Patents Assigned to Siemens Corporation
  • Patent number: 10719895
    Abstract: A computer-implemented method of splitting whole building energy consumption includes collecting sensor data from a plurality Variable Air Volume (VAV) boxes in a building, an electric meter in the building, and a gas meter in the building. The total heating energy consumption is split across a plurality of zones within the building using the sensor data, thereby yielding heating energy consumption for each zone. The total cooling energy consumption is split across the plurality of zones using the sensor data, thereby yielding cooling energy consumption for each zone and the total ventilation energy consumption is split across the plurality of zones using the sensor data, thereby yielding ventilation energy consumption for each zone. Zone energy consumption by aggregating the heating energy consumption for the zone, the cooling energy consumption for the zone, and the ventilation energy consumption for the zone.
    Type: Grant
    Filed: July 5, 2019
    Date of Patent: July 21, 2020
    Assignee: SIEMENS CORPORATION
    Inventors: Zhen Song, Sanjeev Srivastava, Xianjun S. Zheng
  • Patent number: 10672115
    Abstract: Systems and methods are disclosed for processing an image to detect anomalous pixels. An image classification is received from a trained convolutional neural network (CNN) for an input image with a positive classification being defined to represent detection of an anomaly in the image and a negative classification being defined to represent absence of an anomaly. A backward propagation analysis of the input image for each layer of the CNN generates an attention mapping that includes a positive attention map and a negative attention map. A positive mask is generated based on intensity thresholds of the positive attention map and a negative mask is generated based on intensity thresholds of the negative attention map. An image of segmented anomalous pixels is generated based on an aggregation of the positive mask and the negative mask.
    Type: Grant
    Filed: December 6, 2017
    Date of Patent: June 2, 2020
    Assignee: Siemens Corporation
    Inventors: Rameswar Panda, Ziyan Wu, Arun Innanje, Ramesh Nair, Ti-chiun Chang, Jan Ernst
  • Publication number: 20200051258
    Abstract: A method for performing 2D/3D registration includes acquiring a 3D image. A pre-contrast 2D image is acquired. A sequence of post-contrast 2D images is acquired. A 2D image is acquired from a second view. The first view pre-contrast 2D image is subtracted from each of the first view post-contrast 2D images to produce a set of subtraction images. An MO image is generated from the subtraction images. A 2D/3D registration result is generated by optimizing a measure of similarity between a first synthetic 2D image and the MO image and a measure of similarity between a second synthetic image and the intra-operative 2D image from the second view by iteratively adjusting an approximation of the pose of the patient in the synthetic images and iterating the synthetic images using the adjusted approximation of the pose.
    Type: Application
    Filed: February 17, 2012
    Publication date: February 13, 2020
    Applicant: Siemens Corporation
    Inventors: Shun Miao, Rui Liao, Marcus Pfister
  • Patent number: 10438305
    Abstract: A computer-implemented method of splitting whole building energy consumption includes collecting sensor data from a plurality Variable Air Volume (VAV) boxes in a building, an electric meter in the building, and a gas meter in the building. The total heating energy consumption is split across a plurality of zones within the building using the sensor data, thereby yielding heating energy consumption for each zone. The total cooling energy consumption is split across the plurality of zones using the sensor data, thereby yielding cooling energy consumption for each zone and the total ventilation energy consumption is split across the plurality of zones using the sensor data, thereby yielding ventilation energy consumption for each zone. Zone energy consumption by aggregating the heating energy consumption for the zone, the cooling energy consumption for the zone, and the ventilation energy consumption for the zone.
    Type: Grant
    Filed: March 24, 2017
    Date of Patent: October 8, 2019
    Assignee: SIEMENS CORPORATION
    Inventors: Zhen Song, Xianjun S. Zheng, Sanjeev Srivastava
  • Publication number: 20190197199
    Abstract: A method and system for patient-specific planning of cardiac therapy, such as cardiac resynchronization therapy (CRT), based on preoperative clinical data and medical images, such as ECG data, magnetic resonance imaging (MRI) data, and ultrasound data, is disclosed. A patient-specific anatomical model of the left and right ventricles is generated from medical image data of a patient. A patient-specific computational heart model, which comprises cardiac electrophysiology, biomechanics and hemodynamics, is generated based on the patient-specific anatomical model of the left and right ventricles and clinical data. Simulations of cardiac therapies, such as CRT at one or more anatomical locations are performed using the patient-specific computational heart model. Changes in clinical cardiac parameters are then computed from the patient-specific model, constituting predictors of therapy outcome useful for therapy planning and optimization.
    Type: Application
    Filed: January 30, 2013
    Publication date: June 27, 2019
    Applicants: Siemens Aktiengesellschaft, Siemens Corporation
    Inventors: Tommaso Mansi, Bogdan Georgescu, Xudong Zheng, Ali Kamen, Dorin Comaniciu
  • Patent number: 10331510
    Abstract: In order to reduce computation time and cost involved with detecting and diagnosing a fault in a system, simplified representations of components of the system are used to estimate valid intervals for state variables at the components. Generic failure rules are configured to compare the estimated valid intervals to related intervals for the same state variables, from either observations or propagations, for overlap. Failure output vectors are generated based on the comparison, and the failure output vectors are compared to diagnostic matrices to determine a source of the fault.
    Type: Grant
    Filed: May 23, 2012
    Date of Patent: June 25, 2019
    Assignee: SIEMENS CORPORATION
    Inventors: Gerhard Zimmermann, Yan Lu, George Lo
  • Patent number: 10255406
    Abstract: A computer-implemented method for designing a gas turbine exhaust diffuser includes a computer identifying an initial diffuser design and performing a design refinement process. The design refinement process includes generating a new diffuser design by modifying the initial diffuser design according to one or more objective functions and one or more design constraints. A fluid velocity pattern associated with the new diffuser design is determined and used to compute particle tracing lines through an internal portion of the new diffuser design. The particle tracing lines are grouped into particle line bundles extending longitudinally within the new diffuser design and an average path is computed for each particle line bundle. Then, for each respective average path, a rigid tube capable of channeling gases through the internal portion of the new diffuser design is generated and added to the new diffuser design.
    Type: Grant
    Filed: February 19, 2016
    Date of Patent: April 9, 2019
    Assignee: SIEMENS CORPORATION
    Inventors: Lucia Mirabella, Suraj Musuvathy, Bharat Sanjay Prabhu
  • Patent number: 10198431
    Abstract: For generating a word space, manual thresholding of word scores is used. Rather than requiring the user to select the threshold arbitrarily or review each word, the user is iteratively requested to indicate the relevance of a given word. Words with greater or lesser scores are labeled in the same way depending upon the response. For determining the relationship between named entities, Latent Dirichlet Allocation (LDA) is performed on text associated with the name entities rather than on an entire document. LDA for relationship mining may include context information and/or supervised learning.
    Type: Grant
    Filed: August 22, 2011
    Date of Patent: February 5, 2019
    Assignee: SIEMENS CORPORATION
    Inventors: Swapna Somasundaran, Dingcheng Li, Amit Chakraborty
  • Patent number: 10146611
    Abstract: A method for controlling a system including a plurality of subsystems, includes receiving operational data from the plurality of subsystems of the system (S21). A future condition of each of the plurality of subsystems is estimated from the received operational data (S22). A control strategy for delaying a need for system maintenance is generated based on the estimated future condition of each of the plurality of subsystems (S23). An operation of the system is controlled based on the generated control strategy (S24).
    Type: Grant
    Filed: November 13, 2013
    Date of Patent: December 4, 2018
    Assignee: Siemens Corporation
    Inventors: Linxia Liao, Kun Ji
  • Patent number: 10095207
    Abstract: A method of controlling energy consumption in a building includes receiving occupancy data including at least one of occupant request data and occupant schedule data, receiving weather data including at least one of current weather measurement data and weather forecast data, generating an output control signal based on the occupancy data and the weather data, and transmitting the output control signal to a building automation system (BAS) of the building. The occupant request data includes a current request, and the occupant schedule data includes a predicted occupant schedule. The output control signal adjusts a building control device in a zone in the building.
    Type: Grant
    Filed: February 11, 2013
    Date of Patent: October 9, 2018
    Assignee: SIEMENS CORPORATION
    Inventors: Kun Ji, Yan Lu, Zhen Song
  • Patent number: 10077915
    Abstract: A computer-implemented method of optimizing demand-response (DR) of a heating, ventilation, and air-conditioning (HVAC) system of a building, includes determining (30, 31, 32) a value of an objective function Fij of a HVAC system for each of a plurality of DR strategies j for each of a plurality of weather patterns i that is a weighted sum of an energy cost of the HVAC system and a thermal comfort loss of the HVAC system, assigning (33, 34, 35, 36) a likelihood score Li,j to each of a selected subset of near-optimal DR strategies j for each weather pattern i, and selecting (37, 38) those near-optimal DR strategies with large overall likelihood scores Lj to create an optimal strategy pool of DR strategies. An optimal strategy pool can be searched (39) in real-time for an optimal DR strategy for a given weather pattern.
    Type: Grant
    Filed: October 10, 2013
    Date of Patent: September 18, 2018
    Assignee: Siemens Corporation
    Inventors: Yan Lu, Ling Shen, Jianmin Zhu
  • Patent number: 10068298
    Abstract: Embodiments include methods and systems for forecasting electrical demand of a building. Aspects include receiving a weather forecast for an upcoming day and receiving a historical data file comprising historical weather data and historical electrical load data for the building for a plurality of previous days. Aspects also include comparing the historical weather data for each of the plurality of previous days to the forecast and calculating a baseline electrical consumption of the building for the upcoming day based on the comparison.
    Type: Grant
    Filed: October 14, 2015
    Date of Patent: September 4, 2018
    Assignee: Siemens Corporation
    Inventor: Sanjeev Srivastava
  • Patent number: 10044749
    Abstract: A system and method is provided that facilitates cyber-physical security. The system may comprise a controller including at least one first processor; a monitor system including at least one second processor; and a plurality of sensors configured to capture a plurality of measurements associated with at least one hardware component. The sensors may include both: at least one controller sensor that communicates with the controller; and at least one side-channel sensor that communicates with the monitor system and not with the at least one controller. The first processor of the controller may be configured to cause the controller to control the hardware component based at least in part on measurements from the controller sensor.
    Type: Grant
    Filed: July 29, 2016
    Date of Patent: August 7, 2018
    Assignee: SIEMENS CORPORATION
    Inventors: Arquimedes Martinez Canedo, Livio Dalloro, Dong Wei, Benjamin Collar
  • Patent number: 10019833
    Abstract: Methods and systems for luggage visualization perform virtual unpacking by visually moving an object image away from its original pose. A scanned 3D volume is segmented guided by a confidence measure to create a label volume whose voxels specify the detected object IDs. The luggage dataset and the label volume are visualized by volume rendering. Using an automatic coloring algorithm, any pair of objects whose projections are adjacent in an image are assigned distinct hues. A layered framework efficiently renders a scene mixed with packed luggage, animated unpacking objects, and already unpacked objects put aside for further inspection. A GPU is used to automatically select objects that are not blocked by others and can be unpacked.
    Type: Grant
    Filed: March 7, 2013
    Date of Patent: July 10, 2018
    Assignee: SIEMENS CORPORATION
    Inventors: Wei Li, Gianluca Paladini
  • Publication number: 20180181112
    Abstract: A method of generating events based on automation system data in an intelligent programmable logic controller includes the intelligent programmable logic controller collecting automation system data and applying a context model to the automation system data to create contextualized data. The intelligent programmable logic controller generates one or more events based on the contextualized data.
    Type: Application
    Filed: July 9, 2015
    Publication date: June 28, 2018
    Applicant: Siemens Aktiengesellschaft Siemens Corporation
    Inventors: Lingyun Wang, Steffen Lamparter, Juan L. Aparicio Ojea
  • Patent number: 9996405
    Abstract: A prognostics analysis software module is embedded in a programmable logic controller (PLC) software platform. During cycling of the PLC real-time operating program, data is read from sensors and written to a buffer only when the prognostics analysis software module is idle. The prognostics analysis software module is then activated by a system function block of the PLC software platform. Before determining any prognostic information, prediction models within the prognostics analysis software module are automatically trained using features extracted from the sensor data.
    Type: Grant
    Filed: April 12, 2013
    Date of Patent: June 12, 2018
    Assignee: Siemens Corporation
    Inventors: Linxia Liao, Ertan Eligul, Zachery Edmondson
  • Patent number: 9959369
    Abstract: Modeling is provided in three-dimensional simulation. Proxies are used as virtual rigid bodies to create (22) reusable part files. A custom physics object is defined (22) in the part file using the proxy to allow for control of object behavior, such as control of the rate of spinning of a spindle of a motor. By overriding (28) the part file with the proxy, links to up or owner part files may be made. Changes to physics properties in the different instances of proxies may be made without requiring or resulting in the same change to the other instances. The proxy acts as a virtual rigid body that may or may not move during simulation. The proxy body may be replaced with a rigid body from the assembly when both reference the same geometry object.
    Type: Grant
    Filed: November 21, 2011
    Date of Patent: May 1, 2018
    Assignee: Siemens Corporation
    Inventor: Richard Gary McDaniel
  • Patent number: 9933796
    Abstract: A building has climate control equipment which controls a temperature at different locations. Different locations may be in different control zones controlled by different control devices. An occupant of a location submits a desired location temperature through a user interface on a computing device to a networked server. Setting of a desired temperature is constrained by energy saving policies and by conditions of surrounding locations. An arbitrator device determines based on constraints a new temperature setting. The new temperature setting is accompanied by an energy saving feedback. The occupants confirms the new setting. A climate control device is instructed to apply a device setting to achieve the new temperature. A climate profile of the occupant is learned from previous temperature settings by the occupant.
    Type: Grant
    Filed: September 12, 2013
    Date of Patent: April 3, 2018
    Assignee: Siemens Corporation
    Inventors: Zhen Song, Lingyun Wang, Yan Lu
  • Patent number: 9915178
    Abstract: A method of real-time optimization for a Combined Cooling, Heating and Power system, including determining a first operation sequence of a plurality of chillers and at least one thermal energy storage tank in the system over a time period (410) and determining a second operation sequence of the plurality of chillers and at least one thermal energy storage tank in the system over the time period by using the first operation sequence as input to a greedy algorithm (420).
    Type: Grant
    Filed: March 7, 2013
    Date of Patent: March 13, 2018
    Assignee: Siemens Corporation
    Inventors: Yu Sun, Amit Chakraborty
  • Patent number: 9892472
    Abstract: A method including: computing a total cost for a first zone in a building, wherein the total cost is equal to an actual energy cost of the first zone plus a thermal discomfort cost of the first zone; and heuristically optimizing the total cost to identify temperature setpoints for a mechanical heating/cooling system and a start time and an end time of the mechanical heating/cooling system, based on external weather data and occupancy data of the first zone.
    Type: Grant
    Filed: February 11, 2013
    Date of Patent: February 13, 2018
    Assignee: Siemens Corporation
    Inventors: Kun Ji, Yan Lu