Johnson Controls Tyco IP Holdings Llp

Johnson Controls Technology Company

Tyco Fire & Security Gmbh

Karl F Reichenberger

Sudhi R Sinha

Youngchoon Park

Justin J Ploegert

Vineet Binodshanker Sinha

Donald R Albinger

Vaidhyanathan Venkiteswaran

Sujith Ebenezer

Miguel Galvez

Daniel M Curtis

Rajiv Ramanasankaran

Young M Lee

Trent Mark Swanson

Adam R Grabowski

Gary W Gavin

John F Kuchler

Julie J Brown

James Young

Juliet A Pagliaro Herman

Nicole A Madison

Dana S Petersen

George R Oliver

Lauren C Dern

Prashanthi Sudhakar

Michael Tenbrock

Levent Tinaz

Deepak Budhiraja

Daniela M Natali

Scott Deering

Kaleb Luedtke

Pedriant Pena

Wenwen Zhao

Ghassan R Hamoudeh

Kristen Sheppard-Guzelaydin

Nevin L Forry

Ryan G Danielson

Samuel A Girard

David S Elario

Josip Lazarevski

Joseph M Mueller

Sastry Km Malladi

Terrill R Laughton

Todd A Dishman

Mike Sheffer

Young Min Lee

Erik S Paulson

Richard John Campero

Jason M Ouellette

Ryan A Piaskowski

Graeme Jarvis

Robert B Locke

John T Pierson

Christopher Cianciolo

Yingchun Xu

Bing Mao

Patrick W Mulcahy

Dominick O'Dierno

John D Perkins

August Lu

Kirk H Drees

William Paul Alberth, Jr

Theresa N Gillette

Joseph R Ribbich

Andrew Michael Boyd

Walter Andrew Martin

John Peter Cipolla

Steven R Vitullo

Donald A Gottschalk

Clay G Nesler

Michael L Ribbich

Charles J Gaidish

Ada L Ma

Shawn D Schubert

Radu M Dorneanu

Madhuka Manuranga Jayarathne

Eric G Lang

Abu Bakr Khan

Andrew J Boettcher

Thomas D Chase

Jason T Sawyer

Matthew T Trawicki

Sastry K M Malladi

Thomas M Seneczko

Patrick E Harder

Siddharth Goyal

Matthew Forrest Malcolm

Matthew J Deloge

Brian J Pfeifer

Robert H Harland

Joseph H Klotz

A method can include activating a building platform chip integrated into a building device of a building and coupled with a processing circuit of the building device. The method can include retrieving, by the building platform chip, first data from the processing circuit of the building device through communication with the processing circuit. The method can include generating, by the building platform chip, second data to cause a digital twin of the building device to be constructed.

Building platform chip for digital twins

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. The method includes automatically initiating, by the processors, one or more actions to address the problem based on the information provided via the user interface.

Building management system with generative AI-based interactive service tool

A system for commissioning a model, comprising one or more processing circuits configured to identify a first plurality of data points in the building, automatically tag at least a portion of the first plurality of data points with one or more first tags using context data extracted from and/or associated with the data points, the one or more entities comprising one or more of building equipment, building spaces, people, or events, identify at least one of the first plurality of data points for manual review and generate one or more suggested tags for the at least one data point, receive feedback from the manual review, and receive a second plurality of data points in the building and automatically tag at least a portion of the second plurality of data points with one or more second tags using the feedback from the manual review.

Systems and methods of configuring a building management system

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.

Building management system with generative AI-based automated flexible customer report generation and standardization

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.

Building management system with identity management

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.

Building management system with generative AI-based predictive maintenance

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.

Systems and methods of access validation using distributed ledger identity management

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.

Building management system with generative AI-based root cause prediction

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.

Building system with user presentation composition based on building context

A building system including one or more memory devices configured to store instructions that, when executed on one or more processors, cause the one or more processors to collect building device data of a building device, the building device data comprising a plurality of data samples of a data point and generate a time correlated data stream for the data point, the time correlated data stream comprising values of the plurality of data samples of the data point. The instructions cause the one or more processors to generate a time correlated reliability data stream for the data point, the time correlated reliability data stream comprising a plurality of reliability values indicating reliability of the values of the plurality of data samples of the data point.

Building system with a time correlated reliability data stream

A building network system of a building includes a network system. The network system includes one or more processing circuits. The one or more processing circuits are configured to receive network data from a building network of the building, the network data associated with a plurality of pieces of building equipment of the building. The one or more processing circuits are configured to generate a digital network twin of the building network based on the network data, the digital network twin representing the plurality of pieces of building equipment and relationships between the plurality of pieces of building equipment. The one or more processing circuits are configured to identify one or more network updates to the building network based on the digital network twin. The one or more processing circuits are configured to deploy the one or more network updates to the building network.

Building system with digital network twin

A method in a heating, ventilation, or air conditioning (HVAC) system includes retrieving a control input from a remote computing system via a cellular network responsive to determining that a connection to a local wireless network cannot be established and generating a control signal for HVAC equipment based on the control input or generating a control signal for HVAC equipment by executing a backup control algorithm responsive to determining that a connection to a local wireless network cannot be established.

Backup control for HVAC system with headless thermostat

Growing community of inventors

Mequon, WI, United States of America

Karl F Reichenberger