Book Image

Increasing Autodesk Revit Productivity for BIM Projects

By : Fabio Roberti, Decio Ferreira
Book Image

Increasing Autodesk Revit Productivity for BIM Projects

By: Fabio Roberti, Decio Ferreira

Overview of this book

Increasing Autodesk Revit Productivity for BIM Projects takes a hands-on approach to implementing Revit effectively for everyone curious about this new and exciting methodology. Complete with step-by-step explanations of essential concepts and practical examples, this Revit book begins by explaining the principles of productivity in Revit and data management for BIM projects. You'll get to grips with the primary BIM documentation to start a BIM project, including the contract, Exchange Information Requirements (EIR), and BIM Execution Plan (BEP/BXP). Later, you'll create a Revit template, start a Revit project, and explore the core functionalities of Revit to increase productivity. Once you've built the foundation, you'll learn about Revit plugins and use Dynamo for visual programming and Power BI for analyzing BIM information. By the end of this book, you'll have a solid understanding of Revit as construction and design software, how to increase productivity in Revit, and how to apply multiple workflows in your project to manage BIM.
Table of Contents (16 chapters)
1
Section 1: Enhancing Your Productivity in Revit with Data Management and Templates
5
Section 2: Setting Up Revit Projects Efficiently and Exploring Core Functionalities
8
Section 3: Adding Visualizations and Dashboards to Your Data
11
Section 4: Collaborating with Consultants and Plugins and Improving Revit Performance

Chapter 2: Project Data Management

Project data management is an essential aspect of efficiency and productivity when working with Building Information Modeling (BIM) as the authoring software is data-centric.

Organizations are increasingly using processes to drive their business based on data analysis for multiple sectors, to improve performance and profitability. When using Revit to manage models and data, the principles of data management are similar.

A data-driven culture is growing, and more companies are noticing the value of analyzing data for business decisions that promote improvements and disruption in the Architecture, Engineering, Construction, Owner Operator (AECOO) industry.

Companies use a data management plan (DMP) to outline how data will be used during and after a project's completion. BIM projects will start by creating similar documents to support the project development, such as the Exchange Information Requirements (EIR), the BIM Execution Plan ...