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1.
公开(公告)号:US20200042307A1
公开(公告)日:2020-02-06
申请号:US16529311
申请日:2019-08-01
Applicant: Otis Elevator Company
Inventor: Arthur T. Grondine , Madhavaraju Nadimpalli , Naveen Kumar Yeddi , Veeranjaneyulu Manyam , Appalaraju Marpu , Rohit Kumar , Shari R. Parillo , Gopala Rao Vulli , Dinesh Kumar Tripathi
Abstract: A processor-implemented method for pushing a revision to an automated passenger conveying subsystem is provided. The processor-implemented method receives the revision over a network to make the revision available to one or more subsystems. An application executed on a processor of the network, then, receives a selection input identifying the automated passenger conveying subsystem of the one or more subsystems. In turn, the application sends a message to the automated passenger conveying subsystem based on the selection input. The message identifies that the revision is available for downloading and deployment. An exchange operation is executed to push the revision to the automated passenger conveying subsystem.
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2.
公开(公告)号:US11472663B2
公开(公告)日:2022-10-18
申请号:US16585488
申请日:2019-09-27
Applicant: Otis Elevator Company
Inventor: Appalaraju Marpu , Naveen Kumar Yeddi , Gopala Rao Vulli , Veeranjaneyulu Manyam
Abstract: A system for providing an automatic software upgrade assistant for remote elevator monitoring experts using machine learning. The system performs operations that include receiving a request from a requestor to install a software upgrade on a controller of an elevator component, the software upgrade dependent on at least one software program being installed on the controller. It is determined whether the at least one software program is installed on the controller. Based at least in part on determining that the at least one software program is installed on the controller: an elapsed time to complete the installation of the software upgrade on the controller is predicted; and an indication is output to the requestor that the software upgrade is permitted to be installed on the controller and the predicted elapsed time to complete the installation.
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