Tyco Fire & Security Gmbh

Johnson Controls Tyco IP Holdings Llp

Jonathan D Douglas

Kirk H Drees

Michael Risbeck

Michael James Risbeck

Clay G Nesler

Bernard P Clement

Michael J Wenzel

Mohammad N ElBsat

Robert D Turney

Matthew J Ellis

Ambuj Shatdal

James Byron Burke

Timothy C Gamroth

Young M Lee

Brennan H Fentzlaff

Rajiv Ramanasankaran

Shawn D Schubert

Bernard Clement

Rachel D M Ellerman

Chenlu Zhang

Thomas M Seneczko

Andrew Leroy Hjortland

David S Eidson

Serdar Suindykov

Edward Gerard McNamara

Juliet A Pagliaro Herman

Mark L Ziolkowski

Matthew J Deloge

Charles Gans

Anza D'Antonio

Renee Clair

Ganesh Kalpundi

Joseph F Mann

Tyler A Smith

Joseph Pustai, Jr

A building system of a building operates to store a digital twin of the building in the one or more storage devices, wherein the digital twin further includes an artificial intelligence configured to generate a plurality of inference values of a data point for a plurality of future times, the data point related to the building by the interrelationship of the digital twin. The building system operates to generate a recommendation based on the plurality of inference values for the data point for the plurality of future times, the recommendation recommending making one or more updates to the building, and cause a graphic representation of the building to display an indication of the recommendation.

Building data platform with digital twin based predictive recommendation visualization

A building system operates to receive air quality measurements of a plurality of spaces of the building from a mobile air quality sensor, the mobile air quality sensor configured to collect the air quality measurements of the plurality of spaces while the mobile air quality sensor moves throughout the plurality of spaces of the building and provide the collected air quality measurements to the one or more processors. The air quality measurements include data identifying locations and times at which the air quality measurements were collected The building system operates to cause the one or more processors to store information, or a link to the information, in a database based on the collected air quality measurements, the database including a contextual representation of the plurality of spaces of the building and perform at least one operation using the information based on the air quality measurements.

Building data platform with air quality analysis based on mobile air quality sensors

A controller for heating, ventilation, or air conditioning (HVAC) equipment operable to affect an environmental condition of a building is configured to obtain predictive models that predict values of an energy control objective and an air quality control objective as a function of control decision variables for the HVAC equipment. The controller executes a multi-objective optimization process using the predictive models to produce multiple sets of optimization results corresponding to different values of the control decision variables, the energy control objective, and the air quality control objective. The controller selects one or more of the sets of optimization results based on the values of the energy control objective and the air quality control objective. The controller operates the HVAC equipment to affect the environmental condition of the building in accordance with the values of the control decision variables corresponding to a selected set of the optimization results.

Building HVAC system with multi-objective optimization control

Systems and methods for reducing health risks with respect to an infectious disease in buildings. Health data for an infectious diseases is used to determine a health risk level for building spaces and individuals in the building. An air handling action or a disinfection action is performed based on the health risk level.

Air quality control and disinfection system

A method for controlling building equipment includes generating building data relating to conditions in a building space using a generative artificial intelligence model. The method also includes determining whether the building data correspond to conditions in the building space that comply with one or more regulations or certification standards. The method includes, in response to determining that the building data correspond to conditions in the building space that comply with the one or more regulations or certification standards, using the building data to operate building equipment that serve the building space.

Building system with synthetic data compliance control

A heating, ventilation, or air conditioning system (HVAC) design and operational tool includes one or more processors and memory storing instructions that, when executed by the one or more processors, cause the one or more processors to perform operations including obtaining a dynamic temperature model and a dynamic infectious quanta model for one or more building zones, determining an infection probability, and performing a plurality of simulations for a plurality of different equipment configurations using the dynamic temperature model, the dynamic infectious quanta model, and the infection probability to generate results. The operations include generating, using the results of the plurality of simulations, at least one of design including one or more recommended design parameters data or operational data including one or more recommended operational parameters for the HVAC system and initiating an automated action using at least one of the design data or the operational data.

HVAC system design and operational tool for building infection control

A building system of a building including one or more memory devices storing instructions thereon that, when executed by one or more processors, cause the one or more processors to receive water usage data from one or more network connected water valves, the water usage data indicating water usage by one or more occupants within the building. The instructions cause the one or more processors to derive one or more health metrics indicating physical health of the one or more occupants based on the water usage data and cause one or more pieces of building equipment to perform one or more operations based on values of the one or more health metrics, the one or more operations improving the physical health of the one or more occupants.

Building system with occupant health analysis based on water usage

A variable air volume (VAV) box includes a fan operable to induce airflow from a building space through the VAV box and discharge the airflow back to the building space, an air cleaning device positioned to clean the airflow through the VAV box before discharging the airflow back to the building space and configured to affect an air quality of the airflow, and a controller configured to operate the fan to modulate the airflow through the VAV box to achieve a target air quality for at least one of the airflow discharged from the VAV box or air within the building space.

Variable air volume systems with filtration and air quality control

A heating, ventilation, or air conditioning (HVAC) system for one or more building zones includes airside HVAC equipment that provide air to the one or more building zones and a controller. The controller obtains predictive models to predict values of a first control objective and a second control objective for the one or more building zones as a function of control decision variables for the airside HVAC equipment. The controller performs a Pareto optimization for a time period using the one or more predictive models to determine multiple sets of Pareto optimal values of the control decision variables and corresponding sets of Pareto optimal values of the first control objective and the second control objective for the time period. The controller operates the airside HVAC equipment to provide the air to the one or more building zones in accordance with a selected set of the Pareto optimal values.

HVAC system with building infection control

A controller for heating, ventilation, or air conditioning (HVAC) equipment that is operable to affect an environmental condition of a building is configured to obtain predictive models that predict values of a carbon emissions control objective and another control objective as a function of control decision variables for the HVAC equipment. The controller executes an optimization process using the predictive models to produce sets of optimization results corresponding to different values of the control decision variables, the carbon emissions control objective, and the other control objective. The controller selects from the sets of optimization results based on the values of the carbon emissions control objective and the other control objective. The controller operates the HVAC equipment to affect the environmental condition of the building in accordance with the values of the control decision variables corresponding to a selected set of the optimization results.

HVAC system with sustainability and emissions controls

An energy efficient heat pump for a heating, ventilation, and air conditioning (HVAC) system includes a compressor system configured to direct a working fluid flow along a working fluid circuit of the energy efficient heat pump. The compressor system includes a first compressor configured to direct the working fluid flow in a first direction along the working fluid circuit and a second compressor configured to direct the working fluid flow in a second direction along the working fluid circuit, opposite the first direction. The energy efficient heat pump also includes a controller communicatively coupled to the first compressor and the second compressor, where the controller is configured to operate the first compressor and suspend operation of the second compressor in a cooling mode of the energy efficient heat pump and to operate the second compressor and suspend operation of the first compressor in a heating mode of the energy efficient heat pump.

Energy efficient heat pump systems and methods

A method for providing filtered air to a zone of a building includes operating an air handler to pass unfiltered air through a filter and output filtered air to the zone of the building. The method includes determining an amount of filtered air provided to the zone of the building by the air handler. The method includes determining if additional air filtration is required to satisfy at least one of a desired amount of clean airflow or a desired reduction of a risk of infection. The method includes activating an in-zone filtration device and operating the in-zone filtration device to draw air from the zone into an inner volume, filter the air, and recirculate the filtered air to the zone of the building in response to determining additional air filtration is required.

Systems and methods to mitigate infection risk using air purification

A building system of a building includes an in-zone plume control system located within a zone of the building, the in-zone plume control system including one or more return air inlets comprising openings to receive one or more air plumes generated by one or more users. The in-zone plume control system includes one or more exhaust outlets configured to exhaust the one or more air plumes, a filter, and a fan configured to draw the one or more air plumes in through the one or more return air inlets, through the filter, and out through the one or more exhaust outlets back into the zone, wherein the filter is configured to filter the one or more air plumes to remove particles from the one or more air plumes before returning the one or more air plumes to the zone.

Building system with an in-zone plume control system

A building system for a building including one or more storage devices storing instructions thereon that, when executed by one or more processors, cause the one or more processors to operate one or more pieces of building equipment associated with a building space based on a first operating mode. The instructions cause the one or more processors to receive an indication to update operation of the building space based on an emergency situation and responsive to receiving the indication to update operation of the building space based on the emergency situation, operate the one or more pieces of building equipment based on a second operating mode, wherein the second operating mode defines one or more second parameters for the one or more pieces of building equipment and is adapted to reconfigure the operation of the building space to address or mitigate the emergency situation.

Building system with flexible facility operation

A heating, ventilation, or air conditioning (HVAC) system for one or more building zones includes airside HVAC equipment operable to provide clean air to the one or more building zones and a controller. The controller is configured to obtain a dynamic temperature model and a dynamic infectious quanta model for the one or more building zones, determine an infection probability, and generate control decisions for the airside HVAC equipment using the dynamic temperature model, the dynamic infectious quanta model, and the infection probability.

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Mequon, WI, United States of America

Jonathan D Douglas