Anomaly detection based on airflow alerters
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Solution Overview
Problem
Data centers face challenges in maintaining physical security during emergencies, as HVAC systems may shut down, leaving security mechanisms like cameras and sensors offline, necessitating an alternative anomaly detection method to identify intrusions or HVAC malfunctions.
Innovation Solution
A computer-implemented method using a plurality of airflow alerters (anemometers) to detect anomalies by comparing real-time airflow patterns with predetermined patterns, identifying deviations, and triangulating the location of anomalies, with alert messages redirected to a SIEM system for further analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If HVAC system shuts down during emergency to save energy, then energy consumption is reduced, but security monitoring capability is lost
Solution Approach 1:
The airflow alerters are designed to be self-powered through the airflow they detect. The anemometers convert kinetic energy from the HVAC airflow into electrical energy to power their own operation and wireless communication, enabling continuous security monitoring without external power during emergencies
Solution Approach 2:
The patent replaces traditional powered security systems (cameras, sensors) with a passive airflow detection system that uses the existing HVAC airflow itself as the power source, substituting mechanical/electrical power requirements with aerodynamic energy conversion
2Measurement precision
If multiple airflow alerters are deployed to improve detection accuracy, then anomaly detection precision is improved, but system complexity increases
Solution Approach 1:
Each airflow alerter is designed as a universal, multi-functional unit that combines airflow sensing, anomaly detection, wireless communication, and self-powering capabilities in a single device, eliminating the need for separate powered security systems and reducing overall system complexity
Solution Approach 2:
The system uses multiple identical copies of the same simple airflow alerter design rather than complex differentiated sensors, allowing easy deployment and scalability while maintaining uniform detection capabilities across all monitoring points
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This solution provides continuous anomaly detection and location identification, enabling timely alerts and security measures even during power outages, improving accuracy and reducing false positives through the use of multiple airflow alerters and low-power communication technologies.
Implementation Method 1
each airflow alerter is an anemometer
Implementation Method 2
the battery is charged by a wind power generated by the one or more conductive ends
Data Source
AI summary
A computer-implemented method for anomaly detection in a data processing system comprising a processor and a memory comprising instructions which are executed by the processor. The method includes receiving a plurality of real-time airflow patterns acquired by a plurality of airflow alerters, wherein each real-time airflow pattern corresponds to a different airflow alerter; comparing each real-time airflow pattern with a predetermined airflow pattern, wherein each real-time airflow pattern corresponds to a different predetermined airflow pattern; when there is any real-time airflow pattern different from the corresponding predetermined airflow pattern, identifying a group of airflow alerters among the plurality of airflow alerters, wherein a real-time airflow pattern of each airflow alerter in the group is different from the corresponding predetermined airflow pattern; and identifying a location of an anomaly based on the group of airflow alerters.