Abstract: In a method for optimizing an operation of a dynamoelectric machine correction data for the dynamoelectric machine is requested by a client from a server. An identification number is transmitted by the client to the server, in particular via the Internet, and the correction data is transmitted by the server to the client. The dynamoelectric machine is operated based on the obtained correction data.

Abstract: Various embodiments of the teachings herein include a process for ammonia synthesis. An example includes: passing a feed gas via an inlet opening over a catalyst within a reactor, wherein the feed gas comprises nitrogen and hydrogen under pressure; passing ammonia produced in the reactor as a wet gas to a condensation unit comprising three heat exchangers configured monolithically with one another, wherein the ammonia condenses; and discharging the subcooled liquid pressurized condensate through a collection channel and discharging the dry gas via an outlet opening. The first heat exchanger causes the wet gas to exchange heat with a dry gas from which ammonia has already condensed, producing a cooled wet gas. The second heat exchanger separates the wet gas into gaseous reactants and a liquid pressurized condensate. The third heat exchanger subcools the liquid pressurized condensate.

Abstract: Various embodiments of the teachings herein include workflow generation methods. An example includes: receiving a behavior tree construction operation performed by a user on a GUI; generating a behavior tree comprising the first iterator node in response to the behavior tree construction operation; and parsing the behavior tree to generate a workflow, wherein the workflow indicates that each first iterative item executes the first work link based on the respective execution sequence in the first iterative item list. The construction operation comprises an addition operation for a behavior tree node, the behavior tree node comprises a first iterator node, the first iterator node comprises an input end adapted to receiving a first iterative item list, and a first work link, and the first iterative item list comprises a plurality of first iterative items and an execution sequence of each first iterative item.

Abstract: Various embodiments of the teachings herein include a method for classifying decentralized energy resources within a power grid for control of the power grid. An example includes: determining an affiliation of a respective decentralized energy resource to one of a plurality of classes using an artificial neural network; and carrying out the affiliation by determining an affiliation of the respective energy resource to one of the classes. The artificial neural network is trained to use a load series as input data and determine the assignment of the respective load series to one of the plurality of classes as output data. Multiple specified classes are associated with a technical type of the respective decentralized energy resource. Each of the energy resources is provided with a load series associated with the respective energy resource.

Abstract: Various embodiments of the teachings herein include an information processing method. An example method includes: generating a workflow in an OT domain described by using a common information model based on an instruction input by a user, wherein the workflow defines an operation to be performed by a workcell in the OT domain; converting the workflow into a function block program described in a domain specific language; and deploying the function block program described in the domain specific language to runtime of a main controller of the workcell for execution, to control an OT device in the workcell to perform, based on the workflow, the operation.

Abstract: Various embodiments include a method for determining the thermal consumption of an energy system having a thermal energy storage unit, wherein the energy system generates a total thermal energy within a time range comprising: determining a thermal charging energy of the thermal energy storage unit within the time range; determining a thermal discharging energy of the thermal energy storage unit within the time range; and calculating a resulting thermal consumption within the time range using a sum of the total thermal energy and the difference between the ascertained thermal discharging energy and the ascertained thermal charging energy.

Abstract: A redundant power supply is provided having a first power supply, which is connectable to a busbar by a first tie switch and is disconnectably connected to a first load by a first line system, and having a second power supply, which is connectable to the busbar by a second tie switch and is disconnectably connected to the first load by a second line system, and having a third power supply, which is connectable to the busbar by a third tie switch and is disconnectably connected to a second load by a third line system, and having a fourth power supply, which is connectable to the busbar by a fourth tie switch and is disconnectably connected to the second load by a fourth line system. All of the tie switches are open during trouble-free operation.

Abstract: A numerical controller uses specifications to control position-controlled axes of a production machine and determines a current group of position setpoint values and groups of position setpoint values expected for a forecast horizon. The numerical controller checks for the risk of a collision between at least one element moved by the position-controlled axes and at least one other element. The numerical controller carries out the same check for the expected groups. If there is no risk of collision, it stores the expected groups in a braking path memory and uses the current group. If there is the risk of a collision, it changes the axes along a path to a standstill defined by the braking path memory and braking is effected along a path which has been previously checked for the risk of a collision and for which no risk of a collision has been detected.

Abstract: Some embodiments of the teachings include: establishing a foundation layer comprising an OT domain low-code development tool, runtime, and a public information model, and an OT domain workflow generated by the development tool deployed on the runtime using the public information model; establishing a domain layer depending on the foundation layer, the domain layer comprising a field bus, a domain protocol, and a device tree of an application domain, the device tree comprising a connection relationship between devices; and establishing a user case layer that depends on the domain layer, the user case layer comprising user-defined function modules, and the user-defined function modules capable of being converted into the field bus, the domain protocol, and the device tree in the domain layer, wherein data obtained from a data platform is transmitted between the user case layer and the domain layer and transmitted between the layers using the model.

Abstract: Teachings of the present disclosure include methods and systems for automatically configuring and deploying a containerized application. An example method includes: obtaining source code associated with a containerized application; generating an integrated configuration file based on the source code, and constructing, with the integrated configuration file, a component associated with the source code; generating an image configuration file based on the source code and the integrated configuration file, and generating, with the image configuration file, a container image associated with the source code; generating an application configuration file based on the source code, the integrated configuration file, and the image configuration file; and generating the containerized application using the application configuration file and the container image.

Abstract: Various embodiments of the teachings herein include methods for determining the state of an electrical switchgear assembly. The method may include: measuring an electric current and a voltage dropped across the switchgear assembly; ascertaining a time interval of an arc occurring during a switching operation; comparing the ascertained time interval to a reference value specific to the switchgear assembly; measuring a voltage profile during the time interval; and comparing the voltage profile with a reference voltage profile. The time interval begins when the value of the measured voltage exceeds a first threshold value. The time interval ends when the value of the current intensity falls below a second threshold value.

Abstract: A method and a device for ascertaining control parameters in a computer-assisted manner for handling a technical system is provided. A starting state and the surroundings of the technical system are detected using at least one sensor, and a physical simulation model of the technical system is generated using same. On the basis of the starting state, different combinations of handling steps of the technical system are simulated with respect to a specified target state using the simulation model, wherein control parameters of the technical system for carrying out the handling steps are varied. The simulation data is used to train a machine learning routine by means of an evaluation of each handling step, and the trained machine learning routine is used to ascertain an optimized combination of handling steps. The control parameters of the optimized combination of handling steps are output to control the technical system is also provided.

Abstract: A method and to assembly for managing an automation program for an industrial automation platform, wherein the automation program is transferred to the automation platform and execution of the automation program is controlled, where in a first step, the automation program or a reference to the automation program is transferred from a Kubernetes master a virtual kubelet, in a second step, the transferred or referenced automation program is transferred to the industrial automation platform via a provider interface of the virtual kubelet, and in a third step, the execution of the transferred automation program on the industrial automation platform is controlled, where via the provider interface, control commands are transferred to the industrial automation platform and acknowledgement messages of the industrial automation platform are received and processed or forwarded to a control entity, such that automation programs can be managed, distributed and run using container orchestration systems.

Abstract: Various embodiments of the teachings herein include workflow creation methods. An example includes: storing preset behavior tree nodes in a node library, the nodes including main control nodes for controlling a running state of a workflow and function block nodes operable for implementing operations of a resource in a workcell; displaying the library on a GUI; receiving construction of behavior a tree and an instantiation configuration operation performed by a user on the GUI based on the node library, the behavior tree representing a workflow used for defining operations to be executed by a workcell; and generating a behavior tree instance corresponding to a workflow in response to the construction of the behavior tree. Construction of the behavior tree based on the node library comprises: connecting the start node, the function block nodes, and the end node or the start node, the function block nodes, and the loop node sequentially.

Abstract: Various embodiments of the teachings herein include a workflow construction method. An example includes: receiving function block node addition and connection operations from a GUI on the basis of function block type graphs, wherein each function block node implements a service operation; and constructing a behavior tree corresponding to one workflow in response to the function block node addition and connection operations. Each function block type graph comprises: a function block name, a function block header, a link input port and a link output port, an input data chunk and an output data chunk, a data input port and a data output port, and a function block body. The function block node addition operation comprises a dragging operation.

Abstract: A method and system for eradicating programmatical errors in engineering programs for a controller device is provided. The method includes capturing, by a processing unit, a plurality of input-output signals associated with a controller device. Further, the method includes simulating, by the processing unit, a plurality of input signals which are predicted to be received by the controller device during a future scan cycle of execution of the engineering program. The method further includes predicting an error state in the controller device in the future scan cycle, by execution of the engineering program in a digital twin of the controller device. The method further includes generating corrected engineering program by application of an Artificial intelligence model on the engineering program.

Abstract: A clocked buck-boost converter includes two switch elements and an inductor and via which an input voltage is converted into a regulated output voltage, wherein a first switch element or buck converter switch element is clocked using a first control signal, and a second switch element or boost converter switch element is clocked using a second control signal, where the first and second control signals are derived from a regulator manipulated variable from a regulating unit, first and second manipulated variables are generated for the first and second control signals, the regulator manipulated variable is amplified, an offset value is derived, and the two manipulated variables are then compared with a sawtooth signal and the two switch elements of the buck-boost converter are actuated or clocked in a corresponding manner to generate the first or second control signal.

Abstract: A method for securely starting up a container instance in one or more execution environments for one or more components of a technical installation, such an execution environment being designed to execute the container instance includes the following method steps: a) providing a configurable check function that is performed before and/or while starting up the container instance, b) logging each step for preparing at least one execution limitation required for starting up and/or executing the container instance, c) checking each logged step using at least one permissibility criterion configured in the check function, and d) completing the startup and if necessary the execution of the container instance if the at least one permissibility criterion is satisfied, or e) initiating an alerting measure or a measure that counteracts the startup if at least one of the possible permissibility criteria is not satisfied.

Abstract: A method for monitoring the status of an apparatus, wherein an analog signal is converted into a digital signal with an analog-digital converter operating within a measuring range, signal portions of the analog signal extending beyond the measuring range are cut in the digital signal, a spectral analysis is applied to the digital signal to determine which frequency potions the analog signal possesses in a frequency spectrum and conclude a malfunction of the apparatus when the analog signal exceeds the measuring range, where when the analog signal extending beyond the measuring range is in the digital signal, this event is detected and determined as a number, where a signal quality is provided which is used to assess whether known damage frequencies can still be identified from determined frequency portions of the frequency spectrum, although additional overcontrol portions in the frequency spectrum occur as a result of possibly cut signal portions.