IOT-BASED SMART ROBOT FOR AIR CONDITIONER DUCT CLEANING
Karan Ingle
, Ajinkya Mundhe , Gayatri Patange , Kaustubh Pune , Rajani Sahare
IoT, HVAC, Duct Cleaning Robot, ESP32, Ultrasonic Sensor, Automation, Smart Robotics, Remote Monitoring
This paper presents the design and development of an Internet of Things (IoT)-based smart robotic system for air conditioner duct cleaning, aimed at improving efficiency, safety, and automation in Heating, Ventilation, and Air Conditioning (HVAC) maintenance. Over time, air ducts accumulate dust, debris, and microbial contaminants, which degrade indoor air quality, increase energy consumption, and pose significant health risks. Conventional duct cleaning methods are manual, labor-intensive, and ineffective in reaching narrow and complex duct pathways, thereby creating a need for an intelligent automated solution.
The proposed system is developed using an ESP32 microcontroller integrated with DC motors, ultrasonic sensors, and a rotating brush mechanism to enable efficient navigation and cleaning inside confined duct spaces. Ultrasonic sensors are used for real-time obstacle detection to ensure safe movement, while a Wi-Fi-enabled camera module provides live video streaming for remote monitoring. The system incorporates IoT-based communication, allowing users to control the robot and monitor its operation through a mobile application interface.
Experimental results and simulation analysis demonstrate that the robot can effectively navigate duct environments, accurately detect obstacles, and remove accumulated dust with improved efficiency. The system significantly reduces human effort, enhances safety, and ensures reliable cleaning performance. Its compact design, low cost, and real-time monitoring capability make it a practical and scalable solution for modern HVAC maintenance and smart building applications.
"IOT-BASED SMART ROBOT FOR AIR CONDITIONER DUCT CLEANING", JETNR - JOURNAL OF EMERGING TRENDS AND NOVEL RESEARCH (www.JETNR.org), ISSN:2984-9276, Vol.4, Issue 4, page no.b909-b914, April-2026, Available :https://rjpn.org/JETNR/papers/JETNR2604254.pdf
Volume 4
Issue 4,
April-2026
Pages : b909-b914
Paper Reg. ID: JETNR_233912
Published Paper Id: JETNR2604254
Downloads: 00072
Research Area: Science and Technology
Country: Nagpur, Maharashtra, India
ISSN: 2984-9276 | IMPACT FACTOR: 9.87 Calculated By Google Scholar | ESTD YEAR: 2023
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.87 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: RJPN (IJPublication) Janvi Wave
