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Design of Non-Contact Fault Identification System for Underground Pipes

Santhiya R., Shiva kumar R, Dhianeshwaran N.K, Chandra V, Azhar A, Subash Pandian M

Abstract


ABSTRACT

Leakage or Block identification in the underground pipeline system is very difficult in real time. Detecting the location of such pipeline fault is also important in order to avoid the consequences like damage of water pipe, wastage of sources (Example: water in case of water pipe line). PVC, CPVC, PEX and Galvanized iron are few types of pipe which are used for underground water pipeline network system. Especially in corporation water pipeline connection to the user or to the commercial purpose, the manual operation is performed to locate the pipeline fault. It leads to time consumption and wastage of energy of manpower. The objective of this paper is to identify the exact location of pipeline fault by using the non-contact sensors. Instead of digging the soil or sand to predict the fault, the proposed model gives the approach to determine the fault without disturbing the environment. The result is simulated using the Lab view software.

 

Keywords: Underground pipe line system, Fault identification, Non-contact method, LabVIEW software, sensor, wireless sensor network.

Cite this Article: Santhiya R, Shiva Kumar R, Dhianeshwaran N.K, Chandra V, Azhar A, Subash Pandian M. Design of Non-Contact Fault Identification System for Underground Pipes. International Journal of Digital Electronics. 2019; 1(2): 18–27p.


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References


Abdul Salam, Mehmet C. Vuran, Xin Dong,Christos Argyropoulos, and Suat Irmak, “A Theoretical Model of Underground Dipole Antennas for Communications in Internet of Underground Things”, IEEE Transactions on Antennas and Propagation, DOI: 10.1109/TAP.

2902646, June 2019, V67(6),

pp.1-15.

Ali M. Sadeghioon, Nicole Metje, David Chapman & Carl Anthony, “Water pipeline failure detection using distributed relative pressure and temperature measurements and anomaly detection algorithms”, Urban Water Journal ,Vol. 15, No. 4, 2018, pp.287–295.

Andrea Cataldo, Giuseppe Cannazza, Egidio De Benedetto, and Nicola Giaquinto, “A New Method for Detecting Leaks in Underground Water Pipelines”, IEEE Sensors Journal, Vol. 12, No. 6, June 2012, pp.1660-166.

Chan T.K, Cheng Siong Chin, And Xionghu Zhong, “Review of Current Technologies and Proposed Intelligent Methodologies for Water Distributed Network Leakage Detection”,IEEE Access Journal, DOI: 10.1109/ACCESS.2018.2885444 ,Vol.6,2018,pp.78846–78867.

Chen Tao,Yun Lijun,Cheng Hengyu , Zhang Jingchao, Song Wenjun ,“Design and realization of integrated patrol-robot system forunderground pipe Gallery”, IEEE 13th International Conference on Electronic Measurement & Instruments, DOI: 10.1109/ICEMI.2017.8265758,Yangzhou, China, 2017,pp.177-182.

JayaLakshmi M, Dr.V.Gomathi, “An Enhanced Underground Pipeline Water Leakage Monitoring and Detection System Using Wireless Sensor Network”, in International Conference on Soft-Computing and Network Security, DOI: 10.1109/ICSNS.2015.7292399,Coimbatore, India, 2015.

Jihoon Choi, Joonho Shin, Choonggeun Song, Suyong Han and Doo I1Park, “Leak Detection and Location of Water Pipes Using Vibration Sensors and Modified ML Prefilter”, Journal of sensors-MDPI,2017, 17(9),doi: 10.3390/s

, pp.1–17.

Jovitha jerome, “Virtual Instrumentation using Labview” –Hand book,PHI learning private limited, ISBN-10: 8120340302, Prentice Hall India Learning Private Limited (2010),416 pages, Delhi, 2016.

Kazeem B. Adedeji, Yskandar Hamam, Bolanle Tolulope Abe, and Adnan M. Abu-Mahfouz, “Towards Achieving a Reliable Leakage Detection and Localization Algorithm for Application in Water Piping Networks: An Overview”, DOI: 10.1109/ACCESS.2017.2752802, IEEE Access Journal, Vol.5,2017, pp.20272-20285

Matthaios Bimpas, Angelos Amditis, Nikolaos K. Uzunoglu, “Design and Implementation of an Integrated High Resolution Imaging Ground Penetrating Radar for Water Pipeline Rehabilitation”, Springer-Water Resource Manage,2010,pp-1239-1250, Vilnius, Lithuania.

Mohd Ismifaizul Mohd Ismail, Noor Azurati Ahmad and Rudzidatul Akmam Dziyauddin,“Vibration Detection in Water Pipelines Leakage Using Wireless Three-Axis Accelerometer Sensor”, International Journal of Advanced Science and Technolog,Vol.112 , 2018, pp.137–150.

Motaz Daadoo Yousef-Awwad Daraghmi, “Smart Water Leakage Detection Using Wireless Sensor Networks (SWLD) ”, International Journal of Networks and Communications , doi:10.5923/j.ijnc.

01,2017,V7(1) pp.1-16.


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