Open AccessDesign of Aerial Probe for 3D Mapping of AQI Index of Carbon Monoxide Levels
Author(s) -
Ashvini Chaturvedi,
Satbir Jain,
Prof. S. Indu
Publication year - 2020
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.f8387.038620
Subject(s) - wireless sensor network , computer science , automation , visualization , government (linguistics) , wireless , environmental science , real time computing , telecommunications , engineering , computer network , data mining , mechanical engineering , linguistics , philosophy
With the onset of Industry 4.0, automation and its applications have led to an increase in the product development domain. Numerous products have been developed involving wireless connectivity, sensors and embedded systems that lead to easiness in data visualization and computation. The market of automation has just started to be penetrated by start-ups and various established multinational companies, leading to an increased focus on the future of integration of Artificial Intelligence with hardware and networking. With current focus on sustainable development and climate change, our idea was to develop a product which could help private as well as government agencies in mobile air pollution detection over large neighbourhoods and cities. The purpose of this paper is to define the design and development of a radio frequency remote controlled aerial probe which aims at providing real-time telemetry data to a wireless base station, along with the capabilities of 3D mapping the concentration of Carbon Monoxide (CO) particles in the atmosphere and the contaminants dependencies on air temperature and pressure. We also aim at testing the accuracy of the particulate contaminant sensor by comparing the collected data value with the given government database, in order to calculate the percent error.