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)
1
Section 1: Overview of Digitalization and BIM Data
5
Section 2: Examples and Case Studies from Experts around the World
10
Section 3: Deep Dive into Autodesk Dynamo

Summary

We have reached the end of this brief introduction on how to get started with Dynamo. In this chapter, we explored what a VPL is, what Dynamo is, and how and why companies and professionals are using it as a way to automate and manage models. We also learned in a very visual way the basics pertaining to the interface, the nodes, and the data types so that we are ready to take our first confident steps with this powerful software. Lastly, we got down to business and created our first two scripts, which will allow us to export parameter values from families to Excel and re-import them by changing all the values accordingly. As we have learned in previous chapters, companies are moving toward an increasingly data-driven business model. This means that the demand for professionals who understand programming logic will be growing in the AEC industry. As a result of this chapter and this book, you will be better prepared for the challenges that will come next.

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