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Honeywell international inc. (20250102173). SYSTEMS AND METHODS FOR PROVIDING ACTIONABLE RECOMMENDATIONS IN A FACILITY

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SYSTEMS AND METHODS FOR PROVIDING ACTIONABLE RECOMMENDATIONS IN A FACILITY

Organization Name

honeywell international inc.

Inventor(s)

Jayalaxmi Telang of Bangalore IN

Murugan Gopalan of Bangalore IN

SYSTEMS AND METHODS FOR PROVIDING ACTIONABLE RECOMMENDATIONS IN A FACILITY

This abstract first appeared for US patent application 20250102173 titled 'SYSTEMS AND METHODS FOR PROVIDING ACTIONABLE RECOMMENDATIONS IN A FACILITY

Original Abstract Submitted

various embodiments described herein relate to systems and methods for providing actionable recommendations in a facility. in this regard, a first service case is generated in response to identification of a first event associated with a first asset in a facility. the first service case comprises at least one of: a first recommendation to resolve the first event and a first root cause to diagnose the first event. further, the first service case is based on heuristic recommendations and heuristic knowledge for resolution of a plurality of service cases associated with at least one asset in the facility. a first input indicative of a resolution of the first service case is received. the first input has tagged information indicative of a modification to at least one of: the first recommendation and the first root cause. in response to receipt of the first input, a knowledge graph is updated based on the tagged information. the knowledge graph corresponds to a data model constructed for resolution of the plurality of service cases associated with the at least one asset in the facility. an occurrence of a second event associated with a second asset in the facility is identified. in this regard, the second event is related to the first event. a second service case is generated in response to identification of the second event. the second service case is generated based on the modification to at least one of: the first recommendation and the first root cause derived from the knowledge graph.

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