Abstract: A method for configuring and parameterizing field bus subscribers interconnected via a field bus, wherein a first field bus subscriber provides and/or receives process data and a second field bus subscriber allows a user program to run, where a topology is determined by a configuration tool with configuration parameters of the field bus subscribers in a configuration file, the first field bus subscriber is parameterized for subsequent communication via the field bus with a configuration data set including a first part of the configuration file, from the configuration file and further code portions from a program library, an object-orientated class is generated with elements and functions for communication between the first and second field bus subscribers, and the class is instanced in the user program of the second field bus subscriber, the functions being used for communication during execution of the user program to permit access to the process data.

Abstract: Provided is a device for ensuring safe operation of a technical system configured to generate a smart contract including a condition to be fulfilled for safe operation of a technical system, to store smart contract data of the smart contract in a distributed ledger, and to determine if the technical system fulfills the condition using the smart contract.

Abstract: The teachings of the present disclosure relates to data transformation from source data in RDB format to result data in RDF format. Various embodiments of these teachings make source data from e.g., sensors and/or monitoring devices machine readable by transforming datasets in RDB format to datasets in graph dataset format as RDF datasets are.

Abstract: Various embodiments of the teachings herein include an insulation system. An example includes a polymer blend in the form of a solid two-dimensional insulation material, a material for wire insulation by means of extrusion and/or an injection-molded and/or compression-molded article. The blend is resistant to partial discharges and at least partly replaces any mica content in the insulation system. The blend comprises at least three blend partners including at least one copolymer based on polyetherimide and siloxane blended with at least two high-temperature thermoplastics. At least of one the high-temperature thermoplastics is in semicrystalline form, such that spherulites are detectable in the polymer blend.

Abstract: The disclosure relates to an industrial personal computer comprising: a main housing at least one panel of which is used as a CPU heat dissipating member, a portion of the one panel being recessed to form a pocket; a CPU, heat generated by the CPU being transferred to the CPU heat dissipating member and then dissipated directly into the ambient air; a SSD at least partially positioned in the pocket; and a SSD heat dissipating member positioned in the pocket and exposed to the ambient air, heat generated by the SSD being transferred to the SSD heat dissipating member and then dissipated directly into the ambient air, wherein the SSD heat dissipating member is heat isolated from the CPU heat dissipating member.

Abstract: Various embodiments of the teachings herein include a method for monitoring a flux application in a soldering process. An example includes: defining flux wetting surfaces in relation to an image of an application surface; generating a thermographic recording of the application surface selectively provided with liquid flux; defining adjustment points on the application surface which can be identified on the image and on the thermographic recording; superimposing the image and the thermographic recording on the basis of the adjustment points; and comparing the position of temperature anomalies on the application surface identified by the thermographic recording with the position of the flux wetting surfaces on the image.

Abstract: Various embodiments of the teachings herein include a method for operating an electronics production line for producing electronic assemblies. The electronics production line comprises a device to apply joining material onto component carriers, an assembly device to place electronic components onto the component carriers, a joining device to join the electronic components to the component carriers, and a transport to transport the component carriers through the production line. An example method includes: transporting a process parameter acquisition system through the electronics production line on the transport; measuring actual process parameter values with the process parameter acquisition system; providing setpoint process parameter values; determining any deviations between actual and setpoint process parameter values; and providing a dataset including the deviations.

Abstract: Provided is a method wherein a movement or a manipulation of an object by a robot, observing constraints, from a starting condition to the manipulation target, is generated, wherein the manipulation is divided into different manipulation modes or sections, which include different constraints, wherein a plurality of manipulation mode-specific controllers for controlling partial manipulations in the different manipulation modes for sections are randomly generated and an optimized sequence of the controllers is randomly generated, wherein the controllers specify a vector field or a directional field, wherein a simulation module simulates the manipulation or movement for each of the controller sequences and determines an expense value or a cost value quantifying a reaching of the manipulation target, and wherein the controller sequence and the expense value are supplied to a machine learning module as training data in order to indicate an expense-optimized controller, which optimizes or minimizes the expense valu

Abstract: Provided is a method for determining set-up families for a pick-and-place line for populating circuit boards with electronic components one or more component types, the method including the following steps: detecting a predetermined or predeterminable number of set-up families; wherein a set-up family is defined as a quantity of circuit boards that can be populated on a pick-and-place line without changing the quantity of component types kept ready for population on the pick-and-place line; wherein an assignment of circuit boards to be distributed to the detected number of set-up families is optimized by integer linear programming in such a way that the sum of the numbers of component types per set-up family is minimized; and populating the circuit boards in the set-up family assigned to them.

Abstract: A method for providing time-critical services via a flow control environment, wherein each service is assigned a server component that includes at least one application instance and that is formed by a flow control component that is loadable into the flow control environment and executed there, where an individual virtual communication network is made available for each server component via the flow control environment, a reverse proxy of a subnetwork, comprising the flow control environment, forwards service access requests, for use of the services outside of the subnetwork in accordance with predefined forwarding rules, to the respective server component via its virtual communication network, and the where the virtual communication networks are used for all application instances of the respective server component for forwarding the service access requests.

Abstract: Various embodiments of the teachings herein include methods for operating an energy management system of a grid participant electrically connectable to an electrical grid at a grid connection point comprising: a) receiving data from an electricity exchange characterizing a remuneration for a first service provided to the electrical grid by the grid participant and/or a second service obtained by the grid participant from the electrical grid; b) determining a load profile for the grid participant as a function of the received data, wherein the energy management system at least temporarily operates the grid participant according to the determined load profile so the grid participant provides the power to the electrical grid and/or obtains the power from the electrical grid; and c) transmitting the load profile to the electricity exchange.

Abstract: Various embodiments of the teachings herein include an electric motor. The electric motor may include: a rotor; a stator; an air-gap sleeve; and a cooling liquid on an inner side of the stator. The air-gap sleeve seals a rotor inner region against the cooling liquid. The air-gap sleeve produces an overpressure of greater than 1 bar in a region of the rotor defined by the air-gap sleeve.

Abstract: In a method for operating a machine having a trajectory determined by a parts program and including multiple block transitions with a non-tangential contour, a high trajectory speed and a short operating time are achieved. For a first position-controlled axis, an acceleration duration different from a first period duration can be specified, wherein a transition maximum speed for the first position-controlled axis is determined such that, when the first position-controlled axis moves with the transition maximum speed and the transition maximum acceleration is applied, the speed of the first position-controlled axis has a value of zero at the end of the acceleration duration. The traversing movement is determined such that the speed of the first position-controlled axis, at the transition from a first trajectory section to a second trajectory section, does not exceed the transition maximum speed.

Abstract: The present invention relates to a system and corresponding computer-implemented method for identifying exceptions in behavior of a computer system or of an application executed on the computer system. The system comprises: a component for building at least one pattern from monitored signals over a specific time period whereby the pattern is an exception identified via signal constellation out of system-side recorded resource usage data and measured energy consumption data of the entire computer system, a component for identifying an exception by comparing the at least one pattern with one or more afore built patterns each labelled with a pre-defined exception classification, a storage component for storing at least one compared, unmatched pattern for subsequent exception identification, wherein the unmatched pattern is labelled with any pre-defined exception classification via user interaction, an output component for outputting an alarm message onto an output device if any compared pattern matches.

Abstract: Various embodiments of the teachings herein include a method for controlling a battery production system. An example includes: measuring production parameters with a plurality of sensors; determining a quality value of a battery cell with the measurement values; calculating a dependency of the quality value on the measurement values with a computing unit; calculating a dependency of the quality value on changed production parameters by performing a machine learning method; determining a controllable process parameter with an improved quality value using a parameter optimization for the machine learning method including a Bayesian optimization, wherein measurement values with associated quality values are included in the optimization as reference points; and using the controllable process parameter with an improved quality value in operation of the battery production system.

Abstract: A component of the technical system, a component designation and a characteristic parameter designation for a characteristic parameter of relevance to the design of the components are read and a search engine is queried with same is provided. The documents found by the search engine are read and component information, e.g. product information concerning a specific component, is extracted from said documents. The extracted component information is supplied to a machine learning routine which has been trained, using a plurality of predefined training component information and training characteristic parameter values, to reproduce predefined training characteristic parameter values using predefined training component information. Output data from the machine learning routine is selected as characteristic parameter values and inserted into a planning data record. The planning data record is then output to design the technical system.

Abstract: Various embodiments of the teachings herein include an electric motor. In some embodiments, the motor includes: a stator; and a moving component comprising an iron-based soft-magnetic structural material including crystallites of a ferromagnetic iron-based alloy separated by grain boundaries, wherein there is interlayer-free contact between the crystallites at grain boundaries. The structural material comprises ceramic fibers. A content of the ceramic fibers is between 0.2% and 10% by volume. An aspect ratio of the ceramic fibers is less than 0.1.

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