Efficient model for IoT based railway crack detection system

被引:2
|
作者
Benazer, S. Sakena [1 ]
Dawood, M. Sheik [1 ]
Ramanathan, Sulochanan Karthick [2 ]
Saranya, G. [3 ]
机构
[1] Sethu Inst Technol, Virudunagar, India
[2] Almusanna Coll Technol, Muladdah, Oman
[3] Sri Krishna Coll Engn & Technol, Coimbatore, Tamil Nadu, India
关键词
Sensors; Railway crack; Moving robot; LED-LDR assembly; RF transmitter and receiver; Solar panel; INSPECTION; TRANSDUCERS; DEFECTS;
D O I
10.1016/j.matpr.2020.11.743
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In present's world, transport is a key requirement. The fourth biggest railway set of connections in India is the human race. This paper discuss about the detection of crack in a railway track. In previous methods GPS module and the GSM modem were used. It leads to high cost. The effective railway crack detection system utilizing the simple components inclusive of a RF transmitter and receiver, LED -LDR set up. It has low cost compared to the existing techniques. In this paper LED and LDR assembly is utilized to find out the crack in a railway track. RF is an obvious option for message, because it allows more information to be transferred at high speed and over long remoteness. Here the sensor data is transferred to control room or monitoring unit. In this paper we proposed an IoT Based crack detection system using LED-LDR assembly, RF transceiver include autonomous power unit using solar powered battery. (c) 2021 Elsevier Ltd. All rights reserved. Selection and peer-review under responsibility of the scientific committee of the International Conference on Advances in Materials Research-2019.
引用
收藏
页码:2789 / 2792
页数:4
相关论文
共 50 条
  • [31] Accurate Crack Detection Based on Distributed Deep Learning for IoT Environment
    Kim, Youngpil
    Yi, Shinuk
    Ahn, Hyunho
    Hong, Cheol-Ho
    SENSORS, 2023, 23 (02)
  • [32] Roadside IoT Sensor-Based Crack Detection for Smart Roads
    Ma, Fendi
    Wang, Gang
    Hui, Yilong
    Sun, Ruijin
    Li, Changle
    Mao, Guoqiang
    2023 IEEE 98TH VEHICULAR TECHNOLOGY CONFERENCE, VTC2023-FALL, 2023,
  • [33] IoT-based Railway Level Crossing Gate Control System
    Priyadharshini, D.
    Yamuna, R.
    Banu, G.
    Bensam, S. Dhas
    2024 SECOND INTERNATIONAL CONFERENCE ON INTELLIGENT CYBER PHYSICAL SYSTEMS AND INTERNET OF THINGS, ICOICI 2024, 2024, : 293 - 297
  • [34] Decentralized Energy Efficient Model for Data Transmission in IoT-based Healthcare System
    Sodhro, Ali Hassan
    Al-Rakhami, Mabrook S.
    Wang, Lei
    Magsi, Hina
    Zahid, Noman
    Pirbhulal, Sandeep
    Nisar, Kashif
    Ahmad, Awais
    2021 IEEE 93RD VEHICULAR TECHNOLOGY CONFERENCE (VTC2021-SPRING), 2021,
  • [35] Efficient Approach for Anomaly Detection in IoT Using System Calls
    Shamim, Nouman
    Asim, Muhammad
    Baker, Thar
    Awad, Ali Ismail
    SENSORS, 2023, 23 (02)
  • [36] Developing an Intelligent System for Efficient Botnet Detection in IoT Environment
    Rawat, Ramesh Singh
    Diwakar, Manoj
    Garg, Umang
    Srivastava, Prakash
    INTERNATIONAL JOURNAL OF MATHEMATICAL ENGINEERING AND MANAGEMENT SCIENCES, 2025, 10 (02) : 537 - 553
  • [37] IoT Based Railway Track Faults Detection and Localization Using Acoustic Analysis
    Siddiqui, Hafeez Ur Rehman
    Saleem, Adil Ali
    Raza, Muhammad Amjad
    Zafar, Kainat
    Munir, Kashif
    Dudley, Sandra
    IEEE ACCESS, 2022, 10 : 106520 - 106533
  • [38] IoT Based Condition Monitoring for Railway Track Fault Detection in Smart Cities
    Padhi, Shridhar
    Subhedar, Mansi
    Behra, Saikiran
    Patil, Tejesh
    IETE JOURNAL OF RESEARCH, 2023, 69 (09) : 5794 - 5803
  • [39] Efficient and Adaptable Patch-Based Crack Detection
    Guo, Jing-Ming
    Markoni, Herleeyandi
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 23 (11) : 21885 - 21896
  • [40] Heat stroke detection system based in IoT
    Oscar Antonio, Palma
    Martha Rocio, Ceballos
    Vicente, Reyes
    Carolina, Basto
    Boris, Barzallo
    2017 IEEE SECOND ECUADOR TECHNICAL CHAPTERS MEETING (ETCM), 2017,