Systems, methods, and media for near real-time anomaly event detection and classification with trend change detection for smart water grid operation management
US12135225B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 18, 2023 |
| Grant date | Nov 5, 2024 |
| Priority date | — |
| Expiry date | May 5, 2043 |
Classification
- Technology area (CPC E)Fixed Constructions
- CPC primaryE03B7/072
- WIPO fieldMeasurement
- WIPO sectorInstruments
Abstract
Techniques are provided for near real-time anomaly event detection and classification with trend change detection for smart water grid operation management. In the first phase, a trend change is detected in each of one or more sensors by comparing new sensor data of a sensor with a historical trend pattern of the same sensor. In the second phase, and after the trend changes are detected, a valid event evaluation time window can be determined based on combining and analyzing the detected trend changes for flow and pressure sensors, e.g., at least one flow sensor and at least one pressure sensor from the same supply zone of the smart water grid. The valid event evaluation time window can be used with anomaly events that are detected in near-real time to classify the anomaly events in near-real time as valid, e.g., true anomaly events, or invalid, e.g., false alarms.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.