# US 2025/0144553 A1 · Systems and methods for filtration maintenance and operation > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2025/0144553 A1 - Document ID: US20250144553A1 - Status: Published application - Kind: A1 - Application number: 18/913,019 - Filed: 2024-10-11 - Published: 2025-05-08 - Earliest claimed: 2023-11-03 - Assignees: Research Products Corporation - Applicants: Research Products Corporation - Inventors: Jatin Khanpara; Goulian Wu; Gerald McNerney; Travis J. Blackburn - Web page: https://patentgrep.com/patent/US20250144553A1 ## CPC - B01D 46/0086: {Filter condition indicators} - F24F 11/39: Monitoring filter performance - G01N 15/06: Investigating concentration of particle suspensions (by weighing G01N5/00; investigating sedimentation of particle suspensions G01N15/04; investigating individual particles G01N15/10) - G01N 15/08: Investigating permeability, pore-volume, or surface area of porous materials - G01N 15/14: Optical investigation techniques, e.g. flow cytometry - B01D 2279/50: for air conditioning - F24F 2110/64: Airborne particle content - G01N 2015/0046: {in gas, e.g. smoke} - G01N 2015/084: {Testing filters} - G01N 2015/1486: {Counting the particles} - B01D: SEPARATION (separating solids from solids by wet methods B03B, B03D; by pneumatic jigs or tables B03B; by other dry methods B07; magnetic or electrostatic separation of solid materials from solid materials or fluids, separation by high-voltage electric fields B03C; centrifuges, vortex apparatus B04; presses per se for squeezing-out liquid from liquid-containing material B30B9/02; treatment of water C02F, e.g. softening by ion-exchange C02F1/42; {arrangements of air intake cleaners in gas turbine plants F02C7/05} ; arrangements or mounting of filters in air-conditioning, air-humidification or ventilation F24F13/28) - F24F: AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING (removing dirt or fumes from areas where they are produced B08B15/00; vertical ducts for carrying away waste gases from buildings E04F17/02; tops for chimneys or ventilating shafts, terminals for flues F23L17/02) - G01N: INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES (measuring or testing apparatus or processes other than immunoassay, involving enzymes or microorganisms C12M, C12Q) ## Abstract 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. ## Claims ### Claim 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. ### Claim 2 (depends on 1) The system of claim 1, wherein the second measure of particulate matter is determined based on predicted weather data. ### Claim 3 (depends on 1) 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. ### Claim 4 (depends on 1) 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. ### Claim 5 (depends on 1) 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. ### Claim 6 (depends on 1) 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. ### Claim 7 (depends on 6) 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. ### Claim 8 (depends on 1) The system of claim 1, wherein the occupant data comprises a number of occupants of the structure. ### Claim 9 (depends on 1) 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. ### Claim 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. ### Claim 11 (depends on 10) The method of claim 10, wherein the second measure of particulate matter is determined based on predicted weather data. ### Claim 12 (depends on 10) 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. ### Claim 13 (depends on 10) 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. ### Claim 14 (depends on 10) 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. ### Claim 15 (depends on 10) 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. ### Claim 16 (depends on 15) 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. ### Claim 17 (depends on 10) The method of claim 10, wherein the occupant data comprises a number of occupants of the structure. ### Claim 18 (depends on 10) 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. ### Claim 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. ### Claim 20 (depends on 1) 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.