Air Quality Monitoring with Focus on Wireless Sensor Application and Data Management

2020 ◽  
pp. 17-40
Author(s):  
Tan Loi Huynh ◽  
Sathita Fakprapai ◽  
Thi Kim Oanh Nguyen
Keyword(s):  
Air Quality ◽  
Data Management ◽  
Quality Monitoring ◽  
Wireless Sensor ◽  
Air Quality Monitoring ◽  
Sensor Application

scholarly journals A novel air quality monitoring and improvement system based on wireless sensor and actuator networks using LoRa communication

2021 ◽  
Vol 7 ◽  
pp. e711
Author(s):  
Truong Van Truong ◽  
Anand Nayyar ◽  
Mehedi Masud
Keyword(s):  
Air Quality ◽  
Loss Rate ◽  
Sensor Nodes ◽  
Quality Monitoring ◽  
Full Duplex ◽  
Wireless Sensor ◽  
Air Quality Monitoring ◽  
Relay Nodes ◽  
System Information ◽  
Online Software

In this paper, we study the air quality monitoring and improvement system based on wireless sensor and actuator network using LoRa communication. The proposed system is divided into two parts, indoor cluster and outdoor cluster, managed by a Dragino LoRa gateway. Each indoor sensor node can receive information about the temperature, humidity, air quality, dust concentration in the air and transmit them to the gateway. The outdoor sensor nodes have the same functionality, add the ability to use solar power, and are waterproof. The full-duplex relay LoRa modules which are embedded FreeRTOS are arranged to forward information from the nodes they manage to the gateway via uplink LoRa. The gateway collects and processes all of the system information and makes decisions to control the actuator to improve the air quality through the downlink LoRa. We build data management and analysis online software based on The Things Network and TagoIO platform. The system can operate with a coverage of 8.5 km, where optimal distances are established between sensor nodes and relay nodes and between relay nodes and gateways at 4.5 km and 4 km, respectively. Experimental results observed that the packet loss rate in real-time is less than 0.1% prove the effectiveness of the proposed system.

Air Quality Data Management System Based on VB.NET

2014 ◽  
Vol 955-959 ◽  
pp. 1147-1150
Author(s):  
A Gu Da Mu Liu ◽  
Peng Yang ◽  
Wen Sheng Lv ◽  
Jie Liu
Keyword(s):  
Air Quality ◽  
Data Management ◽  
Management System ◽  
System Development ◽  
Quality Monitoring ◽  
Monitoring Data ◽  
Data Management System ◽  
Quality Data ◽  
Air Quality Monitoring ◽  
Air Quality Data

In order to achieve the automatic management of air quality monitoring data, the air quality data management system has been developed using VB.NET platform and Oracle as background database. It is also combined with the situation of the air quality in Beijing and based on the air quality monitoring data. The paper analyzes the system from 6 aspects, including technology selection, system architecture, system data flow diagram, system development environment, system functions and system features. Finally this paper explains the significance of the system development and application prospects.

Wireless Sensor used in Indoor Air Quality Monitoring System

2011 ◽  
Author(s):  
Tsang-Jyu You ◽  
Wei-Lun Lee ◽  
Chung-Chih Lin ◽  
Ren-Guey Lee ◽  
Chao-Heng Tseng ◽  
...  
Keyword(s):  
Air Quality ◽  
Indoor Air Quality ◽  
Monitoring System ◽  
Indoor Air ◽  
Quality Monitoring ◽  
Wireless Sensor ◽  
Air Quality Monitoring

Deployment of Wireless Sensor Networks for Air Quality Monitoring

2013 ◽  
Vol 712-715 ◽  
pp. 1851-1855 ◽  
Author(s):  
Ming Wei Wang ◽  
Yue Wang ◽  
Qiang Hua Li
Keyword(s):  
Air Quality ◽  
Sensor Nodes ◽  
Quality Monitoring ◽  
Wireless Sensor ◽  
Air Pollution Control ◽  
Air Quality Monitoring ◽  
Transportation Industry ◽  
Residential Areas ◽  
Air Quality Forecast ◽  
Monitoring Center

At present, the effective technical means for air quality forecast and air pollution control is imperative for China environment utilities because of the increasing and serious environment pollution problems. In this paper, we discuss an air quality monitoring scenario which utilizes the wireless sensor network (WSN) to monitor the air quality of the transportation, industry and residential areas. Using the WSN, it is possible to deploy a large number of sensor nodes randomly distributed throughout the monitored area to capture environmental information of CO2, NO, NO2 and total suspended particulates. To achieve this goal, a special WSNs architecture is proposed, where the sensor nodes and coordinator nodes are designed by using ZigBee-based prototype wireless network, using GPRS to transmit the data from coordinator node to monitoring center, and designing the monitoring center server accessed from remote terminals through internet. In addition, the open source software (OSS) is proposed to design the database and website of the server. The designed air quality monitoring system reduces the cost of network installation and maintenance and provides a data delivery service for the air quality monitoring service in a timely and reliable manner.

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