ISSN2456-3315
Impact Factor10.57
UGC CAREApproved
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CrossRefDOI
ESTD2016
Peer ReviewTransparent
AccessOpen
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Paper Title
Embedded monitoring of industrial process through wireless communication
Authors
B.SUREKHA , K.ARUNA MANJUSHA , V. Keerthi Kiran , B. Priyanka
Keywords
Keywords: raspberry pi; wireless, industrial, PCB, SMD.
Abstract
Abstract: This paper proposes an advanced system for process management via a credit card sized single board computer called raspberry pi based multi parameter monitoring hardware system designed using RS232 and microcontroller that measures and controls various global parameters. The system comprises of a single master and multiple slaves with wireless mode of communication and a raspberry pi system that can either operate on windows or linux operating system. The parameters that can be tracked are current, voltage, temperature, light intensity and water level. The hardware design is done with the surface mount devices (SMD) on a double layer printed circuit board (PCB) to reduced the size and improve the power efficiency. The various interesting features are field device communication via USB-OTG enabled Android devices, on field firm ware update without any specific hardware and remote monitoring and control.
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How To Cite
"Embedded monitoring of industrial process through wireless communication", IJRTI - International Journal for Research Trends and Innovation (www.IJRTI.org), ISSN:2456-3315, Vol.2, Issue 7, page no.68 - 74, July-2017, Available :https://ijrti.org/papers/IJRTI1707013.pdf
Issue
Volume 2 Issue 7,
July-2017
Pages : 68 - 74
Other Publication Details
Paper Reg. ID: IJRTI_170419
Published Paper Id: IJRTI1707013
Downloads: 205,601
Research Area: Engineering
Country: RAMACHANDRA PURAM, E.G.DT, ANDHRA PRADESH, INDIA
Published Paper PDF: https://ijrti.org/papers/IJRTI1707013
Published Paper URL: https://ijrti.org/viewpaperforall?paper=IJRTI1707013
About Publisher
ISSN: 2456-3315 | IMPACT FACTOR: 10.57 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 10.57 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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