Patents by Inventor Karl F. Reichenberger

Karl F. Reichenberger 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: 12341624
    Abstract: A building system for identity management of a building, the building system including one or more storage devices configured to store instructions thereon, that, when executed by one or more processors, cause the one or more processors to receive a request to determine whether an entity has a privilege and determine whether the entity has the privilege by querying, based on the request, a graph database to identity information of the graph database that indicates whether the entity has the privilege, wherein the graph database stores nodes representing at least one of users, equipment, events, or spaces of the building, wherein the graph database stores edges between the nodes representing relationships between the users, equipment, events, or spaces. The instructions cause the one or more processors to generate a response including a determination whether the entity has the privilege.
    Type: Grant
    Filed: September 12, 2023
    Date of Patent: June 24, 2025
    Assignee: JOHNSON CONTROLS TECHNOLOGY COMPANY
    Inventors: Youngchoon Park, Sudhi R. Sinha, Erik S. Paulson, Justin Ploegert, Dominick O'Dierno, Karl F. Reichenberger
  • Patent number: 12282305
    Abstract: A method including training, by one or more processors, a generative AI model using first operating data from building equipment and a plurality of first service reports indicating a plurality of first problems associated with the building equipment. The method may include predicting, by the one or more processors using the generative AI model, one or more future problems likely to occur with the building equipment based on second operating data from the building equipment. The method may include automatically initiating, by the one or more processors, one or more actions to prevent the one or more future problems from occurring or mitigate an effect of the one or more future problems.
    Type: Grant
    Filed: January 22, 2024
    Date of Patent: April 22, 2025
    Assignee: TYCO FIRE & SECURITY GMBH
    Inventors: Julie J. Brown, Young M. Lee, Rajiv Ramanasankaran, Sastry K M Malladi, Michael Tenbrock, Levent Tinaz, Samuel A. Girard, David S. Elario, Juliet A Pagliaro Herman, Miguel Galvez, Trent M. Swanson, John F. Kuchler, Deepak Budhiraja, Daniela M. Natali, Josip Lazarevski, Scott Deering, Gary W. Gavin, Kristen Sheppard-Guzelaydin, James Young, Prashanthi Sudhakar, Kaleb Luedtke, Karl F. Reichenberger, Wenwen Zhao, Adam R. Grabowski, Lauren C. Dern, Nicole A. Madison, Dana S. Petersen, Nevin L. Forry, Pedriant Pena, Ghassan R. Hamoudeh, Ryan G Danielson
  • Patent number: 12283147
    Abstract: An access control system includes a plurality of sensors and an access controller that includes one or more processors. The sensors detect sensor data regarding a user. The one or more processors receive credential data regarding the user from at least one of an access control device and an electronic wallet, evaluate a medical status using at least one of the sensor data and the credential data, validate access into a space responsive to the medical status being satisfied, and update a record data structure of at least one of the electronic wallet and a distributed ledger using the evaluation of the medical status.
    Type: Grant
    Filed: February 1, 2024
    Date of Patent: April 22, 2025
    Assignee: TYCO FIRE & SECURITY GMBH
    Inventors: Graeme Jarvis, Jason Ouellette, Christopher Cianciolo, Karl F. Reichenberger
  • Publication number: 20250110452
    Abstract: A building system includes one or more storage devices having instructions stored thereon that, when executed by one or more processors, cause the one or more processors to receive an unstructured user question from a user device of a user and query a graph database based on the unstructured user question to extract context associated with the unstructured user question from contextual information of a building stored by the graph database, wherein the graph database stores the contextual information of the building through nodes and edges between the nodes, wherein the nodes represent equipment, spaces, people, and events associated building and the edges represent relationships between the equipment, spaces, people, and events. The instructions further cause the one or more processors to retrieve data from one or more data sources based on the context and compose a presentation based on the retrieved data.
    Type: Application
    Filed: December 12, 2024
    Publication date: April 3, 2025
    Inventors: George R. Oliver, Justin J. Ploegert, Karl F. Reichenberger, Sudhi R. Sinha, Sujith Ebenezer, Youngchoon Park
  • Patent number: 12242937
    Abstract: A method including training, by one or more processors, a generative AI model using a plurality of first service requests handled by technicians for servicing building equipment. The generative AI model may be trained to predict root causes of a plurality of first problems corresponding to the plurality of first service requests. The method may include receiving, by the one or more processors, a second service request for servicing building equipment. The method may include predicting, by the one or more processors using the generative AI model, a root cause of a second problem corresponding to the second service request based on characteristics of the second service request and one or more patterns or trends identified from the plurality of first service requests using the generative AI model.
    Type: Grant
    Filed: January 22, 2024
    Date of Patent: March 4, 2025
    Assignee: Tyco Fire & Security GmbH
    Inventors: Julie J. Brown, Young M. Lee, Rajiv Ramanasankaran, Sastry KM Malladi, Michael Tenbrock, Levent Tinaz, Samuel A Girard, David S. Elario, Juliet A Pagliaro Herman, Miguel Galvez, Trent M. Swanson, John F. Kuchler, Deepak Budhiraja, Daniela M. Natali, Josip Lazarevski, Scott Deering, Gary W. Gavin, Kristen Sheppard-Guzelaydin, James Young, Prashanthi Sudhakar, Kaleb Luedtke, Karl F. Reichenberger, Wenwen Zhao, Adam R. Grabowski, Lauren C. Dern, Nicole A. Madison, Dana S. Petersen, Nevin L. Forry, Pedriant Pena, Ghassan R. Hamoudeh, Ryan G. Danielson
  • Publication number: 20250043983
    Abstract: An environmental control system for a building, the system including a vent. The vent includes one or more louvers configured to change position between an open position and a closed position to permit air from the air duct to enter a zone of the building or stop the air from entering the zone and a vent circuit configured to operate the one or more louvers based on one or more control commands. The system includes a controller device including a processing circuit configured to receive a selection of an operating profile from a plurality of predefined operating profiles for the vent, each of the plurality of predefined operating profiles indicating an intended use of the zone, determine, based on the operating profile, the one or more control commands, and cause the vent circuit to operate the one or more louvers based on the one or more control commands.
    Type: Application
    Filed: October 25, 2024
    Publication date: February 6, 2025
    Applicant: Tyco Fire & Security GmbH
    Inventors: Vineet Binodshanker Sinha, Karl F. Reichenberger
  • Patent number: 12210324
    Abstract: A building system includes one or more storage devices having instructions stored thereon that, when executed by one or more processors, cause the one or more processors to receive an unstructured user question from a user device of a user and query a graph database based on the unstructured user question to extract context associated with the unstructured user question from contextual information of a building stored by the graph database, wherein the graph database stores the contextual information of the building through nodes and edges between the nodes, wherein the nodes represent equipment, spaces, people, and events associated building and the edges represent relationships between the equipment, spaces, people, and events. The instructions further cause the one or more processors to retrieve data from one or more data sources based on the context and compose a presentation based on the retrieved data.
    Type: Grant
    Filed: February 21, 2024
    Date of Patent: January 28, 2025
    Assignee: JOHNSON CONTROLS TECHNOLOGY COMPANY
    Inventors: George R. Oliver, Justin J. Ploegert, Karl F. Reichenberger, Sudhi R. Sinha, Sujith Ebenezer, Youngchoon Park
  • Publication number: 20240401833
    Abstract: Systems and methods are disclosed relating to building management systems with building equipment servicing. For example, a system can include at least one machine learning model configured using training data that includes at least one of unstructured data or structured data regarding items of equipment. The system can provide inputs, such as prompts, to the at least one machine learning model regarding an item of equipment, and generate, according to the inputs, responses regarding the item of equipment, such as responses for detecting a cause of an issue of the item of equipment, performing a service operation corresponding to the cause, or guiding a user through the service operation.
    Type: Application
    Filed: May 31, 2024
    Publication date: December 5, 2024
    Inventors: Gary W. Gavin, Abu Bakr Khan, Gregory M. Makowski, Sastry KM Malladi, Thomas M. Seneczko, Karl F. Reichenberger, Vineet Binodshanker Sinha, Matthew J. Asmus, Kaleb Luedtke, Daniel J. Brandt
  • Publication number: 20240377792
    Abstract: Systems and methods are disclosed relating to building management systems with building equipment servicing. For example, a system can include at least one machine learning model configured using training data that includes at least one of unstructured data or structured data regarding items of equipment. The system can provide inputs, such as prompts, to the at least one machine learning model regarding an item of equipment, and generate, according to the inputs, responses regarding the item of equipment, such as responses for detecting a cause of an issue of the item of equipment, performing a service operation corresponding to the cause, or guiding a user through the service operation.
    Type: Application
    Filed: May 10, 2024
    Publication date: November 14, 2024
    Inventors: Julie J. Brown, Young M. Lee, Rajiv Ramanasankaran, Sastry KM Malladi, Michael Tenbrock, Levent Tinaz, Samuel A. Girard, David S. Elario, Juliet A. Pagliaro Herman, Trent M. Swanson, Miguel Galvez, John F. Kuchler, Deepak Budhiraja, Daniela M. Natali, Josip Lazarevski, Scott Deering, Gary W. Gavin, Kristen Sheppard-Guzelaydin, James Young, Prashanthi Sudhakar, Kaleb Luedtke, Karl F. Reichenberger, Wenwen Zhao, Gregory A. Makowski
  • Publication number: 20240362544
    Abstract: A method including training, by one or more processors, a generative AI model using a plurality of first service requests handled by technicians for servicing building equipment. The generative AI model may be trained to predict root causes of a plurality of first problems corresponding to the plurality of first service requests. The method may include receiving, by the one or more processors, a second service request for servicing building equipment. The method may include predicting, by the one or more processors using the generative AI model, a root cause of a second problem corresponding to the second service request based on characteristics of the second service request and one or more patterns or trends identified from the plurality of first service requests using the generative AI model.
    Type: Application
    Filed: June 28, 2024
    Publication date: October 31, 2024
    Inventors: Julie J. Brown, Young M. Lee, Rajiv Ramanasankaran, Sastry KM Malladi, Michael Tenbrock, Levent Tinaz, Samuel A. Girard, David S. Elario, Juliet A. Pagliaro Herman, Miguel Galvez, Trent M. Swanson, John F. Kuchler, Deepak Budhiraja, Daniela M. Natali, Josip Lazarevski, Scott Deering, Gary W. Gavin, Kristen Sheppard-Guzelaydin, James Young, Prashanthi Sudhakar, Kaleb Luedtke, Karl F. Reichenberger, Wenwen Zhao, Adam R. Grabowski, Lauren C. Dern, Nicole A. Madison, Dana S. Petersen, Nevin L. Forry, Pedriant Pena, Ghassan R. Hamoudeh, Ryan G. Danielson
  • Publication number: 20240346458
    Abstract: A method includes receiving, by one or more processors, an unstructured service report corresponding to a service request handled by one or more technicians for servicing building equipment. The unstructured service report may include unstructured data not conforming to a predetermined format or conforming to a plurality of different predetermined formats. The method may include extracting, by the one or more processors, a set of standards from one or more technical documents associated with the building equipment. The method may include automatically generating, by the one or more processors using a generative AI model, a structured service report in the predetermined format for delivery to a customer associated with the building equipment. Generating the structured service report may include standardizing the structured service report to comply with the set of standards extracted from the one or more technical documents associated with the building equipment.
    Type: Application
    Filed: April 11, 2024
    Publication date: October 17, 2024
    Inventors: Julie J. Brown, Young M. Lee, Rajiv Ramanasankaran, Sastry KM Malladi, Michael Tenbrock, Levent Tinaz, Samuel A. Girard, David S. Elario, Juliet A. Pagliaro Herman, Miguel Galvez, Trent M. Swanson, John F. Kuchler, Deepak Budhiraja, Daniela M. Natali, Josip Lazarevski, Scott Deering, Gary W. Gavin, Kristen Sheppard-Guzelaydin, James Young, Prashanthi Sudhakar, Kaleb Luedtke, Karl F. Reichenberger, Wenwen Zhao, Adam R. Grabowski, Lauren C. Dern, Nicole A. Madison, Dana S. Petersen, Nevin L. Forry, Pedriant Pena, Ghassan R. Hamoudeh, Ryan G. Danielson
  • Publication number: 20240346311
    Abstract: A method includes training, by one or more processors, a generative AI model using training data including a plurality of first service requests indicating a plurality of first problems associated with building equipment and a plurality of first actions performed in response to the plurality of first service requests. The method may include receiving, by the one or more processors, a second service request indicating a second problem associated with building equipment. The method may include automatically determining, by the one or more processors using the generative AI model, one or more second actions to perform based on characteristics of the second service request. The method may include automatically initiating, by the one or more processors, the one or more second actions to address the second problem associated with the building equipment.
    Type: Application
    Filed: April 11, 2024
    Publication date: October 17, 2024
    Inventors: Julie J. Brown, Young M. Lee, Rajiv Ramanasankaran, Sastry KM Malladi, Michael Tenbrock, Levent Tinaz, Samuel A. Girard, David S. Elario, Juliet A. Pagliaro Herman, Miguel Galvez, Trent M. Swanson, John F. Kuchler, Deepak Budhiraja, Daniela M. Natali, Josip Lazarevski, Scott Deering, Gary W. Gavin, Kristen Sheppard-Guzelaydin, James Young, Prashanthi Sudhakar, Kaleb Luedtke, Karl F. Reichenberger, Wenwen Zhao, Adam R. Grabowski, Lauren C. Dern, Nicole A. Madison, Dana S. Petersen, Nevin L. Forry, Pedriant Pena, Ghassan R. Hamoudeh, Ryan G. Danielson
  • Publication number: 20240345554
    Abstract: A method including training, by one or more processors, a generative AI model using first operating data from building equipment and a plurality of first service reports indicating a plurality of first problems associated with the building equipment. The method may include predicting, by the one or more processors using the generative AI model, one or more future problems likely to occur with the building equipment based on second operating data from the building equipment. The method may include automatically initiating, by the one or more processors, one or more actions to prevent the one or more future problems from occurring or mitigate an effect of the one or more future problems.
    Type: Application
    Filed: January 22, 2024
    Publication date: October 17, 2024
    Inventors: Julie J. Brown, Young M. Lee, Rajiv Ramanasankaran, Sastry KM Malladi, Michael Tenbrock, Levent Tinaz, Samuel A. Girard, David S. Elario, Juliet A. Pagliaro Herman, Miguel Galvez, Trent M. Swanson, John F. Kuchler, Deepak Budhiraja, Daniela M. Natali, Josip Lazarevski, Scott Deering, Gary W. Gavin, Kristen Sheppard-Guzelaydin, James Young, Prashanthi Sudhakar, Kaleb Luedtke, Karl F. Reichenberger, Wenwen Zhao, Adam R. Grabowski, Lauren C. Dern, Nicole A. Madison, Dana S. Petersen, Nevin L. Forry, Pedriant Pena, Ghassan R. Hamoudeh, Ryan G. Danielson
  • Publication number: 20240346060
    Abstract: A method includes receiving, by one or more processors, a plurality of first unstructured service reports corresponding to a plurality of first service requests handled by technicians for servicing building equipment. The plurality of first unstructured service reports may include unstructured data not conforming to a predetermined format or conforming to a plurality of different predetermined formats. The method may include training, by the one or more processors, a generative AI model using the plurality of first unstructured service reports. The method may include performing, by the one or more processors using the trained generative AI model, one or more actions with respect a second service request subsequent to training the generative AI model.
    Type: Application
    Filed: April 11, 2024
    Publication date: October 17, 2024
    Inventors: Julie J. Brown, Young M. Lee, Rajiv Ramanasankaran, Sastry KM Malladi, Michael Tenbrock, Levent Tinaz, Samuel A. Girard, David S. Elario, Juliet A. Pagliaro Herman, Miguel Galvez, Trent M. Swanson, John F. Kuchler, Deepak Budhiraja, Daniela M. Natali, Josip Lazarevski, Scott Deering, Gary W. Gavin, Kristen Sheppard-Guzelaydin, James Young, Prashanthi Sudhakar, Kaleb Luedtke, Karl F. Reichenberger, Wenwen Zhao, Adam R. Grabowski, Lauren C. Dern, Nicole A. Madison, Dana S. Petersen, Nevin L. Forry, Pedriant Pena, Ghassan R. Hamoudeh, Ryan G. Danielson
  • Publication number: 20240345560
    Abstract: A method includes receiving, by one or more processors, unstructured service data corresponding to one or more service requests handled by technicians for servicing building equipment of a building. The method may include detecting, by the one or more processors, an identifier of the building equipment, a space of the building, or a customer associated with the building using the unstructured service data. The method may include retrieving, by the one or more processors based on the identifier of the building equipment, the space, or the customer, additional data associated with the building equipment, the space, or the customer from one or more additional data sources separate from the unstructured service data. The method may include training, by the one or more processors, a generative AI model using training data including the unstructured service data and the additional data.
    Type: Application
    Filed: April 11, 2024
    Publication date: October 17, 2024
    Inventors: Julie J. Brown, Young M. Lee, Rajiv Ramanasankaran, Sastry KM Malladi, Michael Tenbrock, Levent Tinaz, Samuel A. Girard, David S. Elario, Juliet A. Pagliaro Herman, Miguel Galvez, Trent M. Swanson, John F. Kuchler, Deepak Budhiraja, Daniela M. Natali, Josip Lazarevski, Scott Deering, Gary W. Gavin, Kristen Sheppard-Guzelaydin, James Young, Prashanthi Sudhakar, Kaleb Luedtke, Karl F. Reichenberger, Wenwen Zhao, Adam R. Grabowski, Lauren C. Dern, Nicole A. Madison, Dana S. Petersen, Nevin L. Forry, Pedriant Pena, Ghassan R. Hamoudeh, Ryan G. Danielson
  • Publication number: 20240346036
    Abstract: A method including training, by one or more processors, a generative AI model using a plurality of first unstructured service reports corresponding to a plurality of first service requests handled by technicians for servicing building equipment. The plurality of first unstructured service reports include unstructured data not conforming to a predetermined format or conforming to a plurality of different predetermined formats. The method includes receiving, by the processors, a second service request for servicing building equipment. The method includes generating, by the processors using the generative AI model, a user interface prompting a user to provide information about a problem leading to the second service request as unstructured data not conforming to the predetermined format or conforming to the plurality of different predetermined formats.
    Type: Application
    Filed: January 22, 2024
    Publication date: October 17, 2024
    Inventors: Julie J. Brown, Young M. Lee, Rajiv Ramanasankaran, Sastry KM Malladi, Michael Tenbrock, Levent Tinaz, Samuel A. Girard, David S. Elario, Juliet A. Pagliaro Herman, Miguel Galvez, Trent M. Swanson, John F. Kuchler, Deepak Budhiraja, Daniela M. Natali, Josip Lazarevski, Scott Deering, Gary W. Gavin, Kristen Sheppard-Guzelaydin, James Young, Prashanthi Sudhakar, Kaleb Luedtke, Karl F. Reichenberger, Wenwen Zhao, Adam R. Grabowski, Lauren C. Dern, Nicole A. Madison, Dana S. Petersen, Nevin L. Forry, Pedriant Pena, Ghassan R. Hamoudeh, Ryan G. Danielson
  • Publication number: 20240346459
    Abstract: A method includes training, by one or more processors, a generative AI model using a plurality of first service requests handled by technicians for servicing building equipment and outcome data indicating outcomes of the plurality of first service requests. The generative AI model may be trained to identify one or more patterns or trends between characteristics of the plurality of first service requests and the outcomes of the plurality of first service requests. The method may include receiving a second service request for servicing building equipment. The method may include automatically determining, using the generative AI model, one or more responses to the second service request based on characteristics of the second service request and the one or more patterns or trends between the characteristics of the plurality of first service requests and the outcomes of the plurality of first service requests identified using the generative AI model.
    Type: Application
    Filed: April 11, 2024
    Publication date: October 17, 2024
    Inventors: Julie J. Brown, Young M. Lee, Rajiv Ramanasankaran, Sastry KM Malladi, Michael Tenbrock, Levent Tinaz, Samuel A. Girard, David S. Elario, Juliet A. Pagliaro Herman, Miguel Galvez, Trent M. Swanson, John F. Kuchler, Deepak Budhiraja, Daniela M. Natali, Josip Lazarevski, Scott Deering, Gary W. Gavin, Kristen Sheppard-Guzelaydin, James Young, Prashanthi Sudhakar, Kaleb Luedtke, Karl F. Reichenberger, Wenwen Zhao, Adam R. Grabowski, Lauren C. Dern, Nicole A. Madison, Dana S. Petersen, Nevin L. Forry, Pedriant Pena, Ghassan R. Hamoudeh, Ryan G. Danielson
  • Publication number: 20240346611
    Abstract: A method includes receiving, by one or more processors, an unstructured service report corresponding to a service request handled by one or more technicians for servicing building equipment. The unstructured service report may include unstructured data not conforming to a predetermined format or conforming to a plurality of different predetermined formats. The method may include automatically generating, by the one or more processors using a generative AI model, a structured service report in the predetermined format for delivery to a customer associated with the building equipment. The structured service report may include additional content generated by the generative AI model and not provided within the unstructured service report.
    Type: Application
    Filed: April 11, 2024
    Publication date: October 17, 2024
    Inventors: Julie J. Brown, Young M. Lee, Rajiv Ramanasankaran, Sastry KM Malladi, Michael Tenbrock, Levent Tinaz, Samuel A. Girard, David S. Elario, Juliet A. Pagliaro Herman, Miguel Galvez, Trent M. Swanson, John F. Kuchler, Deepak Budhiraja, Daniela M. Natali, Josip Lazarevski, Scott Deering, Gary W. Gavin, Kristen Sheppard-Guzelaydin, James Young, Prashanthi Sudhakar, Kaleb Luedtke, Karl F. Reichenberger, Wenwen Zhao, Adam R. Grabowski, Lauren C. Dern, Nicole A. Madison, Dana S. Petersen, Nevin L. Forry, Pedriant Pena, Ghassan R. Hamoudeh, Ryan G. Danielson
  • Publication number: 20240242555
    Abstract: An access control system includes a plurality of sensors and an access controller that includes one or more processors. The sensors detect sensor data regarding a user. The one or more processors receive credential data regarding the user from at least one of an access control device and an electronic wallet, evaluate a medical status using at least one of the sensor data and the credential data, validate access into a space responsive to the medical status being satisfied, and update a record data structure of at least one of the electronic wallet and a distributed ledger using the evaluation of the medical status.
    Type: Application
    Filed: February 1, 2024
    Publication date: July 18, 2024
    Inventors: Graeme Jarvis, Jason Ouellette, Christopher Cianciolo, Karl F. Reichenberger
  • Publication number: 20240219868
    Abstract: A building system includes one or more storage devices having instructions stored thereon that, when executed by one or more processors, cause the one or more processors to receive an unstructured user question from a user device of a user and query a graph database based on the unstructured user question to extract context associated with the unstructured user question from contextual information of a building stored by the graph database, wherein the graph database stores the contextual information of the building through nodes and edges between the nodes, wherein the nodes represent equipment, spaces, people, and events associated building and the edges represent relationships between the equipment, spaces, people, and events. The instructions further cause the one or more processors to retrieve data from one or more data sources based on the context and compose a presentation based on the retrieved data.
    Type: Application
    Filed: February 21, 2024
    Publication date: July 4, 2024
    Inventors: George R. Oliver, Justin J. Ploegert, Karl F. Reichenberger, Sudhi R. Sinha, Sujith Ebenezer, Youngchoon Park