Wireless Sensor Network to Monitor Environmental Parameters of Spinning Unit of Cotton Industry

Authors(3) :-S. V. Chavan, B. P. Ladgaonkar, S. K. Tilekar

It is found that, the industrial sector is demanding sophisticated electronics system, wherein the industrial parameters should be centrally monitored. The industrial parameters such as environmental humidity, temperature, leakages of hazardous gasses from process plants etc are widely distributed and depict spatio-temporal variations. In cotton yarn manufacturing industry, monitoring of the environmental parameters such as environmental temperature and relative humidity is essential to maintain the quality of the cotton yarn. The environmental temperature and relative humidity is maintained at the précised level in cotton industry. In fact, these parameters depict site specific variability (SSV). For monitoring the indoor environmental parameters of spinning unit of textile industry, deployment of the Wireless Sensor Network is most suitable solution. To monitor such parameters the wireless sensor network is implemented, wherein the wireless sensor nodes play a important role. With the greater reliability and flexibility the wireless sensors nodes are designed, wherein ARM microcontroller, ARM LM4F120H5QR, is used as a core for computational task and RF transceiver module Xbee series-2 chip, from DIGI International Inc, is used for Wireless communication. Deploying embedded technology the sensor nodes have been designed for monitoring of the two parameters such as, environmental temperature (0C) and relative humidity in spinning unit the textile industry. The smart sensors, SY-HS-220 for humidity measurement and LM35 for temperature measurement are deployed. Deploying such sensor nodes and the coordinator node, the wireless sensor network is established by employing Zigbee technology and implemented for monitoring of the dedicated parameters of the textiles industry. The results of implementation of WSN for monitoring of environmental parameters of spinning section of textile industry are interpreted in present paper.

Authors and Affiliations

S. V. Chavan
Department of Electronics, VLSI Design and Research Centre, Shankarrao Mohite Mahavidyalaya, Akluj, India
B. P. Ladgaonkar
Department of Electronics, VLSI Design and Research Centre, Shankarrao Mohite Mahavidyalaya, Akluj, India
S. K. Tilekar
Department of Electronics, VLSI Design and Research Centre, Shankarrao Mohite Mahavidyalaya, Akluj, India

Sensor Node, Wireless Sensor Networks, RF Module, ARM.

  1. G. Hunter, J. Stetter, P. Hesketh and C. Liu, “Smart Sensor System”, The Electrochemical Society Interface, Winter (2010) 29-34.
  2. B. Williams, M. Ingram, S. Chung and P. Elliott, “Model-Based Programming of Intelligent Embedded System and Robotic Space Explored”, Proceeding of the IEEE, 9 1 (2003) 212-237.
  3. C. Buratti, A. Conti, D. Dardari and R. Verdone, “An Overview on Wireless Sensor Network Technology and Evolution”, Sensors, 9, 6869-6896.
  4. M. Hempstead, M. Lyons, D. Broons and G. Wei, “Survey of Hardware Systems for Wireless Sensor Networks”, J. of Low Power Electronics, 4 (2008) 1-10.
  5. S. Boselin and S. Sophia, “A Survey of Adaptive Distributed Clustering Algorithm for Wireless Sensor Networks”, Int. J. of Comp. Sci. and Engg. Survey, 2 4 (2011) 167-176.
  6. M. Ameen J. Liu and K. Kwau, “Security and Privacy Issues in Wireless Sensor Networks for Healthcare Applications”, J. of Medical System, 36 1 (2012) 93-101.
  7. K. Sohraby, D. Minoli and T. Znati, “Wireless Sensor Network: Technology, Protocol and Applications”, John Willey and Son.  Inc, (2007).
  8. I. Mansoor, S. Munazza, A. Aleem, A. Kamran, M.Arsheen and A. Khalil, “ Textile Environmental Conditioing : Effect of Relative Humidity Variation on the Tensile Properties of Different Fabrics”, J. of Analytical Sciences, Methods and Instrumentation, 2 (2012),92-97.
  9. ASTM-D-1776, Textile Standard Atmosphere for Conditioning and Testing, 1998.
  10. K. Brown, J. Mann, “The Influence of Humidity on the Elastic Properties of Cotton Part-V- The Tensile Behaviour”, The Journal of Textile Institute, 21(4) 1930, 186-204.
  11. http://www.carel.com/documents/10191/0/%2B302235436/836102e6-d101-45d0-a1e1-d70fb5b5e294?version=1.0.
  12. S. Chavan, S. Tilekar and B. Ladgaonkar, “Design and Deployment of ARM Based Wireless Sensor Network to Monitor Industrial Parameters”, Int. J of Advan. Resear. In Comp. Sci. and Soft. Engg., 5(12), 2015, 213-228.
  13. G. Hunter, J. Stetter, P. Hesketh and C. Liu, “Smart Sensor System”, The Electrochemical Society Interface, Winter (2010) 29-34.
  14. B. Williams, M. Ingram, S. Chung and P. Elliott, “Model-Based Programming of Intelligent Embedded System and Robotic Space Explored”, Proceeding of the IEEE, 9 1(2003) 212-237.
  15. C. Buratti, A. Conti, D. Dardari and R. Verdone, “An Overview on Wireless Sensor Network Technology and Evolution”, Sensors, 9, 6869-6896.
  16. K. Maraiya, K. Kant and N. Gupta, “Application Based Study on Wireless Sensor Network”, Int. J. of Comp. App., 218, (2011) 9-15.

Publication Details

Published in : Volume 3 | Issue 3 | May-June 2017
Date of Publication : 2017-06-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 515-520
Manuscript Number : IJSRSET1733126
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

S. V. Chavan, B. P. Ladgaonkar, S. K. Tilekar, " Wireless Sensor Network to Monitor Environmental Parameters of Spinning Unit of Cotton Industry, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 3, Issue 3, pp.515-520, May-June-2017.
Journal URL : http://ijsrset.com/IJSRSET1733126

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