Patents by Inventor Anika Schumann

Anika Schumann 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).

  • Patent number: 11734583
    Abstract: A system, method and a computer program product may be provided for automatically creating and parameterizing a semantically-enriched diagnosis model for an entity. The system receives a list of data points, from sensors or a database, to be used to create a diagnosis model. The system automatically creates the diagnosis model based on the received list of data points and data stored in a database and parameterizes the diagnosis model. The parameterized diagnosis model reflects rules that determine one or more potential causes of one or more abnormalities of one or more physical conditions in the entity.
    Type: Grant
    Filed: November 19, 2019
    Date of Patent: August 22, 2023
    Assignee: International Business Machines Corporation
    Inventors: Freddy Lecue, Joern Ploennigs, Anika Schumann
  • Patent number: 11321616
    Abstract: A method for generating an operational rule associated with a building management system includes identifying, with a processing device, a first pattern associated with a series of operational observations corresponding to a property of the building management system, correlating a first contextual attribute with the first pattern, and deriving the operational rule at least in part based on the first pattern and the first contextual attribute.
    Type: Grant
    Filed: October 12, 2016
    Date of Patent: May 3, 2022
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Bei Chen, Joern Ploennigs, Anika Schumann, Mathieu Sinn
  • Patent number: 11138512
    Abstract: Energy usage can be monitored within at least one building having a plurality of energy consuming components. A database can be generated that contains values for a set of data points corresponding to data received from the plurality of energy consuming components. A change in a configuration can be detected for the plurality of energy consuming components based upon a change in values received from plurality of energy consuming components relative to the database. Based upon the change, an additional data point can be added to the set of data points in the database. Based upon the values for the set of data points, a probability can be determined that a rule for the additional data point is valid. A message can then be generated that includes the determined probability.
    Type: Grant
    Filed: March 14, 2018
    Date of Patent: October 5, 2021
    Assignee: International Business Machines Corporation
    Inventors: Niall Brady, Bernard Gorman, Raymond Lloyd, Joern Ploennigs, Anika Schumann, Olivier Verscheure
  • Patent number: 10699214
    Abstract: Embodiments for using virtual sensor models in an internet of things (IoT) environment by a processor. One or more virtual sensor models are automatically identified according to a semantic graph, having a knowledge domain that links and describes a relationship between observed variables associated with one or more sensors with unobserved variables associated with the IoT environment. The one or more virtual sensor models may be selected for deployment in the IoT environment according to one or more combinations of virtual sensor inputs.
    Type: Grant
    Filed: October 26, 2016
    Date of Patent: June 30, 2020
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Bei Chen, Joern Ploennigs, Anika Schumann
  • Publication number: 20200090054
    Abstract: A system, method and a computer program product may be provided for automatically creating and parameterizing a semantically-enriched diagnosis model for an entity. The system receives a list of data points, from sensors or a database, to be used to create a diagnosis model. The system automatically creates the diagnosis model based on the received list of data points and data stored in a database and parameterizes the diagnosis model. The parameterized diagnosis model reflects rules that determine one or more potential causes of one or more abnormalities of one or more physical conditions in the entity.
    Type: Application
    Filed: November 19, 2019
    Publication date: March 19, 2020
    Inventors: Freddy Lecue, Joern Ploennigs, Anika Schumann
  • Patent number: 10579927
    Abstract: A system, method and a computer program product may be provided for automatically creating and parameterizing a semantically-enriched diagnosis model for an entity. The system receives a list of data points, from sensors or a database, to be used to create a diagnosis model. The system automatically creates the diagnosis model based on the received list of data points and data stored in a database and parameterizes the diagnosis model. The parameterized diagnosis model reflects rules that determine one or more potential causes of one or more abnormalities of one or more physical conditions in the entity.
    Type: Grant
    Filed: May 17, 2017
    Date of Patent: March 3, 2020
    Assignee: International Business Machines Corporation
    Inventors: Freddy Lecue, Joern Ploennigs, Anika Schumann
  • Publication number: 20180204127
    Abstract: Energy usage can be monitored within at least one building having a plurality of energy consuming components. A database can be generated that contains values for a set of data points corresponding to data received from the plurality of energy consuming components. A change in a configuration can be detected for the plurality of energy consuming components based upon a change in values received from plurality of energy consuming components relative to the database. Based upon the change, an additional data point can be added to the set of data points in the database. Based upon the values for the set of data points, a probability can be determined that a rule for the additional data point is valid. A message can then be generated that includes the determined probability.
    Type: Application
    Filed: March 14, 2018
    Publication date: July 19, 2018
    Inventors: Niall Brady, Bernard Gorman, Raymond Lloyd, Joern Ploennigs, Anika Schumann, Olivier Verscheure
  • Publication number: 20180114140
    Abstract: Embodiments for using virtual sensor models in an internet of things (IoT) environment by a processor. One or more virtual sensor models are automatically identified according to a semantic graph, having a knowledge domain that links and describes a relationship between observed variables associated with one or more sensors with unobserved variables associated with the IoT environment. The one or more virtual sensor models may be selected for deployment in the IoT environment according to one or more combinations of virtual sensor inputs.
    Type: Application
    Filed: October 26, 2016
    Publication date: April 26, 2018
    Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Bei CHEN, Joern PLOENNIGS, Anika SCHUMANN
  • Patent number: 9953266
    Abstract: Energy usage can be monitored within at least one building having a plurality of energy consuming components. A database can be generated that contains values for a set of data points corresponding to data received from the plurality of energy consuming components. A change in a configuration can be detected for the plurality of energy consuming components based upon a change in values received from plurality of energy consuming components relative to the database. Based upon the change, an additional data point can be added to the set of data points in the database. Based upon the values for the set of data points, a probability can be determined that a rule for the additional data point is valid. A message can then be generated that includes the determined probability.
    Type: Grant
    Filed: November 14, 2014
    Date of Patent: April 24, 2018
    Assignee: International Business Machines Corporation
    Inventors: Niall Brady, Bernard Gorman, Raymond Lloyd, Joern Ploennigs, Anika Schumann, Olivier Verscheure
  • Patent number: 9927467
    Abstract: Software that uses actual, historic building management system (BMS) data and/or machine logic to estimate an amount of energy that would have been consumed (and saved) had the BMS been operated under the control of an energy management system (EMS). The software performs the following steps: (i) receiving first actual BMS information relating to operation of a first set of appliance(s) located in a first building during a first time interval; (ii) selecting a first proposed EMS rule set; and (iii) determining a first contrafactual energy resource use value based, at least in part, on the first actual BMS information, with the first contrafactual use value corresponding to an amount of energy resources that would have been consumed by the first set of appliance(s) if the BMS had operated the first set of appliance(s) under control of the first proposed EMS rule set.
    Type: Grant
    Filed: October 14, 2014
    Date of Patent: March 27, 2018
    Assignee: International Business Machines Corporation
    Inventors: Bei Chen, Joern Ploennigs, Anika Schumann, Olivier Verscheure
  • Publication number: 20170351957
    Abstract: A system, method and a computer program product may be provided for automatically creating and parameterizing a semantically-enriched diagnosis model for an entity. The system receives a list of data points, from sensors or a database, to be used to create a diagnosis model. The system automatically creates the diagnosis model based on the received list of data points and data stored in a database and parameterizes the diagnosis model. The parameterized diagnosis model reflects rules that determine one or more potential causes of one or more abnormalities of one or more physical conditions in the entity.
    Type: Application
    Filed: May 17, 2017
    Publication date: December 7, 2017
    Inventors: Freddy Lecue, Joern Ploennigs, Anika Schumann
  • Patent number: 9679248
    Abstract: A system, method and a computer program product may be provided for automatically creating and parameterizing a semantically-enriched diagnosis model for an entity. The system receives a list of data points, from sensors or a database, to be used to create a diagnosis model. The system automatically creates the diagnosis model based on the received list of data points and data stored in a database and parameterizes the diagnosis model. The parameterized diagnosis model reflects rules that determine one or more potential causes of one or more abnormalities of one or more physical conditions in the entity.
    Type: Grant
    Filed: December 30, 2013
    Date of Patent: June 13, 2017
    Assignee: International Business Machines Corporation
    Inventors: Freddy Lecue, Joern Ploennigs, Anika Schumann
  • Publication number: 20170032254
    Abstract: A method for generating an operational rule associated with a building management system includes identifying, with a processing device, a first pattern associated with a series of operational observations corresponding to a property of the building management system, correlating a first contextual attribute with the first pattern, and deriving the operational rule at least in part based on the first pattern and the first contextual attribute.
    Type: Application
    Filed: October 12, 2016
    Publication date: February 2, 2017
    Inventors: Bei Chen, Joern Ploennigs, Anika Schumann, Mathieu Sinn
  • Patent number: 9514411
    Abstract: A method for generating an operational rule associated with a building management system includes identifying, with a processing device, a first pattern associated with a series of operational observations corresponding to a property of the building management system, correlating a first contextual attribute with the first pattern, and deriving the operational rule at least in part based on the first pattern and the first contextual attribute.
    Type: Grant
    Filed: December 16, 2013
    Date of Patent: December 6, 2016
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Bei Chen, Joern Ploennigs, Anika Schumann, Mathieu Sinn
  • Patent number: 9488969
    Abstract: Techniques for configuring a Building Energy Management System (BEMS) using knowledge encoded in BMS point lists are provided. In one aspect, a method for configuring a BEMS of a site is provided. The method includes the following steps. A knowledge base is derived from subject matter expertise. The knowledge base is used to extract one or more building characteristics from a point list of a building management system (BMS) that are not directly available from the BMS point list. The BEMS is configured using the one or more building characteristics extracted from the BMS point list.
    Type: Grant
    Filed: September 20, 2013
    Date of Patent: November 8, 2016
    Assignee: International Business Machines Corporation
    Inventors: Niall Brady, Freddy Lecue, Anika Schumann, Olivier Verscheure
  • Patent number: 9488967
    Abstract: Techniques for configuring a Building Energy Management System (BEMS) using knowledge encoded in BMS point lists are provided. In one aspect, a method for configuring a BEMS of a site is provided. The method includes the following steps. A knowledge base is derived from subject matter expertise. The knowledge base is used to extract one or more building characteristics from a point list of a building management system (BMS) that are not directly available from the BMS point list. The BEMS is configured using the one or more building characteristics extracted from the BMS point list.
    Type: Grant
    Filed: December 11, 2012
    Date of Patent: November 8, 2016
    Assignee: International Business Machines Corporation
    Inventors: Niall Brady, Freddy Lecue, Anika Schumann, Olivier Verscheure
  • Patent number: 9483735
    Abstract: A method for generating an operational rule associated with a building management system includes identifying, with a processing device, a first pattern associated with a series of operational observations corresponding to a property of the building management system, correlating a first contextual attribute with the first pattern, and deriving the operational rule at least in part based on the first pattern and the first contextual attribute.
    Type: Grant
    Filed: November 13, 2013
    Date of Patent: November 1, 2016
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Bei Chen, Joern Ploennigs, Anika Schumann, Mathieu Sinn
  • Publication number: 20160140443
    Abstract: Energy usage can be monitored within at least one building having a plurality of energy consuming components. A database can be generated that contains values for a set of data points corresponding to data received from the plurality of energy consuming components. A change in a configuration can be detected for the plurality of energy consuming components based upon a change in values received from plurality of energy consuming components relative to the database. Based upon the change, an additional data point can be added to the set of data points in the database. Based upon the values for the set of data points, a probability can be determined that a rule for the additional data point is valid. A message can then be generated that includes the determined probability.
    Type: Application
    Filed: November 14, 2014
    Publication date: May 19, 2016
    Inventors: Niall Brady, Bernard Gorman, Raymond Lloyd, Joern Ploennigs, Anika Schumann, Olivier Verscheure
  • Publication number: 20160103160
    Abstract: Software that uses actual, historic building management system (BMS) data and/or machine logic to estimate an amount of energy that would have been consumed (and saved) had the BMS been operated under the control of an energy management system (EMS). The software performs the following steps: (i) receiving first actual BMS information relating to operation of a first set of appliance(s) located in a first building during a first time interval; (ii) selecting a first proposed EMS rule set; and (iii) determining a first contrafactual energy resource use value based, at least in part, on the first actual BMS information, with the first contrafactual use value corresponding to an amount of energy resources that would have been consumed by the first set of appliance(s) if the BMS had operated the first set of appliance(s) under control of the first proposed EMS rule set.
    Type: Application
    Filed: October 14, 2014
    Publication date: April 14, 2016
    Inventors: Bei Chen, Joern Ploennigs, Anika Schumann, Olivier Verscheure
  • Publication number: 20150186777
    Abstract: A system, method and a computer program product may be provided for automatically creating and parameterizing a semantically-enriched diagnosis model for an entity. The system receives a list of data points, from sensors or a database, to be used to create a diagnosis model. The system automatically creates the diagnosis model based on the received list of data points and data stored in a database and parameterizes the diagnosis model. The parameterized diagnosis model reflects rules that determine one or more potential causes of one or more abnormalities of one or more physical conditions in the entity.
    Type: Application
    Filed: December 30, 2013
    Publication date: July 2, 2015
    Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Freddy Lecue, Joern Ploennigs, Anika Schumann