NETWORK BASED SENSOR DATA COLLECTION APPROACH FOR INDUSTRIAL PROCESS MONITORING USING IOT
Abstract & Details
Research Area
Electronics and Instrumentation Engineering
Keywords
IoT
WSN
Zigbee
cloud
website
Abstract
The Industrial applications based on the Wireless Sensor Network is a spatially distributed sensor that
demands the most efficient techniques for monitoring with low cost, less power, and memory consumption. The
sensors are deployed in our project to monitor industrial parameters like temperature, pressure, flow, gas, etc.These
parameters were carefully selected based on the potential hazards they can cause to the normal working of the
Industry machine. In this project, the monitoring framework incorporates a smoke sensor, level sensor, flow sensor,
air pressure sensor, temperature sensor, PIR sensor, with Zigbee for data transmission and IoT to upload the data in
the cloud server.The network coordinator connected to the main processing unit which displays the sensor value in a
graphical user interface (GUI). The main processing unit also uploads data to the cloud server to monitor settings on
the Internet from any location on the dedicated monitoring website for the organization with proper authentication
details.The Data are collected, stored and can be accessed from all over the world at any moment with the secured
Login details for the authorized user.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | GANESH.K.R | SRM VALLIAMMAI ENGINEERING COLLEGE, CHENNAI, TAMILNADU, INDIA |
| 2 | KEERTHANA.C | SRM VALLIAMMAI ENGINEERING COLLEGE, CHENNAI, TAMILNADU, INDIA |
| 3 | KEERTHI.D | SRM VALLIAMMAI ENGINEERING COLLEGE, CHENNAI, TAMILNADU, INDIA |
| 4 | KIRTHANA.P.P | SRM VALLIAMMAI ENGINEERING COLLEGE, CHENNAI, TAMILNADU, INDIA |
| 5 | KIRTHIKA.K.S | SRM VALLIAMMAI ENGINEERING COLLEGE, CHENNAI, TAMILNADU, INDIA |
How to Cite
Use the following formats to cite this article in your research.
APA Style
GANESH.K.R, KEERTHANA.C, KEERTHI.D, KIRTHANA.P.P, & KIRTHIKA.K.S (2021). NETWORK BASED SENSOR DATA COLLECTION APPROACH FOR INDUSTRIAL PROCESS MONITORING USING IOT. International Journal of Advance Research and Innovative Ideas In Education, 7(2), 768-773.
MLA Style
GANESH.K.R, et al. "NETWORK BASED SENSOR DATA COLLECTION APPROACH FOR INDUSTRIAL PROCESS MONITORING USING IOT." International Journal of Advance Research and Innovative Ideas In Education, vol. 7, no. 2, 2021, pp. 768-773.
IEEE Style
GANESH.K.R, KEERTHANA.C, KEERTHI.D, KIRTHANA.P.P, and KIRTHIKA.K.S, "NETWORK BASED SENSOR DATA COLLECTION APPROACH FOR INDUSTRIAL PROCESS MONITORING USING IOT," International Journal of Advance Research and Innovative Ideas In Education, vol. 7, no. 2, pp. 768-773, 2021.
Vancouver Style
GANESH.K.R, KEERTHANA.C, KEERTHI.D, KIRTHANA.P.P, KIRTHIKA.K.S. NETWORK BASED SENSOR DATA COLLECTION APPROACH FOR INDUSTRIAL PROCESS MONITORING USING IOT. International Journal of Advance Research and Innovative Ideas In Education. 2021;7(2):768-773.
Harvard Style
GANESH.K.R, KEERTHANA.C, KEERTHI.D, KIRTHANA.P.P, & KIRTHIKA.K.S (2021) 'NETWORK BASED SENSOR DATA COLLECTION APPROACH FOR INDUSTRIAL PROCESS MONITORING USING IOT', International Journal of Advance Research and Innovative Ideas In Education, 7(2), pp. 768-773.
Chicago Style
GANESH.K.R, et al. "NETWORK BASED SENSOR DATA COLLECTION APPROACH FOR INDUSTRIAL PROCESS MONITORING USING IOT." International Journal of Advance Research and Innovative Ideas In Education 7, no. 2 (2021): 768-773.
Turabian Style
GANESH.K.R, et al. "NETWORK BASED SENSOR DATA COLLECTION APPROACH FOR INDUSTRIAL PROCESS MONITORING USING IOT." International Journal of Advance Research and Innovative Ideas In Education 7, no. 2 (2021): 768-773.
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