A data center dynamic environment monitoring method and system based on a cloud-edge collaborative architecture
By generating event-triggered pulse sequences through adaptive bandpass filtering and zero-crossing detection, combined with an ultra-lightweight finite state machine, the problem of limited edge node resources in data center environmental monitoring is solved. This enables efficient and real-time anomaly detection and reliability assessment, improving the sensitivity and interpretability of equipment operating status.
CN122195772APending Publication Date: 2026-06-12ZHUOZHEN SIZHONG (GUANGZHOU) TECH CO LTD
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Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- ZHUOZHEN SIZHONG (GUANGZHOU) TECH CO LTD
- Filing Date
- 2026-03-03
- Publication Date
- 2026-06-12
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Figure CN122195772A_ABST
Abstract
The application provides a kind of data center dynamic environment monitoring method and system based on cloud edge collaborative architecture, comprising: adaptive configuration band-pass filter to the time series data of each type sensor channel, extract high integrity phase and energy characteristics, construct cross-channel resonance phase diagram based on pulse event, realize resonance state cluster identification by criterion, and input ultra-lightweight finite state machine through three-dimensional feature vector to determine state credibility;Finally, a label with confidence score is generated, and a reliable summary is output after efficient CRC verification, which effectively improves the robustness, real-time performance and decision credibility of dynamic environment data processing in edge environment, reduces the consumption of computing and storage resources, and meets the stringent requirements of multi-channel signal resonance monitoring scenarios.
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