Smart Indoor Air Pollution Monitoring Station

2020 ◽  
Author(s):  
Ravi Kishore Kodali ◽  
Saisri Pathuri ◽  
Sasweth C. Rajnarayanan
Keyword(s):  
Air Pollution ◽  
Indoor Air ◽  
Indoor Air Pollution ◽  
Pollution Monitoring ◽  
Monitoring Station ◽  
Air Pollution Monitoring

scholarly journals IoT Based Automatic Air Pollution Monitoring and Purification System

2021 ◽  
Vol 9 (9) ◽  
pp. 1378-1383
Author(s):  
Manoj Gurung
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Indoor Air Quality ◽  
Indoor Air ◽  
Indoor Air Pollution ◽  
Premature Mortality ◽  
Cost Effective ◽  
Pollution Monitoring ◽  
Air Pollution Monitoring ◽  
Air Purifier

Abstract: Degradation of air quality, like climate change and global warming, has become an all-encompassing existential hazard to humanity and natural life. Exposure to severely polluted air on a regular basis causes pulmonary disorders and contributes to severe allergies and asthma. According to studies, more than 10 million people die each year as a result of irregularities produced directly or indirectly by air pollution. The work of Lelieveld et al. [1] sheds light on the gravity of the problem. It is estimated that by 2050, the worldwide premature mortality from air pollution will exceed 6.6 million fatalities per year (358000 from ozone, the rest from PM 2.5) [1]. As a result, we decided to focus our study on improving indoor air quality. Despite the fact that there are numerous indoor air purifiers on the market, their cost belies their effectiveness, and the effective ones are far too expensive for working-class people to afford [2]. In order to address this issue, we created an automated Internet of Things (IoT) based air filtration system that uses an automated air purifier which is triggered when air quality falls below WHO criteria. Our initiative intends to improve indoor air quality by utilizing the most cost-effective and efficient modules available. Keywords: Indoor Air Pollution, Air Purifier, IAQ, Sharp Dust Sensor GP2Y1010AU0F, IoT, Particulate Matter (PM), HEPA Filter

scholarly journals A Method to Construct an Indoor Air Pollution Monitoring System Based on a Wireless Sensor Network

Sensors ◽  
2019 ◽  
Vol 19 (4) ◽  
pp. 967 ◽  
Author(s):  
Ahras Naziha ◽  
Li Fu ◽  
Galloua Mohamed Elamine ◽  
Lingling Wang
Keyword(s):  
Air Pollution ◽  
Indoor Air ◽  
Indoor Air Pollution ◽  
Region Of Interest ◽  
Pollution Monitoring ◽  
Target Area ◽  
Mobile Nodes ◽  
Air Pollution Monitoring ◽  
Full Coverage ◽  
Monitoring Area

Wireless Sensors Networks (WSNs) are currently receiving much research interest due to their wide-ranging use is a number of different fields. In the current study, a system based on a WSN is proposed that can monitor indoor air pollution in several public spaces, such as subway stations, offices, schools, and hospitals. The proposed system uses integrated sensors in mobile phones, moving from a stationary nodes model to a mobile nodes model. The main objective of building this system is to provide full coverage of the target area. To achieve this goal, the system is simulated by MATLAB and the following algorithms are applied: Particle Swarm Optimization (PSO) to maximize the coverage in the region of interest (RoI), Voronoi Diagram (VD) to detect holes in the coverage, and finally the Point in Polygon (PiP) algorithm to heal the holes in the coverage. The application of the algorithms mentioned above has been very effective as PSO has increased the coverage rate of the monitoring area to 100%. The VD allowed us to define the exact location of coverage holes whilew the Point in Polygon algorithm allowed us to heal the holes and find the remaining sensors in order to improve network coverage. This enabled us to achieve full coverage of the monitoring area.

scholarly journals Application of Internet of Things (IoT) on air pollution monitoring database system

2019 ◽  
Vol 125 ◽  
pp. 25005
Author(s):  
Sudarsono ◽  
Muhammad Andang Novianta ◽  
Cyrilla Indri Parwati
Keyword(s):  
Air Pollution ◽  
Internet Of Things ◽  
Structural Information ◽  
Line Graph ◽  
Pollution Index ◽  
Database System ◽  
Pollution Monitoring ◽  
Monitoring Station ◽  
Pollution Level ◽  
Air Pollution Monitoring

In the present work, a database system of air pollution monitoring is developed using Internet of Things (IoT) technology. The system aims to give structural information and trace of air pollution level at particular monitoring station. The particular monitoring location (node) is connected to IoT/M2M server via GSM network using GPRS feature and display on IoT/M2M application in web form. The database on IoT/M2M contains name, description, and location of the monitoring station, Pollution index and the time when the data are taken. On IoT/M2M, the data are displayed either in a color bar graph or a line graph. The color indicated the index value of the pollution. The data can be accessed via internet on isfuonline.info. The system is tested at laboratory environment to detect CO, SO2, NO2, O3, and PM. The test result shows that the system is worked well. Time required to transfer the monitoring data to the IoT server is about 15 minutes. Meanwhile, response time of the system is 30 minutes.

scholarly journals EVALUASI TINGKAT POLUTAN DARI KEGIATAN PENGELOLAAN SAMPAH DI RUMAH KOMPOS SRIKANA DAN KEPUTRAN KOTA SURABAYA

2013 ◽  
Vol 11 (2) ◽  
Author(s):  
Irma Nur Asifa ◽  
Imam Thohari ◽  
Waluyo Jati
Keyword(s):  
Air Pollution ◽  
Descriptive Study ◽  
Quality Standard ◽  
Residential Area ◽  
Organic Wastes ◽  
Pollution Monitoring ◽  
Monitoring Station ◽  
Air Pollution Monitoring ◽  
Pollutant Level

Garbage materials are able to contaminate the environment in three ways:physically, chemically, and biologically. The large composition of garbage require managementand processing to reduce garbage load entering the TPA. In relation to this, Dinas Kebersihandan Pertamanan Kota 5urabaya has initiated composting of organic wastes partly to reducetheir volume. This study was aimed at measuring pollutants in compost materials especially interms of CO, 502, and H25 parameters. This activity was carried out in Composting Houses of5rikana and Keputran 5urabaya.This descriptive study was performed by measuring CO, SOb and H25 andlaboratory examination. The population under study was composting houses (18 sites) and thesample size was 2 composting houses.Results showed that pollutant level of CO, 502 and H25 in the air was not exceedingthe quality standard being implemented in East Java. The CO level in 5rikana CompostingHouse was 4.21 «(JgjNm3) and in residential area was 3.37 «(JgjNm3). 502 level in compostinghouse was 12.04 «(Jg/Nm3), while outside of house of 16.71 «(JgjNm3) and in residential areawas 4.16 «(Jg/Nm3). The H25 level in composting house was 9.13 «(Jg/Nm3), outside the housewas 6.54«(JgjNm3) and in residential area was 3.22 «(JgjNm3). The CO level in KeputranComposting House was 9.66 «(Jg/Nm3), in outside of the house was 15,74 (uq/Nrn") and in thesurrounding market was 4.18 «(Jg/Nm3). The 502 level in composting house was 6,88«(Jg/Nm3), outside of compost house 19.38«(Jg/Nm3), and in the surrounding market was 2,76«(Jg/Nm3). H2S level in composting house was 16,14 «(Jg/Nm3), in outside of the house was4,49 «(JgjNm3) and in the surrounding market was 1.97 «(Jg/Nm3). Temperature, humidity, andwind velocity lase have some influence as well but not too significant to increase pollutantlevel.It is suggested to Dinas Kebersihan dan Pertamanan Kota Surabaya to addcomposting house in its list of air pollution monitoring station.

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