Platform for monitoring and analysis of air quality in environments with large circulation of people

Abstract

Due to the numerous problems raised by the increase in the emission of pollutant gases in the atmosphere, it has become essential a more effective monitoring of air quality. With that, several studies published in recent years have shown a series of mechanisms and techniques with ability to monitor air quality in a variety of ways. Approaching it, this work proposes a platform formed by a wireless sensor network, with the ability to monitor the levels of pollution at several points simultaneously. In addition, was implement the data mining tool, where by means of algorithms classification based on artificial intelligence concepts, it is possible that a more advanced analysis of air quality is performed. The platform was used for the monitoring of two public places, which have large traffic of vehicles and people daily, for a period of 12 consecutive weeks. On weekdays, peaks of 703 ppm of CO2 concentration were measured between 06:00 and 07:00 pm by the sensors located near the highways or avenues with higher traffic of cars. Conversely, indices around 500 ppm were the lowest obtained near 6:00 am where the car traffic is very low. This is the best time for hiking. © 2018 American Institute of Chemical Engineers Environ Prog, 37: 1901–1907, 2018

[Retracted] Wireless Sensor Network Topology Theory for Data Collection and Analysis of Sports Training Human Body

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Construction of Wireless Underground Footwork Mobile Training and Monitoring Sensor Network in Venues of Major Sports Events

“…The composing factors of this project's ability are mainly composed of two parts: reaction ability and movement speed ability. Researchers believe that mobility refers to the ability of the batter to obtain the best hitting point through the movement of footwork [14]. It also requires athletes to choose and apply flexibly and accurately according to the on-the-spot situation in a constantly changing competition environment.…”

Monitoring and Analysis of Outdoor Carbon Dioxide Concentration by Autonomous Sensors

“…The measurements performed by each sensor, spread across multiple points in the measurement environment, were sent to a central sensor, which was the only one capable of replicating all the data to a central database. Subsequently, the data were analyzed to generate knowledge through queries and data-mining techniques [18]. Despite enabling air quality analysis, the use of a wireless sensor network created some difficulties and limitations.…”