An Air Quality Monitoring System Based on Sensor Array and Framework of Cloud Computing

2013 ◽  
Vol 475-476 ◽  
pp. 144-147
Author(s):  
Zhi Li Song ◽  
Yun Xiang Liu ◽  
Wan Jun Yu
Keyword(s):  
Cloud Computing ◽  
Air Quality ◽  
Monitoring System ◽  
Sensor Array ◽  
Ambient Air ◽  
Environmental Security ◽  
Quality Monitoring ◽  
Right To Know ◽  
Air Quality Monitoring

In this paper, an air quality monitoring system based on sensor array and framework of cloud computing is implemented. This system can surveil and report the information gathered from the ambient air condition in real time and inexpensive way, it can protect the public's right to know about the environmental security that everyone living in. All efforts and works of this paper is to turn the dreams into reality: to preserve and improve the quality of our living environment's air, in the sense of keep the damage to our health far away, through the strong pressure of public opinion.

Analysis of Ambient Air Quality Status and Trends from 2010 to 2012 in Chengkou County of Chongqing City in China

2013 ◽  
Vol 726-731 ◽  
pp. 1427-1430
Author(s):  
Wen Hua Jiang ◽  
Dao Jin Chen ◽  
Xian Qiong Long
Keyword(s):  
Air Quality ◽  
Southwest China ◽  
Ambient Air ◽  
Quality Monitoring ◽  
Air Quality Monitoring ◽  
Ambient Air Quality ◽  
Monthly Average ◽  
Chongqing City ◽  
Quality Status

The air quality monitoring data from 2010 to 2012 in Chengkou County of Chongqing City in Southwest China was analyzed.The results show that in recent years the air pollutans affecting the air quality in Chengkou County mainly is PM10 and secondly is SO2. The monthly average concentrations of PM10 and SO2 show a U-shape trend with the highest values in January.The average concentrations of PM10 and SO2 are highest in winter and lowest in summer with obvious seasonal changes.The air quality of Chengkou in 2011 and 2011 has been somewhat improved compared with that in 2010.

scholarly journals Smart Sensor Network Based High Quality Air Pollution Monitoring System Using Labview

2017 ◽  
Vol 13 (08) ◽  
pp. 79 ◽  
Author(s):  
Nagarjuna Telagam ◽  
Nehru Kandasamy ◽  
Nagendra Prasad G ◽  
Menakadevi Nanjundan
Keyword(s):  
Air Quality ◽  
Real Time ◽  
Sensor Network ◽  
Monitoring System ◽  
Smart Cities ◽  
Ambient Air ◽  
Pollution Monitoring ◽  
Quality Monitoring ◽  
Air Quality Monitoring ◽  
Laptop Computer

A ZigBee based wireless sensor network is implemented in this paper which is of low-cost solar-powered air quality monitoring system. The main objective of the proposed architecture is to interfacing various sensors to measure the sensor analog data and displayed in LabVIEW on the monitor using the graphical user interface (GUI).  The real time ambient air quality monitoring in smart cities is of greater significance for the health of people. The wireless network sensor nodes are placed at different traffic signals in the smart cities which collect and report real-time data on different gases which are present in the environment such as carbon monoxide (CO), nitrogen dioxide (NO2), methane (CH4) and humidity. The proposed system allows smart cities to monitor air quality conditions on a desktop/laptop computer through an application designed using graphical programming based LabVIEW software and provides an alert if the air quality characteristics exceed acceptable levels. The sensor network was successfully tested on the campus of the institute of aeronautical engineering, Hyderabad. The sensor data are indicated by different indicators on the front panel of LabVIEW and also different charts are plotted with respect to time and amplitude which explains the severity of polluted areas.

scholarly journals Design and on-field testing of wireless sensor network-based air quality monitoring system

2019 ◽  
Vol 3 (02) ◽  
pp. 54-59
Author(s):  
Qasem Abu Al-Haija
Keyword(s):  
Air Quality ◽  
Real Time ◽  
Monitoring System ◽  
Field Testing ◽  
Ambient Air ◽  
Quality Monitoring ◽  
Wireless Sensor ◽  
Air Quality Monitoring ◽  
Carbon Dioxide Co2 ◽  
Total Volatile Organic Compounds

The wireless sensor networks (WSN) are increasingly implemented in air quality monitoring with real-time and high spatial-temporal resolution. In this context, current work aimed at designing and testing a cost- and energy-efficient WSN-based air quality monitoring system. The system was assembled principally by wireless sensors, solar cells, microcontroller and network communication. In addition, a new circuit for buck-boost converter was implemented for voltage and current regulations. On-field, testing the proposed air quality monitoring system outdoor and indoor showed efficient real-time readings for the concentrations of carbon dioxide (CO2) and total volatile organic compounds (TVOC). Furthermore, it provided data about ambient temperature, relative humidity and air pressure with good accuracy. In conclusion, our results suggest a reliable and scalable WSN-based system for monitoring ambient air quality.

scholarly journals Evaluation of Ambient Air Quality Monitoring System in Jakarta: A Literatur Review

2019 ◽  
Vol 5 (1) ◽  
Author(s):  
Michelle Gunawan ◽  
Riri Asyahira ◽  
Filson M Sidjabat
Keyword(s):  
Air Quality ◽  
Monitoring System ◽  
Ambient Air ◽  
Air Pollutant ◽  
Data Availability ◽  
Quality Monitoring ◽  
Quality Data ◽  
Air Pollution Control ◽  
Air Quality Monitoring ◽  
Ambient Air Quality

<p>As the first step to air pollution control and public health protection, Air quality monitoring systems provides information that indicate the extend of pollution in an area, the source of pollution and the types of pollutants. Therefore, the aim of this study is to evaluate Jakarta’s air quality monitoring system by comparing it to the US, which participates in Indonesia’s air quality monitoring system by using their own system.  In specific, parameters such as air quality index, monitoring stations, regulation and data availability are to be compared through reviewing various literatures in detail.  The result obtained shows that the monitoring station amount is already ideal and complies to the U.S regulation. Indonesia’s ambient air quality standard need to be stricter and Air Pollutant Standard Index should include PM<sub>2.5</sub> as a parameter obtains significantly better results. Air quality data is available and accessible, although it needs to be integrated and provide real time information in a simple and effective way.</p>

scholarly journals Implementation of IoT-Based Air Quality Monitoring System for Investigating Particulate Matter (PM10) in Subway Tunnels

2020 ◽  
Vol 17 (15) ◽  
pp. 5429
Author(s):  
Jun Ho Jo ◽  
ByungWan Jo ◽  
Jung Hoon Kim ◽  
Ian Choi
Keyword(s):  
Cloud Computing ◽  
Particulate Matter ◽  
Air Quality ◽  
Monitoring System ◽  
Quality Management System ◽  
Quality Measurement ◽  
Quality Monitoring ◽  
Air Quality Monitoring ◽  
South Korean ◽  
Subway Tunnels

Air quality monitoring for subway tunnels in South Korea is a topic of great interest because more than 8 million passengers per day use the subway, which has a concentration of particulate matter (PM10) greater than that of above ground. In this paper, an Internet of Things (IoT)-based air quality monitoring system, consisting of an air quality measurement device called Smart-Air, an IoT gateway, and a cloud computing web server, is presented to monitor the concentration of PM10 in subway tunnels. The goal of the system is to efficiently monitor air quality at any time and from anywhere by combining IoT and cloud computing technologies. This system was successfully implemented in Incheon’s subway tunnels to investigate levels of PM10. The concentration of particulate matter was greatest between the morning and afternoon rush hours. In addition, the residence time of PM10 increased as the depth of the monitoring location increased. During the experimentation period, the South Korean government implemented an air quality management system. An analysis was performed to follow up after implementation and assess how the change improved conditions. Based on the experiments, the system was efficient and effective at monitoring particulate matter for improving air quality in subway tunnels.

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