System and method for identifying related events in a resource network monitoring system

Abstract

A computerized method for detecting related events in a water monitoring system. The method includes receiving event data from a plurality of sensors in a water network. The method also includes identifying at least two candidate events from the event data as being candidate events which are likely to constitute part of a common anomaly event, the candidate events each being substantially anomalous. An event combination rule is selected. One or more event characteristics are compared between the at least two candidate events based on the event combination rule. The at least two candidate events are determined whether they are related and associated with a common event causing the at least two candidate events on the basis of the comparison. The determination of the at least two candidate events are related and associated with a common event is reported to a user via a user interface.

Description

CROSS REFERENCE TO RELATED APPLICATIONS[0001]The present application is related to:[0002]U.S. patent application Ser. No. 12 / 717,944, entitled “SYSTEM AND METHOD FOR MONITORING RESOURCES IN A WATER UTILITY NETWORK,” filed on Mar. 5, 2010, now issued as U.S. Pat. No. 7,920,983; and[0003]U.S. patent application Ser. No. 13 / 008,819, entitled “SYSTEM AND METHOD FOR IDENTIFYING LIKELY GEOGRAPHICAL LOCATIONS OF ANOMALIES IN A WATER UTILITY NETWORK,” filed on Jan. 18, 2011;[0004]the disclosures of which are hereby incorporated by reference in their entirety.COPYRIGHT NOTICE[0005]A portion of the disclosure of this patent document contains material, which is subject to copyright protection. The copyright owner has no objection to the facsimile reproduction by anyone of the patent document or the patent disclosure, as it appears in the Patent and Trademark Office patent files or records, but otherwise reserves all copyright rights whatsoever.FIELD OF THE INVENTION[0006]The invention describe...

AI Technical Summary

Problems solved by technology

Moreover, for a sufficiently small event, individual component anomalies may be statistically insignificant, if viewed separately, but stand out if correctly considered together.

Thus, in current network monitoring systems, especially in those used to monitor water utilities, existing methods do not adequately account for different sources or items of event data corresponding to a single network event, leading to misclassification, reduced detection sensitivity and increased workload for users.

In addition, the amount of event data increases as additional sensors are added to a network for greater accuracy, or sampling frequencies are increased for more up to date results, thus exacerbating this problem by increasing the number of duplicate events being detected in the network.

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