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Design of Pipeline Leak Data Acquisition and Processing System

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Recent Developments in Mechatronics and Intelligent Robotics (ICMIR 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 856))

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Abstract

A pipeline leakage signal acquisition and processing system based on STM32 and LabVIEW have been designed. In this system, the STM32F103RBT6 is used as the lower computer and processing chip. The signal data was transferred to host computer by ZigBee wireless transmission module. In the host computer, a set of signal acquisition and processing system is designed based on the LabVIEW development platform. The software system can be used in conjunction with MATLAB software. In addition, after every static time the master computer will send the command to make slave computer refresh machine time by GPS modules.

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Acknowledgements

Project researches on leakage signal mechanism and method of weak signal detection and dispose in water-supply pipelines (61362023) supported by National Natural Science Foundation of China.

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Authors and Affiliations

  1. School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, 014010, China

    Li Zhonghu, Ma Bo, Wang Jinming, Yan Junhong & Wang Luling

Authors
  1. Li Zhonghu
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  2. Ma Bo
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  3. Wang Jinming
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  4. Yan Junhong
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  5. Wang Luling
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Corresponding author

Correspondence to Li Zhonghu .

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Editors and Affiliations

  1. School of Transportation Science and Engineering, Beihang University, Beijing, China

    Kevin Deng

  2. School of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China

    Zhengtao Yu

  3. Department of Computer Science and Engineering, Soa University, Bhubaneswar, Odisha, India

    Srikanta Patnaik

  4. Department of Information Management and Business Analytics, Montclair State University, Montclair, NJ, USA

    John Wang

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Zhonghu, L., Bo, M., Jinming, W., Junhong, Y., Luling, W. (2019). Design of Pipeline Leak Data Acquisition and Processing System. In: Deng, K., Yu, Z., Patnaik, S., Wang, J. (eds) Recent Developments in Mechatronics and Intelligent Robotics. ICMIR 2018. Advances in Intelligent Systems and Computing, vol 856. Springer, Cham. https://doi.org/10.1007/978-3-030-00214-5_46

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