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Cloud Computing Methods for Leaking Detection of Halogen Pipeline Based On Distributed Terminals

机译:基于分布式终端的卤素管道泄漏检测云计算方法

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In order to ensure the safe transmission of the brine pipeline, this paper designs a leakage detection terminal based on STM32F7. This terminal uses GPS to added time stamps to the collected data. And each distributed terminal uses second pulse signal of GPS to realize the function of synchronously collecting signals. Finally, the data is transmitted to the cloud computing platform through the 4G wireless transmission module system. This paper uses the S transform algorithm to analyze the characteristics of these transmitted data. S transform algorithm fully extracts the characteristics of the data in the time-frequency-mode domain. The simulation results show that the data generates high-frequency signals at default point. Through the whole system, it can effectively realize real-time monitoring.
机译:为了保证盐水管道的安全输送,本文设计了一种基于STM32F7的泄漏检测终端。该终端使用GPS向收集的数据添加时间戳。各分布式终端利用GPS的秒脉冲信号实现信号的同步采集功能。最后通过4G无线传输模块系统将数据传输到云计算平台。本文使用S变换算法来分析这些传输数据的特性。S变换算法充分提取了数据在时频模式域的特征。仿真结果表明,数据在默认点产生高频信号。通过整个系统,可以有效地实现实时监控。

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