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公开(公告)号:US11131473B2
公开(公告)日:2021-09-28
申请号:US16927766
申请日:2020-07-13
Applicant: Johnson Controls Technology Company
Inventor: Michael J. Risbeck , Kirk H. Drees , Jonathan D. Douglas
IPC: F24F11/47 , F24F11/52 , F24F8/10 , G06F30/20 , G05B15/02 , G05B19/04 , F24F11/64 , F24F140/60 , F24F110/10 , F24F110/20 , F24F120/20 , F24F8/22
Abstract: 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.
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公开(公告)号:US11098920B2
公开(公告)日:2021-08-24
申请号:US16927766
申请日:2020-07-13
Applicant: Johnson Controls Technology Company
Inventor: Michael J. Risbeck , Kirk H. Drees , Jonathan D. Douglas
IPC: F24F11/47 , F24F11/52 , F24F8/10 , G06F30/20 , G05B15/02 , G05B19/04 , F24F11/64 , F24F140/60 , F24F110/10 , F24F110/20 , F24F120/20 , F24F8/22
Abstract: 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.
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公开(公告)号:US20210010701A1
公开(公告)日:2021-01-14
申请号:US16927318
申请日:2020-07-13
Applicant: Johnson Controls Technology Company
Inventor: Clay G. Nesler , Kirk H. Drees , Matthew J. Deloge , Jonathan D. Douglas , Timothy C. Gamroth , Michael J. Wenzel , Robert D. Turney , Mohammad N. ElBsat , Joseph F. Mann , Matthew J. Ellis , Serdar Suindykov , James Burke , Thomas M. Seneczko , David S. Eidson , Ganesh Kalpundi , Renee Clair , Anza D'Antonio , Mark L. Ziolkowski
Abstract: 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.
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公开(公告)号:US20210011444A1
公开(公告)日:2021-01-14
申请号:US16927759
申请日:2020-07-13
Applicant: Johnson Controls Technology Company
Inventor: Michael J. RISBECK , Kirk H. Drees , Jonathan D. Douglas
IPC: G05B19/042 , F24F11/70
Abstract: 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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公开(公告)号:US20200348038A1
公开(公告)日:2020-11-05
申请号:US16927766
申请日:2020-07-13
Applicant: Johnson Controls Technology Company
Inventor: Michael J. RISBECK , Kirk H. Drees , Jonathan D. Douglas
Abstract: 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.
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公开(公告)号:US11269306B2
公开(公告)日:2022-03-08
申请号:US16927759
申请日:2020-07-13
Applicant: Johnson Controls Technology Company
Inventor: Michael J. Risbeck , Kirk H. Drees , Jonathan D. Douglas
IPC: G05B21/00 , G01M1/38 , G05B13/00 , G05B15/00 , G05D23/00 , G05B19/042 , F24F11/70 , F24F11/47 , F24F11/64 , F24F11/52 , F24F8/10 , F24F110/20 , F24F140/60 , F24F120/20 , F24F110/10 , G06F30/20 , F24F8/22 , G05B15/02 , G05B19/04
Abstract: 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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