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公开(公告)号：US20220156418A1
公开(公告)日：2022-05-19
申请号：US17461541
申请日：2021-08-30
Applicant: Autodesk, Inc.
Inventor： Xin Xu , Graham Garland , James Wang , Cory Wolnewitz , Christine Laffitte , Alexander Huang , Nikita Shalimov , Nicholas Moores , Brian Suwan Soe , Anand Rajagopal , Arjun Nayini , Sanjay Penumetsa Raju , Jeffrey Lin , Joseph Michael Bryan , Paulo Rodrigues Espeschite Arantes
Abstract: 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.-
公开(公告)号：US11301683B2
公开(公告)日：2022-04-12
申请号：US16598366
申请日：2019-10-10
Applicant: Autodesk, Inc.
Inventor： Shubham Goel , Charis Kaskiris , Patricia Keaney , Anand Rajagopal , Maryam Rezvani , Manu Venugopal , Xin Xu , Brad Lee Bitler
Abstract: 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.
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Patent Agency Ranking
公开(公告)号：US11663545B2
公开(公告)日：2023-05-30
申请号：US17103765
申请日：2020-11-24
Applicant: Autodesk, Inc.
Inventor： Shubham Goel , Charis Kaskiris , Patricia Keaney , Anand Rajagopal , Manu Venugopal
IPC: G06Q10/06 , G06Q50/08 , G06N5/04 , G06K9/62 , G06N3/08 , G06N20/00 , G06F30/13 , G06Q10/0635 , G06Q10/0633 , G06N5/046 , G06Q10/0639
CPC classification number: G06Q10/0635 , G06F30/13 , G06K9/623 , G06N3/08 , G06N5/046 , G06N20/00 , G06Q10/0633 , G06Q10/06395 , G06Q50/08
Abstract: 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.
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公开(公告)号：US11776245B2
公开(公告)日：2023-10-03
申请号：US17719088
申请日：2022-04-12
Applicant: Autodesk, Inc.
Inventor： Shubham Goel , Charis Kaskiris , Patricia Keaney , Anand Rajagopal , Maryam Rezvani , Manu Venugopal , Xin Xu , Brad Lee Bitler
IPC: G06V10/82 , G06V20/00 , G06V20/20 , G06V10/764 , G06V20/13 , G06V20/17 , G06V20/52 , G06F18/24 , G05B9/02
CPC classification number: G06V10/82 , G06F18/24 , G06V10/764 , G06V20/13 , G06V20/17 , G06V20/20 , G06V20/35 , G06V20/52 , G05B9/02
Abstract: 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.
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公开(公告)号：US20220245943A1
公开(公告)日：2022-08-04
申请号：US17719088
申请日：2022-04-12
Applicant: Autodesk, Inc.
Inventor： Shubham Goel , Charis Kaskiris , Patricia Keaney , Anand Rajagopal , Maryam Rezvani , Manu Venugopal , Xin Xu , Brad Lee Bitler
Abstract: 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.
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公开(公告)号：US20210081859A1
公开(公告)日：2021-03-18
申请号：US17103765
申请日：2020-11-24
Applicant: Autodesk, Inc.
Inventor： Shubham Goel , Charis Kaskiris , Patricia Keaney , Anand Rajagopal , Manu Venugopal
Abstract: 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.
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公开(公告)号：US20180349817A1
公开(公告)日：2018-12-06
申请号：US15996230
申请日：2018-06-01
Applicant: Autodesk, Inc.
Inventor： Shubham Goel , Charis Kaskiris , Patricia Keaney , Anand Rajagopal , Manu Venugopal
Abstract: 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.
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