Siemens Aktiengesellschaft

Daniel Labisch

Thomas Bierweiler

Bernd-Markus Pfeiffer

Jean Pascal John

Andreas Hutter

Stefan Von Dosky

Asa MacWilliams

Andoni Gonzalo

Felix Pohmer

Gert De Nul

Joseph Newman

Jonas Kaub

Asa Macwilliams

Erion Syla

Nils Zufall

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.

Method and system for diagnosing messages

Various embodiments include a computer-implemented method for augmenting a physical infrastructure with an information element. The method may include: acquiring data of a spatial environment infrastructure, dimensioned by a coordinate system; defining a second spatial environment as a subspace of the first and dimensioned by its own coordinate system with a first marker item and a second marker item; creating a SLAM map of the second environment with two SLAM marker items; recognizing the SLAM identifiers; aligning the coordinate system of the SLAM map to the coordinate system of the second environment; recognizing a first and a second marker identifier; determining an absolute position and orientation of the second spatial environment relative to the first environment; defining the information element in relation to a component of the infrastructure; determining coordinates of the element in the second environment; and augmenting the physical infrastructure with the information element at the spatial coordinates.

Aligning and augmenting a partial subspace of a physical infrastructure with at least one information element

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.

Diagnostic device and method for monitoring a technical plan

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.

System and method for determining the parameters of a controller

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.

Diagnostic device and method for monitoring operation of a technical system

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.

Automated determination of a parameterization of an evaluation method

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.

Control device and method

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.

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Karlsruhe, Germany

Daniel Labisch