HVAC filter monitoring

• US 9,092,040 B2
• Filed: 01/10/2011
• Issued: 07/28/2015
• Est. Priority Date: 11/19/2010
• Status: Active Grant

• Current Assignee: Google LLC (Alphabet Inc.)
• Original Assignee: Google Inc. (Alphabet Inc.)
• Inventors: Fadell, Anthony Michael, Matsuoka, Yoky, Rogers, Matthew Lee, Sloo, David
• Primary Examiner(s): Barbee, Manuel L
• Application Number:
  US12/987,257
• Publication Number:
  US 20120125592A1
• Time in Patent Office: 1,660 Days
• Field of Search: 702/185
• US Class Current: 1/1
• CPC Class Codes: B01D 46/0086 Filter condition indicators
• CPC Class Codes: F24F 11/30 for purposes related to the operation of the system, e.g. for safety or monitoring
• CPC Class Codes: F24F 11/32 Responding to malfunctions or emergencies
• CPC Class Codes: F24F 11/39 Monitoring filter performance
• CPC Class Codes: F24F 11/46 Improving electric energy efficiency or saving
• CPC Class Codes: F24F 11/47 Responding to energy costs
• CPC Class Codes: F24F 11/52 Indication arrangements, e.g. displays
• CPC Class Codes: F24F 11/56 Remote control
• CPC Class Codes: F24F 11/58 using Internet communication
• CPC Class Codes: F24F 11/61 using timers
• CPC Class Codes: F24F 11/62 characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
• CPC Class Codes: F24F 11/63 Electronic processing
• CPC Class Codes: F24F 11/64 using pre-stored data
• CPC Class Codes: F24F 11/89 Arrangement or mounting of control or safety devices
• CPC Class Codes: F24F 2110/00 Control inputs relating to air properties
• CPC Class Codes: F24F 2110/10 Temperature
• CPC Class Codes: F24F 2120/10 Occupancy
• CPC Class Codes: F24F 2120/20 Feedback from users
• CPC Class Codes: F24F 2130/40 Noise
• CPC Class Codes: F24F 2140/00 Control inputs relating to system states
• CPC Class Codes: F24F 2140/60 : Energy consumption
• CPC Class Codes: G05B 13/0265 : the criterion being a learning criterion
• CPC Class Codes: G05B 15/02 : electric
• CPC Class Codes: G05D 23/19 : characterised by the use of electric means G05D23/1393 takes precedence
• CPC Class Codes: G05D 23/1902 : characterised by the use of a variable reference value
• CPC Class Codes: G05D 23/1917 : using digital means
• CPC Class Codes: H01R 9/2416 : Means for guiding or retaining wires or cables connected to terminal blocks
• CPC Class Codes: H04W 4/70 : Services for machine-to-machine communication [M2M] or machine type communication [MTC]
• CPC Class Codes: Y02B 10/20 : Solar thermal
• CPC Class Codes: Y02B 10/70 : Hybrid systems, e.g. uninterruptible or back-up power supplies integrating renewable energies
• CPC Class Codes: Y02D 30/70 : in wireless communication networks
• CPC Class Codes: Y10T 29/49826 : Assembling or joining

Abstract

A method is described for identifying faults relating to an HVAC system, such a clogged filter. Sensor data is used to estimate HVAC system efficiency. Trends in system efficiency are then used to identify faults such as clogged filters. The sensor(s) can include one or more of the following types: optical sensor, temperature sensor, pressure sensor, acoustic transducer, humidity sensor, resistive sensor, capacitive sensor, and infrared sensor. The efficiency estimation can also be based on conditions external to the building, such as data from exterior sensors and/or data gathered from third parties such as government or private weather stations. The efficiency estimation can also be based on performance metrics such as the time used to reach a set point temperature. The fault identification includes filtering out non-fault related events.

Claims

1. A computer-implemented method, comprising:

estimating a performance of an HVAC system, wherein estimating includes using data received from one or more sensors of the HVAC system;

determining an efficiency of an air filter of the HVAC system using the estimated performance of the HVAC system, wherein the efficiency of the air filter is less than the efficiency of a new air filter;

estimating a time to reach a setpoint temperature based on the efficiency of the air filter;

estimating a cost associated with the efficiency of the air filter based on the time to reach the setpoint temperature;

generating a visual icon for a display on an electronic display of a thermostat device, wherein the visual icon provides an indication of the estimated cost associated with the efficiency of the air filter; and

displaying the visual icon on the electronic display of the thermostat device.

2. The method of claim 1, wherein the visual icon further provides an indication of whether the air filter needs to be changed.

3. The method of claim 1, wherein displaying the visual icon on the electronic display includes displaying a plurality of tick marks in a tick mark range area of the electronic display, wherein a number of tick marks displayed corresponds with the efficiency of the air filter, and wherein fewer tick marks indicate a lower air filter efficiency.

4. The method of claim 3, further comprising:

displaying a numerical value associated with the efficiency of the air filter, wherein the numerical value displayed corresponds to the number of tick marks displayed.

5. The method of claim 4, wherein the numerical value is a percentage value of the air filter efficiency.

6. The method of claim 4, further comprising:

performing an additional estimate of the performance of an HVAC system;

determining that the efficiency of the air filter has decreased; and

updating the display of the visual icon to display fewer tick marks and an updated numerical value that each correspond with the decrease in efficiency of the air filter.

7. The method of claim 1, further comprising:

determining that the efficiency of the air filter is sufficiently low such that the air filter needs to be changed; and

displaying an additional icon on the electronic display of the thermostat device to indicate that the air filter needs to be changed.

8. The method of claim 1, further comprising:

displaying the visual icon on the electronic display in response to received input requesting the efficiency of the air filter, or in response to a determination that the efficiency of the air filter has dropped below a predetermined threshold.

9. The method of claim 1, wherein the one or more sensors include optical sensors, temperature sensors, pressure sensors, acoustic transducers, humidity sensors, resistive sensors, capacitive sensors, or infrared sensors.

10. The method of claim 1, wherein determining the efficiency of the air filter includes comparing an estimated trend of an efficiency of the HVAC system with historical trends of the efficiency of the HVAC system.

11. The method of claim 1, wherein the method is carried out in a thermostat device.

12. The method of claim 1, wherein estimating the performance of the HVAC system includes using conditions external to a building being conditioned by the HVAC system.

13. The method of claim 12, wherein the external conditions include data from one or more sensors located outside the building.

14. The method of claim 12, wherein the external conditions include data gathered from a government agency.

15. The method of claim 12, wherein the external conditions include data gathered from private weather stations.

16. The method of claim 1, wherein estimating the performance of the HVAC system includes using building information gathered from an external database representing characteristics of a building being conditioned by the HVAC system.

17. The method of claim 1, further comprising:

filtering out data that is not related to the efficiency of the air filter by determining that a magnitude of an increase in performance of the HVAC system is sufficiently small.

18. The method of claim 1, wherein at least one of the one or more sensors is located within the air filter of the HVAC system.

19. The method of claim 1, wherein the estimated cost includes an additional energy usage of the HVAC system.

20. The method of claim 1, wherein the estimated cost includes an additional time required to reach the setpoint temperature.