K. Suganyadevi et al, International Journal of Computer Science and Mobile Computing, Vol.3 Issue.9, September- 2014, pg. 388-396
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International Journal of Computer Science and Mobile Computing
A Monthly Journal of Computer Science and Information Technology
ISSN 2320–088X
IJCSMC, Vol. 3, Issue. 9, September 2014, pg.388 – 396
RESEARCH ARTICLE
Detection and Removal of Wood
Pellets in Pneumatic Conveying
Pipelines Using Robot
K.Suganyadevi, sugan.er@gmail.com, M.Lydia Sindhuja, lydiasherinm@gmail.com
Dept. of Electronics and Communication Engineering
Sri Eshwar College of Engineering, Kinathukadavu
Abstract – This paper presents a novel instrumentation system for detection of wood pellets in
pneumatic conveying pipelines and removing them using robot. The objective of this project is to
remove the wood pellets to increase the combustion efficiency which increases the power
generation. This project is a human controlled robot that gives an insight view about the pipeline. A
blower is used for maintenance. The robot is operated through PC using wireless zigbee technology
and using wireless camera we can get information about the pipeline.
Index Terms - Robot, Removing wood Pellets, Wireless Camera, Zigbee, Blower
I. Introduction
Electricity plays a major role in our day to day life. So, we are in need to produce large amount of
electricity which is carried out by means of various renewable power generation system. Among them Biomass
has become one of the most commonly used renewable energy sources for power generation because of its Co2
neutral properties [1]. Handling of biomass requires an elutriation process which is nothing but separation of
larger and the smaller particles using compressed air. The small particles like dust are conveyed to temporary
storage tank and then to furnace, while the large particles such as wood pellets are conveyed to grinding mill for
pulverization before combustion. Due to some difficulties in maintaining the elutriator, wood pellets may
present in dust flow. Direct combustion of wood pellets leads to many issues such as low combustion efficiency,
high pollution emission, slagging and fouling.
Currently, the detection of wood pellets in dust flow is realized through regular inspection of pipelines
manually. Initially, on-line particle size measurement is done [6]. Many of the techniques have been introduced
to detect wood pellets in pneumatic conveying pipelines. In laser diffraction system, particle size distribution is
determined using Mie theory [7]. In digital imaging technique, the charge coupled CMOS camera is used to