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Study on Leak Detecting System for Oil Pipeline Based on Muiti-sensor Data Fusion Technique

机译:基于MUITI传感器数据融合技术的油管道泄漏检测系统研究

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摘要

In this paper, based on the wavelet transform method, the multi-sensor data fusion technology is adopted to solve some key problems in pipeline leak detection system. Compared with the traditional filtering method, the wavelet transform method can better remove the pipeline leakage signal noise. When the corresponding wavelet is selected, after FPGA realized, the method has the advantages of fast speed, arbitrarily data width set, which can better meet the needs of real-time signal processing requirements of pipeline leak. At the same time, VHDL language has the characteristics of portability, greater generality. When multi-sensor fusion technology is used in the paper, the relation, correlation, estimation and integrated processing is done in turn to the information from multiple data sources, the system can achieve better detection performance than a system using the single sensor, so as to form a more complete, reliable pipeline real time detecting conclusion.
机译:本文基于小波变换方法,采用多传感器数据融合技术来解决管道泄漏检测系统中的一些关键问题。与传统的过滤方法相比,小波变换方法可以更好地消除管道泄漏信号噪声。 When the corresponding wavelet is selected, after FPGA realized, the method has the advantages of fast speed, arbitrarily data width set, which can better meet the needs of real-time signal processing requirements of pipeline leak.同时,VHDL语言具有便携性的特点,更大。当本文中使用多传感器融合技术时,依次从多个数据源的信息进行关系,相关性,估计和集成处理,系统可以实现比使用单个传感器的系统更好的检测性能,所以形成一个更完整的,可靠的管道实时检测结论。

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