Siemens Aktiengesellschaft patent applications on April 3rd, 2025
Patent Applications by Siemens Aktiengesellschaft on April 3rd, 2025
Siemens Aktiengesellschaft: 17 patent applications
Siemens Aktiengesellschaft has applied for patents in the areas of G05B19/05 (3), G06Q10/0631 (2), G06F113/08 (1), G06F8/65 (1), G06N3/08 (1) B25J9/1605 (1), G06F21/52 (1), H01L23/49844 (1), H01L23/4006 (1), G16C20/10 (1)
With keywords such as: program, time, information, component, runtime, machining, based, learning, tool, and current in patent application abstracts.
Patent Applications by Siemens Aktiengesellschaft
Inventor(s): Richard Gary McDaniel of Hightstown NJ US for siemens aktiengesellschaft, Werner Neubauer of München DE for siemens aktiengesellschaft, Philipp Sebastian Schmitt of München DE for siemens aktiengesellschaft
IPC Code(s): B25J9/16, G06F30/15
CPC Code(s): B25J9/1605
Abstract: a system can define planning hints that indicate where a robot can be moved or positioned. collision-free paths for the robot can be generated using the planning hints.
Inventor(s): Jean-Mary Martel of Tegernheim DE for siemens aktiengesellschaft
IPC Code(s): B60L53/62, B60L53/16, B60L53/22, H02J7/00
CPC Code(s): B60L53/62
Abstract: a charging apparatus for electric vehicles includes a charging plug, power converter, current sensor between the power converter and the charging plug, switch and control unit. the power converter is connected to the charging plug and a supply connection, receives electrical energy from the supply connection and outputs it to the charging plug as required by the electric vehicle. the current sensor measures current flowing between the power converter and the charging plug and outputs it as a current measurement value. the switch switches off current flowing from the power converter to the charging plug. the control unit is connected to the current sensor and the switch and detects an electric arc event based on current measurement values and, upon detecting the event, controls the switch to switch off current flowing from the power converter to the charging plug. a method for charging an electric vehicle is also provided.
Inventor(s): Steven WALTHER of Saalfeld DE for siemens aktiengesellschaft
IPC Code(s): B66F7/06
CPC Code(s): B66F7/065
Abstract: a load-compensating device for a lifting application with an object to be lifted or lowered includes a movable platform, wherein the platform carries the object and, for purposes of load compensation, the platform is supported by at least one spring element that acts on a spreading unit which, in order to achieve spreading, transfers a spring force of the spring element into a scissors arrangement, where, by virtue of the scissors arrangement, the spring force results in a lifting force that produces a lifting action on the platform, and where a substantially constant lifting force is provided over a substantial lifting distance of the platform by the lifting geometry formed via the spreading unit and the scissors arrangement.
Inventor(s): Felix KRETSCHMER of Burgthann DE for siemens aktiengesellschaft
IPC Code(s): G05B19/042, G05B19/05
CPC Code(s): G05B19/0426
Abstract: a method and assembly for configuring and/or programming an industrial automation component, wherein respective properties at runtime are detected and stored in a database for a plurality of possible combinations of the hardware, the operating system and/or the application program, and wherein a model is generated from the database data and/or optimized using a reinforcement learning process, where a reinforcement learning reward function used during the learning or optimization process seeks to provide an accurate prediction of the properties, the properties at runtime are then predicted for intended or possible combinations using the model compared with a specified requirement, and a suitable combination is subsequently ascertained using the comparison, and the industrial automation component is configured or programmed according to the selected combination, such that the real-time behavior is very precisely predicted such that the industrial automation component can be optimally configured or programmed.
Inventor(s): Ronny HOG of Kuemmersbruck DE for siemens aktiengesellschaft, Julia SCHWEIGER of Hirschau DE for siemens aktiengesellschaft, Sebastian SCHÖTZ of Hahnbach DE for siemens aktiengesellschaft, Markus WALTER of Bamberg DE for siemens aktiengesellschaft
IPC Code(s): G05B19/05, G06F7/58
CPC Code(s): G05B19/05
Abstract: method for operating a segment of cycle-oriented control software, wherein to test, in a virtual control system, execution of a cold start mechanism, on a start-up of a runtime environment, a random number is generated, stored in a storage region and added to the storage region upon every further request for a safety time, where at the start of a new cycle, the deviation of the time differences is calculated and, in each cycle, the storage region is accessed and before calculation of the time differences, the random number is re-subtracted from the safety time, when a new start-up of the runtime environment has occurred, this is diagnosable via the tolerance being exceeded, because the second time difference now has an offset that results from the safety time with a new random number of the current cycle and the safety time with the old random number of the previous cycle.
Inventor(s): Martin WITTE of Schwabach DE for siemens aktiengesellschaft
IPC Code(s): G05B19/05
CPC Code(s): G05B19/056
Abstract: a method and a programming device for using a system with artificial intelligence with a text-based language model, in particular a generative pretrained chatbot, for processing at least one graphical program construct with a plurality of program expressions in a graphical industrial programming language, in particular a coupling plan, wherein the graphical program expressions are converted into a sequence of boolean program expressions in text form to input the graphical program construct into the system, where non-boolean, in particular text-based, program expressions of the graphical program construct are each integrated between the adjacent boolean program expressions such that language models can be used to learn and use structures of ladder diagram programs, in particular as tools for analyzing program constructs and for ai-based assistance in the creation and development of industrial software in automation technology.
Inventor(s): Benjamin Samuel LUTZ of Großenseebach DE for siemens aktiengesellschaft
IPC Code(s): G05B19/4065, G05B19/4097, G06T7/00, G06T7/10
CPC Code(s): G05B19/4065
Abstract: systems methods for computer-aided machining includes a) providing a material batch with an undetermined machinability to a machining tool, b) specifying a set of machining conditions having a machining speed, c) inserting a tool that has a predetermined type and a predetermined wear into the machining tool, d) machining the material batch with the machining tool, monitoring wear of the inserted tool during the machining, and determining a first tool life of the tool, e) repeating steps b, c and d to determine a second tool life, while setting a different machining speed in step b and inserting a tool of the same type in step c, f) determining coefficients of a model associated with the material batch, based on the machining speed, the different machining speed, the first and the second tool life, and g) determining machinability of the material batch based on the model.
Inventor(s): Hang Xiao of Qingdao CN for siemens aktiengesellschaft, Jian Lin of Chengdu CN for siemens aktiengesellschaft, Bo Wen Wang of Jining CN for siemens aktiengesellschaft
IPC Code(s): G06F8/20, G06F8/34, G06F8/36, G06F8/41
CPC Code(s): G06F8/20
Abstract: embodiments of this application mainly relate to the field of data processing technologies, and in particular, to microservice orchestration methods and apparatus, electronic devices, and readable media. a first node is established in a first runtime for each of a plurality of microservices. the first node is configured to control execution of the microservice. construction performed by a user on a behavior tree is received. the behavior tree includes a leaf node, and the leaf node represents the microservice. the behavior tree is parsed, where the leaf node is mapped to the first node. an instance of the behavior tree is generated.
Inventor(s): Christian Knierim of München DE for siemens aktiengesellschaft, Christian Peter Feist of München DE for siemens aktiengesellschaft
IPC Code(s): G06F21/52, G06F8/65
CPC Code(s): G06F21/52
Abstract: a method for updating a software component is provided, having the steps of: retrieving deployment information for the software component, wherein the deployment information includes information on program parts of the software component and the runtime configuration thereof; checking whether at least one program part has a flaw and identifying the program part; determining a runtime limitation for the program part which has been identified as having a flaw; adding runtime limitation information to the deployment information for the software component; and carrying out the deployment of the software component on the basis of the deployment information, wherein upon being ran, the software component is subject to the runtime limitation according to the runtime limitation information. analyzing and temporarily adapting runtime configuration information of a deployment configuration for correcting flaws in software components to be updated simplifies the handling of zero-day exploit vulnerabilities.
Inventor(s): Joachim Fröhlich of Kirchseeon DE for siemens aktiengesellschaft, Tudor Ionescu of Wien AT for siemens aktiengesellschaft
IPC Code(s): G06N3/08
CPC Code(s): G06N3/08
Abstract: a computer-implemented method for correcting at least one model output of a first trained machine learning model is provided, including providing the at least one model output of the first trained machine learning model; verifying the at least one model output using at least one acceptance test resulting in at least one test verdict regarding a fail or a pass of the at least one model output; determining at least one correction parameter using a second trained machine learning model based on the at least one test verdict and the at least one model output, if the first trained machine learning model fails the at least one acceptance test; d. adjusting the at least one model output of the first trained machine learning model by applying the at least one correction parameter; and providing the at least one adjusted output as at least one corrected model output.
Inventor(s): Abhay Kumar of Bangalore IN for siemens aktiengesellschaft, Deepak Nagar of New Delhi IN for siemens aktiengesellschaft, Vinay Ramanath of Bengaluru IN for siemens aktiengesellschaft, Sebastian Schreck of Nürnberg DE for siemens aktiengesellschaft, Sebastian Thiem of Neustadt an der Aisch DE for siemens aktiengesellschaft
IPC Code(s): G06Q10/0631, G06Q10/047
CPC Code(s): G06Q10/06311
Abstract: a system, method and computer program product for route planning of electric vehicles (evs) is provided. the method includes receiving a plurality of parameters associated with an ev fleet. the method includes determining a dttr for each route of a plurality of routes based on the route information associated with each ev of the ev fleet. further, the method includes determining a set of evs from the ev fleet based on a validity of each ev of the ev fleet and mapping the set of evs to a set of the routes of the plurality of routes based on the dttr for each route of the plurality of routes. the method also includes scheduling the set of evs to the set of the routes based on the mapping.
Inventor(s): Abhay Kumar of Bangalore, Karnataka IN for siemens aktiengesellschaft, Deepak Nagar of New Delhi IN for siemens aktiengesellschaft, Vinay Ramanath of Bengaluru, Karnataka IN for siemens aktiengesellschaft, Chitira Vazhappully of Bangalore, Karnataka IN for siemens aktiengesellschaft
IPC Code(s): G06Q10/0631
CPC Code(s): G06Q10/06315
Abstract: a system and method for managing dispatch of vehicle fleet is provided. the method includes receiving information associated with a plurality of blocks to be served by a fleet of vehicles and determining that information of at least one critical block period is unavailable based on the information associated with the plurality of blocks. further, the method includes determining the at least one critical block period based on at least one block requiring a number of non-evs greater than an available number of non-evs in the fleet of vehicles; scheduling the fleet of vehicles for serving the plurality of blocks by reducing a proportion of a number of non-evs to serve the at least one critical block period; and dispatching the fleet of vehicles for serving the plurality of blocks including the at least one critical block period.
Inventor(s): Meghesh Mukundan of BANGALORE IN for siemens aktiengesellschaft
IPC Code(s): G16C20/10, G06F30/28, G06F113/08, G16C20/70
CPC Code(s): G16C20/10
Abstract: systems and methods for transient predictions in reacting flow simulations. in one embodiment, the method includes generating an initial simulation of the reactive flows, by using a simulation technique, for a first time duration. the method includes predicting, by a machine learning model, a behavior of the reactive flows during a second time duration based on the initial simulation. the second time duration is consecutive to the first time duration. the method includes generating a subsequent simulation for the reactive flows for a subsequent time duration. the method includes providing data corresponding to the predicted behavior and the subsequent simulation as an input to the machine learning model to predict the behavior of the reactive flows for the subsequent time periods. in addition, the method includes repeating generating the subsequent simulation and predicting behavior of the reactive flows for one or more successive time durations, until the reaction of the reactive flows is completed.
Inventor(s): VLADIMIR DANOV of Erlangen DE for siemens aktiengesellschaft, PHILIPP KNEISSL of Nürnberg DE for siemens aktiengesellschaft, VOLKER MÜLLER of Nürnberg DE for siemens aktiengesellschaft, STEPHAN NEUGEBAUER of Erlangen DE for siemens aktiengesellschaft, FLORIAN SCHWARZ of Fürth DE for siemens aktiengesellschaft
IPC Code(s): H01L23/40, H01L21/48, H01L23/427
CPC Code(s): H01L23/4006
Abstract: a semiconductor assembly includes a semiconductor element designed as a power semiconductor module and comprising a contact, and a connection element designed as a busbar which is connected to the contact of the power semiconductor module via a force-fit connection, in particular a screw connection. the busbar includes a cover plate and a closed cooling channel structure with a cooling channel which is produced at least partially by an fsc (friction stir channeling) method and arranged to run through the cover plate.
Inventor(s): MARKUS LASCH of München DE for siemens aktiengesellschaft, ROLAND LORZ of Röttenbach DE for siemens aktiengesellschaft, MARKUS PFEIFER of Nürnberg DE for siemens aktiengesellschaft, STEFAN STEGMEIER of München DE for siemens aktiengesellschaft, ERIK WEISBROD of München DE for siemens aktiengesellschaft, RONNY WERNER of Nürnberg DE for siemens aktiengesellschaft, FELIX ZEYSS of Erlangen DE for siemens aktiengesellschaft
IPC Code(s): H01L23/498, H05K1/05
CPC Code(s): H01L23/49844
Abstract: an arrangement for a semiconductor arrangement includes a substrate including a dielectric material layer and a first metallization arranged on the dielectric material layer. a passive component is arranged completely in a cutout of the first metallization and bears directly on the dielectric material layer. the passive component is designed to include a first profile. the the first metallization includes a second profile in a region of contacting with the passive component, with the first and second profiles engaging with one another.
Inventor(s): Martin Rauch of Mering DE for siemens aktiengesellschaft
IPC Code(s): H04L9/32
CPC Code(s): H04L9/3268
Abstract: a system is provided for requesting certificates for a user in a documented manner, comprising at least one registration point, a logging device, and a certification point which are configured to carry out the following steps: receiving in the registration point a certificate request for issuing a certificate to a user, transmitting a logging message which contains information on the certificate request from the registration point to a logging device, receiving a confirmation identifier if the information in the logging device has been successfully stored, forwarding to the certification point an expanded certificate request message which is complemented by the confirmation identifier, checking the confirmation identifier, and processing the expanded certificate request and outputting a certificate response by the certification point only if the check is successfully carried out.
Siemens Aktiengesellschaft patent applications on April 3rd, 2025
- Siemens Aktiengesellschaft
- B25J9/16
- G06F30/15
- CPC B25J9/1605
- Siemens aktiengesellschaft
- B60L53/62
- B60L53/16
- B60L53/22
- H02J7/00
- CPC B60L53/62
- B66F7/06
- CPC B66F7/065
- G05B19/042
- G05B19/05
- CPC G05B19/0426
- G06F7/58
- CPC G05B19/05
- CPC G05B19/056
- G05B19/4065
- G05B19/4097
- G06T7/00
- G06T7/10
- CPC G05B19/4065
- G06F8/20
- G06F8/34
- G06F8/36
- G06F8/41
- CPC G06F8/20
- G06F21/52
- G06F8/65
- CPC G06F21/52
- G06N3/08
- CPC G06N3/08
- G06Q10/0631
- G06Q10/047
- CPC G06Q10/06311
- CPC G06Q10/06315
- G16C20/10
- G06F30/28
- G06F113/08
- G16C20/70
- CPC G16C20/10
- H01L23/40
- H01L21/48
- H01L23/427
- CPC H01L23/4006
- H01L23/498
- H05K1/05
- CPC H01L23/49844
- H04L9/32
- CPC H04L9/3268
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