Patent US12596912B2 - Operations and Maintenance Control Systems
Summary
USPTO granted patent US12596912B2 to INCUCOMM, INC. on April 7, 2026. The patent covers systems and methods for operations and maintenance systems using dual AI models with dynamic weightings to predict characteristics and execute operational decisions. The patent contains 26 claims across multiple AI/ML classifications including neural networks, deep learning, and hybrid computing models.
What changed
USPTO issued patent US12596912B2 to INCUCOMM, INC. for systems and methods in operations and maintenance (O&M) systems that evaluate objects using two dissimilar models, generate predictions through dynamic weightings, and execute operational or maintenance decisions based on those predictions. The patent covers AI/ML technologies including neural networks (G06N3/045, G06N3/08), deep learning (G06N20/00), and hybrid computing approaches.
Patent grants are routine administrative actions that establish IP rights for the assignee without creating compliance obligations for other parties. No immediate regulatory actions are required. Companies developing O&M systems, predictive maintenance, or AI-driven industrial control systems should be aware of this issued patent to assess potential licensing needs or design-around considerations.
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Apr 7, 2026GovPing captured this document from the original source. If the source has since changed or been removed, this is the text as it existed at that time.
Systems and methods for use in operations and maintenance systems for controlling the operation of second system
Grant US12596912B2 Kind: B2 Apr 07, 2026
Assignee
INCUCOMM, INC.
Inventors
Randal Allen, Steven D. Roemerman, John P. Volpi
Abstract
Disclosed are systems and methods for operations and maintenance (O&M) systems for controlling the operation of a second system, wherein the second system includes a plurality of objects (i.e., components and/or subsystems). The O&M system comprises means for evaluating at least one of the plurality of objects using a first model to produce a first prediction of a characteristic of the object; evaluating at least one of the plurality of objects using a second model to produce a second prediction of the characteristic of the object, the second model being dissimilar to the first model; generating a final prediction of the characteristic of the object as a function of dynamic weightings of the first prediction and the second prediction; and, executing an operational or maintenance decision with respect to the second system as a function of the final prediction of the characteristic of the at least one of the plurality of objects.
CPC Classifications
G06N 3/045 G06N 3/08 G06N 7/01 G06N 20/00 G06N 3/048 G06N 3/042 G06N 3/105 G06N 5/01 G06N 3/084 G06F 7/22 G06F 11/3452 G06F 17/11 G06F 17/16 G06F 17/18 G06F 30/27 G06F 17/142 G06F 2111/10 G06F 2207/4824 G06F 7/023
Filing Date
2023-08-14
Application No.
18449532
Claims
26
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