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).
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Patent number: 11734583Abstract: 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: GrantFiled: November 19, 2019Date of Patent: August 22, 2023Assignee: International Business Machines CorporationInventors: Freddy Lecue, Joern Ploennigs, Anika Schumann
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Patent number: 11321616Abstract: 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: GrantFiled: October 12, 2016Date of Patent: May 3, 2022Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Bei Chen, Joern Ploennigs, Anika Schumann, Mathieu Sinn
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Patent number: 11138512Abstract: 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: GrantFiled: March 14, 2018Date of Patent: October 5, 2021Assignee: International Business Machines CorporationInventors: Niall Brady, Bernard Gorman, Raymond Lloyd, Joern Ploennigs, Anika Schumann, Olivier Verscheure
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Patent number: 10699214Abstract: 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: GrantFiled: October 26, 2016Date of Patent: June 30, 2020Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Bei Chen, Joern Ploennigs, Anika Schumann
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Publication number: 20200090054Abstract: 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: ApplicationFiled: November 19, 2019Publication date: March 19, 2020Inventors: Freddy Lecue, Joern Ploennigs, Anika Schumann
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Patent number: 10579927Abstract: 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: GrantFiled: May 17, 2017Date of Patent: March 3, 2020Assignee: International Business Machines CorporationInventors: Freddy Lecue, Joern Ploennigs, Anika Schumann
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Publication number: 20180204127Abstract: 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: ApplicationFiled: March 14, 2018Publication date: July 19, 2018Inventors: Niall Brady, Bernard Gorman, Raymond Lloyd, Joern Ploennigs, Anika Schumann, Olivier Verscheure
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Publication number: 20180114140Abstract: 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: ApplicationFiled: October 26, 2016Publication date: April 26, 2018Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Bei CHEN, Joern PLOENNIGS, Anika SCHUMANN
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Patent number: 9953266Abstract: 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: GrantFiled: November 14, 2014Date of Patent: April 24, 2018Assignee: International Business Machines CorporationInventors: Niall Brady, Bernard Gorman, Raymond Lloyd, Joern Ploennigs, Anika Schumann, Olivier Verscheure
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Patent number: 9927467Abstract: 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: GrantFiled: October 14, 2014Date of Patent: March 27, 2018Assignee: International Business Machines CorporationInventors: Bei Chen, Joern Ploennigs, Anika Schumann, Olivier Verscheure
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Publication number: 20170351957Abstract: 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: ApplicationFiled: May 17, 2017Publication date: December 7, 2017Inventors: Freddy Lecue, Joern Ploennigs, Anika Schumann
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Patent number: 9679248Abstract: 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: GrantFiled: December 30, 2013Date of Patent: June 13, 2017Assignee: International Business Machines CorporationInventors: Freddy Lecue, Joern Ploennigs, Anika Schumann
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Publication number: 20170032254Abstract: 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: ApplicationFiled: October 12, 2016Publication date: February 2, 2017Inventors: Bei Chen, Joern Ploennigs, Anika Schumann, Mathieu Sinn
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Patent number: 9514411Abstract: 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: GrantFiled: December 16, 2013Date of Patent: December 6, 2016Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Bei Chen, Joern Ploennigs, Anika Schumann, Mathieu Sinn
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Patent number: 9488969Abstract: 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: GrantFiled: September 20, 2013Date of Patent: November 8, 2016Assignee: International Business Machines CorporationInventors: Niall Brady, Freddy Lecue, Anika Schumann, Olivier Verscheure
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Patent number: 9488967Abstract: 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: GrantFiled: December 11, 2012Date of Patent: November 8, 2016Assignee: International Business Machines CorporationInventors: Niall Brady, Freddy Lecue, Anika Schumann, Olivier Verscheure
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Patent number: 9483735Abstract: 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: GrantFiled: November 13, 2013Date of Patent: November 1, 2016Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Bei Chen, Joern Ploennigs, Anika Schumann, Mathieu Sinn
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Publication number: 20160140443Abstract: 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: ApplicationFiled: November 14, 2014Publication date: May 19, 2016Inventors: Niall Brady, Bernard Gorman, Raymond Lloyd, Joern Ploennigs, Anika Schumann, Olivier Verscheure
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Publication number: 20160103160Abstract: 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: ApplicationFiled: October 14, 2014Publication date: April 14, 2016Inventors: Bei Chen, Joern Ploennigs, Anika Schumann, Olivier Verscheure
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Publication number: 20150186777Abstract: 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: ApplicationFiled: December 30, 2013Publication date: July 2, 2015Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Freddy Lecue, Joern Ploennigs, Anika Schumann