INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
This project's main goal is to use a microcontroller to locate where subterranean cable lines have suffered damage. Cables are buried beneath the earth in metropolitan areas to protect them from adverse weather conditions including snow, hail, and severe rain. Underground links are susceptible to a wide range of problems due to subterranean conditions, distance, mice, and various components. It is difficult to pinpoint the cause of a deformity, and in order to confirm and address problems, the entire relationship should be severed. Additionally, it aids in lowering the price of fault detection techniques. The major functional parts needed to show how fault detection and location might be implemented are put together during hardware execution.
Due to the lack of a suitable technique for determining the precise location and fault type that happened from the cable, it is challenging and problematic when a fault develops in an underground cable. The prototype is represented with a series of resistors that stand in for the cable's length, and switches that are positioned at each distance are utilised to produce faults in order to cross-check the prototype's accuracy at each detection. The voltage across the series resistor will change as needed if a defect is discovered. This a defect sensor circuit module, a microprocessor, a microcontroller, a digital display, and an appropriate power supply configuration with regulated power output are all included in the system software. for failure detection. Information is shown via IOT and a Wi-Fi module through the Internet. On an LCD attached to the IOT device, the accuracy and results of the fault readings of the subterranean are shown.
"A SURVEY ON IOT BASED UNDERGROUND CABLE FAULT DETECTOR USING ARDUINO", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.7, Issue 12, page no.a372-a375, December-2022, Available :http://www.ijnrd.org/papers/IJNRD2212052.pdf
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ISSN:
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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