Implementation of Monitoring System for Air Quality using Raspberry PI: Experimental Study

Abstract

<span lang="EN-US">Because of rising dependency on fossil fuels, and rising amounts of toxic gases in the environment, it found that people are in need of a way to ensure the safety specifically those that live in cities. An approach is suggested in this paper, that is economical yet affords good detection, and can give accurate readings that can be analyzed and manipulated, and can even provide warnings through sending emails. These requirements are found in the Raspberry Pi when it hooked up to the sensors. This paper was focused on few dangerous gases such as Carbon Monoxide (CO), Nitrogen Dioxide (NO2) and other gases. The results in this paper showed that some gases, specifically CO, may be a problem in Kuwait as it is always slightly below the warning level. The success with the Raspberry Pi and the results were encouraging to open the way for much improvement in the future.</span>

Assessment of Water Quality Parameters in Real-Time Environment

“…It has been used in increasing efficient usage of real-time traffic transportation [13], design of wireless vision sensor network for smart home [14], communication network for Multi-unmanned aerial vehicle networks [15]. The Raspberry Pi has also been used in the implementation of 3D wavelet transform [16], screening of skin cancer [17], and air quality monitoring [18]. More applications of Raspberry Pi are real-time video surveillance systems [19], video stenography allocation [20], biometrics implementation [21], and automatic logging of telephone calls in the reading room [22].…”

Performance evaluation of portable air quality measurement system using raspberry pi for remote monitoring

“…Smartphone with additional device was used to form crowd-sensing [16][17][18]. Limited environmental monitoring using Raspberry Pi has also been proposed in [19][20][21]. Although many researches have been conducted on limited air pollution monitoring, however further research is still required to improve the accuracy, portability, and features.…”

Raspberry Pi-based smart sensing platform for drinking-water quality monitoring system: a Python framework approach

“…Drinking-water quality monitoring is essential before consumption in daily life, as it may affect human health directly or indirectly (Bhardwaj et al, 2018). As much as 80 % of illnesses are linked to poor quality water and sanitation conditions (Anan, 2003). The available water is severely polluted, and the situation may become worse in the future.…”

“…, real-time video surveillance systems -Fawzi et al, 2018; real-time paper currency recognition of new Indian notes after demonetization -Anilkumar and Srikanth, 2018; automatic traffic control systems -Talukder et al, 2017; smart traffic systems -Kumar et al, 2017; energy management systems based on real-time electricity pricing models -Qureshi et al, 2017; self-driving systems -Sumardi et al, 2018; 3-D wavelet transform -Bernabé et al, 2018; and air quality monitoring systems -Alkandari and Moein, 2018).…”