The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jun. 01, 2021

Filed:

Aug. 10, 2018
Applicant:

Intellitect Water Ltd, Romsey, GB;

Inventors:

Benjamin Ian Johnson, Romsey, GB;

Alexander James Brown, Romsey, GB;

Mark Duckworth, Romsey, GB;

Assignee:

INTELLITECT WATER LTD, Romsey Hampshire, GB;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
C02F 1/00 (2006.01); G06K 9/62 (2006.01); G06N 7/00 (2006.01); G06Q 50/06 (2012.01);
U.S. Cl.
CPC ...
C02F 1/008 (2013.01); G06K 9/6284 (2013.01); G06N 7/005 (2013.01); C02F 2209/02 (2013.01); C02F 2209/03 (2013.01); C02F 2209/04 (2013.01); C02F 2209/05 (2013.01); C02F 2209/06 (2013.01); C02F 2209/11 (2013.01); C02F 2209/14 (2013.01); C02F 2209/15 (2013.01); C02F 2209/20 (2013.01); C02F 2209/22 (2013.01); C02F 2209/29 (2013.01); C02F 2209/36 (2013.01); C02F 2209/40 (2013.01); C02F 2307/14 (2013.01); G06Q 50/06 (2013.01);
Abstract

A water network monitor, monitoring system and method″ A water network monitor, monitoring system and method comprising: at least one sensor operable to sense one or more parameters of a water network; and an analyser to analyse data points over time from the water network by the at least one sensor, the analyser having an input comprising the data points recorded over time from the water network and an output comprising an event probability P(event) that an event has occurred which affects the water network from which the data points were recorded, the analyser comprising: an outlier detector to determine a measure of abnormality (D) from an outlier detection algorithm for each of the data points; and an outlier decay discriminator (ODD) to calculate an outlier probability (Po) for each of the data points based on each data points measure of abnormality (D), wherein the outlier probability is decayed over time, the output of the ODD comprising an event probability P(event), wherein P(event) is based on the decayed outlier probability.


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