Arduino based Home Kitchen Air Monitoring System

2021 ◽  
Vol 9 (VI) ◽  
pp. 706-709
Author(s):  
Gaurav Bhargava
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Gas Sensor ◽  
Monitoring System ◽  
Industrial Development ◽  
Environmental Damage ◽  
Air Quality Monitoring ◽  
Root Cause ◽  
Oil Mist ◽  
Breathing Problem

Home Kitchen Air pollution is an addition of harmful substances in the atmosphere, which results in environmental damage. The industrial development and reduction in forests which are two main root cause of air pollution has increased the death rates people dying from diseases like breathing problem and lung cancer. So, to fight against this serious threat to mankind, we decided to standby this society and we made our mind to do something to detect the amount of impurities in the air and considerably reduce the amount of impurity present in the air. In the project, we are detecting impurities using gas sensor. Impure air is input to the gas sensor. The sensor is connected to the Arduino which consist of code which will help us in detecting the amount of impurities in the air. After taking the inputs regarding the amount of impurities from the doctor we have set a limit up to which extent impurities are not harmful. If the limit exceeds then a buzzer sounds along with LCD display which gives us the information that it’s time to switch ON the filtering device. After that filtering device gets turned ON and home kitchen air gets purified. Coming to applications it can be used in the place where there is a need of oil mist collectors, dust collectors, UV air purifiers etc. Which is defined to describe acute health and discomfort effects that appear to be linked to poor kitchen air quality and the time spent in a building. In this project, we are going to present an kitchen air quality monitoring system. Our system is connected to the sensor, and as a result we will get good air.

Air pollution in Astana: analysis of recent trends and air quality monitoring system

2018 ◽  
Vol 5 (11) ◽  
pp. 22749-22758 ◽  
Author(s):  
Aiymgul Kerimray ◽  
Aidyn Bakdolotov ◽  
Yerbol Sarbassov ◽  
Vasileios Inglezakis ◽  
Stavros Poulopoulos
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Monitoring System ◽  
Quality Monitoring ◽  
Air Quality Monitoring ◽  
Recent Trends

scholarly journals Air Quality and Active Transportation Modes: A Spatiotemporal Concurrence Analysis in Guadalajara, Mexico

2021 ◽  
Vol 13 (24) ◽  
pp. 13904
Author(s):  
Gabriela Ochoa-Covarrubias ◽  
Carlos González-Figueredo ◽  
Hugo DeAlba-Martínez ◽  
Alejandro L. Grindlay
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Monitoring System ◽  
Latin American ◽  
Active Transportation ◽  
Quality Monitoring ◽  
Bus Rapid Transit ◽  
Air Quality Monitoring ◽  
Rapid Transit ◽  
Transportation Modes

The protection of pedestrians, cyclists, and public transportation passengers from environmental pollution is a global concern. This study fills the gap in the existing knowledge of temporal exposure to air pollution in Latin American metropolises. The paper proposes a methodology addressing the relationship between two objects of study, i.e., the users of active modes of transport and air quality. This new methodology assesses the spatiotemporal concurrence of both objects with statistical analysis of large open-access databases, to promote healthy and sustainable urban mobility. The application of the empirical methodology estimated the number of users of active transportation modes exposed to poor air quality episodes in the Guadalajara metropolitan area (Mexico) in 2019. The study considered two pollutants, ozone (O3) and particulate matter (PM10), and two active modes, cycling and bus rapid transit (BRT). Spatiotemporal analyses were carried out with geographic information systems, as well as with numeric computing platforms. First, big data were used to count the number of users for each mode within the area of influence of the air quality monitoring stations. Second, the number of air pollution episodes was obtained using the air quality index proposed by the Environmental Protection Agency (USA) on an hourly basis. Third, the spatiotemporal concurrence between air quality episodes and active mode users was calculated. In particular, the air quality monitoring data from the Jalisco Atmospheric Monitoring System were compared to users of the public bicycle share system, known as MiBici, and of a bus rapid transit line, known as Mi Macro Calzada. The results showed that the number of cyclists and BRT passengers exposed to poor air quality episodes was considerable in absolute terms, that is, 208,660 users, while it was marginal when compared to the total number of users exposed to better air quality categories in the study area, who represented only 10%. To apply the results at the metropolitan scale, the spatial distribution of the air quality monitoring system should be improved, as well as the availability of data on pedestrians and conventional bus passengers.

Study on Uncertainty of Gas Monitoring Dynamic Calibration System

2011 ◽  
Vol 105-107 ◽  
pp. 1970-1974 ◽  
Author(s):  
Li De Fang ◽  
Xiu Ming Xiang ◽  
Xiao Ting Li ◽  
Li Li Pang ◽  
Xiao Jie Wang ◽  
...  
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Measurement Uncertainty ◽  
Monitoring System ◽  
Rapid Development ◽  
Measurement Model ◽  
Quality Monitoring ◽  
Dynamic Calibration ◽  
Air Quality Monitoring ◽  
Calibration System

With the rapid development of industry and transportation, air pollution is worsening, therefore, monitoring of air pollution components is more and more heeded. In this study, based on the measurement model and the composition of the air quality monitoring system on line, the mathematical model of the measurement system value transmission was analyzed, and the uncertainty components were calculated respectively, a conclusion that the main factor of the overall system uncertainty is the uncertainty of system itself in the existing air quality monitoring system was drawn, so measurement uncertainty of the calibration system was focused on the research. The effects of the Zero-gas, calibration gases and gas mass flow controller on the uncertainty of the calibration system was experimented and analyzed, and measurement uncertainty of the dynamic calibration system was evaluated.

scholarly journals Development of Air Quality Assessment System using WSN

2021 ◽  
pp. 346-351
Author(s):  
Parth Parashtekar ◽  
Neha Nilajkar ◽  
Purva Shetty ◽  
Deepali Yewale
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Embedded System ◽  
Monitoring System ◽  
Assessment System ◽  
Quality Monitoring ◽  
Air Quality Monitoring ◽  
Human Beings ◽  
Time Data ◽  
Air Quality Assessment

Air pollution is one of the most significant environmental issues. Nowadays, with the increasing population and industries, the air quality is getting degraded. Air pollutants can have severe effects on human health. They may also lead to chronic diseases. These pollutants are a threat not only to human beings but also to animals and birds. Cities like Delhi and Beijing are getting shut down due to excessive pollution and smog every year. As we know, air pollution causes all sorts of breathing disorders. Rectifying this issue is not in our hands, but we can monitor the situation and collect data to prevent this catastrophe in the future. This paper aims to design and implement an air quality monitoring system for constantly analyzing and reporting real-time data. This paper explains the prototype design of an embedded-system-based air quality monitoring system that will sense various harmful gases present in the air. This data will be gathered and stored in an easily accessible manner and displayed on a website.

Gas Sensor Based on Cobalt-Doped 3D Inverse Opal SnO2 for Air Quality Monitoring

2021 ◽  
pp. 130807
Author(s):  
Ke Chen ◽  
Yue Zhou ◽  
Rongrong Jin ◽  
Tianshuang Wang ◽  
Fangmeng Liu ◽  
...  
Keyword(s):  
Air Quality ◽  
Gas Sensor ◽  
Quality Monitoring ◽  
Inverse Opal ◽  
Air Quality Monitoring

Linear temperature microhotplate gas sensor array for automotive cabin air quality monitoring

2008 ◽  
Vol 134 (2) ◽  
pp. 660-665 ◽  
Author(s):  
L. Francioso ◽  
A. Forleo ◽  
A.M. Taurino ◽  
P. Siciliano ◽  
L. Lorenzelli ◽  
...  
Keyword(s):  
Air Quality ◽  
Gas Sensor ◽  
Sensor Array ◽  
Quality Monitoring ◽  
Air Quality Monitoring ◽  
Linear Temperature ◽  
Gas Sensor Array ◽  
Cabin Air Quality

scholarly journals Domain adaptation based deep calibration of low-cost PM2.5 sensors

2021 ◽  
Author(s):  
Sonu Kumar Jha ◽  
Mohit Kumar ◽  
Vipul Arora ◽  
Sachchida Nand Tripathi ◽  
Vidyanand Motiram Motghare ◽  
...  
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Domain Adaptation ◽  
Low Cost ◽  
Monitoring Network ◽  
Quality Monitoring ◽  
Air Quality Monitoring ◽  
Proposed Model ◽  
Temperature And Humidity ◽  
Calibration Approach

<div>Air pollution is a severe problem growing over time. A dense air-quality monitoring network is needed to update the people regarding the air pollution status in cities. A low-cost sensor device (LCSD) based dense air-quality monitoring network is more viable than continuous ambient air quality monitoring stations (CAAQMS). An in-field calibration approach is needed to improve agreements of the LCSDs to CAAQMS. The present work aims to propose a calibration method for PM2.5 using domain adaptation technique to reduce the collocation duration of LCSDs and CAAQMS. A novel calibration approach is proposed in this work for the measured PM2.5 levels of LCSDs. The dataset used for the experimentation consists of PM2.5 values and other parameters (PM10, temperature, and humidity) at hourly duration over a period of three months data. We propose new features, by combining PM2.5, PM10, temperature, and humidity, that significantly improved the performance of calibration. Further, the calibration model is adapted to the target location for a new LCSD with a collocation time of two days. The proposed model shows high correlation coefficient values (R2) and significantly low mean absolute percentage error (MAPE) than that of other baseline models. Thus, the proposed model helps in reducing the collocation time while maintaining high calibration performance.</div>

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