Abstract: A flow measurement system, a simulation program product, use of a vibration sensor for detecting a blockage and a diagnostic method for a flow measurement system attached to flow-traversable piping in which an orifice plate is disposed, wherein a fluid flows through the piping and the effective pressure is acquired in an effective pressure line, a vibration variable of a vibration is acquired via a vibration sensor mounted in the region of the orifice plate, blockage of the effective pressure line is detected if the magnitude of the acquired effective pressure is below an adjustable first threshold value and the magnitude of the acquired vibration variable is above an adjustable second threshold value, where a warning is output to a user and/or a data interface if a blockage of the effective pressure line is detected.

Abstract: Various embodiments include a computer-implemented method for augmenting a physical infrastructure with an information element.

Abstract: Device and method for ascertaining fouling in a heat exchanger in which heat is transferred from a first medium to a second medium through a wall, wherein a function is used with at least one parameter that describes the dependence of a first variable, which is influenced by the fouling, on the flow and/or temperature of the first medium and/or the second medium, in particular the simultaneous influence of changes in the flow and temperature on the first variable, wherein a value for the at least one parameter is ascertained using measurement values of the first and/or the second medium such that the precision when ascertaining fouling in a heat exchanger, in which heat is transferred from a first medium to a second medium, is increased.

Abstract: A method for determining anomaly causes during operation of a technical plant includes simulating error-free operation of the technical plant, simulating individual causes of an anomaly occurring during operation of the technical plant, comparing simulated error-free operating states for each cause of the anomaly with the simulated operating states when the cause of an anomaly occurs, deriving from the comparison a qualitative symptom that describes a qualitative deviation of the operating state from the error-free operating state; determining a qualitative symptom of the anomaly if the anomaly occurs during operation of the technical plant, comparing the symptom with each symptom previously derived during simulations of the operating states when a cause of an anomaly is present, identifying symptoms having a determined degree of similarity to the symptom; and storing causes of the anomaly associated with the identified symptoms in a data memory of the technical plant and/or displaying them.

Abstract: Method and system for predicting the operation of a technical installation in which a process-engineering process having a process step runs, wherein datasets are acquired and stored in a memory and, during a learning phase, a self-organizing map is learned, symptom threshold values and associated tolerances are ascertained and stored for each neuron per SOM and all permissible temporal profiles of victor neurons are ascertained and stored per process step or batch for all timestamps, where a time starting from which operation of the technical installation should be predicted is determined during an evaluation phase, a victor neuron profile for the overall process step or batch is ascertained using current datasets of a process step via learned victor neuron profiles, and values, stored in neurons of this victor neuron profile, of the process variables are displayed after the previously determined time as a predicted profile.

Abstract: A computer-implemented method for operating a modular technical system that includes a technical module and a module-spanning management system, where the method includes transmitting constraints and targets of an operation of the technical system from the management system to either the technical module or a corresponding computer-implemented representation of the technical module; determining, via the at least one technical module or the corresponding computer-implemented representation of the technical module, an optimal operating point of the at least one technical module based on the previously received constraints and targets; determining at least one performance indicator, relating to the optimal operating point, of the corresponding technical module and transmitting the at least one performance indicator from the technical module or the corresponding computer-implemented representation to the management system, and orchestrating the technical module via the management system by incorporating the at le

Abstract: A method for generating a map for augmented reality devices in an industrial facility that includes a plurality of subspaces, wherein each subspace from the plurality of subspaces includes a plurality of anchors, where the method includes obtaining position information of a first subspace from the plurality of subspaces, determining a coordinate system for the first subspace based on the obtained position information and a plurality of anchors of the first sub space, and includes calculating a relative position and an orientation of at least one neighboring subspace based on the determined coordinate system to generate the map based on the position information of the first subspace and the relative position of the at least one neighboring subspace, where the at least one neighboring subspace includes at least one anchor in an area overlapping the first subspace.

Abstract: Method and system for diagnosing messages generated during operation of a technical plant, wherein data sets and a predetermined self-organizing map are used to determine diagnostic statements on the operation of the plant, n-tuples corresponding to the data sets and containing predetermined values for process variables for error-free operation of the plant are stored at nodes of the self-organizing map, after a message has occurred minimum distances between data sets of the current time interval and data sets of the nodes of the self-organizing map are determined, and the corresponding node(s) is/are selected, symptoms are then determined by calculating differences between the data sets of the time intervals and the previously determined node(s), only differences of process variables exceeding a predefined threshold value being taken into account, and where process variables involved in previously determined symptoms are output such that a plant operator is supported in diagnosing a process message.

Abstract: A method and system for analyzing the cause of faults in a process engineering installation, wherein engineering information of the engineering installation, where the information contains information about the engineering installation components as well as their interconnection in the engineering installation, is provided in digital form in order to use the engineering information to create an inference model in the form of a probabilistic physical model of the engineering installation with probability distributions and prior variables, where measurement data from the engineering installation are used to perform Bayesian inference of fault probabilities during a diagnosis mode of the inference model.

Abstract: A device and method for increasing accuracy in the determination of fouling in a heat exchanger in which heat is transferred from a first medium to a second medium, wherein a value for a variable characterizing the fouling is determined from a value for a first variable influenced by the fouling and a value for a second variable, where the second variable compensates for a change in the first variable caused by a change in flow of the first and/or second mediums through the heat exchanger, where the first variable can be a thermal transmission resistance, a thermal transmittance or a thermal transmission coefficient, where the first and second variable are determined from values measured totemperaturesr and flows of the first and second mediums without using material properties of the first and second mediums and structural properties of the heat exchanger when determining the first and second variables.

Abstract: A diagnostic device for monitoring the operation of a technical plant with an automation system, wherein the diagnostic device includes a data memory in which at least one data set characterizing the operation of the plant with values of process variables can be stored, and an evaluation device, where the diagnostic device is characterized in that the evaluation device is configured to determine a diagnostic statement about the operation of the technical plant based on the data set and at least one self-organizing map and based on a program for controlling a sequence during the operation of the technical plant with repeatedly traversed step sequences via a Dynamic Time Warping method.

Abstract: A system and a method for determining the parameters of a controller for a controlled system, wherein a simulation model for the controlled system is identified based on detected input and output signals of the controlled system, where parameters of a master controller and a sequence controller used in a pilot control process for the controlled system are automatically defined based on model-based design methods for a controller designed as a model sequence controller, where the behaviour of the closed-loop system can be further improved via a subsequent optimization method, such that the controller can be advantageously designed without any particular control engineering expertise, and thus the frequency of use for model sequence controllers, with their many advantages, can be significantly increased in practical applications.

Abstract: A diagnosis method, a diagnosis system, a process-engineering plant and a training method for the diagnosis system, wherein course over time of plant data, which at least partially characterizes the plant status, is provided and a plant status is classified with the aid of a plurality of models based on the course over time of the plant data, where each model of the plurality of models differs with respect to a time window from which the plant data are based, a confidence is allocated to each classification that result from the at least two models, and where diagnosis information based on the classifications of the plant status and the confidences allocated thereto is output.

Abstract: A diagnostic device and diagnostic method for monitoring operation of a technical system with an automation system, wherein values of process variables, which were previously automatically determined as relevant to a diagnosis by analyzing a program for a sequential function chart, are determined when each step of the cycle to be checked is executed and evaluated based on at least one predetermined self-organizing map acquired based on fault-free cycles during a system operation with repeatedly run step sequences such that automatic preselection of the process variables is which are relevant to the diagnosis is performed such that misdiagnoses can advantageously and largely be avoided and the reliability of the diagnostic statement can be increased.

Abstract: A method for automatically determining a parameterization of an evaluation method via a computer includes generating a comparison data set and storing reference data in the generated comparison data set, stipulating a parameterization with which identification of particular partial data items of reference data items stored in the comparison data set is influenceable via the evaluation method, such that a relative number of partial data items identified during the evaluation in relation to all the reference data items stored in the generated comparison data set is quantitatively smaller than a predetermined threshold value, preferably smaller than 10%, preferably smaller than 5%, particularly preferably smaller than 1%, and providing the determined parameterization for performing the evaluation method to identify particular partial data items of the data set of the industrial plant.

Abstract: A method for assigning measurement data for cloud-based monitoring of mechanical assets of an industrial facility that includes a measurement data archive, in which measurement data from a multiplicity of measurement points are stored, includes establishing an asset that has a particular type, the asset being assigned a characteristic measurement value with an associated measurement point in the cloud; reading a connection, stored in the cloud for the particular asset type, between measurement values, relevant to the particular asset type, from various measurement points; gradually estimating parameters of the connection, using the characteristic measurement value belonging to the particular asset type and the measurement data of the measurement values relevant to the particular asset; gradually comparing the previously determined connection with the measurement data used for the estimation and determining a residual; and assigning the measurement data to a particular asset based on a statistical evaluation o

Abstract: A control device for a process that influences the process via a manipulated variable in accordance with a control deviation between a setpoint and a controlled variable influenced by a disturbance variable, includes a controller that produces the manipulated variable from the control deviation fed to the controller, a controller dead zone element arranged before the controller and which can be activatable/deactivatable via a control apparatus, where the controller dead zone element is deactivated when the control deviation exceeds a first threshold value and reactivated when the control deviation falls below a second threshold value that is less than the first threshold value, and includes an adding element that contains a low-pass filter and preferably a disturbance-variable dead zone element arranged after the low-pass filter and which produces an auxiliary manipulated variable from the disturbance variable and adds the auxiliary manipulated variable onto the manipulated variable.

Abstract: A system and a method for determining the parameters of a controller for a controlled system, wherein a simulation model for the controlled system is identified based on detected input and output signals of the controlled system, where parameters of a master controller and a sequence controller used in a pilot control process for the controlled system are automatically defined based on model-based design methods for a controller designed as a model sequence controller, where the behaviour of the closed-loop system can be further improved via a subsequent optimization method, such that the controller can be advantageously designed without any particular control engineering expertise, and thus the frequency of use for model sequence controllers, with their many advantages, can be significantly increased in practical applications.

Abstract: A diagnostic device for monitoring the operation of a technical plant with an automation system, wherein the diagnostic device includes a data memory in which at least one data set characterizing the operation of the plant with values of process variables can be stored, and an evaluation device, where the diagnostic device is characterized in that the evaluation device is configured to determine a diagnostic statement about the operation of the technical plant based on the data set and at least one self-organizing map and based on a program for controlling a sequence during the operation of the technical plant with repeatedly traversed step sequences via a Dynamic Time Warping method.

Abstract: A diagnosis facility and diagnostic method for monitoring the performance of a technical plant with an automation system. In the performance of a plant with step sequences that run repeatedly, deviations of the time response in a cycle of the step sequence that is to be checked from the time response for fault-free cycles are detected and displayed by evaluation of the data set, using the self-organizing map. To this end, the durations of the execution of each step in the step sequence that is to be checked are determined and evaluated using a predetermined self-organizing map that has been learned using fault-free cycles. This type of evaluation has the advantage that the self-organizing map can be learned automatically and consequently hardly any knowledge of the respective process that is running on the plant is required for the diagnosis.