Abstract: A method of generating events based on automation system data in an intelligent programmable logic controller includes the intelligent programmable logic controller collecting automation system data and applying a context model to the automation system data to create contextualized data. The intelligent programmable logic controller generates one or more events based on the contextualized data.

Abstract: An embodiment relates to a method for processing an input query comprising: building an event processing framework based on the input query by converting operators of the input query into building blocks of the event processing framework.

Abstract: A novel power allocation method, as early as in the procurement of electricity, takes account of network congestion and simultaneously enables logical and physical separation of network control and power allocation. An allocation component and a network monitoring component separately from one another detect tasks relating to the allocation of power and via predetermined interfaces exchange information or intermediate states relating to the allocation before the allocation is actually implemented for power control. This enables adaptive power control of power sources and consumer units and the flexible implementation of a plurality of requirements of a modern power distribution network.

Abstract: A method and an apparatus for operating an automation system is provided. The method for operating an automation system includes the method steps of: providing a learning-based prediction model for the automation system trained by process data including context of an automation process, receiving information about current context of the automation process, verifying context change by comparing the current context to the context of said process data, in the case of any context change verifying a concept drift by comparing pre-drift process data and post-drift process data, in the case of any concept drift re-training said model with post-drift process data, in the case of no context change testing for random concept drift not detected by verifying context change, in the case of any random concept drift extend the current context by using data comprising previous context changes, otherwise no further method steps are required.

Abstract: A method of operating an intelligent programmable logic controller over a plurality of scan cycles includes creating, by the intelligent programmable logic controller, a process image area in a volatile computer-readable storage medium operably coupled to the intelligent programmable logic controller. The intelligent programmable logic controller then updates the process image area during each scan cycle with contents comprising data associated with a production unit. The contents of the process image area are stored by the intelligent programmable logic controller during each scan cycle on a non-volatile computer-readable storage medium operably coupled to the intelligent programmable logic controller. The intelligent programmable logic controller annotates the contents of the process image area with automation system context information to generate contextualized data.

Abstract: A method and a system for re-sequencing client production orders where client-individualized JIS components have not been delivered in due time according to the planned production schedule due to disturbances or have been delivered, but are defective. Three major steps are performed. First, by the introduction of the concept of differently permutable sub-sequences, the frozen time zone is divided into a plurality of sub-sequences of different length in time wherein the length is adapted to the time variants in the re-planning process. Second, using a knowledge-based model, the consequences of a disturbance are classified to be caused either by delayed supply or by defective parts. Third, after determining the type of distortion combining the type of sub-sequence with the status of the supply leads to the generation of three possible algorithms for the re-sequencing of the client production order.

Abstract: A control apparatus of an automation system, the control apparatus includers a database adapted to store time series data in a historian data source and adapted to store events derived from the time series data based on event detection rules in an event data source, wherein a semantic data or event query received by the control apparatus is mapped to a corresponding data source of the database to retrieve the queried data or event which are contextualized using an ontological context model of the automation system stored in the database and output by said-control apparatus in a semantic format is provided.

Abstract: A production module for performing a production function on a product, production system, production planning device, and method for planning the production of the product, wherein a plurality of production modules are intercoupled, where a self-description information set is stored within each production module as a database, e.g., NoSQL, OWL, ontology, SPARQL, which comprises properties of the production module, where if a production information set comprising the production steps required to produce the product is present, then the production information set and the self-description information sets or parts thereof are transmitted to a production planning device to plan production of the product and a production procedure plan for a product to be processed is determined, and where the production procedure plan comprises an information set about a sequence of production modules of the production system, which sequence a product should pass through to produce an intermediate product or end product.

Abstract: A configuration system and method adapted to perform a configuration or reconfiguration of applications run by an automation system, the configuration system including a processing unit adapted to process at least one natural language statement of a user requirement input by a user concerning a control and/or monitoring functionality of the automation system based on a user ontology of the user and/or an automation system ontology of the automation system to generate a formal requirements specification, and a matching unit adapted to match the generated formal requirements specification and formal component specifications read from a component library to derive a configuration deployment including one or several suitable components with configurations fulfilling the input user requirement.

Abstract: In the method for modeling a technical system, a semantic system model of the technical system is generated and the dependencies inside the system model are analyzed by a dependency analysis based on properties of the semantic system model.

Abstract: A method for making reliable sensor data available and a device for making reliable sensor data of a system available is provided, including the following steps: receiving sensor data from at least one sensor unit that monitors a system component of the system, and processing the received sensor data using at least one stored ontology and a statistical data analysis model for generating the reliable sensor data.

Abstract: A method of operating an intelligent programmable logic controller over a plurality of scan cycles includes the intelligent programmable logic controller executing a control program and one or more reasoning algorithms for analyzing data received and transmitted by the intelligent programmable logic controller. The intelligent programmable logic controller receives one or more user-specified declarative knowledge models from an external source via a deployment interface included in the intelligent programmable logic controller. The intelligent programmable logic controller dynamically modifies the reasoning algorithms during runtime of the control program based on the user-specified declarative knowledge models.

Abstract: A method for initializing an optimization function for parameters of a controller controlling a controlled system is provided. The controlled system includes at least one sensory component and at least one actuator component. The method includes receiving process data over time of the controller, determining a value of at least one prior specified key performance indicator (KPI) of the controller, and identifying a model of the controlled system. The method also includes comparing the at least one determined KPI value with at least one provided former KPI value, and comparing the identified model with at least one provided former model in the case of any significant difference between said values. The method includes initializing an optimization function of the controller parameters by using the determined KPI values as a cost function in the case of any significant difference between the models.

Abstract: To enable efficient abduction even for observations that are faulty or inadequately modeled, a relaxed abduction problem is proposed in order to explain the largest possible part of the observations with as few assumptions as possible. On the basis of two preference orders over a subset of observations and a subset of assumptions, tuples can therefore be determined such that the theory, together with the subset of assumptions, explains the subset of observations. The formulation as a multi-criteria optimization problem eliminates the need to offset assumptions made and explained observations against one another. Due to the technical soundness of the approach, specific properties of the set of results (such as correctness, completeness etc.), can be checked, which is particularly advantageous in safety-critical applications.

Abstract: First inter-organizational tracking & tracing systems facilitate timely identification and handling of disruptions along the supply chain. However, these systems typically operate at supply chain management (SCM) and enterprise resource planning system (ERP) level and therefore lack knowledge and control over production processes. The idea is to bridge the gap between logistics and production IT by proposing a novel architecture for coupling the manufacturing operations as defined in IEC 62264 with an EPCIS-compliant real-time tracking & tracing system. The system leverages logic-based complex event processing for detecting critical disruptions in the supply chain and initiates rescheduling of production. It is shown that in the presence of unexpected events the rescheduling algorithm minimizes delays and inventory costs while avoiding <<nervous schedules>> caused by frequent changes.

Abstract: A method of operating an intelligent programmable logic controller over a plurality of scan cycles includes creating, by the intelligent programmable logic controller, a process image area in a volatile computer-readable storage medium operably coupled to the intelligent programmable logic controller. The intelligent programmable logic controller then updates the process image area during each scan cycle with contents comprising data associated with a production unit. The contents of the process image area are stored by the intelligent programmable logic controller during each scan cycle on a non-volatile computer-readable storage medium operably coupled to the intelligent programmable logic controller. The intelligent programmable logic controller annotates the contents of the process image area with automation system context information to generate contextualized data.

Abstract: A novel power allocation method, as early as in the procurement of electricity, takes account of network congestion and simultaneously enables logical and physical separation of network control and power allocation. An allocation component and a network monitoring component separately from one another detect tasks relating to the allocation of power and via predetermined interfaces exchange information or intermediate states relating to the allocation before the allocation is actually implemented for power control. This enables adaptive power control of power sources and consumer units and the flexible implementation of a plurality of requirements of a modern power distribution network.

Abstract: A method and a system for re-sequencing client production orders where client-individualized JIS components have not been delivered in due time according to the planned production schedule due to disturbances or have been delivered, but are defective. Three major steps are performed. First, by the introduction of the concept of differently permutable sub-sequences, the frozen time zone is divided into a plurality of sub-sequences of different length in time wherein the length is adapted to the time variants in the re-planning process. Second, using a knowledge-based model, the consequences of a disturbance are classified to be caused either by delayed supply or by defective parts. Third, after determining the type of distortion combining the type of sub-sequence with the status of the supply leads to the generation of three possible algorithms for the re-sequencing of the client production order.

Abstract: An embodiment relates to a method for processing an input query comprising: building an event processing framework based on the input query by converting operators of the input query into building blocks of the event processing framework.

Abstract: A method predicts a derivable event in a logistic network. The method includes generating a Bayesian network describing a structure of at least a part of a logistic network. A query is received for the derivable event that depends on a combination of base events in the logistic network. The Bayesian network is instantiated for a plurality of points in time. A prediction of the derivable event is deduced from the instantiated Bayesian network by use of complex event processing.