Patents by Inventor Till Heinzerling

Till Heinzerling has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20230401880
    Abstract: A training data generator includes an interface to read symbols extracted from digital system plans for technical systems, wherein each of the system plans represents the design and/or the functionality of a technical system by of symbols, and the system plans are identical. The training data generator also includes a storage module which is designed to store the extracted symbols, a selection module which is designed to randomly select a symbol sub-quantity of the stored symbols using a random generator, a generator which is designed to generate at least one synthetic system plan on the basis of the selected symbol sub-quantity, and an output module to output the at least one synthetic system plan as training data in order to train a trainable image detection module, wherein the trainable image detection module is designed to generate a digital system plan using an analog system plan of a technical system.
    Type: Application
    Filed: October 19, 2021
    Publication date: December 14, 2023
    Inventors: Moritz Allmaras, Tim Schenk, Jan Christoph Wehrstedt, Harald Held, Steffen Limmer, Ulli Herzog, Sascha Heß, KLAUS WALTER WENDELBERGER, Till Heinzerling, Julian Knittel
  • Publication number: 20230221686
    Abstract: A method and a device for configuring a controller and to a method and a controller for controlling a technical system by means of a data-based control model is provided, in particular a model based on reinforcement learning. This data-based control model is configured using a model-predictive control model. Configuration parameters of the data-based control model are set by mapping the model-predictive control model onto the data-based control model in such a way that the data-based control model reproduces the output data of the model predictive control model depending on state data of the technical system read in, and determines optimized control parameters configured in this way. A computationally intensive training procedure for configuring the data-based control model can thus be avoided.
    Type: Application
    Filed: July 29, 2020
    Publication date: July 13, 2023
    Inventors: Andrés BOTERO HALBLAUB, Tim SCHENK, Till HEINZERLING, Harald HELD
  • Publication number: 20210397146
    Abstract: A method and a device for the computer-assisted simulation of a modular technical system, wherein for each real module of the modular technical system, a corresponding virtual module is generated, is provided. The virtual module includes a controller for controlling a module-specific process and at least one module-specific simulation model, to which model type information is assigned, for simulating the model-specific process. The virtual module is designed to simulate the module-specific process that is controlled by the controller by means of the module-specific simulation model and/or the controller of the real module, and is provided for a computer-assisted simulation of the modular technical system as a data container. In particular, the following allows a virtual start-up of modular process systems.
    Type: Application
    Filed: October 30, 2019
    Publication date: December 23, 2021
    Inventors: Andrés Botero Halblaub, Veronica Brandstetter, Markus Graube, Till Heinzerling, Stephan Hensel, Anselm Klose, Jonathan Maedler, Tim Schenk, Leon Urbas, Jan Christoph Wehrstedt