公开(公告)号：US20240202463A1

公开(公告)日：2024-06-20

申请号：US18390174

申请日：2023-12-20

Applicant: Dassault Systemes Americas Corp.

Inventor： Farhad Mazareinezhad ,  David Brouillette ,  Julie Charland ,  Daniel Imbeau ,  Firdaous Sekkay

IPC: G06F40/40 ,  G06F11/36

CPC classification number: G06F40/40 ,  G06F11/3612

Abstract: Embodiments provide functionality to assess dynamic ergonomic risk. One such example embodiment receives process planning data for an operator performing a task. Based on the received process planning data, parameters for a time analysis are defined and a time analysis of the operator performing the task is performed using the defined parameters. In turn, static ergonomic risk is determined based on the received process planning data. Then, an indication of dynamic ergonomic risk is provided based on (i) results of performing the time analysis and (ii) the determined static ergonomic risk.

公开(公告)号：US20230177228A1

公开(公告)日：2023-06-08

申请号：US18063338

申请日：2022-12-08

Applicant: Dassault Systemes Americas Corp.

Inventor： Quentin Bourret ,  Julie Charland ,  Daniel Imbeau ,  David Brouillette ,  Jean-Baptist Djire

IPC: G06F30/17 ,  G16H50/30

CPC classification number: G06F30/17 ,  G16H50/30

Abstract: Embodiments assess ergonomic risk in environments, such as factories and workstations. One such embodiment begins by receiving process planning data for an operator performing a task. In turn, the received process planning data is used to generate a posture for the operator to perform the task in a certain real-world environment. The generated posture is processed using a hierarchical decision tree to determine ergonomic risk of the posture in the certain real-world environment. Output includes an indication of the determined ergonomic risk.

公开(公告)号：US20230169225A1

公开(公告)日：2023-06-01

申请号：US17456933

申请日：2021-11-30

Applicant: Dassault Systemes Americas Corp.

Inventor： David Brouillette ,  Julie Charland ,  Hugues Caron

IPC: G06F30/20 ,  G06F11/34 ,  G06F9/48

CPC classification number: G06F30/20 ,  G06F11/3457 ,  G06F9/4881

Abstract: Embodiments determine manikin posture for simulations of real-world environments. An embodiment automatically generates a phrase by performing a hierarchical analysis using data regarding the real-world environment. According to an embodiment, the generated phrase describes a task, to be simulated, performed by a manikin in an environment. In turn, one or more posture engine inputs are determined based on the generated phrase. The posture for the manikin in a simulation of the manikin performing the task in the environment is then automatically determined based on the determined one or more posture engine inputs.

公开(公告)号：US20230264349A1

公开(公告)日：2023-08-24

申请号：US18173172

申请日：2023-02-23

Applicant: Dassault Systemes Americas Corp.

Inventor： Quentin Bourret ,  Pierre-Olivier Lemieux ,  Julie Charland ,  Rachid Aissaoui

IPC: B25J9/16

CPC classification number: B25J9/1612 ,  B25J9/1607 ,  B25J9/1671

Abstract: An embodiment receives models of an object and an environment and an indication of position of a digital human model (DHM). An oriented bounding box (with a plurality of faces) surrounding the model of the object is determined and, for each of the plurality of faces, a candidate grasp location, a candidate grasp orientation, and a candidate grasp type is determined. From amongst the plurality of faces, one or more graspable faces is determined based on: the candidate grasp locations, the candidate grasp orientations, the environment model, and dimensions of each face. Then, an optimal graspable face is identified based on a hierarchy and the position of the DHM. An inverse kinematic solver determines position and orientation, i.e., grasp, of an end effector of the DHM grasping the object based on the candidate grasp location, candidate grasp orientation, and candidate grasp type of the optimal graspable face.

公开(公告)号：US20230177437A1

公开(公告)日：2023-06-08

申请号：US18063373

申请日：2022-12-08

Applicant: Dassault Systemes Americas Corp.

Inventor： Quentin Bourret ,  Julie Charland ,  David Brouillette ,  Daniel Imbeau

IPC: G06Q10/06

CPC classification number: G06Q10/0635 ,  G06Q10/0633

Abstract: Embodiments assess ergonomic risk of causing harm to a worker in a workplace. One such embodiment receives an indication of posture risk level for each of a plurality of digital human models performing a task. In turn, a weighted average of the received indications of posture risk level is determined. This determined weighted average is indicative of ergonomic risk to a real-world worker performing the task in a workplace. Embodiments consider consecutive risk through modifications to weights used in the determining the weighted average.