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Study on Early Fire Behavior Detection Method for Cable Tunnel Detection Robot

  • Biwu YanEmail author
  • Guangzhen Ren
  • Xiaowei Huang
  • Junfeng Chi
  • Lei Zheng
  • Hao Luo
  • Pengxiang Yin
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 924)

Abstract

With the increase of cable tunnels and improvement of inspection requirements, different types of inspection robots have been designed and applied to the inspection and fire protection of cable tunnels. Due to the complex environment of the cable tunnel, it is difficult for existing robots to conduct fire detection and diagnosis effectively. Therefore, a fire detection method of cable tunnel robot based on support vector machine (SVM) is proposed. According to the actual tunnel size, a simulation model is established to calculate the smoke concentration and temperature variation of tunnels under different fire power. Considering the dynamic detection of robot, the characteristics of the measured data are analyzed. The SVM model is trained by using the sample characteristic data, and then the test data is used for testing. The accuracy of the test is up to 95%.

Keywords

Split type robot Insulator detection Electric field analysis Test experiments 

Notes

Acknowledgments

This study was funded by the State Grid Corporation Headquarters Science and Technology Project (524625160014).

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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  • Biwu Yan
    • 1
    • 2
    • 3
    Email author
  • Guangzhen Ren
    • 1
    • 2
    • 3
  • Xiaowei Huang
    • 1
    • 2
    • 3
  • Junfeng Chi
    • 1
    • 2
    • 3
  • Lei Zheng
    • 1
    • 2
    • 3
  • Hao Luo
    • 1
    • 2
    • 3
  • Pengxiang Yin
    • 1
    • 2
    • 3
  1. 1.NARI Group Corporation Ltd.NanjingChina
  2. 2.Wuhan NARI Limited Liability Company, State Grid Electric Power Research InstituteWuhanChina
  3. 3.Hubei Key Laboratory of Power Grid Lightning Risk PreventionWuhanChina

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