Data compression and transmission method for wireless vibration sensor

By combining non-uniform time interval compressed sampling and lightweight communication protocols with sparse reconstruction algorithms, the energy consumption and robustness issues of wireless health monitoring systems are solved, achieving low-energy and high-efficiency vibration data acquisition and transmission, which is suitable for long-term health monitoring of large civil structures.

CN120934525APending Publication Date: 2025-11-11ZHEJIANG UNIV
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Patent Information

Application Number
CN202511041303.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-07-28
Publication Date
2025-11-11

AI Technical Summary

Technical Problem

Due to limitations in sensor battery life, node storage space, and transmission bandwidth, wireless health monitoring systems struggle to perform long-term, high-frequency data acquisition and transmission. Therefore, there is an urgent need for highly efficient sampling methods to reduce energy consumption and improve system robustness.

Method used

By employing compressed sampling with non-uniform time intervals and a lightweight communication protocol, combined with a sparse reconstruction algorithm, and by generating pseudo-random acquisition time series and transmitting data in multiple batches, the data acquisition and transmission process is optimized, and an adjustable observation matrix is ​​constructed to improve the signal spectrum representation capability.

Benefits of technology

It achieves low-energy, low-bandwidth, and highly robust vibration data acquisition and transmission, significantly reducing sensor node energy consumption and improving data transmission efficiency and system adaptability.

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Abstract

A data compression and transmission method for a wireless vibration sensor comprises the following steps: A, initializing acquisition parameters and generating a pseudo random number to realize vibration data compression sampling; b, transmitting the compressed data to a data terminal in multiple batches according to a set mode by adopting a lightweight communication protocol; c, constructing an adjustable measurement matrix according to the data received by the data terminal, and restoring a complete vibration data sequence by using a compressed sensing algorithm; d, the sensor is installed in an actual engineering environment for testing, and compression sampling and transmission parameters are determined; and E, adjusting compression sampling transmission parameters to realize long-term vibration data compression sampling and transmission. On the premise of guaranteeing the integrity and reliability of vibration monitoring data, the energy consumption and communication bandwidth requirements are remarkably reduced, the robustness of wireless transmission is effectively improved, and the service life of wireless transmission equipment is prolonged.
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Citation Information

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