公开(公告)号：US20230394329A1

公开(公告)日：2023-12-07

申请号：US18026533

申请日：2021-09-01

Applicant: Siemens Aktiengesellschaft

Inventor： Nataliia Rümmele ,  Swathi Shyam Sunder

IPC: G06N5/022

CPC classification number: G06N5/022

Abstract: A classification model is trained with elements from several data sources, with the elements including sensor data mounted in an industrial plant, and with the labels indicating a semantic type for each of the elements. The classification model is retrained with an adaptive learning algorithm implementing active learning and/or incremental learning, until the classification model is capable of mapping each element of the data sources to one of the semantic types. The method and system provide a semantic mapping for sensor data. The automated or semi-automated creation of the semantic mapping loosens the coupling between a domain expert and data scientist, serves as a bridge and reduces workload, speeding up data modeling and data integration steps. It provides inexperienced users with access to domain expertise. Re-use of data models is facilitated, which simplifies further integration and exchange activities. The adaptive learning algorithm provides an incremental enhancement of the classification model.

公开(公告)号：US12222705B2

公开(公告)日：2025-02-11

申请号：US18018575

申请日：2021-07-07

Applicant: SIEMENS AKTIENGESELLSCHAFT

Inventor： Elisabeth Heindl ,  Nataliia Rümmele ,  Jörg Neidig

IPC: G05B19/00 ,  G05B19/418

Abstract: System and method for facilitating engineering of an industrial system (250) are disclosed. The method comprising: generating a query (306) based on at least one of a user input and a user interaction with a Graphical User Interface (GUI) configured to enable engineering of the industrial system (250); mapping the query (306) to a knowledge database (140, 240) comprising engineering-data generated across multi-disciplinary platforms associated with at least one of design, engineering, commissioning, operation and maintenance of the industrial system (250), wherein the engineering-data is made available by one or more crawlers (122, 222-228) associated with the multi-disciplinary platforms and wherein the engineering-data is indexed in the knowledge database (140, 240) based on an engineering ontology of the industrial system (250); and displaying a notification (116, 172) on the GUI with a response the query (306), consequent to at least one of the user input and the user interaction, wherein the response comprises at least a list (174) of engineering-data related to the query (306), wherein the notification comprises at least recommendation to further engineering of the industrial system (250).

公开(公告)号：US20240419714A1

公开(公告)日：2024-12-19

申请号：US18695441

申请日：2022-09-26

Applicant: Siemens Aktiengesellschaft

Inventor： Swathi Shyam Sunder ,  Nataliia Rümmele ,  Tobias Aigner ,  Yogesh Kamath ,  Rani Joseph ,  Yogesh Borkhade ,  Prithvi Raj Ramakrishnaraja

IPC: G06F16/35 ,  G06F16/332 ,  G06F16/36

Abstract: A system and method for data management is provided. The method includes obtaining a dataset from a data source by a processing unit. The dataset includes a plurality of datapoints, and each of the datapoints belongs to a column among a plurality of columns. Further, an ontology label for at least one column in the dataset is predicted using a machine learning model. The predicted ontology label is associated with an ontology comprising a plurality of ontology labels. Further, a mapping between the dataset and the ontology is generated based on the relation between the predicted ontology label and the column. Furthermore, the datapoints are classified with respect to the ontology labels based on the mapping generated. The classified datasets are outputted on a user interface.

公开(公告)号：US20220027849A1

公开(公告)日：2022-01-27

申请号：US17312725

申请日：2019-12-11

Applicant: Siemens Aktiengesellschaft

Inventor： Dagmar Beyer ,  Mitchell Joblin ,  Lutz Lukas ,  Benjamin Paul ,  Martin Ringsquandl ,  Nataliia Rümmele ,  Amit Vaidya

IPC: G06Q10/08 ,  G06K9/62 ,  G06F16/901

Abstract: A computer implemented method for providing a service for a complex industrial system, the method including the steps of providing Bill of Materials, BoM, trees of system component instances of said complex industrial system; generating automatically a unified BoM data model by clustering matching nodes within the provided BoM trees; and performing the service for the complex industrial system based on the generated unified BoM data model is provided.

公开(公告)号：US20230297082A1

公开(公告)日：2023-09-21

申请号：US18018575

申请日：2021-07-07

Applicant: SIEMENS AKTIENGESELLSCHAFT

Inventor： Elisabeth Heindl ,  Nataliia Rümmele ,  Jörg Neidig

IPC: G05B19/418

CPC classification number: G05B19/4185 ,  G05B19/4187

Abstract: System and method for facilitating engineering of an industrial system (250) are disclosed. The method comprising: generating a query (306) based on at least one of a user input and a user interaction with a Graphical User Interface (GUI) configured to enable engineering of the industrial system (250); mapping the query (306) to a knowledge database (140, 240) comprising engineering-data generated across multi-disciplinary platforms associated with at least one of design, engineering, commissioning, operation and maintenance of the industrial system (250), wherein the engineering-data is made available by one or more crawlers (122, 222-228) associated with the multi-disciplinary platforms and wherein the engineering-data is indexed in the knowledge database (140, 240) based on an engineering ontology of the industrial system (250); and displaying a notification (116, 172) on the GUI with a response the query (306), consequent to at least one of the user input and the user interaction, wherein the response comprises at least a list (174) of engineering-data related to the query (306), wherein the notification comprises at least recommendation to further engineering of the industrial system (250).