SYSTEMS AND METHODS FOR FILTRATION MAINTENANCE AND OPERATION
A system can determine a first measure of particulate matter generated from particulate sources disposed within a structure based at least in part on occupant data for the structure. The system can determine a second measure of particulate matter generated from an environment comprising particulate sources disposed outside the structure. The system can predict a service life for a filter based at least in part on the first measure of particulate matter, the second measure of particulate matter, and properties of the filter. The system can present an indication of the predicted service life for the filter.
1 . A system for ventilation, the system including one or more processors coupled to memory, the one or more processors configured to:
determine a first measure of particulate matter generated from particulate sources disposed within a structure based at least in part on occupant data for the structure;
determine a second measure of particulate matter generated from an environment comprising particulate sources disposed outside the structure;
predict a service life for a filter based at least in part on the first measure of particulate matter, the second measure of particulate matter, and properties of the filter; and
present an indication of the predicted service life for the filter.
2 . The system of claim 1 , wherein the second measure of particulate matter is determined based on predicted weather data.
3 . The system of claim 1 , wherein the one or more processors are configured to:
adjust a runtime for a fan based on the predicted service life of the filter.
4 . The system of claim 1 , wherein the one or more processors are configured to:
determine the second measure of particulate matter based at least in part on weather data; and
determine a rate of exchange for particulate matter conveyed between the environment and the structure based at least in part on the weather data,
wherein the predicted service life is based on the rate of exchange for particulate matter.
5 . The system of claim 1 , wherein the one or more processors are configured to:
receive an indication corresponding to a change to the particulate sources disposed within the structure;
predict a second service life based on the change to the particulate sources; and
present an indication of the second service life.
6 . The system of claim 1 , wherein at least one of the first measure of particulate matter or the second measure of particulate matter comprises a plurality of particulate matter types.
7 . The system of claim 6 , wherein the plurality of particulate matter types comprises:
an allergen; or
a first particulate matter size; and
a second particulate matter size, different from the first particulate matter size.
8 . The system of claim 1 , wherein the occupant data comprises a number of occupants of the structure.
9 . The system of claim 1 , wherein the second measure of particulate matter comprises an indication of ambient weather for the environment received via a network interface.
10 . A method comprising:
determining, by one or more processors coupled to memory, a first measure of particulate matter generated from particulate sources disposed within a structure based at least in part on occupant data for the structure;
determining, by the one or more processors, a second measure of particulate matter generated from an environment comprising particulate sources disposed outside the structure;
predicting, by the one or more processors, a service life for a filter based at least in part on the first measure of particulate matter, the second measure of particulate matter, and properties of the filter; and
presenting, by the one or more processors, an indication of the predicted service life for the filter.
11 . The method of claim 10 , wherein the second measure of particulate matter is determined based on predicted weather data.
12 . The method of claim 10 , comprising:
adjusting, by the one or more processors, a runtime for a fan based on the predicted service life of the filter.
13 . The method of claim 10 , comprising:
determining, by the one or more processors, the second measure of particulate matter based at least in part on weather data; and
determining, by the one or more processors, a rate of exchange for particulate matter conveyed between the environment and the structure based at least in part on the weather data,
wherein the predicted service life is based on the rate of exchange for particulate matter.
14 . The method of claim 10 , comprising:
receiving, by the one or more processors, an indication corresponding to a change to the particulate sources disposed within the structure;
predict a second service life based on the change to the particulate sources; and
present an indication of the second service life.
15 . The method of claim 10 , wherein at least one of the first measure of particulate matter or the second measure of particulate matter comprises a plurality of particulate matter types.
16 . The method of claim 15 , wherein the plurality of particulate matter types comprises:
an allergen; or
a first particulate matter size; and
a second particulate matter size, different from the first particulate matter size.
17 . The method of claim 10 , wherein the occupant data comprises a number of occupants of the structure.
18 . The method of claim 10 , wherein the second measure of particulate matter comprises an indication of ambient weather for the environment received via a network interface.
19 . A non-transitory computer-readable memory comprising computer-readable instructions stored thereon that, when executed by a processor of a ventilation system, cause the processor to:
determine a first measure of particulate matter generated from particulate sources disposed within a structure based at least in part on occupant data for the structure;
determine a second measure of particulate matter generated from an environment comprising particulate sources disposed outside the structure;
predict a service life for a filter based at least in part on the first measure of particulate matter, the second measure of particulate matter, and properties of the filter; and
present an indication of the predicted service life for the filter.
20 . The system of claim 1 , wherein the instructions comprise instructions to:
adjust a runtime for a fan based on the predicted service life of the filter;
receive an indication corresponding to a change to the particulate sources disposed within the structure;
predict a second service life based on the change to the particulate sources; and
present, via a user interface, an indication of the second service life.