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Application of RFID Tag in the Localization of Power Cable Based on Big Data

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Big Data and Security (ICBDS 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1796))

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Abstract

At present, cable labels have problems that labels are easy to knock and fall off during the storage and allocation of equipment. The binding falls off affected by the external environment and time, which cannot effectively support the unified coding and full life management of the equipment. A cable fault positioning algorithm based on big data is designed, which combines the positioning algorithm of uhf UHF RFID electronic label with the positioning algorithm of active label to realize the work safety monitoring management of inspection personnel and the automatic positioning reporting management of circuit barrier problems. The read-write conflict and interference problem in the passive UHF RFID electronic tags and the active UHF electronic tags are introduced in the original algorithm. The simulation of the algorithm is analyzed, and the simulation results prove that the present algorithm can solve the problem better than the original one. The algorithm can effectively locate the cable fault, and has certain engineering and theoretical value.

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Author information

Authors and Affiliations

  1. Jiangsu Electric Power Information Technology Co., Ltd., Nanjing, China

    Zhenyu Zhang, Shuming Feng, Yongcheng Yang & Gangbo Song

  2. Nanjing Institute of Technology, Nanjing, China

    Min Xiao

Authors
  1. Zhenyu Zhang
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  2. Shuming Feng
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  3. Min Xiao
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  4. Yongcheng Yang
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  5. Gangbo Song
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Corresponding author

Correspondence to Shuming Feng .

Editor information

Editors and Affiliations

  1. Nanjing Institute of Technology, Nanjing, China

    Yuan Tian

  2. Nanjing University of Information Science and Technology, Nanjing, Jiangsu, China

    Tinghuai Ma

  3. Chinese Academy of Sciences, Shenzhen, China

    Qingshan Jiang

  4. Nanjing University of Information Science and Technology, Nanjing, China

    Qi Liu

  5. King Saud University, Riyadh, Saudi Arabia

    Muhammad Khurram Khan

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Zhang, Z., Feng, S., Xiao, M., Yang, Y., Song, G. (2023). Application of RFID Tag in the Localization of Power Cable Based on Big Data. In: Tian, Y., Ma, T., Jiang, Q., Liu, Q., Khan, M.K. (eds) Big Data and Security. ICBDS 2022. Communications in Computer and Information Science, vol 1796. Springer, Singapore. https://doi.org/10.1007/978-981-99-3300-6_8

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  • DOI: https://doi.org/10.1007/978-981-99-3300-6_8

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-3299-3

  • Online ISBN: 978-981-99-3300-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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