Abb Schweiz Ag

Prerna Juhlin

Somayeh Malakuti

Johannes Schmitt

Jens Doppelhamer

Katharina Stark

Sten Gruener

Pablo Rodriguez

A system for optimal drive configuration using machine learning; the system includes: a data collector configured to collect data and establish correlations among the collected data; a training data set generator configured to compute configuration sets based on the collected data and based on the established correlations, further configured to compute measured success values for the configuration sets, further configured to generate training data sets that include the configuration sets together with corresponding measured success values; a machine learning module, configured to predict predicted success values for calculated configuration sets using the training data sets provided by the training data set generator using machine learning algorithm; and an optimization module, configured to order the calculated configuration sets, including a simulation module, configured to simulate the calculated configuration sets.

System and method for optimal drive configuration using machine learning

A computer-implemented method for retrieving data that relates to at least one industrial asset includes the steps of: receiving, from a requesting entity, a query for data objects from one or more lifecycle phases of the at least one industrial asset; mapping the query to one or more types of data objects that are available from one or more given data sources relating to the at least one industrial asset; obtaining, from the one or more data sources, one or more data objects of the one or more types; producing, from the one or more data objects, a response to the query; and transmitting the response to the requesting entity.

Retrieving industrial asset data from disparate data sources

A computer system for interoperable data exchange between a plurality of information systems via a digital representation service associated with a digital representation of a physical device with each information system being at least one of an information source and an information consumer regarding data associated with the physical device, the digital representation being a virtual entity replicating data of the physical device and data associated with the device life cycle, includes: at least one digital representation service for the physical device, the at least one digital representation service having: an interface for receiving a request for device related data; a management module for generating and updating the digital representation of the device, the digital representation storing a plurality of data models with each stored data model being associated with a particular information system; and a semantic relations library storing semantic relations between model element types from stored data models.

System and method for interoperable communication of an automation system component with multiple information sources

A production line for manufacturing a building block, which includes at least one component, the production line including: a central conveyor line; at least one feeding line for feeding the at least one component to the central conveyor line; a manufacturing tool set for processing the at least one component; and a control unit for controlling the central conveyor line, the feeding line, and/or the manufacturing tool set. The controlling at least one of the central conveyor line, the feeding line, and/or the manufacturing tool set includes: retrieving an asset-information about the at least one component and/or the manufacturing tool set, conveying the at least one component according to the asset-information by the feeding line to the central conveyor line, retrieving a processing-information and/or a manufacturing tool set information about processing the at least one component, and processing the at least one component by the manufacturing tool set.

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Heidelberg, Germany

Prerna Juhlin