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This is a record of a document published elsewhere, first published by the United States Patent and Trademark Office, as US-12585255-B2, on 24 March 2026. OpenTechnical did not first disclose it. The identifier, hashes and timestamps below record what this library served and when, not when the material became public. View the original.

OT-2026-000001624

Methods and systems for detection in an industrial internet of things data collection environment with noise pattern recognition for boiler and pipeline systems

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Classification
Sensors, Controls & Machine Vision › Industrial Control
Assignee
STRONG FORCE IOT PORTFOLIO 2016 LLC
Original source
US-12585255-B2, the United States Patent and Trademark Office, 24 March 2026
Document SHA-256
d084e79be20d0700500d920addb9fd6d41b5eb221316586e707ca67b3446d3c7

Abstract

Methods and systems for a monitoring system for data collection in an industrial environment including a data collector communicatively coupled to a plurality of input channels connected to data collection points operationally coupled to at least one industrial component in at least one of an industrial boiler system or industrial pipeline system; a data storage structured to store a library of stored noise patterns associated with operation of the at least one industrial component; a data acquisition circuit structured to interpret a plurality of detection values from the collected data; and a data analysis circuit structured to: analyze the collected data, determine a measured noise pattern for the at least one industrial component, and compare the measured noise pattern to the library of stored noise patterns to identify a changed condition of the at least one industrial component.

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Citation

OpenTechnical Publication OT-2026-000001624, “Methods and systems for detection in an industrial internet of things data collection environment with noise pattern recognition for boiler and pipeline systems,” published September 15, 2026 at 19:07:06 UTC, https://opentechnical.org/p/OT-2026-000001624.

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