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

Abstract 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. coC\ C 4-T 40 Y )N 0 -~ _0 (D 0 O .0~ -%cn(D ( cu~~0 0)_ q D C/ ) 0 a 0X o' _F CU co0-0)( W 70 J 0 -eC-) cn0) ci) co 0Coi) 4- -j-0o 0) Ci) Ci)n C)~ cu=34 0 _ UO)) ux ci) 4-~ 0 0) 'ci 0 C/) C/) a) Uu