Prosecution Insights
Last updated: August 17, 2026
Application No. 18/674,955

METHODS AND SYSTEMS FOR DETERMINING FINANCIAL LOSSES IN HEATING, VENTILATION, AND AIR CONDITIONING (HVAC) SYSTEM

Non-Final OA §102
Filed
May 27, 2024
Examiner
LE, THIEN MINH
Art Unit
Tech Center
Assignee
Honeywell International Inc.
OA Round
1 (Non-Final)
88%
Grant Probability
Favorable
1-2
OA Rounds
0m
Est. Remaining
96%
With Interview

Examiner Intelligence

Grants 88% — above average
88%
Career Allowance Rate
1299 granted / 1470 resolved
+28.4% vs TC avg
Moderate +8% lift
Without
With
+7.8%
Interview Lift
resolved cases with interview
Fast prosecutor
2y 1m
Avg Prosecution
25 currently pending
Career history
1487
Total Applications
across all art units

Statute-Specific Performance

§101
2.1%
-37.9% vs TC avg
§103
33.2%
-6.8% vs TC avg
§102
40.6%
+0.6% vs TC avg
§112
5.3%
-34.7% vs TC avg
Black line = Tech Center average estimate • Based on career data from 1470 resolved cases

Office Action

§102
DETAILED ACTION Notice of Pre-AIA or AIA Status The present application, filed on or after March 16, 2013, is being examined under the first inventor to file provisions of the AIA . The information disclosure statement filed on 7/7/2026 has been entered. Claims 1-20 are presented for examination. Claim Rejections - 35 USC § 102 In the event the determination of the status of the application as subject to AIA 35 U.S.C. 102 and 103 (or as subject to pre-AIA 35 U.S.C. 102 and 103) is incorrect, any correction of the statutory basis (i.e., changing from AIA to pre-AIA ) for the rejection will not be considered a new ground of rejection if the prior art relied upon, and the rationale supporting the rejection, would be the same under either status. The following is a quotation of the appropriate paragraphs of 35 U.S.C. 102 that form the basis for the rejections under this section made in this Office action: A person shall be entitled to a patent unless – (a)(1) the claimed invention was patented, described in a printed publication, or in public use, on sale, or otherwise available to the public before the effective filing date of the claimed invention. (a)(2) the claimed invention was described in a patent issued under section 151, or in an application for patent published or deemed published under section 122(b), in which the patent or application, as the case may be, names another inventor and was effectively filed before the effective filing date of the claimed invention. Claims 1-5, 8-14 and 17-20 are rejected under 35 U.S.C. 102 (a) (1) as being anticipated by Santarone et al (Santarone et al. – 2019/0050502; herin after referred to as “Santarone”). Regarding claims 1, 10 and 19, Santorone discloses a method comprising (Santarone; par. 0133 - In some embodiments, a fourth dimension in addition to the three spatial dimensions will include date and time and allow for an historical view of a life of a structure to be presented in the virtual model. Accordingly, in some embodiments, onsite cameras and/or Sensors may be deployed and data may be gathered from the on-site cameras and Sensors either periodically or upon command. Data gathered may be incorporated into the improved virtual model): receiving, via at least one processor, a first set of data associated with a plurality of positions of one or more components of a Heating, Ventilation, and Air Conditioning (HVAC) system, from one or more sensors, over a predefined time period (Santarone; par. 0084, 0086, 0159, 0160, 0271; 0084 – “Although data may be gathered in various disparate and/or related ways, an aggregate of data may be quickly and readily accessed via the creation of indexes. Accordingly, indexes may be according to one or more of: date/time stamp; feature; popularity; cost; User-specific query; Plumbing; Electrical; HVAC; Structural aspects; Access areas; Periodic data and position capture with camera/Sensor attached to a fixed position; indexed according to events, such as during construction, during modification, or during Deployment; airflow; HVAC; machinery; traffic flows during use of structure; audible measurements for noise levels; and almost any other aspect of captured data”; par. 0159 – “As Built Features and biometrics may be further utilized to control various structure automation devices. Structure automation devices may include, by way of non-limiting example one or more of: automated locks or other security devices; thermostats, lighting, heating, chemical processing, cutting, molding, laser shaping, 3D printing, assembly, cleaning, packaging and the like.“; automated sensors – for tracking and gathering information) determining, via the at least one processor, a second set of data associated with the plurality of positions of the one or more components of the HVAC system, based at least on a predefined width constant (K), in the predefined time period (Santarone; par. 0084, 0086, 0159, 0160, 0271; 0084 – “Although data may be gathered in various disparate and/or related ways, an aggregate of data may be quickly and readily accessed via the creation of indexes. Accordingly, indexes may be according to one or more of: date/time stamp; feature; popularity; cost; User-specific query; Plumbing; Electrical; HVAC; Structural aspects; Access areas; Periodic data and position capture with camera/Sensor attached to a fixed position; indexed according to events, such as during construction, during modification, or during Deployment; airflow; HVAC; machinery; traffic flows during use of structure; audible measurements for noise levels; and almost any other aspect of captured data”; par. 0159 – “As Built Features and biometrics may be further utilized to control various structure automation devices. Structure automation devices may include, by way of non-limiting example one or more of: automated locks or other security devices; thermostats, lighting, heating, chemical processing, cutting, molding, laser shaping, 3D printing, assembly, cleaning, packaging and the like.“; automated sensors – for tracking and gathering information; par. 0358 – “According to the present invention, a smart device may be placed into a case, such as a smart receptacle 1302 that includes two or more wireless position devices 1303-1310. The wireless position devices 1303-1310 may include, for example, one or both of: a receiver and a transmitter, in logical communication with an antenna configured to communicate with reference transceivers 1311-1314. Communications relevant to location determination may include, for example, one or more of: timing signals; SIM information; received signal strength; GPS data; raw radio measurements; Cell-ID; round trip time of a signal; phase; and angle of received/transmitted signal; time of arrival of a signal; a time difference of arrival; and other data useful in determining a location”; par. 0375 – “ In exemplary embodiments, as described herein, the distances may be triangulated based on measurements of WiFi strength at two points. WiFi signal propagates outward as a wave, ideally according to an inverse square law. Ultimately, the crucial feature of the present invention relies on measuring relative distances at two points. In light of the speed of WiFi waves and real-time computations involved in orienteering, these computations need to be as computationally simple as possible. Thus, depending upon the specific application and means for taking the measurements, various coordinate systems may be desirable. In particular, if the smart device moves only in a planar direction while the elevation is constant, or only at an angle relative to the ground, the computation will be simpler” ; par. 0306 – “In some embodiments, the present invention includes a method of tracking attainment of a stated Performance Level relating to a Structure, including: a) determining a geographic position of a Structure via a global positioning system device in a smart device proximate to the Structure; b) identifying a digital model of the Structure based upon the geographic position of the Structure, the digital model comprising virtual representation of structural components included in the Structure; c) referencing multiple positioning reference devices within the Structure; d) measuring a distance to at least three of the multiple positioning reference devices from a point of measurement; e) calculating a position within the Structure, the calculation based upon a relative distance of the at least three positioning reference devices to the point of measurement and a triangulation calculation; f) calculating an elevation of the point of measurement; g) measuring a first state within the Structure with a sensor; h) specifying a location of the first state within the Structure via reference to the position of the point of measurement and the elevation of the point of measurement; i) recording a first time designation for the step of measuring a first state within the Structure with a sensor; and i) correlating the first state within the Structure and the first time designation attainment of the stated Performance Level”); determining, via the at least one processor, at least one real travel distance (Sr) associated with the plurality of positions of the one or more components of the HVAC system in the predefined time period based at least on the first set of data (Santarone; par. 0084, 0086, 0159, 0160, 0271; 0084 – “Although data may be gathered in various disparate and/or related ways, an aggregate of data may be quickly and readily accessed via the creation of indexes. Accordingly, indexes may be according to one or more of: date/time stamp; feature; popularity; cost; User-specific query; Plumbing; Electrical; HVAC; Structural aspects; Access areas; Periodic data and position capture with camera/Sensor attached to a fixed position; indexed according to events, such as during construction, during modification, or during Deployment; airflow; HVAC; machinery; traffic flows during use of structure; audible measurements for noise levels; and almost any other aspect of captured data”; par. 0159 – “As Built Features and biometrics may be further utilized to control various structure automation devices. Structure automation devices may include, by way of non-limiting example one or more of: automated locks or other security devices; thermostats, lighting, heating, chemical processing, cutting, molding, laser shaping, 3D printing, assembly, cleaning, packaging and the like.“; automated sensors – for tracking and gathering information; par. 0358 – “According to the present invention, a smart device may be placed into a case, such as a smart receptacle 1302 that includes two or more wireless position devices 1303-1310. The wireless position devices 1303-1310 may include, for example, one or both of: a receiver and a transmitter, in logical communication with an antenna configured to communicate with reference transceivers 1311-1314. Communications relevant to location determination may include, for example, one or more of: timing signals; SIM information; received signal strength; GPS data; raw radio measurements; Cell-ID; round trip time of a signal; phase; and angle of received/transmitted signal; time of arrival of a signal; a time difference of arrival; and other data useful in determining a location”; par. 0375 – “ In exemplary embodiments, as described herein, the distances may be triangulated based on measurements of WiFi strength at two points. WiFi signal propagates outward as a wave, ideally according to an inverse square law. Ultimately, the crucial feature of the present invention relies on measuring relative distances at two points. In light of the speed of WiFi waves and real-time computations involved in orienteering, these computations need to be as computationally simple as possible. Thus, depending upon the specific application and means for taking the measurements, various coordinate systems may be desirable. In particular, if the smart device moves only in a planar direction while the elevation is constant, or only at an angle relative to the ground, the computation will be simpler” ; par. 0306 – “In some embodiments, the present invention includes a method of tracking attainment of a stated Performance Level relating to a Structure, including: a) determining a geographic position of a Structure via a global positioning system device in a smart device proximate to the Structure; b) identifying a digital model of the Structure based upon the geographic position of the Structure, the digital model comprising virtual representation of structural components included in the Structure; c) referencing multiple positioning reference devices within the Structure; d) measuring a distance to at least three of the multiple positioning reference devices from a point of measurement; e) calculating a position within the Structure, the calculation based upon a relative distance of the at least three positioning reference devices to the point of measurement and a triangulation calculation; f) calculating an elevation of the point of measurement; g) measuring a first state within the Structure with a sensor; h) specifying a location of the first state within the Structure via reference to the position of the point of measurement and the elevation of the point of measurement; i) recording a first time designation for the step of measuring a first state within the Structure with a sensor; and i) correlating the first state within the Structure and the first time designation attainment of the stated Performance Level”); determining, via the at least one processor, at least one baseline travel distance (Sb) associated with the plurality of positions of the one or more components of the HVAC system in the predefined time period based at least on the second set of data ; and determining, via the at least one processor, one or more Key Performance Indicator (KPI) values of the one or more components for the predefined time period based at least on the determined Sr and Sb (Santarone; par. 0066, 0306, 0307, 0321, 0324 – measuring distance; par. 0277 – monitoring various KPIs for an HVAC system). Regarding claims 2, 11 and 29, Santarone discloses the method of claim 1, wherein the first set of data corresponds to a time series of historical data associated with the plurality of positions of the one or more components of the HVAC system (Santarone; par. 0084 – “ In some embodiments, a fourth dimension in addition to the three spatial dimensions will include date and time and allow for an historical view of a life of a structure to be presented in the virtual model. Accordingly, in some embodiments, onsite cameras and/or Sensors may be deployed and data may be gathered from the on-site cameras and Sensors either periodically or upon command. Data gathered may be incorporated into the improved virtual model”). Regarding claims 3 and 12, Santarone discloses the method of claim 1, wherein the second set of data corresponds to a baseline time series data associated with the plurality of positions of the one or more components of the HVAC system. (Santarone; par. 0087 – “Although data may be gathered in various disparate and/or related ways, an aggregate of data may be quickly and readily accessed via the creation of indexes. Accordingly, indexes may be according to one or more of: date/time stamp; feature; popularity; cost; User specific query; Plumbing; Electrical; HVAC; Structural aspects; Access areas; Periodic data and position capture with camera/Sensor attached to a fixed position; during construction; during modification; during Deployment; airflow; HVAC; machinery; traffic flows during use of structure; audible measurements for noise levels; and almost any other aspect of captured data”). Regarding claims 4 and 13, Santarone discloses the method of claim 1, wherein the one or more sensors comprises at least one of limit switch sensors, potentiometers, encoders, hall effect sensors, proximity sensors, ultrasonic sensors, optical sensor, linear variable differential transformer (LVDT) sensors, and pressure sensors (Santarone; 0151 – “ Built design features and vibration sensors may track activities in a structure and determine that a first occupant associated with a first vibration pattern of walking is in the structure. Recorded vibration patterns may indicate that person one is walking down a hallway and automatically turn on appropriated lighting and adjust one or more of: temperature, sound and security. Security may include locking doors for which person one is not programmed to access. For example, a first pattern of vibration may be used to automatically ascertain that a person is traversing an area of a structure for which a high level of security is required or an area that is designated for limited access due to safety concerns. As Built data has been collected. Other structure automation may be similarly deployed according to As Built data, occupant profiles, biometric data, time of day, or other combination of available sensor readings”; par. 0259 – “Sensors may be deployed and data may be gathered from the on-site cameras and Sensors either periodically or upon command. Data gathered may be incorporated into the improved virtual model”). Regarding claims 5 and 14, Santarone discloses the method of claim 1, wherein the predefined time period corresponds to a monitored time period comprising at least one of hours, days, months, quarters, or years in which the first set of data is received and the second set of data is determined (Santarone; 0151 – “ Built design features and vibration sensors may track activities in a structure and determine that a first occupant associated with a first vibration pattern of walking is in the structure. Recorded vibration patterns may indicate that person one is walking down a hallway and automatically turn on appropriated lighting and adjust one or more of: temperature, sound and security. Security may include locking doors for which person one is not programmed to access. For example, a first pattern of vibration may be used to automatically ascertain that a person is traversing an area of a structure for which a high level of security is required or an area that is designated for limited access due to safety concerns. As Built data has been collected. Other structure automation may be similarly deployed according to As Built data, occupant profiles, biometric data, time of day, or other combination of available sensor readings”; par. 0259 – “Sensors may be deployed and data may be gathered from the on-site cameras and Sensors either periodically or upon command. Data gathered may be incorporated into the improved virtual model”). Regarding claims 8 and 17, Santarone disclose the method of claim 1, wherein the one or more KPI values corresponds to lifespan loss and energy loss in percentage related to estimated lifespan and consumed energy during a nominal operation of the one or more components of the HVAC system in the predefined time period (Santarone; par. 0165 – time factors associated with a physical built may be estimated , measured; par. 0020, 0085, 0170 – data relating services of electrical wiring and components are modified, updated during the life of a structure, allow for a view of a life structure; par. 0170 - “The AVM may model and present alternatives including one or more of: cost versus efficiency, quality 240, time to build, life expectancy, market valuation over time. A cost to build may be correlated with cost to deploy and eventual resale”). Regarding claims 9 and 18, Santarone discloses the method of claim 1, wherein the one or more components comprises at least one of a valve, and an air damper of the HVAC system (Santarone; 0151 – automatically turn on, adjust one or more of temperature, sound, security implies the use of a valve). Allowable Subject Matter Claims 6-7 and 15-16 are objected to as being dependent upon a rejected base claim, but would be allowable if rewritten in independent form including all of the limitations of the base claim and any intervening claims. The following is a statement of reasons for the indication of allowable subject matter: i. The prior fails to disclose the method of claim 1, wherein the predefined width constant (K) defines a width of a centered weighted moving average window technique and having the features and characteristics as recited as recited in claims 6 and 15. ii. The prior art fails to disclose the method of claim 1, wherein the at least one real travel distance (Sr) and the at least one baseline travel distance (Sb) correspond to a sum of absolute values of changes in the plurality of positions as recited in claims 7 and 16. Conclusion Any inquiry concerning this communication or earlier communications from the examiner should be directed to THIEN MINH LE whose telephone number is (571)272-2396. The examiner can normally be reached 6:30-5:00 PM M-Th.. Examiner interviews are available via telephone, in-person, and video conferencing using a USPTO supplied web-based collaboration tool. To schedule an interview, applicant is encouraged to use the USPTO Automated Interview Request (AIR) at http://www.uspto.gov/interviewpractice. If attempts to reach the examiner by telephone are unsuccessful, the examiner’s supervisor, Steven Paik can be reached at 571-272-2404. The fax phone number for the organization where this application or proceeding is assigned is 571-273-8300. Information regarding the status of published or unpublished applications may be obtained from Patent Center. Unpublished application information in Patent Center is available to registered users. To file and manage patent submissions in Patent Center, visit: https://patentcenter.uspto.gov. Visit https://www.uspto.gov/patents/apply/patent-center for more information about Patent Center and https://www.uspto.gov/patents/docx for information about filing in DOCX format. For additional questions, contact the Electronic Business Center (EBC) at 866-217-9197 (toll-free). If you would like assistance from a USPTO Customer Service Representative, call 800-786-9199 (IN USA OR CANADA) or 571-272-1000. /THIEN M LE/Primary Examiner, Art Unit 2876
Read full office action

Prosecution Timeline

May 27, 2024
Application Filed
Jul 16, 2026
Non-Final Rejection mailed — §102 (current)

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Prosecution Projections

1-2
Expected OA Rounds
88%
Grant Probability
96%
With Interview (+7.8%)
2y 1m (~0m remaining)
Median Time to Grant
Low
PTA Risk
Based on 1470 resolved cases by this examiner. Grant probability derived from career allowance rate.

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