MEMS-based ultra-wideband micro-vibration monitoring system and signal processing method thereof
By employing a MEMS ultra-wideband sensor array module, a digital twin construction module, a feature fusion intelligent diagnostic center, a micro-vibration field three-dimensional visualization and interaction module, and an edge-cloud collaborative adaptive control module, the limitations of existing technologies in terms of limited acquisition range, insufficient processing efficiency, and insufficient accuracy have been addressed. This enables full-dimensional perception, intelligent diagnosis, and adaptive control of the ultra-wideband micro-vibration state of equipment, thereby improving the accuracy and real-time performance of micro-vibration monitoring.
CN122258973APending Publication Date: 2026-06-23BEIJING SHENZHOU XIANGYU TECH CO LTD
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Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- BEIJING SHENZHOU XIANGYU TECH CO LTD
- Filing Date
- 2026-03-14
- Publication Date
- 2026-06-23
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Figure CN122258973A_ABST
Abstract
The application relates to the technical field of micro-electro-mechanical systems, in particular to a MEMS-based ultra-wideband micro-vibration monitoring system and a signal processing method thereof, which comprises the following steps: a MEMS ultra-wideband sensing array module collects the ultra-wideband micro-vibration time domain signals, environmental temperature and humidity and installation attitude data of a measured equipment; an ultra-wideband micro-vibration digital twin construction module constructs an equipment multi-physical field digital twin and outputs multi-physical field simulation data; an ultra-wideband feature fusion intelligent diagnosis core adopts a CNN-Transformer model enhanced by a multi-scale attention mechanism to generate a hierarchical maintenance strategy; a micro-vibration field three-dimensional visualization interaction module constructs an interactive three-dimensional micro-vibration field virtual scene and presents diagnosis results and maintenance strategies; and an edge-cloud collaborative adaptive regulation and control module performs collaborative regulation and control of edge real-time processing and cloud iterative optimization. Therefore, the problems of limited collection range, insufficient processing efficiency and precision and the like in the prior art are solved.
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