Prosecution Insights
Last updated: April 19, 2026
Application No. 18/031,276

Method and Smart System for Fault Detection and Prevention in Industrial Boilers

Non-Final OA §101
Filed
Apr 11, 2023
Examiner
BHAT, ADITYA S
Art Unit
2857
Tech Center
2800 — Semiconductors & Electrical Systems
Assignee
UNIVERSITY OF NOTTINGHAM NINGBO CHINA
OA Round
1 (Non-Final)
81%
Grant Probability
Favorable
1-2
OA Rounds
3y 3m
To Grant
91%
With Interview

Examiner Intelligence

Grants 81% — above average
81%
Career Allow Rate
552 granted / 681 resolved
+13.1% vs TC avg
Moderate +10% lift
Without
With
+9.8%
Interview Lift
resolved cases with interview
Typical timeline
3y 3m
Avg Prosecution
32 currently pending
Career history
713
Total Applications
across all art units

Statute-Specific Performance

§101
26.3%
-13.7% vs TC avg
§103
22.7%
-17.3% vs TC avg
§102
35.4%
-4.6% vs TC avg
§112
9.3%
-30.7% vs TC avg
Black line = Tech Center average estimate • Based on career data from 681 resolved cases

Office Action

§101
DETAILED ACTION Status 1. The present application, filed on or after March 16, 2013, is being examined under the first inventor to file provisions of the AIA . Claims 1-10 are currently pending in this application. Priority 2. Receipt is acknowledged of papers submitted under 35 U.S.C. 119(a)-(d), which papers have been placed of record in the file. Information Disclosure Statement 3. The information disclosure statement (IDS) submitted on 04/11/2023 was received. The submission is in compliance with the provisions of 37 CFR 1.97 and 37 CFR 1.98. Accordingly, the information disclosure statement has being considered by the examiner. Drawings 4. The drawings submitted on 4/11/2023 are in compliance with 37 CFR § 1.81 and 37 CFR § 1.83 and have been accepted by the examiner. Claim Rejections - 35 USC § 101 Non-Statutory 5. 35 U.S.C. 101 reads as follows: Whoever invents or discovers any new and useful process, machine, manufacture, or composition of matter, or any new and useful improvement thereof, may obtain a patent therefor, subject to the conditions and requirements of this title. 6. Claims 1-10 are rejected under 35 U.S.C. 101 because the claimed invention is directed to non-statutory subject matter. Specifically, representative Claim 1 recites: A method for recognizing and forewarning a fault of an industrial boiler, comprising: acquiring preset boiler monitoring parameter combinations, wherein each of the boiler monitoring parameter combinations comprises at least one boiler monitoring parameter, and each of the boiler monitoring parameter combinations corresponds to a fault type; acquiring a segmentation time span corresponding to each of the boiler monitoring parameter combinations; and acquiring a variation graph of all the boiler monitoring parameters in each of the boiler monitoring parameter combinations, and segmenting and fragmenting the variation graph of all the boiler monitoring parameters in a time sequence according to the segmentation time span to obtain fragmented images; and using the fragmented images of all the boiler monitoring parameters within the same time period in each of the boiler monitoring parameter combinations as a fragmented image combination to obtain a plurality of fragmented image combinations; and respectively inputting the plurality of fragmented image combinations to a preset fault diagnosis model to obtain fault diagnosis results output by the fault diagnosis model and corresponding to all the fragmented image combinations. The claim limitations in the abstract idea have been highlighted in bold above; the remaining limitations are “additional elements.” Similar limitations comprise the abstract ideas of Claim 10. Under Step 1 of the analysis, claim 1 does belong to a statutory category, namely it is a process claim. Likewise, claim 8 is a system claim and claim 15 a non-transitory computer readable medium claim. Under Step 2A, prong 1, claim 1 is found to include at least one judicial exception, that being a mental process. This can be seen in the claim limitation of “segmenting and fragmenting the variation graph of all the boiler monitoring parameters in a time sequence according to the segmentation time span to obtain fragmented images, using the fragmented images of all the boiler monitoring parameters within the same time period in each of the boiler monitoring parameter combinations as a fragmented image combination to obtain a plurality of fragmented image combinations; and respectively inputting the plurality of fragmented image combinations to a preset fault diagnosis model to obtain fault diagnosis results output by the fault diagnosis model and corresponding to all the fragmented image combinations.”, which is the judicial exception of a mental process and/or a mathematical concept because it is merely a data evaluation including calculations, and/or judgements capable of being performed mentally. Similar limitations comprise the abstract ideas of Claim 10. Step 2A, prong 2 of the eligibility analysis evaluates whether the claim as a whole integrates the recited judicial exception(s) into a practical application of the exception. This evaluation is performed by (a) identifying whether there are any additional elements recited in the claim beyond the judicial exception, and (b) evaluating those additional elements individually and in combination to determine whether the claim as a whole integrates the exception into a practical application. In addition to the abstract ideas recited in claim 1, the claimed method recites additional elements including acquiring preset boiler monitoring parameter combinations, wherein each of the boiler monitoring parameter combinations comprises at least one boiler monitoring parameter, and each of the boiler monitoring parameter combinations corresponds to a fault type; acquiring a segmentation time span corresponding to each of the boiler monitoring parameter combinations; and acquiring a variation graph of all the boiler monitoring parameters in each of the boiler monitoring parameter combinations, and segmenting and fragmenting the variation graph of all the boiler monitoring parameters in a time sequence according to the segmentation time span to obtain fragmented images;” (claims 1 and 10) which are merely data gathering steps recited at a high level of generality and therefore merely amount to “insignificant extra-solution” activity(ies). See MPEP 2106.05(g) “Insignificant Extra-Solution Activity,”. The claim also recites “a preset fault diagnosis model” (claims 1 and 10) however the “preset fault diagnosis model” is recited at a high level of generality, e.g. Spec. [Page 14, line 10] describing an example that the model maybe a convolutional neural network (CNN) but does not provide a limiting definition of the types of “machine learning” models that may be used, and therefore merely amounts to the use of computer technology as a tool to apply the abstract idea (see MPEP 2106.05(f)) and/or the use of “machine learning” to perform the predictions, that are otherwise abstract, is merely an attempt at limiting the abstract to a particular field of use (See MPEP 2106.05(h)). The generic data gathering, processing, and output steps, and other elements, are recited so generically that it represents no more than mere instructions to apply the judicial exceptions on a computer. It can also be viewed as nothing more than an attempt to generally link the use of the judicial exceptions to the technological environment of a computer. Noting MPEP 2106.04(d)(I): “It is notable that mere physicality or tangibility of an additional element or elements is not a relevant consideration in Step 2A Prong Two. As the Supreme Court explained in Alice Corp., mere physical or tangible implementation of an exception does not guarantee eligibility. Alice Corp. Pty. Ltd. v. CLS Bank Int’l, 573 U.S. 208, 224, 110 USPQ2d 1976, 1983-84 (2014) ("The fact that a computer ‘necessarily exist[s] in the physical, rather than purely conceptual, realm,’ is beside the point")”. Thus, under Step 2A, prong 2 of the analysis, even when viewed in combination, these additional elements do not integrate the recited judicial exception into a practical application and the claim is directed to the judicial exception. No specific practical application is associated with the claimed system. For instance, nothing is done with the output from the fault diagnosis model. Under Step 2B, the claims do not include additional elements that are sufficient to amount to significantly more than the judicial exception because the additional elements, as described above with respect to Step 2A Prong 2, merely amount to a general purpose computer system that attempts to apply the abstract idea in a technological environment, limiting the abstract idea to a particular field of use, and/or merely insignificant extra-solution activity (claims 1 and 10). Such insignificant extra-solution activity, e.g. data gathering and output, when re-evaluated under Step 2B is further found to be well-understood, routine, and conventional as evidenced by MPEP 2106.05(d)(II) (describing conventional activities that include transmitting and receiving data over a network, electronic recordkeeping, storing and retrieving information from memory, and electronically scanning or extracting data from a physical document). Therefore, similarly the combination and arrangement of the above identified additional elements when analyzed under Step 2B also fails to necessitate a conclusion that claim 1, as well as claim 10, amount to significantly more than the abstract idea. With regards to the dependent claims, claims 2-9, merely further expand upon the algorithm/abstract idea and do not set forth further additional elements therefore these claims are found ineligible for the reasons described for independent claims 1 and 10. See Supreme court decision in Alice Corporation Pty. Ltd. V. CLS Bank International, et al. Conclusion 7. The prior art made of record and not relied upon is considered pertinent to applicant's disclosure. Dickson et al. US PAT # 2023/0359194 teaches a system and method for predicting shutdown alarms in boiler using machine learning. 8. Any inquiry concerning this communication or earlier communications from the examiner should be directed to ADITYA S BHAT whose telephone number is (571)272-2270. The examiner can normally be reached on Monday-Friday 8 am-6pm. 9. 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. 10. If attempts to reach the examiner by telephone are unsuccessful, the examiner’s supervisor, Shelby Turner can be reached on 571-272-6334. The fax phone number for the organization where this application or proceeding is assigned is 571-273-8300. 11. Information regarding the status of an application may be obtained from the Patent Application Information Retrieval (PAIR) system. Status information for published applications may be obtained from either Private PAIR or Public PAIR. Status information for unpublished applications is available through Private PAIR only. For more information about the PAIR system, see https://ppair-my.uspto.gov/pair/PrivatePair. Should you have questions on access to the Private PAIR system, contact the Electronic Business Center (EBC) at 866-217-9197 (toll-free). If you would like assistance from a USPTO Customer Service Representative or access to the automated information system, call 800-786-9199 (IN USA OR CANADA) or 571-272-1000. /ADITYA S BHAT/Primary Examiner, Art Unit 2857 January 6, 2026
Read full office action

Prosecution Timeline

Apr 11, 2023
Application Filed
Jan 06, 2026
Non-Final Rejection — §101 (current)

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Study what changed to get past this examiner. Based on 5 most recent grants.

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Prosecution Projections

1-2
Expected OA Rounds
81%
Grant Probability
91%
With Interview (+9.8%)
3y 3m
Median Time to Grant
Low
PTA Risk
Based on 681 resolved cases by this examiner. Grant probability derived from career allow rate.

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