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US Patent 11781895 Fluid flow analysis and management

Patent 11781895 was granted and assigned to Buoy Labs on October, 2023 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent

Patent attributes

Patent Applicant
Buoy Labs
Buoy Labs
Current Assignee
Buoy Labs
Buoy Labs
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11781895
Patent Inventor Names
Andrew Stephen Pike
Keri Waters
Date of Patent
October 10, 2023
Patent Application Number
15904290
Date Filed
February 23, 2018
Patent Citations
‌
US Patent 7657347 Temperature-based monitoring method and system for determining first and second fluid flow rates through a heat exchanger
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US Patent 7905831 Endoscope washing/disinfecting system, endoscope, and endoscope washing/disinfecting device
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US Patent 8105279 Dispensing fluid from an infusion pump system
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US Patent 8457908 Sensing events affecting liquid flow in a liquid distribution system
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US Patent 8531303 Method and installation for real-time inspection of the quality of water in a delivery network
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US Patent 8548755 Flow rate measurement device
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US Patent 8800384 Canted helix collapsible flowmeter and method of measuring a fluid flow
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US Patent 8866634 System and method for remotely monitoring and controlling a water meter
...
Patent Primary Examiner
‌
Ricky Go
CPC Code
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H04W 92/16
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H04W 4/70
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H04W 4/38
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G01F 15/063
Patent abstract

A system and method for observing fluid flow behavior at a selected site, deriving judgments and recommendations, and further communicating data, judgments and recommendations. The system receives flow rate information, derives a time series of fluid flow events therefrom, identifies compound events consisting of contemporaneous events, disaggregates compound events by application of an unsupervised model, and applies the unsupervised model to derive a solution space of a subset sum problem-type, wherein historical data of the observed fluid flow is not necessarily accessed. The system derives a prior probability of events associated with an event conditional upon event features and attributes, and thereupon estimates prior probabilities based upon user-derived labels for events from many external sites; and/or derives a posterior probability of labels associated events, conditional upon event features and attributes, and estimates posterior probabilities based upon both prior updated information relating to the selected site and a priori calculated probabilities.

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