Prosecution Insights
Last updated: August 17, 2026
Application No. 18/387,222

METHOD FOR APPLYING BMC ANALYTICAL LOCAL FAN CONTROL MODEL IN RUGGED ENVIRONMENT

Final Rejection §101§103
Filed
Nov 06, 2023
Priority
Nov 09, 2022 — RE 10-2022-0148300
Examiner
CARTER, CHRISTOPHER W
Art Unit
2117
Tech Center
2100 — Computer Architecture & Software
Assignee
Korea Electronics Technology Institute
OA Round
2 (Final)
75%
Grant Probability
Favorable
3-4
OA Rounds
2m
Est. Remaining
95%
With Interview

Examiner Intelligence

Grants 75% — above average
75%
Career Allowance Rate
277 granted / 371 resolved
+19.7% vs TC avg
Strong +20% interview lift
Without
With
+20.2%
Interview Lift
resolved cases with interview
Typical timeline
2y 11m
Avg Prosecution
34 currently pending
Career history
399
Total Applications
across all art units

Statute-Specific Performance

§101
19.3%
-20.7% vs TC avg
§103
49.0%
+9.0% vs TC avg
§102
17.4%
-22.6% vs TC avg
§112
11.3%
-28.7% vs TC avg
Black line = Tech Center average estimate • Based on career data from 371 resolved cases

Office Action

§101 §103
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 . Response to Amendment The amendment filed on 4/15/2026 has been entered. Claims 1-19 remain pending in the present application. Claims 1 and 3-11 have been amended and claims 12-19 are new claims. Claim Rejections - 35 USC § 103 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 35 U.S.C. 103 which forms the basis for all obviousness rejections set forth in this Office action: A patent for a claimed invention may not be obtained, notwithstanding that the claimed invention is not identically disclosed as set forth in section 102, if the differences between the claimed invention and the prior art are such that the claimed invention as a whole would have been obvious before the effective filing date of the claimed invention to a person having ordinary skill in the art to which the claimed invention pertains. Patentability shall not be negated by the manner in which the invention was made. The factual inquiries for establishing a background for determining obviousness under 35 U.S.C. 103 are summarized as follows: 1. Determining the scope and contents of the prior art. 2. Ascertaining the differences between the prior art and the claims at issue. 3. Resolving the level of ordinary skill in the pertinent art. 4. Considering objective evidence present in the application indicating obviousness or nonobviousness. Claims 1-2, 7-12, and 17-19 are rejected under 35 U.S.C. 103 as being unpatentable over Barron et al. (US PGPUB 20170082111) in view of Coxe, III (US PGPUB 20090265045) in view of Song et al. (US PGPUB 20180035572). Regarding Claims 1 and 10; Barron teaches; A server chassis cooling fan control method comprising: (Barron; at least Figs. 1-5; [0016]; disclose a cooling fan that is utilized in server chassis cooling) generating a chassis temperature distribution map for respective zones of the chassis, based on the collected state monitoring data; and (Barron; at least Figs. 2-7; paragraphs [0005] and [0043]; disclose mapping temperature data in a plurality of swept areas (i.e. zones) which is then used to calculate individual fan speeds such that each area is maintained within temperature constraints) controlling cooling fans installed in the respective zones based on the generated chassis temperature distribution map. (Barron; at least paragraphs [0005] and [0045]-[0046]; disclose wherein the calculated fan speeds for each fan to maintain each swept area temperature within the constraints is set and controlled to achieve optimal cooling control of the system). Barron appears to be silent on; collecting state monitoring data from a baseboard management controller (BMC) of each server mounted in a chassis; generating a chassis temperature distribution map for respective zones of the, based on the collected state monitoring data; However, Coxe teaches; collecting state monitoring data from a baseboard management controller (BMC) of each server mounted in a chassis; (Coxe; at least paragraph [0066]; disclose wherein each blade server mounted in a chassis includes a thermal sensor that is then assigned a representative zone wherein the system include collecting thermal data from each sensor from each blade server) generating a chassis temperature distribution map for respective zones of the, based on the collected state monitoring data; (Coxe; at least Figs. 8-11; paragraphs [0053]-[0054] and [0066]; disclose a system and method for creating a thermal (i.e. temperature) distribution mapping of a chassis containing servers mounted within based on received thermal data from thermal sensors associated with each blade server, and wherein various fan modules are set to each thermal region/zone and are controlled to maintain temperatures within the given regions/zones). Barron and Coxe are analogous art because they are from the same field of endeavor or similar problem solving area, of server rack cooling and control systems. It would have been obvious to one of ordinary skill in the art before the effective filing date of the disclosed invention to have incorporated the known method of creating chassis temperature distribution maps as taught by Coxe with the known system of a server cooling and control system as taught by Barron in order to provide a way to improve cooling efficiency which lowers operating costs as taught by Coxe (paragraph [0003]). Barron and Coxe appear to be silent on; collecting state monitoring data from a baseboard management controller (BMC) of each server mounted in a chassis; However, Song teaches; collecting state monitoring data from a baseboard management controller (BMC) of each server mounted in a chassis; (Song; at least paragraph [0014]; disclose a cooling control system for a server rack system in which each blade of a server rack includes an element management controller (i.e. baseboard management controller) that provides detected monitoring data to a the system for cooling generation). Barron, Coxe, and Song are analogous art because they are from the same field of endeavor or similar problem solving area, of server rack cooling and control systems. It would have been obvious to one of ordinary skill in the art before the effective filing date of the disclosed invention to have incorporated the known method of collecting data from the element controller of each server blade as taught by Song with the known system of a server cooling and control system as taught by Barron and Coxe in order to provide a way better detect areas that require cooling so that airflow can be directed to specific zones thus saving on energy as the directed cooling requires less resources as taught by Song (paragraph [0010]). Regarding Claims 2 and 12; the combination of Barron, Coxe, and Song teach; The server chassis cooling fan control method of claim 1, wherein the chassis temperature distribution map is a map that represents a temperature distribution for the respective zones that are obtained by partitioning the chassis vertically and horizontally. (Coxe; at least Figs. 8-11). Regarding Claims 7 and 17; the combination of Barron, Coxe, and Song teach; The server chassis cooling fan control method of claim 1, wherein the controlling comprises: calculating rotation speeds of cooling fans installed in the respective zones, based on the generated chassis temperature distribution map; and performing a third calibration step of calibrating calculated rotation speeds for cooling fans which are operated in excess of a threshold driving time. (Barron; at least paragraphs [0024] and [0041]-[0046]). Regarding Claims 8 and 18; the combination of Barron, Coxe, and Song teach; The server chassis cooling fan control method of claim 7, further comprising performing a fourth calibration of calibrating calculated rotation speeds when an air quality level is greater than or equal to a threshold level. (Barron; at least paragraph [0031]). Regarding Claims 9 and 19; the combination of Barron and Coxe teach; The server chassis cooling fan control method of claim 1, further comprising performing a fifth calibration of calibrating calculated rotation speeds based on a distribution of rotation speeds of the cooling fans, wherein the performing a fifth calibration comprises reducing a rotation speed of a cooling fan when cooling fans positioned above, below, to the left, and to the right of the cooling fan are all operated at a maximum rotation speed. (Barron; at least paragraphs [0041]-[0046]). Regarding Claim 11; Barron teaches; A server chassis cooling fan control method comprising: (Barron; at least Figs. 1-5; [0016]; disclose a cooling fan that is utilized in server chassis cooling) collecting state monitoring data from a baseboard management controller (BMC) of each server mounted in a chassis; generating a chassis temperature distribution map for respective zones of the chassis, based on the collected state monitoring data; and (Barron; at least Figs. 2-7; paragraphs [0005] and [0043]; disclose mapping temperature data in a plurality of swept areas (i.e. zones) which is then used to calculate individual fan speeds such that each area is maintained within temperature constraints) calculating rotation speeds of cooling fans which are installed in respective zones, based on the generated chassis temperature distribution map. (Barron; at least paragraphs [0024] and [0041]-[0046]). Barron appears to be silent on; collecting state monitoring data from a baseboard management controller (BMC) of each server mounted in a chassis; generating a chassis temperature distribution map for respective zones of the chassis, based on the collected state monitoring data; and However, Coxe teaches; collecting state monitoring data from a baseboard management controller (BMC) of each server mounted in a chassis; (Coxe; at least paragraph [0066]; disclose wherein each blade server mounted in a chassis includes a thermal sensor that is then assigned a representative zone wherein the system include collecting thermal data from each sensor from each blade server) generating a chassis temperature distribution map for respective zones of the chassis, based on the collected state monitoring data; and (Coxe; at least Figs. 8-11; paragraphs [0053]-[0054] and [0066]; disclose a system and method for creating a thermal (i.e. temperature) distribution mapping of a chassis containing servers mounted within based on received thermal data from thermal sensors associated with each blade server, and wherein various fan modules are set to each thermal region/zone and are controlled to maintain temperatures within the given regions/zones). Barron and Coxe are analogous art because they are from the same field of endeavor or similar problem solving area, of server rack cooling and control systems. It would have been obvious to one of ordinary skill in the art before the effective filing date of the disclosed invention to have incorporated the known method of creating chassis temperature distribution maps as taught by Coxe with the known system of a server cooling and control system as taught by Barron in order to provide a way to improve cooling efficiency which lowers operating costs as taught by Coxe (paragraph [0003]). Barron and Coxe appear to be silent on; collecting state monitoring data from a baseboard management controller (BMC) of each server mounted in a chassis; However, Song teaches; collecting state monitoring data from a baseboard management controller (BMC) of each server mounted in a chassis; (Song; at least paragraph [0014]; disclose a cooling control system for a server rack system in which each blade of a server rack includes an element management controller (i.e. baseboard management controller) that provides detected monitoring data to a the system for cooling generation). Barron, Coxe, and Song are analogous art because they are from the same field of endeavor or similar problem solving area, of server rack cooling and control systems. It would have been obvious to one of ordinary skill in the art before the effective filing date of the disclosed invention to have incorporated the known method of collecting data from the element controller of each server blade as taught by Song with the known system of a server cooling and control system as taught by Barron and Coxe in order to provide a way better detect areas that require cooling so that airflow can be directed to specific zones thus saving on energy as the directed cooling requires less resources as taught by Song (paragraph [0010]). Allowable Subject Matter Claims 3-6 and 13-16 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. Claims 3 and 13 recite: “The server chassis control system of claim 2, wherein, for the generating the chassis temperature distribution map, the processor of the chassis management module is configured to: generate the chassis temperature distribution map based on data related to a position and a temperature of each edge server, wherein a temperature of each zone is calculated by applying a weighting according to an occupancy rate of each edge server positioned in each zone to a temperature value of the edge server and adding up the weighted values; and perform a first calibration of calibrating the generated chassis temperature distribution map, based on a future workload that is predicted for each edge server.” This application describes a way to cool an edge server chassis more intelligently in harsh environments. Instead of running all cooling fans the same way, the system gathers temperature and status data from each server’s baseboard management controller (BMC). It then builds a temperature map of the chassis by zone. Based on that zone-by-zone map, the system sets fan speeds separately for different zones. The map can be adjusted using predicted future workload, the zone’s position in the chassis, fan run-time, and air quality. The goal is to keep hot spots from causing damage while avoiding unnecessary fan power use. The closest prior art of record is Barron et al. (US PGPUB 20170082111) in view of Coxe, III (US PGPUB 20090265045) in view of Song et al. (US PGPUB 20180035572). Barron discloses a server cooling system and method which generates a temperature distribution map for a server system, and in response, controls the fan speed of a plurality of fans according the temperature map. Coxe discloses a server chassis cooling system and method which creates a plurality of zones according to a plurality of server blades within a chassis. The system can assign a plurality of thermal sensors associated with a plurality of server blades to a plurality of zones, thus creating a mapping, and then control localized fans to cool based upon associated zone temperatures. Song discloses a thermal control system and method for a server system including extracting performance and temperature data from individual controllers associated with each server blade, and controlling thermal temperatures based upon received information. However, none of the cited references, alone or in combination, provide explicit recitation of monitoring an occupancy of each server, applying weights to monitored temperatures based upon the predicted occupancy, and then further calibrating the generated map on the predicted future occupancies of the various server blades. This allows for the system of the present application to proactively determine and respond to predicted temperature transients within the system, rather than performing reactionary control steps like the closest prior art of record. Dependent claims 4-6 and 14-16, each depend upon objected to claims 3 and 13 respectively, and if incorporated with the identified claims in their entirety, would also be considered allowable. Response to Arguments Applicant’s arguments, see pages 6-9, filed 4/15/2026, with respect to the rejection(s) of claim(s) 1 and 10-11 under 35 U.S.C. 101 have been fully considered and are persuasive. Therefore, the rejection has been withdrawn. However, upon further consideration, a new ground(s) of rejection is made in view of Barron et al. (US PGPUB 20170082111) in view of Coxe, III (US PGPUB 20090265045) in view of Song et al. (US PGPUB 20180035572). Conclusion The prior art made of record and not relied upon is considered pertinent to applicant's disclosure. Gupta et al. (US PGPUB 20140278333): disclose a system and method for monitoring and modeling thermal behavior of server system, such that temperature patterns can be sufficiently monitored and utilized for cooling operations. Applicant's amendment necessitated the new ground(s) of rejection presented in this Office action. Accordingly, THIS ACTION IS MADE FINAL. See MPEP § 706.07(a). Applicant is reminded of the extension of time policy as set forth in 37 CFR 1.136(a). A shortened statutory period for reply to this final action is set to expire THREE MONTHS from the mailing date of this action. In the event a first reply is filed within TWO MONTHS of the mailing date of this final action and the advisory action is not mailed until after the end of the THREE-MONTH shortened statutory period, then the shortened statutory period will expire on the date the advisory action is mailed, and any nonprovisional extension fee (37 CFR 1.17(a)) pursuant to 37 CFR 1.136(a) will be calculated from the mailing date of the advisory action. In no event, however, will the statutory period for reply expire later than SIX MONTHS from the mailing date of this final action. Any inquiry concerning this communication or earlier communications from the examiner should be directed to CHRISTOPHER W CARTER whose telephone number is (469)295-9262. The examiner can normally be reached 9-6:30. 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, Robert Fennema can be reached at (571) 272-2748. 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. /CHRISTOPHER W CARTER/Examiner, Art Unit 2117
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Prosecution Timeline

Nov 06, 2023
Application Filed
Jan 20, 2026
Non-Final Rejection mailed — §101, §103
Apr 15, 2026
Response Filed
Jun 30, 2026
Final Rejection mailed — §101, §103 (current)

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Prosecution Projections

3-4
Expected OA Rounds
75%
Grant Probability
95%
With Interview (+20.2%)
2y 11m (~2m remaining)
Median Time to Grant
Moderate
PTA Risk
Based on 371 resolved cases by this examiner. Grant probability derived from career allowance rate.

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