BUILDING SYSTEM WITH OCCUPANT-SPECIFIC AIR CLEANLINESS CONTROL

1 . A method executable by a building management system for controlling air cleanliness in a building space, the method comprising:

predicting an occupancy of the building space during a future time period;

identifying an occupant predicted to occupy the building space during the future time period based on the predicted occupancy;

obtaining an occupant-specific air cleanliness requirement for the identified occupant;

using a predictive air cleanliness model for the building space and the occupant-specific air cleanliness requirement to generate control parameters for building equipment that operate to affect the air cleanliness in the building space; and

operating the building equipment using the control parameters to affect the air cleanliness in the building space during the future time period.

2 . The method of claim 1 , wherein predicting the occupancy of the building space comprises:

monitoring locations of occupants in one or more building spaces during a previous time period; and

using an occupancy prediction model to predict the occupancy of the building space during the future time period based on the locations of the occupants within the one or more building spaces during the previous time period.

3 . The method of claim 2 , wherein monitoring the locations of the occupants in the one or more building spaces during the previous time period comprises:

tracking location history of the occupants based on at least one of electronic communications, user device data, or detected locations of the occupants in the one or more building spaces during the previous time period;

generating a location pattern of the occupants based on the location history of the occupants in the one or more building spaces during the previous time period;

storing the location pattern of the occupants in building space data; and

providing the location pattern of the occupants to the occupancy prediction model to train the occupancy prediction model.

4 . The method of claim 2 , further comprising generating a report for the locations of the occupants within the one or more building spaces based on the locations of the occupants in the one or more building spaces during the previous time period.

5 . The method of claim 1 , wherein identifying the occupant predicted to occupy the building space during the future time period comprises:

obtaining, from the occupancy prediction model, an indication of a plurality of individual occupants predicted to occupy the building space during the future time period;

selecting the occupant from the plurality of individual occupants; and

determining an identity of the occupant using occupant-specific identity information associated with the occupant.

6 . The method of claim 1 , further comprising:

predicting that the occupant will leave the building space at an end of the future time period;

identifying a second occupant predicted to occupy the building space during a second time period after the future time period; and

using a second occupant-specific air cleanliness requirement for the second occupant to operate the building equipment to affect the air cleanliness in the building space during the second time period.

7 . The method of claim 1 , further comprising:

accessing a profile of the occupant comprising an occupant-specific value of an attribute associated with the occupant separate from the occupant-specific air cleanliness requirement;

determining the occupant-specific air cleanliness requirement based on the occupant-specific value of the attribute; and

storing the occupant-specific air cleanliness requirement as a new attribute in the profile of the occupant.

8 . The method of claim 7 , wherein determining the occupant-specific air cleanliness requirement comprises using a stored relationship between the attribute associated with the occupant and the occupant-specific air cleanliness requirement to generate a value of the occupant-specific air cleanliness requirement based on the value of the attribute associated with the occupant.

9 . The method of claim 1 , further comprising,

identifying a plurality of occupants predicted to occupy the building space during the future time period based on the predicted occupancy;

obtaining a plurality of occupant-specific air cleanliness requirements for the plurality of occupants; and

using the predictive air cleanliness model and the plurality of occupant-specific air cleanliness requirements to generate the control parameters for the building equipment.

11 . The method of claim 1 , wherein using the predictive air cleanliness model for the building space and the occupant-specific air cleanliness requirement to generate the control parameters for the building equipment that operate to affect the air cleanliness in the building space comprises:

determining a group air cleanliness requirement sufficient to satisfy each of the plurality of occupant-specific air cleanliness requirements; and

generating the control parameters for the building equipment using the group air cleanliness requirement.

12 . A method for controlling air cleanliness in a building space, by a building management system, the method comprising:

determining an occupancy of the building space during a time period;

identifying an occupant of the building space during the time period based on the occupancy;

generating control parameters for building equipment that operate to affect the air cleanliness in the building space based on an occupant-specific air cleanliness requirement for the identified occupant; and

operating the building equipment using the control parameters to affect the air cleanliness in the building space during the time period.

13 . The method of claim 12 , wherein identifying the occupant of the building space during the time period based on the occupancy comprises detecting a current occupant of the building space.

14 . The method of claim 12 , wherein generating the control parameters for the building equipment that operate to affect the air cleanliness in the building space based on the occupant-specific air cleanliness requirement for the identified occupant comprises;

identifying a plurality of occupants to occupy the building space during the time period based on the current occupancy;

obtaining a plurality of occupant-specific air cleanliness requirements for the plurality of occupants; and

determining a group air cleanliness requirement sufficient to satisfy each of the plurality of occupant-specific air cleanliness requirements.

15 . The method of claim 12 , further comprising:

monitoring sensors within building spaces of occupants during the time period;

obtaining an air cleanliness measurement from the sensors within the building space during a time period;

generating reports for air cleanliness for the occupants within the building space during the time period; and

providing the reports to occupant data in a plurality of occupant data for the occupants of the building space during the time period.

16 . A building management system comprising:

one or more processors and one or more non-transitory computer-readable media storing instructions that, when executed by the one or more processors, cause the one or more processors to perform operations comprising:

predicting an occupancy of the building space during a future time period;

identifying an occupant predicted to occupy the building space during the future time period based on the predicted occupancy;

obtaining an occupant-specific air cleanliness requirement for the identified occupant;

using a predictive air cleanliness model for the building space and the occupant-specific air cleanliness requirement to generate control parameters for building equipment that operate to affect the air cleanliness in the building space; and

operating the building equipment using the control parameters to affect the air cleanliness in the building space during the future time period.

17 . The building management system of claim 16 , the operations further comprising:

monitoring locations of occupants in one or more building spaces during a previous time period; and

using an occupancy prediction model to predict the occupancy of the building space during the future time period based on the locations of the occupants within the one or more building spaces during the previous time period.

18 . The building management system of claim 16 , to the operations further comprising:

predicting that the occupant will leave the building space at an end of the future time period;

identifying a second occupant predicted to occupy the building space during a second time period after the future time period; and

using a second occupant-specific air cleanliness requirement for the second occupant to operate the building equipment to affect the air cleanliness in the building space during the second time period.

19 . The building management system of claim 16 , to the operations further comprising:

accessing a profile of the occupant comprising an occupant-specific value of an attribute associated with the occupant separate from the occupant-specific air cleanliness requirement;

determining the occupant-specific air cleanliness requirement based on the occupant-specific value of the attribute; and

storing the occupant-specific air cleanliness requirement as a new attribute in the profile of the occupant.

20 . The building management of claim 17 , wherein monitoring the locations of the occupants in the one or more building spaces during the previous time period comprises:

tracking location history of the occupants based on at least one of electronic communications, user device data, or detected locations of the occupants in the one or more building spaces during the previous time period;

generating a location pattern of the occupants based on the location history of the occupants in the one or more building spaces during the previous time period;

storing the location pattern of the occupants in building space data; and

providing the location pattern of the occupants to the occupancy prediction model to train the occupancy prediction model.