公开(公告)号：US20240305572A1

公开(公告)日：2024-09-12

申请号：US18589535

申请日：2024-02-28

Applicant: ABB Schweiz AG

Inventor： Jan Christoph Schlake ,  Santonu Sarkar ,  Marie Christin Platenius-Mohr ,  Madapu Amarlingam ,  Reuben Borrison

IPC: H04L47/2441 ,  H04L67/1097 ,  H04L67/12

CPC classification number: H04L47/2441 ,  H04L67/1097 ,  H04L67/12

Abstract: A method for providing an efficient communication in a hierarchical network of distributed devices includes collecting first data from a first client device sent by a sensor via a second communication interface; storing the first data in a data storage; determining metadata of the first data; receiving a requirement information of the first data; generating classification information of the first data according to the metadata and the requirement information; providing the classification information to a master device and/or to a second client device according to a rule; and updating the classification information when the first data is changed.

公开(公告)号：US20250068155A1

公开(公告)日：2025-02-27

申请号：US18944183

申请日：2024-11-12

Applicant: ABB Schweiz AG

Inventor： Sameer Chouksey ,  Madapu Amarlingam ,  Deepti Maduskar ,  Divyasheel Sharma ,  Srijit Kumar

IPC: G05B19/418

Abstract: An industrial automation system comprises multiple process components, each categorizable into a cohort corresponding to a cohorting criterion. Some process components are configured to perform a machine learning (ML) process. A process component hosts at least a part of an ML model per cohort and communicates the ML model parameters among the multiple process components. The system assigns one or more of the process components to one of the cohorts according to the cohorting criterion; attributes the ML model parameters of a process component in a selected one of the cohorts to the ML model belonging to the selected cohort; determines a proximity value of each pair of cohorts; assigns a pair of cohorts to a respective neighboring cohort group when the proximity value meets a predetermined proximity criterion; and shares the ML model related data between process components belonging to the same neighboring cohort group.

公开(公告)号：US20240303131A1

公开(公告)日：2024-09-12

申请号：US18598379

申请日：2024-03-07

Applicant: ABB Schweiz AG

Inventor： Santonu Sarkar ,  Marie Christin Platenius-Mohr ,  Jan Christoph Schlake ,  Madapu Amarlingam ,  Nafise Eskandani ,  Reuben Borrison

IPC: G06F9/50

CPC classification number: G06F9/505

Abstract: A computer-implemented method for orchestrating execution of workloads on nodes includes determining a set of requirements for resources needed for execution of the workload; determining for each compute node an availability of the resources required; establishing multiple candidate configurations having an assignment of each compute workload to at least one pair of a compute node and a working class, wherein different working classes differ at least in the degree of retention of the compute workload in memory and/or in at least one cache of the compute node after execution; computing for each candidate configuration at least one figure of merit with respect to at least one given optimization goal; and determining a candidate configuration with the best figure of merit as the optimal configuration.

公开(公告)号：US20240303208A1

公开(公告)日：2024-09-12

申请号：US18598067

申请日：2024-03-07

Applicant: ABB Schweiz AG

Inventor： Santonu Sarkar ,  Marie Christin Platenius-Mohr ,  Madapu Amarlingam ,  Jan Christoph Schlake ,  Reuben Borrison

IPC: G06F13/362

CPC classification number: G06F13/362

Abstract: A system and method for enabling an efficient data processing in a distributed network of devices includes collecting first data from at least one client device sent by at least one plant device via a first communication interface; storing the first data in a data storage; profiling the first data to obtain characteristic information of the collected first data; determining a data processing strategy upon a result of the characteristic information of the first data; processing the first data according to the data processing strategy and deciding which data of the first data need to be sent to the master device via a second communication interface.

公开(公告)号：US20240303175A1

公开(公告)日：2024-09-12

申请号：US18598034

申请日：2024-03-07

Applicant: ABB Schweiz AG

Inventor： Jan Christoph Schlake ,  Madapu Amarlingam ,  Marie Christin Platenius-Mohr ,  Santonu Sarkar ,  Reuben Borrison

IPC: G06F11/34

CPC classification number: G06F11/3409

Abstract: A method for system monitoring in a hierarchical network of distributed edge devices includes a master edge, first and second client edges connected via a first communication interface to the master edge, the method including receiving sensor data from a sensor device via a second communication interface, determining a first local model parameter representing a machine learning (ML) model of the at least first client edge based on the sensor data; storing the first local model parameter in a data storage of the at least first client edge; collecting the first local model parameter from the at least first client edge; and generating a global ML model based on the at least first local model parameter, wherein the global ML model is used for monitoring a system performance or a condition of the system.