Abstract: System and methods for configuring a technical system based on generated rules and building the technical system. The technical system and the generated rules are given in graph representations including the following steps: defining rules by a user and representing the rules in a graphical interface, converting the rules from the graphical interface into a programming language and/or a natural language, validating the rules for the technical system, checking the compatibility of the rules, serializing the rules for storage in a file system or a database, using the serialized rules to configure the technical system, and building the configured technical system.

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.

Abstract: System and method for facilitating engineering of an industrial system (250) are disclosed.

Abstract: System and method use an engineering software tool to construct a graphical design of an industrial system for a design project and an artificial intelligence (AI) module integrated with the engineering tool to classify functionality of components for a current design project using a trained machine learning-based model. The AI module receives a knowledge graph for the current project based on data associated with the graphical design. The knowledge graph represents an ontology for a set of elements and element relationships respectively, representative of system components. The AI module identifies a functionality for each knowledge graph node based on the classifier model, clusters knowledge graph nodes according to identified functionality, and generates functionality-based recommendations based on the clusters in response to user queries. Compliance validation of the design data to regulation standards and policy is performed at the component level by an inference engine.

Abstract: A method for planning an electrical power transmission network using a planning arrangement includes providing a first input dataset, and converting the first input dataset into graphical representation using a conversion device. The graphical representation contains topology information for interconnection of equipment items and data communication information and parameterization information for equipment items. Different types of equipment are distinguished by a first identifier, electrical connections are distinguished by a second identifier and data communication links are distinguished by a third identifier. Multiply recurring patterns in the graphical representation are identified by a pattern recognition device. A respective frequency of patterns is determined by the pattern recognition device. All patterns having a frequency exceeding a predetermined threshold are marked as candidate samples by the pattern recognition device.

Abstract: The invention specifies a computerized method for configuring a technical system comprising a sequence (Pi) of system components (Si), whereby each sequence (Pi) of system components (Si) can be assigned to a sequence pattern and whereby the sequence comprises at least one system component (Si), whereby the method comprises the following steps: specifying a support threshold for sequence patterns (M1) by a user, starting the configuration of the technical system (M2) by choosing a sequence of system components (Si) by the user (U), analysing (M3) the chosen sequence (Pi) of system components (Si) and extracting sequence patterns by an automation unit (A), and introducing (M4) at least one further system component (Si) based on the extracted sequence pattern and according to the support threshold by the automation unit (A). The invention further specifies a computer program product and a computer-readable storage medium.

Abstract: Hidden Features are locally extracted from Industrial Data of the industrial system by a Local Application executed on a local computer of a customer. The Hidden Features are uploaded to an external computer of a service provider. A Domain Model for the industrial system is externally determined from an Industrial Model Library (IML) on the external computer based on the uploaded Hidden Features by an External Algorithm including at least one Machine Learning Model (MLM) executed on the external computer. The determined Domain Model for the industrial system is provided to the customer. The at least one MLM has been trained on ranking most appropriate Domain Models for industrial systems based on Hidden Features of the respective industrial systems. The most appropriate Domain Models represent all relevant technical aspects of the respective industrial systems.

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.

Abstract: A method for planning an electrical power transmission network using a planning arrangement includes providing a first input dataset, and converting the first input dataset into graphical representation using a conversion device. The graphical representation contains topology information for interconnection of equipment items and data communication information and parameterization information for equipment items. Different types of equipment are distinguished by a first identifier, electrical connections are distinguished by a second identifier and data communication links are distinguished by a third identifier. Multiply recurring patterns in the graphical representation are identified by a pattern recognition device. A respective frequency of patterns is determined by the pattern recognition device. All patterns having a frequency exceeding a predetermined threshold are marked as candidate samples by the pattern recognition device.

Abstract: System and methods for configuring a technical system based on generated rules and building the technical system. The technical system and the generated rules are given in graph representations including the following steps: defining rules by a user and representing the rules in a graphical interface, converting the rules from the graphical interface into a programming language and/or a natural language, validating the rules for the technical system, checking the compatibility of the rules, serializing the rules for storage in a file system or a database, using the serialized rules to configure the technical system, and building the configured technical system.