System and method for detecting malicious activities and anomalies in building systems
US11934522B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 27, 2019 |
| Grant date | Mar 19, 2024 |
| Priority date | — |
| Expiry date | Jul 17, 2041 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY04S40/20
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system for detecting malicious operation of a building system includes a power characteristic input connected to a plurality of power characteristic sensors, a processor and a memory. The memory stores instructions for operating at least a physics model detection, a machine learning model detection and a combination module. The physics model detection includes multiple predefined expected power characteristics and is configured to detect an anomaly when at least one power characteristic received at the power characteristic input deviates from a corresponding predefined expected power characteristic of the predefined expected power characteristics. The machine learning model includes a machine learning system configured to learn a set of expected normal power characteristics and detect the anomaly when at least one power characteristic received at the power characteristic input deviates from the learned set of expected normal power characteristics. The combination module is configured to output an alert to at least one technician in response to at least one of the physics model and the machine learning model detecting the anomaly.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.