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Industrial conveyor systems are integral to
manufacturing, warehousing, and material-handling
operations; however, they are characterised by
continuous dependence on external electrical supply and
inefficient maintenance practices that incur significant
energy losses and operational costs. This paper presents
the design and experimental evaluation of a conveyor
system that integrates a dynamo-based mechanical
energy harvesting mechanism with an Internet of Things
(IoT)-enabled automated cleaning system. The
rotational motion of the conveyor rollers drives a 12 V,
5 W dynamo whose output charges a rechargeable
lithium-ion battery through a relay-controlled automatic
transfer
switch
(ATS).
A NodeMCU ESP32
microcontroller communicates with the Blynk cloud
platform to enable real-time voltage monitoring and
remote activation of a brush-type belt-cleaning actuator.
Experimental results demonstrate that the proposed
system reduces power consumption by approximately
20% (from 30 W to 24 W), improves energy conversion
efficiency from 65% to 85%, and extends battery backup
duration from 2.8 hours to 7 hours when dynamo support
is active. The automated cleaning mechanism, operated
in periodic bursts of 10–15 seconds, effectively removes
accumulated debris without manual intervention. The
system aligns with UN Sustainable Development Goals
7, 8, 9, and 11, and provides a scalable, cost-effective
foundation for smart industrial automation in the context
of Industry 4.0.
Keywords:
Energy harvesting, IoT automation, conveyor system, dynamo generator, automated cleaning, NodeMCU ESP32.
Cite Article:
"Conveyor Energy Harvesting and IOT Based Cleaning Mechanism", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 4, page no.a962-a965, April-2026, Available :http://www.ijrti.org/papers/IJRTI2604128.pdf
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ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator