Book Image

Managing and Visualizing Your BIM Data

By : Ernesto Pellegrino, Manuel André Bottiglieri, Gavin Crump, Luisa Cypriano Pieper, Dounia Touil
Book Image

Managing and Visualizing Your BIM Data

By: Ernesto Pellegrino, Manuel André Bottiglieri, Gavin Crump, Luisa Cypriano Pieper, Dounia Touil

Overview of this book

Business intelligence software has rapidly spread its roots in the AEC industry during the last few years. This has happened due to the presence of rich digital data in BIM models whose datasets can be gathered, organized, and visualized through software such as Autodesk Dynamo BIM and Power BI. Managing and Visualizing Your BIM Data helps you understand and implement computer science fundamentals to better absorb the process of creating Dynamo scripts and visualizing the collected data on powerful dashboards. This book provides a hands-on approach and associated methodologies that will have you productive and up and running in no time. After understanding the theoretical aspects of computer science and related topics, you will focus on Autodesk Dynamo to develop scripts to manage data. Later, the book demonstrates four case studies from AEC experts across the world. In this section, you’ll learn how to get started with Autodesk Dynamo to gather data from a Revit model and create a simple C# plugin for Revit to stream data on Power BI directly. As you progress, you’ll explore how to create dynamic Power BI dashboards using Revit floor plans and make a Power BI dashboard to track model issues. By the end of this book, you’ll have learned how to develop a script to gather a model’s data and visualize datasets in Power BI easily.
Table of Contents (17 chapters)
Section 1: Overview of Digitalization and BIM Data
Section 2: Examples and Case Studies from Experts around the World
Section 3: Deep Dive into Autodesk Dynamo


Figure 8.50 – Curiosity is the key to learning something new

That's a wrap for this chapter! In this chapter, we learned about lists and indexes, selecting elements, and managing levels. We now know that levels and indexes are like streets and house numbers when it comes to precisely locating an item or list. Then we explored a few exercises relating to if statements, what they are, and how they work. And the end of the chapter was all about strings and how to manage them. We did a few exercises, including concatenating, searching, and replacing. And last but not least, we started to understand what regular expressions are, why they are helpful, and why you should learn them as they work basically in any programming language out there.

Besides pointing you in the direction of this learning content, my main objective is to make you curious about things. Curiosity is the key to understanding something new and increasing your knowledge. If...