METHOD AND SYSTEM FOR INDUSTRIAL ERGONOMICS RISK ROOT-CAUSE ANALYSIS AND MANAGEMENT USING ARTIFICIAL INTELLIGENCE ORIENTED NATURAL LANGUAGE PROCESSING TECHNIQUES
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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