HVAC ventilation shafts have limited accessibility due to its limited size, complex mapping, and poor visibility. Obtaining diagnostic information about errors in these shafts is difficult. Our project aims to solve some of these problems by creating the HVAC Diagnostic Bot: a fully autonomous bot capable of gathering accurate diagnostic data from inaccessible places and mapping the traversed HVAC ducts.
Rectangular, right angled ventilation shafts have limited accessibility due to their limited size, complex mapping, and poor visibility. Obtaining diagnostic information about errors in these shafts is difficult. The current methods for identifying problems in HVAC shafts are with physical access from a technician, or random estimation as to where the problem could lie. But these methods are inefficient in terms of cost and time, hazardous to the health of the technician, incomplete in its approach, inaccurate because of the randomness of approximation.
