Mobile Inspection Robot for Heating, Ventilation and Air Conditioning (HVAC) Ducting Systems
DOI:
https://doi.org/10.11113/jt.v73.4411Keywords:
Mobile Robot, heating, Ventilation and Air Condition (HVAC), Sick Building Syndrome (SBS), User Datagram Protocol (UDP), Raspberry PiAbstract
Indoor air quality is an issue often neglected by the public. One of the main issues is due to the unawareness of importance of scheduled maintenance of Heating, Ventilation and Air Condition (HVAC) ducting systems. A contaminated ventilation duct is able to spread biological and non-biological pollutants throughout the building and result in Sick Building Syndrome (SBS). Accumulated dust can be the spreading medium for contaminants. Moreover, the size of ducts is often small and difficult to be examined. In this paper, a mobile inspection robot solution is developed to overcome the problem. It is equipped with a camera to provide forward vision and a mechanical gripper to take samples of suspected harmful or contagious substances. It is also able to brush off the dust in the duct if necessary. Due to the long distance needed to be travelled by the tethered cable, a User Datagram Protocol (UDP) is used to ensure the command signal. The robot is expected to be able to maneuver in the ducts and capture live video for the operator.
References
B. A. Northrop and M. T. Phillips. 1994. Is Work Killing You? - Don't Let It. In Professional Communication Conference, 1994. IPCC '94 Proceedings. Scaling New Heights in Technical Communication., International. 432–437.
W. Moczulski, M. Adamczyk, P. Przystałka, and A. Timofiejczuk. 2007. Mobile Robot for Inspecting Ventilation Ducts. In Recent Advances in Mechatronics, R. Jabłoński, M. Turkowski, and R. Szewczyk, Eds. Springer Berlin Heidelberg. 47–51.
L. Sehulster and R. Y. W. Chinn. 2003. Guidelines for Environmental Infection Control in Health-Care Facilities. Division of Healthcare Quality Promotion National Center for Infectious Diseases, HICPAC Member, Sharp Memorial Hospital San Diego, California, United States of America.
J. Seung Woo, J. Wootae, P. Duckshin, and K. Soon-Bark. 2012. Design of an Intelligent Duct Cleaning Robot with Force Compliant Brush. In Control, Automation and Systems (ICCAS), 2012 12th International Conference on. 2033–2037.
W. Neubauer. 1994. A Spider-Like Robot That Climbs Vertically In Ducts or Pipes. In Intelligent Robots and Systems '94. 'Advanced Robotic Systems and the Real World', IROS '94. Proceedings of the IEEE/RSJ/GI International Conference on. 2: 1178–1185.
R. Neves and A. C. Matos. 2013. Raspberry PI Based Stereo Vision for Small Size ASVs. In Oceans - San Diego, 2013. 1–6.
M. Zolkapli, S. A. M. Al-Junid, Z. Othman, A. Manut, and M. A. Mohd Zulkifli. 2013. High-Efficiency Dual-Axis Solar Tracking Development using Arduino. In Technology, Informatics, Management, Engineering, and Environment (TIME-E), 2013 International Conference on. 43–47.
(2015, 15/01). Arduino Uno. Available: http://arduino.cc/en/Main/ArduinoBoardUno.
J. Hau-Shiue and L. Kai-Yew. 2013. Design and Control of a Two-Wheel Self-Balancing Robot using the Arduino Microcontroller Board. In Control and Automation (ICCA), 2013 10th IEEE International Conference on. 634–639.
R. Hirst. (2013, 15/01). ServoBlaster. Available: https://github.com/richardghirst/PiBits/tree/master/ServoBlaster.
(2015, 15/01). Raspberry Pi. Available: http://www.raspberrypi.org/.
D. Hughes. (2015, 15/01). Camera Hardware. Available: http://picamera.readthedocs.org/en/release-1.9/.
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