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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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Patent Agency Ranking
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：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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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：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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