公开(公告)号：US20230392954A1

公开(公告)日：2023-12-07

申请号：US17814701

申请日：2022-07-25

Applicant: HONEYWELL INTERNATIONAL INC.

Inventor： Sujaya Rao ,  Priyanshu Sinha ,  Satyanarayan Kar

IPC: G01C23/00 ,  G06F40/30 ,  G08G5/00 ,  B64D43/00

CPC classification number: G01C23/005 ,  G06F40/30 ,  G08G5/0021 ,  B64D43/00 ,  G08G5/003

Abstract: Methods and systems are provided for assisting operation of a vehicle by intelligently prioritizing messages relevant to a route for the vehicle. One method involves analyzing textual content of the message to automatically identify values for a plurality of fields of information specified by the message and obtaining current values for one or more of those fields from one or more data sources associated with the vehicle. In response to identifying a difference between a specified value and the corresponding current value for a field of information, the method automatically assigns a priority level to the message based at least in part on the difference and provides graphical indicia of the priority level assigned to the message and the specified value for the field.

公开(公告)号：US20250078007A1

公开(公告)日：2025-03-06

申请号：US18462382

申请日：2023-09-06

Applicant: Honeywell International Inc.

Inventor： Anand Narayan ,  Rahul Ravi ,  Rakshitha Prabhu ,  Akriti Kedia ,  Priyanshu Sinha ,  Varshaneya V

IPC: G06Q10/0639 ,  G06Q10/04

Abstract: Predetermined Key Performance Indicators (KPIs) of an industrial process may be predicted. A plurality of tags each identify a corresponding KPI of the industrial process and historical values for the KPIs that are identified by the plurality of tags. A KPI forecast model is trained for each of the KPIs that are identified by the plurality of tags, wherein each of the KPI forecast models is trained based at least in part on the received historical values for at least some of the KPIs that are identified by the plurality of tags. A forecasted KPI value is generated for each of the KPIs identified by the plurality of tags based at least in part on the corresponding KPI forecast model that corresponds to the respective KPI.