Abstract: 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.

Abstract: A method of material flow optimization in an industrial process by using an integrated optimizing system is described. The integrated optimizing system includes: a high-level optimizer module describing the material flow by coarse high-level process parameters and including an optimization program for the high-level process parameters, the optimization program being dependent on high-level model parameters and including an objective function subject to constraints; a low-level simulation module for simulating the material flow, the low-level simulation module including a low-level simulation function adapted for obtaining detailed low-level material flow data based on the high-level process parameters; and an aggregator module including an aggregator function adapted for calculating the high-level model parameters based on the low-level material flow data.

Abstract: A method for monitoring a continuous industrial process is described. The industrial process includes a number of processing stations for processing material and a material flow between the number of processing stations. Each processing station dynamically provides data representing a state of the processing station. The method includes providing, for each processing station, a processing station layout of the processing station. The method further includes providing, for each processing station, an interface model of the processing station. The method further includes generating an information metamodel from the processing station layout and the interface model of the number of processing stations. The method further includes generating an adaptive simulation model of the industrial process by importing the data representing the state of the processing station provided by the number of processing stations into the adaptive simulation model via the information metamodel.

Abstract: A method of industrial processing of a bulk material, the industrial processing including a plurality of process steps, the method including defining a material portion of the bulk material; generating a material portion identifier associated with the material portion processing the material portion in at least two process steps of the plurality of process steps the method including for each process step of the at least two process steps: determining a cost of processing the material portion in the process step; and generating a history data set, wherein the history data set is indicative of the cost, the process step and the material portion identifier and wherein the method further includes determining an aggregated cost based on the history data sets.

Abstract: 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.

Abstract: A method for automatically supplying or locating data over a communication network comprising: configuring a data source to provide source data over the communication network, the source data being identified by a data identifier in a domain of identifiers; receiving a machine-readable description, the machine-readable description specifying at least one predicate that must be satisfied by the data; labeling data identified by the data identifier with labels at least in part indicative of data predicates that hold true for the data identified by the data identifier or that are satisfiable for the data identified by the data identifier; searching for the data based at least in part on the machine-readable description and the labels; obtaining a solution satisfying the predicate based on the search; and supplying the solution over the communication network to a data consumer.

Abstract: 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.

Abstract: A computer-implemented method of training an artificial intelligence module for selecting at least one component of an industrial drive system and an apparatus that includes a correspondingly trained AI module are described. The method includes providing an initial training data set that includes a set of rules, where each rule is indicative of a selection decision for selecting at least one component of the industrial drive system based on at least one usage requirement for the industrial drive system. Further, a modified training data set is generated based on supplementing the initial training data set with at least one further selection decision for selecting the at least one component of the drive system based on at least one of simulation data, empiric data, and operational data. Further, the AI module is trained based on the modified training data set.

Abstract: 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 mode

Abstract: 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.