Autodesk, Inc.

Anand Rajagopal

Shubham Goel

Patricia Keaney

Charis Kaskiris

Manu Venugopal

Xin Xu

Maryam Rezvani

Brad Lee Bitler

James Wang

Paulo Rodrigues Espeschite Arantes

Joseph Michael Bryan

Alexander Huang

Sanjay Penumetsa Raju

Graham Garland

Cory Wolnewitz

Jeffrey Lin

Christine Laffitte

Nikita Shalimov

Nicholas Moores

Brian Suwan Soe

Arjun Nayini

A method and system provide the ability to track object progress in a drawing sheet. An object type is created and activity types are assigned to the object type. The activity types represent a progression of an object of the object type. A portable document format (PDF) drawing sheet that has multiple symbol instances is obtained. A graphic region containing a symbol instance is selected in the drawing sheet. A markup is created on the drawing sheet based on the selected graphic region. Multiple symbol instances are autonomously detected based on the selected graphic region. Progress tracking markup instances of the markup are autonomously created for the detected symbol instances and are linked to the object type. The progress of the object instances is visually tracked using graphical user interface (GUI) visualizations that provide a visual representation of the progression via the markups.

Progress tracking with automatic symbol detection

A computer-implemented method and system provide the ability to determine and provide a safety risk analysis for construction. Construction related data is obtained and includes textual data and a visual artifact for the construction project. A construction safety context is identified based on the construction related data. Based on the construction safety context, a safety participant risk score that assigns a numerical safety risk participant value to any entity involved in the construction project is determined. Based on the safety risk participant score, a safety project score that assigns a risk level on a per-project basis is determined. The safety risk analysis is presented based on the safety participant risk score and safety project score, via a graphical user interface.

Architecture, engineering and construction (AEC) construction safety risk analysis system and method for interactive visualization and capture

A system and method provide the ability to control an architecture, engineering, and construction (AEC) project workflow. AEC data regarding a quality of construction is obtained. A set of classifiers and machine learning models are obtained. The AEC data is augmented based on the set of classifiers and machine learning models. A risk metric is generated for one or more issues in the AEC data based on the augmented AEC data. The risk metric is interactively generated and presented on a display device. Work, project resourcing, and/or training are prioritized based on the risk metric.

Architecture, engineering and construction (AEC) risk analysis system and method

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San Francisco, CA, United States of America

Anand Rajagopal