Abstract: A method for monitoring a working environment of a movable device utilizing a monitoring apparatus, wherein the working environment includes a working area and at least one protected area and the movable device is located within the working area during normal operation of said movable device, where the method includes a user inputting a plurality of convex polytopes into the monitoring apparatus, the convex polytopes corresponding to areas in which the movable device is located during normal operation, determining a convex polytope hull using the monitoring apparatus, the convex polytope hull completely enclosing the multiplicity of convex polytopes, and determining the at least one protected area by calculating a difference from the convex polytope hull and the input using the monitoring apparatus, such that monitoring of the position of the movable device is simplified because the working area can be modeled autonomously.

Abstract: A sensor device has a clock generator, a counter, an exciter device, a sensor element and an evaluation device, and outputs a sensor signal in response to a request signal having alternating leading and trailing edges. The counter reading is incremented differently, depending on whether the request signal has a leading/trailing edge between two successive leading or trailing edges of the clock signal. If the request signal has such a leading/trailing edge the counter corrects the counter reading. The value of the excitation signal outputted by the exciter device depends on the counter reading or a value derived therefrom. The sensor element outputs based on the excitation signal a raw signal, which is supplied to the evaluation device. The evaluation device determines based on this information whether to acquire the raw signal and how to take the raw signal into account when establishing the sensor signal.

Abstract: Various embodiments include a method for facilitating tomographic reconstruction comprising: emitting an x-ray beam from an x-ray unit; ascertaining an attenuation of the x-ray beam during transmission through an object situated in a beam path of the x-ray beam; ascertaining structure data of the object based at least in part on the attenuation of the x-ray beam; and ascertaining a pose of the x-ray unit relative to the object using a digital model of the object and based at least in part on the attenuation of the x-ray beam.

Abstract: An automated method determines a safety zone for a robot. The robot carries out operations along a specified trajectory. For collision-free operation, a safety zone is determined by: dividing the specified trajectory into a plurality of subtrajectories; determining a plurality of fine-grained envelope cuboids around extreme points of each subtrajectory; and determining a number of optimized envelope cuboids from an enlargement of individual fine-grained envelope cuboids in relation to the volume occupied by the enlarged fine-grained envelope cuboids. The optimized envelope cuboids determined in this way form the safety zone for the trajectory. This automated method can be expanded to multiple trajectories of a robot, multiple robots, and replanning a trajectory for an occupied semaphore zone.

Abstract: A method for securely managing operations of a field device in an industrial environment includes receiving a request to operate the field device from one or more data sources. The request includes information associated with the field device, requestor information, and at least one operation command to be executed on the field device. The method further includes generating one or more control signals to operate the field device based on the received request. Further, the method includes validating the generated one or more control signals based on information related to the field device and proximity of one or more objects with respect to location of the field device. The method includes outputting the generated one or more control signals to at least one field device via a network based on successful validation of the one or more control signals. The outputted one or more control signals operate the field device.

Abstract: The following allows complex control instruction chains to be performed in an (automation) network, in which nodes and/or device nodes and/or blockchain-external devices are networked to one another, in a simple manner even if different operators of the individual nodes and devices do not trust one another.

Abstract: Various embodiments of the teachings herein include a computer-assisted method for simulating a loss of capacity of a battery store. The method may include: creating a load characteristic of the battery; determining temporal characteristics of simulated operating data of the battery with the load characteristic as input data based on modelled behavior of the battery store in an ECM; analyzing the operating data, including determining minimum open-circuit voltages and maximum open-circuit voltages based on the temporal characteristics; determining open-circuit voltage differences between the minimum and the maximum open-circuit voltages and determining mean open-circuit voltages; and determining a loss of capacity of the battery store in an aging module using an aging model based on the open-circuit voltage differences and mean open-circuit voltages as input variables.

Abstract: Various embodiments of the teachings herein include a method for authorizing a charging process at a charging point. The method may include: establishing a near field interface between an authentication means and the charging point; transmitting a user identification signed using a signature key via the near field interface and authenticating by checking the signed user identification; reconciling a plurality of condition data sets retained in a memory area of the authentication means with a plurality of condition data sets retained in a memory area of the charging point, wherein an item of version information is assigned to one of the condition data sets and a first condition data set is replaced by a second condition data set by the reconciliation in consideration of a comparison of the respective version information; and authorizing the charging process by evaluating one of the condition data sets.

Abstract: Provided is a method for securing an item of device use information of a device, having the following steps: —determining the item of device use information; —generating transaction data depending on the item of device use information; —generating a blockchain data structure which is based on a cryptocurrency and includes the transaction data or a checksum of the transaction data; —sending the generated blockchain data structure to at least one blockchain node. The item of device use information of a device according to the described method is change-protected by a decentralized security structure. Thanks to the distributed blockchain database, the item of device use information of the device cannot be manipulated subsequently. The use of the decentralized blockchain technology also advantageously means that no central trusted point or party is necessary.

Abstract: Provided is a detection device which is suitable for receiving a service within a network assembly, having the following:—means for providing cryptographic security at or above the transport level of the communication protocol levels which can be used in the network assembly for at least one first existing communication connection between the detection device and a network access device which is arranged in the network assembly and which can be used to monitor data detected by the detection device and/or control an additional device within the network assembly using the data detected by the detection device,—means for generating and/or determining network access configuration data for at least one additional second communication connection, which is to be cryptographically secured below the transport level, between the detection device and the network access device,—means for providing the generated and/or determined network access configuration data to the network access device.

Abstract: Systems, methods, and computer-readable media are described for performing weakly supervised semantic segmentation of input images that utilizes self-guidance on attention maps during training to cause a guided attention inference network (GAIN) to focus attention on an object in an input image in a holistic manner rather than only on the most discriminative parts of the image. The self-guidance is provided jointly by a classification loss function and an attention mining loss function. Extra supervision can also be provided by using a select number pixel-level labeled input images to enhance the semantic segmentation capabilities of the GAIN.

Abstract: A pole assembly of a switching device is provided. The pole assembly includes a first interrupter unit operably connected to a pole plate of the pole assembly via first post insulators. The first interrupter provides a path for current flow through the first interrupter in a closed state and interrupts the current flow in an open state. A second interrupter unit is operably connected to the first interrupter unit and to the pole plate via second post insulators. The second interrupter allows the current flow through the first interrupter unit in an open state and grounds the switching device in a closed state. The pole assembly includes a dielectric shield physically disposable between and operably connected to the first post insulators and the second post insulators for uniformly distributing an electric field generated during operation of the pole assembly.

Abstract: Various embodiments include prediction model learning methods for industrial systems, including a simulation according to a simulation task on a platform. Some methods include: using statistical metrics to quantify a simulation task to extract features; extracting parameter groups from system modules, adjusting the values of the parameter groups, and triggering a simulation for the industrial system on the simulation platform based on a plurality of parameter groups having different values; recording performance metrics according to the values of the parameter groups after the parameter adjustment; and training data with a machine learning algorithm based on the features of the simulation task, the corresponding parameter groups having different values and the performance metrics, and generating a prediction model.

Abstract: Various embodiments of the teachings herein include a method for identifying/detecting non-qualified services in a network of distributed services. In some embodiments, the method includes: detecting comparative interaction patterns between at least two services in a contract; observing interaction patterns during the communication of the services; and comparing the observed interaction patterns with the comparative interaction patterns.

Abstract: Various embodiments include a method for product quality inspection on a group of products. The method may include: getting for each product in the group of products: image, value for each known fabrication parameter affecting quality of the group of products, and quality evaluation result; training a neural network. A layer of the neural network comprises at least one first neuron and at least one second neuron; each first neuron represents a known fabrication parameter affecting quality of the group of products and each second neuron represents an unknown fabrication parameter affecting quality of the group of products; and the images of the group of products are input to the neural network, the quality evaluation results are output of the neural network, and the value of each first neuron is set to the value for the known fabrication parameter the first neuron representing.

Abstract: The invention relates to a method for supporting a user when creating an application (10) for accessing IoT data by means of individual or multiple functions (14) comprised by a programming interface (12). While creating the application (10) or in combination with the creation of the application (10), user data (30) which characterizes the user and behavior data (32) are received and/or generated, and a tool (20) which is implemented into software automatically evaluates the user data (30) and the behavior data (32) during the creation of the application (10). On the basis of the data, a recommendation for at least one programming interface (12) function (14) which could be relevant to the user and the application (10) is automatically generated and displayed to the user in order to support the user.

Abstract: The claimed interface extension device is based on a network device (DCC) having at least one previously unoccupied digital data output (OUT), to which an interface extension module (IOE) having at least one supply voltage input (S) and having a plurality of digital interfaces is coupled in the claimed manner. In this way, the supply voltage input (S) of the interface extension module (IOE) is interconnected with the digital data output (OUT) of the network device (DCC), so that in event of an error, the interface extension module (IOE) and all the digital interfaces thereof can be switched off. In addition, by measuring the sum current flowing through the outputs of the interface extension module, the load diagnosis capacity of the network configuration can be extended to the interface extension device.

Abstract: Disclosed are an augmented reality method and device for simulating a wireless signal. The method includes: capturing an environment, and forming a three-dimensional virtual representation of the environment; determining a parameter related to a virtual wireless device, the virtual wireless device being a virtual wireless signal source or a reflector; positioning the virtual wireless device in the environment, and simulating virtual wireless signal coverage in the three-dimensional virtual representation of the environment according to the positioning, the parameter, and the three-dimensional virtual representation of the environment; and adding, to the environment, a marker representing the virtual wireless signal coverage to serve as an augmented reality image for display.

Abstract: Embodiments disclose a method and a device for processing frequency converter monitoring data and a storage medium. An embodiment of the method includes: acquiring a script file containing a monitoring parameter specifying field and a storage location; parsing the script file to acquire the storage location and the monitoring parameter specifying field and determining the monitoring parameter specified by the monitoring parameter specifying field; collecting the monitoring data corresponding to the monitoring parameter; and storing the monitoring data in the storage location. The embodiments provide a script file based processing solution for frequency converter monitoring data, without no special tracking or debugging software tool required. Thus, the implementation complexity is reduced and the service cost and time are saved.

Abstract: In order to visualize screen content on a data visualization system in the context of monitoring and controlling the functionality of at least one device, which is networked in an installation-related and operational manner to form a device network, in a technical installation, in which each visualization aspect from a set of visualization aspects which is available for the device can be linked to device-specific operating data of device operating data provided by the installation, which device-specific operating data are respectively tied to this visualization aspect.