumps
  • Media storage
  • Data backups

Platforms

RDBMS - Oracle

Characteristics

• Tables, rows, columns
• Schema driven
• SQL-based queries
• Number crunching

Assessment

• Strenths
  • Transactions
  • Speed
  • Data integrity
  • Security
• Shortcomings
  • Linear scaling
  • Text/media
  • Complex data types
  • Cost
• Applications
  • Master data
  • OLTP
  • Update intensive data
  • Data Warehouse

Other Platforms

• Microsoft SQL Server
• MySQL
• MariaDB
• PostgreSQL

Document Databases - MongoDB

Characteristics

• JSON documents
• Flexible structures
• Document key
• Indexing
• Sharded clusters

Assessment

• Strengths
  • Complex data types
  • Rich querying
  • Full text search
  • Scalability
• Shortcomings
  • No transactions
  • No media storage
  • Joins not optimal
  • No attribute-based security
• Applications
  • Blogs
  • Catalogs
  • RDBMS alternative

Other Platforms

• Elasticsearch
• Couchbase

Research

• Identify tools - APACHE tools?
  • Apache logs parser with Python for absolute beginners | Projects https://www.youtube.com/watch?v=4DdueeIE8Rs&feature=youtu.be
• Build ecosystems

"Without data analytics, companies are blind and deaf, wandering out onto the web like deer on a freeway." -Geoffrey Moore

"Without data your're just another person with an opinion" -W. Edwards Deming