- 专利标题: METHOD AND SYSTEM FOR INDUSTRIAL ERGONOMICS RISK ROOT-CAUSE ANALYSIS AND MANAGEMENT USING ARTIFICIAL INTELLIGENCE ORIENTED NATURAL LANGUAGE PROCESSING TECHNIQUES
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申请号: US18537450申请日: 2023-12-12
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公开(公告)号: US20240346419A1公开(公告)日: 2024-10-17
- 发明人: Julia Penfield , Pulkit Trushantkumar Parikh , Richard Thomas Barker
- 申请人: VelocityEHS Holdings Inc.
- 申请人地址: US IL Chicago
- 专利权人: VelocityEHS Holdings Inc.
- 当前专利权人: VelocityEHS Holdings Inc.
- 当前专利权人地址: US IL Chicago
- 主分类号: G06Q10/0635
- IPC分类号: G06Q10/0635 ; G06F40/205 ; G06F40/30
摘要:
A system for identifying industrial ergonomics risk root-causes and providing risk control actions, comprising: a computing device configured to obtain textual information describing a series of tasks of a job and forces being exerted during the series of tasks; and a computing server system configured to receive and process the textual information to generate a set of textual entry to correspond to a unique identifier of the job, identify nouns and verbs in the set of textual entry via natural language processing techniques, perform dependency parsing and part-of-speech tagging to associate each identified verb in the set of textual entry with a root noun in order to identify action-object pairs and unpaired actions, determine ergonomic risk root-causes based at least upon the action-object pairs and the unpaired actions in the set of textual entry, and provide ergonomic risk control recommendations to mitigate the ergonomic risk root-causes.
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