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

Creating a model check dashboard is a powerful utility for the BIM, VDC, or model manager to help track trends, monitor the overall "health" of a Revit model, try to solve issues throughout the life of a project, and educate teams to be more efficient. The methods currently used to collect data are often manual and time-consuming or require third-party add-ins. In addition, reviewing this data can be difficult if the reviewer has little knowledge of the collected information or no time to go through it all.

With the method we explored in this chapter and with easy-to-leverage tools, such as Dynamo and Power BI, developing a workflow to automate the collection and visualization of data can be easy to replicate.

We learned how to identify what data to track using measurable indicators that impact the model's performance, and we also learned how to collect, organize, and export relevant information from the model. Finally, we learned how to use the exported...